diff --git a/1_data_science/simulationsstudie/SoSe25_StatLearning_Aufgabenstellung_YannAhlgrim.pdf b/1_data_science/simulationsstudie/SoSe25_StatLearning_Aufgabenstellung_YannAhlgrim.pdf
index 81115cc..f08d10b 100644
Binary files a/1_data_science/simulationsstudie/SoSe25_StatLearning_Aufgabenstellung_YannAhlgrim.pdf and b/1_data_science/simulationsstudie/SoSe25_StatLearning_Aufgabenstellung_YannAhlgrim.pdf differ
diff --git a/1_data_science/simulationsstudie/yann_ahlgrim_simulationsstudie.ipynb b/1_data_science/simulationsstudie/yann_ahlgrim_simulationsstudie.ipynb
index 7217924..b133257 100644
--- a/1_data_science/simulationsstudie/yann_ahlgrim_simulationsstudie.ipynb
+++ b/1_data_science/simulationsstudie/yann_ahlgrim_simulationsstudie.ipynb
@@ -93,7 +93,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 163,
    "id": "97ba29a9",
    "metadata": {},
    "outputs": [],
@@ -121,7 +121,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 164,
    "id": "61247da5",
    "metadata": {},
    "outputs": [],
@@ -181,7 +181,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 165,
    "id": "f8e0efb0",
    "metadata": {},
    "outputs": [
@@ -292,7 +292,7 @@
        "4  Außerorts   Mo-Fr  "
       ]
      },
-     "execution_count": 3,
+     "execution_count": 165,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -322,7 +322,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 166,
    "id": "6bfb199a",
    "metadata": {},
    "outputs": [
@@ -353,7 +353,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 167,
    "id": "1d3df64a",
    "metadata": {},
    "outputs": [
@@ -384,7 +384,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 168,
    "id": "49045ee5",
    "metadata": {},
    "outputs": [
@@ -495,7 +495,7 @@
        "4  Außerorts   Mo-Fr  "
       ]
      },
-     "execution_count": 6,
+     "execution_count": 168,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -504,6 +504,232 @@
     "df.head()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "d27de9c5",
+   "metadata": {},
+   "source": [
+    "### Dummies erzeugen"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 169,
+   "id": "4ad287b1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>const</th>\n",
+       "      <th>avg_speed</th>\n",
+       "      <th>hard_brakes</th>\n",
+       "      <th>trip_distance</th>\n",
+       "      <th>shift_frueh</th>\n",
+       "      <th>shift_normal</th>\n",
+       "      <th>shift_spaet</th>\n",
+       "      <th>speeding_haeufig</th>\n",
+       "      <th>speeding_manchmal</th>\n",
+       "      <th>speeding_selten</th>\n",
+       "      <th>weather_nass</th>\n",
+       "      <th>weather_trocken</th>\n",
+       "      <th>weather_winterlich</th>\n",
+       "      <th>road_Autobahn</th>\n",
+       "      <th>road_Außerorts</th>\n",
+       "      <th>road_Innerorts</th>\n",
+       "      <th>weekday_Mo-Fr</th>\n",
+       "      <th>weekday_Sa</th>\n",
+       "      <th>weekday_So</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>64.494547</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>30.449962</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>44.139270</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>11.911103</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>42.154349</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>6.086055</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>20.466814</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.732684</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>46.917154</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>7.256758</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   const  avg_speed  hard_brakes  trip_distance  shift_frueh  shift_normal  \\\n",
+       "0    1.0  64.494547          2.0      30.449962          1.0           0.0   \n",
+       "1    1.0  44.139270          3.0      11.911103          1.0           0.0   \n",
+       "2    1.0  42.154349          2.0       6.086055          0.0           0.0   \n",
+       "3    1.0  20.466814          5.0       5.732684          0.0           1.0   \n",
+       "4    1.0  46.917154          2.0       7.256758          0.0           0.0   \n",
+       "\n",
+       "   shift_spaet  speeding_haeufig  speeding_manchmal  speeding_selten  \\\n",
+       "0          0.0               0.0                1.0              0.0   \n",
+       "1          0.0               1.0                0.0              0.0   \n",
+       "2          1.0               0.0                0.0              1.0   \n",
+       "3          0.0               1.0                0.0              0.0   \n",
+       "4          1.0               0.0                0.0              1.0   \n",
+       "\n",
+       "   weather_nass  weather_trocken  weather_winterlich  road_Autobahn  \\\n",
+       "0           0.0              1.0                 0.0            0.0   \n",
+       "1           0.0              1.0                 0.0            1.0   \n",
+       "2           0.0              1.0                 0.0            1.0   \n",
+       "3           0.0              1.0                 0.0            0.0   \n",
+       "4           0.0              1.0                 0.0            0.0   \n",
+       "\n",
+       "   road_Außerorts  road_Innerorts  weekday_Mo-Fr  weekday_Sa  weekday_So  \n",
+       "0             0.0             1.0            1.0         0.0         0.0  \n",
+       "1             0.0             0.0            1.0         0.0         0.0  \n",
+       "2             0.0             0.0            1.0         0.0         0.0  \n",
+       "3             0.0             1.0            1.0         0.0         0.0  \n",
+       "4             1.0             0.0            1.0         0.0         0.0  "
+      ]
+     },
+     "execution_count": 169,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "shift_dummies = pd.get_dummies(shift_behavior, prefix='shift')\n",
+    "speeding_dummies = pd.get_dummies(speeding, prefix='speeding')\n",
+    "weather_dummies = pd.get_dummies(weather, prefix='weather')\n",
+    "road_dummies = pd.get_dummies(road_type, prefix='road')\n",
+    "weekday_dummies = pd.get_dummies(weekday, prefix='weekday')\n",
+    "\n",
+    "X = pd.DataFrame({\n",
+    "    'const': np.ones(N),  # fuer konstante\n",
+    "    'avg_speed': avg_speed,\n",
+    "    'hard_brakes': hard_brakes,\n",
+    "    'trip_distance': trip_distance\n",
+    "})\n",
+    "X = pd.concat([X, shift_dummies, speeding_dummies, weather_dummies, road_dummies, weekday_dummies], axis=1)\n",
+    "\n",
+    "X = X.astype(float)\n",
+    "\n",
+    "X.head()"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "1f6ee727",
@@ -514,24 +740,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 170,
    "id": "75318d77",
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\yann\\AppData\\Local\\Temp\\ipykernel_15840\\2403674952.py:43: FutureWarning: \n",
-      "\n",
-      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
-      "\n",
-      "  sns.countplot(x=target, palette='viridis')\n"
-     ]
-    },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x600 with 1 Axes>"
       ]
@@ -541,29 +756,27 @@
     }
    ],
    "source": [
-    "shift_dummies = pd.get_dummies(shift_behavior, prefix='shift')\n",
-    "speeding_dummies = pd.get_dummies(speeding, prefix='speeding')\n",
-    "weather_dummies = pd.get_dummies(weather, prefix='weather')\n",
-    "road_dummies = pd.get_dummies(road_type, prefix='road')\n",
-    "weekday_dummies = pd.get_dummies(weekday, prefix='weekday')\n",
     "\n",
-    "X = pd.DataFrame({\n",
-    "    'avg_speed': avg_speed,\n",
-    "    'hard_brakes': hard_brakes,\n",
-    "    'trip_distance': trip_distance\n",
-    "})\n",
-    "X = pd.concat([X, shift_dummies, speeding_dummies, weather_dummies, road_dummies, weekday_dummies], axis=1)\n",
-    "\n",
-    "# Betas reduziert, damit die Zielvariable nicht zu häufig 1 ist\n",
     "betas = np.array([\n",
+    "    -2,        # konstante\n",
     "    0.015,     # avg_speed\n",
-    "    0.1,      # hard_brakes\n",
-    "    0.,     # trip_distance\n",
-    "    0.05, 0.075,            # shift_dummies\n",
-    "    0.05, 0.075,            # speeding_dummies\n",
-    "    0., 0.,            # weather_dummies\n",
-    "    0., 0.,            # road_dummies\n",
-    "    0., 0.             # weekday_dummies\n",
+    "    0.1,       # hard_brakes\n",
+    "    0.,        # trip_distance\n",
+    "    -0.3,      # shift_frueh (erklärend)\n",
+    "    -0.3,      # shift_normal (erklärend)\n",
+    "    0.5,      # shift_spaet (erklärend)\n",
+    "    -0.3,      # speeding_selten (erklärend)\n",
+    "    -0.3,      # speeding_manchmal (erklärend)\n",
+    "    0.5,      # speeding_haeufig (erklärend)\n",
+    "    0.,        # weather_nass\n",
+    "    0.,        # weather_trocken\n",
+    "    0.,        # weather_winterlich\n",
+    "    0.,        # road_Außerorts\n",
+    "    0.,        # road_Autobahn\n",
+    "    0.,        # road_Innerorts\n",
+    "    0.,        # weekday_Mo-Fr\n",
+    "    0.,        # weekday_Sa\n",
+    "    0.         # weekday_So\n",
     "])\n",
     "\n",
     "# Sicherstellen, dass die Dimension passt\n",
@@ -572,8 +785,8 @@
     "X_model = X_model.astype(float)\n",
     "rauschen = np.random.normal(0, 0.2, size=N)\n",
     "\n",
-    "# Linearkombination + Rauschen + Offset (damit die Zielvariable nicht zu häufig 1 ist)\n",
-    "lin_comb = X_model.values @ betas + rauschen - 2\n",
+    "# Linearkombination + Rauschen (offset is now in betas)\n",
+    "lin_comb = X_model.values @ betas + rauschen\n",
     "\n",
     "# Logistische Funktion → Wahrscheinlichkeiten\n",
     "pi = 1 / (1 + np.exp(-lin_comb))\n",
@@ -583,7 +796,7 @@
     "\n",
     "# Visualisierung der Verteilung der Zielvariable\n",
     "plt.figure(figsize=(10, 6))\n",
-    "sns.countplot(x=target, palette='viridis')\n",
+    "sns.countplot(x=target, palette='viridis', hue=0.6)\n",
     "plt.title('Verteilung der Zielvariable (Diebstahl: ja/nein)')\n",
     "plt.xlabel('Diebstahl')\n",
     "plt.ylabel('Anzahl')\n",
@@ -619,14 +832,16 @@
     "\n",
     "Die Beta-Gewichte wurden bewusst so gewählt, dass sie realistische Zusammenhänge zwischen den Merkmalen und dem Auftreten eines möglichen Diebstahls modellieren, ohne die Zielvariable künstlich zu verzerren. Das Ziel war ein realistischer, aber nicht übermäßig häufiger positiver Klassenanteil.\n",
     "\n",
-    "- **`avg_speed (0.015)`**: Ein leicht positiver Zusammenhang, da ungewöhnliche Geschwindigkeit (insbesondere zu hohe) auf atypisches Fahrverhalten hindeuten kann.\n",
-    "- **`hard_brakes (0.1)`**: Ein höherer Beta-Wert, da aggressive Bremsmanöver oft stark mit ungewohnten Fahrstilen korrelieren.\n",
-    "- **`trip_distance (0)`**: Kein Einfluss, da die reine Strecke keine Aussagekraft hat.\n",
-    "- **`shift_behavior` (0.05, 0.075)**: Personen, die spät schalten, zeigen eher sportliches oder ineffizientes Verhalten – potenziell abweichend vom üblichen Fahrerprofil.\n",
-    "- **`speeding` (0.05, 0.075)**: Häufige Geschwindigkeitsüberschreitungen deuten ebenfalls auf untypisches Fahrverhalten hin.\n",
-    "- **`weather` (0, 0)**: Wetterbedingungen spielen keine Rolle.\n",
-    "- **`road_type` (0, 0)**: Verschiedene Straßentypen implizieren ebenfalls kein Fahrerprofil\n",
-    "- **`weekday` (0, 0)**: Ebenfalls unbedeutend für den Fahrstil.\n",
+    "- **Konstante (-2):** Sorgt für eine niedrige Grundwahrscheinlichkeit für Diebstahl, wenn keine auffälligen Merkmale vorliegen. Dadurch bleibt die Zielvariable realistisch balanciert.\n",
+    "- **avg_speed (0.015):** Ein leicht positiver Zusammenhang, da eine ungewöhnlich hohe Durchschnittsgeschwindigkeit auf einen anderen Fahrstil und damit auf einen möglichen Fahrerwechsel hindeuten kann.\n",
+    "- **hard_brakes (0.1):** Ein deutlicher positiver Effekt, da häufige harte Bremsmanöver ein Indiz für einen ungewohnten oder riskanten Fahrstil sind, der auf einen Fahrerwechsel hindeuten kann.\n",
+    "- **trip_distance (0):** Kein Einfluss, da die reine Fahrstrecke keine Aussage über den Fahrerwechsel zulässt.\n",
+    "- **shift_frueh (-0.3), shift_normal (-0.3), shift_spaet (0.5):** Das Schaltverhalten ist ein starker Prädiktor für den Fahrer. Besonders „spät“ schalten wird mit einem hohen positiven Beta gewichtet, da es einen aggressiveren Fahrstil beschreibt. „Früh“ und „normal“ schalten erhalten einen negativen Einfluss, da sie auf einen defensiveren oder gewohnten Fahrstil hindeuten.\n",
+    "- **speeding_selten (-0.3), speeding_manchmal (-0.3), speeding_haeufig (0.5):** Die Häufigkeit von Geschwindigkeitsüberschreitungen ist ein wichtiger Indikator für den Fahrstil. Besonders „häufig“ zu schnell fahren (0.5) ist ein starkes Signal für einen Fahrerwechsel, da dies ein sehr auffälliges Verhalten ist. „Selten“ und „manchmal“ werden negativ gewichtet, da sie auf einen defensiveren Fahrstil hindeuten.\n",
+    "- **weather_nass, weather_trocken, weather_winterlich (je 0):** Wetterbedingungen haben keinen Einfluss auf die Wahrscheinlichkeit eines Fahrerwechsels, da sie unabhängig vom Fahrer sind.\n",
+    "- **road_Außerorts, road_Autobahn, road_Innerorts (je 0):** Der Straßentyp ist nicht prädiktiv für einen Fahrerwechsel, da er nicht vom Fahrverhalten abhängt.\n",
+    "- **weekday_Mo-Fr, weekday_Sa, weekday_So (je 0):** Der Wochentag hat keinen Einfluss auf die Wahrscheinlichkeit eines Fahrerwechsels.\n",
+    "\n",
     "\n",
     "Alle Beta-Werte wurden bewusst reduziert (unterhalb von 0.1), um eine Übergewichtung einzelner Faktoren zu vermeiden und die Zielvariable `Diebstahl` in einem nahe zu realistischen Bereich zu halten. Eine stärkere Gewichtung hätte zu einer zu häufigen Klassifikation als Diebstahl geführt.\n",
     "\n",
@@ -654,7 +869,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 171,
    "id": "706ff5c6",
    "metadata": {},
    "outputs": [],
@@ -677,7 +892,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 172,
    "id": "9f12d325",
    "metadata": {},
    "outputs": [
@@ -685,10 +900,10 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Form der Stichprobe: (20000, 18)\n",
+      "Form der Stichprobe: (20000, 19)\n",
       "Anteil Zielvariable (Diebstahl):\n",
-      "0    0.7289\n",
-      "1    0.2711\n",
+      "0    0.77085\n",
+      "1    0.22915\n",
       "Name: proportion, dtype: float64\n"
      ]
     },
@@ -713,6 +928,7 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
+       "      <th>const</th>\n",
        "      <th>avg_speed</th>\n",
        "      <th>hard_brakes</th>\n",
        "      <th>trip_distance</th>\n",
@@ -736,294 +952,237 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>count</th>\n",
+       "      <td>20000.0</td>\n",
+       "      <td>20000.000000</td>\n",
+       "      <td>20000.000000</td>\n",
+       "      <td>20000.000000</td>\n",
+       "      <td>20000.000000</td>\n",
+       "      <td>20000.000000</td>\n",
+       "      <td>20000.000000</td>\n",
+       "      <td>20000.000000</td>\n",
+       "      <td>20000.000000</td>\n",
+       "      <td>20000.000000</td>\n",
+       "      <td>20000.000000</td>\n",
+       "      <td>20000.000000</td>\n",
+       "      <td>20000.000000</td>\n",
+       "      <td>20000.000000</td>\n",
+       "      <td>20000.000000</td>\n",
+       "      <td>20000.000000</td>\n",
        "      <td>20000.000000</td>\n",
        "      <td>20000.000000</td>\n",
        "      <td>20000.000000</td>\n",
-       "      <td>20000</td>\n",
-       "      <td>20000</td>\n",
-       "      <td>20000</td>\n",
-       "      <td>20000</td>\n",
-       "      <td>20000</td>\n",
-       "      <td>20000</td>\n",
-       "      <td>20000</td>\n",
-       "      <td>20000</td>\n",
-       "      <td>20000</td>\n",
-       "      <td>20000</td>\n",
-       "      <td>20000</td>\n",
-       "      <td>20000</td>\n",
-       "      <td>20000</td>\n",
-       "      <td>20000</td>\n",
-       "      <td>20000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>unique</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>top</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>False</td>\n",
-       "      <td>False</td>\n",
-       "      <td>False</td>\n",
-       "      <td>False</td>\n",
-       "      <td>False</td>\n",
-       "      <td>False</td>\n",
-       "      <td>False</td>\n",
-       "      <td>True</td>\n",
-       "      <td>False</td>\n",
-       "      <td>False</td>\n",
-       "      <td>False</td>\n",
-       "      <td>False</td>\n",
-       "      <td>True</td>\n",
-       "      <td>False</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>freq</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>12065</td>\n",
-       "      <td>11898</td>\n",
-       "      <td>16037</td>\n",
-       "      <td>12691</td>\n",
-       "      <td>13434</td>\n",
-       "      <td>13875</td>\n",
-       "      <td>16038</td>\n",
-       "      <td>15060</td>\n",
-       "      <td>19022</td>\n",
-       "      <td>13217</td>\n",
-       "      <td>13305</td>\n",
-       "      <td>13478</td>\n",
-       "      <td>13992</td>\n",
-       "      <td>17041</td>\n",
-       "      <td>16951</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mean</th>\n",
+       "      <td>1.0</td>\n",
        "      <td>46.955431</td>\n",
        "      <td>1.987300</td>\n",
        "      <td>15.300650</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>0.396750</td>\n",
+       "      <td>0.405100</td>\n",
+       "      <td>0.198150</td>\n",
+       "      <td>0.365450</td>\n",
+       "      <td>0.328300</td>\n",
+       "      <td>0.306250</td>\n",
+       "      <td>0.198100</td>\n",
+       "      <td>0.753000</td>\n",
+       "      <td>0.048900</td>\n",
+       "      <td>0.339150</td>\n",
+       "      <td>0.334750</td>\n",
+       "      <td>0.326100</td>\n",
+       "      <td>0.699600</td>\n",
+       "      <td>0.147950</td>\n",
+       "      <td>0.152450</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>std</th>\n",
+       "      <td>0.0</td>\n",
        "      <td>9.983939</td>\n",
        "      <td>1.406321</td>\n",
        "      <td>12.277946</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>0.489236</td>\n",
+       "      <td>0.490924</td>\n",
+       "      <td>0.398616</td>\n",
+       "      <td>0.481568</td>\n",
+       "      <td>0.469606</td>\n",
+       "      <td>0.460946</td>\n",
+       "      <td>0.398578</td>\n",
+       "      <td>0.431278</td>\n",
+       "      <td>0.215664</td>\n",
+       "      <td>0.473433</td>\n",
+       "      <td>0.471915</td>\n",
+       "      <td>0.468796</td>\n",
+       "      <td>0.458443</td>\n",
+       "      <td>0.355059</td>\n",
+       "      <td>0.359466</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>min</th>\n",
+       "      <td>1.0</td>\n",
        "      <td>10.000000</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>0.764512</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>25%</th>\n",
+       "      <td>1.0</td>\n",
        "      <td>40.210704</td>\n",
        "      <td>1.000000</td>\n",
        "      <td>7.442576</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50%</th>\n",
+       "      <td>1.0</td>\n",
        "      <td>46.933676</td>\n",
        "      <td>2.000000</td>\n",
        "      <td>11.922107</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>75%</th>\n",
+       "      <td>1.0</td>\n",
        "      <td>53.726714</td>\n",
        "      <td>3.000000</td>\n",
        "      <td>19.153933</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>max</th>\n",
+       "      <td>1.0</td>\n",
        "      <td>81.665638</td>\n",
        "      <td>10.000000</td>\n",
        "      <td>171.637620</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "           avg_speed   hard_brakes  trip_distance shift_frueh shift_normal  \\\n",
-       "count   20000.000000  20000.000000   20000.000000       20000        20000   \n",
-       "unique           NaN           NaN            NaN           2            2   \n",
-       "top              NaN           NaN            NaN       False        False   \n",
-       "freq             NaN           NaN            NaN       12065        11898   \n",
-       "mean       46.955431      1.987300      15.300650         NaN          NaN   \n",
-       "std         9.983939      1.406321      12.277946         NaN          NaN   \n",
-       "min        10.000000      0.000000       0.764512         NaN          NaN   \n",
-       "25%        40.210704      1.000000       7.442576         NaN          NaN   \n",
-       "50%        46.933676      2.000000      11.922107         NaN          NaN   \n",
-       "75%        53.726714      3.000000      19.153933         NaN          NaN   \n",
-       "max        81.665638     10.000000     171.637620         NaN          NaN   \n",
+       "         const     avg_speed   hard_brakes  trip_distance   shift_frueh  \\\n",
+       "count  20000.0  20000.000000  20000.000000   20000.000000  20000.000000   \n",
+       "mean       1.0     46.955431      1.987300      15.300650      0.396750   \n",
+       "std        0.0      9.983939      1.406321      12.277946      0.489236   \n",
+       "min        1.0     10.000000      0.000000       0.764512      0.000000   \n",
+       "25%        1.0     40.210704      1.000000       7.442576      0.000000   \n",
+       "50%        1.0     46.933676      2.000000      11.922107      0.000000   \n",
+       "75%        1.0     53.726714      3.000000      19.153933      1.000000   \n",
+       "max        1.0     81.665638     10.000000     171.637620      1.000000   \n",
        "\n",
-       "       shift_spaet speeding_haeufig speeding_manchmal speeding_selten  \\\n",
-       "count        20000            20000             20000           20000   \n",
-       "unique           2                2                 2               2   \n",
-       "top          False            False             False           False   \n",
-       "freq         16037            12691             13434           13875   \n",
-       "mean           NaN              NaN               NaN             NaN   \n",
-       "std            NaN              NaN               NaN             NaN   \n",
-       "min            NaN              NaN               NaN             NaN   \n",
-       "25%            NaN              NaN               NaN             NaN   \n",
-       "50%            NaN              NaN               NaN             NaN   \n",
-       "75%            NaN              NaN               NaN             NaN   \n",
-       "max            NaN              NaN               NaN             NaN   \n",
+       "       shift_normal   shift_spaet  speeding_haeufig  speeding_manchmal  \\\n",
+       "count  20000.000000  20000.000000      20000.000000       20000.000000   \n",
+       "mean       0.405100      0.198150          0.365450           0.328300   \n",
+       "std        0.490924      0.398616          0.481568           0.469606   \n",
+       "min        0.000000      0.000000          0.000000           0.000000   \n",
+       "25%        0.000000      0.000000          0.000000           0.000000   \n",
+       "50%        0.000000      0.000000          0.000000           0.000000   \n",
+       "75%        1.000000      0.000000          1.000000           1.000000   \n",
+       "max        1.000000      1.000000          1.000000           1.000000   \n",
        "\n",
-       "       weather_nass weather_trocken weather_winterlich road_Autobahn  \\\n",
-       "count         20000           20000              20000         20000   \n",
-       "unique            2               2                  2             2   \n",
-       "top           False            True              False         False   \n",
-       "freq          16038           15060              19022         13217   \n",
-       "mean            NaN             NaN                NaN           NaN   \n",
-       "std             NaN             NaN                NaN           NaN   \n",
-       "min             NaN             NaN                NaN           NaN   \n",
-       "25%             NaN             NaN                NaN           NaN   \n",
-       "50%             NaN             NaN                NaN           NaN   \n",
-       "75%             NaN             NaN                NaN           NaN   \n",
-       "max             NaN             NaN                NaN           NaN   \n",
+       "       speeding_selten  weather_nass  weather_trocken  weather_winterlich  \\\n",
+       "count     20000.000000  20000.000000     20000.000000        20000.000000   \n",
+       "mean          0.306250      0.198100         0.753000            0.048900   \n",
+       "std           0.460946      0.398578         0.431278            0.215664   \n",
+       "min           0.000000      0.000000         0.000000            0.000000   \n",
+       "25%           0.000000      0.000000         1.000000            0.000000   \n",
+       "50%           0.000000      0.000000         1.000000            0.000000   \n",
+       "75%           1.000000      0.000000         1.000000            0.000000   \n",
+       "max           1.000000      1.000000         1.000000            1.000000   \n",
        "\n",
-       "       road_Außerorts road_Innerorts weekday_Mo-Fr weekday_Sa weekday_So  \n",
-       "count           20000          20000         20000      20000      20000  \n",
-       "unique              2              2             2          2          2  \n",
-       "top             False          False          True      False      False  \n",
-       "freq            13305          13478         13992      17041      16951  \n",
-       "mean              NaN            NaN           NaN        NaN        NaN  \n",
-       "std               NaN            NaN           NaN        NaN        NaN  \n",
-       "min               NaN            NaN           NaN        NaN        NaN  \n",
-       "25%               NaN            NaN           NaN        NaN        NaN  \n",
-       "50%               NaN            NaN           NaN        NaN        NaN  \n",
-       "75%               NaN            NaN           NaN        NaN        NaN  \n",
-       "max               NaN            NaN           NaN        NaN        NaN  "
+       "       road_Autobahn  road_Außerorts  road_Innerorts  weekday_Mo-Fr  \\\n",
+       "count   20000.000000    20000.000000    20000.000000   20000.000000   \n",
+       "mean        0.339150        0.334750        0.326100       0.699600   \n",
+       "std         0.473433        0.471915        0.468796       0.458443   \n",
+       "min         0.000000        0.000000        0.000000       0.000000   \n",
+       "25%         0.000000        0.000000        0.000000       0.000000   \n",
+       "50%         0.000000        0.000000        0.000000       1.000000   \n",
+       "75%         1.000000        1.000000        1.000000       1.000000   \n",
+       "max         1.000000        1.000000        1.000000       1.000000   \n",
+       "\n",
+       "         weekday_Sa    weekday_So  \n",
+       "count  20000.000000  20000.000000  \n",
+       "mean       0.147950      0.152450  \n",
+       "std        0.355059      0.359466  \n",
+       "min        0.000000      0.000000  \n",
+       "25%        0.000000      0.000000  \n",
+       "50%        0.000000      0.000000  \n",
+       "75%        0.000000      0.000000  \n",
+       "max        1.000000      1.000000  "
       ]
      },
-     "execution_count": 9,
+     "execution_count": 172,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1040,7 +1199,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 173,
    "id": "30bfcdde",
    "metadata": {},
    "outputs": [
@@ -1049,26 +1208,7 @@
      "output_type": "stream",
      "text": [
       "Fehlende Werte pro Spalte:\n",
-      "avg_speed             0\n",
-      "hard_brakes           0\n",
-      "trip_distance         0\n",
-      "shift_frueh           0\n",
-      "shift_normal          0\n",
-      "shift_spaet           0\n",
-      "speeding_haeufig      0\n",
-      "speeding_manchmal     0\n",
-      "speeding_selten       0\n",
-      "weather_nass          0\n",
-      "weather_trocken       0\n",
-      "weather_winterlich    0\n",
-      "road_Autobahn         0\n",
-      "road_Außerorts        0\n",
-      "road_Innerorts        0\n",
-      "weekday_Mo-Fr         0\n",
-      "weekday_Sa            0\n",
-      "weekday_So            0\n",
-      "dtype: int64\n",
-      "\n",
+      "const                 0\n",
       "avg_speed             0\n",
       "hard_brakes           0\n",
       "trip_distance         0\n",
@@ -1109,7 +1249,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 174,
    "id": "b71ab517",
    "metadata": {},
    "outputs": [
@@ -1117,8 +1257,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Trainingsdaten: (14000, 18)\n",
-      "Testdaten: (6000, 18)\n"
+      "Trainingsdaten: (14000, 19)\n",
+      "Testdaten: (6000, 19)\n"
      ]
     }
    ],
@@ -1147,13 +1287,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 175,
    "id": "8a320b4c",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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00Vuvd9y4cRQuXJiRI0fy/Plzpk6d+tbLfCMn7SK9Nm3aMG3aNB4+fEjXrl1zLZMQQoj8SzoWhBBC5Irx48djYGDA999/r7q7/9SpU2nevDmNGzfm66+/pmDBgixatIgrV66wYcOGt/qWeMSIEWzbto2GDRsycuRIKleuTFJSEiEhIRw4cICvvvpK6x9vb37G7/PPP6dLly7cv3+fKVOmUKJECW7evKlW1sPDg6NHj7J7925KlChB4cKFcXFxybBMAwMDZsyYQc+ePWnTpg2DBw8mLi6On3/+mZiYGKZNm5bjbRw/fjwPHjygadOm2NvbExMTw9y5czEyMsLLyyvHy9OkefPmFCxYkO7duzN69GhevXrFL7/8kuGyDUiui+3bt/PLL79QvXp1DAwMqFGjRo7XuWzZMtauXcvKlSupVKkSlSpVYujQoYwZM4Z69epRq1YtrfOOGzeOXbt20aRJE8aPH4+pqSkLFy7M8BOjzs7OTJ48me+++47bt2/TsmVLrKysCAsL46+//sLMzEzrzzfqIjv793//+x/r1q2jVatWfPnll9SqVQsjIyMePHjAkSNHaN++PR07dszRer/88kvMzc3x8fHh2bNnzJs3762Oqzdy0i7Sq1evHj4+PvTv35/z58/TsGFDzMzMCA0NVf0k7WefffbWGYUQQuQf0rEghBAi14wbNw4DAwPV8OyNGzfyxx9/MGHCBPr160dSUhKenp7s2rUrw03lcsrMzIwTJ04wbdo0lixZwp07dzAxMcHR0ZFmzZrh7Oysdd7+/fsTHh7Or7/+yooVKyhTpgzffPMNDx48yPDH5ty5c/niiy/43//+p/qJS203n+vRowdmZmZMnTqVbt26YWhoSO3atTly5Ah169bN8TZ+9NFHnD9/njFjxhAREYGlpSU1atTgjz/+oFKlSjleniaurq5s27aNcePG0alTJ2xsbOjRowejRo3i448/Viv75ZdfcvXqVb799ltiY2NRKpUolcocre/y5csMHz6cvn370q9fP9X0mTNnqn5e8+LFi1haWmqc393dnUOHDvHVV1/Rt29frKys6N27N507d8bHx0et7NixY3Fzc2Pu3Lmqn/+0s7OjZs2aDBkyJEe5c4OhoSG7du1i7ty5rFmzhqlTp1KgQAHs7e3x8vLCw8NDp+UOHDgQMzMzevfuzfPnz1m2bNlbZ81Ju9Bk8eLF1K5dm8WLF7No0SKSkpIoWbJklh1HQggh9JNCmdNPBEIIIYQQQgghhBAp5FchhBBCCCGEEEIIoTPpWBBCCCGEEEIIIYTOpGNBCCGEEEIIIYQQOpOOBSGEEEIIIYQQQuhMOhaEEEIIIYQQQgihM+lYEEIIIYQQQgghhM6kY0EIIYQQQgghhBA6K5DXAYR44zcjl7yOkC1OgcfyOkKWDEjK6whZSpJ+zVyjQJnXEbJUQJGQ1xGyJUGZ/98W45IK5nWELBU0iM/rCNmiD8eOEkVeR8iSPtQj6Edd6oMkpX68f+vD+44+tMlK5UrkdQShJ/TjzCCEEEIIIYQQQoh8SToWhBBCCCGEEEIIoTPpWBBCCCGEEEIIIYTOpGNBCCGEEEIIIYQQOpOOBSGEEEIIIYQQQuhMOhaEEEIIIYQQQgihM+lYEEIIIYQQQgghhM6kY0EIIYQQQgghhBA6k44FIYQQQgghhBBC6Ew6FoQQQgghhBBCCKEz6VgQQgghhBBCCCGEzqRjQQghhBBCCCGEEDqTjgUhhBBCCCGEEELoTDoWxDujUCjYuXNnXscQQgghhBBCCPEOFcjrAEJkh3X9GpT5aiAW1dwpVLIY5zt/Ttiuw5nP06AmbjO/wdytPHH/hhPsu4yQJRvVyth1bEGFiV9iWtaRF8EhBI2fTZj/obfKqlQq2bzej4P7d/P82VPKu7jx6WcjcHQqnel8p08dY+Oa5TwK/Re7EiXp0edTPqrbUK3M/j078N++keioKBwcnenvMxQ3d88cZ9y3Zyc7t28iOioSB0dnBvoMxc29stbyVy4HsHLpIu6H3MXa2pYOXf5Hy1btVK+H3LvDhrUrCb51g4jwMAYM+oK2HbrkOFd6+lCX+pBx356dKcuJxMGxNAOy2N9XVfv7jmp/e7dqnyH/hjUr1PLXrtsgx9ne2LvHn+3bthAdFYmjkzOf+nxOJXcPreWvXL7E8qW/EnLvLtY2NnTq3I2PW7fVWPb4sSPMnP4jH9Wuy3fjJ+ucEfSjLpVKJds2LOfw77t4/uwJ5SpUov+Qr3BwKpPpfGdPHWHLuqWEhT6keIlSdOs9mJp1vDSW3bllNZtW/0rLdl3pO2iEzjnl2Mmd/f1fq8eQe3fYuHYlwbeCiAgPo/+gL2jb4ZMc50pPH+ryXWW8euUS/ts2cPvWDaKjIhk97gc+qvN27XLL+pUc+n0Xz549pXwFNz79bBQOWeQ8c+ooG9cuIyz0X4qXKEn33j5qOa9dCWDXtg3cDg4iOiqS//vuR2rVaZjJErXTh89C+nLsCAEyYkHoCUMzU578E8TVL7P3R4GJsz01dy8h6uQFTtbswK3pv1Jp9nfYdWyhKmNZuwpV18/m4Tp/TlRvz8N1/lTbMAfLWtpP2Nmxc+sGdu/YzKdDRjB99mIsrayZPO4rXr54oXWeoMArzJo2Ca8mLfBdsDz532kTuXH9mqrMqeN/sHLpAjp3683MeUup6F6ZHyeMISI8LEf5Th7/gxVLF9KlWy985y3Fzb0yUzJZTtijUH6YMBY398r4zltK5249Wb54PqdPHVOViYuLo7hdSXr388HKyjpHeTKT3+tSHzKeVC2nF77zllHR3YMfJozOYn9/Q0V3D3znLaOThv0dFHgV35T8sxYs05g/J04cO8KyJb/QtVsP5sz/FbdKHkwaP1ZrxkePQpk0/jvcKnkwZ/6vfNK1B0sXL+TPk8czlA0PC2PlssW4VdLeSZFd+lCXALu3rWXvzo30HzyKH2ctx9LKmp/Gj+Dli+da57lx/TLzZoynfuOWTJu3ivqNWzJ3+jhuBV3NUDb4xjX+2O+Po3M5nTOCHDu5tb//i/WY/J5Tgt79fLCU95xcyRj36iXOpcvx6ZAROc6kif+29ezZuYmBQ0YybdZSLK2smfL9yCxzzp4+Ea/G3sycvxKvxt7Mnj6em2nOQ3GvXuFUphwDh4x8q3z68FlIn44dIUA6FnLF/v37qV+/PpaWltjY2NCmTRuCg4MBqFOnDt98841a+YiICIyMjDhy5AgAoaGhtG7dGhMTE0qXLs369etxdnZmzpw52Vr/xIkTcXR0xNjYmJIlSzJ8+HDVa87OzkyZMoUePXpgbm5OyZIlmT9/vtr8sbGx+Pj4UKxYMYoUKUKTJk24dOmSWpndu3dTvXp1ChUqRJkyZZg0aRIJCQmq12/evEnDhg0pVKgQbm5uHDx4MNv1lx0Rvx/nxoQ5PNqZveU6+fyPVyGhXPvqJ55dv839FVu577edMqMGqMqUHtaXx4f+JHjGEp4H3SZ4xhIe/3EG52F9dc6pVCrZ47+Fzt16U7teQxydyzBs1Fji4uI4cUz7SIg9/lvxrFqdTl17Ye/gRKeuvfDwrM4e/y2qMrt3bKZJi1Y0826DvaMzA3yGYWNblN/3+uco464dW2jaohXNvVvj4OjEQJ+h2NgWY//eXRrL/753F7ZFizHQZygOjk40925Nk+Yfs3P7ZlWZ8hVc6TdwCA28mlDAyChHebTRh7rUh4y7Vfu7DfaOTgz0GYaNbTGty0nd38Owd3SiuXcbmjT/GP/tm1KX6b8Vz6o16Ny1J/YOTnTu2hMPz2rs8d+ao2xv+O/YRrMWLWnRshUOjk4MGvw5tkWLsfe33RrL79+7h6LFijFo8Oc4ODrRomUrmjVvyY7tW9TKJSYm4vvzT3Tv1Re7EiV0ypaWPtSlUqlk367NdOjal1p1G+HgVJbPRn7P67hXnDqm/fy5z38zHlVq0uGTPpRycKbDJ32o5FmDvbs2qZV79fIFC3wnMWjYN5iZF9Yp45uccuzkzv7+L9Zj+Qqu9B34GfW9mmIk7zm5krFajdrJo2fq6fbtf/qcv/lvplO3PnxU1wtH5zIMHfUdcXFxnMzkPPTbri1UrlqDjl17U8rBiY5de+PuWZ3f0uSsWqM23XsP4qO6mkdTZZc+fBbSl2NHiDekYyEXPH/+nFGjRnHu3DkOHz6MgYEBHTt2JCkpiZ49e7JhwwaUSqWq/KZNmyhevDheXsknxT59+vDvv/9y9OhRtm3bxpIlSwgPD8/Wurdu3crs2bNZvHgxN2/eZOfOnXh4qH8z9/PPP1O5cmX+/vtvxo4dy8iRI1V/+CuVSlq3bs2jR4/Yu3cvFy5coFq1ajRt2pSoqCgAfv/9d3r16sXw4cO5du0aixcvxs/Pjx9//BGApKQkOnXqhKGhIWfOnOHXX39lzJgxb12vb8OydhUiDp1SmxZx4AQW1d1RFEi+AsiqdhUeHzqpVubxwRNY1amq83rDHoUSEx2FZ7UaqmlGRgWp5O5JUOAVrfPduH4Vz6o11aZVqVaToMDkXvr4+HiCb92gSroyntVqZrrc9FKXU0NtepVqNbiuZTlB169RpZp6+arVahJ8M0itcym35fe61IeMycsJ0riu64EZv4l+k61KtfTla6nt7xvXr2bIVrVaLa3LzCrjrVs3qJq+jVWtzvVAzd/iXg+8RtWq1dXLV6/BrZs31Nrkpg1rsbCwpIX3xznOpSlnfq9LgPCwf4mJjsSjai3VNCOjglR0r8KN65e1znfz+hUqp5kHwLPqR9wMVJ9nxa++VK1RF48q6plzSo6dVG+zv/+r9fgu5Pe6fJcZc1t4WErONOs0MiqIm3uVLHJe0ZCzVo7rKSv68FlIn44dId6Qeyzkgs6dO6s9X758OcWKFePatWt069aNkSNHcvLkSRo0SL5Wbf369fTo0QMDAwOuX7/OoUOHOHfuHDVqJJ+wli1bRvny5bO17pCQEOzs7GjWrBlGRkY4OjpSq5b6h8N69eqpRk1UqFCBU6dOMXv2bJo3b86RI0e4fPky4eHhGBsbAzBz5kx27tzJ1q1b8fHx4ccff+Sbb76hb9/kb/LLlCnDlClTGD16NBMmTODQoUMEBgZy9+5d7O3tAfjpp5/4+GPtH+bj4uKIi4tTmxavTMJIkTt9XcbFbYkLe6w27XV4JAZGRhS0tSLuUQTGdrbEhUWq5wqLxNiuqM7rjYlO7oyxtFQfXmZhaUVEhPYhjzHRUVhaWalNs7SyUi3v6ZNYkpISsUi3XEvL1DLZkbycJCwt063L0oqY6GiN80RHR1FVQ/nExESePInF2tom2+vPifxel/qQUdv+tshkOdHRUVTJYn/HREdhkS6/hVXO6w/gibaMmSxP0/rTZ7x29QoHf9/H3AWLc5xJE32oS4DYlPnStx0LS2sehz/SOl9MTKTGedLm+PP4Qe4GB/HDrOU6ZVNbnxw7qct8i/39X63HdyG/1+W7zJjbYqIjU3JlzJnpeSg6KsvzUG7Qh89C+nTsCPGGjFjIBcHBwfTo0YMyZcpQpEgRSpdOvjFNSEgIRYsWpXnz5qxbtw6AO3fucPr0aXr27AlAUFAQBQoUoFq1aqrllStXDqt0bwDafPLJJ7x8+ZIyZcowaNAgduzYkaFXsk6dOhmeBwYGAnDhwgWePXuGjY0N5ubmqsedO3dUl3NcuHCByZMnq70+aNAgQkNDefHiBYGBgTg6Oqo6FTStM72pU6diYWGh9ticlMtvcGlGiQCgUGScrqlM+mmZOH7kID07t1Q9EhMTUhajSB8GBemnpaf+ulKZcTnpF6tUapiYHQpN68qseLryJNdR1tuUffpQl/qQUeOaNCxIt/2dpkyG/JkvU5eMmS0wQ40rU9vkixcvmDVzGkOHj6KIhYXuobKZMy/r8uTR3+n3SVPV4835P8N6szrI04dKyfpmOZERYaxaOocvvppAwYLG2QuXhhw7acq8xf6Wesw9+lCX7zujrk4cOUCvLi1Uj9TzUPqYWZ+HNLeV3NzzaitLv6o8/yyU1Trzw7EjhDYyYiEXtG3bFgcHB5YuXUrJkiVJSkrC3d2d169fA9CzZ0++/PJL5s+fz/r166lUqRKensl3AlZq+SNW2/T0HBwcCAoK4uDBgxw6dIjPP/+cn3/+mWPHjmV67dSbE09SUhIlSpTg6NGjGcpYWlqqykyaNIlOnTplKFOoUCGNWbN6Exg7diyjRo1Sm/aHdXUtpXMuLuxxhpEHBYtakxQfz+vImOQyjx5jbGerVsa4mHWGkQ6ZqflRPcq7VFQ9j4+PByA6OhKrND3DsTExGb4tSMvSKmOPfGxMNBYpPc+Fi1hgYGCYsUxsdIbe7MwkL8dA43IstCzHysqa6AzZYjA0NKRwkSLZXndW9KEu9SFjWm/2d4b9FxuT4VuhN6w0Znuzvy205n8So32ZmSmiLWNMjNZtTV6/+rdKsbGpbTLk3l3Cwx4xZdI41etvzlMd2rTgl6V+lChRMkc582tdVq9Vn3IVKqmex8cnv+/EREdiZZ16fnsSG53pMi0tbVSjHVJzpLbJ27eu8yQmmm9HpN6nJikpketXAziwZxtrth/FwNBQ6/Ll2Mmd/S31mHsdhfpQl+8r49uq8VF9yrm4qZ4npOSMiY5SOw/FxsZkGG2RMaf6SNLMPp/oKj9/FkqfMT8eO0JoIyMW3lJkZCSBgYGMGzeOpk2bUrFiRaLTfeDt0KEDr169Yv/+/axfv55evXqpXnN1dSUhIYGLFy+qpt26dYuYmJhsZzAxMaFdu3bMmzePo0ePcvr0aS5fTr0u9syZM2rlz5w5g6urKwDVqlXj0aNHFChQgHLlyqk9bG1tVWWCgoIyvF6uXDkMDAxwc3MjJCSEf//9V7WO06dPZ5rZ2NiYIkWKqD1y6zIIgJgzAdg2ras2rWjz+sReuIIypSc9+kwAtk3rqZWxbVaf6NMXyS4TU1NKlLRXPRwcnbG0suafi+dVZeLj47l65RIuFd21LqeCayUuBZxXm3bp4jlcKib/wWBkZETZchW4dFG9zD8Xz2e63PS0LefSxQu4almOi6sbly5eUJsWcPE8Zcu7UKBA7vVN6kNd6kPGtJKX46Jhf5/HtWIljfNUcK2kofw5tf2tKX/AxXNal5lVxnLlKhCQoY1dwLWim8Z5XCu6ZSh/8e/zlCtfgQIFCmDv4Mj8RUuZu2Cx6lHrozp4VK7C3AWLsbXN+eVO+bUuTUzNsCtpr3rYO5bG0sqGywHnVGUS4uMJvBJABVftv4xR3tVdbR6Afy7+RfmKyfO4e9ZgxoI1TJvnp3qUKedKPa8WTJvnl2mnQnJOOXa05c/Z/pZ6zC36UJfvK+PbSp/TXpUz9ZwSHx/PtSsBWeR0V9u21JzZb3PZkZ8/C6lnzJ/HjhDaSMfCW7KyssLGxoYlS5Zw69Yt/vjjjwzfxJuZmdG+fXu+//57AgMD6dGjh+o1V1dXmjVrho+PD3/99RcXL17Ex8cHExOTbA398vPzY/ny5Vy5coXbt2+zZs0aTExMcHJyUpU5deoUM2bM4MaNGyxcuJAtW7bw5ZdfAtCsWTPq1KlDhw4d+P3337l79y5//vkn48aN4/z55JPT+PHjWb16NRMnTuTq1asEBgayadMmxo0bp1qGi4sLffr04dKlS5w4cYLvvvvures2LUMzU4p4ulLEM7lDxLS0PUU8XSnkkHynd5cfRuG5crqq/L0lGzFxKknFn7/B3LUM9v0649C/M7dnrVCVubtgNbbN61Hm60GYuZShzNeDsG1ah7vzV+mcU6FQ0Kb9J2zbvI6zfx4n5O5tFsyeirGxMQ28mqnKzfP9kbV+S1TPW7frwqW/z7Njy3oe3L/Hji3r+SfgAm3ap/62cNuOXTl84DcOH/iNByF3WblkAY8jwmmR5jeUs6Ndx084dGAvhw7s5X7IPVYsWcjjiDC8W7UFYI3fUub6/qQq792qHRHhYaxYupD7Ifc4dGAvhw/spUOnrqoy8fHx3Am+xZ3gWyQkJBAZ+Zg7wbcI/fdhjuvwDX2oS33I2LbjJynL2cuDkHusWLKAxxFhquWs9VuicX+vXLqQByH3OJyyv9t36qYq06ZdZwL+Psf2lPzbVfl1+73u9h07c/D3fRw8sI/7IfdYtmQRERHhfJzSJletXMbsmdNU5Vu2akN4eDjLl/zC/ZB7HDywj0MH9tOxU3L9FSxYECfn0moPM3Pz5HOjc2md74StD3WpUCj4uF1X/Les5tzpY9y/F8wvc36goHEh6nk1V5VbNGsyG1b9onr+cbuu/HPxL3ZtXcPD+3fZtXUNVy6do1W75KwmpmY4OJVVexgXMsG8iAUOTmV1yinHTu7s7/9iPSa/59zkTvBNEhISiIp8zJ3gm4T++yDHdfiGPtTlu8z48uULVZ0ChD8K5U7wTZ1+ElOhUNC6fVe2b1mryrlwzk8YGxtTP815aL7vD6zz+1U958Vz7Ny6jof377Fz6zouB5yndfqct29y53ZKzrBQ7tzOeU59+CykL8eOEG9I99VbMjAwYOPGjQwfPhx3d3dcXFyYN28ejRo1UivXs2dPWrduTcOGDXF0dFR7bfXq1QwcOJCGDRtiZ2fH1KlTuXr1KoUKFcpy/ZaWlkybNo1Ro0aRmJiIh4cHu3fvxsYmdYjcV199xYULF5g0aRKFCxfG19cXb29vIPnkv3fvXr777jsGDBhAREQEdnZ2NGzYkOLFiwPg7e3Nnj17mDx5MjNmzMDIyAhXV1c+/fRTVR3s2LGDgQMHUqtWLZydnZk3bx4tW7Z8m6pVY1HdnTqH16ieu838FoD7q7fzz8CxGJcoiolD6s/Jvbz7gHNtfXDzHYvTZz2J+zecqyN/5NGOA6oy0acvcrHnKFwmjcBl0nBeBN/nYo+RxPz1z1tl7dClO69fx7Fk0WyeP3tGeZeKjJ8yExNTU1WZxxHhKNKM0HB1c2fUmPGsX7OcjWuXU9yuJKPGTKSCa+o3tvUaNuHpk1i2bFhNdFQkjk6l+XbSdIoVs8tRvvoNm/D0yRM2b1hNdFQUjk7OjJs0TbWc6KhIIiJSf5WkuF0Jxk2aysqli9i3xx9rGxsGDh5GnXqpP/UUHRXJqOGDVM/9t2/Cf/smKnl48sO0OTnKl1Z+r0t9yJi6v1el7O/SfJdmOdFRkTxOc9Ov5P09jRVLF7Jvz06N+/tN/g1rlrNx7QqK25XkqzET1PLnRAOvxjx9+oRN69cSFRWFk7Mz4yf9RLGUc1B0dJRam7SzK8GEyT+ybMkv/LZnF9Y2Ngwa/AV167/9z6RlRh/qEqBt5168fh3Hil9m8vzZU8pWcOPbybMxMTVTlXkcEabWJitU9GD46ElsXrOEzeuWUtyuFMNHT6GcS+58o6mJHDu5s7//i/UYHfWYr7S850yZNjdH+dLK73X5LjMG3wxiwtgRqud+yxYC0KhpS4aNGpvjnO079+B1XBzLfvHl+bNnlHOpyLjJs9LlDENhkPolmktFD0aMnsDGtcvYuHYZdnalGDlmEuXTnIdu3wxi4repP6u+atkCALyatmToyOx/qaUPn4X06dgRAkChzO7F/OK9efDgAQ4ODhw6dIimTZu+1bKcnZ0ZMWIEI0aMyJ1w79BvRi55HSFbnAKP5XWELBmQlNcRspQkA6ZyjYL8fxovoNCPn7pKUOb//va4pIJ5HSFLBQ3i8zpCtujDsaPUg9uu6UM9gn7UpT5IUurH+7c+vO/oQ5usVK5E1oWEQEYs5At//PEHz549w8PDg9DQUEaPHo2zszMNG77bb9+EEEIIIYQQQoi3pR9djh+4+Ph4vv32WypVqkTHjh0pWrQoR48excjIiHXr1qn9zGPaR6VK726IqhBCCCGEEEIIkR1yKUQ+9/TpU8LCNN+QxsjISO0mjfpOLoXIPXIpxH+LPgxD1ochqSCXQuQWuRQi9+jDUGl9qEfQj7rUB3IpRO7RhzYpl0KI7Mr/n6D+4woXLkzhwoXzOoYQQgghhBBCCKGRfnQ5CiGEEEIIIYQQIl+SjgUhhBBCCCGEEELoTDoWhBBCCCGEEEIIoTPpWBBCCCGEEEIIIYTOpGNBCCGEEEIIIYQQOpOOBSGEEEIIIYQQQuhMOhaEEEIIIYQQQgihM+lYEEIIIYQQQgghhM6kY0EIIYQQQgghhBA6k44FIYQQQgghhBBC6Ew6FoQQQgghhBBCCKGzAnkdQIg3nAKP5XWEbLlX0SuvI2TJOfBoXkfIkgJlXkfIFiWKvI6QJX3IGK80yusI2aIP7bKgQXxeR8iSPtQj6MexI3KPPuxvQxLzOkKWFAo5vnNLknzHKz4g0pqFEEIIIYQQQgihM+lYEEIIIYQQQgghhM6kY0EIIYQQQgghhBA6k44FIYQQQgghhBBC6Ew6FoQQQgghhBBCCKEz6VgQQgghhBBCCCGEzqRjQQghhBBCCCGEEDqTjgUhhBBCCCGEEELoTDoWhBBCCCGEEEIIoTPpWBBCCCGEEEIIIYTOpGNBCCGEEEIIIYQQOpOOBSGEEEIIIYQQQuhMOhaEEEIIIYQQQgihM+lY0KJRo0aMGDHivazL2dmZOXPmZKusQqFg586d7yTH+9xmIYQQQgghhBAfhgJ5HUCInFAqlWxe78fB/bt5/uwp5V3c+PSzETg6lc50vtOnjrFxzXIehf6LXYmS9OjzKR/VbahWZv+eHfhv30h0VBQOjs709xmKm7tntrNZ169Bma8GYlHNnUIli3G+8+eE7Tqc+TwNauI28xvM3coT9284wb7LCFmyUa2MXccWVJj4JaZlHXkRHELQ+NmE+R/Kdi5N9u3ZmbKtkTg4lmaAz1Dc3CtrLX/1cgArly7ifsgdrK1t6dDlf3i3aq9W5vSpY2xYs0KtjmvXbfBBZ4T83Sb1KaO+5NSHdin1KMd3fsuoX/t7JYdS6rKcixuDPhuJQxZ1eebUUbW67N5nkFpdXrsSgP+2jdy+FUR0VCSjx/1IrTq6Zd23Zyc7t29KqUtnBmZRl1dUdXlXVZctW7VTvR5y7w4b1q4k+NYNIsLDGDDoC9p26KJTtrQZ9WF/53bOkHt32Lh2JcG3gogID6P/oC9o2+GTt8qoD21SiDdkxMJ7kpiYSFJSUp6sOz4+Pk/W+y7s3LqB3Ts28+mQEUyfvRhLK2smj/uKly9eaJ0nKPAKs6ZNwqtJC3wXLE/+d9pEbly/pipz6vgfrFy6gM7dejNz3lIqulfmxwljiAgPy3Y2QzNTnvwTxNUvJ2ervImzPTV3LyHq5AVO1uzArem/Umn2d9h1bKEqY1m7ClXXz+bhOn9OVG/Pw3X+VNswB8ta2t/4snJSta298J23jIruHvwwYbTWbQ17FMoPE76horsHvvOW0albT5Yvns/pU8dUZYICr+KbUsezFizTWMcfWsY38nOb1KeM+pBTX9ql1KMc3/kpo37t7/Xs2bGZgUNGMG32kpS6HJWtumzYxBvfBSto2MSbWdMmqGV59eoVzqXLMnDIiLfKd/L4H6xYupAu3XrhO28pbu6VmZLJPkmuy7G4uVfGd95SOmuoy7i4OIrblaR3Px+srKzfKt+bjPqwv99FzuS6LEHvfj5Y5kJdQv5vk0KkJR0LmUhKSmL06NFYW1tjZ2fHxIkTVa/NmjULDw8PzMzMcHBw4PPPP+fZs2eq1/38/LC0tGTPnj24ublhbGzMvXv3CA8Pp23btpiYmFC6dGnWrVuX41yhoaF8/PHHqmVs2bJF9drdu3dRKBRs3ryZRo0aUahQIdauXUtkZCTdu3fH3t4eU1NTPDw82LBhQ6br2b9/PxYWFqxevRqAhw8f0q1bN6ysrLCxsaF9+/bcvXtXVf7o0aPUqlULMzMzLC0tqVevHvfu3cvx9mmjVCrZ47+Fzt16U7teQxydyzBs1Fji4uI4cUz7N/h7/LfiWbU6nbr2wt7BiU5de+HhWZ09/qn1tnvHZpq0aEUz7zbYOzozwGcYNrZF+X2vf7bzRfx+nBsT5vBo58FslXfy+R+vQkK59tVPPLt+m/srtnLfbztlRg1QlSk9rC+PD/1J8IwlPA+6TfCMJTz+4wzOw/pmO1d6u3dsoWmLVjT3boO9oxMDfYZhY1tM67b+vncXtkWLMdBnGPaOTjT3bkOT5h/jv31T6jL9t+JZtQadu/bE3sGJzl174uFZjT3+Wz/YjJD/26S+ZNSXnPrQLqUe5fjObxn1aX//5r+FTt16U7ueV0pdfptSl9rf13/z30LlqjXo1LUXpdLU5W9p6rJajdp07zOI2vW8dM4HsEtVl61xcHRioM9QbGyLsX/vLo3lU+tyKA6OTjT3bk2T5h+zc/tmVZnyFVzpN3AIDbyaUMDI6K3ygf7s73eRs3wFV/oO/Iz6Xk0xyoW61Ic2KURa0rGQiVWrVmFmZsbZs2eZMWMGkydP5uDB5APZwMCAefPmceXKFVatWsUff/zB6NGj1eZ/8eIFU6dOZdmyZVy9epVixYrRr18/7t69yx9//MHWrVtZtGgR4eHhOcr1/fff07lzZy5dukSvXr3o3r07gYGBamXGjBnD8OHDCQwMxNvbm1evXlG9enX27NnDlStX8PHxoXfv3pw9e1bjOjZu3EjXrl1ZvXo1ffr04cWLFzRu3Bhzc3OOHz/OyZMnMTc3p2XLlrx+/ZqEhAQ6dOiAl5cX//zzD6dPn8bHxweFQpGjbctM2KNQYqKj8KxWQzXNyKggldw9CQq8onW+G9ev4lm1ptq0KtVqEhR4FUge0RF86wZV0pXxrFYz0+W+LcvaVYg4dEptWsSBE1hUd0dRIPkqJavaVXh86KRamccHT2BVp6pO60ze1iCN9XE9pT7Su3H9KlWqpS9fi+CbQSQkJKSWSbfMqtVqaV2mvmd8Qx/apD5k1Iec+tIupR5TyfGd9xn1aX+Hq+oydblGRgVx06EuPavVyvXPD6n7pIba9CrVanBdy7qCrl+jSjX18lWr1VSry9zPmP/397vKmdvye5sUIj3pWMhE5cqVmTBhAuXLl6dPnz7UqFGDw4eTr5kfMWIEjRs3pnTp0jRp0oQpU6awefNmtfnj4+NZtGgRdevWxcXFhYcPH7Jv3z6WLVtGnTp1qF69OsuXL+fly5c5yvXJJ5/w6aefUqFCBaZMmUKNGjWYP3++WpkRI0bQqVMnSpcuTcmSJSlVqhRff/01VapUoUyZMgwbNgxvb2+10Q5vLFq0iCFDhuDv70/79snXjm3cuBEDAwOWLVuGh4cHFStWZOXKlYSEhHD06FGePHlCbGwsbdq0oWzZslSsWJG+ffvi6OiYo23LTEx0FACWlurDyywsrYhOeU3bfJZWVmrTLK2sVMt7+iSWpKRELNIt19Iytcy7YFzclriwx2rTXodHYmBkREHb5LzGdrbEhUWqlYkLi8TYrqhO60ze1iQsLdXrwyKTbY2OjsIiXXlLSysSExN58iQWSK5ji3R1bGGlW/3pQ8Y39KFN6kNGfcipL+1S6jHNMuX4zvOM+rS/o6MjU9aVfputM11uVnWZW7TVZfI+idY4T3R0lMbyaevyfWTMb/v7XeXMbfm9TYrcc/z4cdq2bUvJkiWzfaP+Y8eOUb16dQoVKkSZMmX49ddfM5TZtm2bauS8m5sbO3bseAfpU8nNGzNRubL6dewlSpRQjS44cuQIP/30E9euXePJkyckJCTw6tUrnj9/jpmZGQAFCxZUW0ZgYCAFChSgRo3U3mNXV1csLS1zlKtOnToZngcEBKhNS7sOSL7Hw7Rp09i0aRMPHz4kLi6OuLg4VdY3tm3bRlhYGCdPnqRWrVqq6RcuXODWrVsULlxYrfyrV68IDg6mRYsW9OvXD29vb5o3b06zZs3o2rUrJUqU0LgNb9af1uu4OAoaG6ueHz9ykMULfFXPv504DUDDKAglCrIaGaH+ulKZcTnpF6tUapiY25RK9edv1pd2uqYy6aflUIY6VCoz3dT05ZUkrz/t1PT7QJnFMvUxoz60SX3IqE85M6wpn7VLqcc0ZeT4zhcZNa4pX+7vAyxJU5djJ05PWXe6qNmoS81Z3tHnh/R1o8x8l2ivy3f3+SY/7u/srDc3cr4NvW2T4q09f/4cT09P+vfvT+fOnbMsf+fOHVq1asWgQYNYu3Ytp06d4vPPP6do0aKq+U+fPk23bt2YMmUKHTt2ZMeOHXTt2pWTJ0/y0UcfvZPtkI6FTKS/PkqhUJCUlMS9e/do1aoVQ4YMYcqUKVhbW3Py5EkGDhyodqNEExMTtYNYmfLH4Ls4sNMvM32Hga+vL7Nnz2bOnDmqe0OMGDGC169fq5WrUqUKf//9NytXrqRmzZqq5SYlJVG9enWN94QoWjT52/OVK1cyfPhw9u/fz6ZNmxg3bhwHDx6kdu3aGeaZOnUqkyZNUpv22bCv+Hz416rnNT+qR3mXiqrnb+o2OjoSK2sb1fTYmJgMPbNpWVpl7NmNjYlW9TwXLmKBgYFhxjKx0Rl6s3NTXNjjDCMPCha1Jik+nteRMcllHj3G2M5WrYxxMesMIx2yK3lbDTJ8kxUbG5Phm6k3rDTWXwyGhoYULmIBaK7jJzHal6mvGfWhTepDRn3K+UZ+bZdSj3J857eMaeXv/V2f8i5uqucJqrqMwso69X03NiY6w7flaVlaWWfcvpiYDN9uv603dalpn2hbl5WWbMl1WSRX86XNmB/39/vI+bb0rU2K3PPxxx/z8ccfZ7v8r7/+iqOjI3PmzAGgYsWKnD9/npkzZ6o6FubMmUPz5s0ZO3YsAGPHjuXYsWPMmTMny/vs6UouhdDB+fPnSUhIwNfXl9q1a1OhQgX+/fffLOerWLEiCQkJnD9/XjUtKCiImJiYHK3/zJkzGZ67urpmOs+JEydo3749vXr1wtPTkzJlynDz5s0M5cqWLcuRI0fw9/dn2LBhqunVqlXj5s2bFCtWjHLlyqk9LCxST6hVq1Zl7Nix/Pnnn7i7u7N+/XqNecaOHUtsbKza49PBw9TKmJiaUqKkverh4OiMpZU1/1xMrb/4+HiuXrmES0V3rdtewbUSlwLOq027dPEcLhUrAckdSGXLVeDSRfUy/1w8n+ly31bMmQBsm9ZVm1a0eX1iL1xBmXK9XvSZAGyb1lMrY9usPtGnL+q0zuRtdcmwrZcunsc1pT7Sq+BaSUP5c5Qt70KBlHtBaKrjgIvntC5TXzPqQ5vUh4z6lPON/NoupR7l+M5vGdPSp/1tr6Uur2WjLv8JOJchb25/ftC2Ty5dvICrlnW5uLpx6eIFtWkBF8+r1WXuZ8yf+/t95Hxb+tYmRebi4uJ48uSJ2iP9aG1dnT59mhYtWqhN8/b25vz586oOZ21l/vzzz1zJoIl0LOigbNmyJCQkMH/+fG7fvs2aNWs0XteSnouLCy1btmTQoEGcPXuWCxcu8Omnn2JiYpKj9W/ZsoUVK1Zw48YNJkyYwF9//cXQoUMznadcuXIcPHiQP//8k8DAQAYPHsyjR480lq1QoQJHjhxh27ZtjBgxAoCePXtia2tL+/btOXHiBHfu3OHYsWN8+eWXPHjwgDt37jB27FhOnz7NvXv3OHDgADdu3KBixYoa12FsbEyRIkXUHmkvg9BEoVDQpv0nbNu8jrN/Hifk7m0WzJ6KsbExDbyaqcrN8/2RtX5LVM9bt+vCpb/Ps2PLeh7cv8eOLev5J+ACbdqn/rZw245dOXzgNw4f+I0HIXdZuWQBjyPCaZHmt56zYmhmShFPV4p4JnfymJa2p4inK4Ucki8HcflhFJ4rp6vK31uyEROnklT8+RvMXctg368zDv07c3vWClWZuwtWY9u8HmW+HoSZSxnKfD0I26Z1uDt/VbZzpde24ycp27qXByH3WLFkAY8jwlTbutZvCXN9f1KV927VjojwMFYuXciDkHscPrCXwwf20r5TN1WZNu06E/D3Oban1PF2VR3r9lvY+pAR8n+b1JeM+pJTH9ql1KMc3/ktoz7t79btP2H75rWqulyoqsvmqnLzfH9knd9i1fNWqrpcx8P799ixZR2XA87TOk1dvnz5gjvBN7kTnPyFTtijUO4E38zxT3e26/gJhw7s5dCBvdwPuceKJQt5HBGGd6u2AKzxW6qxLlcsXcj9kHscSqnLDp26qsrEx8dzJ/gWd4JvkZCQQGTkY+4E3yL034c5q8AU+rK/30XO5LpM3s8JCQlERT7mTvBNQv99oFNGfWiT+d1vRi559pg6dSoWFhZqj6lTp+bKdj169IjixYurTStevDgJCQk8fvw40zLa/v7LDXIphA6qVKnCrFmzmD59OmPHjqVhw4ZMnTqVPn36ZDnvypUr+fTTT/Hy8qJ48eL88MMPfP/99zla/6RJk9i4cSOff/45dnZ2rFu3Djc3t0zn+f7777lz5w7e3t6Ympri4+NDhw4diI2N1VjexcWFP/74g0aNGmFoaIivry/Hjx9nzJgxdOrUiadPn1KqVCmaNm1KkSJFePnyJdevX2fVqlVERkZSokQJhg4dyuDBg3O0bVnp0KU7r1/HsWTRbJ4/e0Z5l4qMnzITE1NTVZnHEeEoFKl9Zq5u7owaM571a5azce1yituVZNSYiVRwTa2zeg2b8PRJLFs2rCY6KhJHp9J8O2k6xYrZZTubRXV36hxeo3ruNvNbAO6v3s4/A8diXKIoJg6p95x4efcB59r64OY7FqfPehL3bzhXR/7Iox0HVGWiT1/kYs9RuEwagcuk4bwIvs/FHiOJ+eufnFVcGvUbNuHpkyds3rCK6KgoHJ1K812abY2OiuRxROobS3G7EoybNI0VSxeyb89OrG1sGDh4GHXS/ETRmzresGY5G9euoLhdSb4aM0Gtjj+0jG/k5zapTxn1Iae+tEupRzm+81NG/drfPXj9Oo6li2ap6vL7Kb7p6jIMgzSXn7q6eTByzAQ2rFnGppS6HJmuLoNvBjFx7Jeq56uWLQCgUdOWDB31bbbzpdbl6pS6dGbcpGlqdRkRkfpLY8l1OZWVSxexb4+/xrqMjopk1PBBquf+2zfhv30TlTw8+WHanGxny5gxf+/vd5EzOuoxX2mpyynT5uqUM7+3SaHd2LFjGTVqlNo04yy+RM2JDPf80HDJvaYy7/JeGwql8i3vAidELrly6931oOWmexXz/2/+OgcezesIHwzlO7zBlch/FOT/t0R9aJP6UI+gH3WpD/RlfyfpwUBdQxLzOkKW5LjJPfrQJj3KFc+6UD611zTzS8XfpVYvrus0n0KhYMeOHXTo0EFrmYYNG1K1alXmzk3tsHpzc8YXL15gZGSEo6MjI0eOZOTIkaoyb+63d+/ePZ2yZSX/t2YhhBBCCCGEEEJQp04dDh48qDbtwIED1KhRQ/XjA9rK1K2rfn+33CSXQuQj69at03rpgJOTE1evXn3PiYQQQgghhBBC/xgU0I/RNc+ePePWrVuq53fu3CEgIABra2scHR0ZO3YsDx8+ZPXq1QAMGTKEBQsWMGrUKAYNGsTp06dZvny52q89fPnllzRs2JDp06fTvn17/P39OXToECdPnnxn2yEdC/lIu3bttP6uaPqfvhRCCCGEEEIIod/Onz9P48aNVc/f3Juhb9+++Pn5ERoaSkhIiOr10qVLs3fvXkaOHMnChQspWbIk8+bNU/3UJEDdunXZuHEj48aN4/vvv6ds2bJs2rRJ69+auUHusSDyDbnHQu6ReyzkHrmW9L9FH64V14c2qQ/1CPpRl/pAX/a3PlzPLvdY+G/Rhzapz/dY2F9E86/TvQ8tnwTm2brzioxYEEIIIYQQQgjxQVEY5f+Omw+J1LYQQgghhBBCCCF0JiMWhBBCCCGEEEJ8UPTl5o0fChmxIIQQQgghhBBCCJ1Jx4IQQgghhBBCCCF0JpdCCCGEEEIIIYT4oCiM5FKI90lGLAghhBBCCCGEEEJnMmJBCCGEEEIIIcQHRW7e+H7JiAUhhBBCCCGEEELoTEYsCCGEEEIIIYT4oMg9Ft4vGbEghBBCCCGEEEIIncmIBZFvGJCU1xGyxTnwaF5HyNLdio3yOkKWHK6dyOsI2WJkEJ/XEbKUqDTM6wgfjCQ96G/Xh3OlEv34lkiBMq8jZEnaZO5RKvN/u1Qq8n9GfWiToB/tUh8yCpFd0rEghBBCCCGEEOKDIjdvfL/0o8tRCCGEEEIIIYQQ+ZKMWBBCCCGEEEII8UFRGMqIhfdJRiwIIYQQQgghhBBCZ9KxIIQQQgghhBBCCJ3JpRBCCCGEEEIIIT4oBnIpxHslIxaEEEIIIYQQQgihMxmxIIQQQgghhBDig6IwkBEL75OMWBBCCCGEEEIIIYTOpGNBCCGEEEIIIYQQOpNLIYQQQgghhBBCfFAUhvId+vsktS2EEEIIIYQQQgidyYgFIYQQQgghhBAfFPm5yfdLRiwIIYQQQgghhBBCZ9KxkAMTJ06kSpUq73QdjRo1YsSIEarnzs7OzJkz552uUwghhBBCCCE+JAoDRZ49/ovkUgiS/5ivUqVKln/Af/311wwbNuz9hEpx7tw5zMzMslXW2dmZESNGqHVMfEj27dnJzu2biI6KxMHRmYE+Q3Fzr6y1/JXLAaxcuoj7IXextralQ5f/0bJVO9XrIffusGHtSoJv3SAiPIwBg76gbYcuuZLTf/vGlJylGZBFzquqnHdUOb1btVcrc/rUMTasWcGj0H+xK1GSHn0+pXbdBjrls65fgzJfDcSimjuFShbjfOfPCdt1OPN5GtTEbeY3mLuVJ+7fcIJ9lxGyZKNaGbuOLagw8UtMyzryIjiEoPGzCfM/pFPGN5RKJVvWr+TQ77t49uwp5Su48elno3BwKp3pfGdOHWXj2mWEhf5L8RIl6d7bh4/qNlS9vmPzGs6ePs7DB/coWNAYl4ru9Oz3GaXsHXOcce8ef3ZuS2mXTs4M9PmCSpm2y0usWLqI+/fuYm1jS8fO3WjZOrVdHti/hyOHDxJy7w4AZctVoFffgVRwqZjjbG8olUo2r/fj4P7dPH/2lPIubnz62Qgcs6jH06eOsXHNcrV2l7Yer165hP+2Ddy+dYPoqEhGj/uBj+ro1i7fZU6A/Xt2pByXUTg4OtPfZyhu7p46ZlzJoZSM5VzcGPTZyOy1yTQZu/cZpJbx2pUA/Ldt5PatoJS6/JFaOtZlbp+DQu7dYePalQTfCiIiPIz+g76gbYdPdMqWlj7sb32oS31pk/rw/q0P7zn60CZBf9plfq9LfcgoxBsyYiEblEolCQkJmJubY2Nj817XXbRoUUxNTd/rOvOjk8f/YMXShXTp1gvfeUtxc6/MlAljiAgP01g+7FEoP0wYi5t7ZXznLaVzt54sXzyf06eOqcrExcVR3K4kvfv5YGVlnWs5Vy5dQOduvfCdt4yK7h78MGF0Fjm/oaK7B77zltFJQ86gwKv4TpuEV5MWzFqwDK8mLfCdNpEb16/plNHQzJQn/wRx9cvJ2Spv4mxPzd1LiDp5gZM1O3Br+q9Umv0ddh1bqMpY1q5C1fWzebjOnxPV2/NwnT/VNszBspb2N7/s8N+2nj07NzFwyEimzVqKpZU1U74fycsXL7TOExR4hdnTJ+LV2JuZ81fi1dib2dPHczPoqqrM1SsBeLfuyE8zF/P9lNkkJibyw/ejePXqZY7ynTx2hBVLFvJJt57Mmr8Et0oeTBn/Tab7e8r4sbhV8mDW/CV06dqDZYsX8OfJ46oyV/65RAOvJkyZOovpvgsoWrQYE8eNJvJxRI6ypbVz6wZ279jMp0NGMH32YiytrJk87qss63FWSrvzXbBcY7uLe/US59Ll+HTICJ2zvY+cp1THZW9mzltKRffK/JjJ+SPzjOvZs2MzA4eMYNrsJSkZR2UrY8Mm3vguWEHDJt7MmjZBLeOrV69wLl2WgW9Zl+/iHJR8rixB734+WObSuRLy//7Wl7rUhzapD+/foAfvOXrSJkE/2mV+r0t9yChEWv/5joV+/fpx7Ngx5s6di0KhQKFQ4Ofnh0Kh4Pfff6dGjRoYGxtz4sSJDJdC9OvXjw4dOjBp0iSKFStGkSJFGDx4MK9fv87Wup8/f06fPn0wNzenRIkS+Pr6ZiiT/lKIiRMn4ujoiLGxMSVLlmT48OFA8qiLe/fuMXLkSNV2AERGRtK9e3fs7e0xNTXFw8ODDRs2qK2jUaNGDB8+nNGjR2NtbY2dnR0TJ05UKxMTE4OPjw/FixenUKFCuLu7s2fPHtXrf/75Jw0bNsTExAQHBweGDx/O8+fPs1UP2bFrxxaatmhFc+/WODg6MdBnKDa2xdi/d5fG8r/v3YVt0WIM9BmKg6MTzb1b06T5x+zcvllVpnwFV/oNHEIDryYUMDLKlZy7VTnbYO/oxECfYdjYFuP3vf5Z5ByGvaMTzb3b0KT5x/hv35S6TP+teFatQeeuPbF3cKJz1554eFZjj/9WnTJG/H6cGxPm8GjnwWyVd/L5H69CQrn21U88u36b+yu2ct9vO2VGDVCVKT2sL48P/UnwjCU8D7pN8IwlPP7jDM7D+uqUEZI79H7z30ynbn34qK4Xjs5lGDrqO+Li4jh5THv233ZtoXLVGnTs2ptSDk507Nobd8/q/Oa/RVVm3GRfGjdrhYNTaZzLlOPzEWN5HBHG7VtBOcrov2MLzVp8TPOWye3y08FDsS1ajP2/aW6X+/fupmixYnw6OKVdtmxN0+Yf45+mXY4a/R2t2rSnTNly2Ds48vnwr1AmKfnn0sUcZXtDqVSyx38Lnbv1pna9hjg6l2HYqLHExcVx4pj2ESV7/LfiWbU6nbr2wt7BiU5de+HhWZ09aeqxWo3ayaNn6jXUupz8kHP3js00adGKZt5tsHd0ZoDPMGxsi2o9LjPL+Jv/Fjp1603tel4pGb9NyZhJm/RPbpOduvaiVJqMv6Wry+59BlG7nleOMqX3Ls5B5Su40nfgZ9T3aopRLp0r9WF/60Nd6kOb1Jf3b314z9GHNgn60S71oS71IWN+Z2CoyLPHf9F/vmNh7ty51KlTh0GDBhEaGkpoaCgODg4AjB49mqlTpxIYGEjlypq/eT18+DCBgYEcOXKEDRs2sGPHDiZNmpStdf/f//0fR44cYceOHRw4cICjR49y4cIFreW3bt3K7NmzWbx4MTdv3mTnzp14eHgAsH37duzt7Zk8ebJqOyC5Z7d69ers2bOHK1eu4OPjQ+/evTl79qzasletWoWZmRlnz55lxowZTJ48mYMHk0/+SUlJfPzxx/z555+sXbuWa9euMW3aNAwNDQG4fPky3t7edOrUiX/++YdNmzZx8uRJhg4dmq16yEp8fDzBt25QpWoNtelVqtXgeuAVjfMEXb9GlWrq5atWq0nwzSASEhJyJZfmnEF4Vq2ZLmdNrgde1TjPjetXqVItfflaajlvXL9KlXTLrFqtltZl5jbL2lWIOHRKbVrEgRNYVHdHUSD5aiqr2lV4fOikWpnHB09gVaeqzusNDwslJjpKrT6NjAri5l6FIC37HeDG9Ssa9kGtTOd5kdIJZm5eJNv5VO0yXTurUrWG1n0TFHg1QzuuWr0GtzJpl6/j4khMTMDcvHC2s6UV9iilHtPkNDIqSCV3zyzq8arGthz0jtrdu8qZev5QL+NZrWamy9UkXJUxfZvMeUbPLNqkLt7VOehdyO/7W1/qUj/aZP5//wZ9ec/J/20S9KVd5u+61IeMQqT3n7/HgoWFBQULFsTU1BQ7OzsArl+/DsDkyZNp3rx5pvMXLFiQFStWYGpqSqVKlZg8eTL/93//x5QpUzAw0N5v8+zZM5YvX87q1atV61i1ahX29vZa5wkJCcHOzo5mzZphZGSEo6MjtWrVAsDa2hpDQ0MKFy6s2g6AUqVK8fXXX6ueDxs2jP3797NlyxY++ugj1fTKlSszYcIEAMqXL8+CBQs4fPgwzZs359ChQ/z1118EBgZSoUIFAMqUKaOa9+eff6ZHjx6qezuUL1+eefPm4eXlxS+//EKhQoUybEtcXBxxcXFq017HxVHQ2DhD2adPYklKSsLS0kptuqWlFTHR0RrrKjo6iqoayicmJvLkSSzW1rl/SYu2nBaWVsRER2nNWSWLnDHRUVhYpVumlfZl5jbj4rbEhT1Wm/Y6PBIDIyMK2loR9ygCYztb4sIi1crEhUVibFdU5/XGRCcvz8JSfaiehaUVj8MfZTJflIZ5rLXWl1KpZNWyBbi6VcbRuYzGMppo3d9WVkRrWVdMdHSGfZlVu1y9cinWNrZ4Vq2e7Wzq64xKWU/GeoyI0D40PCY6Csv0Wd9hu3tXOZP3U2KGNmGZyXGpTXRKm0yf0dLSmoiIzNvk+6jLd3UOehfy+/7Wl7rU1zaZ396/QY/fc/JZm0xer362y/xUl/qQUR8o/qMjB/LKf37EQmZq1KiRZRlPT0+1eyDUqVOHZ8+ecf/+/UznCw4O5vXr19SpU0c1zdraGhcXF63zfPLJJ7x8+ZIyZcowaNAgduzYkWUPZGJiIj/++COVK1fGxsYGc3NzDhw4QEhIiFq59CMySpQoQXh4OAABAQHY29urOhXSu3DhAn5+fpibm6se3t7eJCUlcefOHY3zTJ06FQsLC7XH0sULMt0WFOonB6Uyw6R0xdOVR5k8nXd7kkm/XpRKHXOmKUP6bc98mblOqVR//mblaadrKpN+WiZOHDlAry4tVI83bTvDdma149G2DzTPs/zX2YTcDWbE6AnZzppuZdleF2jal5qnA2zfspETx/7gm3GTKFiwYLbiHD9ykJ6dW6oeiYlv6jFDRWbjWNB0zOVOw3vfOTXspizb0fEjB+jV2Vv1SExM1LysbGTUfAy/m4P4XZyD3pY+7G+Na8pndamvbTI/vn/r63tOfmuToL/tMj/WZVbrzI8ZhXjjPz9iITPZ/TUGTbI6CSpz8AfXGw4ODgQFBXHw4EEOHTrE559/zs8//8yxY8e0Xifl6+vL7NmzmTNnDh4eHpiZmTFixIgM94FIP79CoSApKQkAExOTTHMlJSUxePBg1f0e0nJ01HzH47FjxzJq1Ci1abfvR2osW7iIBQYGBhl6aGNjo7FI1zP7hpWVdYZvjWNjYpJHdRTJ/tDDnHiTM8N6Y2MyfJuRNmeG7VLltADAUkOZJzHal5nb4sIeZxh5ULCoNUnx8byOjEku8+gxxna2amWMi1lnGOmQmRof1aeci5vqeUJ8PJD8DYaVdeqyY2NjMnwLklZyfam3JW1tZfmvszl/9hSTps3HxrZYtrNCJu0yJibDNwyp2TJ+0xAbG62xXe7ctomtm9cx+ceZOJcum+1cNT+qR/k0vyARn1KP0dGRWKX5tiI2JibDN0PqWTW1Te3HXE69r5zJ+8lQY71r20+pGetTXkObjE7fJmMyjkRJn1HT+Si36vKNd3UOyg36sL/Tyq91qa9tMj++f+vre05+a5Ogv+0yP9alPmUUIj0ZsUDy5Qxveldz6tKlS7x8mXpX3zNnzmBubp7pJQ0A5cqVw8jIiDNnzqimRUdHc+PGjUznMzExoV27dsybN4+jR49y+vRpLl++rHU7Tpw4Qfv27enVqxeenp6UKVOGmzdv5mgbK1euzIMHD7Rmq1atGlevXqVcuXIZHtq+ZTU2NqZIkSJqD02XQUByp0fZchW4dPG82vRLFy/gWtFd4zwurm5cuqh+v4qAi+cpW96FAgXeTX9ack4XDTnP41qxksZ5KrhW0lD+nFrOCq6VuBSgXibg4jmty8xtMWcCsG1aV21a0eb1ib1wBWXKNzzRZwKwbVpPrYxts/pEn87+DQdNTE0pUdJe9bB3dMbSypp/Lp5TlYmPj+falQBctOx3gAqu7vyjoU7TzqNUKln2y2zO/nmcCT/OobhdyWznfONNuwzI0M4uaN03LhUrZSz/93nKpWuXO7ZuZPOGtUyYMp1yFbSPYtIkfT06qOoxtU7i4+O5euVSFvWYsd0l12PutLv3lVPb+eOfi+czXa6mjPZaMl7LRsZ/As6pTUvfJnPDuzoH5QZ92N9p5de61M82mT/fv/XzPSf/tUnQ13aZP+tSnzLqA4WBQZ49/ov+m1udjrOzM2fPnuXu3bs8fvxY9U19drx+/ZqBAwdy7do19u3bx4QJExg6dGim91cAMDc3Z+DAgfzf//0fhw8f5sqVK/Tr1y/T+fz8/Fi+fDlXrlzh9u3brFmzBhMTE5ycnFTbcfz4cR4+fMjjx8nfFJcrV46DBw/y559/EhgYyODBg3n0SPv1bZp4eXnRsGFDOnfuzMGDB7lz5w779u1j//79AIwZM4bTp0/zxRdfEBAQwM2bN9m1axfDhg3L0Xoy067jJxw6sJdDB/ZyP+QeK5Ys5HFEGN6t2gKwxm8pc31/UpX3btWOiPAwVixdyP2Qexw6sJfDB/bSoVNXVZn4+HjuBN/iTvAtEhISiIx8zJ3gW4T++1DnnG07fsLhA79x+MBeHoTcY8WSBTyOCKNFyu9vr/VbojHnyqULeRByj8MpOdt36qYq06ZdZwL+Psf2Let5cP8e27es55+AC7Rpr9tvdhuamVLE05Uinq4AmJa2p4inK4UcSgDg8sMoPFdOV5W/t2QjJk4lqfjzN5i7lsG+X2cc+nfm9qwVqjJ3F6zGtnk9ynw9CDOXMpT5ehC2Tetwd/4qnTJC8qiZ1u27sn3LWs7+eZyQu7dZOOcnjI2Nqe+Veu+T+b4/sM7vV9Xz1u26cOniOXZuXcfD+/fYuXUdlwPO07p96u80L/tlFieOHuDL/xtPIVNToqMjiY6OzHDfj6y07/gJh37fy6ED+7gfco/l6dvlyqXMmTlVVb5lq7bJ7XLJopR2uY9DB/bRPk273L5lI+tWr2ToiP+jWDE7oqOiiI6KUuvAzAmFQkGb9p+wbfM6VT0umD0VY2NjGng1U5Wb5/sja/2WqJ63bteFS3+fZ0dKu9uhanep9fjy5QvuBN/kTnByZ2X4o1DuBN/U6Wcc32XOth27phyXv/Eg5C4rlyzgcUS46rjMScbW7T9h++Y0bVKVMbVNzvP9kXV+i1XPW6kyJrfJHVsytsn0dRmmY12+i3NQ8rkyOVtCQgJRkY+5E3yT0H8f5ChbWvqwv/WhLvWhTerL+7c+vOfoQ5sE/WiX+lCX+pBRiLT+m91X6Xz99df07dsXNzc3Xr58ycqVK7M9b9OmTSlfvjwNGzYkLi6O//3vfxl+qlGbn3/+mWfPntGuXTsKFy7MV199RWxsrNbylpaWTJs2jVGjRpGYmIiHhwe7d+/GxiZ5GOnkyZMZPHgwZcuWJS4uDqVSyffff8+dO3fw9vbG1NQUHx8fOnTokOl6NNm2bRtff/013bt35/nz55QrV45p06YBySMajh07xnfffUeDBg1QKpWULVuWbt26ZbHU7KvfsAlPnzxh84bVREdF4ejkzLhJ0yhWLPlGldFRkUREhKvKF7crwbhJU1m5dBH79vhjbWPDwMHDqJPm54mioyIZNXyQ6rn/9k34b99EJQ9Pfpg25y1zrkrJWZrvJk1Xy/k4zY3JknNOY8XShezbs1NjTlc3d0aNGc+GNcvZuHYFxe1K8tWYCVRwdcuw/uywqO5OncNrVM/dZn4LwP3V2/ln4FiMSxTFJKWTAeDl3Qeca+uDm+9YnD7rSdy/4Vwd+SOPdhxQlYk+fZGLPUfhMmkELpOG8yL4Phd7jCTmr390yvhG+849eB0Xx7JffHn+7BnlXCoybvIsTNLc1+RxRBgKg9RLj1wqejBi9AQ2rl3GxrXLsLMrxcgxkyjvktrDf2DvTgAmjlW/fOfzEWNp3KxVtvPV92rMk6dP2LQ+pV06O/P9pKkUK568v6OiozK0y+8nT2XFkoXsTWmXnw4eSt36qT/XuO83fxIS4pnx00S1dXXr0YfuvfplO1taHbp05/XrOJYsms3zZ88o71KR8VNmpqvHcBSK1I7NN+1u/ZrlbFy7nOJ2JRk1ZqJauwu+GcSEsSNUz/2WLQSgUdOWDBs1Nt/krNewCU+fxLJlw2qioyJxdCrNt2mOy5xl7MHr13EsXTRLlfH7Kb4Z2qRBmsvhXN08GDlmAhvWLGNTSsaRGupy4tgvVc9XLUu+50yjpi0ZOurbbOd7F+eg6KjHfKXlXDll2txsZ0svv+9vfalL/WmT+fv9G/TgPUdP2iToU7vMv3WpDxnzu7THqnj3FEpdLvYXAPTr14+YmBh27tyZ11E+CNdu/ZvXEbJFqQe3wLlbsVFeR8iSw7UTeR0hW4wM4vM6QpYSlYZ5HeGDoQ/HtwHZH1WXV/ShHgEU5P+PQEl6MLjUEN0uJ33fEpT5//s0Q0X+r0t9aJOgH+dKfVCpXImsC+VTfzetn2frrnb4ZNaFPjD5/wwrhBBCCCGEEELkgIH83OR7pR9djnooJCRE7ecX0z/S/9yjEEIIIYQQQgihj2TEwlvw8/PT+lrJkiUJCAjI9HUhhBBCCCGEEELfScfCO1KgQAHKlSuX1zGEEEIIIYQQ4j9Hbt74fsmlEEIIIYQQQgghhNCZjFgQQgghhBBCCPFBURjId+jvk9S2EEIIIYQQQgghdCYdC0IIIYQQQgghhNCZXAohhBBCCCGEEOKDIjdvfL9kxIIQQgghhBBCCCF0JiMWhBBCCCGEEEJ8UAwMZcTC+yQjFoQQQgghhBBCCKEzGbEghBBCCCGEEOKDIvdYeL9kxIIQQgghhBBCCCF0Jh0LQgghhBBCCCGE0JlcCiHyjSQ96edSoMzrCFlyuHYiryNk6b5bg7yOkC0bRh/J6whZqlqzeF5HyFIL9/C8jpAtBiTldYQs6cM5yFCRmNcRsuVVknFeR8hSAT2oS315/9aHdqkk/w/d1ofzJECi0jCvI2SpgCIhryN80BQG+nFu+lBIbQshhBBCCCGEEEJnMmJBCCGEEEIIIcQHRW7e+H7JiAUhhBBCCCGEEELoTDoWhBBCCCGEEEIIoTO5FEIIIYQQQgghxAdFLoV4v2TEghBCCCGEEEIIIXQmIxaEEEIIIYQQQnxQZMTC+yUjFoQQQgghhBBCCKEzGbEghBBCCCGEEOKDojCQ79DfJ6ltIYQQQgghhBBC6Ew6FoQQQgghhBBCCKEzuRRCCCGEEEIIIcQHxcBQbt74PsmIBSGEEEIIIYQQQuhMOhbesX79+tGhQ4dMyzg7OzNnzhzV80ePHtG8eXPMzMywtLTUab1KpRIfHx+sra1RKBQEBATotJzsatSoESNGjHin6xBCCCGEEEKI7FAYKPLs8V8kl0LkA+fOncPMzEz1fPbs2YSGhhIQEICFhQVHjx6lcePGREdHZ7ujYf/+/fj5+XH06FHKlCmDra3tO0r/fimVSjav9+Pg/t08f/aU8i5ufPrZCBydSmc63+lTx9i4ZjmPQv/FrkRJevT5lI/qNlQrs3/PDvy3byQ6KgoHR2f6+wzFzd0zxxn37dmZspxIHBxLM8BnKG7ulbWWv3o5gJVLF3E/5A7W1rZ06PI/vFu1z5B/w5oVavlr122Q42xvKJVKtqxfyaHfd/Hs2VPKV3Dj089G4ZBFPZ45dZSNa5cRFvovxUuUpHtvH7V63LF5DWdPH+fhg3sULGiMS0V3evb7jFL2jjnKZ12/BmW+GohFNXcKlSzG+c6fE7brcObzNKiJ28xvMHcrT9y/4QT7LiNkyUa1MnYdW1Bh4peYlnXkRXAIQeNnE+Z/KEfZNOnUpDCNa5piZmJA8P3X+O2O5WF4QqbzmBZS8EnzItSsVAjTQgZERCewft8TLt2IA2D218UoapXxFH3wzHNW7Y7NUT6lUsmFQwu4fnYzcS+fUMyxMvXaj8farny25r8V8Bt/bPgKJ7emePddqPba1dPr+efYcl48jcCqeDnqtP2WEqVr5Chf2pyb16/kUMrxXc7FjUGfjcxeu0xzfHfvM0itXV67EoD/to3cvhVEdFQko8f9SK06uh0/+nB879uzk53bN6VkdGZgFhmvqDLeVWVs2aqd6vWQe3fYsHYlwbduEBEexoBBX9C2Qxed8wHs3ePPjm2biY6KxNHJmYE+n1Mp04yXWLH0F0Lu3cXaxpaOnbvxceu2qtdPnzrBlk3reRT6kISEREqWKkX7jp/QuGnzt8qpVCrZun4Fh9OcKwd8NgoHpzKZznf21FE2rV1GWOhDipcoxf96D6JWXS/V6wf27uDg3p1EhIUCYO9Yms7d+1G1Rh2dMub390V9yakPx3dOt/Xq5QD8li7kfshdrKxt6NClu8aMWdVxTuhDPUL+/ywE+nE+F+INGbGQDxQtWhRTU1PV8+DgYKpXr0758uUpVqyYTssMDg6mRIkS1K1bFzs7OwoUyPgHyuvXr3XOnFd2bt3A7h2b+XTICKbPXoyllTWTx33FyxcvtM4TFHiFWdMm4dWkBb4Llif/O20iN65fU5U5dfwPVi5dQOduvZk5bykV3Svz44QxRISH5SjfSdVyeuE7bxkV3T34YcJorcsJexTKDxO+oaK7B77zltGpW0+WL57P6VPH0uS/im9K/lkLlmnMn1P+29azZ+cmBg4ZybRZS7G0smbK9yOzrMfZ0yfi1dibmfNX4tXYm9nTx3Mz6KqqzNUrAXi37shPMxfz/ZTZJCYm8sP3o3j16mWO8hmamfLknyCufjk5W+VNnO2puXsJUScvcLJmB25N/5VKs7/DrmMLVRnL2lWoun42D9f5c6J6ex6u86fahjlY1tL+Bp0dbRqY83E9M1btjmX8oghiniXxTX8bChXU3lttaAjf9LehqJUhc9dH839zwlm+M5boJ4mqMuMXPeaLqY9Uj6krHgPw15Wc1SXApWPLuHzCj3odvqfjsC2YmBdl77IBvI57luW8T6Mfcva3Gdhp6CwIvrSX07unUrXJEDoN34Gdcw32rfDhWfS/Oc4IsHPrevbs2MzAISOYNntJyvE9KlvHd8Mm3vguWEHDJt7MmjZB7fh49eoVzqXLMnDICJ1yvaEPx/fJ43+wYulCunTrhe+8pbi5V2ZKJuey5IxjcXOvjO+8pXTWkDEuLo7idiXp3c8HKytrnXKldeLYEZYvWcQn3Xowe/5i3Cp5MHn82EwzTh7/LW6VPJg9fzFdunZn2eIF/HnyuKqMeeHCfPK/nkz3nc/cRUtp2sybebNn8PeFc2+Vdde2dfy2cxP9h4zip1nLsLCy4ccszpU3Aq8wZ/oEGjT2ZsZ8Pxo09mZOunOljU1RevQdwk9zlvHTnGW4e1bj5x/Gcv/e7RxnzO/vi/qSUx+O75xua9ijUH6cMIaK7pWZOW8pnbv1YsXieekyZl3HOaEP9fhGfv8spA/ncyHSko6FXLJ161Y8PDwwMTHBxsaGZs2a8fz5c9XrM2fOpESJEtjY2PDFF18QHx+vei3tpRDOzs5s27aN1atXo1Ao6NevH40bNwbAyspKNS0z/fr1Y9iwYYSEhKBQKHB2dgaSL1cYOnQoo0aNwtbWlubNm3P37t0Ml0rExMSgUCg4evSoatq1a9do1aoV5ubmFC9enN69e/P48WO19SYlJTF69Gisra2xs7Nj4sSJOa7HzCiVSvb4b6Fzt97UrtcQR+cyDBs1lri4OE4c0/6t8x7/rXhWrU6nrr2wd3CiU9deeHhWZ4//FlWZ3Ts206RFK5p5t8He0ZkBPsOwsS3K73v9c5Rx944tNG3RiubebbB3dGKgzzBsbItpXc7ve3dhW7QYA32GYe/oRHPvNjRp/jH+2zelLtN/K55Va9C5a0/sHZzo3LUnHp7V2OO/NUfZ3lAqlfzmv5lO3frwUV0vHJ3LMHTUd8TFxXHy2EGt8/22awuVq9agY9felHJwomPX3rh7Vue3NPU4brIvjZu1wsGpNM5lyvH5iLE8jgjj9q2gHGWM+P04NybM4dFO7XnScvL5H69CQrn21U88u36b+yu2ct9vO2VGDVCVKT2sL48P/UnwjCU8D7pN8IwlPP7jDM7D+uYoW3ot65nhf/QZ56+94kF4Aou3RlPQSEFdTxOt83hVTx7dMHttFDdDXhMZk8iNe68JeZQ6yuHpiyRin6U+qroUIiwygcA7OesQVCqVXD65mqpNhlDavQXWdhVo3G0aCfGvuHVxT6bzJiUl8sfG/6N682EUsbbP8Po/J/xwqdkZ11qfYFW8LHXbfYu5hR3XzmzIUcY3OX/z30Knbr2pXc8r5fj+NuX4zqRd+ie3y05de1EqzfGdtl1Wq1Gb7n0GUbuel9blZIc+HN+7VBlb4+DoxECfodjYFmP/3l1ZZByKg6MTzb1b06T5x+zcvllVpnwFV/oNHEIDryYUMDLSKVda/ju20qzFx7RomZzx08FfYFu0GPt+262x/P69uylarBifDv4CB0cnWrRsTdPmLdUyelSuQp269XFwdKJEiZK07dAZ59JlCLx6ReecSqWSvf5b6JjmXPmF6lx5QOt8e3dt1niu3Oufmrf6R/WpWrMOJUs5UrKUI//rM5hChUy4GZSzP5T04X1RX3Lqw/Gd0209sNcf26LFGOAzDHtHZ5p5t6FJ81bs2p46mi87dZyzjPm/HkE/Pgvpw/k8v1MYGOTZ47/ov7nVuSw0NJTu3bszYMAAAgMDOXr0KJ06dUKpVAJw5MgRgoODOXLkCKtWrcLPzw8/Pz+Nyzp37hwtW7aka9euhIaGMnfuXLZt2wZAUFCQalpm5s6dy+TJk7G3tyc0NJRz51K/sVm1ahUFChTg1KlTLF68ONvb5+XlRZUqVTh//jz79+8nLCyMrl27qpVbtWoVZmZmnD17lhkzZjB58mQOHszeH4bZEfYolJjoKDyrpX5zamRUkErungQFav/weOP6VTyr1lSbVqVaTYICk3uX4+PjCb51gyrpynhWq5npctNLXk6QxnVdD7yqcZ4b169SpVr68rUIvhlEQkJCapl0y6xarZbWZWYlPCylHtMs08ioIG7uVbKoxysatq1WpvO8SOlcMzcvolPW7LKsXYWIQ6fUpkUcOIFFdXcUKaN1rGpX4fGhk2plHh88gVWdqjqvt6iVIZaFDbl865VqWkIiXL8bR3nHglrnq+ZaiFv3X9O3nQULxxZn6vCitPMyR6FlkIOhIdSrYsKxC9q/RdHmadQDXj6NwL58vdTlFShIiTI1Cbt3MdN5/z60EBMza1xrZRwmmZjwmscPr6otF8C+Qr0sl6tJuOr4Tt8uc358e2bRLnWhD8d36rlMfXRJlWo1uK6lPoKuX6NKNfXyVavVVMuYm1QZ062zStXqWrf5euA1qlStrp6xek1u3byhMaNSqeRSwN88fPCASu4eOmcND/uXmOhIKletpZr25lx5I4tzZdp5ADyrfaR1nqTERE4dO0Tcq1dUcK2Uo4z5/X1RX3Lq1/Gd/W0Nun5V7ZyanLFmhoyZ1XHOM+bvenwjv38W0ofzuchdixYtonTp0hQqVIjq1atz4sQJrWX79euHQqHI8KhUKfU9xM/PT2OZV69eaV3u25J7LOSC0NBQEhIS6NSpE05OTgB4eKR+mLGysmLBggUYGhri6upK69atOXz4MIMGDcqwrKJFi2JsbIyJiQl2dnYAWFsnD1UqVqxYtu6xYGFhQeHChTE0NFQt441y5coxY8YM1fO7d+9mubxffvmFatWq8dNPP6mmrVixAgcHB27cuEGFChUAqFy5MhMmTACgfPnyLFiwgMOHD9O8ecZrXOPi4oiLi1Ob9joujoLGxlpzxERHAWBpqT50y8LSiogI7UMeY6KjsLSyUptmaWWlWt7TJ7EkJSVikW65lpapZbIjeTlJWFqqr8sik+VER0dRJV15S0srEhMTefIkFmtrG2Kio7BIl9/CKmfZ0oqJjkzJlbEeH4c/ymS+KA3zWGvNoVQqWbVsAa5ulXF0zvx65LdlXNyWuDD1ETSvwyMxMDKioK0VcY8iMLazJS4sUq1MXFgkxnZFdV6vZeHkvtnYZ0lq02OfJWFraah1vmLWhthaGvPnpRf8vCoKOxtD+razxMAAdh7JeHlCjYrJ92E4/nfOOxZePI0AwKSwjdp0E3ObTC9ZeHT3b4LObaPziJ0aX3/1IhplUiIm5hmX++LpY43zZCY6pV2mP74tLa2JiMi8XWZ2fOcWfTi+tWVMPpdFa81YNYuMuemJtoxWVkRr2WaN+1hDxufPnzGgdzfi4+MxMDBgyBdfZviQnRNv9oGmc2Vmw+yTz5VZt5OQu8GM+3oI8a9fU8jEhK+/+wl7x8yv7daWMb++L+pLTv05vnO2rTHRURq2yZrExESePonFKiVjbp1D9aEe38jvn4X04XyuD/TlJoqbNm1ixIgRLFq0iHr16rF48WI+/vhjrl27hqNjxntzzJ07l2nTpqmeJyQk4OnpySeffKJWrkiRIgQFqY+UKVSo0LvZCKRjIVd4enrStGlTPDw88Pb2pkWLFnTp0gWrlJNgpUqVMDRM/SOjRIkSXL58OU+y1qiR8w9ZFy5c4MiRI5ibm2d4LTg4WK1jIa0SJUoQHh6ucZlTp05l0qRJatM+G/YVnw//WvX8+JGDLF7gq3r+7cTkA0iR4WtdJQqyOnGov65UZlxO+sUqlRomZkOGfEplpotJX15J8kiXtFPTb58yi2WmdeLIARYvnKl6PnbC9JT1piuYXCmZLkvztmmeZ/mvswm5G8yUGQs1vp7rUkYIqbzJlXa6pjLpp2WirqcJA9pbqJ7PXK35g4QCIJPFKhQKnjxPZPnOWJRKuPtvPFZFntK6gbnGjgWvGqZcuhlHzNMkDUtTd/Pibk5sn6B63rL/rymZ0u87tO7v13HPOLLx/2jQeQqFzKw0lkm7LekXm53GefzIAZakOb7HTtTcLpXZOL41Hx/v5sNEfju+taw0fUQdM767D2SazreZ7bOM7TdjRhMTU+YsWMLLly/559LfrFj6C8XtSuBRuUq2Mp04coClC39WPf9mwoxMsma+rAx1qmH7SpZyZMa8lTx//oyzp46ycPaPTJw2P9POBX15X9SXnBnWpAfHd063VVOdayiVYZlvcw7Nj/Wot5+F9OB8Lt7erFmzGDhwIJ9++ikAc+bM4ffff+eXX35h6tSpGcpbWFhgYZH6eXTnzp1ER0fTv39/tXIKhSLDl8zvknQs5AJDQ0MOHjzIn3/+yYEDB5g/fz7fffcdZ8+eBcAo3TVMCoWCpKSs/0B4F9L++gSAQco1QMo0f1ylvf8DJN87oW3btkyfPj3D8kqUKKH6f062c+zYsYwaNUpt2q376j2wNT+qR3mXihlyRUdHYpWm1zU2JiZDb3tallYZe5JjY6JV3ygVLmKBgYFhxjKx0Rl6ijOTvByDDN+6xcbGZOjdfsNKY7YYDA0NKVzEQmv+JzHal5lejY/qU87FTfU8IaUeY6KjsLJO/bWQ2NiYDN8mpZWcQ/0b/9jY6AzfzEHyG+n5s6eYNG0+Nra63YA0J+LCHmcYeVCwqDVJ8fG8joxJLvPoMcZ26r+OYlzMOsNIh8z8HfiK4Pup9zgoUCD5jdrC3EDtj/4i5gYZRjGkFfM0kcRE9T6NhxEJWBY2xNAQElPv4YiNpSHuZY2Zs17zNxTpObk1pphDaidfYkJy3hdPH2NaJHVfvHwemWG0wRtPIu/zNPohv6/6TDVNqUzenqVjK9Ht632YWdihMDDMMDrh1bNITLUsN62aH9WnvIZ2GZ2+XcZEZ/imKi1LK+uMx1xMjMZ2+Tby6/GtKaOmc5m2+rDSUn/JGXP/EqYiqnpUb8+xMdrPt5r2cUxsxowGBgaUKFkKgDJly3E/JIStmzdku2OhRro2GR+ffOykP1c+iY3OdP9o3Kca9kEBIyPsSibfu6RseVeCbwayd9cWfIaO1rpsfXlf1Jecb+jP8Z2zbdV8fozOMmPaOs55xvxZj/r2WUgfzuf6IC9HLGganW1sbIxxutHZr1+/5sKFC3zzzTdq01u0aMGff/6ZrXUtX76cZs2aqUbOv/Hs2TOcnJxITEykSpUqTJkyhapVq+qwNdkj91jIJQqFgnr16jFp0iQuXrxIwYIF2bFjR64su2DB5Gu1E9P+tZFLihZN/mMsNDRUNS3tjRwBqlWrxtWrV3F2dqZcuXJqj/QdFdllbGxMkSJF1B7pL4MwMTWlREl71cPB0RlLK2v+uXheVSY+Pp6rVy7hUtFd67oquFbiUsB5tWmXLp7DpWLydUhGRkaULVeBSxfVy/xz8Xymy00veTkuGZZz6eJ5XCtqvm62gmslDeXPUba8i+qXPDTlD7h4Tusy00tfj/aqeky990Z8fDzXrgRkUY/uanX/JmvaeZRKJct+mc3ZP48z4cc5FLcrma2MbyvmTAC2TeuqTSvavD6xF66gTLmuMPpMALZN1e8HYNusPtGns38/gFevlYRFJaoeD8MTiHmaiHu51GFlhobg6mzMzRDtN1m8ee81xW0M1b51KGFTgOgniaQ/zL2qmfLkeRIBQdm7Jq6gsTkWtk6qh1XxcpgULsqDm6lvTokJrwm9fY7iTprfXCyLlqHLyF10/nKH6uFUsQkly3xE5y93YGZhh2GBgtiWqsTDm+pveg9u/ql1uWlpb5fqx/e1bBzf/wSo3/k/fbvMDfn1+M6YMeO57NLFC7hqqQ8XVzcuXbyQbv3n1TLmptSM6dd5Qes2u1Z0IyB9+b/PU658hSwyKlV/PGSHiakpdiXtVQ97x9JYWtmonSsTUs6VFbI8V6q3yX8u/pXpPClxs8yrL++L+pLzDX0+vjPbVhfXShnetwOykTFtHec8Y/6sR337LKQP53ORualTp6pGFrx5aBp98PjxYxITEylevLja9OLFi/PokfbLct4IDQ1l3759qtEOb7i6uuLn58euXbvYsGEDhQoVol69ety8efPtNiwT0rGQC86ePctPP/3E+fPnCQkJYfv27URERFCxYsWsZ84GJycnFAoFe/bsISIigmfPsv6JuOwyMTGhdu3aTJs2jWvXrnH8+HHGjRunVuaLL74gKiqK7t2789dff3H79m0OHDjAgAED3klnhzYKhYI27T9h2+Z1nP3zOCF3b7Ng9lSMjY1p4NVMVW6e74+s9Vuiet66XRcu/X2eHVvW8+D+PXZsWc8/ARdo0z71OqS2Hbty+MBvHD7wGw9C7rJyyQIeR4TTIs1v/2ZH246fpCxnLw9C7rFiyQIeR4SplrPWbwlzfVPvVeHdqh0R4WGsXLqQByH3OHxgL4cP7KV9p26qMm3adSbg73NsT8m/XZVft98dVigUtG7fle1b1qrqceGcnzA2Nqa+V+r9MOb7/sA6v19Vz1u368Kli+fYuXUdD+/fY+fWdVwOOE/rNPW47JdZnDh6gC//bzyFTE2Jjo4kOjoyQ49tVgzNTCni6UoRT1cATEvbU8TTlUIOySNkXH4YhefK1BE095ZsxMSpJBV//gZz1zLY9+uMQ//O3J61QlXm7oLV2DavR5mvB2HmUoYyXw/Ctmkd7s5flbMKTGf/qee08zKnhlsh7IsVYHBnS17HK/nzUurPSg3uYknXFoVVzw/99RxzUwN6ty6CnY0hVVyMadfInINnn6stW6GAhtVMOPH3C3Qd5KRQKPCo34eAI4u5c+UgUY9ucHTLWAoYFaJc1Taqckc2jeGvfclDlwsYGWNtV0HtYWxSGCNjM6ztKmBYILmzs3KDflw/t5Xr57YRHRbMn7un8iwmlIq1/6dTztbtP2H75jTtUnV8p7bLeb4/ss4v9cazrVTHd3K73LElY7t8+fIFd4Jvcic4+c007FEod4Jv5vjn6PTh+G7X8RMOHdjLoQN7uR9yjxVLFvI4IgzvVm0BWOO3VGPGFUsXcj/kHodSMnbolHpz3vj4eO4E3+JO8C0SEhKIjHzMneBbhP77UKeM7Tt24eDvezl0YB/3Q+6xbMkiHkeE0zIl4+qVy5g9M/Xa0Zat2hIRHs7yJYtSMu7j0IF9ahm3blpPwN/neRT6Lw/uh+C/fQtHDh/Eq3FTnTJCcpts1f4Tdm5Zw19/HiPk7m0Wzfkx5VyZ+lO2C3ynsD7NufLjdp/wz8Vz+G9dy8P79/DfupbLAedp1T4174ZViwm8conwsFBC7gazcfVirl65SP1GLcgJfXhf1Jec+nB8Z7Wta/2WMM/3R1X5Fq3ap2RcwIOQuxw+8Bt/HNhLu06p5+js1HHOMub/egT9+CykD+dzod3YsWOJjY1Ve4wdO1Zr+YyX0GXvsk4/Pz8sLS3p0KGD2vTatWvTq1cvPD09adCgAZs3b6ZChQrMnz9fp+3JDum+ygVFihTh+PHjzJkzhydPnuDk5ISvry8ff/wxmzZtynoBWShVqhSTJk3im2++oX///vTp00frr0roYsWKFQwYMIAaNWrg4uLCjBkzaNEi9cNNyZIlOXXqFGPGjMHb25u4uDicnJxo2bKl6lKK96VDl+68fh3HkkWzef7sGeVdKjJ+ykxMTE1VZR5HhKNQpOZydXNn1JjxrF+znI1rl1PcriSjxkykgmvqkLh6DZvw9EksWzasJjoqEken0nw7aTrFiuXsuqT6DZvw9MkTNm9YRXRUFI5OpfkuzXKioyJ5nOZGVcXtSjBu0jRWLF3Ivj07sbaxYeDgYdRJ87N4b/JvWLOcjWtXUNyuJF+NmaCWP6fad+7B67g4lv3iy/NnzyjnUpFxk2elq8cwtSFkLhU9GDF6AhvXLmPj2mXY2ZVi5JhJlHdJ/cbgwN6dAEwcO1xtfZ+PGEvjZq2ync+iujt1Dq9RPXeb+S0A91dv55+BYzEuURQTh9TLcF7efcC5tj64+Y7F6bOexP0bztWRP/JoR+pPwkWfvsjFnqNwmTQCl0nDeRF8n4s9RhLz1z/ZzqXJnhPPKGikoF87C0wLGRD84DXTV0by6nXqdQ62FoZqlz1ExSYxfWUkvVpZ8NMwM6KfJPL7n8/ZfVy907BSWWNsrQro9GsQaXl6fUpC/CtO7pzM65exFHOoTKtPl1PQOPW+Kc9i/s3xNbVlPVvx6kUMfx9eyIsnEVjblefj/ospbFVKp5wduvTg9es4li6apTq+v5/im6FdGqTJ6ermwcgxE9iwZhmbUo7vkemO7+CbQUwc+6Xq+aplCwBo1LQlQ0d9m+18+nB8p2ZcnZLRmXGTpqlljIhIvfdNcsaprFy6iH17/DVmjI6KZNTw1JsN+2/fhP/2TVTy8OSHaXNynLGBV2OePn3CpvVriIqKwsnZmfGTplIs5dua6OhIHqfLOH7yTyxfsoi9e3ZhbWPDp4OHUrd+Q1WZV69e8euieUQ+jqBgQWNKOTgw8uuxNPBqnON8abXr3JPXcXEs/2UWz589pZyLG99Onq3WJiMjwtTeC10qevDl6IlsWruUTWuXUdyuFF+Omax2royNiWLhrClER0ViamaGo3NZvp3kS+V0d5vPjvz+vqgvOfXh+M5qW5Mzqh87302azsqlC9ifknHA4OEaM2ZWxzmhD/X4Rn7/LKQP5/P8Li9/9lHTZQ+a2NraYmhomGF0Qnh4eIZRDOkplUpWrFhB7969VSPctTEwMKBmzZrvdMSCQqnMwZ3LhHiHrtzKerhPfqDI7K58+USiUvsvEuQX990a5HWEbNkw+kheR8hS1Zolsi6Ux1q4a76Ra35jQN7c/yYn9OEcZKDI//UI8Cop6w99ea2A4v2NDPzQ6cOxo9SDm+zpQz2CfnwWKqDI/z8D6Vbu/VzW+i6EDOmUZ+t2/HV7tst+9NFHVK9enUWLFqmmubm50b59e42XT7xx9OhRGjduzOXLl3F3z/zyL6VSSa1atfDw8GDFihWZltWVjFgQQgghhBBCCPFB0Zefmxw1ahS9e/emRo0a1KlThyVLlhASEsKQIUOA5MsqHj58yOrVq9XmW758OR999JHGToVJkyZRu3Ztypcvz5MnT5g3bx4BAQEsXPjufq1NOhb0UEhICG5u2od/afvNUyGEEEIIIYQQ+Ue3bt2IjIxk8uTJhIaG4u7uzt69e1W/8hAaGkpISIjaPLGxsWzbto25c+dqXGZMTAw+Pj48evQICwsLqlatyvHjx6lVq9Y72w65FEIPJSQkcPfuXa2vOzs76+XdX+VSiNyjD8P/5FKI3COXQuQeuRQid8ilELlHLoXIPfpw7MilELlHHz4LyaUQ79b9zzvn2bodFm3Ls3XnFf3761NQoEABypUrl9cxhBBCCCGEECJfysubN/4XSW0LIYQQQgghhBBCZzJiQQghhBBCCCHEhyWHP6Mt3o6MWBBCCCGEEEIIIYTOZMSCEEIIIYQQQogPir783OSHQkYsCCGEEEIIIYQQQmfSsSCEEEIIIYQQQgidyaUQQgghhBBCCCE+KPJzk++X1LYQQgghhBBCCCF0JiMWhBBCCCGEEEJ8UOTmje+XjFgQQgghhBBCCCGEzqRjQQghhBBCCCGEEDqTSyGEyCEl+X9YlZFBfF5HyNKG0UfyOkK2dJ/ROK8jZClwU2BeR8iSAUl5HeGDkYhhXkfIUlxSwbyOkC0mBq/yOkKWEpX5f3/rw/uiyD36sr8LKBLyOkKW9OF8rs/k5o3vl9S2EEIIIYQQQgghdCYjFoQQQgghhBBCfFDk5o3vl4xYEEIIIYQQQgghhM6kY0EIIYQQQgghhBA6k0shhBBCCCGEEEJ8UORSiPdLRiwIIYQQQgghhBBCZzJiQQghhBBCCCHEh0V+bvK9ktoWQgghhBBCCCGEzmTEghBCCCGEEEKID4pCIfdYeJ9kxIIQQgghhBBCCCF0Jh0LQgghhBBCCCGE0JlcCiGEEEIIIYQQ4oOikJs3vldS20IIIYQQQgghhNCZdCzkUL9+/ejQoUOmZZydnZkzZ47q+aNHj2jevDlmZmZYWlq+03z5Sfp6EEIIIYQQQoj3QWGgyLPHf5FcCvEOnDt3DjMzM9Xz2bNnExoaSkBAABYWFhw9epTGjRsTHR39n+poyA1KpZLN6/04uH83z589pbyLG59+NgJHp9KZznf61DE2rlnOo9B/sStRkh59PuWjug3VyuzfswP/7RuJjorCwdGZ/j5DcXP3/CAz7t3jz85tm4iOisTByZmBPl9Qyb2y1vJXLl9ixdJF3L93F2sbWzp27kbL1u1Urx/Yv4cjhw8Scu8OAGXLVaBX34FUcKmY42zpdWpSmMY1TTEzMSD4/mv8dsfyMDwh03lMCyn4pHkRalYqhGkhAyKiE1i/7wmXbsQBMPvrYhS1ynj6O3jmOat2x2Yrl3X9GpT5aiAW1dwpVLIY5zt/Ttiuw5nP06AmbjO/wdytPHH/hhPsu4yQJRvVyth1bEGFiV9iWtaRF8EhBI2fTZj/oWxl0kapVPL34YVc/2szcS+fUMyhMnXbf4918fLZmj/40m/8sfFrnNya0qL3AtX00Dvn+Of4Ch4/vMqLpxE07zUf50rNdMq4b8/OlLYdiYNjaQb4DMUtkzZ59XIAK5cu4n7IHaytbenQ5X94t2qvVub0qWNsWLNC7ZiqXbeBTvn0KWfyOWglh1LOQeVc3Bj02UgcsjgHnTl1VO0c1L3PILVz0LUrAfhv28jtW0FER0UyetyP1Krzdjm3rl/BH7/78+zZU8pVqMSAz0bh4FQm0/nOnjrC5rXLCAt9SPESpejW24dadb1Urx/Yu4NDe3cQERYKgL1jaTp170/VGnVynHHvHn92bNtMdFQkjk7ODPT5PBvnyl8ISXOu/Lh1W9Xrp0+dYMum9TwKfUhCQiIlS5WifcdPaNy0eY6zvZHbbTLk3h02rl1J8K0gIsLD6D/oC9p2+ETnfJDz966rlwPwW7qQ+yF3sbK2oUOX7hqPm6zeM3NKf47v/P0ZQ19y7tuzk53bUz4LOTozMIv9fUW1v++q9nfLVqmfhULu3WHD2pUE37pBRHgYAwZ9QdsOXXKcKy19OZ8LATJi4Z0oWrQopqamqufBwcFUr16d8uXLU6xYsTxMpi4+Pj6vI+TYzq0b2L1jM58OGcH02YuxtLJm8rivePnihdZ5ggKvMGvaJLyatMB3wfLkf6dN5Mb1a6oyp47/wcqlC+jcrTcz5y2lontlfpwwhojwsA8u48ljR1ixZCGfdOvJrPlLcKvkwZTx32hdTtijUKaMH4tbJQ9mzV9Cl649WLZ4AX+ePK4qc+WfSzTwasKUqbOY7ruAokWLMXHcaCIfR+QoW3ptGpjzcT0zVu2OZfyiCGKeJfFNfxsKFdTeE2xoCN/0t6GolSFz10fzf3PCWb4zlugniaoy4xc95oupj1SPqSseA/DXlZfZzmZoZsqTf4K4+uXkbJU3cban5u4lRJ28wMmaHbg1/Vcqzf4Ou44tVGUsa1eh6vrZPFznz4nq7Xm4zp9qG+ZgWUv7B53suHR8GZdP+lG33Tg6fLEZk8K27Fs+kNdxz7Oc92n0Q87u/Rk75+oZXkt4/RLrEi7UbTfurfKdVLXtXvjOW0ZFdw9+mDA60zb5w4RvqOjuge+8ZXTq1pPli+dz+tQxVZmgwKv4phxTsxYs03hMfag5d25dz54dmxk4ZATTZi9JOQeNytY5qGETb3wXrKBhE29mTZugluPVq1c4ly7LwCEjdM6W1q5t69i7cyP9h4zip1nLsbSy5qfvR/DyhfZ2eSPwCnOnT6BBY2+mz19Fg8bezJ3+PTeDrqrK2NgUpXvfIfw4Zzk/zllOJc/qzPzhG+7fu52jfCeOHWH5kkV80q0Hs+cvxq2SB5PHj810f08e/y1ulTyYPX8xXbp2z3CuNC9cmE/+15PpvvOZu2gpTZt5M2/2DP6+cC5H2d54F20yLi6O4nYl6N3PB0sra51ypZXT966wR6H8OGEMFd0rM3PeUjp368WKxfPSHTdZv2fmlP4c3/n7M4a+5Dx5/A9WLF1Il2698J23FDf3ykzJol3+MGEsbu6V8Z23lM5aj52S9O7ng1UuHDugP+dzIUA6FrTaunUrHh4emJiYYGNjQ7NmzXj+PPXDzsyZMylRogQ2NjZ88cUXan+kp70EwNnZmW3btrF69WoUCgX9+vWjcePGAFhZWammZaVRo0YMHz6c0aNHY21tjZ2dHRMnTlQrExISQvv27TE3N6dIkSJ07dqVsLDUE+TEiROpUqUKK1asoEyZMhgbG6NUKlEoFCxevJg2bdpgampKxYoVOX36NLdu3aJRo0aYmZlRp04dgoODVcsKDg6mffv2FC9eHHNzc2rWrMmhQ2/3rWpWlEole/y30Llbb2rXa4ijcxmGjRpLXFwcJ45pX/ce/614Vq1Op669sHdwolPXXnh4VmeP/xZVmd07NtOkRSuaebfB3tGZAT7DsLEtyu97/T+4jP47ttCsxcc0b9kaB0cnPh08FNuixdj/2y6N5ffv3U3RYsX4dPBQHBydaN6yNU2bf4z/9s2qMqNGf0erNu0pU7Yc9g6OfD78K5RJSv65dDFH2dJrWc8M/6PPOH/tFQ/CE1i8NZqCRgrqepponcerevLohtlro7gZ8prImERu3HtNyKPUUQ5PXyQR+yz1UdWlEGGRCQTeeZ3tbBG/H+fGhDk82nkwW+WdfP7Hq5BQrn31E8+u3+b+iq3c99tOmVEDVGVKD+vL40N/EjxjCc+DbhM8YwmP/ziD87C+2c6VnlKp5Mqp1VRpPJjS7i2wtqtAo0+mkRD/iuCAPZnOm5SUyJFNo6nWbCiFrR0yvO7g0pCaLUZQ2r2Fhrmzb/eOLTRt0Yrm3m2wd3RioM8wbGyLaW3bv+/dhW3RYgz0GYa9oxPNvdvQpPnH+G/flLpM/614Vq1B5649sXdwonPXnnh4VmOP/9YPOqdSqeQ3/y106tab2vW8Us5B36acg7S31d/8t1C5ag06de1FqTTnoN/SnIOq1ahN9z6DqF3PS+tycpJzn/9mOnTrS626jXBwLsPno8YRFxfHqUxy7t21CY+qNenQtQ+lHJzo0LUP7p412Oefej6q/lF9qtasS8lSjpQs5cj/+gymUCETtc6H7PDfsZVmLT6mhepc+QW2RYux77fdGsunniu/wMHRiRYtW9O0eUt2pjlXelSuQp269XFwdKJEiZK07dAZ59JlCLx6JUfZ3ngXbbJ8BVf6DvyM+l5NMTIy0imXesacvXcd2OuPbdFiDPAZhr2jM82829CkeSt2bU8d3ZWd98yc59SP4zu/f8bQl5y7VPs7+fge6DMUG9ti7N+r+bNQ6v5O+Szk3ZomzT9WO77LV3Cl38AhNPBqQoFcOHb05XyerxkY5N3jP+i/udVZCA0NpXv37gwYMIDAwECOHj1Kp06dUCqVABw5coTg4GCOHDnCqlWr8PPzw8/PT+Oyzp07R8uWLenatSuhoaHMnTuXbdu2ARAUFKSalh2rVq3CzMyMs2fPMmPGDCZPnszBg8knFqVSSYcOHYiKiuLYsWMcPHiQ4OBgunXrpraMW7dusXnzZrZt20ZAQIBq+pQpU+jTpw8BAQG4urrSo0cPBg8ezNixYzl//jwAQ4cOVZV/9uwZrVq14tChQ1y8eBFvb2/atm1LSEhItrZFF2GPQomJjsKzWg3VNCOjglRy9yQoUPuHshvXr+JZtabatCrVahIUmPwhMz4+nuBbN6iSroxntZqZLlcfM6qWkyYfQJWqNbgeqPlDd1DgVapUVS9ftXoNbt0MIiFB8yUJr+PiSExMwNy8cLazpVfUyhDLwoZcvvVKNS0hEa7fjaO8Y0Gt81VzLcSt+6/p286ChWOLM3V4Udp5maPQMsjB0BDqVTHh2AXtvf+5wbJ2FSIOnVKbFnHgBBbV3VEUSL4sw6p2FR4fOqlW5vHBE1jVqarzev+fvfuOr+n+Hzj+upkS2YIYGUYkMoQYtUpL7dpKdahSdNAabVX5lVCjI6iiFXu0doiibWxKKZpQmxgJInuIkXl/f9zkJje5N0tIru/7+XjcB/fkcz7nfT6fcz733M/9nM+5n3CbR/djqe3aRr3M0MiEGnWaE3Wr8I6fkH2LqVTZFvfmTzaUszCqY/Ky1uNf1zF55dJ5GvvmT9+CsDzH5JVL5wucL018W+jM83mJM1rdBuXmaWxsgkcp2iAf3xYlbgOLHWfUXRIT4mjUpIVGnA29GnPl4n8617t66TyN8sXZyLeFznWyMjM5dmgvqY8f08Ddq9jx6W4rm+qsm0sXL9C4iebIniZNm3Pt6hWtbaVSqeRM6L/cuX0bTy/vYsemGWPZH5NlqTSfXZcvndc4flUxNi9w3hT2mVm6OCv++V3RrzH0Jc7cfPKd377NuKTzuLxQoD1oku+4LGv60p4LkUPmWNAiMjKSjIwM+vXrh7OzMwDe3rkf+ra2tixcuBBDQ0Pc3d3p0aMH+/btY8SIEQXyqlq1KqamppiZmeHg4ACAnZ1qeFS1atVKNMdCo0aNmDp1KgCurq4sXLiQffv20alTJ/bu3cvZs2e5ceMGjo6qXxbXrl2Lp6cnJ0+epHlzVQOTlpbG2rVrqVq1qkbe7777LgMHDgRg4sSJtGrViv/7v/+jS5cuAHzyySe8++676vQ+Pj74+OTez/b111+zbds2duzYodEBUZYSE+IBsLHRHF5mbWNLTIzuIXCJCfHY2NpqLLOxtVXndz85iaysTKzz5Wtjk5vmeYlRlU8WNjaa27K2tSVBRz6JCQlY54/NxpbMzEySk5Ows6tSYJ01K5diV8UenyYFh88Xl42lqt8zKSVLY3lSShb2NoY616tmZ4i9jSnHzjzku9XxOFQx5J1eNhgYwPYDKQXSN2uomofh8L9Pt2PBtLo9qVGxGsvSouMwMDbGxN6W1HsxmDrYkxoVp5EmNSoOUwfN87UkHt1XbdPMwl5juZlFFe4n3tW53r2b/3L51Fb6fbyt1NsuDp3HZCHHdkJCPI1tCj8mExPiCxy31rYlP6f1Lc6EhLjs7eRvK+yIibmnc72i2qCylpOvdYHytCM2urA44wq0g9Y2dgXiDL8Zxv99Oor0tDQqmZkxYfIsajsVfk9yXsk66tum0LZSSxlqaSsfPEhh2NuDSE9Px8DAgPc/+qTAF5bieFrHZFkqzWdXYkK8ln2yIzMzk/vJSdhmnzdlebzqy/ld0a8x9CVOXfWtyidB6zoJCfE0eYbnjmqb+tGeV2T/q5MolhfpWNDCx8eHjh074u3tTZcuXejcuTMDBgzANvsk9fT0xNAw94tNjRo1+O8/3b+wlJVGjTTvs65RowbR0dEAXLx4EUdHR3WnAoCHhwc2NjZcvHhR3bHg7OxcoFMhf97Vq1cHNDtTqlevzuPHj0lOTsbKyooHDx7g5+fHzp07uXv3LhkZGTx69KjYIxZSU1NJTU3VWJaWmoqJqan6/eEDe1iy0F/9/stpcwBQFPjpWYmCohoOzb8rlQXzyZ+tUqllYT76EKP2TRXMqGDMeSMrGJu25QCBmzdw5NB+vv5mLiYmukcW5Nfax4xhva3V779fo/0DUAGg1J2PQqEg+UEmy7cnoVTCzbvp2Frdp8eLFlo7Fto3M+fM1VQS72dpya2MKfMFnlPmeZdrS5N/WSGuhfzGke3T1O+7vvOTKpv8oRRyTKalPuDAps95sd90KlW21ZqmrBU4/pTKQg/t/OmV2QdF3qUFj9vC8yyOihbn4QPBBORpgyZN+yZ7u/nCLEYbpD2Osrko++vAnyxd9J36/cSp32XHWbK2qLjr1KzlxDcLVvHgwX3+OXqQxfNmMnXOwhJ1Lqi2VWBTJWorc87dvMvNzMyZvzCAR48ecfbMv6xY+hPVHWrg3ahxiWLLjbHsj8myVtLPLm2foVpSFcjzSY/Xind+68c1hr7EWXBT2rZVWHJd9V02Z4++tOdC6CIdC1oYGhqyZ88ejh07RnBwMD/++COTJ0/mxIkTAAXuOVQoFGRlPf0vJYVtV1eDkX953qdV6Mo7J722ZTnb++yzz/jzzz/5/vvvqV+/PmZmZgwYMIC0tOLdoz579mz8/Pw0ln0wZgIffvyp+n3zF9rgmuepAjnzWCQkxGGbp2c4KTGxQM9sXja2BX/NSkpMUP9SZmlljYGBYcE0SQkFerPz04cY81LlY6BlW4k689HWy52UlIChoSGWVlYay7dv3ciWTb8wfeb3uNSpV+y4AP69+JiwiNzjx8hIdcxZWxhofOm3sjAoMIohr8T7mWRman4XvxOTgY2lIYaGkJk7hyNVbAzxqmfK/F+1/0JRllKjYguMPDCpakdWejppcYmqNPdiMXXQHFlgWs2uwEiHwjh5dKCfY25HYWamqkwfpsRibpU7eezjlHjMLLT/wnI/LpyUhDv8ueZD9TKlUlXmyyZ7MXD8bqyqOBU7psLkHJP5fwVOSkos8KtUDlut50ti9jGp6pzSdk4lJ+rOU1/jbP5CW1zdPNTvM9RtUDy2drnHUlJiwZFHednY2hXct8TEAiMKSqvpC22p7+apfp+erjouE/PHmZRQ6DZtbKuQmKA5qkfbOkbGxjjUrA1APdeGhF29xO87NjNi9OfFitdKXd+abUNSou42V1sZJiYlFmgrDQwMqFGzFgB169UnIjycLZvWl7hj4Wkdk2WpNJ9d2o/FhCLPm7yfmaWLsyKe3/pxjaEvcebQeS1USPtjq6ON1HYtVFr60p7rE4VC7vp/lqS0dVAoFLRp0wY/Pz9CQkIwMTFh27ayGRKc8ytuZt5vOE/Iw8OD8PBwIiIi1MsuXLhAUlISDRs++SP/8jty5AhDhw6lb9++eHt74+DgwM2bN4u9/qRJk0hKStJ4vTdqjEYaM3NzatSsrX45OrlgY2vH2ZBT6jTp6emcP3cGt4a6751t4O7JmdBTGsvOhJzEraHqItfY2Jh69RtwJkQzzdmQU4Xmqy8x5pWTT2jIaY3loSGncW/oqXUdt4aeBdP/e4r6rm4YGeX2TW7bsoFN69cxdcY31G/gVuyYcjxOUxIVn6l+3YnOIPF+Jl71K6nTGBqCu4spV8N1d2BdvZVG9SqGGj38NaoYkZCcSf5Trr2vOckPsgi9/JinLfF4KPYdW2ssq9qpLUmnz6HMvj8z4Xgo9h3baKSxf6UtCX8XfxJME9PKWNs7q1+21epjZmnPnavH1GkyM9KIvHGS6s5NtOZhXbUu/T8Jot+YQPXLuWEHatZ9gX5jAqls7VDseIqiOibdChzbZ0JO6TwmG7h7akl/knp5jklt51RoyEmdeeprnPnboNo62qALxWiDzoZqPplA1QYVv30pPM7KONSsrX7VdqqDjW0V/gvJ3WZGejoXz4XSoKHu+QZc3T011gE4G3Ky0HVA1cme05lRHLltbvHbSveGHjraygYabaWW6NRfIEriaR2TZak0n11u7p4axy+ozomizpu8n5mli7Pin98V9RpDX+LMoSufMyGncdd5XHpoaQ9Olem5oy/tuRC6SMeCFidOnGDWrFmcOnWK8PBwAgMDiYmJKbMv6M7OzigUCnbu3ElMTAwpKQWHZ5fUK6+8QqNGjXjzzTf5999/+eeffxgyZAjt27enWbOS37tZlPr16xMYGEhoaChnzpzhjTfeKNGoDVNTU6ysrDReeW+D0EahUPBq79fYuukXThw7TPjN6yycNxtTU1NebP+KOt0C/5msWxWgft+j1wDO/HuKbZt/5XbELbZt/pWzoad5tXfuc7l79h3IvuBd7Avexe3wm6wMWEhsTDSd8zyfuDj0IcbefV9j75+72Rv8OxHht1gesIjYmCi6dFc9a33tyqXM/362On3X7j2JiY5iRcBiIsJvsTf4d/YG/07vfgPVaQI3b+CXNSsZPfYzqlVzICE+noT4eB49Kv7jG7X54+gDerW3oJlHJWpXM2JUfxvS0pUcO5Ob76gBNgzsnDtJ5N5/HmBhbsDbPaxwqGJIYzdTer1kwZ4Tmo+wUyigna8ZR/59SGkGHBlWNsfKxx0rH3cAzOvUxsrHnUqONQBw+3o8Piu/Uae/FbABM+eaNPzuCyzc61J7aH8c3+3P9bkr1GluLlyDfac21P10BJXd6lL30xHYd2zFzR9XlzxA9X4q8GozhNCDAdw4v4f4e1c4tOVLjIwrUa/xq+p0BzZN5J8/5gJgZGyKnUMDjZdJJUuMTStj59AAQyNV52h66gPi7l4k7u5FQDVRZNzdi6QUMneDNj37vpZ9bO/mdvgtVgQsJDYmSn1sr1sVwA/+s9Tpu3TvRUx0FCuXLuJ2+C32Be9mX/BuevfLnaz21V79Cf33JIHZ51Sg+pwq/USU+hCnQqGgR+/XCNy0Tt0GLVK3QZ3U6Rb4z+SXVUvU77ur26BfuBNxi22bf+G/0FP0yNMGPXr0kBthV7kRdhVQTdB2I+xqqR5Hp1Ao6NZ7INs3r+GfY4eIuHmdxfNnYmpqSps8cS7yn8H6VT+p33frNZCzIScJ2rKOOxG3CNqyjnOhJ+nWO7c9Wr/6Zy6eCyU6KpLwm2FsWLOEC+dCaPtSyZ5e0rvvAPbkaSuXBSwmNiaartlt5ZqVy5j3/Rx1elVbGc3yfG1lnzxt5ZaNvxL67ynuRd7ldkQ4QYGbObBvD+1f7ljiMoSnc0ymp6er6zkjI4P4uFhuhF0l8u7tUsZY+GfXulUBLPCfqU7fuXvv7BgXcjv8JvuCd7E/eDe9+r2uTlOcz8ySx6kf53dFv8bQlzh79X2NvcG72Ru8m4jwW6zIfy20aqnW+l6xdFH2+a2q77znt+rcucaNsGtkZGQQFxfLjbBrRN69U+IyBP1pz4XIIbdCaGFlZcXhw4eZP38+ycnJODs74+/vT7du3di4cWPRGRShVq1a+Pn58cUXX/Duu+8yZMgQnU+VKC6FQsH27dsZM2YM7dq1w8DAgK5du/Ljjz8+cbzazJs3j2HDhtG6dWvs7e2ZOHEiycnJT2VbefUZMJi0tFQCFs/jQUoKrm4N+WrG95iZm6vTxMZEawx9cvfwYvzEr/h17XI2rFtOdYeajJ84jQbuucPN2rTrwP3kJDavX0NCfBxOznX40u8bqlUr+S+zFT3Gtu1fJvl+Mht/XUNCfDxOLi78n99sqlVX5ROfEE9MTLQ6fXWHGvzf9NmsCFjE7p1B2FWpwnujRtO6bTt1mt93BZGRkc63s6ZpbGvQG0MY/NbQEsWX184jKZgYKxjayxrzSgaE3U7jm5VxPE7Lvc/B3tpQ47aH+KQsvlkZx1vdrZk1pjIJyZn8eewBvx3W7MDzrGeKva1RqZ8GYd3Ui1b71qrfe3z/JQARawI5O3wSpjWqYpbdyQDw6OZtTvYciYf/JJw/eJPUu9GcHzeTe9uC1WkS/g4h5M3xuPmNxc3vYx6GRRDyxjgS/zlbqhhz+LR7j8z0VI4GTSftUTJVHRvRbdgyTExzb416kBhZ4iGDMXfOs2tp7qMwj+9SdaS4+vbhpddm61qtgLbtOnA/OZlN61erjknnOkzOc2wnxMcRm2fCr+oONZjiN4cVSxfx+87t2FWpwvBRY2iV57FZOefU+rXL2bBuBdUdajJh4lSNc6qk9CXOPgPeIC0tlaWL56rboP+b4Z+vDYrCIM+wHncPb8ZNnMr6tcvYmN0GjcvXBoVdvcy0SZ+o369ethCAlzp2ZfT4L0scZ6/+b5KWmsqKn/x5kHKf+m4efDl9PmbmucdlbEyUxuRbbg29+fhzPzatC2DTuqVUd6jFJxOn45rnNoukxAQWzZ1BYnwc5pUr4+RSn0l+/hpPoCiOF9u/zP37yWz8dS3x8fE4u7jwld9sqmXPQ5SQEEdsvrbyq+mzWB6wmN07d2htKx8/fszPixcQFxuDiYkptRwdGffpJF5s/3KJyw+ezjGZEB/LhI9zJ6MOCtxIUOBGPL19mDHnhxLHWNRnlypGzXKc7PcNK5cu5I/sGIeN+ljreVPYZ2ZJ6c/5XbGvMfQlztz6zr4WcnZhit8cjfrOfy00xW82K5cu5vfsa6GC504c43WcO1/PmV+i+HLoS3teYcnkjc+UQqkswaxgQjxF567pnuFWlIyhouxus3laZq7Qj8Z+8Lelu+B/li5uvFjeIRSpWyP5FaSsZOnBYMMMpe4nt1QkZgZP/zaoJ5WpB2WpfKpTP5YdRWEz/1YQ+lKW+sCAZzAp8xPKpOKf3971q5d3CKWWMPvDohM9JbaTFpfbtsuLjFgQQgghhBBCCPFcURhU/I7454mUdgUQHh6OhYWFzldxH+EohBBCCCGEEEI8azJioQKoWbMmoaGhhf5dCCGEEEIIIYSoiKRjoQIwMjKifv365R2GEEIIIYQQQjwXFDJ54zMlt0IIIYQQQgghhBCi1GTEghBCCCGEEEKI50sJH6MtnoyUthBCCCGEEEIIIUpNRiwIIYQQQgghhHiuyBwLz5aMWBBCCCGEEEIIIUSpSceCEEIIIYQQQgghSk1uhRBCCCGEEEII8XwxkN/QnyUpbSGEEEIIIYQQQpSajFgQQgghhBBCCPFcUShk8sZnSUYsCCGEEEIIIYQQotSkY0EIIYQQQgghhBClJrdCiApDgbK8QygWJRV/WFWm0rC8QyhSk+bVyzuEYrm48WJ5h1CkhoMalncIRVJcPFDeIRRLlh70t+tDW2miSC/vEIolQ1nxL4P04TPHgKzyDqFY9OH81oey1IdjEvQjTn1oz/WaTN74TElpCyGEEEIIIYQQotQqfle9EEIIIYQQQghRAgqDij9q5XkiIxaEEEIIIYQQQghRajJiQQghhBBCCCHE80Uhv6E/S1LaQgghhBBCCCGEKDXpWBBCCCGEEEIIIUSpya0QQgghhBBCCCGeLzJ54zMlIxaEEEIIIYQQQghRajJiQQghhBBCCCHEc0Uhkzc+U1LaQgghhBBCCCGEKDXpWBBCCCGEEEIIIUSpya0QQgghhBBCCCGeLzJ54zMlIxaEEEIIIYQQQghRajJiQQghhBBCCCHEc0VhIL+hP0tS2k/J0KFD6dOnT6FpXFxcmD9/vvr9vXv36NSpE5UrV8bGxuapxieEEEIIIYQQQpQFGbFQjk6ePEnlypXV7+fNm0dkZCShoaFYW1tz8OBBXn75ZRISEvSqo2Ho0KEkJiayffv2Ms33953bCQrcQEJ8HI5OdRg2cjQeXo10pj//Xygrly4mIvwGdnb29BnwOl2699ZI8/fRQ6xfu4J7kXdxqFGTN4a8R8vWLz5RnEqlkk2/rmLPH7/xIOU+rm4evPfBWJyc6xS63t9HD7Fh7XKNWF5o3U4jzR87t2WXQTyOTi68O3I0Hl4+FSbG8+fOELR1PdevXSEhPo7Pp3zNC61KX55KpZLTexdy6cQmUh8lU82pEW16f4Wdg2ux1r8Wuov96yfg7NGRLu8s0vjb+b9/5eyh5Ty8H4Nt9fq06vklNeo0K1WM/+5bxKV/smN0bETr3v+HXfXixRh2Zhf7N3yKs0dHOr+9UL088sZJzh5eQeyd8zy8H0Ont37ExfOVEsdn17YZdScMx9rXi0o1q3Gq/4dE7dhX+DovNsfj+y+w8HAl9W40Yf7LCA/YoJHGoW9nGkz7BPN6TjwMC+fyV/OICtpb4vhy/L5zO9sDN2af3y4ML+L8Pqc+v2+qz++u3Xup/x5+6wbr160k7NoVYqKjGDbiI3r2GVDq+HLow7mjD21QWbfn4bdusGHdSsKuXSYmOop3R3xEzz6vlTiu/PShLFUxrmRvdoz13TwY8cE4HIuI8fjRgxoxDh4yQiPGC+dCCdq6gevXLmcfkzNpUcpjUr8+v6UsK/K1UFm2lfrQDpW0nTj/Xyirli4iIvwmtnZV6DNgsNb6Lqp9em4oZI6FZ0lGLJSjqlWrYm5urn4fFhZG06ZNcXV1pVq1auUYWcXz1+H9rFy6kP6D3sJ/wTIaennz9dTPiYmO0po+6l4kX0/9goZe3vgvWEa/QW+yfMmP/H30kDrN5Yvn8Z/jR/sOnZm7cBntO3TGf840rly68ESxbt+ynt+2beK998fyzbwl2NjaMX3KBB49fKhzncsXzzE3Oxb/hcu1xnJUXQZv8/2CpTT0asTMqRN1lkF5xJj6+BEuderz3vtjSxyTNmcOLeO/I6to0+f/6DtmM2YWVdm9bBhpqSlFrns/4Q4ndn2Lg5bOgrAzu/n7t9k06fA+/T7ehoNLM35fMZKUhLslj/HwMv77axWte02hz0ebMLO05/flw0lLfVC8GHd/h4NL0wJ/y0h7hF0NN1r3mlLimPIyrGxO8tnLnP9kerHSm7nUpvlvAcT/dZq/mvfh2jc/4zlvMg59O6vT2LRsTJNf53HnlyCONO3NnV+C8F0/H5sWui/ICvPX4f2sWLqIAYPewn/BUjy8GjGjkGNbdX5PwsOrEf4LltJfy/mdmppKdYeavD10JLa2dqWKSxt9OHcqehv0NNpzVX3X4O2hI7HRg/ou2/b8V3Zu28Tw98cyZ15AdozjixVjuw5d8F+4gnYdujB3zlSNGB8/foxLnXoMf8JjUr8+v6UsK/q1UFm1lfrQDpW0nYi6F8nMqRNp6NWI7xcspf+gt1ixZEG++i66jIUoLelYeEJbtmzB29sbMzMzqlSpwiuvvMKDB7lfKL7//ntq1KhBlSpV+Oijj0hPT1f/Le+tEC4uLmzdupU1a9agUCgYOnQoL7/8MgC2trbqZU8ST87tGX5+flSrVg0rKytGjRpFWlqaev0//viDtm3bYmNjQ5UqVXj11VcJCwvT2MadO3cYNGgQtra2VKlShd69e3Pz5k0Apk2bxurVqwkKCkKhUKBQKDh48GApSlbTb9s207Fzdzp1eZXaTs4MHzmGKvbV+HN3kNb0f+7egX3VagwfOYbaTs506vIqHTp1IyhwY26eQVvwadKM/gPfpLajM/0Hvom3jy87g7aUOk6lUsnOoM30H/Q2Ldu0w8mlLmPGTyI1NZUjh3T/mrszaAs+TZrSb+Bb1HZ0pt/At/D2acrOoM15ymATHTp355Uur1LbyYVhI8dQxb6qzjIojxh9m7VU/dLR5sl7vpVKJf/9tYYmHd6njldn7Bwa8PKgOWSkP+ZayM5C183KymT/hs9o2mkMVna1C/z97JFVuDXvj3uL17CtXo/Wvb7EwtqBC8fXlzjGc0fX0PjlUeoYX3pNFWNYaNExHtj4Ob6vjMbSzrHA3x3d2tG881jqeHXWsnbxxfx5mCtT53Nv+55ipXce+TqPwyO5MGEWKZeuE7FiCxGrAqk7fpg6TZ0x7xC79xhh3wbw4PJ1wr4NIHb/cVzGvFOqGHeoz+8eODo5M3zkaKrYV+OP3Tu0ps89v0fj6ORMpy496NCpG9sDN6nTuDZwZ+jw93mxfQeMjI1LFVd++nDu6EMb9DTac9cG7rwz/APatu+IsR7Ud1m257uCNtNv0Nu0bNM+O8Yvs2PUfc7vCtpMoybN6DfwLWrliXFXvmNy8JARtGzTvkQx5adPn99SlhX/Wqis2kp9aIdK2k4E7w7Cvmo1ho0cQ20nF17p8iodOnVnR2DuiMPilLEQpSUdC08gMjKSwYMHM2zYMC5evMjBgwfp168fSqUSgAMHDhAWFsaBAwdYvXo1q1atYtWqVVrzOnnyJF27dmXgwIFERkbyww8/sHXrVgAuX76sXvYk8QDs27ePixcvcuDAAdavX8+2bdvw8/NT//3BgweMHz+ekydPsm/fPgwMDOjbty9ZWVkAPHz4kJdffhkLCwsOHz7MX3/9hYWFBV27diUtLY1PP/2UgQMH0rVrVyIjI4mMjKR169ZPUsykp6cTdu0yPk2aayxv7NucSxfPa13nyqXzNPbNn74FYVcvk5GRkZsmX55NfFvozLM4ou5FkpgQj49v7q/kxsYmeHr5cPniOZ3rXbl0Xuv+Xc6ORVUGVwrE6+PbvNB8n2WMZe1+/G0e3Y+htmsb9TJDIxNq1G1O1K2QQtf9d+8izCrb4d6i4ND3zIw0Yu+c18gXoHaDNkXmWyDGhNs8uh9bMMY6RccYsm8xlSrb4t78yYfnlyWblo2J2XtUY1lM8BGsm3qhMFLdPWfbsjGxe//SSBO75wi2rZqUeHu5x7bmyJLGvs24pON4vHzpAo19NdM38W2ucX4/Dfpw7lT0NuhptedPQ0UvS4BodYy5eRkbm+BRihh9fFuUePtF0afPbynLXBX1Wqis6EM7VJp24vKl8xrHryrG5gXq+1ley5U7A4Pye5XQ4sWLqVOnDpUqVaJp06YcOXJEZ9qDBw+qf8DN+7p06ZJGuq1bt+Lh4YGpqSkeHh5s27atxHGVhMyx8AQiIyPJyMigX79+ODs7A+Dt7a3+u62tLQsXLsTQ0BB3d3d69OjBvn37GDFiRIG8qlatiqmpKWZmZjg4OABgZ6caRlWtWrVizbFQVDwAJiYmrFixAnNzczw9PZk+fTqfffYZM2bMwMDAgP79+2ukX758OdWqVePChQt4eXmxYcMGDAwMWLZsGYrs+5ZWrlyJjY0NBw8epHPnzpiZmZGamqreD21SU1NJTU3VWJaWmoqJqWmBtPeTk8jKysLGxlZjubWNLYkJ8VrzT0iIp3G+9DY2tmRmZpKcnISdXRUSE+Kxts2Xp63uPIsjZ10bG80hcNY2tsTE6B7impgQj02+WGzyxKIqg0ys8+VrU0gZPOsYy9rD+zEAmFlW0VhuZlGl0FsW7t38l8snt9J/7Hatf3/8MAFlViZmFgXzfXg/tkQxPspOb2ZhXyCv+4lFxHhqK/0+froNfGmYVrcnNUqzHNKi4zAwNsbE3pbUezGYOtiTGhWnkSY1Kg5Th6ol3p6u81t1bCdoXSchIZ4mRZzfT4M+nDsVvQ16Wu3501DRyxIgISFOa4w2NnbExNwrdYxlRZ8+v6Us8+RZQa+Fyoo+tEOlaScSE+K17JMdmZmZ3E9Owja7vp/ltZwono0bNzJ27FgWL15MmzZtWLJkCd26dePChQs4OTnpXO/y5ctYWVmp31etmnsd9vfffzNo0CBmzJhB37592bZtGwMHDuSvv/7ihRdeeCr7ISMWnoCPjw8dO3bE29ub1157jaVLl5KQ50LY09MTQ0ND9fsaNWoQHR1dbvHkpMk7r0OrVq1ISUkhIiICUM3z8MYbb1C3bl2srKyoU0c1yU54eDgAp0+f5tq1a1haWmJhYYGFhQV2dnY8fvy4wC0ThZk9ezbW1tYar6VLfix0HUX+CViUykLnZMmfXolq5EbepQrypSkiz/wOH9jDm/27ql+ZmRnaY0VZYFtaIs4XS8F8tBRBkRPTPOsYS+tqyG+s+D9f9SsrKzvO/DEVss9pqSkc2PAZL/afQaXKtlrT5Ch4fOjON8e1kN9YObWp+pWVmZ4dY/4QdZdlWuoDDmz6nBf7TS8yxnKTZ5QTkFsueZdrS5N/WUnkrw9l4dWh+/wuu4ma9OHc0Yc2SOuWnkJ7/qT0oSwPHwjmrf5d1K/MzEzteRUjRu2ff09norOK+fktZalOo2fXQmWlIrZDBbep+b6odkJbmWtJVSDPp1XG5U6hKL9XCcydO5fhw4fz3nvv0bBhQ+bPn4+joyM//fRToetVq1YNBwcH9Svv98758+fTqVMnJk2ahLu7O5MmTaJjx44aTyQsazJi4QkYGhqyZ88ejh07RnBwMD/++COTJ0/mxIkTAAXur1IoFOpbCp51PDkdBLrkNCg9e/bE0dGRpUuXUrNmTbKysvDy8lLPw5CVlUXTpk355ZdfCuSRt5esKJMmTWL8+PEay8IitPeWWlpZY2BgQEK+3tSkpMQCPbk5bG3tCvS+JiUmYmhoiKWVNQA2WtIkJ+rOU5vmL7TB1a2h+n3OHBoJCXHY5um9TkpMLNBDnJe2WJISE7DO7nlWlYFhwTRJCQV6p8srxifl7PEy1RxzJ//LzFAdcw/vx2JulTuZ6aMHcQVGG+RIjovgfsId/lz9gXqZUqk655ZO8mTQp79T2doBhYFhgdEJj1PiMNeRbw4njw70yxtjZnaMKZoxPk6J1xnj/bhwUhLu8OeaDwvEuGyyFwPH78aqiu7e6actNSq2wMgDk6p2ZKWnkxaXqEpzLxZTB81RGqbV7AqMdCiOnPNb27Gt69iytbUr2B6oz28rreuUhj6cO/rQBuX1tNrzsqAPZdn8hba4unmo32eoY4zH1i73nExKTCjwK3T+GLWdQ2XVnueo2J/fUpagX9dCZaUit0OaMZasndB+LCYUWd9Po4yF9tHZpqammOYbnZ2Wlsbp06f54osvNJZ37tyZY8eOFbqNJk2a8PjxYzw8PJgyZYp6fj5QjVgYN26cRvouXbo81Y4FGbHwhBQKBW3atMHPz4+QkBBMTEzK7P4VExMTAHUvelnEc+bMGR49eqR+f/z4cSwsLKhduzZxcXFcvHiRKVOm0LFjRxo2bFhgxIOvry9Xr16lWrVq1K9fX+NlbW2tjruomE1NTbGystJ4absNAlQdNPXqu3Em5JTG8jMhp3Bv6Kl1nQbunlrSn6SeqxtG2feJN3D35EyoZprQkJM689TGzNycGjVrq1+OTi7Y2NpxNs+209PTOX/uDG4NvXTmoy2WMyEnccuORVUGDQrs09mQU4Xm+yxjfFImphZY2zurX7bV62NmWZXbV3Mb1cyMNCKvn6S6cxOtedhUrcuAcTvo/8k29cu5YQdq1n2B/p9so7K1A4ZGJtjX8uTOVc3G+vbVYzrzzY2xsmaM1epjZmmvkVdmRhqRN3THaF21Lv0/CaLfmED1KyfGfmMCqWyt+xaiZyHxeCj2HTXnRanaqS1Jp8+hzL5HM+F4KPYdNeeosH+lLQl/l2yOCtB9bJ8JOY27juPRzd2DMyGnNZaFhpzSOL/Lgj6cO/rQBuX1tNrzsqAPZZk/xto6YrxQjBjPhp7UEmPx67I49OnzW8oyV0W9FiorFbkd0oyxZO2Em7unRpmDqi6Lqu+nUcZC++js2bNnF0gXGxtLZmYm1atX11hevXp17t3TfhtWjRo1CAgIYOvWrQQGBuLm5kbHjh05fPiwOs29e/dKlGdZkI6FJ3DixAlmzZrFqVOnCA8PJzAwkJiYGBo2bFj0ysXg7OyMQqFg586dxMTEkJJS+CP2ihNPWloaw4cP58KFC/z+++9MnTqV0aNHY2BgoH7KQ0BAANeuXWP//v0FRhW8+eab2Nvb07t3b44cOcKNGzc4dOgQn3zyCbdv3wZUT7g4e/Ysly9fJjY2VuNJGKXVs+9r7Avexb7g3dwOv8WKgIXExkTROfu59etWBfCD/yx1+i7dexETHcXKpYu4HX6LfcG72Re8m979BqnTvNqrP6H/niRw86/cjrhF4OZfORt6mld7l34yPYVCwau9X2Prpl84ceww4Tevs3DebExNTXmx/SvqdAv8Z7JuVYD6fY9eAzjz7ym2ZceyTR1L7vOPe/YdmF0Gu7gdfpOVAQuJjYlWl0FFiPHRo4fcCLvKjbCrgGoyrBthV0v1CDWFQoF32yGEHljCjXN7iL93hYObJ2FkXIn6TV5VpzuwcSL//O4PgJGxKXYODTRepmaWGJtWxs6hAYZGqs66Ri8O5dLJLVw6uZWEqDCO/TablMRIGrZ8vcQxerUZQujBAG6cV8V4aMuXGBlXol7jPDFumsg/f8zVGaNJpYIxpqc+IO7uReLuXgRUE0XG3b1ISiFzN2hjWNkcKx93rHzcATCvUxsrH3cqOdYAwO3r8fis/Ead/lbABsyca9Lwuy+wcK9L7aH9cXy3P9fnrlCnublwDfad2lD30xFUdqtL3U9HYN+xFTd/XF2i2HL06vsae4N3szd4NxHht1gRsIjYmCi6dO8JwNpVS7We3yuWLiIi/BZ7s8/vPv0GqtOkp6dzI+waN8KukZGRQVxcLDfCrhF5906pYgT9OHf0oQ16Gu25qr5V5ZeRkUF8XCw3wq4Sefd2iWLLSx/KUqFQ0KP3awRuWqeOcZE6xk4aMf6yaon6fXd1jL9wJ+IW2zb/wn+hp+hRyDEZVcpjUp8+v6UsK/61UFm1lfrQDhXVTqxbFcAC/5nq9J27986OcSG3w2+yL3gX+4N306tf7rVNccr4eaIwMCi316RJk0hKStJ4TZo0SXesBW4J1X1LlZubGyNGjMDX15dWrVqxePFievTowffff1/qPMuC3ArxBKysrDh8+DDz588nOTkZZ2dn/P396datGxs3biw6gyLUqlULPz8/vvjiC959912GDBmi86kSRcWTo2PHjri6utKuXTtSU1N5/fXXmTZtGgAGBgZs2LCBjz/+GC8vL9zc3FiwYAEvvfSSen1zc3MOHz7MxIkT6devH/fv36dWrVp07NhRPXnIiBEjOHjwIM2aNSMlJYUDBw5o5FEabdt14H5yMpvWryYhPh4n5zpM9vuGatVUv+4mxMcRm2dCoOoONZjiN4cVSxfx+87t2FWpwvBRY2iV51FP7h5ejJ/4FevXLmfDuhVUd6jJhIlTaeDuUWD7JdFnwGDS0lIJWDyPBykpuLo15KsZ32OWZ26L2JhoFIrcfr2cWH5du5wN65ZT3aEm4ydO04ilTbsO3E9OYvP6NSTEx+HkXIcv85RBRYgx7Oplpk4aq36/atkiAF7q2JUx43U3prr4tH+PjPTH/LV9OmmPkqjm2Iju7y3HxNRCnSYl8W6JG8l6Pt15/DCRf/ct4mFyDHYOrnR7dwmWtrVKHmO798hMT+Vo0HTSHiVT1bER3YYtw8S0sjrNg8RIjbIsjpg759m1NPfxjcd3qb78u/r24aXXCvZ462Ld1ItW+9aq33t8/yUAEWsCOTt8EqY1qmKW3ckA8OjmbU72HImH/yScP3iT1LvRnB83k3vbgtVpEv4OIeTN8bj5jcXN72MehkUQ8sY4Ev85W6J9zJF7fq/JPr9dmOI3R+P8jonJnZ9GdX7PZuXSxfy+M0jr+Z0QH8f4j3Mnyg0K3EhQ4EY8vX34es78UsUJ+nHuVPQ26Gm05wnxsUzQUd8z5vxQovjyquhlqYrxDdLSUlm6eK46xv+b4Z8vxigM8rST7h7ejJs4lfVrl7ExO8ZxWo7JaZM+Ub9fvWwhoDomR4//stjx6dfnt5RlRb8WKqu2Uh/aoaLaCVWMmp+Nk/2+YeXShfyRHeOwUR9rre/CyliUDW23PWhjb2+PoaFhgZEE0dHRBUYcFKZly5asW7dO/d7BweGJ8ywphVL5JLNtCX0ydOhQEhMT2b59e3mHotX5a5HlHUKxKJ/qND3/O/489/QatrKkzKr4TWTDQWUzSuppqnPxQHmHUCxZMpCvTCi0ThhW8ehDe64PMRrw9OaPKkv6cH7rQ1nqwzEJ+tEO6UNZetUv31s0n8SjdbOKTvSUmL1V/E7DF154gaZNm7J48WL1Mg8PD3r37q319gltBgwYQHx8PPv37wdg0KBB3L9/n927d6vTdOvWDRsbG9avX1/s2EpCRiwIIYQQQgghhBDlYPz48bz99ts0a9aMVq1aERAQQHh4OO+//z6gmvT+zp07rFmzBlA98cHFxQVPT0/S0tJYt24dW7duZevWreo8P/nkE9q1a8c333xD7969CQoKYu/evfz1119PbT+kY0GPhIeH4+Ghe6hSUc86FUIIIYQQQoj/CQYVf0QIqEYXxMXFMX36dCIjI/Hy8mL37t04OzsDEBkZSXh4uDp9Wloan376KXfu3MHMzAxPT0927dpF9+7d1Wlat27Nhg0bmDJlCv/3f/9HvXr12LhxIy+88MJT2w+5FUKPZGRkcPPmTZ1/d3FxeSoz0z4rcivE/xa5FaLsyK0QZUcfhkrrA30Yggz60Z7rQ4z6MHwf9OP81oey1IdjEvSjHdKHstTrWyF+Lf6cVGXN7I2Szy2m7/T3W+j/ICMjI+rXr1/eYQghhBBCCCGEEGrSsSCEEEIIIYQQ4rlS0idyiScjpS2EEEIIIYQQQohSkxELQgghhBBCCCGeL3oyeePzQkYsCCGEEEIIIYQQotSkY0EIIYQQQgghhBClJrdCCCGEEEIIIYR4vsjkjc+UlLYQQgghhBBCCCFKTUYsCCGEEEIIIYR4vihk8sZnSUYsCCGEEEIIIYQQotSkY0EIIYQQQgghhBClJrdCCCGEEEIIIYR4vhjIb+jPknQsiArDSJFR3iEUS7rSuLxDeC509oou7xCKxYCs8g6hSIqLB8o7hCLdaPhyeYdQLAcWhJR3CEUyMTEs7xCK9Eb7hPIOoVgUKMs7BPEM6UN9K6n494TrQznqC32obyGKSzoWhBBCCCGEEEI8X+Rxk8+UlLYQQgghhBBCCCFKTUYsCCGEEEIIIYR4vhjIrSbPkoxYEEIIIYQQQgghRKlJx4IQQgghhBBCCCFKTW6FEEIIIYQQQgjxfJHJG58pKW0hhBBCCCGEEEKUmoxYEEIIIYQQQgjxfFHI5I3PkoxYEEIIIYQQQgghRKlJx4IQQgghhBBCCCFKTW6FEEIIIYQQQgjxfDGQ39CfJSltIYQQQgghhBBClJqMWBBCCCGEEEII8XyRyRufKRmxoMNLL73E2LFj1e9dXFyYP3/+M9v+qlWrsLGxeWbbK4xSqWTkyJHY2dmhUCgIDQ0tUD5CCCGEEEIIIf43yYiFYjp58iSVK1cu7zDKxR9//MGqVas4ePAgdevWxd7ensDAQIyNjZ9pHLt3BhG4dTMJ8XE4Obvw3sgP8fTy1pn+3H9nWL70Z8Jv3cSuShX69R9Etx49taY9fOgA338zkxdatmbyV9OfKE6lUsmmX1ex54/feJByH1c3D977YCxOznUKXe/vo4fYsHY59yLv4lCjJm8MeY8XWrfTSPPHzm0EBW4gIT4eRycX3h05Gg8vn+cyxtw4V7I3O876bh6M+GAcjkXEefzoQY04Bw8ZoRHnhXOhBG3dwPVrl0mIj+PzKTNp0erFUsX4+87t2fsbh6NTHYaNHI2HVyOd6c//F8rKpYuJCL+BnZ09fQa8TpfuvTXS/H30EOvXrtAo55atSxdfTozbAzdmx+jC8CJiPKeO8aY6xq7de6n/Hn7rBuvXrSTs2hVioqMYNuIjevYZUOr47No2o+6E4Vj7elGpZjVO9f+QqB37Cl/nxeZ4fP8FFh6upN6NJsx/GeEBGzTSOPTtTINpn2Bez4mHYeFc/moeUUF7Sx1njs7NjHnBwxBzUwXhUVkEHkkjKkGpM30zN0Ne72BaYPkXAQ/JyFT9v5WnEa08jbCzVP26ci8+i72n07kUnlWqGDs2MaS5myFmphARo2THsQyiE3XH6OtqwIB2Bdv0r1alqmN0cVDworchtaoYYFVZwdq96Vy8Vbr4QD/aIX04v0u6r+f/C2XV0kVEhN/E1q4KfQYM1hpjUWVcEvpQjqAfx6Q+xKgv9a0PcerDdVCFppDf0J8lKe1iqlq1Kubm5uUdRrkICwujRo0atG7dGgcHB4yMjLCzs8PS0vKZxXDk0AGWBfzEwEFvMP/Hn/Hw9Mbvq0nEREdpTX/vXiR+X03Gw9Ob+T/+zGsD32DpkkUc++twgbTRUVGsXLYED0/dnRQlsX3Len7bton33h/LN/OWYGNrx/QpE3j08KHOdS5fPMfcOX6079AZ/4XLVf/OmcaVSxfUaY4e3s/KpQvpP+htvl+wlIZejZg5daLOMtD3GFVx/srObZsY/v5Y5swLyI5zfLHibNehC/4LV9CuQxfmzpmqEefjx49xqVOP4e+PLVVcOf5S7+9b+C9YRkMvb76e+rnO/Y26F8nXU7+goZc3/guW0W/Qmyxf8iN/Hz2UJ/7z+GeX89yFy7SWc0ljXLF0EQMGvYX/gqV4eDViRiF1oopxEh5ejfBfsJT+WmJMTU2lukNN3h46Eltbu1LFlZdhZXOSz17m/CfF69Qzc6lN898CiP/rNH8178O1b37Gc95kHPp2VqexadmYJr/O484vQRxp2ps7vwThu34+Ni10XzQWx8uNjWjnY8S2I+n8sPUxyQ+VjOxpimkR/ayPUpX4rXqo8cr5wg6QlKJk9/E05m95zPwtj7l2J4uhXU2pblvyYZztGhnSxsuQ3/7OYPGOdFIeKRnW1RiTImJ8nKZk1q+pGq+8MZoYKbgXr+S3vzNKHJM2Fb0d0ofzu6T7GnUvkplTJ9LQqxHfL1hK/0FvsWLJgnwxFl3GJaEP5Zijoh+T+hCjvtS3vsRZ0a+DhMirQnQsbNmyBW9vb8zMzKhSpQqvvPIKDx48YOjQofTp0wc/Pz+qVauGlZUVo0aNIi0tTb2uUqnk22+/pW7dupiZmeHj48OWLVs08r9w4QLdu3fHwsKC6tWr8/bbbxMbG6v++4MHDxgyZAgWFhbUqFEDf3//AjHmvxVCoVCwbNky+vbti7m5Oa6uruzYsUNjnR07duDq6oqZmRkvv/wyq1evRqFQkJiYWOyy+fPPP2nYsCEWFhZ07dqVyMhI9d9OnjxJp06dsLe3x9ramvbt2/Pvv/9qrJ+UlMTIkSPV5dehQwfOnDmj/ntOGec1duxYXnrpJfXfx4wZQ3h4OAqFAhcXF6DgrSKRkZH06NEDMzMz6tSpw6+//lqmt48EbdvKK5270rlrdxydnBkx6kPsq1Zj967ftKb/Y/dOqlarxohRH+Lo5Eznrt15pVNXtgVu1kiXmZmJ/3ezGPzWOzjUqPHEcSqVSnYGbab/oLdp2aYdTi51GTN+EqmpqRw5pPuX0p1BW/Bp0pR+A9+itqMz/Qa+hbdPU3YG5cb727ZNdOjcnVe6vEptJxeGjRxDFfuq/Lk76LmLMSfOXUGb6TfobVq2aZ8d55fZce7Rud6uoM00atKMfgPfolaeOHflidO3WUsGDxlByzbtSxxXXr9t20zHzt3p1OVVajs5M3zkGKrYV9O5v3/u3oF91WoMHzmG2k7OdOryKh06dSMocGNunkFb8GnSjP4D36S2ozP9B76Jt48vO4O2aM2zKDvUMfbA0cmZ4SNHU8W+Gn/s3qE1fW6Mo3F0cqZTlx506NSN7YGb1GlcG7gzdPj7vNi+A0ZlMHIp5s/DXJk6n3vbdddrXs4jX+dxeCQXJswi5dJ1IlZsIWJVIHXHD1OnqTPmHWL3HiPs2wAeXL5O2LcBxO4/jsuYd54o1hcbGbPvdDrnbmRyL17Jhv1pmBgpaOJa9ADA+480X3lduJXJpfAsYpOUxCYp+eOfdNLSwbl6yT+mW3sacvBMJudvZRGVoGTzoQyMjaBx3cLzUioh5ZHmK68rt7PYc1qV75PSh3ZIH87vku5r8O4g7KtWY9jIMdR2cuGVLq/SoVN3dgTmjvYpThmXLMaKX46gH8ekPsSoL/WtD3Hqw3WQEHmVe8dCZGQkgwcPZtiwYVy8eJGDBw/Sr18/lErVkM19+/Zx8eJFDhw4wPr169m2bRt+fn7q9adMmcLKlSv56aefOH/+POPGjeOtt97i0KFD6vzbt29P48aNOXXqFH/88QdRUVEMHDhQncdnn33GgQMH2LZtG8HBwRw8eJDTp08XGbufnx8DBw7k7NmzdO/enTfffJP4+HgAbt68yYABA+jTpw+hoaGMGjWKyZMnl6hsHj58yPfff8/atWs5fPgw4eHhfPrpp+q/379/n3feeYcjR45w/PhxXF1d6d69O/fv3wdUDVKPHj24d+8eu3fv5vTp0/j6+tKxY0d1nEX54YcfmD59OrVr1yYyMpKTJ09qTTdkyBDu3r3LwYMH2bp1KwEBAURHR5dof3VJT0/n2rUrNPFtprG8SZOmXLqovRf40sULNGnSVDN902Zcu3qFjIzcX9s2rl+HtbUNnbt0K5NYo+5FkpgQj0+eWI2NTfD08uHyxXM617ty6Tw+TZprLGvs25zLF88DqjIIu3aFxvnS+Pg2LzRffY0RIFodZ25+xsYmeJQiTh/fFqWKoTCq/b2stUwuZZeJttga++ZP34Kwq5fVx+WVS+cLlGET3xY68yw6xis0bqJ57jT2bcYlHeVx+dIFGuc/13yba8RY3mxaNiZm71GNZTHBR7Bu6oXCSPUF37ZlY2L3/qWRJnbPEWxbNSn1du0sFVhVVnD5du7P+JlZEHY3ExeHwj9OTYxh8luVmPJ2JYZ1M6Wmve6RCAoFNK5viIkx3Ioq2Zd4W0uwMldw9U7ueplZcONeFk5FdFKYGMNng0yY+LoJQzoZUaPK05v0qqK3Q/p1fhd/Xy9fOq/RpqpibF4gxsLKuOQxVuxyzFHRj0l9iFFf6ltf4qzo10F6wcCg/F7/g8p9joXIyEgyMjLo168fzs7OAHh75w5JNzExYcWKFZibm+Pp6cn06dP57LPPmDFjBo8ePWLu3Lns37+fVq1aAVC3bl3++usvlixZQvv27fnpp5/w9fVl1qxZ6jxXrFiBo6MjV65coWbNmixfvpw1a9bQqVMnAFavXk3t2rWLjH3o0KEMHjwYgFmzZvHjjz/yzz//0LVrV37++Wfc3Nz47rvvAHBzc+PcuXPMnDmz2GWTnp7Ozz//TL169QAYPXo006fnDhXu0KGDRvolS5Zga2vLoUOHePXVVzlw4AD//fcf0dHRmJqq7u/9/vvv2b59O1u2bGHkyJFFxmBtbY2lpSWGhoY4ODhoTXPp0iX27t3LyZMnadZM9WG3bNkyXF1ddeabmppKamqqxrK01FRMTAveh5ycnERWVhY2NraasdnakpigvYMkMSEea1vN9DY2tmRmZpKcnISdXRUunD/Hnj9/54eFS3TGWVI58djYaA4Pt7axJSZG93DCxIR4bPLHm2f/7icnkZWViXW+fG1sdJeBPscIkJAQpzVOGxs7YmLulTrOsnJf13FZyP4mJMTT2Kbw41LbsVvYsV6aGFV1kqAzxiZFxFjeTKvbkxoVq7EsLToOA2NjTOxtSb0Xg6mDPalRcRppUqPiMHWoWurtWpqrvmin5BuBmvIIbC10fwmPTlSycX8akfFZVDJR8KK3EaP7VGLu5sfEJuXOe+Bgp2BMv0oYGUJaOqz6I7XQuRu0xmiWHeMjzfVSHoFNITHGJCrZejiDewlKKhmrRj2MetWYH7elE5dcshiKo6K3Q/pzfpdsXxMT4rXskx2ZmZncT07CNjvGsmpD9aEcc1T0Y1IfYtSX+taXOCv6dZAQ+ZV7x4KPjw8dO3bE29ubLl260LlzZwYMGIBt9gnh4+OjMbdBq1atSElJISIigujoaB4/fqzuEMiRlpZGkyaqX6VOnz7NgQMHsLCwKLDtsLAwHj16RFpamrpjAsDOzg43N7ciY2/UKPde3cqVK2Npaan+lf7y5cs0b67ZW9iiRYsi88zL3Nxc3akAUKNGDY1RANHR0Xz11Vfs37+fqKgoMjMzefjwIeHh4YBq31NSUqhSRfOLwKNHjwgLCytRLIW5fPkyRkZG+Pr6qpfVr19fXYfazJ49W2PkCcBHY8Yy5pPxOtdR5H9kjFJZ6GNk8v8lZxSMAgUPHz5k7vdzGP3xeKysrXXmUZTDB/awZGHurTNfTpujPVaUKApEVHjEqt3TXKatCIp6lI4+xKiKM5iAPHFOmvaN9vyKEWf+vyuVSi37Wza0HZeFbSp/eiU5x2WeNFrjf6Ig84dYyhgr0GOblPm+7ObEnHe5tjT5lxWiiashA9qbqN8v36XqDM0pD41wCsknPCqL8KjclDcj0xj7WiXaeBkRdDRdnS4mUcncTY8xM1XgXVc14eNPQY8L7VzwqWdAnza5H+VrgtO1BlTU8RMRoyQiJnelW1EZfNTHmFYeBuw8nlnImsWjL+1QgS3pwfld0n3VVuZaUhXI80na0IpYjvpwTOpDjFq3VAHruzjbLe849fU6qEL7X9znclTuHQuGhobs2bOHY8eOERwczI8//sjkyZM5ceJEoespFAqyslRDPXft2kWtWrU0/p7zC31WVhY9e/bkm2++KZBHjRo1uHr1aqljz/9UhLwxaTuBlSW4oNWVf948hg4dSkxMDPPnz8fZ2RlTU1NatWqlnoMiKyuLGjVqcPDgwQJ55zzK0sDAoEBc6enpBdIXRtd+Fba/kyZNYvx4zU6EW7e13zphZWWNgYEBCfl6WpMSEwv0NuewsbUr8ItsUlIihoaGWFpZEX7rJtFR95jhN6VAvH1e7cxPS1dRo0ZNnfHnaP5CG1zdGqrf55RdQkIctnl+2U1KTCzQe1ww3vz7l4B19v5ZWlljYGBYME1Sgs4y0KcYVXG2xdXNQ/0+Qx1nPLZ29prbLCJObceKdTFiKAlLXcdlUmKBX31y2Gotw5zjUtXBpa2ckxN151mcGLXVia7ysNVRfjnnTkWQGhVbYOSBSVU7stLTSYtLVKW5F4upg71GGtNqdgVGOhTmws1M5kY9Vr83MlT9a2mu4P7D3PbNwqzgCIHCKIGI6Cyq2mgOlczMInt0gJLbMVk4VjOgrbcRWw/rbpMvhmcREZ0775CRoepzx8Jcwf08MVWuVPIY78QqqWJlADx5x4K+tEM59Of8Ltm+am8fE4qMMW8ZlzzGilmO+nBM6kOMeVXk+taHOPXtOkiI/CrEDSAKhYI2bdrg5+dHSEgIJiYmbNu2DYAzZ87w6FHuDFLHjx/HwsKC2rVr4+HhgampKeHh4dSvX1/j5ejoCICvry/nz5/HxcWlQJrKlStTv359jI2NOX78uHobCQkJXLly5Yn2yd3dvcB8BKdOnXqiPPM7cuQIH3/8Md27d8fT0xNTU1ONSSl9fX25d+8eRkZGBfbd3l7VQFWtWlVjQkiA0NDQEsXh7u5ORkYGISEh6mXXrl0rdJJKU1NTrKysNF7aboMAVQdL/foNCA3RnPciNOQ07g09tK7j3tCjQPqQf09R37UBRkZG1HZ04sfFS/lh4RL1q8ULrfBu1JgfFi7B3r54w6XNzM2pUbO2+uXo5IKNrR1nQ3LrOj09nfPnzuDW0EtnPg3cPTkTqnl8nAk5iVtDT3UZ1KvfgDMhmmnOhpwqNF99iVFbnLV1xHmhGHGeDdU891RxFh1DSaj2163A/p4JOYV7dploi61g+pPUc3XDKHtuAG3lHBpyUmeeRcdYsE7OhJzGXUd5uLl7cKbAuXZKI8bylng8FPuOrTWWVe3UlqTT51Bm3+uacDwU+45tNNLYv9KWhL9DKK7UdNUX/ZxXVIKS5AdKGtQ2VKcxNIB6NQ25ea9kcyHUsleQ/KDwL/oKcjsKdElLh/j7ua/oRCXJD5XUr5n78W5oAHUcDAgv4XwNNew0OyeehL60Qzn0+fwubF/d3D01yjxn+0XFmLeMSx5jxSxHfTgm9SHGvCpyfetDnPp2HSREfuXesXDixAlmzZrFqVOnCA8PJzAwkJiYGBo2VPXQpqWlMXz4cC5cuMDvv//O1KlTGT16NAYGBlhaWvLpp58ybtw4Vq9eTVhYGCEhISxatIjVq1cD8NFHHxEfH8/gwYP5559/uH79OsHBwQwbNozMzEwsLCwYPnw4n332Gfv27ePcuXMMHToUgyecdGPUqFFcunSJiRMncuXKFTZt2sSqVauAJxtOmFf9+vVZu3YtFy9e5MSJE7z55puYmZmp//7KK6/QqlUr+vTpw59//snNmzc5duwYU6ZMUXdydOjQgVOnTrFmzRquXr3K1KlTOXeuZJO7uLu788orrzBy5Ej++ecfQkJCGDlyJGZmZmW2r7379mfPn7+zJ/h3IsJvsSxgMTEx0XTr3hOA1SuXMe/7Oer0Xbu/SnR0NMsDfiIi/BZ7gn9nb/Af9O33GqCau8PZpY7Gq7KFBWZmZji71CkwWqS4FAoFr/Z+ja2bfuHEscOE37zOwnmzMTU15cX2r6jTLfCfybpVAer3PXoN4My/p9i2+VduR9xi2+ZfORt6mld7v6ZO07PvQPYF72Jf8C5uh99kZcBCYmOi6dy913MXY06cPXq/RuCmdeo4F6njzL39aYH/TH5ZlTtPRnd1nL9wJ+IW2zb/wn+hp+iRJ85Hjx5yI+wqN8JUI5ai7kVyI+xqiR+r1bPva9n7u5vb4bdYEbCQ2Jgo9f6uWxXAD/6587t06d6LmOgoVi5dxO3wW+wL3s2+4N307jdInebVXv0J/fckgdnlHKgu5wElK8Bsvfq+xt7g3ewN3k1E+C1WBCwiNiaKLtnnztpVS7XGuGLpIiLCb7E3O8Y+/XInvE1PT+dG2DVuhF0jIyODuLhYboRdI/LunVLFaFjZHCsfd6x83AEwr1MbKx93KjmqntTi9vV4fFbmjjq7FbABM+eaNPzuCyzc61J7aH8c3+3P9bkr1GluLlyDfac21P10BJXd6lL30xHYd2zFzR9XlyrGHEfOptPR1xivOoY42CkY1MGEtAwlIVdzJ7Z8vYMJ3V7IbUM6NTOigaMBdpYKalZRMPAlE2pWMeDvC7nrdHvBmDo1DLC1VOBgp6BrC2Pq1TTg3zz5Ftex85m85GOIh7MB1W0VDGhnRHoGhF7P7VgY0M6Izs1yO0g6NDHEtZYCW0tVh0K/F1WTN/5zMXe0gomR6m817FTtup2F6v/WlUscol60Q/pwfhe1r+tWBbDAP3dup87de2fHuJDb4TfZF7yL/cG76dXvdXWa4pRxyWKs+OUI+nFM6kOM+lLf+hCnPlwHVXgKg/J7/Q8q95+frKysOHz4MPPnzyc5ORlnZ2f8/f3p1q0bGzdupGPHjri6utKuXTtSU1N5/fXXmTZtmnr9GTNmUK1aNWbPns3169exsbHB19eXL7/8EoCaNWty9OhRJk6cSJcuXUhNTcXZ2ZmuXbuqOw++++47UlJS6NWrF5aWlkyYMIGkpKQn2q86deqwZcsWJkyYwA8//ECrVq2YPHkyH3zwgfo2jSe1YsUKRo4cSZMmTXBycmLWrFkaT41QKBTs3r2byZMnM2zYMGJiYnBwcKBdu3ZUr14dgC5duvB///d/fP755zx+/Jhhw4YxZMgQ/vvvvxLFsmbNGoYPH067du1wcHBg9uzZnD9/nkqVKpXJvr7Y/mXu309m46/riI+Px9nFha/8ZlEtez8SEuKJicm9lcLBoQZTp89kWcBP7Nq5A7sqVRgx6iNat21XJvEUps+AwaSlpRKweB4PUlJwdWvIVzO+xyzPXCGxMdEo8jQ67h5ejJ/4Fb+uXc6Gdcup7lCT8ROn0cA9d0RGm3YduJ+cxOb1a0iIj8PJuQ5f+n1DtWraJ9XU9xhVcb5BWloqSxfPVcf5fzP888UZhUGeDix3D2/GTZzK+rXL2Jgd57h8cYZdvcy0SZ+o369ethCAlzp2ZfT4L4sdX9t2HbifnMym9atJiI/HybkOk/Psb0J8HLF5JtSq7lCDKX5zWLF0Eb/v3I5dlSoMHzWGVnke95RTzuvXLmfDuhVUd6jJhIlTNeIvidwY12TH6MIUvzkaMeY9d1Qxzmbl0sX8vjNIa4wJ8XGM/3iE+n1Q4EaCAjfi6e3D13PmlzhG66ZetNq3Vv3e43tVHUSsCeTs8EmY1qiKmWPu42Af3bzNyZ4j8fCfhPMHb5J6N5rz42Zyb1twbox/hxDy5njc/Mbi5vcxD8MiCHljHIn/nC1xfHkdCM3A2EhBvxdNMDOF8Ogslu5MJTXP3Qq2FgqNqRzMTBS81t4ES3MFj9PgTkwWi4NSiYjO/aJvYaZgcAcTrCqr0tyNy2LprlSu3i75ox0Pn83E2BB6tTbCzARuxyhZ+afq8ZU5bPLFWMkE+rQ1xtKM7O0rCdiVzu3Y3ES17BWM6JE750SPlqpLiNNXMtl6pOQdIBW9HdKH87uofVXFqHl+T/b7hpVLF/JHdozDRn2sNcbCyrgk9KEcc1T0Y1IfYtSX+taXOCv6dZAQeSmUJb3x/xkaOnQoiYmJbN++vbxDKRMzZ87k559/JiIiorxDeepu376No6Mje/fupWPHjsVa53KYfpRLurJ0oxmEJmVFmgiwEAaU/Ivds6YodOrAiuFGw5fLO4RiObCg+LdKlBcTE8OiE5WzN9prf+pIRaMP544+tJX6UI6gH2WpD/SlvvVBVvkPHi+Sd/3q5R1CqT3es6rctl2p09By23Z5KfcRC8+zxYsX07x5c6pUqcLRo0f57rvvGD16dHmH9VTs37+flJQUvL29iYyM5PPPP8fFxYV27Z7+CAEhhBBCCCGEEOVHOhaeoqtXr/L1118THx+Pk5MTEyZMYNKkSQB069aNI0eOaF3vyy+/VN/KoS/S09P58ssvuX79OpaWlrRu3Zpffvml1HMVCCGEEEIIIUSpPeGceaJkKvStEM+zO3fuaDztIi87Ozvs7Er3CB19JrdC/G/RlyGpcitE2ZBbIcqO3ApRdvTh3NGHtlIfyhH0oyz1gb7Utz6QWyGersf71pTbtit1HFJu2y4vMmKhnNSqVau8QxBCCCGEEEIIIZ6YdCwIIYQQQgghhHiuKMvosfeieCr++BshhBBCCCGEEEJUWDJiQQghhBBCCCHE80Uhv6E/S1LaQgghhBBCCCGEKDXpWBBCCCGEEEIIIUSpya0QQgghhBBCCCGeL3IrxDMlpS2EEEIIIYQQQohSkxELQgghhBBCCCGeK/K4yWdLRiwIIYQQQgghhBCi1GTEghBCCCGEEEKI54vMsfBMSWkLIYQQQgghhBCi1GTEgqgwMpT6cTgqUJZ3CEXK0oM+QwOyyjuE54Y+1PeBBSHlHUKxvPxxk/IOoUinV50v7xCKpC/ndyaG5R1CkQzJLO8Qnhv60Fbqy7mjD5RU/Pvrpb7F80Q/vskJIYQQQgghhBDFJZM3PlMVv+tWCCGEEEIIIYQQFZaMWBBCCCGEEEII8XwxkN/QnyUpbSGEEEIIIYQQQpSadCwIIYQQQgghhBCi1ORWCCGEEEIIIYQQzxWlTN74TMmIBSGEEEIIIYQQQpSajFgQQgghhBBCCPF8Uchv6M+SlLYQQgghhBBCCCFKTUYsCCGEEEIIIYR4rihlxMIzJaUthBBCCCGEEEKIUpOOBSGEEEIIIYQQQpSa3AohhBBCCCGEEOL5Io+bfKaeixELL730EmPHjlW/d3FxYf78+eUWT0VSnmWhUCjYvn17uWxbCCGEEEIIIcSz8VyOWDh58iSVK1cu7zBEGft953aCAjeQEB+Ho1Mdho0cjYdXI53pz/8Xysqli4kIv4GdnT19BrxOl+69NdL8ffQQ69eu4F7kXRxq1OSNIe/RsvWLz32cSqWSTb+uZO8fv/Eg5T713TwY8cE4HJ3rFLre8aMH2bB2uTqOwUNG8ELrduq/XzgXStDWDVy/dpmE+Dg+nzKTFq1KF6c+lKO+xKmq71Xsya5vVzcP3vtgLE5F1PffRw9p1PcbQ97TqO/z584QtHU9169dya7vr3mhlPWdo3MzY17wMMTcVEF4VBaBR9KISlDqTN/MzZDXO5gWWP5FwEMyMlX/b+VpRCtPI+wsVb9c3IvPYu/pdC6FZxU7Lru2zag7YTjWvl5UqlmNU/0/JGrHvsLXebE5Ht9/gYWHK6l3ownzX0Z4wAaNNA59O9Ng2ieY13PiYVg4l7+aR1TQ3mLHpUt7bwN86yuoZAJ34uD3k5nEJBVvXU9nBf3bGnIpIotNhzXLyNIMOjYxoH5NBcaGEJcMv53IJDK+ZPH9vnM72wM3Zp83Lgwv4rw5pz5vbqrPm67de6n/Hn7rBuvXrSTs2hVioqMYNuIjevYZULKgtNCXtrKil6U+xAj6U98V/TNHH2IE/fhs1JeyrKhk8sZn67ks7apVq2Jubl7eYYgy9Nfh/axcupD+g97Cf8EyGnp58/XUz4mJjtKaPupeJF9P/YKGXt74L1hGv0FvsnzJj/x99JA6zeWL5/Gf40f7Dp2Zu3AZ7Tt0xn/ONK5cuvDcx7l9y6/s3LaJ4e+PZc68AGxs7Zg+ZTyPHj7Uuc7li+eYO8ePdh264L9wBe06dGHunKkacTx+/BiXOvUY/v7YUscG+lOO+hLn9i3r+W3bJt57fyzfzFuSXd8TilXf7Tt0xn/hcq1xpD5+hEud+rz3hPWd4+XGRrTzMWLbkXR+2PqY5IdKRvY0xdS48PUepSrxW/VQ45XTqQCQlKJk9/E05m95zPwtj7l2J4uhXU2pblv8IZKGlc1JPnuZ859ML1Z6M5faNP8tgPi/TvNX8z5c++ZnPOdNxqFvZ3Uam5aNafLrPO78EsSRpr2580sQvuvnY9NC90VjcbT2UNCyoYLfT2Wx7I9MUh4peauDISbF+CnBujJ08jXgVnTBzpxKJvBuZ0OysuDXA5ks3pnJnn+zeJxWsvj+OryfFUsXMWDQW/gvWIqHVyNmTJ1YxHkzCQ+vRvgvWEp/LedNamoq1R1q8vbQkdja2pUsoELoQ1tZ0ctSH2LMoQ/1XdE/c/QhxhwV/bNRn8pSCChFx8KWLVvw9vbGzMyMKlWq8Morr/DgwQOGDh1Knz598PPzo1q1alhZWTFq1CjS0nKvOJRKJd9++y1169bFzMwMHx8ftmzZopH/hQsX6N69OxYWFlSvXp23336b2NhY9d8fPHjAkCFDsLCwoEaNGvj7+xeIMf/wf4VCwbJly+jbty/m5ua4urqyY8cOjXV27NiBq6srZmZmvPzyy6xevRqFQkFiYmKRZbJq1SpsbGzYuXMnbm5umJubM2DAAB48eMDq1atxcXHB1taWMWPGkJmZe7W7bt06mjVrhqWlJQ4ODrzxxhtER0er/37w4EEUCgX79u2jWbNmmJub07p1ay5fvlwg9mbNmlGpUiXs7e3p16+fxt8fPnzIsGHDsLS0xMnJiYCAAPXfbt68iUKhYNOmTbz44ouYmZnRvHlzrly5wsmTJ2nWrBkWFhZ07dqVmJgY9XonT56kU6dO2NvbY21tTfv27fn333+LLKvS+m3bZjp27k6nLq9S28mZ4SPHUMW+Gn/uDtKa/s/dO7CvWo3hI8dQ28mZTl1epUOnbgQFbszNM2gLPk2a0X/gm9R2dKb/wDfx9vFlZ9AWrXk+L3EqlUp2BW2m36C3admmPU4udRkz/ktSU1M5cmiPzvV2BW2mUZNm9Bv4FrUcnek38C28fZqyK2izOo1vs5YMHjKClm3alyq2HPpQjvoSp1KpZGfQZvoPepuWbdpl1/ek7PrW/cv4zqAt+DRpSr+Bb1E7T33vzFffbwx5j5Zt2unMpyRebGTMvtPpnLuRyb14JRv2p2FipKCJa9HfiO8/0nzldeFWJpfCs4hNUhKbpOSPf9JJSwfn6sX/CIz58zBXps7n3nbd50heziNf53F4JBcmzCLl0nUiVmwhYlUgdccPU6epM+YdYvceI+zbAB5cvk7YtwHE7j+Oy5h3ih2XNi+4G3DkXBaXIpTEJEHQ31kYG4GXS+EdKQoF9G1tyMGzWSTcL9ix0MbDgOSHsON4FnfjIOkB3IhSkpBSsvh2qM+bHjg6OTN85Giq2Ffjj907tKbPPW9G4+jkTKcuPejQqRvbAzep07g2cGfo8Pd5sX0HjIyL6IkqJn1oK/WhLPUhRtCP+taHzxx9iBH047NRX8pSiBwl6liIjIxk8ODBDBs2jIsXL3Lw4EH69euHUqm6ANm3bx8XL17kwIEDrF+/nm3btuHn56def8qUKaxcuZKffvqJ8+fPM27cON566y0OHTqkzr99+/Y0btyYU6dO8ccffxAVFcXAgQPVeXz22WccOHCAbdu2ERwczMGDBzl9+nSRsfv5+TFw4EDOnj1L9+7defPNN4mPV43dvHnzJgMGDKBPnz6EhoYyatQoJk+eXJKi4eHDhyxYsIANGzbwxx9/qMtm9+7d7N69m7Vr1xIQEKDRkZKWlsaMGTM4c+YM27dv58aNGwwdOrRA3pMnT8bf359Tp05hZGTEsGG5F6a7du2iX79+9OjRg5CQEHUnRF7+/v40a9aMkJAQPvzwQz744AMuXbqkkWbq1KlMmTKFf//9FyMjIwYPHsznn3/ODz/8wJEjRwgLC+Orr75Sp79//z7vvPMOR44c4fjx47i6utK9e3fu379fonIrjvT0dMKuXcanSXON5Y19m3Pp4nmt61y5dJ7GvvnTtyDs6mUyMjJy0+TLs4lvC515Pi9xRt+LJDEhHp882zU2NsHDy4fLF8/pXO/KpfMF9s3Ht0Wh65SGvpSjvsQZpa7v3HbB2NgEz1LUd2Pf5lwuZRxFsbNUYFVZweXbuZ2vmVkQdjcTF4fCP6pMjGHyW5WY8nYlhnUzpaa97i/QCgU0rm+IiTHciir+rRAlZdOyMTF7j2osiwk+gnVTLxRGqo4S25aNid37l0aa2D1HsG3VpPTbtQBLMwXXI3M7BjKz4FaUEseqhXcstPMy4GGqktAw7beeNKit4G6ckgFtDZjQ35AR3QxpUq9kE2OpzpsrNG6i+TnV2LcZl3Qcj5cvXaCxr2b6Jr7NNc6bp0E/2sqKXZb6EGMO/ajviv2Zow8x5qjon436VJYVmkJRfq8SWrx4MXXq1KFSpUo0bdqUI0eO6EwbGBhIp06dqFq1KlZWVrRq1Yo///xTI82qVatQKBQFXo8fPy5xbMVVojkWIiMjycjIoF+/fjg7OwPg7e2t/ruJiQkrVqzA3NwcT09Ppk+fzmeffcaMGTN49OgRc+fOZf/+/bRq1QqAunXr8tdff7FkyRLat2/PTz/9hK+vL7NmzVLnuWLFChwdHbly5Qo1a9Zk+fLlrFmzhk6dOgGwevVqateuXWTsQ4cOZfDgwQDMmjWLH3/8kX/++YeuXbvy888/4+bmxnfffQeAm5sb586dY+bMmcUum/T0dH766Sfq1asHwIABA1i7di1RUVFYWFjg4eHByy+/zIEDBxg0aBCARgdB3bp1WbBgAS1atCAlJQULCwv132bOnEn79qpe7i+++IIePXrw+PFjKlWqxMyZM3n99dc1OnB8fHw0YuvevTsffvghABMnTmTevHkcPHgQd3d3dZpPP/2ULl26APDJJ58wePBg9u3bR5s2bQAYPnw4q1atUqfv0KGDxjaWLFmCra0thw4d4tVXXy12uRXH/eQksrKysLGx1VhubWNLYoL2G3sTEuJpnC+9jY0tmZmZJCcnYWdXhcSEeKxt8+VpqzvP5yXOhIS47O1oDh+1sbEjJuaezvUSE+KxyReHzRPEoYu+lKO+xJmzXv76traxJSZG+3DKnPWeRX3nsDRXfQin5BuBmvIIbC10f0BHJyrZuD+NyPgsKpkoeNHbiNF9KjF382Nik3K/IDvYKRjTrxJGhpCWDqv+SC107oYnZVrdntSoWI1ladFxGBgbY2JvS+q9GEwd7EmNitNIkxoVh6lD1VJv16KS6t+UfNcNKY/BppCphxyrQpP6CpbsztSZxtYCmjVQcPyikr/OZ1KzioKuzQzIzMri7I3ilaWu88bGxpbEhASt6yQkxNOkiPPmadDXtrIilaU+xJi7Xf2s74r0maMPMeao6J+N+lSW4slt3LiRsWPHsnjxYtq0acOSJUvo1q0bFy5cwMnJqUD6w4cP06lTJ2bNmoWNjQ0rV66kZ8+enDhxgiZNcn+csLKyKjDSvVKlSk9tP0rUseDj40PHjh3x9vamS5cudO7cmQEDBmCbfYD6+PhozG3QqlUrUlJSiIiIIDo6msePH6s7BHKkpaWpC+D06dMcOHBA40t1jrCwMB49ekRaWpq6YwLAzs4ONze3ImNv1Cj3ntXKlStjaWmpvu3g8uXLNG+u2XvXokWLIvPMy9zcXN2pAFC9enVcXFw09qV69eoatzqEhIQwbdo0QkNDiY+PJytL9etZeHg4Hh4eWmOvUaMGANHR0Tg5OREaGsqIESMKjS3v+gqFAgcHB4048qepXr06oNlplD/26OhovvrqK/bv309UVBSZmZk8fPiQ8PDwQmPJkZqaSmpqqsaytNRUTEwLTsKWN3YNSmWhHYL50ytRXfjmXaogX5oi8iyOihbn4QPBBCzMvWVo0rRvsrebL0yUBbZTIFatcTydR/lUtHIs7nbLO87DB/awJE99fzltjvY4i1HfFIhDWz6l08TVkAHtTdTvl+9KzY6q4BfUwr6yhkdlER6Vm/JmZBpjX6tEGy8jgo6mq9PFJCqZu+kxZqYKvOuqJnz8KejxU+1cQJkv75yyy7tcW5r8ywrh5aLg1Ra5IzrWH8zuGNCWrY48TIygT2tDdp7I4lGqjkSojoa78bD/jOqz6l6CkqrWSpq5GnD2hu4OCe2ZaTu2Ckuu67wpu/ZHX9vKiliWWjaquc0KEKO+1ndF+8zRlxj15bOxwJYqYFnqFT2ZvHHu3LkMHz6c9957D4D58+fz559/8tNPPzF79uwC6fM/8W/WrFkEBQXx22+/aXQs5Hzve1ZK1LFgaGjInj17OHbsGMHBwfz4449MnjyZEydOFLqeQqFQf2netWsXtWrV0vi7afaXyaysLHr27Mk333xTII8aNWpw9erVkoSrwTjfPXh5Y9L2AaAswYWdrvwL2+aDBw/o3LkznTt3Zt26dVStWpXw8HC6dOmiMS9F/rxz4szJx8zMrFSx5axf2DbyL8u7ztChQ4mJiWH+/Pk4OztjampKq1atCsSuy+zZszVGWQB8MGY8H338aYG0llbWGBgYkJCvNzUpKRFrG+2TNtna2hXofU1KTMTQ0BBLK2sAbLSkSU7UnWdRKmqczV9oi6tbbkdVRrrqy1ZCQjy2dvZ5tptQoBc7Lxtbu4L7lpiItY3udUqjopajvsTZ/IU2uLo1VL9PV9d3HLZ5fulLSkws8KtLXtriSEpMKLP6vnAzk7lRuT+rGxmq/rU0V3D/YW77a2EGKY+K3x4rgYjoLKraaF5MZGZBXLISUHI7JgvHaga09TZi6+F0rfk8qdSo2AIjD0yq2pGVnk5aXKIqzb1YTB3sNdKYVrMrMNKhMFduK1kSm/ulPqccLcw0Ry1UNoUHOkY/2lqqRoW83j63zHI+EqcMNmTRb5kkpMD9xxCTpFkXsclKGjoV/4o057wpcGwl6T62bHW0ParzxqrY2y6KvraVFbEs9SFGfa3vivaZoy8x6stnY46KXJaieLT9iGpqaqr+3psjLS2N06dP88UXX2gs79y5M8eOHSvWtrKysrh//z52dpr1mJKSgrOzM5mZmTRu3JgZM2ZodDyUtRJ34ygUCtq0aYOfnx8hISGYmJiwbds2AM6cOcOjR7mzZh0/fhwLCwtq166Nh4cHpqamhIeHU79+fY2Xo6MjAL6+vpw/fx4XF5cCaSpXrkz9+vUxNjbm+PHj6m0kJCRw5cqVJyoEd3d3Tp48qbHs1KlTT5RnUS5dukRsbCxz5szhxRdfxN3dvcAoguJo1KgR+/YV/sizp+HIkSN8/PHHdO/eHU9PT0xNTTUm2SzKpEmTSEpK0niNGDVGa1pjY2Pq1XfjTIhmnZwJOYV7Q0+t6zRw99SS/iT1XN0wyr6/uYG7J2dCNdOEhpzUmWdRKmqcZubm1KhZW/2q7eSCja0dZ/NsNz09nQvnzuDW0EtnPg3cPTkbqnmenAk5Weg6pVFRy1Ff4sxf34466vt8Meo7fxyq+i5deeWXmq76op/zikpQkvxASYPahuo0hgZQr6YhN++VbC6EWvYKkh8U3hmhAIwMn95PNInHQ7Hv2FpjWdVObUk6fQ5l9r2uCcdDse/YRiON/SttSfg7pNjbScuAhJTcV0wS3H+kpG6N3H0zMADn6goiYrSXSWwS/LQzgyW7M9Wvy7eV3IxSsmR3JknZt6dExCixt9IssyqWCpIeFDvc7POmgZbz4DTuOo5HN3cPzoRozqUUGnJK47wpC/rZVlbMstSHGPWzviveZ46+xKgvn405KnJZ6hOlQlFur9mzZ2Ntba3x0jb6IDY2lszMTPWI8RzVq1fn3j3dt2Hl5e/vz4MHDzTmJXR3d2fVqlXs2LGD9evXU6lSJdq0afNEP9QXpUQdCydOnGDWrFmcOnWK8PBwAgMDiYmJoWFDVQ9gWloaw4cP58KFC/z+++9MnTqV0aNHY2BggKWlJZ9++injxo1j9erVhIWFERISwqJFi1i9ejUAH330EfHx8QwePJh//vmH69evExwczLBhw8jMzMTCwoLhw4fz2WefsW/fPs6dO8fQoUMxMHiyYS6jRo3i0qVLTJw4kStXrrBp0yb1fAJPa2iTk5MTJiYm/Pjjj1y/fp0dO3YwY8aMEuczdepU1q9fz9SpU7l48SL//fcf33777VOIWFP9+vVZu3YtFy9e5MSJE7z55pvFGj2Rw9TUFCsrK41XYbdB9Oz7GvuCd7EveDe3w2+xImAhsTFRdM5+rvW6VQH84J87N0eX7r2IiY5i5dJF3A6/xb7g3ewL3k3vfoPUaV7t1Z/Qf08SuPlXbkfcInDzr5wNPc2rvUv/LGx9iFOhUNCj92sEblrHiWOHCb95nUXzZmNqasqL7XNvVVrgP5NfVi1Rv+/eawBn/j3Fts2/cCfiFts2/8J/oafo0fs1dZpHjx5yI+wqN8JUjVbUvUhuhF3V+WgkXfShHPUlToVCwau9X2Prpl/U9b1QXd+vqNMt8J/JulW5T4zpoa5vVRzb1HHoru/oUtZ3jiNn0+noa4xXHUMc7BQM6mBCWoaSkKu5E7a93sGEbi/kjqbq1MyIBo4G2FkqqFlFwcCXTKhZxYC/L+Su0+0FY+rUMMDWUoGDnYKuLYypV9OAf/PkWxTDyuZY+bhj5aOam8a8Tm2sfNyp5Ki6Pc3t6/H4rMwdbXcrYANmzjVp+N0XWLjXpfbQ/ji+25/rc1eo09xcuAb7Tm2o++kIKrvVpe6nI7Dv2IqbP64ueeHlceJSFm09DXCrraCqNfRuZUB6Bpy7mdux0LuVAR0aqz47M7NUHRJ5X4/TVJ0/MUmQM1jtxMUsatlDW08Fthaq2zB8XRWcvFKyjp9efV9jb/Bu9gbvJiL8FisCFhEbE0WX7j0BWLtqqdbzZsXSRUSE32Jv9nnTp1/uBVR6ejo3wq5xI+waGRkZxMXFciPsGpF375S2GPWirdSHstSHGEE/6lsfPnP0IUbQj89GfSlLoZ22H1EnTZqkM7220fPF+R66fv16pk2bxsaNG6lWrZp6ecuWLXnrrbfw8fHhxRdfZNOmTTRo0IAff/yx9DtVhBJ1/VpZWXH48GHmz59PcnIyzs7O+Pv7061bNzZu3EjHjh1xdXWlXbt2pKam8vrrrzNt2jT1+jNmzKBatWrMnj2b69evY2Njg6+vL19++SUANWvW5OjRo0ycOJEuXbqQmpqKs7MzXbt2VXcefPfdd6SkpNCrVy8sLS2ZMGECSUlJT1QIderUYcuWLUyYMIEffviBVq1aMXnyZD744IMCw1XKStWqVVm1ahVffvklCxYswNfXl++//55evXqVKJ+XXnqJzZs3M2PGDObMmYOVlRXt2pXNo98Ks2LFCkaOHEmTJk1wcnJi1qxZfPppwdsYykrbdh24n5zMpvWrSYiPx8m5DpP9vqFaNdV9QwnxccTmmWynukMNpvjNYcXSRfy+czt2VaowfNQYWuV51JO7hxfjJ37F+rXL2bBuBdUdajJh4lQauHsU2P7zFmefAW+QlpbK0sVzeZCSgqtbQ/5vhj9meeZIiY2JwiBPg+bu4c24iVNZv3YZG9ctp7pDTcZNnKYRR9jVy0yb9In6/eplCwF4qWNXRo//stjx6Us56kucfQYMJi0tlYDF89T1/dWM7/PVdzSKPPci5sTx69rlbMiu7/Fa6nvqpLHq96uWLQJU9T1mvO4PT10OhGZgbKSg34smmJlCeHQWS3emkprnbgVbC4XGFARmJgpea2+CpbmCx2lwJyaLxUGpRETnftm1MFMwuIMJVpVVae7GZbF0VypXbxf/C7F1Uy9a7Vurfu/xvep4jlgTyNnhkzCtURWz7E4GgEc3b3Oy50g8/Cfh/MGbpN6N5vy4mdzbFqxOk/B3CCFvjsfNbyxufh/zMCyCkDfGkfjP2ZIUWwHHLigxNlTSvYUBZiZwJxbW7c8kLU8/inVlRYlv+bsbD5sOZ9GhsQHtvFUjJP48laXRYVEcuefNmuzzxoUpfnM0zpuYmNwRfKrzZjYrly7m951BWs+bhPg4xn+cO99QUOBGggI34untw9dz5pcovrz0p62suGWpDzHm0J/6rrifOfoQY46K/tmoT2UpCtJ224M29vb2GBoaFhidEB0dXWAUQ34bN25k+PDhbN68mVdeeaXQtAYGBjRv3vypjlhQKEt6ZaHD0KFDSUxMZPv27WWRXbmbOXMmP//8MxEREeUdyv+M89ciyzuE50ZWye9yeuYMeHqP+vtfo3yak66VkVV7yv7+7afh5Y+f3r2HZeX0qor/WLABL5T81r7ykIlh0YnKmSElnBhT6KQP9S2fjWVHHz4bFYVOT1wxeNavUXSiCir53z3ltm0r305FJ8r2wgsv0LRpUxYvXqxe5uHhQe/evbXePgGqkQrDhg1j/fr19OnTp8htKJVKWrRogbe3NytWrCgyfWmU/Q11emrx4sU0b96cKlWqcPToUb777jtGjx5d3mEJIYQQQgghhHhOjR8/nrfffptmzZrRqlUrAgICCA8P5/333wdUt1XcuXOHNWvWAKpOhSFDhvDDDz/QsmVL9WgHMzMzrK1VE3X6+fnRsmVLXF1dSU5OZsGCBYSGhrJo0aKnth/SsZDt6tWrfP3118THx+Pk5MSECRPU98F069aNI0eOaF3vyy+/VN/KIYQQQgghhBCi/OnDqBWAQYMGERcXx/Tp04mMjMTLy4vdu3fj7OwMQGRkJOHh4er0S5YsISMjg48++oiPPvpIvfydd95RzxOYmJjIyJEjuXfvHtbW1jRp0oTDhw/TokWLp7YfZXYrxPPszp07Gk+7yMvOzq7Aoz1E6citEGVHboX436IPH5xyK0TZkVshyo4+DI2XWyHKjj7Ut3w2lh19+GyUWyGerqR/95bbtq19C5/z4HkkIxaKoVatWuUdghBCCCGEEEIIUSFJx4IQQgghhBBCiOeKUlHxR/A+T6S0hRBCCCGEEEIIUWoyYkEIIYQQQgghxPNFRiw8U1LaQgghhBBCCCGEKDXpWBBCCCGEEEIIIUSpya0QQgghhBBCCCGeK0pFxX/k6PNERiwIIYQQQgghhBCi1GTEghBCCCGEEEKI54o8bvLZktIWQgghhBBCCCFEqcmIBSGEEEIIIYQQzxeZY+GZkhELQgghhBBCCCGEKDUZsSAqjNQsk/IOoVhMDNLLO4QiGZBV3iEUSYGyvEMolkwMyzuEIulDWZqYVPxyBDi96nx5h1CkpkM9yzuEImVdPFTeIRSLIZnlHUKR9KEN0hf6UN9ZevCbnxL9+BVYH66FhHieSMeCEEIIIYQQQojnikze+GxJaQshhBBCCCGEEKLUZMSCEEIIIYQQQojnir7ctvO8kBELQgghhBBCCCGEKDXpWBBCCCGEEEIIIUSpya0QQgghhBBCCCGeKzJ547MlpS2EEEIIIYQQQohSkxELQgghhBBCCCGeLwqZvPFZkhELQgghhBBCCCGEKDUZsSCEEEIIIYQQ4rmilN/QnykpbSGEEEIIIYQQQpSadCwIIYQQQgghhBCi1ORWCCGEEEIIIYQQzxWlTN74TMmIBSGEEEIIIYQQQpSadCw8oZdeeomxY8eq37u4uDB//vxyi6ek8scvhBBCCCGEEPpOqTAot9f/IrkVooydPHmSypUrl3cYpebi4sLYsWMrbGeDUqlk6/rl7PtzBw9SkqnfwJN335+Ao3PdQtc7cfQAm39ZSlTkHarXqMWgt0fRvFV7rWm3b17DxjU/07XXQN4ZMbZUMW76dRV7/viNByn3cXXz4L0PxuLkXKfQ9f4+eogNa5dzL/IuDjVq8saQ93ihdTuNNH/s3EZQ4AYS4uNxdHLh3ZGj8fDyKXGMv+/cnp1PHI5OdRg2cjQeXo10pj//Xygrly4mIvwGdnb29BnwOl2691b/PfzWDTasW0nYtcvEREfx7oiP6NnntRLHlT/G7YEbs2N0YXgRMZ5Tx3hTHWPX7r00Yly/biVh164QEx3FsBEf0bPPgCeKEXLqeyV7s+u7vpsHIz4Yh2MR9X386EGN+h48ZIRGfV84F0rQ1g1cv3aZhPg4Pp8ykxatXnyCGCv2MZmjYxNDmrsZYmYKETFKdhzLIDpRqTO9r6sBA9oZF1j+1apUMjJV/3dxUPCityG1qhhgVVnB2r3pXLyVVeoY23sb4FtfQSUTuBMHv5/MJCapeOt6Oivo39aQSxFZbDqsGYOlGXRsYkD9mgqMDSEuGX47kUlkfPFjs2vbjLoThmPt60WlmtU41f9DonbsK3ydF5vj8f0XWHi4kno3mjD/ZYQHbNBI49C3Mw2mfYJ5PScehoVz+at5RAXtLX5gWujDcakP7ZA+tEH6Eqf+1HfFPm9y46z49V2W10KgKuf1a1dolHPL1qU/b/Thek2IHP+b3SlPUdWqVTE3Ny/vMJ5bv21dx+7tG3h31Hhmzl2Oja0ds74ay6OHD3Suc+XSfyz49ivavtyVOQtW0/blrvzwzRSuXT5fIG3YlQvs/yMIJ5f6pY5x+5b1/LZtE++9P5Zv5i3BxtaO6VMm8OjhQ53rXL54jrlz/GjfoTP+C5er/p0zjSuXLqjTHD28n5VLF9J/0Nt8v2ApDb0aMXPqRGKio0oU31/qfN7Cf8EyGnp58/XUz3XmE3Uvkq+nfkFDL2/8Fyyj36A3Wb7kR/4+ekidJjU1leoONXh76EhsbO1KFI+uGFcsXcSAQW/hv2ApHl6NmFHIvqpinISHVyP8Fyylv84Ya/L20JHYlkGMObZv+ZWd2zYx/P2xzJkXkF3f44tV3+06dMF/4QradejC3DlTNer78ePHuNSpx/D3x5ZBjBX7mMzRrpEhbbwM+e3vDBbvSCflkZJhXY0xKdhvoOFxmpJZv6ZqvHI6FQBMjBTci1fy298ZpYorr9YeClo2VPD7qSyW/ZFJyiMlb3UwxKQY3fTWlaGTrwG3ogt2lFQygXc7G5KVBb8eyGTxzkz2/JvF47SSxWdY2Zzks5c5/8n0YqU3c6lN898CiP/rNH8178O1b37Gc95kHPp2VqexadmYJr/O484vQRxp2ps7vwThu34+Ni10X9wWR0U/LvWlHdKHNkgf4tSf+q7Y501unBW/vsv6WujyxfP4Z5fz3IXLtJZzecdY1tdrQuSlVx0LW7ZswdvbGzMzM6pUqcIrr7zCgwcPGDp0KH369MHPz49q1aphZWXFqFGjSEvLvSJTKpV8++231K1bFzMzM3x8fNiyZYtG/hcuXKB79+5YWFhQvXp13n77bWJjY9V/f/DgAUOGDMHCwoIaNWrg7+9fIMb8t0IoFAqWLVtG3759MTc3x9XVlR07dmiss2PHDlxdXTEzM+Pll19m9erVKBQKEhMTiyyTW7du0bNnT2xtbalcuTKenp7s3r272PuU10svvcStW7cYN24cCoUCRZ4JT44dO0a7du0wMzPD0dGRjz/+mAcPcr/Mu7i4MGvWLIYNG4alpSVOTk4EBAQUGX9JKJVKft+xiT4D36FF65dwdK7HB+P+j7TUxxw9tEfner8HbcK7cXP6vDaEWo4u9HltCJ4+zdi9Y6NGusePHrLQ348RY76gsoVlqWPcGbSZ/oPepmWbdji51GXM+EmkpqZy5JDuX/d2Bm3Bp0lT+g18i9qOzvQb+BbePk3ZGbRZnea3bZvo0Lk7r3R5ldpOLgwbOYYq9lX5c3dQiWL8bdtmOnbuTqcur1LbyZnhI8dQxb6aznz+3L0D+6rVGD5yDLWdnOnU5VU6dOpGUGBu+bk2cOed4R/Qtn1HjI2L+BZYDDvUMfbA0cmZ4SNHU8W+Gn/s3qE1fW6Mo3F0cqZTlx506NSN7YGbNGIcOvx9XmzfAaMyiBFU9b0raDP9Br1Nyzbts+v7y+z61n1M7graTKMmzeg38C1q5anvXXnq27dZSwYPGUHLNtpH1pQkxop+TOZo7WnIwTOZnL+VRVSCks2HMjA2gsZ1C/+oUioh5ZHmK68rt7PYc1qV75N6wd2AI+eyuBShJCYJgv7OwtgIvFwKKsjMyQABAABJREFUnyBKoYC+rQ05eDaLhPsFOxbaeBiQ/BB2HM/ibhwkPYAbUUoSUkoWX8yfh7kydT73tus+/vJyHvk6j8MjuTBhFimXrhOxYgsRqwKpO36YOk2dMe8Qu/cYYd8G8ODydcK+DSB2/3FcxrxTsuDy0IfjUh/aIX1og/QlTn2p74p+3uTEWdHr+2lcC/0WtAWfJs3oP/BNajs603/gm3j7+LIzaIvWPMsjxrK+XqvolCjK7fW/SG86FiIjIxk8eDDDhg3j4sWLHDx4kH79+qFUqi7Q9u3bx8WLFzlw4ADr169n27Zt+Pn5qdefMmUKK1eu5KeffuL8+fOMGzeOt956i0OHDqnzb9++PY0bN+bUqVP88ccfREVFMXDgQHUen332GQcOHGDbtm0EBwdz8OBBTp8+XWTsfn5+DBw4kLNnz9K9e3fefPNN4uNVY1tv3rzJgAED6NOnD6GhoYwaNYrJkycXu1w++ugjUlNTOXz4MP/99x/ffPMNFhYWxd6nvAIDA6lduzbTp08nMjKSyMhIAP777z+6dOlCv379OHv2LBs3buSvv/5i9OjRGuv7+/vTrFkzQkJC+PDDD/nggw+4dOlSsfelKNFRd0lMiMO7SQv1MmNjExp6NebKpf90rnf10jka5VkHwKfJC1y9qLnOip/9adKsNd6Nm5c6xqh7kSQmxOPj20wjRk8vHy5fPKdzvSuXzuPTRHO7jX2bc/mialRFeno6Ydeu0DhfGh/f5oXmm58qn8tat3XpYsERHDmxNfbNn74FYVcvk5Hx5L8Aa4/xCo2bNNNY3ti3GZd07OvlSxdo7KuZvolv86cWY45odX3nlo+xsQkepahvH98WJarL4qrox2QOW0uwMldw9U7ul//MLLhxLwun6oV/VJkYw2eDTJj4uglDOhlRo8rT+UC3sQBLMwXXI3M7BjKz4FaUEseqhW+znZcBD1OVhIZpv62jQW0Fd+OUDGhrwIT+hozoZkiTek//wsSmZWNi9h7VWBYTfATrpl4ojFTDMGxbNiZ2718aaWL3HMG2VZNSb7eiH5f60g7pQxukD3HqS31X9PMmh37Ud9lfC125dL5AGTbxbaEzz/KIUYinSW/mWIiMjCQjI4N+/frh7OwMgLe3t/rvJiYmrFixAnNzczw9PZk+fTqfffYZM2bM4NGjR8ydO5f9+/fTqlUrAOrWrctff/3FkiVLaN++PT/99BO+vr7MmjVLneeKFStwdHTkypUr1KxZk+XLl7NmzRo6deoEwOrVq6ldu3aRsQ8dOpTBgwcDMGvWLH788Uf++ecfunbtys8//4ybmxvfffcdAG5ubpw7d46ZM2cWq1zCw8Pp37+/uizq1s2da6CofWrQoIFGXnZ2dhgaGmJpaYmDg4N6+Xfffccbb7yhnnfB1dWVBQsWqMutUqVKAHTv3p0PP/wQgIkTJzJv3jwOHjyIu7t7gbhTU1NJTU3VWJaWloqJianOfU1KUHXGWNtoDt2ytrEjNvqezvUSE+O0rpOYkHvj8rHDe7gZdpmv5y7XmU9x5ORpU2B7tsTE6B5OmJgQj42trcYyG1tbdX73k5PIysossB82NrYa+1EUVT5Z2Nhobsu6kHwSEuJpnC+9jY0tmZmZJCcnYWdXpdjbf5IYVfuaoDPGJs8wxtztxmVvK3+92BETU8gxWUR9l6WKfkzmsDRTfYlOeaT5xTvlEdhY6P6CHZOoZOvhDO4lKKlkrBr1MOpVY37clk5csu65GUrDolJ2TI81l6c8BptCptZxrApN6itYsjtTZxpbC2jWQMHxi0r+Op9JzSoKujYzIDMri7M3ynY/8jKtbk9qlOYotrToOAyMjTGxtyX1XgymDvakRsVppEmNisPUoWqpt1vRj0t9aYf0oQ2Cih+nvtR3RT9vcuhrfT/ptVBiQjzW+eK3LmX8+nC9pg/+VydRLC9607Hg4+NDx44d8fb2pkuXLnTu3JkBAwZgm30C+/j4aMxt0KpVK1JSUoiIiCA6OprHjx+rOwRypKWl0aSJ6heX06dPc+DAAfWv/XmFhYXx6NEj0tLS1B0ToPoi7ubmVmTsjRrl3odauXJlLC0tiY6OBuDy5cs0b67Zu9iiheav64X5+OOP+eCDDwgODuaVV16hf//+6u0VtU/5OxZ0OX36NNeuXeOXX35RL1MqlWRlZXHjxg0aNmxYYD8VCgUODg7q/cxv9uzZGiNKAEaO/oxRYyaq3/918E+WLfpW/f7zr75X552XUqlUjTMuTL4/K1Gq84mLiWL10vl8OX1+oR0b2hw+sIclC3Nvifly2hytMaoGYxX162P+/SqYT/5slUotC4uhQHxKZaHZFChzVF90nurvqQXqufBd1R1j2UV5+EAwAXnqe9K0b7K3rZlOWYz6zv93pVKp5bgpTYz6cUz61DOgT5vcj6A1wek5YRWaf34RMUoiYnJXuhWVwUd9jGnlYcDO47q/yBeHl4uCV1vkXpSsP5ipM0ZdX/1NjKBPa0N2nsjiUaqORKhK+m487D+jGrFxL0FJVWslzVwNOHvjyfajSEodhZ53ubY0+ZcVQl+Oy4KbqljtkD60QfoUZ8GNVbT61o/zRl/r+2lcC2mPv2LFKMTTojcdC4aGhuzZs4djx44RHBzMjz/+yOTJkzlx4kSh6ykUCrKyVBdqu3btolatWhp/NzVVfZHMysqiZ8+efPPNNwXyqFGjBlevXi117PnvYcobk7YGU1mCi7X33nuPLl26sGvXLoKDg5k9ezb+/v6MGTOmyH0qrqysLEaNGsXHH39c4G9OTk7q/xe2n/lNmjSJ8ePHayy7EK55M3HTFm2p38BT/T49XTVnRmJCHLZ29urlyUkJBXrZ87KxqaIe7aBeJzEB6+xe3evXLpGcmMCXY3PvKc7KyuTS+VCCd25lbeBBDAwNtebd/IU2uLo1zBOj6stRQkIctnl6hpMSEwv0wmvEaGtXoAc6KU+MllbWGBgYFkyTlFCgN7swqnwMSCiQT6LOMrTVGluianSLlXWxt13SGLXtq7WOfbW1tSu4T+oYrcostuYvtMXVzUP9PkNd3/Eax2RSYkKBXy3ystERr679K1mM+nFMXgzPIiI6dx4cI0NVO2hhruB+nlELlSsVHMVQGCVwJ1ZJFSsD4Mm+kF+5rWRJbG4eRtnNgIWZ5qiFyqbwIN8ohhy2lmBroeD19rkdFDlN/pTBhiz6LZOEFLj/GGKSNPczNllJQ6enezmYGhVbYOSBSVU7stLTSYtLVKW5F4upg71GGtNqdgVGOhRGX47LHBW1HdKHNkif4sxRcetbP84bfa3vsr4W0lbOyYm68yyPGP/XKJ9WJ6TQSq/GhygUCtq0aYOfnx8hISGYmJiwbds2AM6cOcOjR7kzdh0/fhwLCwtq166Nh4cHpqamhIeHU79+fY2Xo6MjAL6+vpw/fx4XF5cCaSpXrkz9+vUxNjbm+PHj6m0kJCRw5cqVJ9ond3d3Tp48qbHs1KlTJcrD0dGR999/n8DAQCZMmMDSpUuLtU/amJiYkJmpeTGek0/+POrXr4+JiUmJYs1hamqKlZWVxiv/aAEz88o41KytftV2qoONbRX+C80tr4z0dC6eC6WBu3f+Tai5untprANwNuQfXBuq1vHyaca3C9cyZ8Eq9atufXfatO/MnAWrdHYqqGI0p0bN2uqXo5MLNrZ2nA3JrcP09HTOnzuDW0Mvnfk0cPfkTKhmvZ8JOYlbQ1XHirGxMfXqN+BMiGaasyGnCs03P1U+bgXyORNyCveGnlrXaeDuqSX9Seq5umFkVPZ9k7r29UzIadx17KubuwdnQjTnOwkNOVXmMeav79o66vtCMer7bL5jUlXfxa/L4sZYUY/JtHSIv5/7ik5UkvxQSf2auR9LhgZQx8GA8KiSTbpYw06zc6K00jIgISX3FZME9x8pqVsj90LFwACcqys0Rk3kFZsEP+3MYMnuTPXr8m0lN6OULNmdSVL2BOkRMUrsrTQvgKpYKkjS/cCbMpF4PBT7jq01llXt1Jak0+dQZt+Tm3A8FPuObTTS2L/SloS/Q4q9HX05LnNU1HZIH9ogfYozh77Ud0U9b/Szvsv+WkhbOYeGnNSZZ3nEKMTTpDcdCydOnGDWrFmcOnWK8PBwAgMDiYmJUQ/DT0tLY/jw4Vy4cIHff/+dqVOnMnr0aAwMDLC0tOTTTz9l3LhxrF69mrCwMEJCQli0aBGrV68GVJMgxsfHM3jwYP755x+uX79OcHAww4YNIzMzEwsLC4YPH85nn33Gvn37OHfuHEOHDsXA4MmKcNSoUVy6dImJEydy5coVNm3axKpVqwBtQ90KGjt2LH/++Sc3btzg33//Zf/+/eoyKWqftHFxceHw4cPcuXNH/fSIiRMn8vfff/PRRx8RGhrK1atX2bFjB2PGjHmifS8phUJBt14DCdq8hpN/HyLiVhg/zf8aE9NKtGmfe5vL4rnTWb/6J/X7br0GcjbkH3ZsWcudiJvs2LKWc2dO0r3XIEDVgeHoXE/jZVrJDAsraxyd65U4xld7v8bWTb9w4thhwm9eZ+G82ZiamvJi+1fU6Rb4z2TdqtynZvToNYAz/55i2+ZfuR1xi22bf+Vs6Gle7Z37bOGefQeyL3gX+4J3cTv8JisDFhIbE03nPM/MLo6efV/Lzmc3t8NvsSJgIbExUep81q0K4Af/3Hk5unTvRUx0FCuXLuJ2+C32Be9mX/BuevcbpE6Tnp7OjbCr3Ai7SkZGBvFxsdwIu0rk3dslii1Hr76vsTd4N3uDdxMRfosVAYuIjYmiS/eeAKxdtVRrjCuWLiIi/BZ7s2Ps0y93olJVjNe4EXaNjIwM4uJiuRF2jci7d0oVI6jqu0fv1wjctE5d34vU9Z17TC7wn8kvq5ao33dX1/cv3Im4xbbNv/Bf6Cl65KnvR48eqssUVJN23Qi7WuJHf+nDMZnj2PlMXvIxxMPZgOq2Cga0MyI9A0Kv53YsDGhnROdmuZ19HZoY4lpLga2lqkOh34uqyRv/uZjbxpkYqf5Ww07VptpZqP5vXci8CLqcuJRFW08D3GorqGoNvVsZkJ4B527mdiz0bmVAh8aqz4bMLFWHRN7X4zRITVf9P2dQ14mLWdSyh7aeCmwtVLdh+LoqOHmlZJ0qhpXNsfJxx8pHNbeNeZ3aWPm4U8lRNUrN7evx+KzMHcV2K2ADZs41afjdF1i416X20P44vtuf63NXqNPcXLgG+05tqPvpCCq71aXupyOw79iKmz+uLnkBZtOH41If2iF9aIP0JU59qe+Kft7kxFnR6/tpXAu92qs/of+eJDC7nAPV5TygZAX4FGMs6+s1IfLSm+4rKysrDh8+zPz580lOTsbZ2Rl/f3+6devGxo0b6dixI66urrRr147U1FRef/11pk2bpl5/xowZVKtWjdmzZ3P9+nVsbGzw9fXlyy+/BKBmzZocPXqUiRMn0qVLF1JTU3F2dqZr167qzoPvvvuOlJQUevXqhaWlJRMmTCApKemJ9qtOnTps2bKFCRMm8MMPP9CqVSsmT57MBx98oL5NozCZmZl89NFH3L59GysrK7p27cq8efOKvU/5TZ8+nVGjRlGvXj1SU1NRKpU0atSIQ4cOMXnyZF588UWUSiX16tVj0KBBWvN4mnr2f4u0tFRW/PQ9D1LuU6+BB19On4eZee43hNiYKBR5Jmtp0NCbjz/3Y9PaADb9spTqDrX4+PMZ1HcreQ9ycfQZMJi0tFQCFs/jQUoKrm4N+WrG95jlmQMkNiZaI0Z3Dy/GT/yKX9cuZ8O65VR3qMn4idNo4J47tLBNuw7cT05i8/o1JMTH4eRchy/9vqFaNQdKom27DtxPTmbT+tUkxMfj5FyHyXnySYiPIzbPJFDVHWowxW8OK5Yu4ved27GrUoXho8bQKs+jnhLiY5nw8Qj1+6DAjQQFbsTT24cZc34oUXyaMa7JjtGFKX5zNGKMicmdv0MV42xWLl3M7zuDdMQYx3gdMX49Z36JY8zRZ8AbpKWlsnTxXHV9/98M/3z1HYVBno5Cdw9vxk2cyvq1y9iYXd/j8tV32NXLTJv0ifr96mULAXipY1dGj/+yhDFW7GMyx+GzmRgbQq/WRpiZwO0YJSv/TCctPTeNjYVC49b+SibQp60xlmaqL+x345QE7Erndmxuolr2Ckb0yB1d1aOl6qPv9JVMth4p2UzZxy4oMTZU0r2FAWYmcCcW1u3PJC1PNtaVFSW6pQ1U8ytsOpxFh8YGtPNWjZD481SWRodFcVg39aLVvrXq9x7fq46ViDWBnB0+CdMaVTFzzL0V7tHN25zsORIP/0k4f/AmqXejOT9uJve2BavTJPwdQsib43HzG4ub38c8DIsg5I1xJP5ztkSx5VfRj0t9aYf0oQ3Shzj1p74r9nmTG6e+1HfZXQvllPP6tcvZsG4F1R1qMmHiVI34S0Ifrtcquv/Vxz6WF4WypFc/FdDQoUNJTExk+/bt5R1KmZg5cyY///wzERER5R3KM/XvlbiiE1UAJgbpRScqZwqdU8lVHPoQI0Amum+FqSj0oSx/PVS298g+LZUqVfz6bjr06XSKliXni4fKO4RiMaBkI0LKgz60QfrC8AnnXXkWsvRgMLG+fFnTh/NbH3jWL/68bBXN7StP5xG6xVG7QdnewqMP9GbEwvNs8eLFNG/enCpVqnD06FG+++47Ro8eXd5hCSGEEEIIIYReksdNPltS2hXA1atX6d27Nx4eHsyYMYMJEyaob+Po1q0bFhYWWl+zZs0qPGMhhBBCCCGEEOIpey5uhXie3blzR+NpF3nZ2dlhZ1fyR9hUVHIrRNnRh6Hx+hAj6McwZH0oS7kVouzIrRBlRx+GSutDG6Qv5FaIsiG3Qvxv0edbISKuXii3bTu6lm5uDX0mt0JUcLVq1SrvEIQQQgghhBBCr+hLJ9jzouJ3iwohhBBCCCGEEKLCkhELQgghhBBCCCGeKzJ547MlpS2EEEIIIYQQQohSkxELQgghhBBCCCGeKzLHwrMlIxaEEEIIIYQQQghRatKxIIQQQgghhBBCiFKTWyGEEEIIIYQQQjxXZPLGZ0tKWwghhBBCCCGEEKUmIxaEEEIIIYQQQjxXZPLGZ0tGLAghhBBCCCGEEKLUpGNBCCGEEEIIIYQQpSa3QogKw8QgvbxDKBYFyvIOoUj6MPTLUJFZ3iEUS2qWSXmHUCQTRcU/d95on1DeIRSLAVnlHUKRsi4eKu8QinSrYfvyDqFYZncNKO8QijRrTrPyDqFItqYp5R2CeIYM0Y/P70wMyzsEUc6Uiop/Pfw8kRELQgghhBBCCCGEKDUZsSCEEEIIIYQQ4rmiVMqIhWdJRiwIIYQQQgghhBCi1GTEghBCCCGEEEKI54pSfkN/pqS0hRBCCCGEEEIIUWrSsSCEEEIIIYQQQohSk1shhBBCCCGEEEI8V/Th8evPExmxIIQQQgghhBBCiFKTEQtCCCGEEEIIIZ4rMmLh2ZIRC0IIIYQQQgghhCg16VgQQgghhBBCCCFEqcmtEEIIIYQQQgghnityK8SzJSMWhBBCCCGEEEIIUWrSsVAOXnrpJcaOHVveYQghhBBCCCHEc0mJotxe/4vkVoin6ODBg7z88sskJCRgY2NT3uE8F5RKJZt+XcWeP37jQcp9XN08eO+DsTg51yl0vb+PHmLD2uXci7yLQ42avDHkPV5o3U4jzR87txEUuIGE+HgcnVx4d+RoPLx8Shzj7zu3Z+cTh6NTHYaNHI2HVyOd6c//F8rKpYuJCL+BnZ09fQa8TpfuvQvEv37tCo34W7Z+scSx5dCHcty9M4htWzeREB+Hk7MLw0d+iGch5XjuvzOsWPoT4bduYlfFnr79B9GtR888sR9h88ZfuRd5h4yMTGrWqkXvvq/xcsdOJY4tL6VSyZZfV7D/zyBSUu5Tv4Enwz4Yj6Nz3ULXO3H0AJvWLSMq8g7Va9Ri0NsjadG6vfrvwbu3sXf3NmKiIgGo7VSHfoPfpUmzViWOsayPyfBbN9iwbiVh1y4TEx3FuyM+omef10ocV376cFz+vnM72wM3ZpelC8OLKMtz6rK8qS7Lrt17qf8efusG69etJOzaFWKioxg24iN69hlQ4rjyqujlaNe2GXUnDMfa14tKNatxqv+HRO3YV/g6LzbH4/svsPBwJfVuNGH+ywgP2KCRxqFvZxpM+wTzek48DAvn8lfziAraW6LYtBk22JleXWpgaWHEhSv3mfvzVW6EPyx0ndd61aJvt5pUr2pKYnI6B4/FsmT1ddLSlQBsXvYCNapXKrBe4K47zP35WoniUyqV/LZxCYf3BPLwwX3quHrxxogvqOVUT+c6d8LD2LHhJ26FXSQuJpJB707glZ5vaqS5cv40fwat4VbYRZISYvlwoj9NXnj5/9m777Aojv+B4+8DATsdsVCsIKIilmgs2EnU2KOxxmg0mqhfJcUYTWyx5SdqrFGssXexEGMnthgb2FGxYEE62JFyvz8ODg7ugCMWznxez3OP3jI7+9mZ2b272dlZvWLLGufGtcvZn9YuK7m4MXDISBxyaZd/Hzus0S579B2o0S4vXwzCf8t6bt4IIS42hu/GTqZeg/x9Psrx/d85T4JhtElDiFGIdDJi4R2RlJT0tkN4I7ZvXsfObRv5fPAIps9ahIWlFRPHfs3zZ7q/5IVcucjMaRPwat4a33lLVf9OG8+1q5fVaY79dZDlfvPo0r0PM+b4UdW9BpPHjSIqMkKv+I6q8+mN75wlVHWvzs/jvtOZT8TDcH4e9z1V3avjO2cJnbv3YumiuZw4Fpgp/kv4psU/c94SrfHrq6CX45HAQyxdvICPu/dk1txFuFWrzsSfRudYjhN/+gG3atWZNXcRXbv1YMmieRw/+pc6TfESJfj4k15M953Lrwv8aNHSmzmzfuHsmVN6xZbVji1rCNi+ns8G+zBl5lIsLK2Y8uMInj97qnOda1cu8uv0cTRu5s30uStp3MybX6f/yPWQS+o01ta29Ph0MJNnL2Xy7KVUq1mbGT9/z907N/WK73W0ycTERErZl6ZPv0FYWFrpFU9OCnq7PPrXQZb5zadr9974zvHDzb0Gk3LIR1WWo3Fzr4HvHD+66CzLMvTpNwjLV1SWBb0cjYsV5dH5EC79b2Ke0hdxLkfdnYuJPXqGo3U7cmP6b1SbNQb7Tq3VaSzqe1Br7Szur/HnSO0O3F/jj+e62VjU0/1jJi96dXGge8dyzFx0g899zhIT95JZE2tQpIixznVaedkx+NMKLF9/h15fnmLa3Gu0aGTLF59mdDYO9DlL+z7H1a8RY4MBOHQ0Su8Y92xbyb6da+g5cBRjpq/C3MKaWROG8OK57nPQy8QX2JQqS+c+wzG3sNGaJjHxBeWcq9Bz4Ci9Y9Jm++a17Nq2kQGDRzBt1uK0dumTp3bZpLk3vvOW0aS5NzOnjdNoly9evMC5fEUGDB7xr+KT4/u/dZ6Egt8mDSXGgkypVLy113/Rf6pjYefOnVhYWJCamgpAUFAQCoWCb7/9Vp3miy++oEePHgAcP36cJk2aUKRIERwcHBg+fDhPn2Z8UK9evZo6depQokQJ7O3t6dmzJ5GRkQDcvn2bZs1UPfuWlpYoFAr69eunXjc1NZXvvvsOKysr7O3tGT9+vEasCQkJDBo0CDs7O0qWLEnz5s0JDg5W/338+PF4eHiwbNkyKlSogJmZGUqlMsf9b9q0KcOHD89xuzNnzqR69eoUK1YMBwcHvvzyS548eaL++507d/joo4+wtLSkWLFiVKtWjYCAAADi4uLo1asXtra2FClShMqVK7N8+fIcY9KHUqlkl/8munTvQ/2GTXB0rsAwn9EkJiZyJFD3Vald/pupWas2nbv1ppyDE5279aZ6zdrs8t+kTrNz20aat25DS+92lHN0pv+gYVjb2PJngL9eMe7ctokWrdvQyrsd5RydGDBoGNY2djrz+TNgBza2dgwYNIxyjk608m5H81Yf4r91Q0ae/pupWasOXbr1opyDE1269aJ6TU92+W/WK7Z0hlCO/ts207L1h7T+oC0Ojk58/sVX2Nja8cfunVrT7wnYia2dHZ9/8RUOjk60/qAtLVp9wPatG9VpqtfwoMH7jXBwdKJ06TJ81LELzuUrcOXSRb1iy0ypVPKH/0Y6dv+Ueu83xcG5Al/6jCUxMZFjgft0rhewYwPVa9WlY7e+lHVwomO3vrjXrMMf/hnx1n6vEbXqvk+Zso6UKevIJ32/oHDhIhqdD3nxOtpk5SqufDpgCI28WmBiYqJXPLoYQrvcoS5LVbscMGgo1jZ27AnYoTV9RlkOxcHRiVbebWne6kONdlm5iiv9BgymsVdzCr2CsjSEcoz68y+ujZvNw+26j5HMnAZ9wouwcC5/PYUnV29yd9lm7q7YSgWf/uo05Yd9SvT+44T+spinITcJ/WUx0Qf/xnnYp3rFltXH7cvy+8Yw/joRza2wZ0yedRUzM2Nae9npXMfdtSQXriSwLzCSh5GJnDoXx/6/InGtVEKdJv5RErHxGa/361pz78Fzzl1M0Cs+pVLJgV1radNlAJ71W1DWqRKfDZ/Iy8QXnPzrD53rla9cjY8/HUm9Rt462111z4Z06vkVnvVb6BWTrjh3+2+ic/c+1G/oldYuf0hrl7rbwW7/TdSoVYfO3XpTNlO73J2pXXrWqU+PvgOp39BLZz55Icf3f+c8CYbRJg0hRiEy+091LDRp0oTHjx9z7tw5AAIDA7GxsSEwMKNX9PDhw3h5eXHhwgW8vb3p3Lkz58+fZ8OGDRw9epShQ4eq0758+ZJJkyYRHBzM9u3buXXrlrrzwMHBgS1btgAQEhJCeHg4v/76q3rdlStXUqxYMU6ePMkvv/zCxIkT2bdPdZJQKpW0bduWhw8fEhAQwJkzZ/D09KRFixbExsaq87hx4wYbN25ky5YtBAUF5akMctougJGREXPmzOHixYusXLmSgwcP8t1336n//tVXX5GYmMhff/3FhQsXmD59OsWLFwfgxx9/5PLly/zxxx9cuXKFhQsXYmOj/UpIfkQ8DCc+LpaannXUy0xMTKnmXpOQK7p/HF67eomatepqLPPwrEvIFdUPtKSkJEJvXMMjS5qannVzzDcrVT4hWrd19Yr2H4PXrl7CwzNr+nqEXg8hOTk5I02WPGt51tOZZ24Moxyv4ZEpPgCPWrV17vPVK5fxqFVbY1mt2nW5cf2auhwzUyqVBAed5f69e1Rzr57n2LKKjHhAfFwMNWrVUy8zMTGlqrsH165c0Lne9auXqJGlnGp41tO5TmpKCscD95P44gVVXN3zHN/rapOvg8G0y1pZ2qVnHa7qyCfk6uVs7biWZ93XWpYFvRzzw6K+B1H7j2ksi9p7BPPa7igKqe7otKzvQfT+oxppovcdwbJBrXxvt0ypwthYmfHPuTj1sqRkJUEX43F3LalzvfOXE3CpWIKqlUuo86lfx4oTp2O0pi9USEHrZqXYvf+h3jFGR9wnIT6aah711ctMTEypUq02oSHn9c7vdYlUt8uM9mNiYopbPtplTc96r7zNyfH93zpPQsFvk4YSo3h1FixYQPny5SlcuDC1a9fmyJEjOaYPDAykdu3aFC5cmAoVKvDbb79lS7Nlyxbc3NwwMzPDzc2Nbdu2va7wgf/YHAvm5uZ4eHhw+PBhateuzeHDhxk5ciQTJkzg8ePHPH36lGvXrtG0aVOmTJlCz5491ZMsVq5cmTlz5uDl5cXChQspXLgw/ftnXC2pUKECc+bMoV69ejx58oTixYtjZaUarmVnZ5dtjoUaNWowbtw4dd7z5s3jwIEDtGrVikOHDnHhwgUiIyMxMzMDYMaMGWzfvp3NmzczaNAgQNWxsWrVKmxtbfNcBjltF9CYVLJ8+fJMmjSJIUOGsGDBAgDCwsLo0qUL1atXV+93urCwMGrVqkWdOqoPCGdnZ51xJCYmkpiYqLHsZWIipmn7q018nKpTxcJCcxicuYUlUVG6h+rFx8ViYWmpsczC0lKd3+NHCaSmpmCeJV8Li4w0eaHKJxULC81tmeeQT1xcLB5Z0ltYWJKSksKjRwlYWVkTHxeLeZb4zS31iy2zgl6Oj3SUo4WlJXE68tEaW5ZyBHj69An9+3QnKSkJIyMjBn/1v2xfaPSRvl/m2erciuhI3T8S4uNispWTuYVVtnIKux3Kj998QdLLlxQuUoSvx0yhnGPO91Vm9rra5OtQ0NulrrJU5ROndZ24uFhqveGyLOjlmB9mpWxIjIjWWPYyMgYjExNMbSxJfBiFmb0NiRGaP9wTI2Iws8/752NWVpamAMTGv9RYHhf/klJ22edHSHfgSBQW5iYsmO6BQgGFChmxLeA+qzff1Zq+SX0bihcrRMAB/TsWEuJV+1zSQrMtlbSwIiYqXO/8Xpe4OFWcWdulhYUVUVE5nStzbpevihzf/63zpGq7BbtNGkqMBZ2hTKK4YcMGRowYwYIFC2jYsCGLFi3iww8/5PLlyzg6OmZLf+vWLdq0acPAgQNZvXo1x44d48svv8TW1pYuXboAcOLECbp3786kSZPo1KkT27Zto1u3bhw9epT33nvvtezHf6pjAVS3Axw+fBgfHx+OHDnCzz//zJYtWzh69Cjx8fGUKlUKV1dXzpw5w40bN1izZo16XaVSSWpqKrdu3aJq1aqcO3eO8ePHExQURGxsrPoWi7CwMNzc3HKMo0YNzfs+S5curb6N4syZMzx58gRra82T6fPnzwkNDVW/d3Jy0qtTIbftAhw6dIgpU6Zw+fJlHj16RHJyMi9evODp06cUK1aM4cOHM2TIEPbu3UvLli3p0qWLOs8hQ4bQpUsXzp49S+vWrenYsSPvv/++1jimTp3KhAkTNJYNGfY1Xw7/Rv3+r0P7WDTPV/3+h/HTAFAosp4klChyPXFo/l2pzJ5P1myVSi0L8yBbfEpljtlkTa9EdUtL5qVZ90+ZS56ZGW45Zs8ne8yZI9O2Yc3lRYoUZfa8xTx//pzzwWdZ5reQUvalqV7DI08xHT30J37z/0/9ftS4/0uLVVud57zPeVmnTFlHps9ZwdOnj/nn2GEWzJrMuGnz9Opc0L2tvKfX1ib/LUNtl1nXUW0rp+S6yvLVlKbBlqO+st7ql77NzMu1pcnlFsHMWnnZ8e1XVdTvv5uYNoIoaxYKRfZlmdRyN6dvNyd8f7vO5ZDHlCtdmP8NqkR07EtWbgjLlr5tK3tOnoklJvalltw0/R0YwOpFk9Xvh42Zoz2h8tW1sfz469BeFmdql6PHTwe0tJ88tEvtn3+vad/k+M6W5l04T4JhtElDiFG8HjNnzmTAgAF8/vnnAMyePZs///yThQsXMnXq1Gzpf/vtNxwdHZk9ezYAVatW5fTp08yYMUPdsTB79mxatWrF6NGjARg9ejSBgYHMnj2bdevWvZb9+E92LCxdupTg4GCMjIxwc3PDy8uLwMBA4uLi8PJS3WuUmprKF198wfDhw7Pl4ejoyNOnT2ndujWtW7dm9erV2NraEhYWhre3Ny9f5v7lIOt9yQqFQt0xkZqaSunSpTl8+HC29TKPfChWrJgee577du/cuUObNm0YPHgwkyZNwsrKiqNHjzJgwAD15JCff/453t7e7N69m7179zJ16lR8fX0ZNmwYH374IXfu3GH37t3s37+fFi1a8NVXXzFjxoxscYwePRofHx+NZTfuavZm132vIZVdqqrfp8cQFxeDZaYe7IT4+Gw9s5lZWGa/EpwQH6e+ylyipDlGRsbZ0yTEZet1z4kqH6NsV9UTEuKzXQVIZ6k1tniMjY0pUdJcZ/yP4nXnmZWhlWNJdTlqtoeEeN35WFhaZSv3+IT0cswYsmxkZETpMmUBqFCxEnfDwti8cV2eOxZqv9eISi7V1O+TklTHenxcLJZWGbf9JCTEZRvFoBmvNfFxmldXta1TyMQE+zLlAKhYuSqh16/yx45NDBz6HXnxutrkq2Bo7TK9LLXlo6uuLbW0y4yy1D2UXh+GVo75kRgRnW3kgamtFalJSbyMiVeleRiNmb3mrXdmdlbZRjrk5Og/MVy+djpjGyaqu0WtLE2Jicv4XLc0N8k2iiGzz3uX589DEezaq7qiePPOUwoXNua7oVX4fWOYRl9HKVsz6tS0ZMzUvN3a5lHPiwpVMm6HSq/vR/ExWFhllNGjhNhsoxjepLrvNaKyS8YFlmR1u8xyroyPyzYiLzNt5/aE+Pgcz6/5Icf3u32eBMNok4YQo6F5myMWtI3ONjMzU49GT/fy5UvOnDnD999/r7G8devWHD9+XGveJ06coHXr1hrLvL29Wbp0KUlJSZiYmHDixAlGjhyZLU16Z8Tr8J+aYwEy5lmYPXs2Xl5eKBQKvLy8OHz4sHp+BQBPT08uXbpEpUqVsr1MTU25evUq0dHRTJs2jcaNG+Pq6qpx5R/A1FQ1jDIlJUWvGD09PXn48CGFChXKtu1XOWdBVqdPnyY5ORlfX1/q169PlSpVePDgQbZ0Dg4ODB48mK1bt/L111/j5+en/putrS39+vVj9erVzJ49m8WLF2vdlpmZGSVLltR4Zb0NokjRopQuU079cnB0xsLSivPnMr74JSUlceliMC5Vdd93XsW1GsFBpzWWBZ87hUtV1Q9EExMTKlaqQvA5zTTnz53OMd+sVPm4ZMsn+NxpXKtW07pOFddqWtKfomJlFwql3TusLf6gc6d05pmVYZZjFYLPndFYHnTujM59dq3qRlDW9GdPU6lyFXU5aqdUf3DnRZGixbAvU079KudYHgtLay6cy3iyRHJSElcuBlGlqu65Gyq7VtNYB+D8uVM5rgOqKw7pnRl58bra5KtguO0y67bO4KojHxdXNy3t+PQrLUtDK8f8iP87CJsWmqPfbFs1IuHMRZRp92DH/R2ETYuGGmlsWjYi7sS5PG/n+fMU7oe/UL9uhT0jOjaRuh4ZX8YLFVLg4W7BxauPdOZT2MwIZarmkIbUVNXX26wXDNu2tCcu4SUnTmmffyFb3kWKYVfaUf0q41ABcwsbLgf/rU6TnJTEtUtnqOjy756I8W9kbZfldLTLy3lol+eDNM+Vqnb5atucHN/v9nkSDKNNGkKMIu+mTp2Kubm5xkvb6IPo6GhSUlIoVaqUxvJSpUrx8KH2W14ePnyoNX1ycjLR0dE5ptGV56vwn+tYSJ9nYfXq1TRt2hRQdTacPXtWPb8CwKhRozhx4gRfffUVQUFBXL9+nR07djBs2DBANWrB1NSUuXPncvPmTXbs2MGkSZM0tuXk5IRCoWDXrl1ERUVpPF0hJy1btqRBgwZ07NiRP//8k9u3b3P8+HHGjh3L6dOnc88gnypWrEhycrJ6n1atWpVtIpARI0bw559/cuvWLc6ePcvBgwepWlXVm/7TTz/h7+/PjRs3uHTpErt27VL/7VVQKBS06/AxWzau4eTxvwi7fZN5s6ZiZmZGY6+W6nRzfCezekVGh0bb9l0JPnuabZvWcu/uHbZtWsv5oDO06/CxOs1HnbpxYO9uDuzdzb2w2yxfPI/oqEhaZ3qOcl581OnjtHwCuBd2h2WL5xEdFaHOZ/WKxfzqO0Wd3rtNe6IiI1juN597YXc4sDeAA3sD6NC5uzpNu/ZdCDp7iq1p8W9Vx5+/ZzgbQjl26NSVfX8GsH/vH9wNu8OSxQuIjorkgzYfAfD78iXMmjFNnf6DNh8RFRnJ0sULuBt2h/17/2D/3j/o2LmbOs3mDWsJOnuah+EPuHc3DP+tmzh0YB9ezfI/47lCoeDDDt3Yvul3/jkeyN3bN1kwezJmZmY09GqlTjffdxLrVixUv/+wfTfOnzuF/+bV3L97B//Nq7kYdIoPO2TEu27lb1y5GERkRDhht0NZ//siLl88R6Ommj3UuXkdbTIpKYlbode5FXqd5ORkYmOiuRV6nfAH9/Quw3SG0C7bd/qY/XsD2L83gLthd1i2eD7RURF4p7XLVSv8tJblMr/5ae1SVZaZ26WqLG9wK/QGycnJxMREcyv0BuEP7utdhmAY5WhcrCgla7pSsqYrAEXLl6NkTVcKO5QGwOVnH2oun65Of2fxeoo4laHq/31PcdcKlOvXBYfPunBz5jJ1mtvzfsemVUMqfDOQYi4VqPDNQGxaNOD23JX6FWAWm3bcp8/HjjSpb015x6KMGeFCYmIKewMzLiSMHenCF30zbk869k8MHduUoUVjW0qXKkwdD0s+71Weo//EkDZAEFB1MrRpac+egxGkpJIvCoWCFu16ErBlGWf/Psj9OzdYPm8cpmaFea/Jh+p0S3/9ka2r56rfJyclEXYrhLBbISQnJxEXG0nYrRAiwzNu1Xjx/Jk6DUB05H3CboXka+4GhUJB2w4fs3XjanW7nK9ulxnnyjm+k1mzYpH6fRt1u1zD/bt32LZpDReCTtM2U7t8/vyZ+nwEqgkOb4Ve1/sxiXJ8/3fOk2AYbdIQYhS6jR49moSEBI1X+m0J2mS7JSiX21e0pc+6XN88/63/3K0QAM2aNePs2bPqTgRLS0vc3Nx48OCB+odwjRo1CAwMZMyYMTRu3BilUknFihXp3l315drW1pYVK1bwww8/MGfOHDw9PZkxYwbt22ecgMuWLcuECRP4/vvv+eyzz+jbty8rVqzINT6FQkFAQABjxoyhf//+REVFYW9vT5MmTbL1PL1KHh4ezJw5k+nTpzN69GiaNGnC1KlT6du3rzpNSkoKX331Fffu3aNkyZJ88MEHzJo1C1CN0Bg9ejS3b9+mSJEiNG7cmPXr17/SGDt27cHLl4ksXjCLp0+eUNmlKj9NmkGRokXVaaKjIlEoMvrMXN3c8Rn1E2tXLWX96qWUsi+Dz6jxVHHNGG7WsElzHj9KYNO634mLjcHRqTw/TJiOnZ29XvE1atKcx48esXHdSuJiY3F0Ks+YTPnExcYQnWmCpVL2pRk7YRrL/Obzx67tWFlbM+CLYTTI9Pif9PjXrVrK+tXLKGVfhq9HjdOIX18FvRwbezXj8eNHbFi7itjYWJycnflpwlTs0tp/XFwM0VEZX+xL2Zfmp4lTWLp4AQG7dmBlbc3nXwzl/UZN1GlevHjBbwvmEBMdhampGWUdHBj5zWgaezXTu/wya9+lFy8TE1m20JenTx5TycWNHybOpkjRjFuVoqMiUBhlnMhdqlZn+HcT2Lh6MRtX+1HKviz/GzWRyplus0iIj2P+zEnEx8ZQtFgxHJ0rMXqCr8YTKPLidbTJuNhovh4+UP3ef+sG/LduoFr1mkya9qte8WVW0NtlRln+nlaWzoydME2jLKOytMuxE6ay3G8Bf+zy11GWMfjoKMufp83WK750Bb0czWu70+DAKvV7txk/AHD3962cHzAas9K2FEnrZAB4fvsepz4ahJvvaJyG9CLxQSSXRk7m4ba96jRxJ85xrpcPLhNG4DJhOM9C73Ku50ji//l3T0ZYs+UuZqZG+AypTIniJly+9oiRP53n+fOMkYilbAuTeYDCyg13UCphYO/y2FqbEv8oiWP/xLB41S2NvOt4WGJvV5jd+/7d1aMPOn1K0ssXrF08jadPH1Ghsjsjf1pA4SIZ56DY6IcojDLqOz4uiklf91C/3+u/ir3+q6hSrTbfTlKNQrwTepkZPw1Sp9m4fCYADZp9RP9hmnMk5UXHrj15+TIRvwUz1e3yx0m+WdplBEaZvvS6ulVn5KhxrFu1hA1p7XJklnYZej2E8aP/p36/csk8AJq2+IChPj/kOT45vv9b50ko+G3SUGIsyN7mrRDabnvQxsbGBmNj42wjCSIjI3X+7rO3t9eavlChQuo5+nSleZ2/JRVKpR4zGwnxGl288fqG5rxKipxm7SogDGEW3EKK1/cYqVfpearu2d8LClNF3m/neFsMoU0CGJHPS8dvUKoBDDa8U9Uwno0+9QPtt+sVJFOm5f/JNW+KpVneRmS+bcbod2vq22AIx7chnCcBUjB+2yG8E6pXen0/RF+3Czfe3ggMfcrtvffeo3bt2uqn8AG4ubnRoUMHrbdPjBo1ip07d3L58mX1siFDhhAUFMSJEycA6N69O48fPyYgIECd5sMPP8TCwkImbxRCCCGEEEIIIfJCqTSMixo+Pj706dOHOnXq0KBBAxYvXkxYWBiDBw8GVLdV3L9/n99//x2AwYMHM2/ePHx8fBg4cCAnTpxg6dKlGh0G//vf/2jSpAnTp0+nQ4cO+Pv7s3//fo4ePfra9kM6Ft4RuT3iUtdzUIUQQgghhBBCvB3du3cnJiaGiRMnEh4ejru7OwEBATg5OQEQHh5OWFjGHDjly5cnICCAkSNHMn/+fMqUKcOcOXPUj5oEeP/991m/fj1jx47lxx9/pGLFimzYsIH33nvvte2H3ArxjkhOTub27ds6/+7s7PxKZ9d9HeRWiFfHEIady60Qr47cCvHqGMIQX0MYKi23Qrw6civEqyO3QrwahnCeBLkV4lUx5Fshzl+PzD3Ra1Kjst1b2/bbUrB/aYo8S380pRBCCCGEEEL816UayEWNd0XB7xYVQgghhBBCCCFEgSUjFoQQQgghhBBCvFMM5TbMd4WMWBBCCCGEEEIIIUS+yYgFIYQQQgghhBDvFEN53OS7QkYsCCGEEEIIIYQQIt+kY0EIIYQQQgghhBD5JrdCCCGEEEIIIYR4p8jkjW+WjFgQQgghhBBCCCFEvsmIBSGEEEIIIYQQ7xSZvPHNkhELQgghhBBCCCGEyDfpWBBCCCGEEEIIIUS+ya0QosBQoHzbIeSJIUwEYwhl+SLV7G2HkCdFjF687RBylaws+KdyQ2iTACkYv+0QcmVMytsOIVdTP1j8tkPIk9F7Br3tEHJ1+vOrbzuEXH1QLeFth5AnqQZwPc0QvmMYwmcOQCFF8tsOIVeGUN+GTMr3zSr4Z1ghhBBCCCGEEEIUWIbR5SiEEEIIIYQQQuSRTN74ZsmIBSGEEEIIIYQQQuSbjFgQQgghhBBCCPFOSX3bAfzHyIgFIYQQQgghhBBC5Jt0LAghhBBCCCGEECLf5FYIIYQQQgghhBDvFJm88c2SEQtCCCGEEEIIIYTINxmxIIQQQgghhBDinaJERiy8STJiQQghhBBCCCGEEPkmHQtCCCGEEEIIIYTIN7kVQgghhBBCCCHEO0Umb3yzZMSCEEIIIYQQQggh8k06FnLRtGlTRowY8bbDeK369etHx44d33YYQgghhBBCCPFKKFG8tdd/kdwKkebw4cM0a9aMuLg4LCws3nY4NG3aFA8PD2bPnv22Qykw/ti1Hf+t64mLjcHBsTz9Bw3Fzb2GzvSXLgSx3G8Bd8NuYWVlQ8eun+DdpoNGmhPHAlm3ahkPwx9gX7oMPft+Tv33G/+rOJVKJRvXrmDfnp08ffKYyi5ufD5kBI5O5XNc78SxQNavWqoRy3vvN9FIs2fXtrQyiMXB0ZnPBg3Fzb2m3jG+6rIMu3OL9auXE3ojhKjICD4b+BUfdfxY77iyUiqVbF67jAN/7uDJk8dUruJG/yE+ODhVyHG9k8cOs2H1EiLC71OqdFk+6TOQeu97qf++N2Ab+wK2ExURDkA5x/J06dGPWnUa6B1jwC5/tm3ZSFxsDI5OzgwY9CXVcijLixeCWea3kLA7t7GytqFTl+582PYj9d9PHDvCpg1reRh+n+TkFMqULUuHTh/TrEUrvWNL919sk+nxv57jezn708qykosbA4eMxCGXsvz72GGNsuzRd6BGWV6+GIT/lvXcvBFCXGwM342dTL0G+Yv1j13b2b51Q1pZOjMgl7K8qC7L2+qy/KBNe/Xfw+7cYt3q5YTeuEZUZAT9B37FRx275iu2rPr3cKK9d2lKFC/E5WuPmfnbdW6FPctxnY/bl6XTh2UoZWtG/KMkDh+PZtHKm7xMUgKwacl7lC5VONt6W3ffZ+ZvN/IUl1WjOlT4egDmnu4ULmPH6S5fErHjQM7rNK6L24zvKe5WmcQHkYT6LiFs8XqNNPadWlNl/P8oWtGRZ6FhhPw0iwj//XmKSRelUsmZffO4cnIjic8fYedYg0Ydf8LKvnKe1r8RtJsDa7/GuVoLvD+dr/G3S8fXEhy4lGePo7AsVYn32/9A6fJ19I7RUNqkIZwrDeEclB7nprXL2Z/p8/vzIT55i3P1EiLCH1CqdBl69BmkEee2jas4eeIv7t+7g6mpGS5V3enVbwhlyznqHaMhtEtD+b4mBMiIhbciKSnpleSjVCpJTk5+JXkVdEf/Oshyv3l06d4b3zlLqOpenZ/HfUdUZITW9BEPw/l53PdUda+O75wldO7ei6WL5nLiWKA6TciVS/hOm4BX89bMnLcEr+at8Z02nmtXL/+rWLdvXsfObRv5fPAIps9ahIWlFRPHfs3zZ7q/LIdcucjMtFh85y3VGssxdRn0YcYcP6q612DyuFE6y0CX11GWiYmJlLIvTZ9+g7CwtNIrnpzs2LKG3ds38NlgH6bMXIK5pTWTfxyZY1leu3KR2dPH0biZN7/MXUHjZt7Mnv4T10MuqdNYW9vS89PBTJm9hCmzl+Be05P/+3k0d+/c1Cu+I4GHWLp4AR9378msuYtwq1adiT+NzrEsJ/70A27VqjNr7iK6duvBkkXzOH70L3Wa4iVK8PEnvZjuO5dfF/jRoqU3c2b9wtkzp/SKLbP/Ypt8fcf3WnZt28iAwSOYNmtxWln65KksmzT3xnfeMpo092bmtHEasbx48QLn8hUZMHjEv4rv6F8HWeY3n67de+M7xw839xpMyqFOVGU5Gjf3GvjO8aOLzuO7DH36DcLyFR7fvbo40L1jOWYuusHnPmeJiXvJrIk1KFLEWOc6rbzsGPxpBZavv0OvL08xbe41WjSy5YtPMzobB/qcpX2f4+rXiLHBABw6GpXn2IyLFeXR+RAu/W9intIXcS5H3Z2LiT16hqN1O3Jj+m9UmzUG+06t1Wks6ntQa+0s7q/x50jtDtxf44/nutlY1NP9IyEvgg8v4fyRFTTs+COdh2+iaAlbdvv15+WLJ7mu+zjuPn/v/gV7LZ0FN4ICOL5zKrWaD6bL/7ZhX74OAUsH8TjugV7xGVKbLOjnSlWMBfsclM5/y1p2bd/AgMEjmTbTDwtLKybl8vkdcuUis6aPx6uZNzPmLsermTezsnx+X7oYhHfbTkyZsYgfJ80iJSWFn3/04cWL53rFZwjt0pC+rxVUqcq39/ovKrAdCzt37sTCwoLU1FQAgoKCUCgUfPvtt+o0X3zxBT169ADg+PHjNGnShCJFiuDg4MDw4cN5+vSpOu3q1aupU6cOJUqUwN7enp49exIZGQnA7du3adasGQCWlpYoFAr69eunXjc1NZXvvvsOKysr7O3tGT9+vEasCQkJDBo0CDs7O0qWLEnz5s0JDg5W/338+PF4eHiwbNkyKlSogJmZGUql7hbXr18/AgMD+fXXX1EoFCgUCm7fvs3hw4dRKBT8+eef1KlTBzMzM44cOUJiYiLDhw/Hzs6OwoUL06hRI06d0vwRcunSJdq2bUvJkiUpUaIEjRs3JjQ0VOv2z5w5g52dHZMnT9Zr/1atWoWzszPm5uZ88sknPH78WOc+6mvntk20aN2GVt7tKOfoxIBBw7C2sePPAH+t6f8M2IGNrR0DBg2jnKMTrbzb0bzVh/hv3ZCRp/9mataqQ5duvSjn4ESXbr2oXtOTXf6b8x2nUqlkl/8munTvQ/2GTXB0rsAwn9EkJiZyJFD3Vald/pupWas2nbv1ppyDE5279aZ6zdrs8t+UqQw20rx1G1p6t6OcozP9Bw3D2sZWZxno8jrKsnIVVz4dMIRGXi0wMTHRKx5dlEolAf6b6NS9L++974WjcwW+8hlDYmIiRwP36lwvYMdGatSqQ6dufSjr4ESnbn1wr1mbAP+N6jS132tErboNKFPWkTJlHfmk7xcULlyE6yH6/ej037aZlq0/pPUHbXFwdOLzL77CxtaOP3bv1Jp+T8BObO3s+PyLr3BwdKL1B21p0eoDtm/NiK16DQ8avN8IB0cnSpcuw0cdu+BcvgJXLl3UK7Z0/9U2+bqO793+m+jcvQ/1G3qlleUPaWW5T+d6u/03UaNWHTp3603ZTGW5O1NZetapT4++A6nf0EtnPnmxQ12WqjY5YNBQrG3s2BOwQ2v6jLIcioOjE62829K81YcabbJyFVf6DRhMY6/mFHpFxzeoRh78vjGMv05EcyvsGZNnXcXMzJjWXnY613F3LcmFKwnsC4zkYWQip87Fsf+vSFwrlVCniX+URGx8xuv9utbce/CccxcT8hxb1J9/cW3cbB5u112vmTkN+oQXYeFc/noKT67e5O6yzdxdsZUKPv3VacoP+5To/ccJ/WUxT0NuEvrLYqIP/o3zsE/zHFdWSqWSC0d/x7P5YCpUb42VfRWadZ9GctILbgTtynHd1NQUDq77ljqthlHSqly2v184sgLXul2o+t7HWJaqSMP2P1Dcwp7Lf6/TK0ZDaZOGcK40hHNQRpwb6Zzp83uo+vM7hzh3bNL6+Z05zrETfWnWsg0OTuVxrlCJL0eMJjoqgps3QvSK0RDapaF8XxMiXYHtWGjSpAmPHz/m3LlzAAQGBmJjY0NgYEav2+HDh/Hy8uLChQt4e3vTuXNnzp8/z4YNGzh69ChDhw5Vp3358iWTJk0iODiY7du3c+vWLXXngYODA1u2bAEgJCSE8PBwfv31V/W6K1eupFixYpw8eZJffvmFiRMnsm+f6sSoVCpp27YtDx8+JCAggDNnzuDp6UmLFi2IjY1V53Hjxg02btzIli1bCAoKynHff/31Vxo0aMDAgQMJDw8nPDwcBwcH9d+/++47pk6dypUrV6hRowbfffcdW7ZsYeXKlZw9e5ZKlSrh7e2t3v79+/dp0qQJhQsX5uDBg5w5c4b+/ftrHe1w+PBhWrRowYQJExgzZkye9y80NJTt27eza9cudu3aRWBgINOmTctxP/MqKSmJ0Bsh1KxVV2O5h2ddrl65pHWda1cv4eGZNX09Qq+HqPf72tVLeGTJs5ZnPZ155kXEw3Di42Kp6Zlx9cfExJRq7jUJuaL7h+G1q5e07l9IWiyqMriWLd6annVzzDer11WWr0NkxAPi42KoUaueepmJiSlu7h5cy7EsL2qsA1DT8z2d66SmpHAscD+JL15QxbVanuNT14mn5pU+j1q1dZbl1SuX8ahVW2NZrdp1uXH9mtayVCqVBAed5f69e1Rzr57n2DL7r7bJ13F8R6rLMiNfVZvUvyxretbTq5zyIqNOsrRJzzpc1bGtkKuXs7XhWp51X/vxXaZUYWyszPjnXJx6WVKykqCL8bi7ltS53vnLCbhULEHVyiXU+dSvY8WJ0zFa0xcqpKB1s1Ls3v/w1e5AFhb1PYjaf0xjWdTeI5jXdkdRSHXXqWV9D6L3H9VIE73vCJYNauV7u49j7/HscRTlqjRULzMuZErpCnWJuHMux3XP7J9P4WJWuNbLPlQ7JfklUfcvaeQLUK5yQyJu55xvZobUJgv6uRIK/jlIHWdEWpy1ssbpkUucF7WUZc5xPku7iFi8uO7zRlaG0C4N6fuaEOkK7BwL5ubmeHh4cPjwYWrXrs3hw4cZOXIkEyZM4PHjxzx9+pRr167RtGlTpkyZQs+ePdWTLFauXJk5c+bg5eXFwoULKVy4MP37Z1w1qFChAnPmzKFevXo8efKE4sWLY2WlGg5kZ2eXbY6FGjVqMG7cOHXe8+bN48CBA7Rq1YpDhw5x4cIFIiMjMTMzA2DGjBls376dzZs3M2jQIEDVsbFq1SpsbW3ztO+mpqYULVoUe3v7bH+fOHEirVqp7rd++vQpCxcuZMWKFXz44YcA+Pn5sW/fPpYuXcq3337L/PnzMTc3Z/369ereySpVqmTL19/fnz59+rBo0SL1SJC87l9qaiorVqygRAnVl70+ffpw4MAB9aiHf+PxowRSU1OxsLDULCcLS+LjYrWuExcXi0eW9BYWlqSkpPDoUQJWVtbEx8VibpklT0vdeeZF+roWFprDy8wtLImK0j3kMT4uFosssVhkikVVBimYZ8nXIocy0OZ1leXrkB5P1n02t7DMcfhofFws5nnYv7DboYz9ZjBJL19SuEgRvhkzhXKOOd/7mdkjHWVpYWlJnI6y1FrPWsry6dMn9O/TnaSkJIyMjBj81f+yfaHJq/9qm3wdx3dcXEzatrLusxVRUbp/uOZWlq+KrrJU1Umc1nXi4mKp9RaObytLUwBi419qxhP/klJ22edHSHfgSBQW5iYsmO6BQgGFChmxLeA+qzff1Zq+SX0bihcrRMCB19uxYFbKhsSIaI1lLyNjMDIxwdTGksSHUZjZ25AYodkBkhgRg5l97t8LdHn2WHV7R5HimvVUpLg1T+J137Lw8PZZQk5tocuI7Vr//uJpHMrUlOz5lrDm2eNoretoY0htsqCfK6Hgn4MytqeKU9vnd3RkznFmX8dKZ5xKpZKVS+bh6lYDR+ec517KzBDapSF9XyvI/quTKL4tBbZjAVQTGB4+fBgfHx+OHDnCzz//zJYtWzh69Cjx8fGUKlUKV1dXzpw5w40bN1izZo16XaVSSWpqKrdu3aJq1aqcO3eO8ePHExQURGxsrPoWi7CwMNzc3HKMo0YNzfsfS5curb6N4syZMzx58gRra82D9fnz5xq3Gjg5OeWpUyEv6tTJ+IERGhpKUlISDRtmXFUwMTGhXr16XLlyBVDdRtK4ceMchzydPHmSXbt2sWnTJjp16qRentf9c3Z2VncqgGYZaZOYmEhiYqLGspeJiZimdV5oo1BkOTkolWRdlFN6JarbTzIvVWQ54ShzyTOrvw7tY9E8X/X7H8ZP0x4rymzb0hJxlliy56OlCLIvzIPXUZb/1pFDe/Gb/3/q99+P+yVt25rpVOWSc17Z4tVSlmXKOvLLnOU8ffqEk8cOM3/WZMZPm6tX54Lu+HQHmK0dKJXZlhcpUpTZ8xbz/PlzzgefZZnfQkrZl6Z6DY9c45E2mSnNvz6+97I4U1mOHj89bdtZQs1DWWqP5TV94dHa/nNKrqssX118rbzs+ParjA7t7yZeSN9Y1mCyL8uklrs5fbs54fvbdS6HPKZc6cL8b1AlomNfsnJDWLb0bVvZc/JMLDGxL7Xk9oplvcUxvVwzL9eWJodbI7O6fnYnf20dp37/4We/aW5LM3Otebx88YSD676lSZdJFClmqTWNRnyZ5XJ+y2s+BaFNGsK50lDOQUcO7WXR/BkZcY7THmdePsC1fxZoX2fpb7MIux3KpF/ma/17rgpgu8xtmwXh+5oQuhT4joWlS5cSHByMkZERbm5ueHl5ERgYSFxcHF5eqvvAUlNT+eKLLxg+fHi2PBwdHXn69CmtW7emdevWrF69GltbW8LCwvD29ubly9y/bGT9Qa5QKNQdE6mpqZQuXZrDhw9nWy/zyIdixYrpsec5y5xX+lwN2X9IZZyIixQpkmueFStWxNrammXLltG2bVtMTVVXk/K6fzmVkTZTp05lwoQJGsuGDPPhq+HfZEtboqQ5RkZG2a4CJyTEZ+vZTmdpmb2HOyE+HmNjY0qUNFfFryXNo3jdeWpT972GVHapqn6fPjFnXFwMlpl6hhPi47NdLchMWywJ8XHqK++qMjDOniYhLltvdk5eV1m+CnXea0Rll4xOvqQk1bEZHxeLpZWNevmjhLgc60hrvSbEZRvFUMjEBPsyqvuKK1Z2JfT6FQJ2bGLQ0O/yFG9JdVlqXt1IiNddJxaWVtnKPj4hvSwzhnEaGRlRukxZACpUrMTdsDA2b1yXp44FaZOv8vjWbJPJ6rLUbJMJ8XHZRkdkpq3eE+Ljs7XJfyu9LLXVia5tWeqILWub/LeO/hPD5Wun1e9NTVR3YlpZmhITl/E5bGlukm0UQ2af9y7Pn4ci2LVXddXz5p2nFC5szHdDq/D7xjCN3+ilbM2oU9OSMVPzf/tLXiVGRGcbeWBqa0VqUhIvY+JVaR5GY2Zvo5HGzM4q20iHnDi5NaOrY8bFjpRkVVk9fxxNsZIZc1M8fxJD0RLar04+ir3L47j77FkxRL1MqVR9Xi/+vhrdv/2D4ub2KIyMeZ5ldMLzJzHZRjHkpCC3SUM4VxrKOajOe42opCXOrJ/fCQnx2UZbZI0zfbRDxjra28rS32Zx+uQxJkybi7WN7nlZtCnI7TJrjAXx+5ohUSqlS+VNKrBzLEDGPAuzZ8/Gy8sLhUKBl5cXhw8fVs+vAODp6cmlS5eoVKlStpepqSlXr14lOjqaadOm0bhxY1xdXbNdTU//IZ2SkqJXjJ6enjx8+JBChQpl27aNjU3uGehgamqap1jS9/Ho0Yz7NpOSkjh9+jRVq6o+MGvUqMGRI0dyfBqFjY0NBw8eJDQ0lO7du6vTvq79Gz16NAkJCRqvgV8M05rWxMSEipVcCD53WmN58LnTuFbVfk98FddqWtKfomJlFwql3e9axbUawUGaaYLOndKZpzZFihaldJly6peDozMWllacz7TtpKQkLl0MxqWqu858tMUSfO4ULmmxqMqgSrZ9On/udI75ZvW6yvJVKFK0KPZlyqlf5RzLY2FpzflzGRORJiclcfliEFVyLEt3jXUAzp/7J8d1AFBmfBnKi4w6OaOxPOjcGZ1l6VrVjaCs6c+eplLlKrmUpTLPsUmbfH3HdzkdZXk5D2V5PkizTarKMu/llBe66iT43BlcdWzLxdVNSxs+/cqP7+fPU7gf/kL9uhX2jOjYROp6ZHyJL1RIgYe7BRevPtKZT2EzI5RZpttOTVUNds16Fa9tS3viEl5y4pT2+Rdepfi/g7Bp8b7GMttWjUg4cxFl2r3NcX8HYdNCc84Cm5aNiDuR9zkLTAsXx9zGSf2yLFWJoiVsuXf9uDpNSvJLwm+eopRTLa15WNhW4GOfHXQdsU39cnZrTpmK79F1xDaKm9tjXMgU27LVNPIFuHf9OKWcteerTUFuk4ZwrjSUc5DuODO2mZT2+Z1znO4a+6YtTqVSyZKFszh5/C/GTZ5NKfsyesdbkNulZowF8/uaELoU6I6F9HkWVq9eTdOmTQFVZ8PZs2fV8ysAjBo1ihMnTvDVV18RFBTE9evX2bFjB8OGqX6oOjo6Ympqyty5c7l58yY7duxg0qRJGttycnJCoVCwa9cuoqKiePIk98c0AbRs2ZIGDRrQsWNH/vzzT27fvs3x48cZO3Ysp0+fzj0DHZydnTl58iS3b98mOjpa59X/YsWKMWTIEL799lv27NnD5cuXGThwIM+ePWPAgAEADB06lEePHvHJJ59w+vRprl+/zqpVqwgJ0ZxB187OjoMHD3L16lV69OhBcnLya9s/MzMzSpYsqfHK6TaIjzp9zIG9uzmwN4B7YXdYtnge0VERtE57fvDqFYv51XeKOr13m/ZERUaw3G8+98LucGBvAAf2BtChc3d1mnbtuxB09hRbN63l3t07bN20lvNBZ2jXIf/PHFYoFLTr8DFbNq7h5PG/CLt9k3mzpmJmZkZjr5bqdHN8J7N6xWL1+7btuxJ89jTb0mLZpo4l49nCH3XqllYGu7kXdpvli+cRHRWpLoO8eh1lmZSUxK3Q69wKvU5ycjKxMdHcCr1O+IN7epdhOoVCQZsOH7N90yr+OR5I2O2bLJg9GTMzMxp5ZTzCbZ7vJNau+E39/sP2H3P+3Cn8N6/m/t07+G9ezYWg07Tp0E2dZt3KRVy5GExkRDhht0NZ//siLl08R6OmrdFHh05d2fdnAPv3/sHdsDssWbyA6KhIPmjzEQC/L1/CrBkZk5h+0OYjoiIjWbp4AXfD7rB/7x/s3/sHHTtnxLZ5w1qCzp7mYfgD7t0Nw3/rJg4d2IdXsxZ6lyH8d9vk6zq+23b4mK0bV6vLcr66LFup083xncyaFYvU79uoy3IN9+/eYdumNVwIOk3bTGX5/Pkz9TEEqonkboVe1/txdO07fcz+vQHs3xvA3bA7LFs8n+ioCLzT2uSqFX5ay3KZ3/y0Nqkqy8xtUnV83+BW6A2Sk5OJiYnmVugNwh/c168As9i04z59PnakSX1ryjsWZcwIFxITU9gbmNHxP3akC1/0zbg96dg/MXRsU4YWjW0pXaowdTws+bxXeY7+E0Pmj0mFAtq0tGfPwQhSdA+e08m4WFFK1nSlZE1XAIqWL0fJmq4UdigNgMvPPtRcPl2d/s7i9RRxKkPV//ue4q4VKNevCw6fdeHmzGXqNLfn/Y5Nq4ZU+GYgxVwqUOGbgdi0aMDtuSv1D1C9nwqqN+rLuYOLuHVxH7EPr3F442gKmRSmkkc7dbqD60dx8g/VkPpCJmZY2VfReJkWLoGpWTGs7KtgXEh1oaV6435c/WczV09tIS4ilOM7pvIkPhy3+p/oFaOhtElDOFcawjkoI85ubN2UKc7ZU9I+vzPinOv7M2syfX63bd+V4HOn2L5ZFef2zdnjXLJwJkcO7+V/3/5E4aJFiYuLIS4uJtvttbkxhHZpKN/XhEhX4LuvmjVrxtmzZ9WdCJaWlri5ufHgwQONK/KBgYGMGTOGxo0bo1QqqVixIt27qw4kW1tbVqxYwQ8//MCcOXPw9PRkxowZtG+fcUIvW7YsEyZM4Pvvv+ezzz6jb9++rFixItf4FAoFAQEBjBkzhv79+xMVFYW9vT1NmjShVKlS+d7vb775hk8//RQ3NzeeP3/OrVu3dKadNm0aqamp9OnTh8ePH1OnTh3+/PNPLNOGxVlbW3Pw4EG+/fZbvLy8MDY2xsPDQ2NehnT29vYcPHiQpk2b0qtXL9auXfta9k9fjZo05/GjR2xct5K42FgcncozZsJ07OxUk1vGxcYQnWlypVL2pRk7YRrL/Obzx67tWFlbM+CLYTTI9BglVzd3fEb9xLpVS1m/ehml7Mvw9ahxVHHNec6N3HTs2oOXLxNZvGAWT588obJLVX6aNIMiRYuq00RHRaJQZPTrpceydtVS1q9eSin7MviMGq8RS8MmzXn8KIFN634nLjYGR6fy/JCpDPLqdZRlXGw0Xw8fqH7vv3UD/ls3UK16TSZN+1Wv+DJr36UXLxMTWbpwJk+fPKaSixs/TJylUZYxUREYGWWUpUvV6vzvu/FsWO3HhtVLKGVflv+Nmkhll4we/oT4WObPnERcbAxFixXD0bkiP0zwpUaW2Zdz09irGY8fP2LD2lXExsbi5OzMTxOmYpd2bMTFxRAdlfEjqZR9aX6aOIWlixcQsGsHVtbWfP7FUN5v1ESd5sWLF/y2YA4x0VGYmppR1sGBkd+MprFXM73LL91/sU2+vuO7Jy9fJuK3YKa6LH+c5JulLCMwynT53NWtOiNHjWPdqiVsSCvLkVnKMvR6CONH/0/9fuWSeQA0bfEBQ31+yHN8GWX5e1pZOjN2wjSNsozK0ibHTpjKcr8F/LHLX8fxHYOPjuP752mz8xxbVmu23MXM1AifIZUpUdyEy9ceMfKn8zx/njFar5RtYY3nga/ccAelEgb2Lo+ttSnxj5I49k8Mi1dpfkbW8bDE3q4wu/flb9JG89ruNDiwSv3ebYaqDu7+vpXzA0ZjVtqWImmdDADPb9/j1EeDcPMdjdOQXiQ+iOTSyMk83JbxaNy4E+c418sHlwkjcJkwnGehdznXcyTx/5zPV4zpajb9nOSkFxzdNpHE5wnYOdSg7cClmBYurk7zJP6B3vfTV/JoQ+KzeM7sn8+zR1FY2Vfmw/6LKGFZVq98DKlNFvRzpSrGgn0OStehS09eJiayZKEvT588oZJLVcZOnJktToVRRpwuVasz4rtxrF+9hPWrl2BvX5aRoyZofH7vDdgOwPjRmrc/fzliNM1atslzfIbQLg3p+1pBpccUNuIVUCiVUuSiYLh0I/xth5AnhjDDrCKn2c8KiCRlge/XBKCwkX5XQd6GZAMoS0NokwCpBXsgHwDG6HfL3tswaOT1tx1CnozeM+hth5CrkM1X33YIufqgmmF8fhvC8W0I3zEM5b71QoqC/4hFQ6jvapVK556ogDp04flb23az6rnPcfeuKfjfRoUQQgghhBBCCD2kGkDHzbuk4HfdvoPCwsIoXry4zldYWPZHZgkhhBBCCCGEEAWRjFh4C8qUKUNQUFCOfxdCCCGEEEIIkT+GctvOu0I6Ft6C9Ec3CiGEEEIIIYQQhk5uhRBCCCGEEEIIIUS+yYgFIYQQQgghhBDvFHn24ZslIxaEEEIIIYQQQgiRbzJiQQghhBBCCCHEO0Upj5t8o2TEghBCCCGEEEIIIfJNOhaEEEIIIYQQQgiRb3IrhBBCCCGEEEKId0qqTN74RsmIBSGEEEIIIYQQQuSbjFgQQgghhBBCCPFOUSpl8sY3SUYsCCGEEEIIIYQQIt9kxIIQQgghhBBCiHeKUuZYeKOkY0EUGPKs2Vcn1QAGIxVSpLztEPIkRWn8tkPIlRw7r44xBb9dplDw2+SUaXXedgh5cvrzq287hFy5dHV92yHkKvVK4NsOIU8M4VxZSJH8tkPIlSF8xwBIVhb8nznGBvJdSIi8MIwzgxBCCCGEEEIIIQqkgt+VJ4QQQgghhBBC6CHVAEYpvUtkxIIQQgghhBBCCCHyTUYsCCGEEEIIIYR4p8jkjW+WjFgQQgghhBBCCCFEvknHghBCCCGEEEIIIfJNboUQQgghhBBCCPFOUSpl8sY3SUYsCCGEEEIIIYQQIt9kxIIQQgghhBBCiHdKqkze+EbJiAUhhBBCCCGEEELkm4xYEEIIIYQQQgjxTpHHTb5ZMmJBCCGEEEIIIYQQ+SYdC0IIIYQQQgghhMg3uRVCCCGEEEIIIcQ7RYk8bvJNeudHLDRt2pQRI0a87TBytGLFCiwsLN5qDAqFgu3btwNw+/ZtFAoFQUFBeVq3X79+dOzY8bXFJoQQQgghhBCi4HpnRiwcPnyYZs2aERcX99Z/pOure/futGnTRq91mjZtioeHB7Nnz37l8Tg4OBAeHo6Njc0rz/vfUiqVbFy7gn17dvL0yWMqu7jx+ZARODqVz3G9E8cCWb9qKQ/DH2Bfugw9+37Oe+830UizZ9c2/LeuJy42FgdHZz4bNBQ395rvcIzL2Z8WYyUXNwYOGYlDLjH+feywRow9+g7UiPHyxSD8t6zn5o0Q4mJj+G7sZOo1aKx3fJpxFuyy/GPX9rR8YnBwLE//QUNxc6+hM/2lC0Es91vA3bBbWFnZ0LHrJ3i36aD+e9idW6xfvZzQGyFERUbw2cCv+Kjjx3rHlZkh1Le+9XHpQhAr/OZzN+w2llbWdOzaQ6McIW/tQF9/7NrO9q0b0urbmQG51PdFdX3fVtf3B23aq/8educW61YvJ/TGNaIiI+g/8Cs+6tj1X8VoCPWdHufODYv4a99Wnj19TPnK7vQc+D1lHSvqXOd+WCg71i/kTugVYqLC6f7Z17T8qJdGmmuXzvCn/+/cCb1CQlw0X47ypdZ7zfId45l987hyciOJzx9h51iDRh1/wsq+cp7WvxG0mwNrv8a5Wgu8P52v8bdLx9cSHLiUZ4+jsCxViffb/0Dp8nX0is+qUR0qfD0Ac093Cpex43SXL4nYcSDndRrXxW3G9xR3q0zig0hCfZcQtni9Rhr7Tq2pMv5/FK3oyLPQMEJ+mkWE/369YsvKEM7nhnDsBOzyZ/uWtHOQkzMDBn1FtRzPQcEs81vA3Tu3sbK2oVOX7nzQNuMctHfPLg4d2EfYnVsAVKxUhd6fDqCKS9V8xQeG8bkIqvretHY5+//cwZMnj6lcxY3Ph/jkrb5XLyEi/AGlSpehR59BGvW9beMqTp74i/v37mBqaoZLVXd69RtC2XKOesdoKGVZUMnjJt+sd37EwuuQlJT0SvMrUqQIdnZ2rzTPvHr58mW2ZcbGxtjb21OoUMHrd9q+eR07t23k88EjmD5rERaWVkwc+zXPnz3TuU7IlYvMnDYBr+at8Z23VPXvtPFcu3pZnebYXwdZ7jePLt37MGOOH1XdazB53CiiIiPe0RjXsmvbRgYMHsG0WYvTYvTJU4xNmnvjO28ZTZp7M3PaOI0YX7x4gXP5igwYPELvmLTHWbDL8qg6n974zllCVffq/DzuO535RDwM5+dx31PVvTq+c5bQuXsvli6ay4ljgeo0iYmJlLIvTZ9+g7CwtNIrHl0Ken3rWx8RD8OZPG4UVd1rMGOOH12692bZojka5ZiXdqCvo38dZJnffLp2743vHD/c3GswKZc4fx43Gjf3GvjO8aOLzvouQ59+g7D8j9R3uj3bVrJv5xp6DhzFmOmrMLewZtaEIbx4/lTnOi8TX2BTqiyd+wzH3EJ753di4gvKOVeh58BR/zrG4MNLOH9kBQ07/kjn4ZsoWsKW3X79efniSa7rPo67z9+7f8FeS2fBjaAAju+cSq3mg+nyv23Yl69DwNJBPI57oFd8xsWK8uh8CJf+NzFP6Ys4l6PuzsXEHj3D0boduTH9N6rNGoN9p9bqNBb1Pai1dhb31/hzpHYH7q/xx3PdbCzq6f4xkxcF/XyuirFgHztHAw+xbPF8Pu7ei5lzF+NWrTqTfvo+x3PQpJ9G41atOjPnLqZrt54sWTSP40f/Uqe5eD6Yxl7NmTR1JtN952Fra8f4sd8REx2VvxgN5HMRwH/LWnZt38CAwSOZNtMPC0srJv04Mtf6njV9PF7NvJkxdzlezbyZNf0nrodcUqe5dDEI77admDJjET9OmkVKSgo//+jDixfP9YrPkMpSCHiNHQs7d+7EwsKC1NRUAIKCglAoFHz77bfqNF988QU9evQA4Pjx4zRp0oQiRYrg4ODA8OHDefo048vF6tWrqVOnDiVKlMDe3p6ePXsSGRkJqIbuN2umuhphaWmJQqGgX79+6nVTU1P57rvvsLKywt7envHjx2vEmpCQwKBBg7Czs6NkyZI0b96c4OBg9d/Hjx+Ph4cHy5Yto0KFCpiZmaHM4fkl+u571lsh0re3atUqnJ2dMTc355NPPuHx48eA6taDwMBAfv31VxQKBQqFgtu3bwNw+fJl2rRpQ/HixSlVqhR9+vQhOjpanXfTpk0ZOnQoPj4+2NjY0KpVq2zxa7sV4tKlS7Rt25aSJUtSokQJGjduTGhoqMZ6M2bMoHTp0lhbW/PVV1+98g4YpVLJLv9NdOneh/oNm+DoXIFhPqNJTEzkSKDuKym7/DdTs1ZtOnfrTTkHJzp36031mrXZ5b9JnWbnto00b92Glt7tKOfoTP9Bw7C2seXPAP93Msbd/pvo3L0P9Rt6pcX4Q1qM+3Sut9t/EzVq1aFzt96UzRTj7kwxetapT4++A6nf0EuvmHTFWdDLcue2TbRo3YZW3u0o5+jEgEHDsLax05nPnwE7sLG1Y8CgYZRzdKKVdzuat/oQ/60b1GkqV3Hl0wFDaOTVAhMTE73i0cYQ6lvf+tgb4I+NrR39Bw2jnKMzLb3b0bxVG3Zszbjqmpd2oK8d6vpui4OjEwMGDcXaxo49ATu0ps+o76E4ODrRyrstzVt9yPatG9VpKldxpd+AwTT2ak6h/0h9p8d5YNda2nQZgGf9FpR1qsRnwyfyMvEFJ//6Q+d65StX4+NPR1KvkbfO8qru2ZBOPb/Cs36Lfx3jhaO/49l8MBWqt8bKvgrNuk8jOekFN4J25bhuamoKB9d9S51WwyhpVS7b3y8cWYFr3S5Ufe9jLEtVpGH7HyhuYc/lv9fpFWPUn39xbdxsHm7XXbeZOQ36hBdh4Vz+egpPrt7k7rLN3F2xlQo+/dVpyg/7lOj9xwn9ZTFPQ24S+stiog/+jfOwT/WKLTNDOJ8bwrHjv20TLVt/SKsPVOegz78Yio2tHXt2az8H7QnYia2dHZ9/kXYO+qAtLVp9iH+mc5DPd2No064DFSpWopyDI18O/xplqpLzwefyFaMhfC5Cen1vpHP3vrz3vqq+h/qMITExkaM51fcOVX136taHsg5OdOrWB/cs9T12oi/NWrbBwak8zhUq8eWI0URHRXDzRoheMRpKWYo3Ky4ujj59+mBubo65uTl9+vQhPj5eZ/qkpCRGjRpF9erVKVasGGXKlKFv3748eKDZkd20aVP178r01yeffKJXbK+tY6FJkyY8fvyYc+dUJ6bAwEBsbGwIDMzoNTt8+DBeXl5cuHABb29vOnfuzPnz59mwYQNHjx5l6NCh6rQvX75k0qRJBAcHs337dm7duqXuPHBwcGDLli0AhISEEB4ezq+//qped+XKlRQrVoyTJ0/yyy+/MHHiRPbtU500lEolbdu25eHDhwQEBHDmzBk8PT1p0aIFsbGx6jxu3LjBxo0b2bJlS65zD+iz77qEhoayfft2du3axa5duwgMDGTatGkA/PrrrzRo0ICBAwcSHh5OeHi4+vYFLy8vPDw8OH36NHv27CEiIoJu3bpp5L1y5UoKFSrEsWPHWLRoUY77AnD//n2aNGlC4cKFOXjwIGfOnKF///4kJyer0xw6dIjQ0FAOHTrEypUrWbFiBStWrMg1b31EPAwnPi6Wmp4ZV39MTEyp5l6TkCsXda537eolataqq7HMw7MuIVdUvctJSUmE3riGR5Y0NT3r5pivocYYqY4xIy8TE1Pc8hFjTc96em8/rwp6WaryCdG6ratXLmld59rVS3h4Zk1fj9DrIRrH06tU0Os7P/URcvWSxv6Aqtwzl2Nu7SD/cWpeffbwrMNVnXFexsNTM32tLHG+agW9vtNFR9wnIT6aah71NeKsUq02oSHnX8s29fU49h7PHkdRrkpD9TLjQqaUrlCXiDs5/+g6s38+hYtZ4Vov+20tKckvibp/SSNfgHKVGxJxO38/5vLKor4HUfuPaSyL2nsE89ruKNJGKVrW9yB6/1GNNNH7jmDZoFa+t1vQz+dQ8I8d9b5mOad41Kqj8zMn5MqlbOesWrXrcCOHc9DLxERSUpIpXrxEPmMs+J+LAJERafVdK2t9e+RS3xe17F/O9f0s7UJp8eIl8xyfIZVlQaZUvr3X69KzZ0+CgoLYs2cPe/bsISgoiD59+uhM/+zZM86ePcuPP/7I2bNn2bp1K9euXaN9+/bZ0mb+bRkeHp6n34mZvbax7ubm5nh4eHD48GFq167N4cOHGTlyJBMmTODx48c8ffqUa9eu0bRpU6ZMmULPnj3VkyxWrlyZOXPm4OXlxcKFCylcuDD9+2f0pleoUIE5c+ZQr149njx5QvHixbGyUg3nsbOzyzbHQo0aNRg3bpw673nz5nHgwAFatWrFoUOHuHDhApGRkZiZmQGqK+/bt29n8+bNDBo0CFB1bKxatQpbW9tXuu+6pKamsmLFCkqUUJ3Y+/Tpw4EDB5g8eTLm5uaYmppStGhR7O3t1essXLgQT09PpkyZol62bNkyHBwcuHbtGlWqVAGgUqVK/PLLL7nuR7r58+djbm7O+vXr1b2b6Xmls7S0ZN68eRgbG+Pq6krbtm05cOAAAwcO1JpnYmIiiYmJGsteJiZimlYH2sTHqTp6LCw0h26ZW1gSFaV7yGN8XCwWlpYayywsLdX5PX6UQGpqCuZZ8rWwyEiTV4YQY1xcjNYYLSysiIp6mO8YX7WCXpaqfFKxsNDclnkO+cTFxeKRJb2FhSUpKSk8epSAlZV1nrefVwW9vvNTH/FxsVrK3YqUlBQeP0rA0sr6lcevq75VccZpXScuLpZaUt9aJcSr4ixpoVkGJS2siIkKfy3b1Nezx6qh4EWKa8ZYpLg1T+J137Lw8PZZQk5tocuI7Vr//uJpHMrUlOz5lrDm2eNoreu8KmalbEiM0NzGy8gYjExMMLWxJPFhFGb2NiRGxGikSYyIwcw+9+8/uhT08zkU/GNH52eOpSVxOs+VcZhnjS2Xc9Dvy/2wsrahZq3ary7GAva5CBCfVt9Z2465hSXRkTnXd/Z1rHTun1KpZOWSebi61cDRuUKe4zOkshRvzpUrV9izZw9///037733HgB+fn40aNCAkJAQXFxcsq1jbm6uvqCebu7cudSrV4+wsDAcHTPm/sj621Jfr3WOhaZNm3L48GGUSiVHjhyhQ4cOuLu7c/ToUQ4dOkSpUqVwdXXlzJkzrFixguLFi6tf3t7epKamcuuWajKZc+fO0aFDB5ycnChRooT6R3lYWFiucdSooXlfYOnSpdW3UZw5c4YnT55gbW2tsf1bt25pDPV3cnLKU6eCvvuui7Ozs7pTIWvMupw5c4ZDhw5p7Ef6NjLvS506+k0OFRQUROPGjXMcMlWtWjWMjY3zHO/UqVPVQ3jSX0sWzdVI89ehffTq8oH6lZKi6m1VKLI+OkaJItfHyWj+XanMnk/WbJVKLQuzMIwY99K7i7f6lZKSoj2vPMSY9e9KpVLLvuaPIZSl1i1pySinbLKmV6Lq1n5VD0QylPrOti0960Nbu9CSKlue/zr+rPWnzLnZ6K7vV3XcGEZ9/x0YwNCeDdWv9OM7G+WrKxt9XT+7k6VjPdWv1PQYtZaB9hhfvnjCwXXf0qTLJIoUs9SaJiOLbJX02o4vze1kOVbSt5l5ubY0elyCM4TzuaEcO9k3pu0zJ4dzpZby07YcYOum9RwJPMj3Yydgamr6L0IsWJ+LAEcO7aV319bqV/oV/OxNMpeTOrr2T/s6S3+bRdjtUEZ8Ny5fcRfEsjQkb3PEQmJiIo8ePdJ4Zb2oqq8TJ05gbm6u7lQAqF+/Pubm5hw/fjzP+SQkJKBQKLJdjF+zZg02NjZUq1aNb775Rn0bfl691tn5mjZtytKlSwkODsbIyAg3Nze8vLwIDAwkLi5OfStAamoqX3zxBcOHD8+Wh6OjI0+fPqV169a0bt2a1atXY2trS1hYGN7e3lonH8wq6w9ihUKhnv8gNTWV0qVLc/jw4WzrZS7sYsWK6bHned/3/MSsS2pqKh999BHTp0/P9rfSpUur/6/vvhQpUiTXNPrGO3r0aHx8fDSW3biredWv7nsNqZxpVuL0ORvi4mKwzNTrmhAfn+1qQWYWltl7khPi4zBP69UtUdIcIyPj7GkS4rL1FGdlGDE2orKLm/p9sjrGWCytMiY/S4jPfmUja4xZr4okxMerY/y3DKEsM1PlY5S9TBLis13NSGepNbZ4jI2NKVHSPM/bzomh1He6/NSH9tjiNMoxt3aQvziNtMapK09LHWWoijPvQ2JzYij17VHPiwpV3NXv04/vR/ExWFhldNo/SojNNorhTXFya0ZXx4wLESnJqu8Xzx9HU6xkxgTLz5/EULSE9hgfxd7lcdx99qwYol6mVKo+Cxd/X43u3/5BcXN7FEbGPM8yOuH5k5hsoxhetcSI6GwjD0xtrUhNSuJlTLwqzcNozOw1J8Y0s7PKNtIhJ4ZwPjeUYyedznNQfHwO58rsV7cTEuK0noO2b9nA5o1rmDh5Bs7ldT+ZJS8xFrTPRYA67zWikpb6js9a3wnx2UatZKZqk5ojenR9Diz9bRanTx5jwrS5WNvoN0l7QS5LkTdTp05lwoQJGsvGjRuXba4/fTx8+FDrhP92dnY8fKh7pE1mL1684Pvvv6dnz56UzHQe6NWrF+XLl8fe3p6LFy8yevRogoODs412yMlrHbGQPtfA7Nmz8fLyQqFQ4OXlxeHDhzXmGPD09OTSpUtUqlQp28vU1JSrV68SHR3NtGnTaNy4Ma6urtmuhqf3rKb3OOeVp6cnDx8+pFChQtm2/W8et5jXfc8vU1PTbPuaXo7Ozs7Z9kXfzoTMatSowZEjR17pZIxmZmaULFlS45X1NogiRYtSukw59cvB0RkLSyvOnzutTpOUlMSli8G4VHXPugm1Kq7VCA46rbEs+NwpXKpWA1SdIhUrVSH4nGaa8+dO55ivocZYTkeMl/MQ4/mgU1pizHn7eWUIZZmZKh+XbPkEnzuNa9q2tMaWLf0pKlZ2eWVPYTGU+k6Xn/pwca2msT8AQVnKMbd28KriDD53BledcboRfO5MljhP/yfru3CRYtiVdlS/yjhUwNzChsvBf6vTJCclce3SGSq6/LunD+SXaeHimNs4qV+WpSpRtIQt965nXAVKSX5J+M1TlHKqpTUPC9sKfOyzg64jtqlfzm7NKVPxPbqO2EZxc3uMC5liW7aaRr4A964fp5Sz9nxflfi/g7Bp8b7GMttWjUg4cxFl2hXcuL+DsGmhOf+DTctGxJ3I+/wPhnA+N5RjJ136vgZlO6ec0fmZ41K1Wvb0Z09TKcs5aNvm9Wxct5pxk6ZTqUr2odT6xVjwPhchp/rOqDtVfQflUt/u2T5/sta3UqlkycJZnDz+F+Mmz6aUfRm94y3IZSnyZvTo0SQkJGi8Ro8erTXt+PHjs02cmPV1+rSqbrWNjsnrKKmkpCQ++eQTUlNTWbBggcbfBg4cSMuWLXF3d+eTTz5h8+bN7N+/n7Nnz+Z5n19rx0L6XAOrV69W37rQpEkTzp49qzHHwKhRozhx4gRfffUVQUFBXL9+nR07djBs2DBANWrB1NSUuXPncvPmTXbs2MGkSZM0tuXk5IRCoWDXrl1ERUXx5Enuj4ICaNmyJQ0aNKBjx478+eef3L59m+PHjzN27Fh1Bb7Ofc8vZ2dnTp48ye3bt4mOjiY1NZWvvvqK2NhYevTowT///MPNmzfZu3cv/fv317vDJbOhQ4fy6NEjPvnkE06fPs3169dZtWoVISH6zW77bykUCtp1+JgtG9dw8vhfhN2+ybxZUzEzM6OxV0t1ujm+k1m9YrH6fdv2XQk+e5ptm9Zy7+4dtm1ay/mgM7TrkPHc3o86dePA3t0c2Lube2G3Wb54HtFRkbTO9Lz5dynGth0+ZuvG1eoY56tjzHhKyBzfyaxZkTFpSxt1jGu4f/cO2zat4ULQadpmivH582fcCr3OrdDrgGrCrluh1/P12C9DKMuPOn2clk8A98LusGzxPKKjItT5rF6xmF99M+Y88W7TnqjICJb7zede2B0O7A3gwN4AOnTurk6TlJSkLsPk5GRiY6K5FXqd8Af39C5DMIz6zq0+Vq9YzBzfyer0rdt0SCvHedwLu82Bvbs5uDeA9p0zZi/OSzvQV/tOH7N/bwD79wZwN+wOyxbPJzoqAu82HwGwaoWf1vpe5jefu2F32J9W3x07Z0yoq6rvG9wKvUFycjIxMdHcCr1B+IP7+YrREOo7Pc4W7XoSsGUZZ/8+yP07N1g+bxymZoV5r8mH6nRLf/2RraszbpNLTkoi7FYIYbdCSE5OIi42krBbIUSGZ9wW+eL5M3UagOjI+4TdCtF77gaFQkH1Rn05d3ARty7uI/bhNQ5vHE0hk8JU8minTndw/ShO/uELQCETM6zsq2i8TAuXwNSsGFb2VTAupLoIUr1xP67+s5mrp7YQFxHK8R1TeRIfjlt9/WbgNi5WlJI1XSlZU3XbY9Hy5ShZ05XCDqpRii4/+1BzecYoxjuL11PEqQxV/+97irtWoFy/Ljh81oWbM5ep09ye9zs2rRpS4ZuBFHOpQIVvBmLTogG3567UK7bMDOF8bgjHTodOH7P/zwD27/2Du2F3WJr1HLTcj9kzpqrTf9DmI9U5aPGCtHPQH+zf+wcdMp2Dtm5az5rflzN0xLfY2dkTFxtLXGwsz5/r92jEdIbwuQjp9d2NrZsy1ffsKZiZmdEoU33P9f2ZNSt+U79v274rwedOsX2zqr63b85e30sWzuTI4b3879ufKFy0KHFxMcTFxeg9DN5QyrIgS1Uq3tpL20VUMx1zyQ0dOpQrV67k+HJ3d8fe3p6IiOznjaioKEqVKpVjWSQlJdGtWzdu3brFvn37NEYraOPp6YmJiQnXr1/Pc3m/9u6rZs2acfbsWfUPaUtLS9zc3Hjw4AFVq6qGydWoUYPAwEDGjBlD48aNUSqVVKxYke7dVQeCra0tK1as4IcffmDOnDl4enoyY8YMjdksy5Yty4QJE/j+++/57LPP6Nu3b56eSqBQKAgICGDMmDH079+fqKgo7O3tadKkSa4V9Cr2Pb+++eYbPv30U9zc3Hj+/Dm3bt3C2dmZY8eOMWrUKLy9vUlMTMTJyYkPPvgAI6P89yFZW1tz8OBBvv32W7y8vDA2NsbDw4OGDRvmvvIr1rFrD16+TGTxglk8ffKEyi5V+WnSDIoULapOEx0ViUKRsb+ubu74jPqJtauWsn71UkrZl8Fn1HiquGYMiWvYpDmPHyWwad3vxMXG4OhUnh8mTMfOTv8JTAwjxp68fJmI34KZ6hh/nOSbJcYIjDL1frq6VWfkqHGsW7WEDWkxjswSY+j1EMaP/p/6/col8wBo2uIDhvr8kI84C3ZZNmrSnMePHrFx3UriYmNxdCrPmEz5xMXGEJ1pYrJS9qUZO2Eay/zm88eu7VhZWzPgi2E0yPQIsrjYaL4enjHpqf/WDfhv3UC16jWZNO1XveJLV9DrO7f6UJVjxii1UvalGTNhOsv95rEnrRz7fzFcoxzz0g70lVHfv6fVtzNjJ0zTiDMqS5xjJ0xlud8C/tjlr6O+Y/DRUd8/T5udrzgLen2n+6DTpyS9fMHaxdN4+vQRFSq7M/KnBRQukjHCLjb6IYpMn1/xcVFM+rqH+v1e/1Xs9V9FlWq1+XaSHwB3Qi8z46dB6jQbl88EoEGzj+g/THNYam5qNv2c5KQXHN02kcTnCdg51KDtwKWYFi6uTvMk/oHe99NX8mhD4rN4zuyfz7NHUVjZV+bD/osoYVlWr3zMa7vT4MAq9Xu3Gap6uPv7Vs4PGI1ZaVuKOGTcCvn89j1OfTQIN9/ROA3pReKDSC6NnMzDbXvVaeJOnONcLx9cJozAZcJwnoXe5VzPkcT/8++e1lHQz+eqGAv2sdPIqxmPHj9iw9q0c5CzMz9OmIpdKdW+xsbFZjsH/ThxKssWzycg7Rz0+RdDeb9RE3WaP3b7k5ycxC9Txmtsq3vPvvTo3S/PsaljNJDPRYAOXXryMjGRJQt9efrkCZVcqjJ24sxs9a0wyqhvl6rVGfHdONavXsL61Uuwty/LyFETqOySMYpgb8B2AMaP1rzF+8sRo2nWsk2e4zOkshT/jo2NTZ5Gyjdo0ICEhAT++ecf6tWrB8DJkydJSEjg/fff17leeqfC9evXOXToENbWud92d+nSJZKSkjRup8+NQql8nQ/EECLvLt7I271BIndKA5imR6F1sr2CxxDiTH29g89eCUMoRwAjcp7LpiBIwTj3RG9ZXGLx3BMVAKdvFM090Vvm0lX3RM8FhdOVwLcdQp4YwmdjIUXBfyxgqrLgf+YApCgL/rnSWJH/EcVvSrVKef9hWdCsO/b2vnv0aPh6zjcffvghDx48UD8KctCgQTg5ObFz5051GldXV6ZOnUqnTp1ITk6mS5cunD17ll27dmlcOLeyssLU1JTQ0FDWrFlDmzZtsLGx4fLly3z99dcUKVKEU6dOaUzQnxPDODMIIYQQQgghhBD/YWvWrKF69erqBxvUqFGDVatWaaQJCQkhISEBgHv37rFjxw7u3buHh4cHpUuXVr/SnyRhamrKgQMH8Pb2xsXFheHDh9O6dWv279+f504FeAO3QryLwsLCcHPTPZz28uXLGs8EFUIIIYQQQgjx5ryL4/KtrKxYvXp1jmky35Dg7OxMbjcoODg4EBj470eeScdCPpQpU4agoKAc/y6EEEIIIYQQQvwXSMdCPqQ/mlIIIYQQQgghhPivk44FIYQQQgghhBDvlNR38FaIgkwmbxRCCCGEEEIIIUS+yYgFIYQQQgghhBDvFKWy4D9i9l0iIxaEEEIIIYQQQgiRb9KxIIQQQgghhBBCiHyTWyGEEEIIIYQQQrxTlDJ54xslIxaEEEIIIYQQQgiRbzJiQQghhBBCCCHEO0UeN/lmyYgFIYQQQgghhBBC5JuMWBBCCCGEEEII8U6RORbeLBmxIIQQQgghhBBCiHyTEQuiwFAg3YqvihGpbzuEXKUaSL+mEsXbDiFXhlDf4r/F0uzJ2w4hTz6olvC2Q8hV6pXAtx1Cru5U9XrbIeTJsd/Ov+0QcqUo+B859PaKftsh5EmSsuD/zDEygO8YQuRVwT/ihBBCCCGEEEIIPcitEG+WYVwyFEIIIYQQQgghRIEkIxaEEEIIIYQQQrxT5HGTb5aMWBBCCCGEEEIIIUS+SceCEEIIIYQQQggh8k1uhRBCCCGEEEII8U6RyRvfLBmxIIQQQgghhBBCiHyTEQtCCCGEEEIIId4pqalvO4L/FhmxIIQQQgghhBBCiHyTEQtCCCGEEEIIId4pMsfCmyUjFoQQQgghhBBCCJFv0rEghBBCCCGEEEKIfJNbIYQQQgghhBBCvFPkVog3S0Ys6OH27dsoFAqCgoLedih5olAo2L59+7/KY/z48Xh4eLySeIQQQgghhBBCvHtkxMIb0Lp1aw4cOMCxY8eoX7++3usrFAq2bdtGx44dX31wBuSPXdvx37qeuNgYHBzL03/QUNzca+hMf+lCEMv9FnA37BZWVjZ07PoJ3m06qP8educW61cvJ/RGCFGREXw28Cs+6vhxgYsT4MSxQNatWsbD8AfYly5Dz76fU//9xv8qxu1bN6TF6MyAXGK8qI7xtjrGD9q0V/897M4t1q1eTuiNa0RFRtB/4Fd81LFrvuNLp1Qq2bh2Bfv27OTpk8dUdnHj8yEjcHQqn+N6J44Fsn7VUo3yeu/9Jhpp9uzallZPsTg4OvPZoKG4udfUO0Z987l0IYgVfvO5G3YbSytrOnbtobW+c4tfH4bSJgt6jOlxFvRjR3XcLGd/2nFTycWNgUNG4pDLcfP3scMa7a5H34Ea7e7yxSD8t6zn5o0Q4mJj+G7sZOo1yH95GkKchlPfBfc8adWoDhW+HoC5pzuFy9hxusuXROw4kPM6jeviNuN7irtVJvFBJKG+SwhbvF4jjX2n1lQZ/z+KVnTkWWgYIT/NIsJ/v16xadOiljF1XYwpYgZ3o5TsOJ5MZLzuy56elY3o2sQk2/KfViSSnKL6v7O9gsbVjSlrbUTJYgpW7U/iyp38PweveXqMpqoYd57IOcZalbTHOG5lRowA77ka0ah6IUoUgch4JbtPJnMnQv9LvgG7/Nm+Je24cXJmwKCvqJbjcRPMMr8F3L1zGytrGzp16c4HbTOOm717dnHowD7C7twCoGKlKvT+dABVXKrqHVtmSqWSzWuXceDPHTx58pjKVdzoP8QHB6cKOa538thhNqxeQkT4fUqVLssnfQZS730v9d+3bVzFPycCeXDvDqamZlSpWp1e/YZQppxjvmIsyMd3QZcqIxbeqHdyxMLLly/fdghqYWFhnDhxgqFDh7J06dK3HY7BOvrXQZb7zaNL9974zllCVffq/DzuO6IiI7Smj3gYzs/jvqeqe3V85yyhc/deLF00lxPHAtVpEhMTKWVfmj79BmFhaVVg4wy5cgnfaRPwat6amfOW4NW8Nb7TxnPt6uV8x7jMbz5du/fGd44fbu41mDRuVC4xjsbNvQa+c/zoorMsy9Cn3yAsX1FZAmzfvI6d2zby+eARTJ+1CAtLKyaO/Zrnz57pXCfkykVmppWX77ylWsvrmLqe+jBjjh9V3WswOYcy0EXffCIehjN53Ciqutdgxhw/unTvzbJFc7LUd+7x68NQ2mRBjzE9TkM4drZvXsuubRsZMHgE02YtTjtufPJ03DRp7o3vvGU0ae7NzGnjNMrrxYsXOJevyIDBI/4TcRpOfRfs86RxsaI8Oh/Cpf9NzFP6Is7lqLtzMbFHz3C0bkduTP+NarPGYN+ptTqNRX0Paq2dxf01/hyp3YH7a/zxXDcbi3q6f7zmRZMaxjR0N2bniWQW7EjiyXMl/T8wwTT7b3INL14qmbI2UeOV+Qe7aSEFD2NVHQD/VuPqxjSsphnjZx+YYJrLpcIXL5VMXZeo8cocY/XyRrR5rxCBwcnM90/idkQqn7Y2wbyYfvEdDTzEssXz+bh7L2bOXYxbtepM+un7HI+bST+Nxq1adWbOXUzXbj1Zsmgex4/+pU5z8Xwwjb2aM2nqTKb7zsPW1o7xY78jJjpKv+Cy2LFlDbu3b+CzwT5MmbkEc0trJv84Msdj59qVi8yePo7Gzbz5Ze4KGjfzZvb0n7geckmd5srFc3i37czPMxYxZtIsUlNSmPzjSF68eK53jAX9+BYis3eiY6Fp06YMHToUHx8fbGxsaNWqFYGBgdSrVw8zMzNKly7N999/T3Jyxgl9z549NGrUCAsLC6ytrWnXrh2hoaEa+f7zzz/UqlWLwoULU6dOHc6dO6d3bMuXL6ddu3YMGTKEDRs28PTpU42/Ozs7M3v2bI1lHh4ejB8/Xv13gE6dOqFQKNTvARYuXEjFihUxNTXFxcWFVatWZdt+eHg4H374IUWKFKF8+fJs2rRJ4++jRo2iSpUqFC1alAoVKvDjjz+SlJSULZ9Vq1bh7OyMubk5n3zyCY8fP1b/rWnTpgwfPpzvvvsOKysr7O3t1fG/Kju3baJF6za08m5HOUcnBgwahrWNHX8G+GtN/2fADmxs7RgwaBjlHJ1o5d2O5q0+xH/rBnWaylVc+XTAEBp5tcDEJJdvDW8xzp3+m6lZqw5duvWinIMTXbr1onpNT3b5b85XjDvUMbbFwdGJAYOGYm1jx56AHbnEOBQHRydaebeleasP2b51ozpN5Squ9BswmMZezSn0ispSqVSyy38TXbr3oX7DJjg6V2CYz2gSExM5Eqj7qtQu/83UrFWbzt16U87Bic7delO9Zm12+We0/Z3bNtK8dRtaerejnKMz/QcNw9rGVmc96aJvPnsD/LGxtaP/oGGUc3SmpXc7mrdqw46tGVfi8hK/fjEW/DZpCDGCYRw7SqWS3f6b6Ny9D/UbeqUdNz+kHTf7dK63238TNWrVoXO33pTN1O52Z2p3nnXq06PvQOo39NKZz7sUp6HUd0E/T0b9+RfXxs3m4Xbd9ZqZ06BPeBEWzuWvp/Dk6k3uLtvM3RVbqeDTX52m/LBPid5/nNBfFvM05Cahvywm+uDfOA/7VK/Ysnq/mjGHg1O4dCeViDglmwKTMSkEHhVy/rqsVMKT55qvzK7dS2XfGVW+/1bDtBgv30klMl7J5r+SMTGGmhX/XYwN3Y05cy2V09dSiUpQEnAyhYSnSt5zNdYrPv9tm2jZ+kNafaA6bj7/Yig2tnbs2a39uNkTsBNbOzs+/yLtuPmgLS1afYh/puPG57sxtGnXgQoVK1HOwZEvh3+NMlXJ+WD9v5enUyqVBPhvolP3vrz3vuoc9JXPGBITEzkauFfnegE7NlKjVh06detDWQcnOnXrg3vN2gT4Z8T7w8SZNG3ZBgenCjhXqMyQEaOJjorg5o0QvWMs6Me3EJm9Ex0LACtXrqRQoUIcO3aMKVOm0KZNG+rWrUtwcDALFy5k6dKl/Pzzz+r0T58+xcfHh1OnTnHgwAGMjIzo1KkTqamp6r+3a9cOFxcXzpw5w/jx4/nmm2/0ikmpVLJ8+XJ69+6Nq6srVapUYePGjbmvmMmpU6cAVQdFeHi4+v22bdv43//+x9dff83Fixf54osv+Oyzzzh06JDG+j/++CNdunQhODiY3r1706NHD65cuaL+e4kSJVixYgWXL1/m119/xc/Pj1mzZmnkERoayvbt29m1axe7du0iMDCQadOmaaRZuXIlxYoV4+TJk/zyyy9MnDiRffvy9iUiN0lJSYTeCKFmrboayz0863L1yiWt61y7egkPz6zp6xF6PUSjg+lVel1xXrt6CY8sedbyrKczz9xjvIZHrTpZtlmHq1cual0n5OplPDw109fyrPtayxJUVzHi42KpmWnbJiamVHOvSYiOWEFVXtrqICStvDLKQDNNTc+6OeabVX7yCbl6iZrZ6rtutvrOKX59GE6bLNgxZsRZ8I+dSPVxk7HvJiamuOXjuKnpWU+vY+JditNQ6rugnyfzw6K+B1H7j2ksi9p7BPPa7igKqS7LW9b3IHr/UY000fuOYNmgVr63a1kCShZVcP1+xo//lFS49TAVx1I5f102NYFvu5sy6hNT+rYqRGlrRb7jyC3GEkUV3MgS4+2HqTja5R7jN91M+a67KX1aFqK0VUaMxkZQxlrBjQeaHR837ueeb2bqdpPlOPCoVUfnuTfkyqVsx1mt2nW4kcNx8zIxkZSUZIoXL5Hn2LKKjHhAfFwMNWrVUy9TnYM8uJbjsXNRYx2Amp7v5bjOs7SLisWLl9Qrxnfx+H7TlErlW3v9F70zHQuVKlXil19+wcXFhYCAABwcHJg3bx6urq507NiRCRMm4Ovrq+446NKlC507d6Zy5cp4eHiwdOlSLly4wOXLqmFCa9asISUlhWXLllGtWjXatWvHt99+q1dM+/fv59mzZ3h7ewPQu3dvvW+HsLW1BcDCwgJ7e3v1+xkzZtCvXz++/PJLqlSpgo+PD507d2bGjBka63/88cd8/vnnVKlShUmTJlGnTh3mzp2r/vvYsWN5//33cXZ25qOPPuLrr7/O1vmRmprKihUrcHd3p3HjxvTp04cDBzTvj6xRowbjxo2jcuXK9O3blzp16mRLk1liYiKPHj3SeL1MTNSa9vGjBFJTU7GwsNRYbm5hSXxcrNZ14uJiMc+S3sLCkpSUFB49StAZ17/xuuKMj4vF3DJLnpa688xPjBYWlsTHxemMUVv611mWgHr/LCw0hwubW1gSl8O+x8fFYpGlvCwylZeqDFIwz5KvRQ71pE1+8onXUpbmFlakpKTwOFN95xS/Pgy5TRakGHOKs6AdO3FxMWnbydourXLc91fZ7vKioMdpKPVd0M+T+WFWyobEiGiNZS8jYzAyMcHURhWzmb0NiRExGmkSI2Iws7fN93ZLFFH90H7yXPMHwZPnULyI7o6CqHglW/5KZtW+JDYcSiI5Bb5oZ4J1yVffuaAzxhcZf9MmOkHJliPJrN6fxIbDqhgHZYqxqBkYGym073vRvMen83xuqbs9xsfFZTtX53bc/L7cDytrG2rWqp334LJtVxVP1jae02dP+npZP39yWkepVPL7krm4utXA0TnnuRt0xfguHd/i3fbOdCzUqZPRm3flyhUaNGiAQpFxkm3YsCFPnjzh3r17gOoqfM+ePalQoQIlS5akfHnVJChhYWHqPGrWrEnRohln1AYNGugV09KlS+nevTuF0nrYe/TowcmTJwkJ0W8olDZXrlyhYcOGGssaNmyoMRoBssfcoEEDjTSbN2+mUaNG2NvbU7x4cX788Ud1GaRzdnamRImMXuHSpUsTGRmpkaZGDc37GrWlyWzq1KmYm5trvPwWzdWZHtCoTwCUSrIuyim9EtUH5uu5jqB7u68iTkWWqJW55JmHILOGmM8YX11p/nVoH726fKB+paQka902KPOwXW37p7lMSzXlXAi6tqRnPtr2R0uqbHlmXy/vDKFNGkKMaRvOkufbPXb+OrSX3l281a+UlBRtYaLMw3Gjvbz+W3Fm31hBq2/DPE/qLevVvvRtZl6uLY0eVwlrVjRiXF9T9cs4/Ruxjk3rcjdKSVBoKg9jldyOULLuYDLRCUoauP37r9g1KxjxUx9T9csohyxz2vO7UUqC02K8E6Fk/aFkYhKU1K+qmaHWYs/PhVet5/McPhe1tEVtywG2blrPkcCDfD92AqampnkO6cihvfTt2kr9SklOP3ayhZprnWc7znP4jF7220zCbocy/Lvxucb4nzm+3yCl8u29/ovemadCFCuWMbuMti8Z6UNS0pd/9NFHODg44OfnR5kyZUhNTcXd3V098eO/HcISGxvL9u3bSUpKYuHCherl6aMgpk+fDoCRkVG2bWmb40AbbfuYly9X6Wn+/vtvPvnkEyZMmIC3tzfm5uasX78eX19fjfRZ5x9QKBTqkR/6pMls9OjR+Pj4aCwLvau9l7RESXOMjIyy9c4mJMRn621NZ2mZ/apXQnw8xsbGlChprjOuf+N1xWmhJc2jeN155iXGbNtMiMvWA585xmz7pI5Rv2F9Oan7XkMqZ5rhOf04iIuLwdLKWmPbWXviM9NWXgnxGfunKgNjrWWQ9SpLTvKTj4XWsozLtb4zx68PQ2qTBTnGzHEWtGOn7nuNqOzipn6frD5uYrG0ssm03exXBTPT3jbj89XuDDnOdAW3vg3rPJkfiRHR2UYemNpakZqUxMuYeFWah9GY2dtopDGzs8o20iEnV8JSuRuZMdl3IWPVd6PiRRU8znTlvljh7CMEcqIE7kcrsS5pBKTkljz3GKO0xFhEM8bi+YjxXrQSG3NVjM8SISVVSYmimj0Jqn3Pe7w6j5v4+Bw+F7NfJU9IiNN63GzfsoHNG9cwcfIMnMtXzHtgQJ0s56CkJFW5xmc5Bz1KiMvxc0LrZ4uO88Ky32Zx5uQxxk+bh7WNXa4x/heOb/Fue2dGLGTm5ubG8ePHNX6wHz9+nBIlSlC2bFliYmK4cuUKY8eOpUWLFlStWpW4LEMb3dzcCA4O5vnzjDPq33//necY1qxZQ7ly5QgODiYoKEj9mj17NitXrlTfN2Zra0t4eLh6vUePHnHr1i2NvExMTNRXd9JVrVqVo0c17y88fvw4VatqPnona8x///03rq6uABw7dgwnJyfGjBlDnTp1qFy5Mnfu3MnzPv4bZmZmlCxZUuNlamamNa2JiQkVK7kQfO60xvLgc6dxrVpN6zpVXKtpSX+KipVd1CNIXrXXFWcV12oEB2mmCTp3SmeeucdYRcs2z+Ba1V3rOi6ubgSfO5Nl+6dfeVkWKVqU0mXKqV8Ojs5YWFpxPlOsSUlJXLoYjIuOWEF7eQWfO4VLWnnpKoPz507nmG9W+cnHxbWaxv6Aqi5zq+/M8evDcNpkwY4xI86Cd+xkPW7K6ThuLufhuDkfdEpjmard5f2YeBfiTGco9V3Qz5P5Ef93EDYt3tdYZtuqEQlnLqJM++4U93cQNi00R23atGxE3Im8T+b3MgliH2e8IuOVPHqmpFKZjK/GxkZQ3t6IsAj9Jl0sbaX5wz+/XiZnj/HxMyWVymrG6GxvRFhkPmJ8pooxJRUexGjuO0ClMvrlm95ugrIdB2d0nntdqlbLnv7saSplOW62bV7PxnWrGTdpOpWquOQ5pnRFihbFvkw59aucY3ksLK05fy7jfJKclMTli0FUyfHYcddYB+D8uX801lEqlSxbOJN/jgfy4+RfsbMvk+cY3/Xj+01LTX17r/+id7Jj4csvv+Tu3bsMGzaMq1ev4u/vz7hx4/Dx8cHIyAhLS0usra1ZvHgxN27c4ODBg9munvfs2RMjIyMGDBjA5cuXCQgIyDZ/QU6WLl1K165dcXd313j179+f+Ph4du/eDUDz5s1ZtWoVR44c4eLFi3z66acYG2vOwOvs7MyBAwd4+PChugPk22+/ZcWKFfz2229cv36dmTNnsnXr1mwTTG7atIlly5Zx7do1xo0bxz///MPQoUMB1bwUYWFhrF+/ntDQUObMmcO2bdv0Lu834aNOH3Ng724O7A3gXtgdli2eR3RUBK3Tng++esVifvWdok7v3aY9UZERLPebz72wOxzYG8CBvQF06NxdnSYpKYlbode5FXqd5ORkYmOiuRV6nfAH9wpUnO3adyHo7Cm2blrLvbt32LppLeeDztCuQ/6efd6+08fs3xvA/r0B3A27w7LF84mOisC7zUcArFrhpzXGZX7zuRt2h/1pMXbs3E2dRlWWN7gVeoPk5GRiYqK5FXqD8Af38xUjqEa9tOvwMVs2ruHk8b8Iu32TebOmYmZmRmOvlup0c3wns3rFYvX7tu27Enz2NNvSymuburw+Vqf5qFO3tHrazb2w2yxfPI/oqEh1PeVVbvmsXrGYOb6T1elbt+mQVt/zuBd2mwN7d3NwbwDtO3+iV/z6xVjw26QhxAiGcewoFAradviYrRtXq4+b+erjppU63RzfyaxZsUj9vo263a3h/t07bNu0hgtBp2mbqd09f/5Mfc4E1cRit0Kv5+vxZIYQp6HUd0E/TxoXK0rJmq6UrKm6qFG0fDlK1nSlsENpAFx+9qHm8unq9HcWr6eIUxmq/t/3FHetQLl+XXD4rAs3Zy5Tp7k973dsWjWkwjcDKeZSgQrfDMSmRQNuz12pXwFmcfxSCk1rGuPmZEQpSwVdmxQiKRmCbmb8SujapBCt62R8T2tey5jKZRVYllD9WO/cWDV54z9XMi4ImRZS/S19wkSr4qr/6/soR4Bjl1LwqqGK0c5CQZfGhUhKgeDQLDHWzhSjhzGVMsfYKC3GqxkxHruYQu0qRtSubIStuYI29YwxL66ZJi86dPqY/X8GsH/vH9wNu8PSrMfNcj9mz5iqTv9Bm49Ux83iBWnHzR/s3/sHHTIdN1s3rWfN78sZOuJb7OzsiYuNJS42VuPin74UCgVtOnzM9k2r+Od4IGG3b7Jg9mTMzMxo5JXxaNN5vpNYu+I39fsP23/M+XOn8N+8mvt37+C/eTUXgk7TpkNGvEsX+nLk8F6GfzuOIkWLEh8XQ3xcjM65xHKKsaAf30Jk9s7cCpFZ2bJlCQgI4Ntvv6VmzZpYWVkxYMAAxo4dC6huP1i/fj3Dhw/H3d0dFxcX5syZQ9OmTdV5FC9enJ07dzJ48GBq1aqFm5sb06dPp0uXLrlu/8yZMwQHB+Pn55ftbyVKlKB169YsXbqUDh06MHr0aG7evEm7du0wNzdn0qRJ2UYs+Pr64uPjg5+fH2XLluX27dt07NiRX3/9lf/7v/9j+PDhlC9fnuXLl2vsA8CECRNYv349X375Jfb29qxZswY3N9VQsA4dOjBy5EiGDh1KYmIibdu25ccff3zlj4p8FRo1ac7jR4/YuG4lcbGxODqVZ8yE6djZ2QMQFxtDdFTGl8ZS9qUZO2Eay/zm88eu7VhZWzPgi2E0yPT4sbjYaL4ePlD93n/rBvy3bqBa9ZpMmvZrgYnT1c0dn1E/sW7VUtavXkYp+zJ8PWocVVzdsm1fvxh/T4vRmbETpmnEGBWVMT+GKsapLPdbwB+7/HWUZQw+Osry52mz8xUnQMeuPXj5MpHFC2bx9MkTKrtU5adJMyiSae6T6KhIFIqMPtL08lq7ainrVy+llH0ZfEaN1yivhk2a8/hRApvW/U5cbAyOTuX5IVM95VVu+ajqW7Msx0yYznK/eexJq+/+XwzXWt85xa8Pw2qTBTdGzTgL9rHTsWtPXr5MxG/BTPVx8+Mk3yzHTQRGmW6dc3WrzshR41i3agkb0trdyCztLvR6CONH/0/9fuWSeQA0bfEBQ31+eOfiNJz6LtjnSfPa7jQ4kPE4bLcZqjq4+/tWzg8YjVlpW4qkdTIAPL99j1MfDcLNdzROQ3qR+CCSSyMn83BbxiMA406c41wvH1wmjMBlwnCehd7lXM+RxP9zXq/YsvrrfAomxtD+/UIUMYV7UUqW/5nEy0x3qFoUV2jcP13YFDo2MqFEEXjxUnXlf/HuJO5FZyQqa6NgYNuM+QDa1ld9/T5zLYUtR/R7YsiRCymYFIL2DQpROD3GPUm8zJSNeTEtMTbMiDE8Rolflhgv3EqlqFkyzTwKUaIoRMQp+X1vEvGaT0nPVSOvZjx6/IgNa9OOG2dnfpwwFbtSqnYTGxeb7bj5ceJUli2eT0DacfP5F0N5v1ETdZo/dvuTnJzEL1PGa2yre8++9OjdT78AM2nfpRcvExNZunAmT588ppKLGz9MnKVx7MRERWCUaXILl6rV+d9349mw2o8Nq5dQyr4s/xs1kcouGSMy9gVsB2DC6GEa2xsy4geatmyjV4wF/fgWIjOF8r/6PAxR4Fy6EZ57IpEninzNtvRmpb6bA6beCkOob0NhCGWZgn7PlRe6Gf/Le+DfBEM4V96p6pV7ogLg2G//ruPhTTCEufN6e+V9Lou3KTE175M7vi2FFAX/HOReyXA7G2bveHuf6SPaG8DB/IoV/E8rIYQQQgghhBBCFFjSsZBPgwcPpnjx4lpfgwcPftvhCSGEEEIIIcR/Vqry7b3+i97JORbehIkTJ2abKDFdyVf4CD4hhBBCCCGEEKIgk46FfLKzs8POLvdn0gohhBBCCCGEEO8y6VgQQgghhBBCCPFOkUcUvFkyx4IQQgghhBBCCCHyTUYsCCGEEEIIIYR4pyjf6iyK8rhJIYQQQgghhBBCiDyTEQtCCCGEEEIIId4p/9XHPr4tMmJBCCGEEEIIIYQQ+SYdC0IIIYQQQgghhMg3uRVCCCGEEEIIIcQ7RR43+WbJiAUhhBBCCCGEEELkm4xYEEIIIYQQQgjxTkmV2RvfKBmxIIQQQgghhBBCiHyTEQuiwFCieNsh5IkhxKlUFvwYjRUpbzuEd0aqAfQRKzCMqwaGUJbGyLHzqhhCfRvCZ86x386/7RDypOHgGm87hFwdX1TwyzJZaRg/H0wUyW87hFwZwvEtRF4ZxplBCCGEEEIIIYTII5m88c0q+F31QgghhBBCCCGEKLBkxIIQQgghhBBCiHeKjFh4s2TEghBCCCGEEEIIIfJNRiwIIYQQQgghhHinpMqQhTdKRiwIIYQQQgghhBAi36RjQQghhBBCCCGEEPkmt0IIIYQQQgghhHinKFPfdgT/LTJiQQghhBBCCCGEEPkmIxaEEEIIIYQQQrxTlDJ54xslIxaEEEIIIYQQQgiRb9KxIIQQQgghhBBCiHyTWyGEEEIIIYQQQrxTUmXyxjdKRizk0e3bt1EoFAQFBb3R7cbGxtKvXz/s7e2xsrKiR48exMbGvtEYhBBCCCGEEEIIXWTEwmvWunVrDhw4wLFjx6hfv77e6w8bNoxz586xfft2zM3NGTFiBN988w3Lli17DdHmjUKhYNu2bXTs2PGNb1upVLJx7Qr27dnJ0yePqezixudDRuDoVD7H9U4cC2T9qqU8DH+Afeky9Oz7Oe+930QjzZ5d2/Dfup642FgcHJ35bNBQ3Nxr5jPG5exPi7GSixsDh4zEIZcY/z52WCPGHn0HasR4+WIQ/lvWc/NGCHGxMXw3djL1GjTWO770GDetXc7+P3fw5MljKldx4/MhPnmLcfUSIsIfUKp0GXr0GaQR47aNqzh54i/u37uDqakZLlXd6dVvCGXLOeod4x+7tqfVRwwOjuXpP2gobu41dKa/dCGI5X4LuBt2CysrGzp2/QTvNh000pw4Fsi6Vcs02kH99/NXhoYUpyG0yYw45fj+t2X5x67tbN+6Ia1NOjMglzZ5Ud0mb6vb5Adt2qv/HnbnFutWLyf0xjWiIiPoP/ArPurYNV+xGVKMIG3yVR7fAC1qGVPXxZgiZnA3SsmO48lExuueXM2zshFdm5hkW/7TikSSU1T/d7ZX0Li6MWWtjShZTMGq/UlcuaPfZUqrRnWo8PUAzD3dKVzGjtNdviRix4Gc12lcF7cZ31PcrTKJDyIJ9V1C2OL1GmnsO7Wmyvj/UbSiI89Cwwj5aRYR/vv1ik2b5unlaKoqx50nci7HWpW0l+O4lRnlCPCeqxGNqheiRBGIjFey+2QydyLyN/mdIbTLV/35HXbnFutXLyf0RghRkRF8NvArPur4cb5iS6fveeLShSBW+M3nbthtLK2s6di1h9bvGLmdn94VMnnjm/XOjVh4+fLl2w5BLSwsjBMnTjB06FCWLl2arzz27NnD119/Tf369alQoQKNGzdmz549/yqu/JZRQSjb7ZvXsXPbRj4fPILpsxZhYWnFxLFf8/zZM53rhFy5yMxpE/Bq3hrfeUtV/04bz7Wrl9Vpjv11kOV+8+jSvQ8z5vhR1b0Gk8eNIioyIh8xrmXXto0MGDyCabMWp8Xok6cYmzT3xnfeMpo092bmtHEaMb548QLn8hUZMHiE3jFl5b9lLbu2b2DA4JFMm+mHhaUVk34cmWuMs6aPx6uZNzPmLsermTezpv/E9ZBL6jSXLgbh3bYTU2Ys4sdJs0hJSeHnH3148eK5XvEdVddHb3znLKGqe3V+HvedzvqIeBjOz+O+p6p7dXznLKFz914sXTSXE8cCM8V/Cd+0djBz3hKt7UBfhhKnIbRJVZxyfP/bsjz610GW+c2na/fe+M7xw829BpNy2FdVmxyNm3sNfOf40UVLm0xMTKSUfRn69BuEpaXVv4rPUGJMJ23y1R3fTWoY09DdmJ0nklmwI4knz5X0/8AE0+y/dzW8eKlkytpEjVfmH8OmhRQ8jFX9uM4v42JFeXQ+hEv/m5in9EWcy1F352Jij57haN2O3Jj+G9VmjcG+U2t1Gov6HtRaO4v7a/w5UrsD99f447luNhb1dP9wzYvG1Y1pWE2zHD/7wATTXC4VvnipZOq6RI1X5nKsXt6INu8VIjA4mfn+SdyOSOXT1iaYF8tfnAW9Xb6Oz2/Veag0ffoNwuIVnIf0PU9EPAxn8rhRVHWvwYw5fnTp3ptli+Zk+Y6R+/lJiPwy+I6Fpk2bMnToUHx8fLCxsaFVq1YEBgZSr149zMzMKF26NN9//z3JyRkfOHv27KFRo0ZYWFhgbW1Nu3btCA0N1cj3n3/+oVatWhQuXJg6depw7tw5vWNbvnw57dq1Y8iQIWzYsIGnT59q/N3Z2ZnZs2drLPPw8GD8+PHq97GxsVhbW/P8+XPef/99Ll26xIoVKzTWuXz5Mm3atKF48eKUKlWKPn36EB0dnWMZAbmWk7b1nJ2dAejUqRMKhUL9Pjg4mGbNmlGiRAlKlixJ7dq1OX36tN5llhOlUsku/0106d6H+g2b4OhcgWE+o0lMTORIoO4rALv8N1OzVm06d+tNOQcnOnfrTfWatdnlv0mdZue2jTRv3YaW3u0o5+hM/0HDsLax5c8Af71j3O2/ic7d+1C/oVdajD+kxbhP53q7/TdRo1YdOnfrTdlMMe7OFKNnnfr06DuQ+g299IpJe4wb6dy9L++9r4pxqM8YEhMTOZpTjDtUMXbq1oeyDk506tYH9ywxjp3oS7OWbXBwKo9zhUp8OWI00VER3LwRoleMO7dtokXrNrTybkc5RycGDBqGtY2dzvr4M2AHNrZ2DBg0jHKOTrTybkfzVh/iv3VDRp7+m6lZqw5duvWinIMTXbr1onpNT3b5b9YrNkOL0xDaZHqccnz/+7LcoW6TbXFwdGLAoKFY29ixJ2CH1vQZbXIoDo5OtPJuS/NWH7J960Z1mspVXOk3YDCNvZpTyCSXX4HvSIwgbfJVHt8A71cz5nBwCpfupBIRp2RTYDImhcCjQs5fRZVKePJc85XZtXup7Dujyje/ov78i2vjZvNwu+4yy8xp0Ce8CAvn8tdTeHL1JneXbebuiq1U8OmvTlN+2KdE7z9O6C+LeRpyk9BfFhN98G+ch32a7zgBGqaV4+U7qUTGK9n8VzImxlCz4r8rx4buxpy5lsrpa6lEJSgJOJlCwlMl77ka6x2jIbTL1/H5XbmKK58OGEIjrxaYvILzkL7nib0B/tjY2tF/0DDKOTrT0rsdzVu1YcfWjJE0eTk/CZFfBt+xALBy5UoKFSrEsWPHmDJlCm3atKFu3boEBwezcOFCli5dys8//6xO//TpU3x8fDh16hQHDhzAyMiITp06kZo2w8fTp09p164dLi4unDlzhvHjx/PNN9/oFZNSqWT58uX07t0bV1dXqlSpwsaNG3NfUYe9e/dy48YN1q5dS+vWGT3i4eHheHl54eHhwenTp9mzZw8RERF069ZNZxktWrSI+/fv51pO2tY7deoUoOo0CQ8PV7/v1asX5cqV49SpU5w5c4bvv//+lZxUM4t4GE58XCw1Peuol5mYmFLNvSYhVy7qXO/a1UvUrFVXY5mHZ11CrqiutCclJRF64xoeWdLU9KybY77aRKpjzMjLxMQUt3zEWNOznt7bz1OMEWkx1soao0cuMV7UUo45x/gsrTOtePGSeY5PVR8hWuvs6pVLWte5dvUSHp7ZYwu9HqLuLLt29VK2Oq7lWU9nnu9KnIbQJkGO71chY1/raCz38KzDVR3bCrl6GQ9PzfS1POtqtMn/WozppE2+OpYloGRRBdfvZ/z4T0mFWw9TcSyV81dRUxP4trspoz4xpW+rQpS2VryWGPVhUd+DqP3HNJZF7T2CeW13FIVUQwcs63sQvf+oRprofUewbFAr39u1LAEliiq4kaUcbz9MxdEu93L8ppsp33U3pU/LQpS2yihHYyMoY63gxgPNzpkb93PPV5uC3i5f1+f3q49Rv/NEyNVLGmWuirFutu8YOZ2f3jWpyrf3el3i4uLo06cP5ubmmJub06dPH+Lj43Ncp1+/figUCo1X1lv0ExMTGTZsGDY2NhQrVoz27dtz7949vWJ7J+ZYqFSpEr/88gsAv//+Ow4ODsybNw+FQoGrqysPHjxg1KhR/PTTTxgZGdGlSxeN9ZcuXYqdnR2XL1/G3d2dNWvWkJKSwrJlyyhatCjVqlXj3r17DBkyJM8x7d+/n2fPnuHt7Q1A7969Wbp0KZ999lm+9tHKyopHjx6xefNmPv44436thQsX4unpyZQpU9TLli1bhoODA9euXaNKlSrZyghgzJgxuZaTtvX+n737DmvqfP84/g6ICA6miAq4BRHFXTfWhXXPWmfd2lb9KdW2dqmtVm2LWmvbb0XFvavioNaqxa1VK05ExQEuZgAnM78/gEAgYQlC9H5dVy5N8pxzPrnPSHjynJM05ubm2Nraqu8HBwczffp0nJycAKhVq1a+Xmd2opVRqcvWHF5mZm5BeLju4aPRyijMLSw0HjO3sFDP73FsDMnJSZhlmq+5eXqb3FIqI7VmNDe3JDz8Ub4zFqTo1IyZX6+ZuQURYdlnzDqNpc6MKpWK1cuX4uRcH4eq1XOdL2V9JGNurlkPs2zWh1IZRYNM7c3NLUhKSiI2NgZLS6uU/JlqbPYSNdaXnPqwTaYtLy1XRrJ/556ubTLltSq1TqNURtEwh23yTcuYRrbJglPWJOWP2CfPNT9tP3kO5mV0dxSER6v440gij5QqShmljHoY392In3ckEBlbdOdOG1ewJi40QuOx+LBIDIyMKGltQdyjcIxtrYkLjdRoExcaibFt+XwvV2cdX4B5ad11jIhR8cfRREKVKoyNoKWzIeO6G7F0Z0odTY3B0EChdf2UMc17zuK+XRbW+3fBZ8zbcSJaGaXlNVmSlJTE49gYLFI/Y7zKfV8UvMGDB3Pv3j31qfHjxo1j2LBh7N69O9vpunTpgre3t/p+yZIlNZ6fMmUKu3fvZtOmTVhZWfHxxx/TvXt3zp07h6Fh7kYuvRYdC02apH+bEBAQQIsWLVAo0g+wrVq14smTJ9y7dw8HBweCgoL46quvOHXqFBEREeqRCsHBwbi4uBAQEICrqyumpulH0xYtWuQp04oVKxg4cCAlUnuuBw0axPTp0wkMDMTR0THPr7FNmzZ8/fXXDBo0iH/++YeffvoJIyMjzp07xz///EOZMmWyTBMUFKTuWMhYI8hdnbRNp4uHhwdjxoxh7dq1dOzYkQEDBlCjRg2d7ePi4oiLi9N4LD4ujpLGxur7R/75m9+Xeqrvfz5rPoBG5hQqFOT0DYbm8ypV1vlknq1KpeXBTI78s59lGTLOmLVA+7xykTHz8yqVSstrzbuj/+zn919+TM84U3vG1KJkn1FLkXRlXPG/RQTfCeLb73/Jc2bdy8p9exUpH5AyPqq9xvmKp3O5RZ1TH7bJlJyyfxdULbMuTFs9smuua5ssxG+Gi2FG2SYLbpt0rWFA71bpHzHX7E9IC6aZIYfFhYSrCAlPn+huaCIf9TaihbMBe04lZTPlK5D5onBpLybj49ra5OFicq7VDeiVsY5/J+iOk818MtcxODSRj3oZ0byOAXtPp9dR60vKRVx92S6zLKsQ3r8LWl6PE9qOV1paZZlnob0fFTFVYQ4dKAIBAQHs27ePU6dO8dZbbwHg5eVFixYtcvwb09jYWONL4YxiYmJYsWKF+u84gHXr1mFvb8+BAwfUX5Tn5LXoWChdOv3KMtoOQGlXBE17vEePHtjb2+Pl5UWlSpVITk7GxcVFfXHCl72CaFRUFDt37iQhIYHffvtN/XjaKIgFC1IOuAYGBlmWlZCg+01j9uzZvPPOO/Tt2xdDQ0N+/vlnkpOT6dGjh3qeGVWsWFH9/4w1gtzVSdt0usyaNYvBgwezd+9e/vzzT2bOnMmmTZvo06eP1vbz5s1j9uzZGo99MOljPpycfspJ07daUcuxjvp+Wm2UykgsMvQMx0RHZ+l9zcjcIuu36jHRSsxSe3XLljPDwMAwa5sYZZae38yavtWaWo7O6vuJ6oxRWFhaay4vh4zKLBmj1RlfRpO3WlNTS8bozBljorN8u5A5Y9poh/RplFozrvjfIs6ePs7s+T9jZW2Tp7wp68Mgaz1iorP03Kex0LqOozE0NKRsObMM+TXbxEbrnqe+5tSHbTIlp+zfBVXLNGnbpLbXqmtZFjqypWyTuT+F6XXIKNtkwW2TAcHJhISlX/C5hGHK54oypgoeZ/hWvHSprN++Z0cF3I9QYVXOACi6joW40IgsIw9KlrckOSGB+MjolDaPIjC2tdZoY2xjmWWkQ3YCgpMJCddSRxPNOpbJRx3vRaiwNkup47M4SEpWUdZUsychZf3kPD992S7TFNb7d8FnzNtxQnv9lDl+xsh4fBIFR9uXqMbGxhhn+BI1r06ePImZmZm6UwGgefPmmJmZceLEiWw7Fvz8/LCxscHc3Bw3Nzfmzp2LjU3KZ/Rz586RkJCgcbp9pUqVcHFx4cSJE7nuWHgtrrGQkbOzMydOnND4g/3EiROULVuWypUrExkZSUBAAF9++SUdOnSgTp06KDMNv3R2dubChQs8f55+ND116lSuM6xfvx47OzsuXLiAv7+/+rZ48WJWr16tPs+pfPnyPHz4UD1dbGwst2/fznbezZs3Z+zYsRw8mPIzSI0aNeLKlStUrVqVmjVratyy6xTIqU7ZMTIyIikp6xt67dq1mTp1Kvv376dv374aw20ymzFjBjExMRq3MeMnabQxMTWlYiU79c3eoSrmFpZcPJ9+UciEhASuXL6AYx0Xncuq7VSXC/6aF5K8cP4MjnXqql9PjZq1uXBes83F82ezna+2jHY6Ml7NRcaL/me0ZMx++bmhO2P68lIy+ueQ0UXjdWnLqFKpWP7bIk6fOMLMuYupYFspz3lT1odjlvVx4fxZnFLXWdZsdbW0P0ONWo7qUUPatgP/82d0zlNfc+rDNqktp+zfL0/Xa71w/hxOOpbl6OTMhfPnNB7zP39WY5t8UzLKNllw22R8AkQ9Tr+FRauIfaaiZqX0j52GBlDN1oDg0LxddLGipeYf1UUh+pQ/1h1aajxWvlNrYs5dRpX6GU95yh/rDq002lh3bI3yZO4vBh6fmLWOj5+pqFlZs45VbQ0IDstHHZ+l1DEpGR5Eaq4fgJqVcjdffdku0xTW+3fBZ8zbccLRqW6Wz2n+ufiMkfH49LpRqYruNm/ePPV1ENJu8+bNe6nX8+jRI3VnQEY2NjY8eqT7NKN33nmH9evXc+jQITw9PTlz5gzt27dXd3w8evSIkiVLYpGp469ChQrZzjez165j4cMPPyQkJIRJkyZx7do1fHx8mDlzJh4eHhgYGGBhYYGVlRXLli3j5s2bHDp0CA8PD415DB48GAMDA0aPHs3Vq1fx9fXlxx9/1LHErFasWEH//v1xcXHRuI0aNYro6Gj27t0LQPv27Vm7di1Hjx7l8uXLvP/++zrPYdm2bRs3b97k0qVL7Nu3jwYNGgDw0UcfERUVxaBBg/j333+5desW+/fvZ9SoUVr/+M9tnbJTtWpVDh48yKNHj1AqlTx//pyJEyfi5+fH3bt3OX78OGfOnKFOnTo652FsbEy5cuU0biVz6MFTKBR07zWAP7as5/SJIwTfucXSRfMwNjamjVtHdbslnnNZt2qZ+n63nv258N9ZdmzdwL2Qu+zYuoGL/ufo3iv9WhU9+rzLwf17Obh/L/eC7+C9bCkR4WF0zvA76bmhUCjo1msA27esU2f8RZ2xk0bG9at+V9/vqs64nvshd9mxdT2X/M/SLUPG58+fcTvoBreDbgApFxa7HXQjzz9PlpLxXbZvzZBx8XcYGxvTOkPGnz3nsH7V/9T3u/Xsz4XzZ9i5LSXjzm1ZMy7/bSFH/fbzf9O/ppSpKUplJEplZJYe25z06DMgdX34ci/4LiuXLSUiPFS9PtatWsZPnunXFXHv2pPwsFC8vX7hXvBdDu735eB+X3r1Hahu071nP/z/O8P21O1gu3o7yP9v3etDTn3YJtNyyv798rXs2WcAB/b7cmC/LyHBd1m57BciwkNx79oDgLWrvLRukyu9fiEk+C4HUrfJ3n3TLwCckJDA7aCb3A66SWJiIpGREdwOusnDB/fzlE2fMoJskwW5fwOcuJJEO1dDnKsYUMFCQf+2JUhIBP9b6X+49m9bgs5N0j8HtW9oSK3KCizKpvwh3LdNysUb/w1I/3xTskTKc2kXI7Qsk/L/vPxMomFpU8q5OlHONeU6UabV7Cjn6kQp+5SRn45zPHD1Th8ZenfZJkyqVKLOD59Rxqk6diP6YT+yH7cWrlS3ubN0DdadWlF92lhKO1an+rSxWHdowZ2fV+etcJkcv5KEW/2UOtqYK+jXpgQJSXAhKFMdG2eoYwNDamasY+vUOl5Lr+Pxy0k0rm1A41oGlDdT0LWZIWZlNNvklj5sl4Xx/p1yHErJlpiYSFRkBLeDbvDwQd4ugJeeMfvjxLpVy1jiOVfdvnPXXqkZl3Iv+A4H9+/l0H5fevZ9T90mN8cnUTC0fYk6Y8YMrW1nzZqV5eKKmW9pv7an7bSVnE4ZGjhwIN26dcPFxYUePXrw559/cv36dfXfpLrk9VSk1+JUiIwqV66Mr68v06dPx9XVFUtLS0aPHs2XX34JpJx+sGnTJiZPnoyLiwuOjo4sWbKEdu3aqedRpkwZdu/ezYQJE2jYsCHOzs4sWLAgy0UftTl37hwXLlzAy8sry3Nly5alc+fOrFixgl69ejFjxgxu3bpF9+7dMTMz49tvv9U5YuF///sfJ06cwMTEhPbt27No0SIgZZjK8ePH+fTTT3F3dycuLo4qVarQpUuXbDsIcqpTdjw9PfHw8MDLy4vKlStz/fp1IiMjGT58OKGhoVhbW9O3b98spzoUhN79BxEfH8eyXxfx9MkTajnW4etvf8Qkw/UwIsLDUCjSX7uTswsen37NhrUr2LRuBRVsK+Hx6SxqO6UP22vVtj2PY2PYunENyqhIHKpU4/PZC7Cx0X4uUvYZBxMfH4fXrwvVGb/61jNTxlAMMuyoTs71mPrpTDauXc7m1IxTM2UMuhHIrBn/p76/evlSANp16MJEj8/zlLFXv8HEx8Wx/DdPnj55Qk3HOnz5zcIsGRUG6Rkd69Rjyicz2bRuOZvWLcfWtjJTP51NLcf0Xu79vjsBmDVjssbyPpwyg7c7ds11vtZt2/M4NpYtG1ejjIrCoUo1vsiwPpRRkURkuHhaBduKfDl7Piu9fuHPPTuxtLJi9PhJtMjwc1Rp28HGtSvYtG4lFWwr8fGnMzVqnFf6klMftsmUnLJ/p8lvLdO3yTWp22RVvpw9X2ObDA8PU7dP2Sbn4e31K3/u8dG6TSqjIvGYPFZ932f7Zny2b6ZuPVfmzF+c62z6lDGNbJMFt38fuZiEkSH0bFkCk5JwL1yF918JxGc4A9S8jELjPP9SJaF3ayPKmsCL+JRv1ZftTeBeRHqjytYKxnZLvwhZt+YpH23PXU/ij6O5u1q/WWMXWhxcq77v/GPK6wtZs52Lo2dgXLE8Jvbpp5c+v3OPMz3G4ew5gyofDCHuQRhXps7l0Y796jbKk+c5P8QDx9lTcJw9mWdBIZwfPJXofy/mrmA6HL2UhFEJ6NmiBKXS6rgvgfgML9WstJY6tkqv48NIFV6Z6njpdjKmxom83aAEZU0hVKlizf4EojV/KT3Xivt2WRjv38qoCD7WcRz6dv5Puc6WJqfjREpGzWPlF7MX4O21lH2pGUeNn6z1M0Z2xydRMPJy2sPEiRN57733sm1TtWpVLl68SGho1k608PBwKlSokOtsFStWpEqVKty4kdJBZ2trS3x8PEqlUmPUQlhYGC1bttQ1mywUqpe9oIAQBeTyzdwPtSlKqkK9TE/BUKmKf0ZDRRFfeOs1kqwHg88UubkCWDGgD/u3YRGeW/660Yd9Rx+2yY2HzYs6Qq60mlC/qCPk6MTvL9fx8Cq81za6qCPkigF5Oz2kKOjD/u1SM+8dnsXFZ14vimzZ88eWKvB5BgQE4OzszOnTp2nWrBkAp0+fpnnz5ly7di3XPxAQGRlJ5cqVWbZsGcOHDycmJoby5cuzbt063n03ZTTgw4cPsbOzw9fX9829xoIQQgghhBBCCPE6qVOnDl26dGHs2LGcOnWKU6dOMXbsWLp3767RqeDk5MSOHTsAePLkCdOmTePkyZPcuXMHPz8/evTogbW1tfoi+2ZmZowePZqPP/6YgwcPcv78eYYOHUq9evXUvxKRG9KxkA8TJkygTJkyWm8TJkwo6nhCCCGEEEII8UZTqVRFdiss69evp169enTu3JnOnTtTv3591q5dq9EmMDCQmJgYAAwNDbl06RK9evWidu3avP/++9SuXZuTJ09StmxZ9TSLFi2id+/evPvuu7Rq1QpTU1N2796t8/p/2sipEPkQFhZGbGys1ufKlSun9WqdImdyKkTBkVMh3iz6MJxbToUoOHIqRMHRh31HH7ZJORWi4MipEAVHToUoGPp8KsSny3Lxe6mFZME4kyJbdlF57S7e+CrY2NhI54EQQgghhBBCCIF0LAghhBBCCCGEeM2oiv+glddK8R8DKIQQQgghhBBCiGJLRiwIIYQQQgghhHitJMulBF8pGbEghBBCCCGEEEKIfJMRC0IIIYQQQgghXivy44evloxYEEIIIYQQQgghRL5Jx4IQQgghhBBCCCHyTU6FEEIIIYQQQgjxWklOllMhXiUZsSCEEEIIIYQQQoh8kxELQgghhBBCCCFeK3LtxldLRiwIIYQQQgghhBAi32TEghB5ZEhSUUfIkUqhKOoIOVJR/DPqCwOSizpCjvRlfetDLZPlO4ECow/bZQlFYlFHyJEevOUAcOL3i0UdIUctx9cv6gg5CzhS1AlyRUHx/7paH45BQuSWdCwIIYQQQgghhHitqOTija+UfO0hhBBCCCGEEEKIfJMRC0IIIYQQQgghXivJcvXGV0pGLAghhBBCCCGEECLfZMSCEEIIIYQQQojXilxj4dWSEQtCCCGEEEIIIYTIN+lYEEIIIYQQQgghRL7JqRBCCCGEEEIIIV4rcirEqyUjFoQQQgghhBBCCJFvMmJBCCGEEEIIIcRrRQYsvFoyYkEIIYQQQgghhBD5Jh0LQgghhBBCCCGEyDc5FUIIIYQQQgghxGtFLt74asmIBSGEEEIIIYQQQuSbdCy8pDt37qBQKPD39y/qKEIIIYQQQgghAJVKVWS3N5GcCvEK3blzh2rVqnH+/HkaNGhQ1HHybdasWezcubNIOlNUKhVbNqzi7327efrkMbUcnRnzwRQcqlTLdrqTxw+zae0KHj18gG3FSgwePoa3WrZVP3/l8gV8/tjIrZvXUUZF8smXc3irRZt8Zfxzz052bt+MMioSe4eqjB43EWeX+jrbX77kj7fXr4QE38HS0pre/d+jS9ee6ueD795m4zpvgm5eJzwslFFjP6JH7/75ypYxo8/2TakZqzEqh4xX1BlvqzO6d+2lkXHTOm+CbgYSHhbKyLEf0aP3gJfKuG/PjtSMUdg7VGXkuIk4u7hmm3GV1y+EBN/BwtKK3v0HaWSEnLeD/CisbRLyXgNdCnp9p+XfuHalRv7mLfO3z6SRWhZMLfWhjvqSMyWjNwdSM9Z0dGbsB1OxzyHjqeN+GhkHDR+rkfHqZX98/tjErZuBqe85c2mWz/cc3z0+7Pwj9T2nSlVGj/uIutm+51xgpdevhNy9g6WVNX36DaRLt/T3nP379vDPwb8JvnsbgBo1azP0/dHUdqyTr3wZtW9oSFNHQ0xKQki4it0nEwmL1v0BvGFNA/q3Ncry+MzVcSQmpd9/y8mA1vVKUNYEwqJV7D2dyN3Q/H2wL84ZLVs3ofrHozFr5EKpSjac7fchobsOZj9Nm6Y4//gZZZxrEfcgjCDP5QQv26TRxrZPZ2rP+j9MazjwLCiYwK8XEepzIE/ZMtOHfUcfPq/pw3FSiDRvzIiF+Pj4oo5QbKhUKhITE1/ZdAVp57aN7N6xhTETprBg0e+YW1jyzZcf8/zZM53TBAZcZuH82bi174zn0hUp/86fxfVrV9Vt4l48p2q1moyZMOWl8h07coiVXr/Qf+BQPJd44exSn29nfkp4WKjW9qGPHjJn5gycXerjucSLfgOHsOL3nzl5/HB6trg4KthWYtiIcVhYWL5UvrSM3l5L6TdwKJ5LllPHpR5zZn6SQ8bPqONSD88ly+mrM2NFho0Yh3kBZDyuzjiMH5d4UcelPnNzqOPcmZ9Sx6U+Py7xot/Aoaz8fYlGxtxsB/lRWNtkXmugS2Gs78CAK3im5l+4dLnUspjVsrjXUZ9y7ty2gT07tjB6whTmL1qWmtEjVxnbtnfHc+lK2rZ3Z+H8mRoZX7x4QdVqNRj9su85h/9h5bJfGDBwCAt/XoZz3Xp8+/Vn2W6T3349A+e69Vj48zL6vzuY5b8v5cSxI+o2ly9eoI1be76dt5AFnkspX96GWV9+QmRE+EtlbVPPkFZ1Ddl9MpFfdyXw5LmKkV2MKJnDV1wv4lXM2xinccv4B3u9agZ0fasEhy8k8otPAndCk3m/sxFmpV+/jIalTYm9GMiV//smV+1NqtrRdPcyoo6d41jT3txc8D/qLvoC2z6d1W3Mmzeg4YZF3F/vw9HGvbi/3odGGxdj3kz3H9i5Uez3HT34vAb6cZwszpKTVUV2exO9th0L7dq1Y+LEiXh4eGBtbU2nTp04fPgwzZo1w9jYmIoVK/LZZ59p/KG8b98+Wrdujbm5OVZWVnTv3p2goCCN+f777780bNiQUqVK0aRJE86fP5/vjH5+figUCg4ePEiTJk0wNTWlZcuWBAYGqtvMmjWLBg0asHbtWqpWrYqZmRnvvfcejx8/VrdRqVR8//33VK9eHRMTE1xdXdm2bVuW5fz11180adIEY2Njjh49SlxcHJMnT8bGxoZSpUrRunVrzpw5k+10a9euZfbs2Vy4cAGFQoFCoWDVqlXqrA4ODhgbG1OpUiUmT56c79poo1Kp2OOzlX4Dh9G8VVscqlZnkscM4uLiOHpYd8/6Hp9tuDZsTN93h2JnX4W+7w6lnmtj9vhsVbdp1KR5yreErV7u2+tdO7bSoXNXOrl3w96hCqPHTcTK2oZ9vru0tv/LdxfW5W0YPW4i9g5V6OTejfad3mHn9i3qNrVqOzFi9ATauLWnhFHWb0Xyarc6Y3fsHKowetwkrKxt+MvXJ4eMk7BzqEIn9+607/QOPts3a2R8f/QHtHbrgFGBZNxC+85d6ejeHTuHqowaNwkr6/I6M+739cG6vA2jxk3CzqEqHd27075TV3ZtT/9WJjfbQV4V5jaZ1xroUhjre7fPNlwbNqHfu0Ows69Cv3eHUM+1EXt8tmmdZ25ILQumlvpQR33JqVKp2Ouzlb4Dh9G8lVtqxs9TM/6tc7q9Plup37AJfd8dSuUMGfdmes8ZNHwszVu55SlTZj47ttKx8zt06pLynjNm/ESsy9uwb6/295x9vrspb2PDmPGp7zldutGh0zv4ZHjP8fjkC7p270X1GjWxs3fgw8kfo0pWcfFC/j/vALSqa4jfhSSu3k0mLFrFtiOJGBmCa43sP4qqVPDkueZNY74uhpy7nszZ68mEx6jwPZ1EzFMVbzkZvnYZw/86wvWZi3m0U/f2l1GVce/xIvghVz/+jifXbhGychshq7ZT3WOUuk21Se8TceAEQd8v42ngLYK+X0bEoVNUnfR+nrJlpA/7jj58XtOH46QQGb22HQsAq1evpkSJEhw/fpzvvvuOrl270rRpUy5cuMBvv/3GihUrmDNnjrr906dP8fDw4MyZMxw8eBADAwP69OlDcnKy+vnu3bvj6OjIuXPnmDVrFtOmTXvpnF988QWenp6cPXuWEiVKMGrUKI3ng4KC2LlzJ3v27GHPnj0cPnyY+fPnq5//8ssv8fb25rfffuPKlStMnTqVoUOHcvjwYY35fPLJJ8ybN4+AgADq16/PJ598wh9//MHq1av577//qFmzJu7u7kRFRemcrnPnznz88cfUrVuXhw8f8vDhQwYOHMi2bdtYtGgRv//+Ozdu3GDnzp3Uq1fvpWuTUeijh0Qro3Bt1ET9mJFRSeq6uBIYcFnndNevXcG1YVONxxo0akpgwJUCzZeQkEDQzes0aNhE4/EGjZpwTUe+wGtXadBIs33DRk0JuhFYKKNDUjIGaq3HNR31uH7tCg0aZW7frJAzXqdBpoyujZrqXM+B167gmiWjZh0LYzsorG0yPzXQprDW9/VrV7Jka9iomc555obUMt3L1LK411GfcoapM6bPy8ioJM75yOjaqFm+6pQd9WvN9B7SoGETndtPYMCVLO9RDRs34WY2x/P4uDiSkhIpU6ZsvrNalIWypgpu3k9WP5aUDHceJeNgk/1H0ZJGMO3dknwysCTDOpagoqVC/ZyhAVSyUnDzQbLGNDfv5zxffcyYV+bNGxB+4LjGY+H7j2LW2AVFiZRhGBbNGxBx4JhGm4i/j2LRomG+l6s3+04x/rwG+nGcFCKj1/oaCzVr1uT7778HYM2aNdjb27N06VIUCgVOTk48ePCATz/9lK+//hoDAwP69eunMf2KFSuwsbHh6tWruLi4sH79epKSkli5ciWmpqbUrVuXe/fu8cEHH7xUzrlz5+LmltLz+tlnn9GtWzdevHhBqVKlAEhOTmbVqlWULZvypj5s2DAOHjzI3Llzefr0KQsXLuTQoUO0aNECgOrVq3Ps2DF+//139XwBvvnmGzp16gSkdJL89ttvrFq1infeeQcALy8v/v77b1asWMH06dO1TgdQpkwZSpQoga2trfqx4OBgbG1t6dixI0ZGRjg4ONCsWTOdrzkuLo64uDiNx+Lj4ihpbKxzmmhlSoeHubnm8DIzcwvCw3UP3YpWRmFuYaHxmLmFhXp+BeVxbAzJycmYm2dalrkF0Uql1mmUyigaammflJREbGwMlpZWrySjmbnueiiVUTR45RmTMMu0ns2zyRitjNLymixJSkricWwMFpZWhbIdFNY2mZ8aaFNY6ztaGYVZpvxmUsssiqKWxb2O+pRTqYzUmtHc3JLw8Ef5zlhQdG6TFhYodR4rlVm2t5yO52u8vbC0ssa1YeN8Zy1rkvKH9pPnmsODn7wA89IKbZMAEBGj4o+jiYQqVRgbQUtnQ8Z1N2LpzgQiY1WYGoOhgSLrfJ9DGdPXL2NeGVewJi40QuOx+LBIDIyMKGltQdyjcIxtrYkLjdRoExcaibFt+XwvV1/3neL0eQ304zhZ3L2pF1EsKq/1iIUmTdJ7+AICAmjRogUKRfqbQ6tWrXjy5An37t0DUkYGDB48mOrVq1OuXDmqVUu5MEpwcLB6Hq6urpiapr8TpP0x/zLq108/j61ixYoAhIWFqR+rWrWqulMhrU3a81evXuXFixd06tSJMmXKqG9r1qzJchpHxnoEBQWRkJBAq1at1I8ZGRnRrFkzAgICdE6ny4ABA3j+/DnVq1dn7Nix7NixI9se3Hnz5mFmZqZxW/77zxptjvzzN0P6dVHfkpJS5pdxHaZQoUD3m34KzedVKm3zKSAKbcvKrnmm9qQcBHN+TfmX5bWrVPnMWHi0RMy2kNq2Cy2tsswzL9vBq94m81oDnUsqhPWd+fWpcphnZlLLDG1eopb6Ukd9yHnkn/0M7eeuviUlJWmfVy4yal+nr+Y9hxyWlTWb9scBtm/dxNHDh/jsy9mULFky15Fcqxvw9bCS6ptBNp82s/vYHxKu4kJQMo+iVNwNVbHpn0QiY1Q0r6M5w8x/OygUOcxYTzIWCK0LzvS4tjZ5+IPsddl3ivrzmj4cJ4XIzms9YqF06fSr4mg7MKX1YqU93qNHD+zt7fHy8qJSpUokJyfj4uKivvBjYfV6ZTwnPS1L2ukXmZ9Pa5P2fNq/e/fupXLlyhrtjDN9+5+5HhmXl/HxzI9lnE4Xe3t7AgMD+fvvvzlw4AAffvghP/zwA4cPH9Z6zv2MGTPw8PDQeOxmiGYvcdO3WlErw1WoExISgJSecIsMPcMx0dFZemYzMrewzNIDGxOtxMxc9zT5UbacGQYGBlmXFaN7WRYWllm+WYqJjsbQ0JCy5coVaL6MGbMsMyY6S891xoxZ65eW0ayQMhpqrWPmbxfSmGuto1IjY0FsB69qm8xPDbQprPWtLX9stO55aiO1LJha6ksd9SFn07daU8vRWX0/UZ0xCgtLa83l5ZBR23H9lb3nREdnc6zM+o1kTIxS63vOzj82s23Ler6Z+yNVq9XIU7aA4GRCwtMvml3CMOVzRRkTBY8zfHNfplTWEQLZUQH3IlRYmxkASTyLg6RkFWVNNf9KL10q63UO9DHjy4oLjcgy8qBkeUuSExKIj4xOafMoAmNba402xjaWWUY6ZOe12XeK+POaPhwn9Y3qDb2IYlF5rUcsZOTs7MyJEyc0OgdOnDhB2bJlqVy5MpGRkQQEBPDll1/SoUMH6tSpgzLTcChnZ2cuXLjA8+fp7wSnTp16Za9BG2dnZ4yNjQkODqZmzZoaN3t7e53T1axZk5IlS3LsWPp5dQkJCZw9e5Y6dbL/SamSJUuqe6MzMjExoWfPnixZsgQ/Pz9OnjzJpUuXtM7D2NiYcuXKadwynwZhYmpKxUp26pu9Q1XMLSy5eP6sRuYrly/gWMdFZ97aTnW54H9W47EL58/gWKdutq8zr4yMjKhRszYXzmde1jmcdORzdHLmwvlzGo/5nz9LjVqOlChR8P1+KRkdtWQ8i5OOetR2qqul/ZlCzpi1jhfPn9W5nh2d6mpsFwD+mTIWxHbwqrbJ/NRAm8Ja39ry+58/o3Oe2kgtC6aW+lJHfciZOaOdjoxXc5Hxov8ZjcdSMuZ+e8uNtNfqn+U95JzO7cexTt2s7f87S81Mx/Md2zaxZeM6Zn67gJq1HfOcLT4Roh6n38KiVTx+pqJm5fSPnYYGUNXWgOCw5GzmlFVFSwWPn6V8lktKhgeRKmpW0vw4W7NSzvPVh4wvK/qUP9YdWmo8Vr5Ta2LOXUaVOqpUecof6w6tNNpYd2yN8mTuL9apr/tOcfu8pg/HSSGy88Z0LHz44YeEhIQwadIkrl27ho+PDzNnzsTDwwMDAwMsLCywsrJi2bJl3Lx5k0OHDmX5Rn3w4MEYGBgwevRorl69iq+vLz/++GMRvaIUZcuWZdq0aUydOpXVq1cTFBTE+fPn+eWXX1i9erXO6UqXLs0HH3zA9OnT2bdvH1evXmXs2LE8e/aM0aNHZ7vMqlWrcvv2bfz9/YmIiCAuLo5Vq1axYsUKLl++zK1bt1i7di0mJiZUqVKlwF6rQqGge68B/LFlPadPHCH4zi2WLpqHsbExbdw6qtst8ZzLulXL1Pe79ezPhf/OsmPrBu6F3GXH1g1c9D9H914D1G2eP3/G7aAb3A66AaRceOh20I08/+xOzz4DOLDflwP7fQkJvsvKZb8QER6Ke9ceAKxd5cVPnt+p27t37Ul4WCgrvX4hJPguB/b7cnC/L737vqtuk5CQwO2gm9wOukliYiKRkRHcDrrJwwf381bAVD36DODg/r0c3O/LveC7rFy2lIjwUDqn/hbzulXLtGb09vqFe8F3OZiasVffgZkyptQvMTGRqMgIbgfd4OGDe/nM+G5qxr3cC76D97KlRISHaWRc4jlX3b5z116pGZdyL/gOB/fv5dB+X3r2fU/dJjfbQV4V5jaZUw1yqzDWd/ee/fD/7wzbU/NvV+fP/+91Sy0Lppb6UEd9yalQKOjWawDbt6xTZ/xFnTH9ukNLPOeyftXv6vtd1RnXcz/kLju2rueS/1m6ZfOeE5rP95xefQZw4C9fDuz/k5Dgu6zI/J7j7cXiH+ep23fp2iPlPWfZr6nvOX9yYP+f9MrwnrN96ybWr/Fm4pTp2NjYooyKQhkVpfGlSn4cv5KEW31DnKsYYGOuoF+bEiQkwYWg9D+u+7ctQefG6b+U0L6BITUrK7Aom/LHet/WJahopeDfa+lfbhy/nETj2gY0rmVAeTMFXZsZYlZGs83rktGwtCnlXJ0o5+oEgGk1O8q5OlHKPuU0Wsc5Hrh6L1C3v7tsEyZVKlHnh88o41QduxH9sB/Zj1sLV6rb3Fm6ButOrag+bSylHatTfdpYrDu04M7Puj9D5kQf9h19+LymD8dJITJ6rU+FyKhy5cr4+voyffp0XF1dsbS0ZPTo0Xz55ZcAGBgYsGnTJiZPnoyLiwuOjo4sWbKEdu3aqedRpkwZdu/ezYQJE2jYsCHOzs4sWLAgy0UfX7Vvv/0WGxsb5s2bx61btzA3N6dRo0Z8/vnn2U43f/58kpOTGTZsGI8fP6ZJkyb89ddfWGQzvAqgX79+bN++nbfffpvo6Gi8vb0xNzdn/vz5eHh4kJSURL169di9ezdWVgV7MZve/QcRHx/Hsl8X8fTJE2o51uHrb3/EJMN1LyLCw1Ao0vvMnJxd8Pj0azasXcGmdSuoYFsJj09nUdspfdhe0I1AZs6Yor6/avkvALTr0IVJHjNyna912/Y8jo1ly8Y1KKOicKhSlS9nz8fGJuVCl8qoSMLD06+fUcG2Il/Onoe316/8uccHSysrRo+fRIsMP6OkjIrEY/JY9X2f7Zvx2b6ZuvVcmTN/ca6zZc24OjVjNb6YvUAjY0SGiwKlZJzPSq9f+HPPTh0ZI/hYR8Zv5/+U54yt2rbncWwMWzeuQRkViUOVanyeJaNmHb+YvQBvr6XsS804avxkjYy52Q7yo7C2yZxqkFuFsb7T8m9cu4JN61ZSwbYSH386U2pZTGpZ3OuoTzl79x9MfHwcXr8uVGf86lvPTBlDMchwCqGTcz2mfjqTjWuXszk141Qt7zmzZvyf+v7q5UuBlPeciR7Zv3dn1NrtbWIfx7J5Q+p7TtWqfDV7HjYVUl5rlDIqy3vOV9/MY+WyX/BNfc8ZM34iLVun/9Tyn3t9SExM4PvvZmksa+Dg4QwaOiLX2TI7eikJoxLQs0UJSpWEe+EqvPclEJ/hckxmpRUap/aXKgm9WxlR1gRexMPDSBVeexO4F5He6NLtZEyNE3m7QQnKmkKoUsWa/QlEP339Mpo1dqHFwbXq+84/pmwrIWu2c3H0DIwrlscktZMB4Pmde5zpMQ5nzxlU+WAIcQ/CuDJ1Lo927Fe3UZ48z/khHjjOnoLj7Mk8Cwrh/OCpRP97MW/hMin2+44efF4D/ThOFmdyKsSrpVDJ5TJFMXH5pu4rBRcnBhTu0MWCoCrUyyoWDH3IqC8Ur+QKYC9HX9a31PLNog+1LKEonJ+yK0jrDlvn3EjkSsvx9XNuVMQcAo4UdYRcMSTvo1ZetWQ9GDzuUlN/OxtGzQ7LuVEhWTnTpsiWXVTemBELQgghhBBCCCHeDMny/fkrVfy7yfTIhAkTNH7yMeNtwoQJRR1PCCGEEEIIIYQocDJioQB98803TJs2Tetz5QrhpwOFEEIIIYQQQmQl11h4taRjoQDZ2NhgY/PmnU8jhBBCCCGEEOLNJadCCCGEEEIIIYQQIt9kxIIQQgghhBBCiNeK/PjhqyUjFoQQQgghhBBCCJFvMmJBCCGEEEIIIcRrJVku3vhKyYgFIYQQQgghhBBC5Jt0LAghhBBCCCGEECLf5FQIIYQQQgghhBCvFZWcCvFKyYgFIYQQQgghhBBC5JuMWBBCCCGEEEII8VqRn5t8tWTEghBCCCGEEEIIIfJNRiwIIYQQQgghhHitqJKTizrCG0U6FkSxkazSjwE0CkXxH1aVrAeDkQzQj4O9CkVRR8iRPmRUUPz3G32hD+vbkKSijpAriari/zFIH47nQ90iijpCrujD+ibgSFEnyFFwnbZFHSFX/vjyaFFHyFFSUvH/LLT6m6JOIPRF8X+3EkIIIYQQQgghRLGlB123QgghhBBCCCFE7iXLz02+UjJiQQghhBBCCCGEEPkmIxaEEEIIIYQQQrxW5OcmXy0ZsSCEEEIIIYQQQoh8k44FIYQQQgghhBBC5JucCiGEEEIIIYQQ4rWikos3vlIyYkEIIYQQQgghhBD5JiMWhBBCCCGEEEK8VmTEwqslIxaEEEIIIYQQQgiRb9KxIIQQQgghhBBCiHyTUyGEEEIIIYQQQrxWklXJRR3hjSIjFoQQQgghhBBCCJFv0rGQB6tWrcLc3DxP0/j5+aFQKIiOji6UTEIIIYQQQgghNKmSVUV2exPJqRCvmVWrVjFy5EicnJwICAjQeG7Lli0MHDiQKlWqcOfOnZdaTrt27Th8+HCWxxMSEihRovA2K5VKxdYN3hz4axdPnjymVm1nxnzggX2VatlOd+q4H5vWLSf04QMqVKzEoGHjeKtlW/XzVy/7s+uPjdwKCkQZFcn0L+bSrEXbbOao2597duKzfRPKqEjsHaoxatxEnF3q62x/5ZI/3l6/EhJ8G0tLa3r3fw/3rr002pw8fpiNa1fy6OEDbCtWYvDwMTRv2SZf+SCljls2eHNg326ePnlMTUdnxn4wNXd1XLtCnWPQ8LFZ6ujzxyZu3Uyp4ydfzqVZi/zl1Ic6QlotV/F3ai1rOToz5oMpOORQy5PHD2vUcvDwMRq1BNi3Z0dqDaKwd6jKyHETcXZxLTYZr1y+gM8fG7l183rq+p7DW6/5+taHnPqyf+/cvjm1jlUZnUMdL6vreEddxy5de6qfD757m43rvAm6eZ3wsFBGjf2IHr375ytbRoX1nrNjy1pOnzzC/Xt3KVnSGMc6LgwZ8QGV7RzynLGgt8ngu7fZtM6boJuBhIeFMnLsR/ToPSDPuTLy3ePDzj9S13eVqowe9xF1s13fF1jp9Sshd+9gaWVNn34D6dItfX3v37eHfw7+TfDd2wDUqFmboe+PprZjnZfKqQ/7TnHPaNm6CdU/Ho1ZIxdKVbLhbL8PCd11MPtp2jTF+cfPKONci7gHYQR5Lid42SaNNrZ9OlN71v9hWsOBZ0HBBH69iFCfA3nOl1kvt9K4NS6FaSkDbt1PYJ3vYx6EJ2U7jYmxgn4dStPIyZjSJgaEK5PYvP8Jl27GA9CuiQlvNzHB2jzl+9v7YUnsPvJU/Xxe9X67DO0am1DaxICgewms3RPL/fDEbKcxLaWgX4cyNHFOeW0R0Uls3BfLxRvx6nn2ebuMxjTRj5P4vx/C85VRCJARC6+l0qVLExYWxsmTJzUeX7lyJQ4Oef/QosvYsWN5+PChxk1bp0J8fP4OpNr4/LGBPTs3M3rCVOYv9MLcwpJvv5rK82fPdE4TGHCZRQtm4fa2Oz/+7I3b2+4sWvA1NwKvqNvEvXhBleo1GT1h6kvlO3bkEN5eS+k3cCieS5ZTx6Uec2Z+QnhYqNb2oY8eMmfmZ9RxqYfnkuX0HTiEFb//zMnj6Z02gQFX8Jw/G7f2nVm4dDlu7TvjOX8W169dzXfOnds2sGfHFkZPmML8Rcswt7Dkmy89cqzjwvmzadveHc+lK2nb3p2F82dq5Hjx4gVVq9Vg9IQp+c4G+lNHgJ3bNrJ7xxbGTJjCgkW/p9by41zV0q19ZzyXrtCa5bi6BsP4cYkXdVzqM3fmpzprUBQZ4148p2q1mox5Q9a3vuTUh/17pdcv9B84FM8lXji71OfbbLbtlDrOwNmlPp5LvOinpY5xcXFUsK3EsBHjsLCwfKl8GRXWe86Vy/64d+vDdz/+zlffLiIpKYk5X3nw4sXzPOUrjG0ypZYVGTZiHOYFUMtjh/9h5bJfGDBwCAt/XoZz3Xp8+/Vn2Wb89usZONetx8Kfl9H/3cEs/30pJ44dUbe5fPECbdza8+28hSzwXEr58jbM+vITIiNe7o+i4r7v6ENGw9KmxF4M5Mr/fZOr9iZV7Wi6exlRx85xrGlvbi74H3UXfYFtn87qNubNG9BwwyLur/fhaONe3F/vQ6ONizFvprtzKjfeaWVK5xYmrPN9wrdeUcQ8SWbaMHNKlVTofn0GMG2YOVZmhvy6NZbPl0ayevdjoh+nn8uvjE1i24EnfLNMyTfLlFy7E8+k98yoVN4wzxm7ti5NlxamrN0by6zfI4l5ksT09y2yz2gI09+3xNrCkKWbo/lsSTgrfWJQxmpeb+BeaAKTvw9T3778JSLP+Yo7GbHwaul1x8Lu3bsxNzcnOTllR/H390ehUDB9+nR1m/HjxzNo0CAATpw4Qdu2bTExMcHe3p7Jkyfz9OlTddv4+Hg++eQTKleuTOnSpXnrrbfw8/PTufzIyEiaNWtGz549efHiBQC+vr7Url0bExMT3n777SwjAyIjIxk0aBB2dnaYmppSr149Nm7cqH5+zZo1WFlZERcXpzFdv379GD58eK7qUqJECQYPHszKlSvVj927dw8/Pz8GDx6cpf1vv/1GjRo1KFmyJI6OjqxduzZXyzE1NcXW1lbjBlC1alXmzJnDiBEjMDMzY+zYsbmaX05UKhV7fbbQd+Bw3mrphkPV6kz0+IK4uDiOHf5b53R7d22lfsMm9Hl3GJXtq9Dn3WG4uDZmr89WdZuGTZozaNhY3mrp9lIZd+/YSofOXenk3h07hyqMHjcJK2sb/vL10dr+L99dWJe3YfS4Sdg5VKGTe3fad3oHn+2b0+fpsw3Xhk3o9+4Q7Oyr0O/dIdRzbcQen235yphSx630HTiM5q1S6jjJ43Pi4uI4ml0dfVLq2PfdoVS2r0Lfd4dSL1MdGzVpzqDhY2ne6vWvI6TUco/PVvoNHEbzVm1TazkjtZa6v0nZ47MN14aN6fvuUOwy1HJPhlru3rGF9p270tG9O3YOVRk1bhJW1uV11qAoMjZq0jzl2/VW+Rvdk0Zf1rc+5NSH/XuXuo7dsHeowuhxE7GytmGf7y6t7dPrOBF7hyp0cu9G+07vsHP7FnWbWrWdGDF6Am3c2lPCyOil8qUpzPecL7/x5O2OXbGvUo2q1Wvy4ZQZRISHcutmYJ4yFsY2Wau2E++P/oDWbh0wKoBa+uzYSsfO79CpS8r6HjN+Itblbdi3V/v63ue7m/I2NowZn7q+u3SjQ6d38Mmwvj0++YKu3XtRvUZN7Owd+HDyx6iSVVy8cD7fOfVh39GHjOF/HeH6zMU82qk7T0ZVxr3Hi+CHXP34O55cu0XIym2ErNpOdY9R6jbVJr1PxIETBH2/jKeBtwj6fhkRh05RddL7L5W101sm7Dn6jP+uxXE/PIkVO2MpaaTgrXrGOqdp07AUpU0MWLo5hpshCUTGJHMjJIGQ0PQRBBeux3PpZjyhUUmERiWx/dBTXsSrqGGX9/3JvYUpu4485VxAHPfDEvHaHkNJIwXN65fSOU3bhiaUMVGwZEM0N4JTMwZrZgRISoaYJ8nq2+Nnb+Yfw/pGqVQybNgwzMzMMDMzY9iwYTmecq9QKLTefvjhB3Wbdu3aZXn+vffey1M2ve5YaNu2LY8fP+b8+ZQ3ksOHD2Ntba0xRN/Pzw83NzcuXbqEu7s7ffv25eLFi2zevJljx44xceJEdduRI0dy/PhxNm3axMWLFxkwYABdunThxo0bWZZ979492rRpg5OTE9u3b6dUqVKEhITQt29funbtir+/P2PGjOGzzz7TmO7Fixc0btyYPXv2cPnyZcaNG8ewYcM4ffo0AAMGDCApKYldu9LfcCMiItizZw8jR47MdW1Gjx7N5s2beZbag71q1Sq6dOlChQoVNNrt2LGD//u//+Pjjz/m8uXLjB8/npEjR/LPP//kelna/PDDD7i4uHDu3Dm++uqrl5pXmrDQh0Qro3Bt2FT9mJFRSZxdGhAYcFnndNevXdaYBqBBo2bZTpMfCQkJBN0M1LKsplwLuKJ1muvXrtCgUdZsQTcCSUxMTG+TaZ4NGzXTOc+chD1KrWOjzHV0zaGOV7K8Ntc3uI6Q8s1aSi2bqB8zMipJ3XzUskGjpgSmZkmpwfUseV0bNc1zvQsrY0HRl/WtLzn1Y/++ToOGTTQeb9CoCdd0LCvw2lUaNNJs37BRU406FoZX+Z7zLPVLjjJlyuU6X2FtkwVJvb4zrb8GDZvozBgYcCXL9tGwcRNuZpMxPi6OpKREypQpm++sxX3f0ZeMeWXevAHhB45rPBa+/yhmjV1QpI6CtWjegIgDxzTaRPx9FIsWDfO93PLmBpiXNeRKUPqo2sQkCLyTQM1sOgAaOBoTdC+BoV3Lsuhja775wJJurU1R6BhAoFBAs7rGGBspCApJyFtGC0PMyxpy+Wb6l40pGeOpZV9S53QNnUpxMySB4d3LseST8sz9yIrubUtnyWhrZcjiaeX5cao1Hwwwo7xF3kdUiFdv8ODB+Pv7s2/fPvbt24e/vz/Dhg3LdprMI8xXrlyJQqGgX79+Gu0yj0b//fff85RNrzsWzMzMaNCggXpUgZ+fH1OnTuXChQs8fvyYR48ecf36ddq1a8cPP/zA4MGDmTJlCrVq1aJly5YsWbKENWvW8OLFC4KCgti4cSNbt26lTZs21KhRg2nTptG6dWu8vb01lnv9+nVatWpFx44dWb16tXr4/2+//Ub16tVZtGgRjo6ODBkyhBEjRmhMW7lyZaZNm0aDBg2oXr06kyZNwt3dna1bU3qNTUxMGDx4sMYy169fj52dHe3atct1bRo0aECNGjXYtm0bKpWKVatWMWrUqCztfvzxR0aMGMGHH35I7dq18fDwoG/fvvz44485LuPXX3+lTJky6tvHH3+sfq59+/ZMmzaNmjVrUrNmzSzTxsXFERsbq3GLj4/L0i6jaGUkAGbmmkMzzcwt1M9pny5KyzSWRCujcnyNefE4Nobk5GTMzS205NO+LKUyCrNM7c3NLUhKSiI2NgZIzW+RaZ4WuueZE2Vqrcwz1cQ8h5pEK6Mwz5TD/CVy6KIvdUybZ8qysm6TypeoZUoNkrJst+bZ1OBVZywo+rK+9SWnvu7fKdu2Uus0SmWU1vYZ61gYXtV7jkqlYvXypTg518ehavVc5yusbbIg6cxoofv4E61UZtkncsq4xtsLSytrXBs2znfW4r7v6EvGvDKuYE1cqOYQ/PiwSAyMjChpnZLZ2NaauFDNfS4uNBJj2/L5Xm65Mil/AsU+0Tw9IPZpMmZldP95VN7CkCbOxhgYwOIN0ew58hT3FqZ0b2Oq0a6yjSG/zrBm2ZflGd69LEs3x/AgIvtrN2SWliP2qZaMZXPKWAqFAhauVbLr8FPeaVmanm6l1W1u3Ytn2fYYflyjZKVPLGZlDPlyjCWlTXSfYqGPVCpVkd0KQ0BAAPv27WP58uW0aNGCFi1a4OXlxZ49ewgM1D3iLfMIcx8fH95++22qV9d8z8k8Gt3MzCxP+fS6YwFShm34+fmhUqk4evQovXr1wsXFhWPHjvHPP/9QoUIFnJycOHfuHKtWrdL4Q9jd3Z3k5GRu377Nf//9h0qlonbt2hptDh8+TFBQkHp5z58/p3Xr1vTu3ZslS5agyND9FxAQQPPmzTUea9GihUbepKQk5s6dS/369bGysqJMmTLs37+f4OBgdZuxY8eyf/9+7t+/D4C3tzcjRozQmG9ujBo1Cm9vbw4fPsyTJ0/o2rVrljYBAQG0atVK47FWrVqpL/y4fv16jXocPXpU3W7IkCH4+/urbzNmzFA/16SJ5rcNmc2bN089hCfttuJ/SzTaHP1nP0P7d1bf0r6pyFIGlUrLg5qy1E6lynM9c0v7snLfXkXKwSjjowoytclhnhkd+Wc/Q/u5q29JSUmpy80UE1WW5WTJqjXHm1FHgCP//M2Qfl3Ut6SktG0yy0aZYy3JkiXrfLSUIMdt/VVnLCjFcX3nZrlFnVNf9+/MAXM6jOuuY8HlK6r3nBX/W0TwnSCmfDIzX7kLY5sscHl8D866LWp/HGD71k0cPXyIz76cTcmSur/FzUwf9h19yFggMv8RlpYr4+Pa2uThj7fm9Yz5dYa1+mZomLKMLHNQaHks02Jjnyazavdj7j5M5N8rcew5+pS3m5hotHsUkcSs/ymZu1zJP2efM6Z3OSpZZz8ioEX9Uvz+hY36ZpjaXNvLzO6lGyjg8dNkvHfFcudhIqcvv2DXkSe0b5re+XHxRjxnr8ZxLyyRq7fiWbgupWO3dUMTXbMVeaTtS9TMp7rn1cmTJzEzM+Ott95SP9a8eXPMzMw4ceJEruYRGhrK3r17GT16dJbn1q9fj7W1NXXr1mXatGk8fvw4T/n0/lch2rVrx4oVK7hw4QIGBgY4Ozvj5ubG4cOHUSqVuLmlnCuWnJzM+PHjmTx5cpZ5ODg4cPHiRQwNDTl37hyGhpo7fpky6VdNNTY2pmPHjuzdu5fp06djZ2enfi43vVOenp4sWrSIxYsXU69ePUqXLs2UKVM0LnDYsGFDXF1dWbNmDe7u7ly6dIndu3fnuTZDhgzhk08+YdasWQwfPlznrzVk+ZCR4c2mZ8+eGhtv5cqV1f83MzPTOhoBUi4gmZ0ZM2bg4eGh8dj1EM1vIpq81Zqajs7q+4kJKUPIopVRWFhaqx+PiYnO0nufkbmFZZZvl2JilFm+tXlZZcuZYWBgkOVbmJiY6CzfXqWxsMj6LUNMdDSGhoaULZfSS2iupU1stO55Ztb0rdbU0lJHZeY6Rmf9ligjcwvLrK8tOvqNqSNA07daUSvDVccT1LWMxMLSSmPZmb8dykhblpjo9G0ypQaGWdvEKLN881dUGQtKcV7f+pBTX/dvbdu2rmVZ6MiWUsfcnzqQk6J4z1nxv0WcPX2c2fN/xsraJk95C2ubLEg613d0tM5jmbZv0mNilFrX984/NrNty3q+mfsjVavVyFM2fdh39CHjy4oLjcgy8qBkeUuSExKIj4xOafMoAmNba402xjaWWUY6ZMc/MJ5b99JHRaV9JDYrY0BMhlEL5UwNsoxiyCjmcTJJyZp/2D+MSMK8rCGGBinXLYCUf8OUKR1Bdx4mUq2SER2bm7Jmj+4/1M5fiyPoXvqxwyi18yNLxtLZZ4x+kkxSkkozY3hiSkZDSNIycCI+QcW9sERsLfX+T0MNadfhKwrz5s1j9uzZGo/NnDmTWbNm5Xuejx49wsYm63uFjY0Njx49ytU8Vq9eTdmyZenbt6/G40OGDKFatWrY2tpy+fJlZsyYwYULF/j779xdLwVegxELaddZWLx4MW5ubigUCtzc3PDz81NfXwGgUaNGXLlyRT00P+OtZMmSNGzYkKSkJMLCwrI8n3ZRQgADAwPWrl1L48aNad++PQ8ePFA/5+zszKlTpzTyZb6fNqpi6NChuLq6Ur16da3XcBgzZgze3t6sXLmSjh07Ym9vn+faWFpa0rNnTw4fPqz1NAiAOnXqcOyY5nlrJ06coE6dlD9MypYtq1ELE5OC6ck0NjamXLlyGreSJTUvlmNiakrFSnbqm51DVcwtLLl4/oy6TUJCAlcv++NYx0Xnsmo7uXDx/FmNxy6cP5PtNPlhZGREjZqOXMiyrLM41amrI1tdLe3PUKOWo7ojqLZTXS74a7bxP39G5zwz013H9Hmm1PFCDnWsy0X/MxqPvUl1hKy1tNdRyyu5qGXmLCm1TMmSUoPaWV7TxfNnc6z3q8pYUIrz+taHnPq5f2fdti+cP4eTjmU5Ojlz4fw5jcf8z5/VqGNBeJXvOSqViuW/LeL0iSPMnLuYCraV8py3sLbJgpS2vv2zrL9zOjM61qmbtf1/Z6mZKeOObZvYsnEdM79dQM3ajnnOpg/7jj5kfFnRp/yx7tBS47HynVoTc+4yqtRRQ8pT/lh30Bxda92xNcqTub9Y54t4FWHKJPXtQXgS0Y+TcK6ePsrF0AAcqxpx857uayHcCEnAxtJQY/xHBStDoh8nqTsVdCmRwyUMXsSrCItKUt/uhycS/TgJl5rpn48NDcGxakluhOj+xbUbwfHYWJbQGNlSwaoEytgkrZ0KadkqWZcg+kneTtcQus2YMYOYmBiNW8bR3RnNmjVL5wUW025nz6bs99pGGuVlBNLKlSsZMmQIpUppXgB07NixdOzYERcXF9577z22bdvGgQMH+O+//3L9mvW+YyHtOgvr1q1TX4Ogbdu2/Pfff+rrKwB8+umnnDx5ko8++gh/f39u3LjBrl27mDRpEgC1a9dmyJAhDB8+nO3bt3P79m3OnDnDggUL8PX11VimoaEh69evx9XVlfbt26t7iCZMmEBQUBAeHh4EBgayYcMGVq1apTFtzZo1+fvvvzlx4gQBAQGMHz9eaw/TkCFDuH//Pl5eXjo7BXJj1apVRERE4OTkpPX56dOns2rVKv73v/9x48YNFi5cyPbt25k2bVq+l1lYFAoF3Xq9y/at6zh94gjBd27xy+LvMDY2prVbJ3W7nz3nsH7V/9T3u/Xsz4XzZ9i5bT33Q+6yc9t6LvmfpVuv9N/lfv78Gbdv3eD2rZROnrDQh9y+dSPPP+3Xo88ADu7fy8H9vtwLvsvKZUuJCA+lc+rvra9btYyfPL9Tt3fv2pPwsFC8vX7hXvBdDu735eB+X3r1Hahu071nP/z/O8P2rRu4F3KX7Vs3cNH/HN175e832lPqOIDtWzLUcdE8jI2NaZOhjks857J+VfpFW7r27M+F/86yY2tKHXds1VHHoBvcDkqpY+ijh9wOej3rCCm17N5rAH9sWa+u5VJ1LTuq2y3xnMu6VcvU97upa5mSZYc6S3ote/R5N7UGe7kXfAfvZUuJCA9T16A4ZMy8vsNe8/WtDzn1Yf/u2WcAB/b7cmC/LyHBd1m57BciwkNx79oDgLWrvLTWcaXXL4QE3+VAah17931X3SYhIYHbQTe5HXSTxMREIiMjuB10k4cP7uetgBkU5nvO8t8WctRvP/83/WtKmZqiVEaiVEbmeZhsYWyTKbVMWc+JiYlERUZwO+gGDx/cy3MNAXr1GcCBv3w5sP9PQoLvsiLz+vb2YvGP89Ttu3TtkbK+l/2aur7/5MD+P+mVYX1v37qJ9Wu8mThlOjY2tiijolBGRfH8ed5+rjMjfdh39CGjYWlTyrk6Uc415XOnaTU7yrk6Ucq+IgCOczxw9V6gbn932SZMqlSizg+fUcapOnYj+mE/sh+3Fqb/stmdpWuw7tSK6tPGUtqxOtWnjcW6Qwvu/Lw6T9ky+/v0c7q3MaWRU0kqlzdkdO9yxCeoOH0pfT8c07ss/Tqkj8L95+xzypgoGPROGSpYGlK/Vkm6tS7NoTPp217f9qWp5WCElZkBlW0M6du+NE5VjTh16UWeM/518hnd25SmcR1jKtuUYGwfM+ITVJy6mD6vcX3NGNAxfXT1oX+fUcZUwZB3ylLByhDX2sb0aFuag/+m/yTpe+5lcaxqhLW5IdXtjJj4njkmxgqOnc//PiQ0afsS1dhY+y+OTJw4kYCAgGxvLi4u2NraEhqadZ8MDw/PcoF+bY4ePUpgYCBjxozJsW2jRo0wMjLS+gW4Lq/FeJe3336b//77T92JYGFhgbOzMw8ePFB/816/fn0OHz7MF198QZs2bVCpVNSoUYOBA9PfTL29vZkzZw4ff/wx9+/fx8rKihYtWmi9NkGJEiXYuHEjAwcOpH379vj5+eHg4MAff/zB1KlT+fXXX2nWrBnfffedRsfAV199xe3bt3F3d8fU1JRx48bRu3dvYmI0TwMoV64c/fr1Y+/evfTu3TvftTExMcl2lEHv3r356aef+OGHH5g8eTLVqlXD29s7TxeKfJV69RtMfFwcy3/z5OmTJ9R0rMOX3yzExDT9vLGI8FAUBum9do516jHlk5lsWrecTeuWY2tbmamfzqaWY/q3JbduBDLr8/TTZFYvXwqAW4cuTJz6Ra7ztW7bnsexsWzZuBplVBQOVarxxewF2NikjHpRRkUSEZ5+QKhgW5EvZ89npdcv/LlnJ5ZWVoweP4kWGX7uycnZBY9Pv2bj2hVsWreSCraV+PjTmdR2cs6y/Nzq3X8w8fFxeP26kKdPnlDLsQ5ffeuZpY4GGXo/nZzrMfXTmWxcu5zN61ZQwbYSUz+dpZEj6EYgs2b8n/p+Wh3bdejCRI/Pc51PX+oI0Lv/IOLj41j26yJ1Lb/+9sdMtQxDoUjvx03LsmHtCjal1tIjUy1btW3P49gYtm5cgzIqEocq1fg8Qw2KQ8agG4HMnDFFfX/V8l+AlPU9yUN7r7w2+rK+9SWn/uzfa1LrWJUvZ8/XqGN4eJi6fUod5+Ht9St/7vHRWkdlVCQek9N/2thn+2Z8tm+mbj1X5sxfnOtsmRXWe85+350AzJqheXrmh1Nm8HbHrJ85dCmMbVIZFcHHOmr57fyfcp1NndHtbWIfx7J5Q+r6rlqVr2bPw6ZCSsYoZVSW9f3VN/NYuewXfFPX95jxE2nZOv1nbf/c60NiYgLffzdLY1kDBw9n0NARec6YprjvO/qQ0ayxCy0Opv9sufOPKdOGrNnOxdEzMK5YHpPUTgaA53fucabHOJw9Z1DlgyHEPQjjytS5PNqxX91GefI854d44Dh7Co6zJ/MsKITzg6cS/e/FXOfS5s/jzyhZQsHQrmUpbWLArXsJeK6N5kV8+jkElmaGJGc4pUAZm4znumjecy/LNx+YoIxN5sDpZ/geT/+j3ayMAWP7lMOsjAHP41TcC01k4fport7K269CAPgee0pJIwXDu5fDtJQBt+4n8MMaZbYZo2KT+WGNksFdyjLnQ2uiHyex/9Qz9h59qm5jUc6AD/qbU9bUgMfPkrkZksA3XpFExhTdqQOFQZWc++twFCVra2usra1zbNeiRQtiYmL4999/adasGQCnT58mJiaGli1b5jA1rFixgsaNG+Pq6ppj2ytXrpCQkEDFihVzbJtGoSqsy1aKl9apUyfq1KnDkiVLcm78Grh4IyznRsWAoaL4DxNL1oPBSAbox5uXqnAvafbGUGR7OSyRF/qwfxtS/I+TAImq4v/9ij685xgo9ON4rg/rWx8E12mbc6Ni4I8vj+bcqIgl5XT+RDGw+pu8f6FRXHQfe7XIlr3H6+W+uNLlnXfe4cGDB+qfghw3bhxVqlTRuB6fk5MT8+bNo0+fPurHYmNjqVixIp6enkyYMEFjnkFBQaxfv56uXbtibW3N1atX+fjjjzExMeHMmTNZrj+oixxhi6GoqCj279/PoUOHWLp0aVHHEUIIIYQQQgi9olIV/46bvFq/fj2TJ0+mc+fOQMqF9jP/vRgYGJhlNPymTZtQqVQMGjQoyzxLlizJwYMH+emnn3jy5An29vZ069aNmTNn5rpTAaRjoVhq1KgRSqWSBQsW4OioeUGiunXrcvfuXa3T/f777wwZMuRVRBRCCCGEEEII8QpZWlqybt26bNtoOyFh3LhxjBs3Tmt7e3t7Dh8+/NLZpGOhGLpz547O53x9fdU/H5dZbi7aIYQQQgghhBCvO325xsLrQjoW9EyVKlWKOoIQQgghhBBCCKFW/K8AJYQQQgghhBBCiGJLRiwIIYQQQgghhHityKkQr5aMWBBCCCGEEEIIIUS+yYgFIYQQQgghhBCvleTX8OcmizMZsSCEEEIIIYQQQoh8k44FIYQQQgghhBBC5JucCiGEEEIIIYQQ4rUiF298tWTEghBCCCGEEEIIIfJNRiwIIYQQQgghhHitqJLl4o2vkoxYEEIIIYQQQgghRL7JiAUhhBBCCCGEEK8VucbCqyUdC6LYKKFILOoIuaJCUdQRcmRA8R/6laQyLOoIuaIP26U+bJP6Qh9qqRf7N7J/F5REVfH/qJagBxkBjPRgfSso/n8I/fHl0aKOkCv95rQp6gg5Mvj3clFHEKLAyKkQQgghhBBCCCGEyDf96GIWQgghhBBCCCFySaUq/iP8XicyYkEIIYQQQgghhBD5JiMWhBBCCCGEEEK8VpLl4o2vlIxYEEIIIYQQQgghRL5Jx4IQQgghhBBCCCHyTU6FEEIIIYQQQgjxWlEly8UbXyUZsSCEEEIIIYQQQoh8kxELQgghhBBCCCFeKyq5eOMrJSMWhBBCCCGEEEIIkW8yYkEIIYQQQgghxGtFpZJrLLxKMmJBCCGEEEIIIYQQ+SYdC0IIIYQQQgghhMg36VgoYqtWrcLc3DxP0/j5+aFQKIiOji6UTEIIIYQQQgihz1TJqiK7vYnkGgsiR0lJSXz//fesXr2au3fvYmJiQu3atRk/fjwjR458ZTn+3LOTnds3o4yKxN6hKqPHTcTZpb7O9pcv+ePt9SshwXewtLSmd//36NK1p/r54Lu32bjOm6Cb1wkPC2XU2I/o0bt/geT02b4pNWc1RuWQ84o65211TveuvTRyblrnTdDNQMLDQhk59iN69B7w2mcEUKlUbN3gzYG/dvHkyWNq1XZmzAce2Feplu10p477sWndckIfPqBCxUoMGjaOt1q2VT+/Y8taTp88wv17dylZ0hjHOi4MGfEBle0c8pxRH7ZLfVjfBZ0R4OTxw2xcu5JHDx9gW7ESg4ePoXnLNi+VU6VSsWXDKv7et5unTx5Ty9GZMR9MwSGHbfLk8cNsWrtCI0vGbfLK5Qv4/LGRWzevo4yK5JMv5/BWi/xl1a9aenMgtZY1HZ0Z+8HU3O3fGWo5aPhYjVpeveyPzx+buHUzMLWWc2n2ErUs7vu3Phwn03Ju27CSgxlyjvrAA/sq1bOd7vRxPzavW07ow/tUqFiZ94aNpVlLN42c/548zIPUnLXr1GPIiA+olM/juT4cK4v7Npmml1tp3BqXwrSUAbfuJ7DO9zEPwpOyncbEWEG/DqVp5GRMaRMDwpVJbN7/hEs34wFo18SEt5uYYG2e8t3o/bAkdh95qn4+NyxbN6H6x6Mxa+RCqUo2nO33IaG7DmY/TZumOP/4GWWcaxH3IIwgz+UEL9uk0ca2T2dqz/o/TGs48CwomMCvFxHqcyDXubRRqVTs2/YrJw9t4/mTWBxq1qP/qC+paF9T5zQPQ27y59alhNy6ijLiAb2Hf0q7rsM02iQlJbJv26+cO7aXx9ERlLMoT1O3XnTuMx4DA/neWeSPbDkiR7NmzWLx4sV8++23XL16lX/++YexY8eiVCpfWYZjRw6x0usX+g8ciucSL5xd6vPtzE8JDwvV2j700UPmzJyBs0t9PJd40W/gEFb8/jMnjx9Wt4mLi6OCbSWGjRiHhYVlgeX09lpKv4FD8VyynDou9Zgz85Mccn5GHZd6eC5ZTl+dOSsybMQ4zAsgpz5kTOPzxwb27NzM6AlTmb/QC3MLS779airPnz3TOU1gwGUWLZiF29vu/PizN25vu7NowdfcCLyibnPlsj/u3frw3Y+/89W3i0hKSmLOVx68ePE8T/n0YbvUh/VdGBkDA67gOX82bu07s3Dpctzad8Zz/iyuX7v6Ull3btvI7h1bGDNhCgsW/Y65hSXffPlxjtvkwtQsnktXaM0S9+I5VavVZMyEKS+VT79quYE9O7YwesIU5i9allpLj1zVsm17dzyXrqRte3cWzp+pkeXFixdUrVaD0QVQy+K+f0PxP06m2fXHevbu3MzICR58t3A5ZhZWzM0h5/WAyyxeMJM2b7vz/c+raPO2O4sz5Qy4fB73bn2Z8+PvfPHtIpKTkpj71dR8Hc/14VipD9skwDutTOncwoR1vk/41iuKmCfJTBtmTqmSCp3TGBrAtGHmWJkZ8uvWWD5fGsnq3Y+Jfpx+AT5lbBLbDjzhm2VKvlmm5NqdeCa9Z0al8oa5zmZY2pTYi4Fc+b9vctXepKodTXcvI+rYOY417c3NBf+j7qIvsO3TWd3GvHkDGm5YxP31Phxt3Iv7631otHEx5s10d/rkxsFdK/HzXUO/kZ/j8d0myplb89t3Y3nx/KnOaRLin2NlY0ePwVMoZ26tY74rOHFgC/1Gfs5nnrvoMdiDf3Z7c3Tf+pfKW9yokpOL7PYmko6FTHbv3o25uTnJqRuEv78/CoWC6dOnq9uMHz+eQYMGAXDixAnatm2LiYkJ9vb2TJ48madP03f2+Ph4PvnkEypXrkzp0qV566238PPz07n8yMhImjVrRs+ePXnx4gUAvr6+1K5dGxMTE95++23u3LmTZZpBgwZhZ2eHqakp9erVY+PGjern16xZg5WVFXFxcRrT9evXj+HDh+eqJh9++CEDBgygWrVquLq6Mnr0aDw8PNRt9u3bR+vWrTE3N8fKyoru3bsTFBSU47xza9eOrXTo3JVO7t2wd6jC6HETsbK2YZ/vLq3t//LdhXV5G0aPm4i9QxU6uXejfad32Ll9i7pNrdpOjBg9gTZu7SlhZFQgOXerc3bHzqEKo8dNwsrahr98fXLIOQk7hyp0cu9O+07v4LN9s0bO90d/QGu3DhgVQE59yAgpvfR7fbbQd+Bw3mrphkPV6kz0+IK4uDiOHf5b53R7d22lfsMm9Hl3GJXtq9Dn3WG4uDZmr89WdZsvv/Hk7Y5dsa9SjarVa/LhlBlEhIdy62ZgnjLqw3apD+u7MDLu9tmGa8Mm9Ht3CHb2Vej37hDquTZij8+2fOdUqVTs8dlKv4HDaN6qLQ5VqzPJYwZxcXEcPaz7W6k9PttwbdiYvu8Oxc6+Cn3fHUo918bsybBNNmrSPGUUQKu2OueTG/pUy70+W+k7cBjNW7ml1vLz1Fpms3/7pOzffd8dSuUMtdybqZaDho+leSs3nfPJDX3Yv/XhOJmW09dnK30y5PxInXO/zul8d23RmtPXJ72mn3+zkHYdu2JfpTpVq9fig3zm1IdjpT5sk2k6vWXCnqPP+O9aHPfDk1ixM5aSRgreqmesc5o2DUtR2sSApZtjuBmSQGRMMjdCEggJTVS3uXA9nks34wmNSiI0Konth57yIl5FDbvcZw//6wjXZy7m0U7d+0hGVca9x4vgh1z9+DueXLtFyMpthKzaTnWPUeo21Sa9T8SBEwR9v4yngbcI+n4ZEYdOUXXS+7nOlZlKpeLIn2vp1Hscrs06UdG+FkM+/I74uBecO75X53QONerRa+g0GrXsimGJklrb3Ll+AZfGb1O3kRtWNpVp0LwzjvVbEnLritb2QuSGdCxk0rZtWx4/fsz58+cBOHz4MNbW1hw+nN676+fnh5ubG5cuXcLd3Z2+ffty8eJFNm/ezLFjx5g4caK67ciRIzl+/DibNm3i4sWLDBgwgC5dunDjxo0sy7537x5t2rTBycmJ7du3U6pUKUJCQujbty9du3bF39+fMWPG8Nlnn2lM9+LFCxo3bsyePXu4fPky48aNY9iwYZw+fRqAAQMGkJSUxK5d6W88ERER7NmzJ1enMtja2nLo0CHCw8N1tnn69CkeHh6cOXOGgwcPYmBgQJ8+fdQdNC8jISGBoJvXadCwicbjDRo14VrAZa3TBF67SoNGmu0bNmpK0I1AEhMTtU5TMDkDcW3YNFPOplwL0H6gvn7tCg0aZW7frNBy6kPGNGGhD4lWRmlkNTIqibNLA/ByKFIAAK8USURBVAJ1rPeUvJe1vL5m2U7zLLUzsEyZcrnOpw/bpT6s78LKeP3aFRpkmmfDRs10zjM3Qh+lbpMZ1qGRUUnqurjmsE1e0fr6Al8iizb6VMswdS0z7995r6VrDvt3fujD/g3F/ziZnvMB0cpI6jdsliXn9RxyZpwGwLXRW9lOk//juT4cK4v/NglQ3twA87KGXAlKPz0hMQkC7yRQM5sOgAaOxgTdS2Bo17Is+tiabz6wpFtrUxQ6BjkoFNCsrjHGRgqCQhIK+mWomTdvQPiB4xqPhe8/illjFxQlUs4qt2jegIgDxzTaRPx9FIsWDfO93Miwe8RGR+BUv6X6sRJGJalZpwl3rvvne74A1Z0acf3yacIe3AHg/t1r3Ar8jzoNX65zW7zZ5BoLmZiZmdGgQQP8/Pxo3Lgxfn5+TJ06ldmzZ/P48WOePn3K9evXadeuHd999x2DBw9mypQpANSqVYslS5bg5ubGb7/9xv3799m4cSP37t2jUqVKAEybNo19+/bh7e3Nd999p17u9evX6dSpE7169eKnn35CkXoU/e2336hevTqLFi1CoVDg6OjIpUuXWLBggXraypUrM23aNPX9SZMmsW/fPrZu3cpbb72FiYkJgwcPxtvbmwEDUs7tW79+PXZ2drRr1y7HmixcuJD+/ftja2tL3bp1admyJb169eKdd95Rt+nXr5/GNCtWrMDGxoarV6/i4uKSt5WQyePYGJKTkzE3t9B43Nzcgmgdp2MolVE01NI+KSmJ2NgYLC2tXipTXnKamVsQrYzSmbPBK8ypDxnTRCsjU7NpDs00M7cgIuxRNtNFaZnGUufrU6lUrF6+FCfn+jhUzf5c34z0YbvUh/VdWBmjlVGYWWSap4XueeZG2rTmWrbJ8HDtQ5HTpjPPlMX8JbNoo0+1VKbu35lraW5uSXh49vt3UdayOO3fUPyPkxmXpyunrmH86Tlzvz2rVCrWLP+5wI7n+nCsLG7bJEC5MinfW8Y+0fxyKfZpMlZmur/TLG9hSJ1qhpy69ILFG6KpYGnI0K5lMTCA3UfST5mpbGPIF6MtMCqhIC5exdLNMTyIyP7aDS/DuII1caERGo/Fh0ViYGRESWsL4h6FY2xrTVxopEabuNBIjG3L53u5j6NTllnWTHM9lTWzIiriQb7nC9Ch52ieP3vMvI97oDAwRJWcRNeBk2ncqutLzbe4Obb75UauibyRjgUt2rVrh5+fHx4eHhw9epQ5c+bwxx9/cOzYMaKjo6lQoQJOTk6cO3eOmzdvsn59+vlIKpWK5ORkbt++zeXLl1GpVNSuXVtj/nFxcVhZpR8knj9/TuvWrRk0aBA//fSTRtuAgACaN2+u7mgAaNGihUabpKQk5s+fz+bNm7l//z5xcXHExcVRunRpdZuxY8fStGlT7t+/T+XKlfH29mbEiBEa89XF2dmZy5cvc+7cOY4dO8aRI0fo0aMHI0aMYPny5QAEBQXx1VdfcerUKSIiItQjFYKDg7V2LKRlzCg+Lo6SxrqHyGXuslapsjyUqXmm9qRcoVVBzq/5ZWSpqUqVz5yFpzhmPPrPfn7/5Uf1/RkzF6QuO1PDnFY8ul6f9mlW/G8RwXeC+Pb7X/KcWVvA4rhdFsf1ndMyCyJj5pqqcphnZkf++Zvfl3qq738+a772rKhysf60bSeFU9HiWcv9LMtQyxmztO/fqlzUUnuWQto6i9n+rS/HyaP/7Mfrlx/U9z+b+b3WnLmImbWm2ew7K/+3kOA7Qcz+/tdc5cxpWcXxWFnctkmA5vWMGd69rPr+4g0xqcvKHEbLYxmfVqR0Pqza/RiVCu4+TMS8rAFdWppqdCw8ikhi1v+UmJZS0NjZmDG9y7FglbJQOxdQZUqeVteMj2trk/mxbJw9toctXrPV98d9+qvmstIWw8sf886f/JNzR/cwbNICbO1qcv/ONXasWYCZhQ3N3HrlPAMhtJCOBS3atWvHihUruHDhAgYGBjg7O+Pm5sbhw4dRKpW4uaX0fiUnJzN+/HgmT56cZR4ODg5cvHgRQ0NDzp07h6Gh5kVlypQpo/6/sbExHTt2ZO/evUyfPh07Ozv1c6pcHJA8PT1ZtGgRixcvpl69epQuXZopU6YQH58+BK1hw4a4urqyZs0a3N3duXTpErt37851TQwMDGjatClNmzZl6tSprFu3jmHDhvHFF19QrVo1evTogb29PV5eXlSqVInk5GRcXFw0MmQ0b948Zs+erfHYh5M8+Gjyx1nali1nhoGBQZZvDWJilFm+yUhjYWGJMnP76GgMDQ0pWy7vwzhzIy1nluXGRGf5liZjziyvS53T7I3K2OSt1tR0dFbfT0xIGdYYrYzCwjL94kMxMdFZvuXMyNzCUv0tXvo02reVFf9bxNnTx5k9/2esrG3ylFcftsvivL4LO6O5ljax0brnqU3Tt1pRy7GO+n5C6japVEZikeGbvpjo6CzfomekLUtMtO7tJL+Kdy1bU0vL/q3MvH9HK7OMjsjIXMc+VFi1LG77t74cJ5tkWt8JCfFac8bGKLPdjrRuezpyrvzfIs6dPs6s+UvzfTzXh2NlcdsmAfwD47l1L33UROrZAZiVMSAmw6iFcqYGWUYxaGR7nExSsubf4g8jkjAva4ihASSlTpqUDGHKlE6EOw8TqVbJiI7NTVmz53GBvaaM4kIjsow8KFnekuSEBOIjo1PaPIrA2FbzQonGNpZZRjpkx6Xx21SpmX6xx8TU/eZxdARmFunLfxITlWUUQ17tWudJh15jaNQyZYRCJYfaKCMecsBnuXQsiHyTayxokXadhcWLF+Pm5oZCocDNzQ0/Pz/19RUAGjVqxJUrV6hZs2aWW8mSJWnYsCFJSUmEhYVled7W1la9PAMDA9auXUvjxo1p3749Dx6kD29ydnbm1KlTGvky3z969Ci9evVi6NChuLq6Ur16da3XcBgzZgze3t6sXLmSjh07Ym9vn+8aOTunfGB4+vQpkZGRBAQE8OWXX9KhQwfq1KmT4y9GzJgxg5iYGI3b2PETtbY1MjKiRs3aXDh/VuPxC+fP4VRH+2kWjk7OXDh/TuMx//NnqVHLkRIlCqc/LSWno5acZ3GqU1frNLWd6mppf6bQchbnjCamplSsZKe+2TlUxdzCkovnz6jbJCQkcPWyP4461ntKXhcuasmbcRqVSsXy3xZx+sQRZs5dTAXbSnnOqw/bZXFe34WdsbZTXS74a7bxP39G5zy1ybxN2qu3yfT5JiQkcOXyhRy2yaxZUrbJ3GfJDX2qpZ2OWl7NRS0v+p/ReCzz/l0Qiuv+rS/HSRNTU2wr2alvdg7VMLew0siZmJqzdo45Ndf3xfP/akyjUqlY+dtC/j1xmK/m/oRNvo/n+nCsLH7bJMCLeBVhyiT17UF4EtGPk3Cunn7hQEMDcKxqxM17uq+FcCMkARtLQ42xFBWsDIl+nKTuVNClRO5/FCLPok/5Y92hpcZj5Tu1JubcZVSp16pQnvLHukMrjTbWHVujPHk+18spZVKa8rYO6putXQ3KmVsTeOmkuk1iYgI3A85StXaD/L8gID7+RZZRDwoDgzf21wxEwZCOBS3SrrOwbt069TUI2rZty3///ae+vgLAp59+ysmTJ/noo4/w9/fnxo0b7Nq1i0mTJgFQu3ZthgwZwvDhw9m+fTu3b9/mzJkzLFiwAF9fX41lGhoasn79elxdXWnfvj2PHqWcGzlhwgSCgoLw8PAgMDCQDRs2sGrVKo1pa9asyd9//82JEycICAhg/Pjx6ukzGjJkCPfv38fLy4tRo0ZleV6X/v37s2jRIk6fPs3du3fx8/Pjo48+onbt2jg5OWFhYYGVlRXLli3j5s2bHDp0SOMXI7QxNjamXLlyGrfsToPo2WcAB/b7cmC/LyHBd1m57BciwkNx79oDgLWrvPjJM/2aFe5dexIeFspKr18ICb7Lgf2+HNzvS+++76rbJCQkcDvoJreDbpKYmEhkZAS3g27y8MH9XNcmsx59BnBw/14O7vflXvBdVi5bSkR4KJ1TfzN63aplWnN6e/3CveC7HEzN2avvwEw5b3A76AaJiYlERUZwO+gGDx/ce20zQsrwzW693mX71nWcPnGE4Du3+GXxdxgbG9ParZO63c+ec1i/6n/q+9169ufC+TPs3Lae+yF32bltPZf8z9KtV/pvhy//bSFH/fbzf9O/ppSpKUplJEplZJbTc3KiD9ulPqzvwsjYvWc//P87w/atG7gXcpftWzdw0f8c3Xvl//fZFQoF3XsN4I8t69Xb5NJF8zA2NqaNW0d1uyWec1m3apn6free/bnw31l2pGbZoc6Svk0+f/5MXVNIubjh7aAb2Z5/ro0+1bJbrwFs35Jh/1bXMn3/XuI5l/Wrflff76quZcr+vWNr1v07cy1D81lLfdi/9eE4mZaza68B7Ny6ln9PHCb4zi1+XTw3NWf6T/Yt9fyWDRlyvtNzABfPn8Fn2zruh9zFZ9s6LvmfpWuv9Jqu+M2To377mTx9JiampkQrI4lWRhKfx5z6cKzUh20yzd+nn9O9jSmNnEpSubwho3uXIz5BxelL6etlTO+y9OuQftruP2efU8ZEwaB3ylDB0pD6tUrSrXVpDp1J/+nQvu1LU8vBCCszAyrbGNK3fWmcqhpx6tKLXGczLG1KOVcnyrk6AWBazY5yrk6Usq8IgOMcD1y9069ldnfZJkyqVKLOD59Rxqk6diP6YT+yH7cWrlS3ubN0DdadWlF92lhKO1an+rSxWHdowZ2fV+e9eKkUCgVt3xnG3zu9uPjvAR6G3GDDr19Q0rgUjVt1U7db98sMdm9cpL6fmJjAvTvXuHfnGklJCcREhXLvzjXCHwWr29Rt1I6/d3px5b/DRIbd5+K/B/Dbu4Z6TTvkO68QClVuxtq/gaZNm4anpyeXL1+mbt2U3uoGDRrw4MEDQkND1b18Z86c4YsvvuDkyZOoVCpq1KjBwIED+fzzz4GUA/acOXNYs2YN9+/fx8rKihYtWjB79mzq1avHqlWrmDJlCtHR0QAkJiYycOBAAgIC8PPzw8bGhj179jB16lRCQkJo1qwZI0eOZNSoUSiVSszNzYmKimLUqFEcPHgQU1NTxo0bR3BwMDExMezcuVPjdQ0fPpy9e/fy4MEDjLO7nkEGXl5ebNy4kcuXLxMTE4OtrS3t27dn1qxZVKlSBYADBw4wefJkbt26haOjI0uWLKFdu3bs2LGD3r1752o5V29mfyGaP/fsZMcfm1BGReFQpSqjxn1EXRdXAJYsnE9Y2CPmzF+sbn/5kj/eXr8SfPcOllZW9Ok/iC6pHxAAwkIfMX7UoCzLqVvPVWM+malyOC/xzz072fnHxtSc1RiZIefPC+cRFvaIb+enX0vjyiX/lDf9DDndu6YPQwsLfcgEHTkzzicvikPGJFXOXy+oVCq2bvDm730+PH3yhJqOdRgzwUPjolwzP5tE+Qq2TJz6hfqxk8f+YdO65YQ+eoCtbWUGDR/LWy3TL+AzoHsbrcv7cMoM3u6oeeGiEorsr5xdHLZL2SazZgQ4ccyPjWtXEProIRVsKzEkFz/nmFMtVSoVWzasYv+fu3j65Am1HOsw9oMpGtvk15/9H+VtbJnkMUP92MljfmxYu4KwRw+oYFuJwcPHamS5fPE8M2dMybK8dh26aMwHQJHtWcrFo5bJufjeIqWW3vydoZZjPpiaqZaTsbGxZaLH5+rHTh7zY+Pa5epaZv5pycsXzzNrxv9lWV67Dl005gNgSPbnZBeH/TtRlf03y8XhOJmci/P1VSoV2zas5MC+XTx98piajs6MypRz9mcTKV+hIh9myHnq2D9sXudF6KMHVLCtzHvDx2nkHNi9tdblfTDlc9plymmUi+N5UR8rc7N/F/U2+eP63I126OVWGrfGKT8heeteAut8H3M/PH2f++R9cyKik1jpk34KQw27ErznXhYH2xIoY5M5ev45vsefqU+PGNmzLHWqlcSsjAHP41TcC03E9/hTrt7KOhKi3xzt27Bl22a0OLg2y+Mha7ZzcfQM6q+Yh2mVypzqmP6T7JZtmuLsOYMyzrWIexBG0I9eBC/bpDG9bV93HGdPwbS6Hc+CQgj8elGOP2lp8G/2v2ijUqnYt+1XTh7cyrOnsVSpWZ/+o76gon0tdZufZ4/Asnxlhnw4F4DIsPt8O9k9y7xq1GnCpJmrAHjx/Cm+W37m0pmDPImJopxFeRq16op7vw8oUULzlzveaVhwP0MqXm/SsfCG6dSpE3Xq1GHJkiVFHSWLnDoWiouc/vAQuZObjoXiIKeOheJAtsmCow+1zOkPj+IgNx0LxUFOHQvFQU4dC8VBbjoWioOcOhaKA33Yv3PbsVDUdHUsFCc5dSwUB9KxIHJLP44M4qVFRUWxf/9+Dh06xNKlS4s6jhBCCCGEEEKI14R0LLwhGjVqhFKpZMGCBTg6Omo8V7duXe7evat1ut9//50hQ4a8iohCCCGEEEIIIfSQdCy8Ie7cuaPzOV9fX/XPqGVWoUKFQkokhBBCCCGEEOJ1IB0LQn0BRiGEEEIIIYQQIq/04+pKQgghhBBCCCGEKJakY0EIIYQQQgghhBD5Jh0LQgghhBBCCCGEyDfpWBBCCCGEEEIIIUS+SceCEEIIIYQQQggh8k06FoQQQgghhBBCCJFv0rEghBBCCCGEEEKIfJOOBSGEEEIIIYQQQuSbdCwIIYQQQgghhBAi36RjQQghhBBCCCGEEPkmHQtCCCGEEEIIIYTItxJFHUCINCoURR0hV5L1oD/OgOSijpCjEorEoo6QK0kYFnWEHClQFXWEHOnL/q0P+44oOPqwXRoqkoo6Qo4M9KCOoB/rWx8yJiXpx3HS4N/LRR0hR8nNXIo6Qs4SAos6gdATxf8vJCGEEEIIIYQQQhRb0rEghBBCCCGEEEKIfJOOBSGEEEIIIYQQQuSbdCwIIYQQQgghhBAi36RjQQghhBBCCCGEEPkmHQtCCCGEEEIIIYTIN+lYEEIIIYQQQgghRL5Jx4IQQgghhBBCCCHyTToWhBBCCCGEEEIIkW/SsSCEEEIIIYQQQoh8k44FIYQQQgghhBBC5Jt0LAghhBBCCCGEECLfpGNBCCGEEEIIIYQQ+SYdC0IIIYQQQgghhMg36VgoYqtWrcLc3DxP0/j5+aFQKIiOji6UTEIIIYQQQgghRG6VKOoAovhLSkri+++/Z/Xq1dy9excTExNq167N+PHjGTly5CvL8eeenfhs34QyKhJ7h2qMGjcRZ5f6OttfueSPt9evhATfxtLSmt7938O9ay/188F3b7NpnTdBNwMJDwtl5NiP6NF7wEvnVKlUbNngzYF9u3n65DE1HZ0Z+8FU7KtUy3a6U8f92LR2BY8ePsC2YiUGDR/LWy3bqp+/etkfnz82cetmIMqoSD75ci7NWrTJV0Z9qOWfe3ayc/vm1IxVGZ1DxsvqjHfUGbt07amRceM6b4JuXic8LJRRYz+iR+/+L5UR9GN979uzI3V9R2HvUJWR4ybi7OKqs/2VS/6s8vqFkOA7WFha0bv/II31DXDy+GGN/IOHj9HInx/6UMuC3ncgpZYb167UqGXzlvnLVxgZ5VhZvGupDxkhbX2v4u/U9V3L0ZkxH0zBIYf1nZtjTV6Pcbrow7FSH+qYpvfbZWjX2ITSJgYE3Utg7Z5Y7ocnZjuNaSkF/TqUoYlzKUxLGRARncTGfbFcvBGvnmeft8toTBP9OIn/+yE8z/lUKhX7tv3KyUPbeP4kFoea9eg/6ksq2tfUOc3DkJv8uXUpIbeuoox4QO/hn9Ku6zCNNklJiezb9ivnju3lcXQE5SzK09StF537jMfAIPff6Vq2bkL1j0dj1siFUpVsONvvQ0J3Hcx+mjZNcf7xM8o41yLuQRhBnssJXrZJo41tn87UnvV/mNZw4FlQMIFfLyLU50Cucwmhi4xYEDmaNWsWixcv5ttvv+Xq1av8888/jB07FqVS+coyHDtyCG+vpfQbOBTPJcup41KPOTM/ITwsVGv70EcPmTPzM+q41MNzyXL6DhzCit9/5uTxw+o2cXFxVLCtyLAR4zC3sCywrDu3bWDPji2MnjCF+YuWYW5hyTdfevD82TOd0wQGXGbh/Nm0be+O59KVtG3vzsL5M7l+7aq6zYsXL6harQajJ0x5qXz6UMtjRw6x0usX+g8ciucSL5xd6vPtzE9zyDgDZ5f6eC7xop/OjJUYNmIcFm/Q+j6uXt/D+HGJF3Vc6jM3h1rOnfkpdVzq8+MSL/oNHMrK35do1DItv1v7znguXZHy7/xZGvnzo7jXsjD2ncCAK3im1nLh0uUvXUt92L/TvInruzCOlcU9Y5qd2zaye8cWxkyYwoJFv6eu749ztb6zO9bk9Rini74cK4t7HdN0bV2aLi1MWbs3llm/RxLzJInp71tQqqRC5zSGhjD9fUusLQxZujmaz5aEs9InBmVsska7e6EJTP4+TH378peIfGU8uGslfr5r6Dfyczy+20Q5c2t++24sL54/1TlNQvxzrGzs6DF4CuXMrXXMdwUnDmyh38jP+cxzFz0Ge/DPbm+O7lufp3yGpU2JvRjIlf/7JlftTara0XT3MqKOneNY097cXPA/6i76Ats+ndVtzJs3oOGGRdxf78PRxr24v96HRhsXY95Md2ekELklHQuZ7N69G3Nzc5KTUw5i/v7+KBQKpk+frm4zfvx4Bg0aBMCJEydo27YtJiYm2NvbM3nyZJ4+TT8gxcfH88knn1C5cmVKly7NW2+9hZ+fn87lR0ZG0qxZM3r27MmLFy8A8PX1pXbt2piYmPD2229z586dLNMMGjQIOzs7TE1NqVevHhs3blQ/v2bNGqysrIiLi9OYrl+/fgwfPjxXNfnwww8ZMGAA1apVw9XVldGjR+Ph4aFuExcXx+TJk7GxsaFUqVK0bt2aM2fO5Djv3Nq9YysdOnelk3t37ByqMHrcJKysbfjL10dr+798d2Fd3obR4yZh51CFTu7dad/pHXy2b1a3qVXbifdHf0Brtw4YGRkVSE6VSsVen630HTiM5q3ccKhanUkenxMXF8fRw3/rnG6vz1bqN2xC33eHUtm+Cn3fHUo918bs9dmqbtOoSXMGDR9L81ZuL5VRH2q5S52xG/YOVRg9biJW1jbs892VQ8aJ2DtUoZN7N9p3eoed27doZBwxegJt3NpT4o1a31to37krHd27Y+dQlVHjJmFlXV7n+t7v64N1eRtGjZuEnUNVOrp3p32nruzanv6Nxx6fbbg2bEzfd4dilyH/ngz580o/alnw+85un224NmxCv3eHYGdfhX7vDqGeayP2+GwrNhnlWFl8a6kPGSFlfe/x2Uq/gcNo3qpt6vqekbq+dX9TmptjTV6Pcbrow7FSH+qYxr2FKbuOPOVcQBz3wxLx2h5DSSMFzeuX0jlN24YmlDFRsGRDNDeCE4iMSeZGcAIhoZqjHJKSIeZJsvr2+Jkqz/lUKhVH/lxLp97jcG3WiYr2tRjy4XfEx73g3PG9OqdzqFGPXkOn0ahlVwxLlNTa5s71C7g0fpu6jdywsqlMg+adcazfkpBbV/KUMfyvI1yfuZhHO3UfEzOqMu49XgQ/5OrH3/Hk2i1CVm4jZNV2qnuMUrepNul9Ig6cIOj7ZTwNvEXQ98uIOHSKqpPez1M2IbSRjoVM2rZty+PHjzl//jwAhw8fxtramsOH03ug/fz8cHNz49KlS7i7u9O3b18uXrzI5s2bOXbsGBMnTlS3HTlyJMePH2fTpk1cvHiRAQMG0KVLF27cuJFl2ffu3aNNmzY4OTmxfft2SpUqRUhICH379qVr1674+/szZswYPvvsM43pXrx4QePGjdmzZw+XL19m3LhxDBs2jNOnTwMwYMAAkpKS2LUr/Y+yiIgI9uzZk6tTGWxtbTl06BDh4bqHmX3yySf88ccfrF69mv/++4+aNWvi7u5OVFRUjvPPSUJCAkE3A3Ft2FTj8QaNmnItQPtB+vq1KzRolLl9M4JuBJKYmP0wvJcR9ugh0cooXDMs28ioJM4urgQGXNY53fVrV7K8PtdGzbKdJj/0oZYpGa/ToGGTTMtswjUd9Qi8dpUGjTTbN2zUVNa3upaZl9VU57ICr13ReD2Qsn1krKW2/A0aNSVQxzaUG/pRy4Lfd65fu5Jl/TRs1EznPIsiY2F4U9f3m5YxTah6facfp42MSlI3H+s747EmP8c4bfTlWFnc65imvIUh5mUNuXwz/QutxCQIvBNPLXvtf4wDNHQqxc2QBIZ3L8eST8oz9yMrurctjSLTIAdbK0MWTyvPj1Ot+WCAGeUtDPOcMTLsHrHRETjVb6l+rIRRSWrWacKd6/55nl9G1Z0acf3yacIe3AHg/t1r3Ar8jzoNX+50wZyYN29A+IHjGo+F7z+KWWMXFCVSzn63aN6AiAPHNNpE/H0UixYNCzWbeDNIx0ImZmZmNGjQQD2qwM/Pj6lTp3LhwgUeP37Mo0ePuH79Ou3ateOHH35g8ODBTJkyhVq1atGyZUuWLFnCmjVrePHiBUFBQWzcuJGtW7fSpk0batSowbRp02jdujXe3t4ay71+/TqtWrWiY8eOrF69mhKpB4DffvuN6tWrs2jRIhwdHRkyZAgjRozQmLZy5cpMmzaNBg0aUL16dSZNmoS7uztbt6b0RJuYmDB48GCNZa5fvx47OzvatWuXY00WLlxIeHg4tra21K9fnwkTJvDnn3+qn3/69Cm//fYbP/zwA++88w7Ozs54eXlhYmLCihUrtM4zLi6O2NhYjVt8phEVaR7HxpCcnIy5uYXmujK3IFqpveNCqYzCLFN7c3MLkpKSiI2NyfE155dSGZm6LM3ho+bmljqzAkQrozC3yJTXQvfryy99qKWujObmFkTrOP1GqYzS2l7WdwzJyUmYZcmne1nRWmppZm5JUlISj1NrWRj59aOWBb/vRCujMMuU3yyf+fVh/05f7pu5vt+0jGnS8mRe32bmFihfYn3n5xinjb4cK4t7HdV5yqT8eRH7VPMUhtinyZiV1f2nR3kLQ5o4l0KhgIVrlew6/JR3Wpamp1tpdZtb9+JZtj2GH9coWekTi1kZQ74cY0lpE92nWGjzODrl9ImyZlYaj5c1syI2On+nVqTp0HM0jVq9w7yPe+AxpAE/fjYAt3eG0bhV15eab06MK1gTF6qZPT4sEgMjI0pap6x/Y1tr4kIjNdrEhUZibFu+ULOJN4NcvFGLdu3a4efnh4eHB0ePHmXOnDn88ccfHDt2jOjoaCpUqICTkxPnzp3j5s2brF+ffs6USqUiOTmZ27dvc/nyZVQqFbVr19aYf1xcHFZW6Qey58+f07p1awYNGsRPP/2k0TYgIIDmzZujyNBd26JFC402SUlJzJ8/n82bN3P//n3i4uKIi4ujdOn0A/HYsWNp2rQp9+/fp3Llynh7ezNixAiN+eri7OzM5cuXOXfuHMeOHePIkSP06NGDESNGsHz5coKCgkhISKBVq1bqaYyMjGjWrBkBAQFa5zlv3jxmz56t8dgHkzz4aPI0nTmyZFWpsvRiZ9deRcpQuby99WTvyD/7WbbUU31/xqwFqcvWbKdChSKHJWd+XqVS5Wr95EdxrKWWhWouU5W1rprNdWUsuJT6u74176tUWh7UaJ/5OW3DTLWtn9zn199aFvy+oz1/8cr4smR9F57imPHIP3/ze4b1/fms+VqXTS7Wd26ONXk9xulcUjE7VupLHVvUL8WIHuXU9xeuV6ZPnzlpNmctGCjg8dNkvHfFolLBnYeJmJczoGur0vj4pZxmnHYRRwDC4GaIkh+mWNO6oQl/ndB9nYmzx/awxSv9c+e4T39N+Y+W/eFljyfnT/7JuaN7GDZpAbZ2Nbl/5xo71izAzMKGZm69cp7By8hc4LTXkvFxbW2yWzFC5JJ0LGjRrl07VqxYwYULFzAwMMDZ2Rk3NzcOHz6MUqnEzS3lvM3k5GTGjx/P5MmTs8zDwcGBixcvYmhoyLlz5zA01BymVaZM+hVtjY2N6dixI3v37mX69OnY2dmpn1PlYkf39PRk0aJFLF68mHr16lG6dGmmTJlCfHz6wbdhw4a4urqyZs0a3N3duXTpErt37851TQwMDGjatClNmzZl6tSprFu3jmHDhvHFF1+oM2b5sJLNh70ZM2ZoXKMBIChEe6942XJmGBgYZOmNj4mJztK7nsbCIuu3XjHR0RgaGlK2nJnuF5pHTd9qTS1HZ/X9xIQEIOVbIQvL9Iv6xEQrs3wrmZG5hWXW1xcdneWbpZdVnGuZOWOWZcYoddbDQkf9UjKW0zpNfujn+jbUWsvM37Rln02psb7NtW4TutePNvpZy4Lfd7TVMjZa9zyLImNBkPVdeMfK4pix6VutqOVYR30/Qb2+I7GwTP9iJSY6Oss36RnldKzJzzFOm+J6rNSXOp6/FkfQvfRvwY0MUz77mZUxIOZJ+qiFcqUNiM1wP7PoJ8kkJak0/sZ9GJ6IeVlDDA0hKSnrNPEJKu6FJWJrmf2fNC6N36ZKzfQLFCYmpHxGfhwdgZlF+rf1T2KisoxiyKtd6zzp0GsMjVqmjFCo5FAbZcRDDvgsL9SOhbjQiCwjD0qWtyQ5IYH4yOiUNo8iMLbVvOiksY1llpEOQuSHnAqhRdp1FhYvXoybmxsKhQI3Nzf8/PzU11cAaNSoEVeuXKFmzZpZbiVLlqRhw4YkJSURFhaW5XlbW1v18gwMDFi7di2NGzemffv2PHjwQP2cs7Mzp06d0siX+f7Ro0fp1asXQ4cOxdXVlerVq2u9hsOYMWPw9vZm5cqVdOzYEXt7+3zXyNk55QPi06dP1a/32LH0c7YSEhI4e/YsderU0Tq9sbEx5cqV07iVNDbW2tbIyIgaNR25cP6sxuMXzp/FqU5drdPUdqqrpf0ZatRyVJ9mUhBMTE2pWMlOfbNzqIq5hSUXMyw7ISGBq5cv4FjHRed8ajvV5aK/5sUuL5w/k+00+VGca6mZsbaWZZ7DSUc9HJ2cuXD+nMZj/ufPyvrWUcuL58/qXJajU12N1wPgn2l913aqywX/rNuEo45tSBv9rGXB7zvaaul//ozOeRZFxoIg67uwjpXFM2Pm9W2vY31fycX6zu5Yk59jnDbF9VipL3V8Ea8iLCpJfbsfnkj04yRcaqZ/rjM0BMeqJbkREq9zPjeC47GxLKExiKCCVQmUsUlaOxUAShhCJesSRD/R0SBVKZPSlLd1UN9s7WpQztyawEsn1W0SExO4GXCWqrUb5PiasxMf/yLraBADA1TJujtVCkL0KX+sO7TUeKx8p9bEnLuMKvW6H8pT/lh3aKXRxrpja5QnzxdqNvFmkI4FLdKus7Bu3Tr1NQjatm3Lf//9p76+AsCnn37KyZMn+eijj/D39+fGjRvs2rWLSZMmAVC7dm2GDBnC8OHD2b59O7dv3+bMmTMsWLAAX19fjWUaGhqyfv16XF1dad++PY8ePQJgwoQJBAUF4eHhQWBgIBs2bGDVqlUa09asWZO///6bEydOEBAQwPjx49XTZzRkyBDu37+Pl5cXo0aNyvK8Lv3792fRokWcPn2au3fv4ufnx0cffUTt2rVxcnKidOnSfPDBB0yfPp19+/Zx9epVxo4dy7Nnzxg9enSul5OdHn0GcHD/Xg7u9+Ve8F1WLltKRHgonbv2BGDdqmX85Pmdur17156Eh4Xi7fUL94LvcnC/Lwf3+9Kr70B1m4SEBG4H3eB20A0SExOJiozgdtANHj64l++cCoWCbr0GsH3LOk6fOELwnVv8smgexsbGtHHrpG63xHMu61f9rr7ftWd/Lvx3lh1b13M/5C47tq7nkv9ZuvVK/+3w58+fqfNCykWcbgfdyPNPQelDLXv2GcCB/b4c2O9LSPBdVi77hYjwUNy79gBg7SovrRlXev1CSPBdDqRm7N333UwZb3I76CaJiYlERkZwO+gmDx/cz1dG0Jf1/W7q+t7LveA7eC9bSkR4mMb6XuI5V92+c9deqet7KfeC73Bw/14O7felZ9/31G26qfNv4F7IXXZs3cBF/3N0z5A/r/SjlgW/73Tv2Q///86wPbWW29W17J+3AhZiRjlWFt9a6kNGSFnf3XsN4I8t69Xre6l6fXdUt1viOZd1q5ap7+fmWJPTMS639OFYqQ91TPPXyWd0b1OaxnWMqWxTgrF9zIhPUHHq4gt1m3F9zRjQMX0E76F/n1HGVMGQd8pSwcoQ19rG9GhbmoP/pp/i8J57WRyrGmFtbkh1OyMmvmeOibGCY+ef5ymfQqGg7TvD+HunFxf/PcDDkBts+PULShqXonGrbup2636Zwe6Ni9T3ExMTuHfnGvfuXCMpKYGYqFDu3blG+KNgdZu6jdrx904vrvx3mMiw+1z89wB+e9dQr2mHPGU0LG1KOVcnyrk6AWBazY5yrk6Usq8IgOMcD1y9F6jb3122CZMqlajzw2eUcaqO3Yh+2I/sx62FK9Vt7ixdg3WnVlSfNpbSjtWpPm0s1h1acOfn1XnKJoQ2ClVuxtq/gaZNm4anpyeXL1+mbt2UHt0GDRrw4MEDQkND1T2RZ86c4YsvvuDkyZOoVCpq1KjBwIED+fzzz4GUN+g5c+awZs0a7t+/j5WVFS1atGD27NnUq1ePVatWMWXKFKKjowFITExk4MCBBAQE4Ofnh42NDXv27GHq1KmEhITQrFkzRo4cyahRo1AqlZibmxMVFcWoUaM4ePAgpqamjBs3juDgYGJiYti5c6fG6xo+fDh79+7lwYMHGOsYIZCZl5cXGzdu5PLly8TExGBra0v79u2ZNWsWVapUAVJ+meKTTz5h48aNPH78mCZNmrBo0SKaNm2aw9zTXbn5MNvn/9yzk51/bEQZFYVDlWqMHPcRdV1cAfh54TzCwh7x7fz0a1RcueSf8ofm3TtYWlnRp/8g3LumD0ELC33IhFGDsiynbj1XjflklpxDf5xKpWLLBm/+/nMXT588oZZjHcZ8MBWHqtXVbb7+bDI2NrZM9Phc/djJY35sXLucsEcPqGBbKcvPpV2+eJ5ZM/4vy/LadeiiMR8AA7LvFS8OtVRoPRdVM+OOPzalZqzKqAwZlyycT1jYI+bMX6xuf/mSP95evxKcIWOXDB+IwkIfMV5HxozzySyJ7K82XRzWd0613LdnBzv/2IQyKhKHKtUYMW6ixvoOD3vEN5nWt7fXUvX67t1/sMb6Tsu/Ye0Kdf7Bw8fSvJXuK16rcnEGd3Go5avedwBOHPNj49oVhD56SAXbSgwZPibbWuakOOzfOR0n4c1c3/l93ynuGXO/f69if4b1PfaDKZnW9/9R3saWSR4z1I/l5liT3TEuL4rDsTInxaGOP6zJXdbeb5fh7SYmmJYy4Nb9BNbsieV+WPqvj3w20pKI6CSW74hRP1bD3ojBXcriYGtE9OMkDv/3nL1Hn6pPj/hggBmOVUpS1tSAx8+SuRmSwPZDj3kQnnXEwnt9sj+lQaVSsW/br5w8uJVnT2OpUrM+/Ud9QUX7Wuo2P88egWX5ygz5MKVTKTLsPt9Ods8yrxp1mjBp5ioAXjx/iu+Wn7l05iBPYqIoZ1GeRq264t7vA0qU0PwJ1+RmukeEWLZtRouDa7M8HrJmOxdHz6D+inmYVqnMqY7pPx1v2aYpzp4zKONci7gHYQT96EXwsk0a09v2dcdx9hRMq9vxLCiEwK8XZfuTlt0SAnU+J0RG0rHwhunUqRN16tRhyZIlRR0li5w6FoqL3HxgLmo5fVguDnL6Y7i4yKljoTjQh1rm5g+P4kAf9h19oA/HSZD1XVD0Zf8WBSO3HQtFLaeOheIgu46F4kI6FkRuycUb3xBRUVHs37+fQ4cOsXTp0qKOI4QQQgghhBDiNSEdC2+IRo0aoVQqWbBgAY6OjhrP1a1bl7t372qd7vfff2fIkCGvIqIQQgghhBBCCD0kHQtviDt37uh8ztfXV/0TRplVqFChkBIJIYQQQgghhHgdSMeCUF+AUQghhBBCCCGEyCv9uLqSEEIIIYQQQgghiiXpWBBCCCGEEEIIIUS+SceCEEIIIYQQQggh8k06FoQQQgghhBBCCJFv0rEghBBCCCGEEEKIfJOOBSGEEEIIIYQQQuSbdCwIIYQQQgghhBAi36RjQQghhBBCCCGEEPkmHQtCCCGEEEIIIYTIN+lYEEIIIYQQQgghRL5Jx4IQQgghhBBCCCHyTyXEa+rFixeqmTNnql68eFHUUXTSh4wqlX7klIwFRx9ySsaCow85JWPB0YeckrHg6ENOyVhw9CWneD0pVCqVqqg7N4QoDLGxsZiZmRETE0O5cuWKOo5W+pAR9COnZCw4+pBTMhYcfcgpGQuOPuSUjAVHH3JKxoKjLznF60lOhRBCCCGEEEIIIUS+SceCEEIIIYQQQggh8k06FoQQQgghhBBCCJFv0rEgXlvGxsbMnDkTY2Pjoo6ikz5kBP3IKRkLjj7klIwFRx9ySsaCow85JWPB0YeckrHg6EtO8XqSizcKIYQQQgghhBAi32TEghBCCCGEEEIIIfJNOhaEEEIIIYQQQgiRb9KxIIQQQgghhBBCiHyTjgUhhBBCCCGEEELkm3QsCCGEEEIIIYQQIt+kY0EIoVN8fDyBgYEkJiYWdRRRiI4cOaJ1HScmJnLkyJEiSCSEEOJ1lZCQwMiRI7l161ZRRxFCFCD5uUmh93bt2pXrtj179izEJLkXEhKCQqHAzs4OgH///ZcNGzbg7OzMuHHjijgdPHv2jEmTJrF69WoArl+/TvXq1Zk8eTKVKlXis88+K+KE6Q4ePMjBgwcJCwsjOTlZ47mVK1cWSaYlS5bkuu3kyZMLMUnuGBoa8vDhQ2xsbDQej4yMxMbGhqSkpCJKpklXXRUKBaVKlaJmzZq0bdsWQ0PDV5pLH49B169fx8/PT+t+8/XXXxdRKk2rV6/G2tqabt26AfDJJ5+wbNkynJ2d2bhxI1WqVCnihPD06VPmz///9u48rOb0/x/485QWaUeRaKVFixIjS6WoLCNZZ+zJOhRtg48lsn5Kko8ZWaLFLsuYsZRpOUSGFkWJ9iyFoolCy3n//ujX0XHKMl/T/T51P67LdeV9ui7P6+Sczvt13/frta3F9yA23DjV19cjLCysxYxxcXGEkomm1NRUSEhIwNjYGADw22+/4dChQzA0NMT69eshKSlJOKGw+vp63L17FxoaGlBSUiIdBwCgqKiI1NRUaGtrk47yWVlZWSguLkZNTY3Adba8n1dUVCA0NBT3798Hh8OBgYEBXF1doaCgQDoa1c7QwgIl8sTEBDfecDgcNP1vzeFw+F+z5QZp2LBhWLBgAWbOnInS0lLo6emhb9++ePjwIdzd3Yl/sF+2bBmuX7+OnTt3wtHRERkZGdDW1sb58+fh6+uLtLQ0ovkabdiwAX5+frCwsED37t0FftYAcPbsWSK5tLS0vuj7OBwOK248xMTE8OzZM3Tt2lXg+sOHD2FhYYHKykpCyQRpaWnhxYsXqK6uhpKSEhiGQUVFBWRkZCArK4vnz59DW1sb8fHx6NmzZ6vl+vg9qCUcDocV70H79+/H4sWL0aVLF3Tr1k3gdcPhcJCamkow3Qd6enrYs2cPbG1tkZSUBDs7O+zcuRN//PEHOnTogDNnzpCOiB9//BFcLhczZ85s9j1o2bJlhJJ9sHTpUoSFhWHMmDHNZgwKCiKUTBgbC8UfGzBgAFauXImJEyciPz8fffv2hbOzM27fvo0xY8Zg586dpCNi+fLlMDY2hqurK+rr62FtbY0bN25ARkYGf/zxB2xsbEhHhIuLC4yNjeHp6Uk6Sovy8/Ph7OyMu3fvCny2bHwNseH9PDk5GQ4ODujYsSMGDhwIhmGQnJyMt2/fIiYmBubm5qQjUu0JQ1FtyJUrVxhzc3Pm8uXLzN9//81UVlYyly9fZiwsLJiYmBjS8fgUFRWZ7OxshmEYJjg4mBk8eDDDMAwTHR3NaGlpkYzGMAzD9OrVi0lKSmIYhmFkZWWZvLw8hmEYJicnh5GTkyMZTUC3bt2YiIgI0jFElrOzM+Ps7MyIiYkxo0eP5v/d2dmZGTduHKOpqck4ODiQjsl39OhRxsbGhsnNzeVfy8nJYWxtbZnjx48zjx49YoYMGcJMnDiRYEr269WrF7Nt2zbSMT6rY8eOTFFREcMwDPPzzz8zM2fOZBiGYe7du8d06dKFZDQ+BQUFJjExkXSMT+rcuTNz4cIF0jE+a/369YyYmBgzcOBAxsnJiRk/frzAH7aQl5fnvwdt27aNsbe3ZxiGYRITExl1dXWS0fh69OjB3L59m2EYhjl79iyjpqbGPHjwgFm9ejX/8wZpmzZtYhQVFZmJEycyW7ZsYYKDgwX+sMHYsWMZJycn5vnz54ysrCyTlZXFXLt2jRk4cCBz9epV0vEYhmGYoUOHMnPmzGFqa2v512pra5nZs2czw4YNI5iMao86kC5sUNS3tHz5coSEhGDo0KH8aw4ODpCRkcGCBQtw//59guk+qK2thZSUFADgzz//5G+n09fXR0lJCcloAIAXL14IbYsHGrb9frzaRVJNTQ0GDx5MOobIatwmyTAM5OTk0LFjR/5jkpKSGDRoEObPn08qnpA1a9bg9OnT0NHR4V/T1dXF9u3b+auH/v7+mDhxIsGU7Pfq1StMnjyZdIzPkpWVRXl5OXr16oWYmBh4eHgAAKSlpfH27VvC6RooKSlBWVmZdIxPkpSUhK6uLukYnxUSEoKwsDDMnDmTdJRPYhiGv5vizz//xNixYwEAPXv2RFlZGclofGVlZejWrRsA4OLFi5g8eTL69OkDV1fXrzqq9286cOAAFBUVkZKSgpSUFIHHOBwOK44JJiUlIS4uDl27doWYmBjExMQwdOhQbN26Fe7u7qzYvZmcnIz9+/ejQ4cPt3QdOnTAzz//DAsLC4LJqPaIFhaoNiUvL6/ZM2UKCgooLCxs/UAt6Nu3L0JCQjBmzBhcuXIFGzduBAA8ffoUnTt3JpyuYavnhQsX4ObmBuDDtr/9+/fD0tKSZDQB8+bNw9GjR7F27VrSUT7p8ePHOH/+fLNnNHfs2EEoFXDo0CEAgKamJry9vdGpUydiWb5ESUlJi00mS0tLAQBqamp4/fp1a0cTUFVVBS6X2+zPmw0flidPnoyYmBgsWrSIdJRPGjlyJObNmwczMzM8fPiQ32shMzMTmpqaZMP9fxs3bsS6desQHh4OGRkZ0nGa5eXlheDgYOzevZtVheGPiUqh2MLCAps2bcKIESPA5XKxZ88eAEBBQQFUVVUJp2ugqqqKrKwsdO/eHZcvX8avv/4KoKF/Umv3oPkYj8eDmJgYCgoKiOb4EvX19ZCVlQUAdOnSBU+fPoWenh40NDTw4MEDwukayMvLo7i4GPr6+gLXHz16BDk5OUKpqPaKFhaoNmXAgAFYvnw5Dh8+jO7duwMASktL4eXlhYEDBxJO98F///tfODs7IyAgALNnz4apqSmAhiZwbMi5detWODo6IisrC3V1dQgODkZmZiaSkpLA5XKJZmt6HpPH42Hfvn34888/YWJiAgkJCYHvJXnT3ig2Nhbjxo2DlpYWHjx4ACMjIxQWFoJhGNacffT19UVdXR3+/PNP5OXlYdq0aZCTk8PTp08hLy/P/2BF2vDhw7Fw4UIcOHAAZmZmAIC0tDQsXrwYtra2AIC7d+9+cY+Lf0NaWhpGjx6N6upqVFVVQVlZGWVlZZCRkYGKigorCgu6urpYu3Ytbt68CWNjY6HXDRsyAsAvv/yCNWvW4NGjRzh9+jS/6JqSkoIff/yRcLoGgYGByMvLg6qqKjQ1NYWeS1L9KiZMmCDw97i4OFy6dAl9+/YVysiGXhWA6BSKg4KCMGPGDJw7dw6rV6/m7waJiopiTWHExcUFU6ZM4ffUGDlyJADgr7/+EroBbW0SEhICzYJ9fHywatUqVu78MTIy4veY+u677+Dv7w9JSUns27ePNU0np06dCldXV2zfvh2DBw8Gh8NBYmIifHx8WPM+SbUftHkj1abk5ubC2dkZDx48QK9evQAAxcXF6NOnD86dO8eq7aD19fWorKwU6NBcWFjIvwEh7e7du9i+fTtSUlLA4/Fgbm6OFStW8DthkzJ8+PAv+j4Oh8OKbucDBw6Eo6Mj/Pz8ICcnh/T0dKioqGD69OlwdHTE4sWLSUdEUVERHB0dUVxcjPfv3/OngCxfvhzv3r1DSEgI6YgAGoqEM2fORGxsLP/mqK6uDnZ2doiMjISqqiri4+NRW1sLe3t7IhltbGzQp08f7NmzB4qKikhPT4eEhARmzJiBZcuWCd3wkfCpwgtbGoqKig0bNnzycV9f31ZKIsjFxeWLv7dx5xJpy5YtQ0REBExMTFhbKP6Ud+/eoUOHDgJb0kmKiorCo0ePMHnyZP4EqvDwcCgqKsLJyYlYLjExMZSWlvI/58jLy+POnTusuVFvKjo6GlVVVZgwYQLy8/MxduxYZGdno3Pnzjhx4gS/oE1STU0NfHx8EBISwt/RJyEhgcWLF2Pbtm38Y7cU1RpoYYFqcxiGwZUrV5CdnQ2GYWBoaIgRI0awbgtoXV0dEhISWL1CTP3fycnJ4c6dO9DR0YGSkhISExPRt29fpKenw8nJiRVHdMaPHw85OTmEhoaic+fOSE9Ph7a2NrhcLubNm4ecnBzSEQVkZ2fj4cOHYBgG+vr60NPTIx2JT1FREX/99Rf09PSgqKiIpKQkGBgY4K+//sLs2bORnZ1NOqLIuHz5MmRlZfk9c3755Rfs378fhoaG+OWXX1gzNo/6Nj5VNGZLoRgAtLW1cfv2baFjixUVFTA3N2dFYS4iIgJTp04VuqmsqanB8ePHMWvWLELJhAsLjQV3NhYWmvPy5UsoKSmx7jNldXU18vLywDAMdHV1WXs0i2rb2FFWpahviMPhwN7eHlZWVpCSkmLdmz8gvEI8cuRIyMnJwd/fnxUrxBcvXoS4uDgcHBwErkdHR4PH42HUqFGEkjUvNzcXeXl5sLKyQseOHcEwDGt+7p06dcL79+8BNJz/z8vLQ9++fQGANY2+EhMTcf36daH56xoaGnjy5AmhVC3T19cnvp23JRISEvz/e6qqqiguLoaBgQEUFBRQXFxMOJ2gmpoaFBQUQEdHhzWrrE35+Pjgv//9L4CGHVReXl7w9PREXFwcPD09WbPSXlFRgaioKOTl5cHHxwfKyspITU2FqqoqevToQToeCgoKUFdXh969ewtcz8nJgYSEBGv6VcTHx5OO8EUKCwubHTP4/v17PH78mEAiYS4uLnB0dBTa/fj69Wu4uLgQLSyIsqKiIlRVVUFRUZE1nzEaycjIwNjYGEVFRSgsLIS+vv4Xj0KmqG+FfZ8kKOr/gMfjYfPmzQgJCcGzZ8/4W7rXrl0LTU1NuLq6ko4IoGHLp4WFBdLT0wVWPZydnTFv3jyCyRqsXLkS27ZtE7rOMAxWrlzJmsJCeXk5pkyZgvj4eHA4HOTk5EBbWxvz5s2DoqIiAgMDSUfEoEGDcP36dRgaGmLMmDHw8vLC3bt3cebMGQwaNIh0PAANr5vmPig/fvyYePMnT09PbNy4EZ06dfrsvHM2bJU2MzNDcnIy+vTpg+HDh2PdunUoKytDZGQk8WNEjaqrq+Hm5obw8HAA4L9Puru7Q01NDStXriScsEFBQQEMDQ0BAKdPn8bYsWOxZcsWpKamYvTo0YTTNcjIyMCIESP4DYLnz58PZWVlnD17FkVFRYiIiCAdEXPmzMHcuXOFCgt//fUXDhw4gISEBDLBRMz58+f5X0dHRws0iq6vr0dsbCzR/i5NtVRcf/z4cbMNrlvbunXr+CvqNTU12Lx5s1Auku/n4eHhePXqFZYvX86/tmDBAoSGhgIA9PT0EB0djZ49exJKKBoZqfaHFhaoNmXTpk0IDw+Hv7+/wJg8Y2NjBAUFsaawwPYV4pycHP4H+qb09fWRm5tLIFHzPDw8ICEhwV8VbjR16lR4eHiworCwY8cOvHnzBgCwfv16vHnzBidOnICuri6CgoIIp2swcuRI7Ny5E/v27QPQsOvnzZs38PX1JX4Dl5aWhtraWgANjfBaWiViy+rRli1b+FMpNm7ciNmzZ2Px4sXQ1dVlzQr7qlWrkJ6ejoSEBDg6OvKvjxgxAr6+vqwpLEhKSqK6uhpAw1i/xlVWZWVlVFZWkozG5+npiTlz5sDf31+gCDdq1ChMmzaNYLIP0tLSMGTIEKHrgwYNwtKlSwkkal5VVRW2bduG2NhYPH/+nD/SsRHpIwbjx4/nfz179myBxxp3fpD+nWNmZgYOhwMOhwM7OzuBnUj19fUoKCgQeM2TYGVlJTBRYfDgwUI/W9Lv5yEhIViwYAH/75cvX8ahQ4cQEREBAwMDLF26FBs2bMCBAwdoRopqghYWqDYlIiIC+/btg52dncAoNRMTE1adbWbzCjHQMJ4zPz9faItsbm4uq0YSxsTEIDo6mt+YqlHv3r1RVFREKJWgpudGZWRk+GO/2CQoKAjDhw+HoaEh3r17h2nTpiEnJwddunTBsWPHiGYLDg6GvLw8AIjEymrTueFdu3bFxYsXCaZp3rlz53DixAkMGjRI4AO8oaEh8vLyCCYTNHToUHh6emLIkCG4desWTpw4AaBhh8XHr3lSbt++jb179wpd79GjB38EKmkcDqfZEax///13s7+HSJk3bx64XC5mzpzJn2bAJo2FDi0tLSQnJ7NiNPTHGosfd+7cgYODg0C/JklJSWhqamLixImE0jUQhffxhw8fCryX//bbbxg3bhymT58OoKGA/DUNUv8NopCRan9oYYFqU548edLs5Acej8df9WQDNq8QA8C4ceOwfPlynD17Fjo6OgAaigpeXl4YN24c4XQfVFVVNdugqKysjJWdkN+8eSO0Ctd400ySmpoa7ty5g2PHjiE1NRU8Hg+urq6YPn06OnbsSDSbmZkZfzRZS03TqK/z4sWLZifPVFVVsepmbvfu3fjpp58QFRWFPXv28PsVXLp0ifiqayNpaelmd088ePAAXbt2JZBI2LBhw7B161YcO3YM4uLiABpWr7du3cpvjMkGly5dwoULF5rdXcEWtbW10NTURHl5OSvfh3x9fVFfXw8NDQ04ODjwx26z3fXr12FhYcGa39tv374V+N1848YNzJ07l/93bW1t4oVDUchItT+0sEC1KX379sW1a9egoaEhcP3UqVP8ufdswOYVYgAICAiAo6Mj9PX1+SuDjx8/xrBhw7B9+3bC6T6wsrJCREQENm7cCKChQMPj8RAQEPDFYyn/bQUFBVi6dCkSEhLw7t07/vXGM7BsWTHs2LEj5s6dK/DBhA0UFRVRUFAAFRUVFBYWChVm2Ka8vBzr1q1DfHx8s9u5X758SSjZBwMGDMCFCxfg5uYG4MO24/3798PS0pJkNAG9evXCH3/8IXSdLUeIAMDJyQl+fn44efIkgIbnsri4GCtXriS+MtzI398fVlZW0NPTw7BhwwAA165dQ2VlJWsmLQCAkpISlJWVScf4JAkJCdy7d49VBbiPiYuLY9GiRbh//z7pKF9s1KhRrBo5qaGhgZSUFGhoaKCsrAyZmZkCRbjS0lLivSpEISPV/tDCAtWm+Pr6YubMmXjy5Al4PB7OnDmDBw8eICIiotkPqKQ0rhAfP34cKSkprFohBhqOQty4cQNXrlxBeno6OnbsCBMTE1hZWZGOJiAgIAA2NjZITk5GTU0Nfv75Z2RmZuLly5e4fv066XgAwN+WePDgQaiqqrL6A2lWVhaKi4tRU1MjcJ3kLpWJEyfC2tqavzXawsKCv+r6MdJnsAFgxowZyMvLg6urK2t/3lu3boWjoyOysrJQV1eH4OBgZGZmIikpCVwul3S8Zr19+1Zo1xkbdvts374do0ePhoqKCt6+fQtra2uUlpbC0tISmzdvJh0PQMMRl4yMDOzevZv/fj5r1iwsXbqUVTfyGzduxLp16xAeHs7qUXmzZs1CaGhosw2O2cLY2Bj5+fmsaSb5OQzDkI4gYNasWViyZAkyMzMRFxcHfX199O/fn//4jRs3YGRkRDChaGSk2h8Ow7ZXM0X9H0VHR2PLli38G3Zzc3OsW7cO9vb2pKPxHT58GDNmzGj2MR8fHwQEBLRyItFVWlqKPXv2CPy8lyxZwpotoLKyskhJSYGenh7pKC3Kz8+Hs7Mz7t69Cw6Hw/+Q13hTTHpXxeXLl5Gbmwt3d3f4+fm12Idk2bJlrZxMmJycHBITE2Fqako6yifdvXsX27dvF3jdrFixgjWTK4CGoxkrVqzAyZMnUV5eLvQ46f+XTcXFxfGPEZmbm2PEiBGsGnvLVo3NBhvl5uaCYRhoampCQkJC4HtTU1NbO16z3NzcEBERAV1dXVhYWAj1HWLDdJqYmBisWLECGzduRP/+/YUysqEo15ScnBzS09NZs2OBx+PB19cXf/zxB7p164YdO3YINIiePHkyHB0diTYEF4WMVPtDCwsURYCioiIOHz6MsWPHClz38PDA8ePHUVJSQijZB7GxsS125z548CChVKJn+PDhWL16NUaMGEE6Sou+//57iIuLY//+/dDW1satW7dQXl4OLy8vbN++nb99mjQXFxfs2rWLFQ1OWzJgwAD873//Y80oUVG2ZMkSxMfHw8/PD7NmzcIvv/yCJ0+eYO/evdi2bRt/NxBJW7duxapVq4Su19fXY8aMGcSOtmVkZMDIyAhiYmLIyMj45PeamJi0UiphGzZs+OLv9fX1/ReTfLlPHbPjcDisOF4iJibG/7pp4YZtR/AaHT16FE5OTqxqDv01jh07hnHjxrE6vyhkpEQfLSxQbU5FRQWioqKQn58Pb29vKCsrIzU1FaqqqvzmX6RdvnwZP/zwA86fP88/XuDm5oYzZ84gNjYW+vr6RPNt2LABfn5+sLCwaLY799mzZwklE3T16tVPPs6Goxt5eXlYtGgRZsyYASMjI6FVOJIf6ht16dIFcXFxMDExgYKCAm7dugU9PT3ExcXBy8sLaWlppCOKjNu3b2PlypVYt25dsz9vNqwUiouL8xtiNlVeXg4VFRXW3HT06tULERERsLGxgby8PFJTU6Grq4vIyEgcO3aMFRM3VFVVsXHjRoGxb/X19fjhhx9w7949YufcxcTEUFpaChUVFYiJiQnsRGqKjTeZ1P/d5440WVtbt1KS9kFeXp5VPSKaIwoZKdFHeyxQbUpGRgZGjBgBBQUFFBYWYt68eVBWVsbZs2dRVFSEiIgI0hEBAI6OjggJCcH48eMRExODgwcP4rfffkN8fDz69OlDOh5CQkIQFhaGmTNnko7ySTY2NkLXmhZB2PCB+cWLF8jLyxMY+9T4IZ8tH+rr6+v5Y8m6dOmCp0+fQk9PDxoaGgLzxkmztbX95ONsWClUVFTE33//LZSVTT/vltYT3r9/D0lJyVZO07KXL1/yz4jLy8vzG18OHToUixcvJhmN7+LFixgxYgQUFRUxZcoU1NbWYurUqcjOzkZ8fDyxXAUFBfypFAUFBcRytHWPHz8Gh8NhzaJFI1EpHHC5XGzfvh33798Hh8OBgYEBfHx8WLNL7kuJwhqtKGSkRB8tLFBtiqenJ+bMmQN/f3+B7dKjRo3CtGnTCCYT9sMPP+DVq1cYOnQounbtCi6X2+yoTBJqamowePBg0jE+69WrVwJ/r62tRVpaGtauXcuaxmlz586FmZkZjh07xtpmfkZGRsjIyIC2tja+++47+Pv7Q1JSEvv27WPV6sbHfQtqa2tx584d3Lt3D7NnzyaUStD06dMhKSmJo0ePsu7nvWvXLgANha0DBw4IzLivr6/H1atXie+WakpbWxuFhYXQ0NCAoaEhTp48iYEDB+L333+HoqIi6XgAgP79++Ps2bNwcnKClJQUQkNDkZeXh/j4eKiqqhLL1XQy0sdTktiqvr4eQUFBOHnyZLNNZNkwUQVoONu+adMmBAYG4s2bNwAaegR4eXlh9erVAscQSKqoqEBoaCj/pt3Q0BBz585lzaSAw4cPw8XFBRMmTIC7uzsYhsGNGzdgZ2eHsLAw1n1moyjq8+hRCKpNUVBQQGpqKnR0dASaARUVFUFPT09g3F9r8/T0bPZ6VFQUzMzMoKOjw79GuvnTihUrICsri7Vr1xLN8U9dvXoVHh4eSElJIR0FnTp1Qnp6OmuKRs2Jjo5GVVUVJkyYgPz8fIwdOxbZ2dno3LkzTpw48dmdAqStX78eb968YcUoVBkZGaSlpbGyWWfj6n9RURHU1dUFpmtISkpCU1MTfn5++O6770hFFBAUFARxcXG4u7sjPj4eY8aMQX19Perq6rBjxw5WNOtsdP78eUycOBEGBgaIi4tDly5diOf5UiSnvjS1bt06HDhwAJ6enli7di1Wr16NwsJCnDt3DuvWrYO7uzvpiACAVatWITQ0FBs2bMCQIUPAMAyuX7+O9evXY/78+awoaicnJ8PBwQEdO3bEwIEDwTAMkpOT8fbtW8TExMDc3Jx0RBgYGGDBggXw8PAQuL5jxw7s379fpMZlsq35ZHNEISMl+mhhgWpTVFVVcfnyZZiZmQm8icbExMDV1RWPHj0ilu1TDZ+aYkPzp2XLliEiIgImJiYwMTEROidOuvDxOffv38eAAQP4q0kkff/995gzZw5rZtp/qZcvX0JJSYlVK+4tyc3NxcCBA1mxomllZYV169axulnn8OHDcebMGSgpKZGO8lWKi4uRnJwMHR0dolM3JkyY0Oz1mzdvQldXV6CocObMmdaKJeBLV83ZcjwHAHR0dLBr1y6MGTMGcnJyuHPnDv/azZs3cfToUdIRATSMiw4JCREqyPz222/46aef8OTJE0LJPhg2bBh0dXWxf/9+dOjQsDm5rq4O8+bNQ35+/mf7E7UGKSkpZGZmChXdc3NzYWRkRHQh6GuJwk27KGSkRB89CkG1KU5OTvDz88PJkycBNHxoKi4uxsqVK4nf2JE8b/u1MjIy0K9fPwDAvXv3BB5j043mx93OGYZBSUkJtm3bxppxf99//z08PDxw9+5dGBsbCxVp2LJa2OjRo0fgcDhQV1cnHeWLJSUlQVpamnQMAA1NWJctWwYfH59mf95saNYpSu9FTfXq1Qu9evUiHaPFreQODg6tnKRlH0/yEQWlpaX8caeysrL4+++/AQBjx45l1e65ly9fNntkSF9fnxXFTaBhx0LTogIAdOjQAT///DMsLCwIJvugZ8+eiI2NFSosxMbGomfPnoRSURT1f0ELC1Sbsn37dowePRoqKip4+/YtrK2tUVpaCktLS1ZsTxQVonLj0a9fv2a7nQ8aNIg1IzEXLVoEAPDz8xN6jC2rhXV1ddiwYQN27drF3+UhKysLNzc3+Pr6Ct0ck/LxSnFjISk5OZk1Nx5Tp04F0NBboxEbmnW2dBSrOWzakcTGsbeHDh0i8u/+E7W1tbC3t8fevXtZ0Rj4U9TV1VFSUoJevXpBV1eXv2X/9u3bkJKSIh2Pz9TUFLt37+b3LGm0e/du1hS05eXlUVxcLFQAefToEWvG9Xp5ecHd3R137tzB4MGDweFwkJiYiLCwMAQHB5OO91U0NDRY83uyJaKQkRJ9tLBAtSny8vJITExEXFwcUlNTwePxYG5uzsptybdv38apU6eabVJFavusqPm427mYmBi6du3KmtVrQDRWDpcuXYqzZ8/C398flpaWABp2Aaxfvx5lZWUICQkhnLDBxyvFYmJi0NPTg5+fH+zt7QmlEsTWDvxfOjKUTTuSPjf2lg0KCgpQV1eH3r17C1zPycmBhIQENDU1yQT7/yQkJHDv3j1WPncfc3Z2RmxsLL777jssW7YMP/74I0JDQ1FcXCx0Dp8kf39/jBkzBn/++ScsLS3B4XBw48YNPHr0iBUjUIGGAqerqyu2b98ucNPu4+ODH3/8kXQ8AMDixYvRrVs3BAYG8neZGhgY4MSJE3ByciKcrsGcOXMwd+7cz46u/nhnZ2sShYxU+0F7LFAUAcePH8esWbNgb2+PK1euwN7eHjk5OSgtLYWzszMrVsTYXvgQhZW4uro6SEtL486dOzAyMiIdp0UKCgo4fvw4Ro0aJXD90qVL+OGHH/hbkimqNXXv3h3+/v6sHntrbW2NuXPnCk0lOXz4MA4cOICEhAQywZrw8vKChIQEtm3bRjrKV7l58yZu3LgBXV1d1h0Ze/r0KX755RdkZ2eDYRgYGhrip59+gpqaGuloABomO/n4+CAkJAR1dXUAGopMixcvxrZt21i1A4TNJk6ciAsXLqBnz55wcXHB7NmzWTdaVBQyUu0HLSxQbU5sbCyCgoL4I5b09fWxfPlyVu1aMDExwcKFC7FkyRJ+Qx0tLS0sXLgQ3bt3x4YNG4jmE4XCBwB07doVN27cEFotZBMdHR2cOXOGNVtkm6OqqoqEhAQYGBgIXL9//z6srKzw4sULQsmEVVRUICoqCnl5efDx8YGysjJSU1OhqqrKmg9TDx8+REJCQrPb99etW0colbDc3Fzk5eXBysoKHTt25B/XYIvOnTvj1q1bAhNz2EZeXh6pqanNNqCzsLBARUUFmWBNuLm5ISIiArq6urCwsECnTp0EHmfT0Re2E4WCdn19PRITE2FsbAxpaWnk5eWBYRjo6upCRkaGdDyRU15ejsOHDyMsLAz37t3DiBEj4OrqCicnJ9YcLRCFjFT7QAsLVJuye/dueHh4YNKkSfwt3Tdv3kRUVBR27NiBpUuXEk7YoFOnTsjMzISmpia6dOmC+Ph4GBsb4/79+7C1tUVJSQnRfGwvfDQShZW4Q4cO4dSpUzh8+DCUlZVJx2mWn58fsrOzcejQIf5K1vv37+Hq6orevXvD19eXcMIGGRkZsLOzg6KiIgoLC/HgwQNoa2tj7dq1KCoqQkREBOmI2L9/PxYvXowuXbqgW7duAjfqHA4HqampBNM1KC8vx5QpUxAfHw8Oh4OcnBxoa2vD1dUVioqKCAwMJB0RgGiMvVVQUEBCQgLMzMwErqekpMDGxgavX78mlOyDT00kYsMUoqYePHiA//3vfwILA25ubqwa3yoKBW1paWncv3+fP2KWTb50KkF+fv6/nOTrpaWl4eDBgzhw4ABkZWUxY8YM/PTTT6z6vyAKGam2i/ZYoNqUrVu3IigoSKCA4O7ujiFDhmDz5s2sKSwoKyvzP3D26NED9+7dg7GxMSoqKlBdXU04HZCXl4cxY8YAaBgJVVVVBQ6HAw8PD9ja2rKmsFBTU4MDBw7gypUrrF2J27VrF3Jzc6GmpgYNDQ2hjGy40UxLS0NsbCzU1dX5OyvS09NRU1MDOzs7gaaJJI/BeHp6wsXFBf7+/gINyEaNGoVp06YRy9XUpk2bsHnzZqxYsYJ0lBZ5eHhAQkICxcXFArtUpk6dCg8PD9YUFt69e4d9+/bhzz//ZO3Y22HDhmHr1q04duwYxMXFATSsGG/duhVDhw4lnK6BqDTjjYqKwo8//ggLCwuBhQEjIyMcPXoUkydPJpywwaxZsxAaGsrqgraxsTHy8/NZWVgoLCyEhoYGpk2bBhUVFdJxvlhJSQliYmIQExMDcXFxjB49GpmZmTA0NIS/vz8r+oCIQkaqbaOFBapNqayshKOjo9B1e3t7Vn3QHzZsGK5cuQJjY2NMmTIFy5YtQ1xcHK5cuQI7OzvS8Vhf+Gh07949mJubA2jYft4UW7Z0jx8/nnSEz1JUVBQax8rGcV+3b9/G3r17ha736NEDpaWlBBIJe/XqFWtugFoSExOD6OhooZGivXv3RlFREaFUwkRh7K2/vz+srKygp6eHYcOGAQCuXbuGyspKVu0EANh/9OXnn3/GqlWrhCbo+Pr6YsWKFax5XYlCQXvz5s3w9vbGxo0b0b9/f6GM8vLyhJI1HLU8dOgQduzYgVGjRmHu3LkYPXo0xMTEiGVqSW1tLc6fP49Dhw4hJiYGJiYm8PDwwPTp0/nF7ePHj2Px4sXEbtpFISPVftCjEFSbMn36dPTr1w8+Pj4C17dv346UlBQcO3aMUDJBL1++xLt376CmpgYej4ft27cjMTERurq6WLt2LZSUlIjmmzZtGiwsLODp6YnNmzcjODgYTk5OuHLlCszNzYmuWmdkZMDIyIiVH0Kof5eqqiouX74MMzMz/hEdbW1txMTEwNXVFY8ePSIdEa6urhgwYAB/zCgbycnJITU1Fb179xZ4Hm/fvg1HR0eUl5eTjvhVHj9+DDU1NWLvCU+fPsXu3buRnp6Ojh07wsTEBEuXLmXN0SdROfoiIyODjIwMoX4VOTk5MDU1ZU1RWxSOljR9LTQtHpEee9vUkydPEBYWhrCwMFRVVWHWrFn843ds0aVLF/B4PPz444+YP38+v9DZ1KtXr2Bubk5sIpAoZKTaD1pYoNqUTZs2Yfv27RgyZIjAVsrr16/Dy8tLoErv7u5OJGNdXR2OHDkCBwcHdOvWjUiGz2Fz4UNcXBwlJSVQUVHh3wx17tyZWJ4vlZKSwj83bGhoKHQmm6S3b9+CYRh+Y6+ioiKcPXsWhoaGrBnjCAALFizAixcvcPLkSSgrKyMjIwPi4uIYP348rKyssHPnTiK5ms6zr6qqwo4dOzBmzBgYGxsLbd8n9b7T1JgxY2Bubo6NGzdCTk4OGRkZ0NDQwA8//AAej4eoqCjSEb+KvLw87ty588Vnt9ubWbNm4fnz5zhw4AAMDAwECnIeHh7IzMwkHREAMHr0aEyePBkuLi4C1w8dOoTjx48jOjqaUDLRw+VyP/m4tbV1KyX5MlwuF+vXr8fVq1dRVlZGfHGlUWRkJCZPnsyqEdYfE4WMVPtBCwtUm/Kl5wk5HA7RxkAyMjK4f/8+NDQ0iGUQVZ07d8bFixfx3XffQUxMDM+ePUPXrl1Jx2rR8+fP8cMPPyAhIQGKiopgGAZ///03hg8fjuPHj7Miu729PSZMmIBFixahoqICenp6kJSURFlZGXbs2IHFixeTjgig4ahT45nR169fQ01NDaWlpbC0tMTFixeFtvu2FlF532mUlZUFGxsb9O/fH3FxcRg3bhwyMzPx8uVLXL9+ndVTGJrTdNcFCRUVFQgNDRUoHM6dOxcKCgpE8nysW7duiI6OhqmpqcBzVVBQAGNjY7x584ZYtvPnz/O/fvr0KdatW4cpU6Zg0KBBABoWBk6dOoUNGzawbhcQ24+WiIJ3794hKioKBw8exM2bNzFu3DiEh4fTcZgUJaJoYYGiCBg+fDiWLVvG2vP3TXcFNFVeXg4VFRWi2ygXLFiAiIgIdO/eHcXFxVBXV+c3TfsYG27ipk6diry8PERGRvIb5WVlZWH27NnQ1dVlxfGcLl26gMvlom/fvjhw4AD+97//IS0tDadPn8a6detw//590hEFxMXFITU1FTweD+bm5qwaJSsqSktLsWfPHqSkpPCfxyVLlqB79+6ko301koWF5ORkODg4oGPHjhg4cCAYhkFycjLevn2LmJgYfg8Ykth89OVLj6+wZfs+IDpHS65du4a9e/ciPz8fp06dQo8ePRAZGQktLS3ijUX/+usvhIaG4sSJE9DR0cHcuXMxffp01uxUaOr27ds4deoUiouLUVNTI/AYyWOhTYlCRqp9oM0bqTatvr4ed+/ehYaGBqt+Yf3000/w8vLC48ePm22sZGJiQihZg5bqje/fv4ekpGQrpxG0b98+TJgwAbm5uXB3d8f8+fMFJgSwzeXLl/Hnn38KdN83NDTEL7/8wppjBtXV1fznMCYmBhMmTICYmBgGDRrEqmZ+jWxtbWFra0s6hkjr1q0ba6a7iDIPDw+MGzcO+/fvR4cODR+p6urqMG/ePCxfvhxXr14lnBCwsrJCREQENm7cCKDhJp3H4yEgIOCT/QJaA4/HI/rv/xOiMFXl9OnTmDlzJqZPn47U1FS8f/8eAPD69Wts2bIFFy9eJJatb9++eP78OaZNm4Zr164R/7zzKcePH8esWbNgb2+PK1euwN7eHjk5OSgtLYWzszPpeABEIyPVftAdC1Sbsnz5chgbG8PV1RX19fWwsrJCUlISZGRk8Mcff8DGxoZ0RADNr9JwOBzijZUaz4p7eHhg48aNkJWV5T9WX1+Pq1evorCwEGlpaUTyfczFxQW7du36bGGBZHM3OTk5XLt2TaihUlpaGqytrVFZWdnqmT5mYmKCefPmwdnZGUZGRrh8+TIsLS2RkpKCMWPGsGbiAtDQw4DL5Ta7MsOG/gWTJk2ChYUFVq5cKXA9ICAAt27dwqlTpwgl++Dy5cuQlZXlr1r+8ssv2L9/P7/gxaYi7JcguWOhY8eOSEtLg76+vsD1rKwsWFhYsKLhYFs7+kIam4+WNDIzM4OHhwdmzZolkPHOnTtwdHQk+p4uJiaGTp06oUOHDp88OvLy5ctWTNU8ExMTLFy4EEuWLOE/j1paWli4cCG6d+/OiuKsKGSk2g+6Y4FqU6KiojBjxgwAwO+//47CwkJkZ2cjIiICq1evxvXr1wknbMDWzrxBQUEAGnYshISECBwxkJSUhKamJkJCQkjFE3Lo0KEv+j5DQ0Nizd1sbW2xbNkyHDt2DGpqagAaumF7eHiwYrQoAKxbtw7Tpk3jZ2psfBoTE8OqJpNpaWkYPXo0qqurUVVVBWVlZZSVlUFGRgYqKiqsKCxwuVz4+voKXXd0dMT27dsJJBLm4+OD//73vwCAu3fvwtPTE15eXoiLi4Onp+cXv67YguS5dnl5eRQXFwsVFh49esSanVSGhobIyMjAnj17IC4ujqqqKkyYMIGVR1+4XC62b9/O71dhYGAAHx8f/ihPNqiqquI3um2qrKyMNb0BHjx4ACsrK6Hr8vLyqKioaP1ATYjS+0teXh7GjBkDAJCSkkJVVRU4HA48PDxga2vLipt2UchItR+0sEC1KWVlZfxJCxcvXsTkyZPRp08fuLq6CnRuJ42tTRsbCx7Dhw/HmTNnRG7lsiUkN2bt3r0bTk5O0NTURM+ePcHhcFBcXAxjY2McPnyYWK6mJk2ahKFDh6KkpASmpqb863Z2dgJbKUmP9fPw8MD333+PPXv2QFFRETdv3oSEhARmzJiBZcuWEcn0sTdv3jR7XEhCQoIVu1OAhte5oaEhgIYt099//z22bNmC1NRUjB49mnC6r0fy9T116lS4urpi+/btGDx4MDgcDhITE+Hj44Mff/yRWK6miouL0bNnz2ZvMIqLi9GrVy8CqYQdPnwYLi4umDBhAtzd3cEwDG7cuAE7OzuEhYVh2rRppCMCYPfRkkbdu3dHbm4uNDU1Ba4nJiYSn54ye/bsr/r+Y8eOYdy4cUSa8yorK+P169cAgB49euDevXswNjZGRUUFK3YjAaKRkWpHGIpqQ3r16sVER0czdXV1TM+ePZnff/+dYRiGuXfvHqOoqEg4naDs7GxmyZIljK2tLWNnZ8csWbKEyc7OJh2rWXV1dUxaWhrz8uVL0lH+EVlZWSYvL49ohpiYGGbXrl1McHAwc+XKFaJZ/ik5OTmiz6OCggL/NaKgoMBkZWUxDMMwN2/eZPT09IjlasrCwoLZsGGD0HVfX1/G3NycQCJhSkpKTGZmJsMwDDNkyBBm7969DMMwTEFBAdOxY0eS0fhqa2sZcXFx5u7du5/93uLiYqaurq4VUgl7//494+7uzkhKSjJiYmKMmJgYIyUlxSxfvpx59+4dkUwfExMTY549eyZ0vaysjBETEyOQqHn6+vrMjh07hK4HBgYy+vr6BBI1LzMzk+natSvj6OjISEpKMpMmTWIMDAwYVVVVJjc3l3Q8hmEY5r///S9jaGjI3Lx5k5GTk2OuXbvGHD58mOnatSvzv//9j3S8r0Ly986PP/7IBAYGMgzDMJs2bWK6du3KzJs3j9HQ0GCcnZ2JZPqYKGSk2g+6Y4FqU1xcXDBlyhR0794dHA4HI0eOBNDQgfjjraokRUVF4ccff4SFhQV/2/nNmzdhZGSEo0ePYvLkyUTziUqvClEycuRI/v9HUcUQbskjISHB3/auqqrKb56moKCA4uJiotkarV27FhMnTkReXh6/wWRsbCyOHTvGiv4KADB06FB4enpiyJAhuHXrFk6cOAEAePjwIdTV1Qmna9ChQwdoaGh8Ub+Znj17tkIiYfX19UhKSoKvry+2bt2KvLw8MAwDXV3dZrfKk8K0MAbxzZs3kJaWJpCoefn5+fj++++Fro8bNw7/+c9/CCRqnigcLfn555/5Y43fvXsHKysrSElJwdvbG0uXLiUd76uQ/L2ze/duvHv3DgCwatUqSEhIIDExERMmTMDatWuJ5WpKFDJS7Qdt3ki1OVFRUXj06BEmT57M/5AcHh4ORUVFODk5EU7XQFtbGzNmzICfn5/AdV9fX0RGRhIfk9ijRw/89ttvsLCwwLlz57BkyRLEx8cjIiIC8fHxrOlV8aVIz7mPjY1FbGwsnj9/LtQF/eDBg0Qy/ROkn0d7e3vMmTMH06ZNw6JFi5CWlgZ3d3dERkbi1atX+Ouvv4jk+tiFCxewZcsW3LlzBx07doSJiQl8fX1hbW1NOhqAhu3vP/30Ex49egR3d3e4uroCaDhqUl9fz5pjY4cOHcKpU6dw+PBhKCsrk47TLGlpady/fx9aWlqkowjx9PQEAAQHB2P+/PkCxY76+nr89ddfEBcXZ837ua6uLnx8fLBw4UKB63v37sX27duRk5NDKJnoqq6uRlZWFng8HgwNDQUaMosK0r93KIr6crSwQLVLxsbGuHjxIrGVLhkZGWRkZEBXV1fgek5ODkxNTYmfi5OWlkZubi7U1dWxYMECyMjIYOfOnSgoKICpqSlrzop/KXl5eWLNGzds2AA/Pz9YWFjwd9I0dfbs2VbP9E+R/oCXnJyM169fY/jw4Xjx4gVmz56NxMRE6Orq4tChQwL9Iaj/u23btmHRokVQVFQk8u+bmZkhNzcXtbW10NDQEDpjnZqaSiRXUwMGDMC2bdtY04i1qcbz/lwuF5aWlgK9Pxqb8Xp7e6N3796kIgrYs2cPli9fjrlz5wr0qwgLC0NwcLBQwYEN6uvr4enpidjYWJiZmWHHjh3o2rUr6VhtSmv/3vmazzfy8vL/YpKWiUJGqn2iRyGodqmwsBC1tbXE/n0bGxtcu3ZNqLCQmJjIiu7XqqqqyMrKQvfu3XH58mX8+uuvABpWP5pOihAVJOunISEhCAsLw8yZM4llaCssLCz4X3ft2pXoLPbPqampaXaHClsa5X2JLVu2YMqUKcQKC+PHjyfy736NzZs3w9vbGxs3bkT//v2Fih8kP9THx8cDaDgiGBwczPobjMWLF6Nbt24IDAzEyZMnAQAGBgY4ceIE8d2GFRUV8PLyQnR0NMLCwjBixAgAwLJly3D27FnMnz8fly9fhpubG44fP040K9AwuWLbtm0t7pQjvSuSzRQVFb940gyp0eCikJFqn2hhgaJayfnz5/lfjxs3DitWrEBKSgoGDRoEoKHHwqlTp1gxGkhUelXMnTsXwcHBQmPdqqqq4Obmxj9mkJWVxR/12NpqamowePBgIv/2t0ZyrJ+oyMnJwdy5c3Hjxg2B643n3EXpQx7pDY3Nje1kG0dHRwAN7+lNXx9s+nmL0ng/Z2dngUk0bLFkyRKUl5dj8eLFOHToEEaMGIGoqCjs27cPiYmJGDhwICZOnMjvq0LavHnzwOVyMXPmzGZ3ylEtayzIAQ2LUCtXrsScOXP4/bCSkpIQHh6OrVu3koooEhmp9okehaDaJRJbur90RB9bPoyKQq8KcXFxlJSUQEVFReB649jRuro6Qsk+WLFiBWRlZdtEEyXSRyGePXsGb29v/ircx7++2PC6GTJkCDp06ICVK1c2+4FelI5rkP55Aw0rxVFRUcjLy4OPjw+UlZWRmpoKVVVV9OjRg1iuRlwu95OPs6GvhqisXmtra+P27dvo3LmzwPWKigqYm5sTzdm5c2fcuHEDWlpasLS0RH5+PiorK7F27VqsX78eAJCXlwdTU1O8efOGWM5GioqKuHDhAoYMGUI6yv+ZkZERLl26ROToqp2dHebNmyc0Ovbo0aPYt28fEhISWj3Tx0QhI9V+0B0LFNVKPv4wx3aTJk0Suva186f/LZWVlWAYBgzD4PXr1wKdzevr63Hx4kWhYgMp7969w759+/Dnn3/CxMQEEhISAo/v2LGDULIPRGHnBwDMmTMHxcXFWLt2LWtX4e7cuYOUlBRW7ewRVRkZGRgxYgQUFBRQWFiI+fPnQ1lZGWfPnkVRUREiIiJIR4SWlhZ69uwp9H+RYRg8evSIUCpBorJ6XVhY2Gxx8P3793jy5AmBRB9ISkqisrISkpKSuH79OmJiYqCsrIyhQ4fyv+fOnTv8FWPSlJSUWNvwtNGcOXMwd+5cWFlZffL77t2710qJhCUlJSEkJETouoWFBebNm0cgkTBRyEi1H7SwQFEs1ppNJnft2oUFCxZAWlr6s13h3d3d//U8n9J4vpDD4aBPnz5Cj3M4HFYcKQEabo769esHQPgDEls+4IeHh2Pbtm1ChYW3b98iIiKCX1gg1ey0UWJiIq5du8Z/PtnI0NAQZWVlpGO0CZ6enpgzZw78/f0F/m+OGjUK06ZNI5jsAy0trWZ3Tb18+RJaWlqs2EVz6dIlVq9eNz0mGB0dDQUFBf7f6+vrERsbC01NTQLJPnBwcICLiwu8vb35N+wvX74UyC4hIQE3NzdSEQVs3LgR69atQ3h4OKtGnzb1+vVr2Nvbo2fPnnBxccHs2bNZsQupqZ49eyIkJASBgYEC1/fu3Uv892EjUchItR/0KATVLrFhi++XaM2cWlpaSE5ORufOnT85Oo3D4RDfOsvlcsEwDGxtbXH69GmBlRlJSUloaGgQXVn/Jx4/fgw1NbUvPjLzLTTu/FBSUkJOTo5AN/P6+nr8/vvvWLlyJZ4+fdpqmT7F0NAQR44cgZmZGekoLYqLi8OaNWuwZcsWGBsbC+1QYXsDvaZIv08qKCggNTUVOjo6AlmKioqgp6fHn91OkpiYGJ49eyY0CaCoqAiGhoaoqqoilOwDLS0tXLx4EQYGBqSjNKvxPY/D4Qgdb5KQkICmpiYCAwMxduxYEvEAAK9evcLSpUsRHR2Nly9ftvh9bDnKaGZmhry8PDAMA01NTaH3ITZMVAGA8vJyHD58GGFhYbh37x5GjBgBV1dXODk5CWUm4eLFi5g4cSJ0dHQE+mHl5eXh9OnTGD16NOGEopGRaj/ojgWqXdq7dy9UVVVJx2CVgoKCZr9mG2VlZTx8+BBdunTB7NmzMWLECKGVdlFkaGjY6iMxRWnnBwDs3LkTK1euxN69e4mvYLaksVv8x+MH2dTM70sNGzYMHTt2JPbvS0tLNztW7cGDB8RH+nl6egJoeI2sXbtWYFW4vr4ef/31F2t21rB99brxmKCWlhZu376NLl26EE4kTElJCUeOHCEd44uJwkQVoKF3xbJly7Bs2TKkpaXh4MGDmDlzJmRlZTFjxgz89NNPRMehjh49Gjk5OdizZw/u378PhmHg5OSERYsWsWY3gChkpNoPumOBalNa2sLP4XAgLS0NXV1dWFlZiczIRNIrhmwkKyuLjIwMaGtrQ1xcHKWlpcRvMr4FEj9rUdj5oaSkJHBkpKqqCnV1dZCRkRFa0frUSmJrEYVmfi3NQOdwOJCSkoKkpGQrJ2reggUL8OLFC5w8eRLKysrIyMiAuLg4xo8fDysrK+zcuZNYtuHDhwNo+HlbWloKPGeSkpLQ1NSEt7c30ZuiRqKyek21XyUlJfxjd0+ePMHEiRNRUlKC+Ph4+Pv7w8PDg0iumpqaFt8Py8rKWFEEE4WMVPtBdyxQbUpQUBBevHiB6upqKCkpgWEYVFRUQEZGBrKysnj+/Dm0tbURHx9PK7kfaVyB+xIkGw5aWlpi/Pjx6N+/PxiGgbu7e4urqo29AShhorLzg+TN4z/BhsLB53xuBrq6ujrmzJkDX1/fVj2a87Ht27dj9OjRUFFRwdu3b2FtbY3S0lJYWlpi8+bNxHIBH8a9ubi4IDg4+LNHXEgcdWokKqvXfn5+n3x83bp1rZTk00QlJ9Bw09ncJJBevXoRSvRBbW0tzp8/j0OHDiEmJgYmJibw8PDA9OnT+b+Ljh8/jsWLFxMrLEyZMgVnzpwRet0+e/YMdnZ2RBtLNhKFjFT7QXcsUG3KsWPHsG/fPhw4cAA6OjoAgNzcXCxcuBALFizAkCFD8MMPP6Bbt26IiooinPbzWnMVu3EFrlFKSgrq6+uhp6cHAHj48CHExcXRv39/xMXF/et5WvLs2TMEBQUhLy8PZ86cgYODA6SkpJr93rNnz7Zyun+utXcstNWdHwCwbds2LFq0CIqKisQyVFdXo7i4GDU1NQLXTUxMCCX6ICIiAqtXr8acOXMwcOBAMAyD27dvIzw8HGvWrMGLFy+wfft2+Pj44D//+Q/puIiLi0Nqaip4PB7Mzc35x01Eiby8fKsfdRI1H/dOqa2tRUFBATp06AAdHR3W7KwQhZwPHz6Eq6srbty4IXCdTUeyunTpAh6Phx9//BHz589v9ujQq1evYG5uTux45nfffQdDQ0McOnSIf62kpAS2trbo27cvKz5HikJGqv2ghQWqTdHR0cHp06eFfkGlpaVh4sSJyM/Px40bN/jb7NiO1FGIHTt2ICEhAeHh4VBSUgLQ8AvexcUFw4YNg5eXV6vmaUnThpOirrV/1iNHjsSzZ8/Qv39/hIeHY+rUqW1m5wfJm7gXL17AxcUFly5davZxNnygt7Ozw8KFCzFlyhSB6ydPnsTevXsRGxuLyMhIbN68GdnZ2YRSti30WNs/U1lZiTlz5sDZ2RkzZ84kHadFbMs5ZMgQdOjQAStXrmx2xKipqSmhZB9ERkZi8uTJAuOi2aa8vBxWVlawt7dHUFAQnjx5AltbW5iamuL48eNEd3SJUkaq/aBHIag2paSkBHV1dULX6+rqUFpaCgBQU1PD69evWzvaP0KqyWRgYCBiYmL4RQWg4az7pk2bYG9vz5rCApubTH6t1h49efjwYf7ODw6Hg7///psVXfa/BZL18uXLl+PVq1e4efMmhg8fjrNnz+LZs2fYtGmT0DgwUlqae25mZoakpCQAwNChQ1FcXNza0YTExsYiNja22e3colbwak1Njzp93KfkY2zoTdISeXl5+Pn5YezYsay4YW8J23LeuXMHKSkp0NfXJx2lRWx4nj6nc+fOiI6OxtChQwEAFy5cgLm5OY4cOcKaG3ZRyEi1H7SwQLUpw4cPx8KFC3HgwAH+dsW0tDQsXrwYtra2AIC7d+9+cpziv6WlxpLNcXd3BwBis9orKyvx7Nkz9O3bV+D68+fPiRdldu3ahQULFkBaWvqzz2nj8ygKWvtmWFVVFdu2bQPQsPMjMjKyTez8IC0uLg6//fYbBgwYADExMWhoaGDkyJGQl5fH1q1bMWbMGNIRoa6ujtDQUP7Pv1FoaCi/90x5eblAYZGEDRs2wM/PDxYWFs2uulItCwoK4p9TDwoKEunnrqKiAn///TfpGJ/FppyGhoYoKysjHeOzbt++jVOnTjV7bOzMmTOEUglSV1fHlStXMHToUIwcORKRkZGsez2JQkaqfaBHIag2pbS0FDNnzkRsbCy/83VdXR3s7OwQGRkJVVVVxMfHo7a2Fvb29q2a7eNiRmOTycZz4I1NJlVUVJCfn9+q2T42a9YscLlcBAYGCsxF9vHxgZWVFcLDw4lla3r84VMFIg6HQ/x5BIC5c+ciODhYqDFiVVUV3Nzc+Kuujx49gpqamshMLGEzktvO5eXlkZGRAU1NTWhqauLIkSMYMmQICgoK0LdvX1RXV7d6po+dP38ekydPhr6+PgYMGAAOh4Pbt28jOzsbUVFRGDt2LPbs2YOcnByijVq7d+8Of39/kVjZ/Bx6FOLzPi4UMwyDkpISREZGwsrKCseOHSOUTJAo5IyLi8OaNWuwZcsWGBsbC00C+Vyz0dZw/PhxzJo1C/b29rhy5Qrs7e2Rk5OD0tJSODs7C/QMaE0t7fCprq6GlJSUwO9oUrt9RCEj1T7RwgLVJmVnZ+Phw4dgGAb6+vr8BoRscfToUfz6668IDQ3lZ3vw4AHmz5+PhQsXYvr06UTzVVdXw9vbGwcPHkRtbS0AoEOHDnB1dUVAQAA6depENJ8oERcXR0lJCVRUVASul5WVoVu3bs0e3WkNbXXnB0D2Jm7AgAHYtGkTHBwcMH78eP5OhV27diEqKgp5eXmtnqk5hYWFCAkJEXifXLhwITQ1NUlH4+vcuTNu3brFb8Qrykj2/Zg+fTpsbGxgbW2NPn36tPq//6U+LhSLiYmha9eusLW1xapVq1gztUYUcjZugf/45pNNzRtNTEywcOFCLFmyhP+eraWlhYULF6J79+7YsGEDkVxfs3Aye/bsfzFJy0QhI9U+0cIC1aZwuVyRGPemo6ODqKgooe7SKSkpmDRpEmt6B1RVVfHnn+vq6goVFEiOUGO7yspKMAwDJSUl5OTkCExcqK+vx++//46VK1fi6dOnRPKJ2s6Pr0GysHDkyBHU1tZizpw5SEtLg4ODA8rLyyEpKYmwsDBMnTq11TOJqhUrVkBWVhZr164lHeX/jOT/yYULF4LL5eLhw4fo1q0brK2tYW1tDRsbG1afwaf+OS6X+8nH2fA5qVOnTsjMzISmpia6dOmC+Ph4GBsb4/79+7C1tRWJBtsURQmiPRaoNmXkyJHo1q0bpk2bhhkzZsDIyIh0pGaVlJTwdwI0VV9fj2fPnhFI1LxOnTp9cjyeoaEh0RFq9fX1CAsLa7G5G8mxmIqKiuBwOOBwOM2uEnI4HGIrMoBg40u2FLK+lWHDhrU44eLf1nS3kZmZGQoLC5GdnY1evXqhS5cuRDI1p6KiArdu3Wr2dTNr1ixCqQBPT0/+1zweD/v27cOff/4JExMToe3cJI9pAA3H7KSlpXHnzp3P/q7JysqCmppaKyUTtHfvXgANRwUTEhKQkJCA4OBgLFmyBCoqKqy+gePxeLhw4QJCQ0Nx7tw50nFaxLacbCgcfI6ysjK/Z1OPHj1w7949GBsbo6KighVHxhrl5eXh0KFDyMvLQ3BwMFRUVHD58mX07NlTqA8VKaKQkWofaGGBalOePn2K48eP49ixY/D394eRkRFmzJiBadOmQV1dnXQ8Pjs7O8yfPx+hoaHo378/OBwOkpOTsXDhQpGa0U56w9OyZcsQFhaGMWPGwMjIiFXNiuLj48EwDGxtbXH69GkoKyvzH5OUlISGhgaxGw1RVVlZ2ex1DocDKSkpSEpKAgAuXrzYmrE+SUZGBubm5qRjCPj9998xffp0VFVVQU5OTuB1w+FwiBYW0tLSBP7eODr43r17BNJ8WocOHaChofFF28obm2KSJCcnByUlJSgpKUFRUREdOnRAt27dSMdqVk5ODg4ePIjw8HC8evUKDg4OpCM1i205MzIyvuj7PrVg0FqGDRuGK1euwNjYGFOmTMGyZcsQFxeHK1euwM7OjnQ8AA07P0aNGoUhQ4bg6tWr2Lx5M1RUVJCRkYEDBw4gKiqKdESRyEi1H/QoBNVmFRQU4OjRozh27Biys7NhZWVFdAW7qRcvXmD27Nm4fPmyQJNJBwcHhIWFCZ3HZyvSDcm6dOmCiIgIjB49msi/35Kmo95cXFywa9cuVpy7bQmbd340JSYm9snikbq6OubMmQNfX19ix3MYhkFUVBTi4+ObfS7Z0Om8T58+GD16NLZs2QIZGRnScUTaoUOHcOrUKRw+fFigeMgmK1asAJfLRXp6OoyMjGBlZQVra2tYWVnxmwezwdu3b3Hy5EmEhobi5s2bqK+vR1BQEObOnQtZWVnS8fjYnLPxPfJTH+3Z0mPh5cuXePfuHdTU1MDj8bB9+3YkJiZCV1cXa9euJT6VBgAsLS0xefJkeHp6CnzeuX37NsaPH48nT56QjigSGan2gxYWqDatvr4ely5dwtq1a5GRkcGKX6YMw6C4uBhdu3bFkydPcP/+fTAMAwMDA1Y31moO6cKCmpoaEhISWPe8ycrKIiMjA9ra2hAXF0dpaalAjwW2Wbp0KX/nR3Nj/YKCggglExQREYHVq1djzpw5GDhwIBiGwe3btxEeHo41a9bgxYsX2L59O3x8fPCf//yHSEZ3d3fs27cPw4cPh6qqqtBzSarTeVOdOnXC3bt3WT+h4EsnqpBkZmaG3Nxc1NbWQkNDQ6gPTWpqKqFkHzQ2F/Tw8ICTkxMMDAxIRxJw69YtHDhwACdOnECfPn0wY8YM/PDDD1BXV0d6ejoMDQ1JRwQgGjmLioq+6Ps0NDT+5SRtg6ysLH9EedPPO4WFhdDX18e7d+9IRxSJjFT7QY9CUG3S9evXceTIEURFReHdu3cYN24ctmzZQjoWgIbCQu/evZGZmYnevXujd+/epCOJLC8vLwQHB2P37t2sOgZhaWmJ8ePHo3///mAYBu7u7i2e+WfDzdHx48dx8uRJ1u38+Fh4eDgCAwMxZcoU/rVx48bB2NgYe/fuRWxsLHr16oXNmzcTKywcPnwYZ86cYfVz6eDggOTkZNYXFsLDw7Ft2zahwsLbt28RERHBitfO+PHjSUf4rLS0NHC5XCQkJCAwMBDi4uL85o02NjbECw2DBw+Gm5sbbt26xboJTk2JQs6vLRj89NNP8PPza7X+Ly0dZ2sOG0ZiKioqoqSkRKjBcVpaGnr06EEolSBRyEi1H7SwQLUp//nPf3Ds2DE8efIEI0eOxM6dOzF+/HhWbfcVExND7969UV5eLvJFBRI38xMmTBD4e1xcHC5duoS+ffsKNXcjte388OHDCAoKQl5eHjgcDv7++29WrxpISkpCV1eXdIzPSkpKQkhIiNB1MzMzJCUlAQCGDh2K4uLi1o7Gp6CgwPob9jFjxsDHxwdZWVnNzrgfN24coWQNGieqMAyD169fQ1pamv9YfX09Ll68yJrjYr6+vqQjfJapqSlMTU35Y2PT09Oxc+dOuLu7g8fjEd/JZ2tri9DQUDx//hwzZ86Eg4MDqwrFjUQl59c4fPgwvL29W62w0NjU+EuQ/n8JANOmTcOKFStw6tQpcDgc8Hg8XL9+Hd7e3kR70TQlChmp9oMWFqg2JSEhAd7e3pg6dSqrOrB/zN/fHz4+PtizZw9rJ1d8CRInqRQUFAT+7uzs3OoZPkdVVRXbtm0D0DDWMTIyEp07dyacqmVs3fnxMXV1dYSGhvKf20ahoaH85njl5eVEz+auX78eGzZswMGDB4lNpvic+fPnAwD8/PyEHmPD+Wu2T1T5WEVFBaKiopCXlwcfHx8oKysjNTUVqqqqrFkxTEtL40+EuHbtGiorK9GvXz8MHz6cdDTExMTg0aNHOHToEBYvXoy3b9/yx7Ky6f1IVHJ+jdb+HR4fH8//urCwECtXrsScOXNgaWkJoKF4HB4ejq1bt7ZqrpZs3rwZc+bMQY8ePcAwDAwNDVFfX49p06ZhzZo1pOMBEI2MVPtBeyxQbVJWVhaKi4tRU1MjcJ30SlwjJSUlVFdXo66uDpKSkkI3IC9fviSUTNijR4/A4XCanarx6NEjqKmpQVxcnECyhi3RPB6Pf665sLAQ586dg4GBAfHu3GzX3M4PZWVlVu38+Nj58+cxefJk6OvrY8CAAeBwOLh9+zays7MRFRWFsWPHYs+ePcjJySE2irC6uhoTJkzA9evXoampKfRcsuHMPdtxuVyRmaiSkZGBESNGQEFBAYWFhXjw4AG0tbWxdu1aFBUVISIignREKCkp4c2bNzA1NeUff7CysmLFVvPmXLlyBQcPHsS5c+fQs2dPTJo0CZMmTWLddBVRyfkpJPsk2dnZYd68efjxxx8Frh89ehT79u1DQkJCq2dqSV5eHtLS0sDj8WBmZsbK3aaikJFq+2hhgWpTCgoK4OzsjIyMDIHOyI2rCaRX4hqFh4d/8vHZs2e3UpLm1dXVYcOGDdi1axfevHkDoKFBkJubG3x9fYVulkixt7fHhAkTsGjRIlRUVEBfXx8SEhIoKyvDjh07sHjxYiK5du3ahQULFkBaWhq7du365Pc2bk9ubS4uLl/8vWxoONiosLAQISEhePjwIRiGgb6+PhYuXAhNTU3S0QAAU6ZMQXx8PCZNmtRs80ZR2DrPFkVFRejZsyexCR9fYsSIETA3N4e/v7/ATdqNGzcwbdo0FBYWko6IP/7444sKCY8fP4aamhprnu9Xr17h8OHDOHjwIGuaLzdHVHI2h2RhQUZGBunp6UI3wA8fPkS/fv1QXV3d6plaUlNTg4KCAujo6KBDB3Zu9haFjFTbRwsLVJvy/fffQ1xcHPv374e2tjZu3bqF8vJyeHl5Yfv27Rg2bBjpiCJh0aJFOHv2LPz8/AS2KK5fvx5OTk7NnnMnoUuXLuByuejbty8OHDiA//3vf0hLS8Pp06exbt063L9/n0guLS0tJCcno3PnzkINlZricDjIz89vxWTNozs/vp1OnTohOjoaQ4cOJR1FgCgUu1pSXV3d7A40ExMTQok+UFBQQGpqKnR0dARu0oqKiqCnp8fq3iofk5eXx507d1jZIyQ1NZW/E6C1Gw5+DVHJ2YhkYUFPTw9jx45FYGCgwHUvLy/88ccfePDgQatn+lh1dTXc3Nz4i0EPHz6EtrY23N3doaamhpUrVxJOKBoZqXaEoag2pHPnzkx6ejrDMAwjLy/PZGdnMwzDMLGxsUy/fv1IRmtRdXU18/fffwv8IU1eXp65ePGi0PWLFy8y8vLyBBI1r2PHjkxRURHDMAwzefJkZv369QzDMExxcTHTsWNHktFEysiRI5k9e/YwDMMwr169YlRVVRl1dXVGWlqa+fXXXwmnE/Tq1SsmOjqaiYyMZMLDwwX+sIGenh7/PYhNNDU1mbKyMv7XLf3R0tIinPSD58+fM2PGjGHExMSa/cMGKioqTGpqKsMwDCMrK8vk5eUxDMMw0dHRjLq6OsloX61pfjaTk5OjOb8Rkj/zCxcuMNLS0kzfvn0ZV1dXxtXVlenbty8jLS3NXLhwgUimj7m7uzP9+/dnrl27xnTq1In/XP3222+s+UwpChmp9oPulaHalPr6esjKygJoWM1++vQp9PT0oKGhwYrqd6OqqiqsWLECJ0+eRHl5udDjpLdSSktLN7u1XFNTE5KSkq0fqAW6uro4d+4cnJ2dER0dDQ8PDwDA8+fPWXt+mI1SU1MRFBQEAIiKioKqqqrAzg9SR0o+9vvvv2P69OmoqqqCnJycwDEDDofDig7YgYGB+PnnnxESEsKa4xlAwzGx5r5ms+XLl+PVq1e4efMmhg8fjrNnz+LZs2fYtGmT0ConKU5OTvDz88PJkycBNPw/LC4uxsqVKzFx4kTC6domRkQ22opCzhkzZhD7XTl69Gjk5ORgz549uH//PhiGgZOTExYtWsRvxkvauXPncOLECQwaNEjg942hoSHy8vIIJvtAFDJS7QctLFBtipGRETIyMqCtrY3vvvsO/v7+kJSUxL59+1i1vfPnn39GfHw8fv31V8yaNQu//PILnjx5gr179wp1vCdhyZIl2LhxIw4dOgQpKSkAwPv377F582YsXbqUcLoP1q1bh2nTpsHDwwN2dnb8YxsxMTEwMzMjnK5BfX09wsLCEBsbi+fPn4PH4wk8HhcXRyjZB9XV1ZCTkwPQ8NxNmDABYmJiGDRoEIqKigin+8DLywtz587Fli1bWDVCtqkZM2aguroaOjo6kJGREepHwqbGrGwXFxeH3377DQMGDICYmBg0NDQwcuRIyMvLY+vWrRgzZgzpiNi+fTtGjx4NFRUVvH37FtbW1igtLYWlpSU2b95MOh7VjmRkZHzx9zYeI9qzZ8+/FeezampqoK6u3uzrpKysjBVHSF68eNHsaNuqqirWTAIRhYxU+0ELC1SbsmbNGlRVVQEANm3ahLFjx2LYsGHo3LkzTpw4QTjdB7///jsiIiJgY2ODuXPnYtiwYdDV1YWGhgaOHDmC6dOnE82XlpaG2NhYqKurw9TUFEDD7POamhrY2dkJTBQgOTFg0qRJGDp0KEpKSvg5gYZu02wZQ7ls2TKEhYVhzJgxMDIyYuUvelHZ+fHkyRO4u7uztqgAADt37iQdoVmenp5f/L2kJmp8rKqqiv+BWVlZGS9evECfPn1gbGzMmuka8vLySExMRFxcHFJTU8Hj8WBubo4RI0aQjka1M/369eM3rf7c7xnSuyKBhka3Z86cEWoW+uzZM9jZ2eHevXuEkn0wYMAAXLhwAW5ubgA+NALfv38/fyGDNFHISLUftLBAtSlNG81pa2sjKysLL1++hJKSEqtu6F6+fMlv6icvL89fxRw6dCgrtp0rKioKbeNly9bEj3Xr1g3dunUTuDZw4EBCaYQdP34cJ0+exOjRo0lHaZEo7PwAGl7fycnJrNp99LEvneiybds2LFq0CIqKiv9uoP8vLS1N4O8pKSmor6+Hnp4egIaGX+Li4ujfv3+r5PkSenp6ePDgATQ1NdGvXz/s3bsXmpqaCAkJQffu3UnHE2BrawtbW1vSMf5P2PQ7kvp6TY84paWlwdvbGz4+PgINmAMDA+Hv708qooCSkhK4uroKTB0qKSmBra0t+vbtSzDZB1u3boWjoyOysrJQV1eH4OBgZGZmIikpCVwul3Q8AKKRkWo/aGGBavOazkBnC21tbRQWFkJDQwOGhoY4efIkBg4ciN9//73VbjQ+hU3jBUWdpKQkdHV1Scf4JFHY+QEAY8aMgY+PD7KysmBsbCx0zGDcuHGEkn29LVu2YMqUKa32eo+Pj+d/vWPHDsjJySE8PBxKSkoAGkbmubi4sGpyzvLly1FSUgKgYUyng4MDjhw5AklJSYSFhZEN10RsbGyLR50OHjxIKNXXE4WeAFTLNDQ0+F9PnjwZu3btEihom5iYoGfPnli7di3Gjx9PIKGgixcvwsrKCh4eHggKCsKTJ09ga2sLU1NTHD9+nHQ8AMDgwYNx48YNBAQEQEdHBzExMTA3N0dSUhKMjY1JxwMgGhmp9oOOm6QoAoKCgiAuLg53d3fEx8djzJgxqK+vR11dHXbs2IFly5aRjkh9I4GBgcjPz8fu3bvpiuD/0cdbZpvicDis2N77pUiOeevRowdiYmKEVgXv3bsHe3t7PH36tNUzfYnq6mpkZ2ejV69erDh/DQAbNmyAn58fLCws0L17d6HX+NmzZwkla1BXVwdpaWncuXMHRkZGn/zeR48eQU1NDeLi4q2U7p9ZvHgxNm7cyJr/Ay0hmbNjx45ITU2FgYGBwPX79+/D3Nwcb9++bfVMzXn8+DGGDh0KZ2dnXLhwAebm5jhy5Ahr/g9Onz4dNjY2sLa2Rp8+fUjHaZYoZKTaD1pYoCgWKC4uRnJyMnR0dARWjFuTubk5YmNjoaSkBDMzs0/eBLPlfDNbNe1BATQ0oVNWVkbfvn2FVtlJ9qigyCFZWJCTk8Nvv/0mtHU/Li4OTk5OeP36datn+pSamhoUFBRAR0cHHTqwa6Nl9+7d4e/vj5kzZ5KO0iIdHR2cOXOG2O+WT/knDQdJEJWcjczNzWFgYIDQ0FBIS0sDaGjAPHfuXNy/f59Vv8NzcnIwdOhQjBw5EpGRkawqwC9cuBBcLhc5OTlQVVWFtbU1rK2tYWNjA319fdLxAIhGRqr9oIUFiiKEbdtnN2zYAB8fH8jIyGDDhg2f/F5fX99WSiWaXFxcvvh76bGT9olkYWHWrFngcrkIDAzEoEGDAAA3b96Ej48PrKysEB4e3uqZmlNdXQ03Nzd+nocPH0JbWxvu7u5QU1PDypUrCScEOnfujFu3bkFHR4d0lBYdOnQIp06dwuHDh1l3NFBMTEwkGg6KSs5Gt27dwvfffw8ejyfQgJnD4eCPP/4g1oeopX5X1dXVkJKSEtipwKYJOqWlpUhISEBCQgK4XC4ePnwIFRUV/lEtNhCFjFTbx67SP0W1E5/bPktCY7Ggvr4eNjY2MDEx4Z+/pr5O02LB27dvwePx0KlTJwBAYWEhzp07BwMDA4Fmo1Tzdu3ahQULFkBaWhq7du365Pe6u7u3UirRFhISAm9vb8yYMQO1tbUAgA4dOsDV1RUBAQGE032watUqpKenIyEhAY6OjvzrI0aMgK+vLysKC/PmzcPRo0exdu1a0lFatGvXLuTm5kJNTQ0aGhr896JGJFevRaXhoKjkbDRw4EAUFBTg8OHDyM7OBsMwmDp1KqZNmyb0829NbJ2a8zlycnJQUlKCkpISFBUV0aFDB6Gm0aSJQkaq7aM7FiiKALZvn5WWlsb9+/f5kyuof87e3h4TJkzAokWLUFFRAX19fUhISKCsrAw7duxgxRQQNtPS0kJycjI6d+78yf+PHA4H+fn5rZjs/4bkjoVGVVVVyMvLA8Mw0NXVJXrD0RwNDQ2cOHECgwYNEni+cnNzYW5ujsrKSiK5mo7u5PF4CA8Ph4mJCUxMTISOOrFhdKeo7EAbOHAg1q9fLzRB5+LFi1i7di1SUlIIJRMkKjmp/7sVK1aAy+UiPT0dRkZGsLKygrW1NaysrFjRaBsQjYxU+0F3LFAUATU1NRg8eDDpGC0yNjZGfn4+LSx8A6mpqQgKCgIAREVFQVVVFWlpaTh9+jTWrVtHCwuf0XSlsOnXom7YsGHo2LEj0QwlJSUoKSmBlZUVOnbs+EXbvFvTixcvoKKiInS9qqqKaM6PR3f269cPQEPzSzZiS+Hgc+7evdvs7xwtLS1kZWURSNQ8UckJAFlZWSguLkZNTY3AdbZM0MnLy8OhQ4eQl5eH4OBgqKio4PLly+jZsycrRk4GBASga9eu8PX1hZOTk1AzTDYQhYxU+0F3LFAUAStWrICsrCxrt8/GxMRgxYoV2LhxI/r37y+0kikvL08omeiRkZHhd7KfMmUK+vbtC19fXzx69Ah6enqorq4mHZH6hlpaRedwOJCSkoKkpGQrJxJWXl6OKVOmID4+HhwOBzk5OdDW1oarqysUFRURGBhIOiIAwNraGpMmTYKbmxvk5OSQkZEBLS0tLF26FLm5ubh8+TLpiCKjoqICUVFRyMvLg4+PD5SVlZGamgpVVVX06NGDdDwAotNwUBRy5ufnw9nZGXfv3uX3hgDAL8ixoQ8El8vFqFGjMGTIEFy9ehX379+HtrY2/P39cevWLURFRZGOiPT0dHC5XCQkJODatWsQFxfnN0a0sbFhxU28KGSk2g9aWKCoViJK22ebjvVrujLYuKLJhg8losLExATz5s2Ds7MzjIyMcPnyZVhaWiIlJQVjxoxBaWkp6Yis1vR18zmkXzfAhyZvLVFXV8ecOXPg6+v7yfGZ/6ZZs2bh+fPnOHDgAAwMDPhHDGJiYuDh4YHMzEwiuT5248YNODo6Yvr06QgLC8PChQuRmZmJpKQkcLlc9O/fn3REzJ07F8HBwZCTkxO4XlVVBTc3NyKNeD+WkZGBESNGQEFBAYWFhXjw4AG0tbWxdu1aFBUVISIignREAOxtOPgxUcj5/fffQ1xcHPv374e2tjZu3bqF8vJyeHl5Yfv27Rg2bBjpiLC0tMTkyZPh6ekpcNTp9u3bGD9+PJ48eUI6opD09HTs3LkThw8fBo/HY+VnIVHISLVd9CgERbWSL90+y4atyIcOHULPnj2FZknzeDwUFxcTSiWa1q1bh2nTpsHDwwN2dnb8Zl8xMTEwMzMjnI79Pn7dpKSkoL6+Hnp6egAaJgWIi4uz4iYTAMLCwrB69WrMmTMHAwcOBMMwuH37NsLDw7FmzRq8ePEC27dvh5SUFP7zn/8QyRgTE4Po6Gioq6sLXO/duzeKioqIZGrO4MGDcePGDQQEBEBHRwcxMTEwNzdHUlISjI2NSccDAISHh2Pbtm1ChYW3b98iIiKCFYUFT09PzJkzB/7+/gI5R40ahWnTphFMJoitDQc/Jgo5k5KSEBcXh65du0JMTAxiYmIYOnQotm7dCnd3d6H3VRLu3r2Lo0ePCl3v2rUrysvLCSRqXlpaGn/awrVr11BZWYl+/fph+PDhpKPxiUJGqn2ghQWKaiXx8fGkI3yxuXPnoqSkROh8c3l5OUaMGIHZs2cTSiZ6Jk2ahKFDh6KkpERgjrydnR2cnZ0JJhMNTV83O3bsgJycHMLDw/kTS169egUXFxdWrMABDTeagYGBmDJlCv/auHHjYGxsjL179yI2Nha9evXC5s2biRUWqqqqICMjI3S9rKwMUlJSBBI1b/r06bCxscHq1avRp08f0nEEVFZWgmEYMAyD169f87fEAw3bzC9evNhsfwgSbt++jb179wpd79GjB+t2TMnIyGDBggWkY3wW23PW19dDVlYWANClSxc8ffoUenp60NDQwIMHDwina6CoqIiSkhKhfhVpaWmsOZ6jpKSEN2/ewNTUFDY2Npg/fz6srKxYdRxUFDJS7QctLFAUJaSlJm5v3rwR+ABNfZlu3boJjX1iw3ZZURMYGIiYmBiBMahKSkrYtGkT7O3t4eXlRTBdg6SkJISEhAhdNzMzQ1JSEgBg6NChRHf+WFlZISIiAhs3bgTQsEuKx+MhICCAVStcsrKyCAwMxKJFi6Cqqgpra2v+2WF9fX2i2RQVFcHhcMDhcJotenA4nM9OY2gt0tLSzfb+ePDgAbp27Uog0aexveFgIzbnNDIyQkZGBrS1tfHdd9/B398fkpKS2LdvH9FJNE1NmzYNK1aswKlTp/jvQdevX4e3tzdmzZpFOh4AIDIykvU36aKQkWo/aGGBoii+xvPsHA4Ha9euFVjVrK+vx19//cU/wkFRra2yshLPnj0T6hb+/PlzvH79mlAqQerq6ggNDcW2bdsEroeGhqJnz54AGnb+NC2OtLaAgADY2NggOTkZNTU1+Pnnn5GZmYmXL1/i+vXrxHJ9rHGVvbS0lL/NNzg4GEuWLIGKigpKSkqIZYuPjwfDMLC1tcXp06ehrKzMf0xSUhIaGhpQU1Mjlq8pJycn+Pn54eTJkwAa3t+Li4uxcuVKTJw4kXC6D0Sh4SAgGjnXrFmDqqoqAMCmTZswduxYDBs2DJ07d8aJEycIp2uwefNmzJkzBz169ADDMDA0NER9fT2mTZuGNWvWkI4HABg7dizpCJ8lChmp9oM2b6Qoiq9xtZLL5cLS0lKgg72kpCQ0NTXh7e2N3r17k4pItWOzZs0Cl8tFYGAgBg0aBAC4efMmfHx8YGVlhfDwcMIJgfPnz2Py5MnQ19fHgAEDwOFwcPv2bWRnZyMqKgpjx47Fnj17kJOTQ7TZZGlpKX799VekpqaCx+PB3NwcS5YsQffu3YllaklVVRUSExP5xYXU1FQYGhqy4px4UVERevbsSawR55eorKzE6NGjkZmZidevX0NNTQ2lpaWwtLTExYsXWdMXQBQaDgKik/NjL1++hJKSEiv6ODWVl5eHtLQ08Hg8mJmZ0c8XFCXCaGGBoighLi4uCA4OplvrKFaprq6Gt7c3Dh48iNraWgBAhw4d4OrqioCAANbcIBUWFiIkJAQPHz4EwzDQ19fHwoULoampSTqaSFmxYgW4XC7S09NhZGQEKysrWFtbw8rKCoqKiqTjCaiurm52W7yJiQmhRMLi4uIECkkjRowgHUlAly5dEBcXBxMTEygoKODWrVvQ09NDXFwcvLy8WFFIAkQnZ6PHjx+Dw+Gwpm/Bx2pqalBQUAAdHR106EA3UlOUKKOFBYqiKEqkVFVVIS8vDwzDQFdXlzUFBVFy7do17N27F/n5+Th16hR69OiByMhIaGlpYejQoaTjAWgY3dm1a1d4eHjAycmJlfPYX7x4ARcXF1y6dKnZx9mwLV5UKCkpISUlBdra2tDR0cGBAwcwfPhw5OXlwdjYGNXV1aQjAhCNnDweD5s2bUJgYCDevHkDAJCTk4OXlxdWr17Nih021dXVcHNz4+80e/jwIbS1teHu7g41NTWsXLmScEKKor4WLQ1SFEVRIqWkpAQlJSWwsrJCx44dW2w2SkpFRQVu3bqF58+fg8fjCTzGhqZkp0+fxsyZMzF9+nSkpqbi/fv3AIDXr19jy5YtuHjxIuGEDdLS0sDlcpGQkIDAwECIi4vzmzfa2NiwotCwfPlyvHr1Cjdv3sTw4cNx9uxZPHv2jH9TxxaxsbGIjY1t9v8kG0ZiAqLRcBAQjZyrV6/m93oZMmQIGIbB9evXsX79erx79w6bN28mHRGrVq1Ceno6EhIS4OjoyL8+YsQI+Pr60sICRYkgumOBoiiKEgnl5eWYMmUK4uPjweFwkJOTA21tbbi6ukJRUZEVN3K///47pk+fjqqqKsjJyQkUPDgcDl6+fEkwXQMzMzN4eHhg1qxZkJOTQ3p6OrS1tXHnzh04OjqybgRho/T0dOzcuROHDx8Gj8djxW6A7t2747fffsPAgQMhLy+P5ORk9OnTB+fPn4e/vz8SExNJR8SGDRvg5+cHCwsLdO/eXagId/bsWULJBEVHR6OqqgoTJkxAfn4+xo4di+zsbH7DQVtbW9IRAYhGTjU1NYSEhAhNqPjtt9/w008/4cmTJ4SSfaChoYETJ05g0KBBAu9Dubm5MDc3b3aSCUVR7EZ3LFAURVEiwcPDAxISEiguLhZYrZ46dSo8PDxYUVjw8vLC3LlzsWXLFoGpKmzy4MEDWFlZCV2Xl5dHRUVF6wf6hLS0NH7TxmvXrqGyshL9+vVjzVjMqqoqqKioAACUlZXx4sUL9OnTB8bGxkhNTSWcrkFISAjCwsIwc+ZM0lE+ycHBgf+1trY2srKyWNlwUBRyvnz5stmRrPr6+qwobgINx4gaXztNVVVVseZ5pCjq65A/ZEVRFEVRXyAmJgb//e9/oa6uLnC9d+/eKCoqIpRK0JMnT+Du7s7aogLQsMqem5srdD0xMZE1W7mBhrPsAwcOxJEjR9C7d29ERETg5cuXSE5ORkBAAOl4AAA9PT08ePAAANCvXz/s3bsXT548QUhICGsmbNTU1GDw4MGkY3yVx48f48mTJ1BWVmb1TSZbc5qammL37t1C13fv3g1TU1MCiYQNGDAAFy5c4P+98fnbv38/LC0tScWiKOr/gO5YoCiKokRCVVVVszfsZWVlkJKSIpBImIODA5KTk1l1g/6xhQsXYtmyZTh48CA4HA6ePn2KpKQkeHt7Y926daTj8UVGRsLKyorV02mWL1+OkpISAICvry8cHBxw5MgRSEpKIiwsjGy4/2/evHk4evQo1q5dSzrKJ4lCw0FANHIGBARg9OjR+PPPP2FpaQkOh4MbN27g0aNHrOmhsnXrVjg6OiIrKwt1dXUIDg5GZmYmkpKSwOVyScejKOofoD0WKIqiKJEwZswYmJubY+PGjZCTk0NGRgY0NDTwww8/gMfjISoqinREhIaGws/PDy4uLjA2NoaEhITA4x+feSZl9erVCAoKwrt37wAAUlJS8Pb2xsaNGwknE23V1dXIzs5Gr1690KVLF2I5PD09+V/zeDyEh4fDxMQEJiYmQv8nd+zY0drxmrVq1SqEhoZiw4YNQg0H58+fz4qGgwD7c9bW1sLe3h6bN2/GhQsXkJ2dDYZhYGhoiJ9++glqampE8zV17949BAQEICUlhT8GdcWKFTA2NiYdjaKof4AWFiiKoiiRkJWVBRsbG/Tv3x9xcXEYN24cMjMz8fLlS1y/fh06OjqkI35ytZLD4bCi4WCj6upqZGVlgcfjwdDQELKysqQjiayamhoUFBRAR0cHHTqQ3wz6NT0o4uPj/8UkX04UGg4CopGza9euuHHjBnr37k06SoumT58OGxsbWFtbo0+fPqTjUBT1DdDCAkVRFCUySktL8euvvyI1NZW/wrVkyRLWnGcXNY8ePQKHwxHqW0F9merqari5uSE8PBwA8PDhQ2hra8Pd3R1qamp0ZN5XkJaWRkZGhtBN5oMHD9CvXz+8ffuWUDJBopDTy8sLEhIS2LZtG+koLVq4cCG4XC5ycnKgqqoKa2tr/jjZ5hpPUhTFfrSwQFEURVHtSF1dHTZs2IBdu3bxz4jLysrCzc0Nvr6+QlvlqZYtW7YM169fx86dO+Ho6IiMjAxoa2vj/Pnz8PX1RVpaGumImDt3LoKDgyEnJydwvaqqCm5ubjh48CChZIK+++47fPfdd9i1a5fAdTc3N9y+fRs3b94klEyQKOR0c3NDREQEdHV1YWFhgU6dOgk8zpbjL0BDsbhx8guXy8XDhw+hoqLC711CUZTooIUFiqIoSmRcu3YNe/fuRX5+Pk6dOoUePXogMjISWlpaGDp0KJFMu3btwoIFCyAtLS10s/Exd3f3VkrVskWLFuHs2bPw8/Pjd19PSkrC+vXr4eTkhJCQEMIJRYeGhgZOnDiBQYMGQU5ODunp6dDW1kZubi7Mzc1RWVlJOiLExcVRUlIiNNqvrKwM3bp1Q11dHaFkgq5evYrRo0ejV69ezTYcHDZsGOmIAEQj56eOwnA4HMTFxbVimk+rqqpCYmIiv7iQmpoKQ0NDVhTlKIr6OrSwQFEURYmE06dPY+bMmZg+fToiIyORlZUFbW1t/Prrr/jjjz+IdTvX0tJCcnIyOnfuDC0trRa/j8PhID8/vxWTNU9BQQHHjx/HqFGjBK5funQJP/zwA/7++29CyUSPjIwM7t27B21tbYHCQnp6OqysrIg+l5WVlWAYBkpKSsjJyUHXrl35j9XX1+P333/HypUr8fTpU2IZG4lKw0FRySkKVqxYAS6Xi/T0dBgZGcHKygrW1tawsrKCoqIi6XgURf0DtLBAURRFiQQzMzN4eHhg1qxZAjdxd+7cgaOjI0pLS0lHFAmqqqpISEiAgYGBwPX79+/DysoKL168IJRM9FhbW2PSpElwc3PjTyrR0tLC0qVLkZubi8uXLxPLJiYmBg6H0+LjHA4HGzZswOrVq1sxVctEoeEgIDo52U5MTAxdu3aFh4cHnJychN6PKIoSPeRbF1MURVHUF3jw4AGsrKyErsvLy6OioqL1A4moJUuWYOPGjTh06BCkpKQAAO/fv8fmzZuxdOlSwulEy9atW+Ho6IisrCzU1dUhODgYmZmZSEpKApfLJZotPj4eDMPA1tYWp0+fhrKyMv8xSUlJaGhosGqFfdasWQgNDWV1w0FAdHKyXVpaGrhcLhISEhAYGAhxcXF+80YbGxtaaKAoEUQLCxRFUZRI6N69O3Jzc6GpqSlwPTExEdra2mRCAfD09Pzi72VD07S0tDTExsZCXV0dpqamAID09HTU1NTAzs4OEyZM4H/vmTNnSMUUCYMHD8aNGzcQEBAAHR0dxMTEwNzcHElJSTA2NiaazdraGgBQUFCAnj17fnIUKhvU1NTgwIEDuHLlCqsbDopKTrYzNTWFqakpv+9Meno6du7cCXd3d/B4PFaN5qUo6svQwgJFURQlEhYuXIhly5bh4MGD4HA4ePr0KZKSkuDt7Y1169YRy/Vxk7GUlBTU19dDT08PQMMIQnFxcfTv359EPCGKioqYOHGiwLWePXsSSiPapk+fDhsbG6xevVpo/CBbaGhoAGgYjVlcXIyamhqBx01MTEjEEnLv3j2Ym5sDaHjNNPWpIx2tTVRyioK0tDR+08Zr166hsrIS/fr1+2TzSYqi2Iv2WKAoiqJExurVqxEUFIR3794BAKSkpODt7Y2NGzcSTtZgx44dSEhIQHh4OJSUlAAAr169gouLC4YNGwYvLy/CCYG3b9+Cx+PxV1oLCwtx7tw5GBgYwMHBgXA60bJw4UJwuVzk5ORAVVUV1tbW/O3c+vr6pOMBAF68eAEXFxdcunSp2cfpyjBFgpKSEt68eQNTU1P+8QcrKyvIy8uTjkZR1D9ECwsURVGUSKmurkZWVhZ4PB4MDQ0hKytLOhJfjx49EBMTg759+wpcv3fvHuzt7VnRgd/e3h4TJkzAokWLUFFRAX19fUhISKCsrAw7duzA4sWLSUcUOaWlpfyVVy6Xi4cPH0JFRQUlJSWko2H69OkoLCzEzp07MXz4cJw9exbPnj3Dpk2bEBgYiDFjxpCOSLVDf/zxBy0kUFQbw+4DdxRFURT1ERkZGaiqqkJNTY1VRQWgYcTfs2fPhK4/f/4cr1+/JpBIWGpqKoYNGwYAiIqKgqqqKoqKihAREYFdu3YRTiea5OTkoKSkBCUlJSgqKqJDhw7o1q0b6VgAgLi4OAQFBWHAgAEQExODhoYGZsyYAX9/f2zdupV0PKqdGjt2LC0qUFQbQwsLFEVRlEioq6vD2rVroaCgAE1NTWhoaEBBQQFr1qxBbW0t6XgAAGdnZ7i4uCAqKgqPHz/G48ePERUVBVdXV4GmiCRVV1dDTk4OABATE4MJEyZATEwMgwYNQlFREeF0omXFihUYNGgQunTpgjVr1qCmpgarVq3Cs2fPhHpvkFJVVQUVFRUAgLKyMn+cqLGxMVJTU0lGoyiKotoQ2ryRoiiKEglLly7F2bNn4e/vD0tLSwBAUlIS1q9fj7KyMoSEhBBOCISEhMDb2xszZszgFzs6dOgAV1dXBAQEEE7XQFdXF+fOnYOzszOio6Ph4eEBoGFXBV1B/DoBAQHo2rUrfH194eTkxMoReXp6enjw4AE0NTXRr18/7N27F5qamggJCUH37t1Jx6MoiqLaCNpjgaIoihIJCgoKOH78OEaNGiVw/dKlS/jhhx/w999/E0omrKqqCnl5eWAYBrq6ukIj6UiKiorCtGnTUF9fDzs7O8TExAAAtm7diqtXr7bY5I8Slp6eDi6Xy+9qLy4uzm/eaGNjw4pCw5EjR1BbW4s5c+YgLS0NDg4OKC8vh6SkJMLCwjB16lTSESmKoqg2gBYWKIqiKJGgqqqKhIQEoZu1+/fvw8rKir/Fmw1yc3ORl5cHKysrdOzYEQzDsGoUXWlpKUpKSmBqagoxsYZTkbdu3YK8vDxrphmIovT0dOzcuROHDx8Gj8dj5cSF6upqZGdno1evXujSpQvpOBRFUVQbQQsLFEVRlEjw8/NDdnY2Dh06BCkpKQDA+/fv4erqit69e8PX15dwQqC8vBxTpkxBfHw8OBwOcnJyoK2tDVdXVygqKiIwMJB0ROobS0tL40+EuHbtGiorK9GvXz8MHz6cNcdfAKCmpgYFBQXQ0dFBhw70JCxFURT1bdHCAkVRFCUSnJ2dERsbCykpKZiamgJoWCGuqamBnZ2dwPeeOXOGRETMmjULz58/x4EDB2BgYID09HRoa2sjJiYGHh4eyMzMJJKL+ncoKSnhzZs3MDU15R9/YNsIverqari5uSE8PBwA8PDhQ2hra8Pd3R1qampYuXIl4YQURVFUW0BL1hRFUZRIUFRUxMSJEwWu9ezZk1Ca5sXExCA6Ohrq6uoC13v37k0nLrRBkZGRrCskfGzVqlVIT09HQkICHB0d+ddHjBgBX19fWligKIqivglaWKAoiqJEwq+//goej8dvhFhYWIhz587BwMAADg4OhNM1qKqqgoyMjND1srIy/vENqu0YO3Ys6Qifde7cOZw4cQKDBg0S6PNhaGiIvLw8gskoiqKotkSMdACKoiiK+hJOTk6IjIwEAFRUVGDQoEEIDAzE+PHjsWfPHsLpGlhZWSEiIoL/dw6HAx6Ph4CAAAwfPpxgMqq9evHiBVRUVISuV1VVsaqhKEVRFCXaaGGBoiiKEgmpqakYNmwYgIaRiaqqqigqKkJERAR27dpFOF2DgIAA7N27F6NGjUJNTQ1+/vlnGBkZ4erVq/jvf/9LOh7VDg0YMAAXLlzg/72xmLB//35YWlqSikVRFEW1MfQoBEVRFCUSqqurIScnB6Chl8GECRMgJiaGQYMGsaZ/gaGhITIyMvDrr79CXFwcVVVVmDBhApYsWYLu3buTjke1Q1u3boWjoyOysrJQV1eH4OBgZGZmIikpCVwul3Q8iqIoqo2gUyEoiqIokWBiYoJ58+bB2dkZRkZGuHz5MiwtLZGSkoIxY8agtLSUdESKYqV79+4hICAAKSkp4PF4MDc3x4oVK2BsbEw6GkVRFNVG0MICRVEUJRKioqIwbdo01NfXw87ODjExMQAaVmSvXr2KS5cuEU7Y4Nq1a9i7dy/y8/Nx6tQp9OjRA5GRkdDS0sLQoUNJx6PamenTp8PGxgbW1tbo06cP6TgURVFUG0V7LFAURVEiYdKkSSguLkZycjIuX77Mv25nZ4egoCCCyT44ffo0HBwc0LFjR6SmpuL9+/cAgNevX2PLli2E01HtkaysLAIDA2FgYAA1NTX8+OOPCAkJQXZ2NuloFEVRVBtCdyxQFEVR1DdiZmYGDw8PzJo1C3JyckhPT4e2tjbu3LkDR0dHelyDIqa0tBQJCQlISEgAl8vFw4cPoaKigpKSEtLRKIqiqDaA7ligKIqiqG/kwYMHsLKyErouLy+PioqK1g9EUf+fnJwclJSUoKSkBEVFRXTo0AHdunUjHYuiKIpqI2hhgaIoiqK+ke7duyM3N1foemJiIrS1tQkkotq7FStWYNCgQejSpQvWrFmDmpoarFq1Cs+ePUNaWhrpeBRFUVQbQcdNUhRFUdQ3snDhQixbtgwHDx4Eh8PB06dPkZSUBG9vb6xbt450PKodCggIQNeuXeHr6wsnJycYGBiQjkRRFEW1QbTHAkVRFEV9Q6tXr0ZQUBDevXsHAJCSkoK3tzc2btxIOBnVHqWnp4PL5SIhIQHXrl2DuLg4rK2tYWNjAxsbG1pooCiKor4JWligKIqiqG+suroaWVlZ4PF4MDQ0hKysLOlIFAWgodCwc+dOHD58GDweD/X19aQjURRFUW0APQpBURRFUd+YjIwMVFVVweFwaFGBIi4tLY0/EeLatWuorKxEv379MHz4cNLRKIqiqDaC7ligKIqiqG+krq4OGzZswK5du/DmzRsAgKysLNzc3ODr6wsJCQnCCan2RklJCW/evIGpqSn/+IOVlRXk5eVJR6MoiqLaELpjgaIoiqK+kaVLl+Ls2bPw9/eHpaUlACApKQnr169HWVkZQkJCCCek2pvIyEhaSKAoiqL+dXTHAkVRFEV9IwoKCjh+/DhGjRolcP3SpUv44Ycf8PfffxNKRlEURVEU9e8RIx2AoiiKotoKaWlpaGpqCl3X1NSEpKRk6weiKIqiKIpqBbSwQFEURVHfyJIlS7Bx40a8f/+ef+39+/fYvHkzli5dSjAZRVEURVHUv4cehaAoiqKob8TZ2RmxsbGQkpKCqakpgIbxfjU1NbCzsxP43jNnzpCISFEURVEU9c3R5o0URVEU9Y0oKipi4sSJAtd69uxJKA1FURRFUVTroDsWKIqiKOobefv2LXg8Hjp16gQAKCwsxLlz52BgYAAHBwfC6SiKoiiKov4dtMcCRVEURX0jTk5OiIyMBABUVFRg0KBBCAwMxPjx47Fnzx7C6SiKoiiKov4dtLBAURRFUd9Iamoqhg0bBgCIioqCqqoqioqKEBERgV27dhFOR1EURVEU9e+ghQWKoiiK+kaqq6shJycHAIiJicGECRMgJiaGQYMGoaioiHA6iqIoiqKofwctLFAURVHUN6Krq4tz587h0aNHiI6Ohr29PQDg+fPnkJeXJ5yOoiiKoijq30ELCxRFURT1jaxbtw7e3t7Q1NTEd999B0tLSwANuxfMzMwIp6MoiqIoivp30KkQFEVRFPUNlZaWoqSkBKamphATa6jf37p1C/Ly8tDX1yecjqIoiqIo6tujhQWKoiiKoiiKoiiKov4xehSCoiiKoiiKoiiKoqh/jBYWKIqiKIqiKIqiKIr6x2hhgaIoiqIoiqIoiqKof4wWFiiKoiiKoiiKoiiK+sdoYYGiKIqiKIqiKIqiqH+MFhYoiqIoiqIoiqIoivrHaGGBoiiKoiiKoiiKoqh/7P8BbK6bg1ZQPiwAAAAASUVORK5CYII=",
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",
       "text/plain": [
        "<Figure size 1200x1000 with 2 Axes>"
       ]
@@ -1180,7 +1320,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 176,
    "id": "b748cb80",
    "metadata": {},
    "outputs": [
@@ -1188,7 +1328,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\Users\\yann\\AppData\\Local\\Temp\\ipykernel_15840\\146936503.py:6: FutureWarning: \n",
+      "C:\\Users\\yann\\AppData\\Local\\Temp\\ipykernel_7304\\146936503.py:6: FutureWarning: \n",
       "\n",
       "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
       "\n",
@@ -1209,7 +1349,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\Users\\yann\\AppData\\Local\\Temp\\ipykernel_15840\\146936503.py:6: FutureWarning: \n",
+      "C:\\Users\\yann\\AppData\\Local\\Temp\\ipykernel_7304\\146936503.py:6: FutureWarning: \n",
       "\n",
       "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
       "\n",
@@ -1230,7 +1370,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\Users\\yann\\AppData\\Local\\Temp\\ipykernel_15840\\146936503.py:6: FutureWarning: \n",
+      "C:\\Users\\yann\\AppData\\Local\\Temp\\ipykernel_7304\\146936503.py:6: FutureWarning: \n",
       "\n",
       "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
       "\n",
@@ -1251,7 +1391,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\Users\\yann\\AppData\\Local\\Temp\\ipykernel_15840\\146936503.py:6: FutureWarning: \n",
+      "C:\\Users\\yann\\AppData\\Local\\Temp\\ipykernel_7304\\146936503.py:6: FutureWarning: \n",
       "\n",
       "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
       "\n",
@@ -1272,7 +1412,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\Users\\yann\\AppData\\Local\\Temp\\ipykernel_15840\\146936503.py:6: FutureWarning: \n",
+      "C:\\Users\\yann\\AppData\\Local\\Temp\\ipykernel_7304\\146936503.py:6: FutureWarning: \n",
       "\n",
       "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
       "\n",
@@ -1322,7 +1462,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 177,
    "id": "19c7e28c",
    "metadata": {},
    "outputs": [
@@ -1331,42 +1471,42 @@
      "output_type": "stream",
      "text": [
       "Entfernte Variablen und zugehörige p-Werte:\n",
-      "weekday_Mo-Fr: p=1.0000\n",
-      "trip_distance: p=0.7961\n",
       "road_Autobahn: p=1.0000\n",
-      "road_Innerorts: p=0.7788\n",
-      "speeding_haeufig: p=1.0000\n",
-      "weekday_Sa: p=0.6861\n",
+      "weekday_Mo-Fr: p=1.0000\n",
       "weather_winterlich: p=1.0000\n",
-      "shift_normal: p=1.0000\n",
-      "shift_frueh: p=0.9369\n",
-      "shift_spaet: p=0.7977\n",
-      "road_Außerorts: p=0.5723\n",
-      "speeding_selten: p=0.4000\n",
-      "weekday_So: p=0.2843\n",
+      "road_Innerorts: p=0.9915\n",
+      "road_Außerorts: p=0.7254\n",
+      "trip_distance: p=0.6943\n",
+      "weekday_So: p=0.6043\n",
+      "speeding_selten: p=1.0000\n",
+      "shift_spaet: p=1.0000\n",
+      "weekday_Sa: p=0.4605\n",
+      "weather_nass: p=0.2285\n",
+      "weather_trocken: p=0.6093\n",
       "\n",
       "Verbleibende Variablen im Modell:\n",
-      "['avg_speed', 'hard_brakes', 'speeding_manchmal', 'weather_nass', 'weather_trocken']\n",
+      "['const', 'avg_speed', 'hard_brakes', 'shift_frueh', 'shift_normal', 'speeding_haeufig', 'speeding_manchmal']\n",
       "\n",
       "Zusammenfassung des finalen Modells:\n",
       "                           Logit Regression Results                           \n",
       "==============================================================================\n",
       "Dep. Variable:                      y   No. Observations:                14000\n",
-      "Model:                          Logit   Df Residuals:                    13994\n",
-      "Method:                           MLE   Df Model:                            5\n",
-      "Date:                Thu, 12 Jun 2025   Pseudo R-squ.:                0.006879\n",
-      "Time:                        14:40:25   Log-Likelihood:                -8108.5\n",
-      "converged:                       True   LL-Null:                       -8164.6\n",
-      "Covariance Type:            nonrobust   LLR p-value:                 1.314e-22\n",
+      "Model:                          Logit   Df Residuals:                    13993\n",
+      "Method:                           MLE   Df Model:                            6\n",
+      "Date:                Fri, 13 Jun 2025   Pseudo R-squ.:                 0.04892\n",
+      "Time:                        15:26:41   Log-Likelihood:                -7127.3\n",
+      "converged:                       True   LL-Null:                       -7493.9\n",
+      "Covariance Type:            nonrobust   LLR p-value:                4.293e-155\n",
       "=====================================================================================\n",
       "                        coef    std err          z      P>|z|      [0.025      0.975]\n",
       "-------------------------------------------------------------------------------------\n",
-      "const                -1.6939      0.127    -13.365      0.000      -1.942      -1.445\n",
-      "avg_speed             0.0157      0.002      8.231      0.000       0.012       0.019\n",
-      "hard_brakes           0.0781      0.013      5.794      0.000       0.052       0.105\n",
-      "speeding_manchmal    -0.0845      0.041     -2.059      0.040      -0.165      -0.004\n",
-      "weather_nass         -0.2496      0.093     -2.670      0.008      -0.433      -0.066\n",
-      "weather_trocken      -0.1701      0.086     -1.987      0.047      -0.338      -0.002\n",
+      "const                -1.0511      0.113     -9.323      0.000      -1.272      -0.830\n",
+      "avg_speed             0.0174      0.002      8.369      0.000       0.013       0.021\n",
+      "hard_brakes           0.0817      0.015      5.584      0.000       0.053       0.110\n",
+      "shift_frueh          -0.8151      0.053    -15.281      0.000      -0.920      -0.711\n",
+      "shift_normal         -0.8082      0.053    -15.242      0.000      -0.912      -0.704\n",
+      "speeding_haeufig     -0.8379      0.050    -16.906      0.000      -0.935      -0.741\n",
+      "speeding_manchmal    -0.8340      0.051    -16.288      0.000      -0.934      -0.734\n",
       "=====================================================================================\n"
      ]
     }
@@ -1415,7 +1555,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 178,
    "id": "6641f80c",
    "metadata": {},
    "outputs": [
@@ -1425,12 +1565,13 @@
      "text": [
       "\n",
       "Modellkoeffizienten:\n",
-      "const               -1.693856\n",
-      "avg_speed            0.015739\n",
-      "hard_brakes          0.078115\n",
-      "speeding_manchmal   -0.084460\n",
-      "weather_nass        -0.249625\n",
-      "weather_trocken     -0.170069\n",
+      "const               -1.051133\n",
+      "avg_speed            0.017392\n",
+      "hard_brakes          0.081747\n",
+      "shift_frueh         -0.815083\n",
+      "shift_normal        -0.808237\n",
+      "speeding_haeufig    -0.837906\n",
+      "speeding_manchmal   -0.833977\n",
       "dtype: float64\n"
      ]
     }
@@ -1454,7 +1595,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "id": "0541fa09",
    "metadata": {},
    "outputs": [
@@ -1464,35 +1605,51 @@
      "text": [
       "Vergleich der geschätzten und wahren Koeffizienten:\n",
       "                    Geschätzte Koeffizienten  Wahre Koeffizienten\n",
-      "avg_speed                           0.015739                0.015\n",
-      "const                              -1.693856                  NaN\n",
-      "hard_brakes                         0.078115                0.100\n",
+      "avg_speed                           0.017392                0.015\n",
+      "const                              -1.051133               -2.000\n",
+      "hard_brakes                         0.081747                0.100\n",
       "road_Autobahn                            NaN                0.000\n",
-      "shift_frueh                              NaN                0.050\n",
-      "shift_normal                             NaN                0.075\n",
-      "shift_spaet                              NaN                0.050\n",
-      "speeding_haeufig                         NaN                0.075\n",
-      "speeding_manchmal                  -0.084460                0.000\n",
-      "speeding_selten                          NaN                0.000\n",
+      "road_Außerorts                           NaN                0.000\n",
+      "road_Innerorts                           NaN                0.000\n",
+      "shift_frueh                        -0.815083                0.500\n",
+      "shift_normal                       -0.808237                0.300\n",
+      "shift_spaet                              NaN                0.300\n",
+      "speeding_haeufig                   -0.837906                0.300\n",
+      "speeding_manchmal                  -0.833977                0.300\n",
+      "speeding_selten                          NaN                0.500\n",
       "trip_distance                            NaN                0.000\n",
-      "weather_nass                       -0.249625                0.000\n",
-      "weather_trocken                    -0.170069                0.000\n",
-      "weather_winterlich                       NaN                0.000\n"
+      "weather_nass                             NaN                0.000\n",
+      "weather_trocken                          NaN                0.000\n",
+      "weather_winterlich                       NaN                0.000\n",
+      "weekday_Mo-Fr                            NaN                0.000\n",
+      "weekday_Sa                               NaN                0.000\n",
+      "weekday_So                               NaN                0.000\n"
      ]
     }
    ],
    "source": [
     "# Tatsächliche Betas aus der Generierung (siehe oben)\n",
     "true_betas = pd.Series([\n",
+    "    -2,        # konstante\n",
     "    0.015,     # avg_speed\n",
-    "    0.1,      # hard_brakes\n",
-    "    0.,     # trip_distance\n",
-    "    0.05, 0.075,            # shift_dummies\n",
-    "    0.05, 0.075,            # speeding_dummies\n",
-    "    0., 0.,            # weather_dummies\n",
-    "    0., 0.,            # road_dummies\n",
-    "    0., 0.             # weekday_dummies\n",
-    "], index=X_train.columns[:13])  # Die Reihenfolge entspricht der Generierung\n",
+    "    0.1,       # hard_brakes\n",
+    "    0.,        # trip_distance\n",
+    "    0.5,      # shift_frueh (erklärend)\n",
+    "    -0.3,      # shift_normal (erklärend)\n",
+    "    -0.3,      # shift_spaet (erklärend)\n",
+    "    -0.3,      # speeding_selten (erklärend)\n",
+    "    -0.3,      # speeding_manchmal (erklärend)\n",
+    "    0.5,      # speeding_haeufig (erklärend)\n",
+    "    0.,        # weather_nass\n",
+    "    0.,        # weather_trocken\n",
+    "    0.,        # weather_winterlich\n",
+    "    0.,        # road_Außerorts\n",
+    "    0.,        # road_Autobahn\n",
+    "    0.,        # road_Innerorts\n",
+    "    0.,        # weekday_Mo-Fr\n",
+    "    0.,        # weekday_Sa\n",
+    "    0.         # weekday_So\n",
+    "], index=X_train.columns[:19])\n",
     "\n",
     "print(\"Vergleich der geschätzten und wahren Koeffizienten:\")\n",
     "comparison = pd.DataFrame({\n",
@@ -1528,7 +1685,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 180,
    "id": "616ae484",
    "metadata": {},
    "outputs": [
@@ -1592,15568 +1749,7 @@
       "Please also refer to the documentation for alternative solver options:\n",
       "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
       "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "Stichprobenumfang:  10%|█         | 1/10 [03:03<27:30, 183.40s/it]c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "Stichprobenumfang:  10%|█         | 1/10 [03:03<27:30, 183.40s/it]c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "Stichprobenumfang:  20%|██        | 2/10 [06:34<26:35, 199.42s/it]c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "c:\\Users\\yann\\anaconda3\\envs\\hft_ml\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
-      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
-      "\n",
-      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n",
-      "Stichprobenumfang: 100%|██████████| 10/10 [1:00:28<00:00, 362.82s/it]\n",
-      "Stichprobenumfang: 100%|██████████| 10/10 [1:00:28<00:00, 362.82s/it]\n"
+      "Stichprobenumfang: 100%|██████████| 10/10 [00:25<00:00,  2.52s/it]\n"
      ]
     }
    ],
@@ -17165,7 +1761,7 @@
     "from tqdm import tqdm\n",
     "from sklearn.linear_model import LogisticRegression\n",
     "\n",
-    "k = 1000\n",
+    "k = 10\n",
     "n_values = np.arange(1000, 50001, 5000)\n",
     "beta_name = 'avg_speed'\n",
     "\n",
@@ -17202,24 +1798,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 181,
    "id": "b0bb7329",
    "metadata": {},
    "outputs": [
-    {
-     "ename": "KeyError",
-     "evalue": "10000",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
-      "Cell \u001b[1;32mIn[18], line 3\u001b[0m\n\u001b[0;32m      1\u001b[0m plt\u001b[38;5;241m.\u001b[39mfigure(figsize\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m12\u001b[39m, \u001b[38;5;241m6\u001b[39m))\n\u001b[0;32m      2\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m n \u001b[38;5;129;01min\u001b[39;00m [\u001b[38;5;241m1000\u001b[39m, \u001b[38;5;241m10000\u001b[39m, \u001b[38;5;241m50000\u001b[39m]:\n\u001b[1;32m----> 3\u001b[0m     sns\u001b[38;5;241m.\u001b[39mkdeplot(betas_by_n[n][\u001b[38;5;241m~\u001b[39mnp\u001b[38;5;241m.\u001b[39misnan(betas_by_n[n])], label\u001b[38;5;241m=\u001b[39m\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mn=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mn\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m      4\u001b[0m plt\u001b[38;5;241m.\u001b[39mtitle(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mVerteilung des geschätzten Beta-Werts für avg_speed bei verschiedenen Stichprobenumfängen\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m      5\u001b[0m plt\u001b[38;5;241m.\u001b[39mxlabel(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mGeschätzter Beta-Wert für avg_speed\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
-      "\u001b[1;31mKeyError\u001b[0m: 10000"
-     ]
-    },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1200x600 with 1 Axes>"
       ]
@@ -17230,7 +1815,8 @@
    ],
    "source": [
     "plt.figure(figsize=(12, 6))\n",
-    "for n in [1000, 10000, 50000]:\n",
+    "# Use only available keys from betas_by_n\n",
+    "for n in [1000, 11000, 46000]:\n",
     "    sns.kdeplot(betas_by_n[n][~np.isnan(betas_by_n[n])], label=f\"n={n}\")\n",
     "plt.title(\"Verteilung des geschätzten Beta-Werts für avg_speed bei verschiedenen Stichprobenumfängen\")\n",
     "plt.xlabel(\"Geschätzter Beta-Wert für avg_speed\")\n",
@@ -17261,10 +1847,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 182,
    "id": "cf7a7e61",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "stds = np.array([np.nanstd(betas_by_n[n]) for n in n_values])\n",
     "\n",
@@ -17284,10 +1881,14 @@
    "id": "10afcd69",
    "metadata": {},
    "source": [
-    "**Fazit:**\n",
-    "\n",
     "Die Standardabweichung der Schätzung eines Modellparameters nimmt mit wachsendem Stichprobenumfang näherungsweise proportional zu $1/\\sqrt{n}$ ab. Das bedeutet: Je mehr Daten zur Verfügung stehen, desto präziser und stabiler werden die Parameterschätzungen. Die Lernqualität eines Modells steigt also mit der Datenmenge, wobei der Zugewinn mit zunehmender Datenmenge abnimmt (abnehmender Grenznutzen)."
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ca39ff07",
+   "metadata": {},
+   "source": []
   }
  ],
  "metadata": {