diff --git a/_images/5a8499c8457bebcd85ed93f9b8c873e117cc6075056a72cb69b14d545ff786dc.png b/_images/5a8499c8457bebcd85ed93f9b8c873e117cc6075056a72cb69b14d545ff786dc.png
new file mode 100644
index 0000000..c0f9fd0
Binary files /dev/null and b/_images/5a8499c8457bebcd85ed93f9b8c873e117cc6075056a72cb69b14d545ff786dc.png differ
diff --git a/_images/5ba8227a9e8d225c25cd9b9c819610ec41de3ce74d40205ce41e2ce909254e6d.png b/_images/5ba8227a9e8d225c25cd9b9c819610ec41de3ce74d40205ce41e2ce909254e6d.png
new file mode 100644
index 0000000..340dc90
Binary files /dev/null and b/_images/5ba8227a9e8d225c25cd9b9c819610ec41de3ce74d40205ce41e2ce909254e6d.png differ
diff --git a/_images/7223e773cbadb77981275668076fd8b598d1896c8f8684dd0ed7e4433a5835f4.png b/_images/7223e773cbadb77981275668076fd8b598d1896c8f8684dd0ed7e4433a5835f4.png
new file mode 100644
index 0000000..d8c8958
Binary files /dev/null and b/_images/7223e773cbadb77981275668076fd8b598d1896c8f8684dd0ed7e4433a5835f4.png differ
diff --git a/_images/a99b49081b28890e9e721b1cc202f8dcd0d80b49ae50de01f10b5b12386b3c60.png b/_images/a99b49081b28890e9e721b1cc202f8dcd0d80b49ae50de01f10b5b12386b3c60.png
new file mode 100644
index 0000000..1874f79
Binary files /dev/null and b/_images/a99b49081b28890e9e721b1cc202f8dcd0d80b49ae50de01f10b5b12386b3c60.png differ
diff --git a/_images/c78df450bb22e3e9f8b73099149ff949bbe9911b14991ccb4b5549e617072e96.png b/_images/c78df450bb22e3e9f8b73099149ff949bbe9911b14991ccb4b5549e617072e96.png
new file mode 100644
index 0000000..608a7d9
Binary files /dev/null and b/_images/c78df450bb22e3e9f8b73099149ff949bbe9911b14991ccb4b5549e617072e96.png differ
diff --git a/_images/e2fbe152d5cbb22abce858b1950883edf4f4a1295ffabb5b8d55558ef031c635.png b/_images/e2fbe152d5cbb22abce858b1950883edf4f4a1295ffabb5b8d55558ef031c635.png
new file mode 100644
index 0000000..b41ef8e
Binary files /dev/null and b/_images/e2fbe152d5cbb22abce858b1950883edf4f4a1295ffabb5b8d55558ef031c635.png differ
diff --git a/_sources/lectures/19_time-series.ipynb b/_sources/lectures/19_time-series.ipynb
index 7beca92..8b6f580 100644
--- a/_sources/lectures/19_time-series.ipynb
+++ b/_sources/lectures/19_time-series.ipynb
@@ -1592,7 +1592,8 @@
     }
    },
    "source": [
-    "- What if we add interaction features (e.g., something like Day == 5 and hour == 9:00)\n",
+    "- The scores are a bit better now. \n",
+    "- What if we add interaction features (e.g., something like Day == Mon and hour == 9:00)\n",
     "- We can do it using `sklearn`'s `PolynomialFeatures` transformer. "
    ]
   },
@@ -2088,7 +2089,7 @@
     }
    },
    "source": [
-    "Let's examine the coefficients learned by `Ridge`. "
+    "The scores are much better now. Since we are using a linear model, we can examine the coefficients learned by `Ridge`. "
    ]
   },
   {
@@ -2795,13 +2796,13 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Train-set R^2: 0.94\n",
+      "Train-set R^2: 0.95\n",
       "Test-set R^2: 0.69\n"
      ]
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 1000x300 with 1 Axes>"
       ]
@@ -2843,12 +2844,12 @@
      "output_type": "stream",
      "text": [
       "Train-set R^2: 0.96\n",
-      "Test-set R^2: 0.80\n"
+      "Test-set R^2: 0.77\n"
      ]
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 1000x300 with 1 Axes>"
       ]
@@ -3019,36 +3020,36 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>0.000954</td>\n",
-       "      <td>0.000304</td>\n",
+       "      <td>0.001681</td>\n",
+       "      <td>0.000318</td>\n",
        "      <td>0.642676</td>\n",
        "      <td>0.873182</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>0.000531</td>\n",
-       "      <td>0.000223</td>\n",
+       "      <td>0.000933</td>\n",
+       "      <td>0.000753</td>\n",
        "      <td>0.828405</td>\n",
        "      <td>0.874305</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>0.001768</td>\n",
-       "      <td>0.000288</td>\n",
+       "      <td>0.000740</td>\n",
+       "      <td>0.000287</td>\n",
        "      <td>0.773851</td>\n",
        "      <td>0.901262</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>0.000825</td>\n",
-       "      <td>0.000323</td>\n",
+       "      <td>0.001123</td>\n",
+       "      <td>0.000646</td>\n",
        "      <td>0.696712</td>\n",
        "      <td>0.889429</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>0.001471</td>\n",
-       "      <td>0.000701</td>\n",
+       "      <td>0.001172</td>\n",
+       "      <td>0.000540</td>\n",
        "      <td>0.892733</td>\n",
        "      <td>0.863889</td>\n",
        "    </tr>\n",
@@ -3058,11 +3059,11 @@
       ],
       "text/plain": [
        "   fit_time  score_time  test_score  train_score\n",
-       "0  0.000954    0.000304    0.642676     0.873182\n",
-       "1  0.000531    0.000223    0.828405     0.874305\n",
-       "2  0.001768    0.000288    0.773851     0.901262\n",
-       "3  0.000825    0.000323    0.696712     0.889429\n",
-       "4  0.001471    0.000701    0.892733     0.863889"
+       "0  0.001681    0.000318    0.642676     0.873182\n",
+       "1  0.000933    0.000753    0.828405     0.874305\n",
+       "2  0.000740    0.000287    0.773851     0.901262\n",
+       "3  0.001123    0.000646    0.696712     0.889429\n",
+       "4  0.001172    0.000540    0.892733     0.863889"
       ]
      },
      "execution_count": 57,
@@ -3107,13 +3108,13 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Train-set R^2: 0.95\n",
-      "Test-set R^2: 0.71\n"
+      "Train-set R^2: 0.94\n",
+      "Test-set R^2: 0.67\n"
      ]
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABBIAAAGgCAYAAAAXYkQfAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8pXeV/AAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOydeZgU1dXG36rqfXp2hn3YdxJAEQOiAoomwagIqEk0iiYalyhqNpdEJNGo0USNe+InaIx7ggpuKIIigggiCIhswzYw+9pbrff7o7p6qqd7ZnqppmeY83seHqarqm/frq6uvve97zmHY4wxEARBEARBEARBEARBJACf7Q4QBEEQBEEQBEEQBNF1ICGBIAiCIAiCIAiCIIiEISGBIAiCIAiCIAiCIIiEISGBIAiCIAiCIAiCIIiEISGBIAiCIAiCIAiCIIiEISGBIAiCIAiCIAiCIIiEISGBIAiCIAiCIAiCIIiEISGBIAiCIAiCIAiCIIiEISGBIAiCIAiCIAiCIIiEISGBIAjiOGPJkiXgOA5LlizJdlcIgiAIgiCI4xASEgiCINqB47iof4IgoLi4GDNmzMC///1vMMay3cUuw6BBg2LOp/nfXXfdle0uJk1Hoo2x3/zP6XRi0KBB+NnPfoZt27Yd2w4TBEEQBEFYgC3bHSAIgugKLFy4EAAgyzL27NmDpUuXYvXq1di4cSMeeeSRLPeua7FgwQIUFBTEbJ8+ffox78uxYvz48Zg9ezYAoKmpCWvXrsULL7yA119/HR999BGmTJmS3Q4SBEEQBEEkAQkJBEEQCdB6tXzt2rU4/fTT8eijj+Lmm2/GoEGDstKvrshNN93U7c7XhAkTYq6ha665Bk8//TTuuOMOfPTRR9npGEEQBEEQRApQaANBEEQKTJ06FaNHjwZjDBs3bozat2nTJixYsADjx49HUVERXC4Xhg8fjltuuQV1dXUxbZnt8atWrcL06dORm5uLvLw8zJo1C9u3b4/bhz179uDCCy9EYWEhcnJycMopp2D58uXt9nvjxo2YM2cOevbsCafTiYEDB+Laa6/FkSNHYo6dP38+OI5DWVkZHnvsMYwdOxZutxuDBg3CX/7yl0hYx8svv4xJkybB4/GgZ8+euOGGGxAKhRI9lXHRNA1PPPEEJk2aBK/Xi5ycHJx00kl44oknoGlazPEcx2H69Ok4cuQIrrjiCvTp0weCIESFHHz++eeYN28eevfuDYfDgdLSUvzyl7+M+9737NmDX/ziFxg6dChcLhcKCwsxevRo/PKXv0RtbS0A3UFxxRVXAACuuOKKqPCF/fv3d/gef/GLXwAANmzYELNPURQ88cQTmDx5MvLy8uDxeHDCCSfgsccei/v+GWN45JFHMGbMGLhcLvTr1w+/+tWv0NjYiEGDBsUIN+Zr7u2338bpp5+OvLw8cByXch+WLl2KGTNmoHfv3nA6nejduzdOPfVUPP7440mfW4NQKIR7770X3/3ud+HxeJCXl4fTTjsNL7/8cszr79+/HxzHYf78+di5cyfmzZuHkpIS8DyP1atXt/k5EARBEASRPORIIAiCSBFjMmWzRd9K//Wvf2Hp0qWYNm0aZs6cCVVVsXHjRjz00EN455138MUXXyA3NzemveXLl+PNN9/ED3/4Q1xzzTXYsWNH5PgdO3agpKQkcuzu3bsxZcoU1NbW4oc//CEmTJiAPXv2YPbs2Zg1a1bc/r755pu48MILwXEc5s2bhwEDBmDjxo146qmn8Oabb+LTTz/FkCFDYp73m9/8BqtXr8a5556Ls846C2+99RbuuOMOyLIMr9eLP/7xj5g9ezZOP/10fPjhh3jsscegKAqefPLJlM/tT3/6U7zyyisYMGAAfvGLX4DjOCxduhTXX389Pvnkk7gTydraWkyZMgW5ubmYN28eGGPo2bMnAGDx4sW46qqr4HK5cN5556F///7YvXs3nnnmGSxbtgzr16/HgAEDAABHjhzBySefjObmZsyaNQvz5s1DKBRCWVkZXnjhBdxwww0oLi7G/PnzUVBQgDfffBPnn38+JkyYEOlLvNCN1rR1/ciyjHPPPRfvv/8+Ro0ahZ/+9KdwuVxYtWoVbrjhBqxfvx4vvPBC1HOuv/56PPnkk+jbty+uvvpqOBwOvPXWW9iwYQNkWYbdbo/bh9deew3vvfceZs2ahWuuuQZlZWUp9eHJJ5/Eddddh969e+O8885Djx49UFVVha1bt2LJkiW4/vrrkzq3ACBJEs4++2ysWbMGY8aMwfXXX49AIIDXXnsNP/nJT7B582bcf//9Me9pz549mDx5MkaOHIlLL70UPp8v7veNIAiCIIg0YARBEESbAGDxbpVr1qxhPM8zh8PBysvLo/bt37+fKYoS85ynnnqKAWD33ntv1PbFixczAEwQBPbhhx9G7bv11lsZAHbfffdFbT/rrLMYAPbwww9HbX/jjTcifV68eHFke3NzMysqKmKCILC1a9dGPecvf/kLA8BmzpwZtf3yyy9nANjAgQPZ4cOHI9vr6+tZcXEx83g8rLi4mO3YsSOyTxRFNnbsWOZwOFhlZWVUewMHDmQA2IIFC9jChQuj/j300EOR4/7zn/8wAOykk05iPp8vst3n87ETTzyRAWAvvPBCVNvGe/7Zz37GZFmO2vftt98yu93Ohg8fzo4cORK1b+XKlYzneXb++edHtj3yyCMMQFSfzH0IBAKRx8ZnZz7XZoz9l19+ecy+q6++mgFg55xzTtT2hQsXRs6T+TpSFIVdeeWVDABbunRpZPsnn3zCALARI0aw+vr6yHZRFNlpp50W+Qzj9YvjOPbuu+/G9C3ZPpxwwglxP3PGGKuuro78ncy5veeeexgA9qMf/SjqM62oqGClpaUMAFuzZk1ke1lZWeQ6uO2222LaJwiCIAjCOkhIIAiCaAdjYmJMeG+//XZ28cUXM4fDwTiOi5nIt4emaSwvL4/NmDEjarsxqbv00ktjnrNv3z4GgM2dOzey7dChQwwAGzx4cFzBYtq0aTGT23//+98MALvkkktijpckKTLJ379/f2S7IST83//9X8xzrrjiCgaA/fGPf4zZt2jRIgaArV69Omq78Rrx/pknumeeeSYDwD744IOYtlesWMEAxJxDAG1OZG+66SYGgL399tsx+xhjbPbs2YznedbY2MgYY+wf//gHA8CefvrpuMebSVRIGD9+fOQauvnmm9nJJ5/MALA+ffqwb775JnK8qqqsuLiY9enTJ+5nW19fzziOY/PmzYts+/nPf84AsOeeey7m+E8//bRdIcEsoKTThxNPPJF5PB5WV1cX9zwYJHNuhw4dyjiOY99++23Mvn/+858MALviiisi2wwhoVevXiwUCnXYPkEQBEEQqUOhDQRBEAmwaNGiqMccx+HZZ5/F/PnzY46VZRlPP/00Xn75ZezYsQONjY1RMeXl5eVxX+Okk06K2VZaWgoAqK+vj2zbvHkzAODUU0+FIAgxz5k+fTo+/vjjqG3Gc2bMmBFzvN1ux7Rp0/D8889j8+bNGDhwYNT+iRMnxjynb9++He47fPhwzD4AKCsrazfZ4ubNm8HzPKZNmxazb8aMGRAEAV9++WXMvkGDBkVCGcysW7cOALB69eq4+QiqqqqgaRp2796NiRMn4rzzzsPtt9+O66+/Hh988AHOOussTJ06FWPGjInKIZAMW7ZswZYtW6K2DRgwAJ9++mnkMwaAXbt2oba2FsOHD8ef//znuG253W7s3Lkz8th8PbRm8uTJMaETZr73ve/FbEulD5dccgl+/etfY+zYsfjxj3+M008/HVOnTo0KxwGQ8Lltbm7G3r170b9/f4wYMSLm9WfOnAkAca+D8ePHw+l0tvmeCYIgCIJIHxISCIIgEoCFEwv6/X589tlnuPLKK3HNNddg8ODBMRPeiy++GEuXLsWQIUNw/vnnR5LPAcDDDz8MURTjvkZ+fn7MNmMSqKpqZFtjYyMAoFevXnHb6d27d8w24znx9gFAnz59oo5LtF/t7ZNlOe5rdURjYyOKiorixvXbbLZI/H1r2npvRgK/Bx54oN3X9fl8AICBAwdiw4YNuOuuu/Dee+/h9ddfB6CLOr/73e/wq1/9Kqn3AwCXX345lixZAsYYKisr8cwzz+DOO+/E+eefj7Vr18Ltdkf1dffu3THiVby+Au1fD4IgRHIOxCPeOUulD7fccgt69OiBJ554Ao888ggeeughcByHGTNm4IEHHsCJJ54IIPFzm8712tZzCIIgCIKwDqraQBAEkQQ5OTk466yzsHz5ciiKgksvvRSBQCCyf+PGjVi6dCnOPPNM7Ny5E4sXL8a9996Lu+66C3feeSckSUq7D8bkvbKyMu7+ioqKNp8Tbx8AHD16NOq4bJKfn4+6urq4QoSiKKipqUFeXl7MvrbcAsZ7amxsBNND+uL+MwtCo0ePxiuvvILa2lps3LgR9913HzRNww033IDFixen/N44jkPv3r3xhz/8Ab/+9a+xefNm/OEPf4jp6wUXXNBuX42kiAAi5yLe9aCqakwlhNb9aU0qfQCAyy67DOvXr0dtbS3efvtt/PznP8fq1atx9tlno7q6OnJcIuc2nes1VdcIQRAEQRCJQ0ICQRBECowfPx5XXXUVDh8+jIceeiiyfc+ePQCA888/P2ZFfcOGDQgGg2m/9gknnAAA+PTTT6OcCgbxSt0Zz4m3T1EUfPrppwAQWTnOJieccAI0TcMnn3wSs++TTz6BqqpJ9XPy5MkAgDVr1iTdF5vNhokTJ+L3v/89XnrpJQB6mUMDI7Qk3ufQEXfeeSdKSkrw6KOPRiblo0aNQkFBAdavX5+wo8N8PbRm/fr1UBQlqX6l0gczBQUFmDVrFv71r39h/vz5qK2tjXvu2zu3ubm5GDp0KMrLy7F79+6Y565atQpA57heCYIgCKI7QkICQRBEivzhD3+Ay+XCgw8+GMlhYMT+t56wV1VVRUrgpUv//v1x1llnoaysDI899ljUvjfffDMmPwIAzJ49G0VFRXjppZewfv36qH0PP/ww9u3bh5kzZ0ZKIGaTK6+8EgBw2223Rbk9AoEAbr31VgDAz3/+84Tb+9WvfgW73Y6bb74Zu3btitkvSVLURHfDhg1xV/eNbS6XK7LNCBs4dOhQwv0xyM3Nxe9//3vIsoy77roLgD65vuGGG3D06FHceOONcYWno0ePYseOHZHHl112GQDgnnvuibL6S5KE22+/Pel+pdKH9957L65gYYSgGOcsmXN75ZVXgjGG3/72t1FCTU1NTSR3g3GtEARBEARxbKEcCQRBECnSr18//PKXv8QjjzyCv/71r7j33nsxadIkTJ06Ff/73/9wyimn4NRTT0VlZSXeffddjBw5MpKIMF0ef/xxTJkyBTfddBNWrFiB8ePHY8+ePVi6dCnOPfdcLFu2LOp4r9eLZ599FhdeeCGmTZuGCy+8EAMGDMCmTZuwYsUK9O7dG08//bQlfUuXn/70p3jzzTfx6quvYuzYsZg9ezY4jsMbb7yBsrIyXHTRRbjkkksSbm/UqFF49tlnceWVV2Ls2LH4wQ9+gBEjRkCWZRw8eBBr1qxBSUlJJHngiy++iMcffxzTpk3DsGHDUFhYiL1792LZsmVwOp1YsGBBpO0pU6bA4/Hg4YcfRm1tbSRPwQ033JBQmMh1112Hv/3tb3jhhRfw+9//HmPGjMEf//hHbNmyBU899RSWLVuGM844A/369UNVVRV2796NtWvX4p577sGYMWMAANOmTcPVV1+Nf/7znxg7dizmzp0Lu92OZcuWIT8/H3379gXPJ7dukGwffvzjH8PlcuHUU0/FoEGDwBjDmjVr8MUXX+DEE0+MJEdM5tz+5je/wbvvvos333wT48ePx6xZsxAIBPDaa6+hqqoKv/vd7+ImmCQIgiAI4hhwzOpDEARBdEEQLk/YFhUVFczj8TCPx8MqKioYY4zV1taya6+9lg0cOJA5nU42ZMgQdttttzG/388GDhzYZim+tkoIAmDTpk2L2b579242d+5clp+fzzweD5s8eTJbvnx5u+1t2LCBzZ49m/Xo0YPZ7XZWWlrKrrnmGlZeXh5zrFH+saysLGbfwoULGQC2atWqmH1tvb5R/jFee61RVZU9/vjjbOLEicztdjO3281OPPFE9thjjzFVVWOOb+scmdm6dSu7/PLL2YABA5jD4WCFhYVs7Nix7Oqrr2YrV66MHLd+/Xp2zTXXsHHjxrHCwkLmcrnY0KFD2fz589nXX38d0+67777LJk+ezHJyciLXi/EejXNx+eWXt9kvoyTinDlzIts0TWPPP/88O+OMM1hhYSGz2+2sb9++bOrUqeyee+5hBw8ejDlff//739nIkSOZw+Fgffr0Yddddx1raGhgXq+XTZgwIer4jq65ZPvw5JNPstmzZ7PBgwczt9vNCgsL2YQJE9j999/PmpqaUj63wWCQ3XPPPWzs2LHM5XIxr9fLpk6dyl588cWYY43yj+2da4IgCIIgrIFjLJyKnCAIgiCI44rdu3djxIgR+PGPfxzJQ0AQBEEQBJEulCOBIAiCILo4FRUV0DQtalsgEMBNN90EAJg7d24WekUQBEEQxPEK5UggCIIgiC7Oww8/jJdeegnTp09Hnz59UFFRgZUrV+Lw4cM455xzSEggCIIgCMJSSEggCIIgiC7OWWedhW3btmHlypWoqamBIAgYOXIkFixYgAULFoDjuGx3kSAIgiCI4wjKkUAQBEEQBEEQBEEQRMJQjgSCIAiCIAiCIAiCIBKGhASCIAiCIAiCIAiCIBKGhASCIAiC6KTs2bMHc+fORZ8+fcDzPAoKCrLdJYIgCIIgCBISCIIgUmX+/PngOK7Nf9OnTz/mfdm/f/8xe82uyP79+8FxHAYNGpTtrnSIpmm44IILsHz5cpxzzjm48847ceuttx6z158+fTolaSQIgiAIIi5UtYEgCCJNzj//fEyYMCFme1eYrBKdl3379mHbtm246qqr8M9//jPb3SEIgiAIgohAQgJBEESazJ49G/Pnz892N4jjjCNHjgAA+vbtm+WeEARBEARBREOhDQRBEMeIl156CTNmzEBhYSFcLhdGjx6Nu+++G6Ioxhz7xhtv4NJLL8WIESOQk5MDr9eLE088EQ8//DBUVY06luM4PPfccwCAwYMHR0IrzI6IQYMGtemQuOuuu8BxHFavXh3T7vTp03HkyBFcccUV6NOnDwRBwJIlSyLHfP7555g3bx569+4Nh8OB0tJS/PKXv4xMgs3s2bMHv/jFLzB06FC4XC4UFhZi9OjR+OUvf4na2trETuIxZsmSJZg7dy6GDBkCt9uNvLw8TJ06Fc8//3ybz/niiy9w9tlnIzc3F3l5eZg5cybWrVvX5nmOB8dxmDZtGgBg0aJFkc/0rrvuihyjKAqeeOIJTJ48GXl5efB4PDjhhBPw2GOPQdO0lN+LEf7x8ccfR/oSL1ynvfCdeKE2Rrvz58/Hzp07MW/ePJSUlIDn+ahz8v7772PWrFno0aMHnE4nhg4dit/+9rdoaGiIeZ3Nmzfj4osvxsCBA+F0OlFcXIxx48ZhwYIFkGW5/ZNMEARBEETKkCOBIAjiGPDzn/8czz77LEpLSzF37lzk5+dj/fr1+OMf/4iVK1dixYoVsNvtkeNvvfVW8DyP733ve+jXrx8aGhqwcuVK3HzzzdiwYQNefPHFyLELFy7EG2+8gS1btmDBggWRhHxWJOarra3FlClTkJubi3nz5oExhp49ewIAFi9ejKuuugoulwvnnXce+vfvj927d+OZZ57BsmXLsH79egwYMACAvrp+8skno7m5GbNmzcK8efMQCoVQVlaGF154ATfccAOKi4vT7q/VXHvttRgzZgxOP/109OnTBzU1NXj77bdx+eWXY+fOnfjLX/4SdfyaNWtw9tlnQ5ZlzJ07F0OHDsXXX3+NGTNm4Iwzzkj4dRcuXIj9+/fjueeew7Rp0yITduN/WZZx7rnn4v3338eoUaPw05/+FC6XC6tWrcINN9yA9evX44UXXkjpvRQUFGDhwoVYsmQJDhw4gIULF0basCJcZ8+ePZg8eTJGjhyJSy+9FD6fD7m5uQCAP/3pT1i4cCGKi4txzjnnoGfPnti6dSsefPBBvPPOO/jss8+Qn58PAPjqq68wZcoU8DyP8847D4MHD0ZTUxP27NmDJ598Evfcc0/Ud4ogCIIgCAthBEEQREpcfvnlDAA7//zz2cKFC2P+1dfXM8YYW7x4MQPA5s2bx4LBYFQbCxcuZADYQw89FLV9z549Ma+nqiq75JJLGAC2bt26uH0pKyuL29eBAweygQMHxt1n9GHVqlVR2wEwAOxnP/sZk2U5at+3337L7HY7Gz58ODty5EjUvpUrVzKe59n5558f2fbII4/EfZ+MMebz+VggEIg8rq+vj3s+2/u3efPmuO+tNWVlZQxAm+eiNfE+h1AoxKZPn85sNhs7dOhQZLuqqmzYsGEMAHvnnXeinvPkk09Gzmfr89wWq1atYgDYwoULY/YZn9mCBQuYoiiR7YqisCuvvJIBYEuXLk35vTDG2LRp01h7wwQAbNq0aXH3xbsejXMPgN12220xz/noo48YADZ16lTW0NAQtc/4Di1YsCCy7eabb477PhljrK6ujqmq2mbfCYIgCIJIDxISCIIgUsSYLLX1z5hETZgwgdnt9oiwYEZRFFZcXMxOOumkhF5z48aNDABbtGhR3L5YLSQ4HA5WWVkZ85ybbrqJAWBvv/123DZnz57NeJ5njY2NjDHG/vGPfzAA7Omnn27/DbLoCWei/xYvXtxhu+a2ExUS2uL1119nANhzzz0X2bZmzRoGgM2YMSPmeFVV2YgRIywRElRVZcXFxaxPnz5RIoJBfX094ziOzZs3L+X3wljmhIRevXqxUCgU85zZs2czAGz79u1x25wwYQIrKSmJPL7lllsYAPb++++38+4IgiAIgsgEFNpAEASRJosXL24z2WIgEMCWLVvQo0cPPPzww3GPcTqd2LlzZ9S22tpaPPDAA3jnnXewb98++P3+qP3l5eVWdL1DBg0aFAllMLNu3ToAwOrVq7Fhw4aY/VVVVdA0Dbt378bEiRNx3nnn4fbbb8f111+PDz74AGeddRamTp2KMWPGxJQYHDRoEBhjmXlDSXLw4EHcf//9WLlyJQ4ePIhgMBi13/w5bN68GQBw6qmnxrTD8zxOOeUU7Nq1K+0+7dq1C7W1tRg+fDj+/Oc/xz3G7XbHXFPJvJdMMn78eDidzpjt69atg91ux6uvvhr3eZIkobq6GrW1tSguLsaPf/xjPPLII5g9ezYuvPBCnHnmmZg6dSqGDh2a6bdAEARBEN0eEhIIgiAySH19PRhjqK6uxqJFixJ6TkNDAyZNmoSysjKcfPLJuOyyy1BUVASbzYaGhgY88sgjcRM0ZoLevXvH3W4kR3zggQfafb7P5wMADBw4EBs2bMBdd92F9957D6+//joAoLS0FL/73e/wq1/9ysJeW8O+fftw8skno76+HqeddhrOPvts5OfnQxCESP4C8+fQ2NgIAOjVq1fc9tranizGud+9e3e715Rx7oHk30smae+aUhSlw++Jz+dDcXExJk2ahDVr1uCee+7Ba6+9FkkaOWrUKNx11124+OKLLe87QRAEQRA6JCQQBEFkECMx3AknnIAvv/wyoec888wzKCsrw8KFC6Oy9AP6qu0jjzySdD94nockSXH3xcuGb9DaLWBgvK/Gxkbk5eUl1IfRo0fjlVdegaIo2LJlCz788EM8+uijuOGGG5CTk4Mrrrgi0p+23BttMXv2bEyYMCGp53TE3//+d9TW1sZ1nLz00kuRShkGxnmorKyM215b25PFOPcXXHAB/ve//yX0nGTfSyJwHAdFUeLuS/Wa0jQNdXV1CfdhypQpWL58OURRxKZNm/Dee+/h0UcfxU9+8hOUlJQkleCSIAiCIIjEISGBIAgig3i9XowdOxbbt29HXV0dioqKOnzOnj17AABz586N2WeU5GuNIAgAEFMa0qCwsBBbt26FLMsxmew3btzYYZ9aM3nyZGzatAlr1qzBOeeck9RzbTYbJk6ciIkTJ+KUU07B6aefjqVLl0YJCYm6NwwGDRpkuZCQ7OdwwgknAAA+/fTTmH2apuGzzz6zpF+jRo1CQUEB1q9fH/fzjEe615Txt5nCwkIcOnQoZruqqvjqq6867FNrJk+ejLfffhvbt2/H2LFjk3qu0+nEKaecglNOOQXDhw/HZZddhjfeeIOEBIIgCILIEHy2O0AQBHG8c8stt0CSJFx55ZVxV2rr6+uj3ApGib1Vq1ZFHbd582bce++9cV/DKJ0Yb2IHAN/73vegKAoWL14ctX3JkiVYu3Ztom8lwq9+9SvY7XbcfPPNceP+JUnCmjVrIo83bNgQd0Xe2OZyuSLbjBwJyfxrK0dFOrT1Obz//vt45plnYo434vNXrVqFd999N2rfP//5T0vyIwC6EHPDDTfg6NGjuPHGG2NyHQDA0aNHsWPHjsjjZN8LkNg1dfDgQaxYsSJq+913340DBw4k/H4Mbr75ZgDAVVddhSNHjsTs9/v9WL9+feTxmjVrIuEkZuJdUwRBEARBWAs5EgiCIDLMlVdeiU2bNuGJJ57A0KFD8f3vfx8DBgxAXV0dysrK8Mknn+CKK67AU089BQC47LLL8MADD+Dmm2/G6tWrMXz4cOzevRvLly/HnDlz8Morr8S8xplnnokHHngAV111FebOnQuv14uCgoJI7oEbb7wRixcvxrXXXouVK1eitLQUW7ZswWeffYYf/ehHWL58eVLvadSoUXj22Wdx5ZVXYuzYsfjBD36AESNGQJZlHDx4EGvWrEFJSUkk4d+LL76Ixx9/HNOmTcOwYcNQWFiIvXv3YtmyZXA6nViwYEGaZzk5ampq2hQfPB4PnnjiCVx33XVYvHgxLrroIsydOxf9+vXDtm3b8N577+Giiy6K+Rx4nsczzzyDH/zgBzjvvPMwd+5cDB06FFu3bsUHH3yAH/7wh3j33XfB8+lr+H/84x+xZcsWPPXUU1i2bBnOOOMM9OvXD1VVVdi9ezfWrl2Le+65B2PGjAGApN8LoF9Tr732GubMmYMf/vCHcLvdGDhwIH72s58BAH7zm9/g/fffx/nnn4+LL74YRUVF+Oyzz1BWVobp06dj9erVSb2nM888E/fddx9uu+02DB8+HLNmzcLgwYPh8/lw4MABfPzxxzj11FPx3nvvAQD+9re/YcWKFZg+fTqGDBkCr9eL7du3491330VBQQGuvvrq9E4yQRAEQRBtk41SEQRBEMcDRom7REsPLlu2jJ1zzjmspKSE2e121qtXLzZp0iR2xx13sG+++Sbq2O3bt7Nzzz2XlZSUMI/Hw0488UT2r3/9K1JC7/LLL49p/29/+xsbNWoUczgccUscrl27lp1++unM7Xaz3NxcNmvWLLZly5Z2yz+2Vd7PYOvWrezyyy9nAwYMYA6HgxUWFrKxY8eyq6++mq1cuTJy3Pr169k111zDxo0bxwoLC5nL5WJDhw5l8+fPZ19//XVC588KEiktmZ+fHzl+7dq1bMaMGaygoIB5vV42depUtnTp0jZLMxrvdebMmczr9TKv18vOPPNM9tlnn7Hrr7+eAWBfffVVQn1t7zUYY0zTNPb888+zM844gxUWFjK73c769u3Lpk6dyu655x528ODBqOOTfS+KorDbbruNDR48mNlstrjXw1tvvcUmTpzInE4nKyoqYhdffDHbv39/u+Uf4127ZtasWcMuvPBC1qdPH2a321mPHj3Y+PHj2c0338y++OKLyHHvv/8+mz9/Phs9ejTLy8tjHo+HjRgxgt1www1s//79HZ1egiAIgiDSgGOsk9TYIgiCIIjjmKlTp+Lzzz9HY2MjcnJyst0dgiAIgiCIlKEcCQRBEARhEYFAIG4ejCVLluCzzz7DD37wAxIRCIIgCILo8pAjgSAIgiAsYufOnTjhhBNw1llnYdiwYVAUBZs3b8ann36KwsJCrFu3DiNHjsx2NwmCIAiCINKChASCIAiCsIj6+nr8/ve/x5o1a3DkyBEEg0H07t0bZ511Fu644w4MGTIk210kCIIgCIJIGxISCIIgCIIgCIIgCIJIGMqRQBAEQRAEQRAEQRBEwnQaIeHTTz/FrFmzUFhYCLfbjeHDh+PPf/5z1DFffvklZs6cGamPPmfOHOzbty9LPSYIgiAIgiAIgiCI7oct2x0AgBdffBE/+9nPcNFFF+H555+H1+vF3r17ceTIkcgxO3fuxPTp0zFhwgS8+uqrCIVCuPPOO3Haaafhq6++QklJScKvp2kajhw5gtzcXHAcl4m3RBAEQRAEQRBEF4AxhubmZvTt2xc832nWWQmiU5P1HAnl5eUYOXIkLrvsMjzxxBNtHnfRRRdh1apV2Lt3L/Ly8gAABw4cwPDhw3HzzTfj/vvvT/g1Dx8+jNLS0rT7ThAEQRAEQRDE8cGhQ4fQv3//bHeDILoEWRcSFi1ahLvuugv79+/HwIED4x6jKAry8vJw2WWX4amnnora9/3vfx9lZWXYtWtXwq/Z2NiIgoICHDp0KCJKEARBEARBEATR/WhqakJpaSkaGhqQn5+f7e4QRJcg66ENn3zyCYqKirBz506cf/752LZtG4qKijBnzhz89a9/RV5eHvbu3YtgMIhx48bFPH/cuHH44IMPEAqF4HK54r6GKIoQRTHyuLm5GQCQl5dHQgJBEARBEARBEBTyTBBJkPUgoPLycgQCAVx44YW4+OKL8eGHH+K3v/0tnn/+ecyaNQuMMdTW1gIAioqKYp5fVFQExhjq6+vbfI17770X+fn5kX8U1kAQBEEQBEEQBEEQqZF1R4KmaQiFQli4cCFuvfVWAMD06dPhcDhw0003YeXKlfB4PADaVwnb23fbbbfhlltuiTw27EsEQRAEQRAEQRAEQSRH1h0JxcXFAPRcB2Z++MMfAtBLPhrHGM4EM3V1deA4DgUFBW2+htPpjIQxUDgDQRAEQRAEQRAEQaRO1oWEeHkPAL0MCwDwPI+hQ4fC7Xbj66+/jjnu66+/xrBhw9rMj0AQBEEQBEEQBEEQhHVkXUiYO3cuAODdd9+N2v7OO+8AACZPngybzYZzzz0X//vf/yKJEgHg4MGDWLVqFebMmXPsOkwQBEEQBEEQBEEQ3Zisl38EgPPOOw8rVqzAH/7wB0yePBkbN27EokWLMHPmTCxbtgwAsHPnTkyaNAknnngibr31VoRCIdx5552oq6vDV199hZKSkoRfr6mpCfn5+WhsbKQwB4IgCIIgCILoxtDcgCCSp1MICcFgEIsWLcKLL76Io0ePom/fvrjkkkuwcOFCOJ3OyHGbNm3C73//e6xbtw42mw1nnHEGHnzwQQwdOjSp16ObBUEQBEEQnYmbX/kKDQEJz86fRCXoCOIYQ3MDgkieTiEkHGvoZkEQBEEQRGdBUTUMu0MP8dxwx5nomUt5nwjiWEJzA4JInqznSCAIgiAIgujOSKrW8reitXMkQRAEQXQOSEggCIIgCILIImbxQCQhgSAIgugCkJBAEARBEASRRcziATkSCIIgiK4ACQkEQRAEQRBZhBwJBEEQRFeDhASCIAiCIIgsQo4EgiAIoqtBQgJBEARBEEQWiXYkqFnsCUEQBEEkBgkJBEEQBEEQWYSqNhAEQRBdDRISCIIgCIIgsogot7gQKEcCQRAE0RUgIYEgCIIgCCKLkCOBIAiC6GqQkEAQBEEQBJFFKEcCQRAE0dUgIYEgCIIgCCKLSFS1gSAIguhikJBAEARBEASRRcyhDZQjgSAIgugKkJBAEARBEASRRUSZhASCIAiia0FCAkEQBEEQRBYRyZFAEARBdDFISCAIgiAIgsgilCOBIAiC6GqQkEAQBEEQBJFFSEggCIIguhokJBAEQRAEQWQRKv9IEARBdDVISCAIgiAIgsgiZvGAHAkEQRBEV4CEBIIgCIIgiCwS7UggIYEgCILo/JCQQBAEQRAEkUUklXIkEARBEF0LEhIIgiAIgiCyCOVIIAiCILoaJCQQBEEQBEFkEXM4g9mdQBAEQRCdFRISCIIgCIIgskiUI0EmIYEgCILo/JCQQBBEQryw/gA+2lmZ7W4QBEEcd5AjgSAIguhqkJBAEESHlDcE8Yc3tuF3r2/NdlcIgiCOO8ziATkSCIIgiK4ACQkEQXRIvV8CADQFlSz3hCAI4vhDMiVYJEcCQRAE0RUgIYEgiA4JyvogV1I1aBrLcm8IgiCOL8SoHAlUtYEgCILo/JCQQHR6FFXDnCfW4pZXv8p2V7otfrHFiUCrZQRBENYiUY4EgiAIootBQgLR6SlvCOLLgw1YvvVotrvSbQlKLStkIVotIwiCsBSq2kAQBEF0NUhIIDo9SthKr9AqTdYImIQEswWXIAiCSJ+oZIv0W0cQBEF0AUhIIDo9alhI0BgoPj9LBEwuBFotIwiCsJao0AZFA2P0W0cQBEF0bkhIIDo9itoyoJI1msRmg6DUkiNBVCi0gSAIwkpaO70oTwJBEATR2SEhgej0qCYXgllUII4dfpFCGwiCIDKF1FpIoPssQRAE0ckhIYHo9CgmFwIJCdkhaA5tIEcCQRCEpbQWDkiwJQiCIDo7JCQQnR5Fo9CGbBMwhzZQjgSCIAjLYIzFhDKQI4GIsPFZ4P07AMqbQRBEJ4OEBKLTY3YhkCMhO1DVBoIgiMxgFhE4Tv+f7rNEhA8WAuseA2r3ZrsnBEEQUZCQQHR6zDkSZEpAlRWCEoU2EARBZAKzaOB12ACQI4EIoyqA2KT/HWrIalcIgiBaQ0IC0ekx50hQqfxjVvBn2JEQklUqd5YBQjKJPgTR2TGLBjlOXUggwZYA0CIitP6bIAiiE0BCAtHpiaraQDkSskIwgzkS9lb7MH7RCtz99jeWttvd+cs732D8ohXYU9Wc7a4QBNEOhpDgEHi47HzUNqKbE2o0/U1CAkEQnQsSEohOj6yyuH8Tx45ABkMbtpU3QlQ0bDpQb2m73Z0vD9RDVDTsOEpCAkF0ZiJCgo2Hw6YPyyhHAgEgWkgQ6V5OEETngoQEotMT5UggISErBDMY2mA4HMyvQaSPUe1EpgkJQXRqjGSLDhsPp03Qt9H3lgBahTaQkEAQROeChAQCAPDJrmp8tqcm292Iizmcgco/ZodMVm0IhuP4A7LSwZHHH/V+CS9tOIimkGx528b3hhKUEm2xq7IZb2wup/wkWcYQU51RjgQSVgm0ciRkILRh5zvAwfXWt0sQRLfAlu0OENknKKn4xXMbIfActt51NuxC59KXyJGQffxRORKsHeAaCQGDUveb8P7fp2V4bNUeNAVl/HLaUEvbNr4rJCQQbfG717fiq0MNGNbTi+/0y892d7otkqrfA3VHAoU2ECZCGXQk+KqBVy4BXAXA78usbZsgiG5B55oxElmhMShDUhUEZTlq5bmzoEQJCTS4ygbmsINQhhwJ5oSO3YX6gBT+PxOOBP17I5H4RrRBQ+T6k7Lck+6NaEq2SDkSiCiiki02tn1cKvgqAaYBwTpACljbNkEQ3QJyJBBoDInwDH4UYDYExJnId9uz3aUozC4Emco/HnMkRYsSc6x2JLSENuglIDmOs7T9zkwmXQOGk4ccCURbGMlryemVXczJFg1HAuVIIABkNkeCWZgI1ACOAda2TxDEcQ85EggcbjwKwXUUgvsQagOdr7yQqmngneXg7LXkSMgCrZMgZirZImPdbxXOyPmRievaEBAo2SLRFmrEtULXSDaJrtqgJ1vsbvdCog0yWbUhSkiotbZtgiC6BeRIINAsiZG/G0QfgF7Z60wcGqQa5Ax5FAAgq2dnuTfdj9ZJEC1PtmgSKoKSCpddsLT9zoyawfADypFAdIQSEbLIkZBNzKEN5EggoshkskVzeyQkEASRAuRIIFAfbFG5G4L+LPYkPjXi4cjfClVtOOb4RRWACnfpM3D2WmZ5NvGgKVQiaHHYRGcnk5N9ypFAdEQktIHuq1nFEA2cdiGSI4GEBALAMXQk1FnbNkEQ3QISEgg0hnyRv918cRZ7Eh+NtcTMk0372BOUVAg5+2Dz7oGjaG0kFMEqQibxoDMm+8wkhoCQidAGJYNhE8TxQcQRQ/fVrGKElpgdCVT+kQDQKtmixY6EEDkSCIJIDwptIODkShCqOBfQHFDUzmcrZ1pLn2SNBlfHmoCkAJqegFOTCyAiM1UbgNh8DMc7SiQhovWuAZVCG4gOiAhZlMQ2q0QcCTaeHAlENBlNttjQ8re/xtq2CYLoFpCQQEDQCiDXTwXQSSdyTBcSNDkPmtZ9Mvp3FgKyCvB6eTimuiEya68Rs8Oh24U2ZLCygpHIkUIbiLYwHAnkWsku0VUbKNkiYcLsSJCaAU0DeIvMxJQjgSCINCEhgYBfVGHL3QreUY0DzbkA+mW7S1G4uCKEKn4EMDuVf8wCQUkFx4cAAExzQrR40hGMCm1Q2jny+MOYwGUkRwI5Eoh2YIxl1BFDJI4RxkDJFokYWoczSM2AK9+itqlqA0EQ6UE5EghUBo7A1ed1OHt+gAO+XdnuTgx2Lh9ywyTITd+FrHSviWZnwC8q4Hi9sofNsx8BxdqkTN06tEHNzEQuepJIE5L2OFDrx73vfoOq5lC2u3JMUU2iLF0j2aUl2SLlSLAEVQFW/QXYvzbbPUkPxqIn+4C14Q1RORIo2SJBEMlDQgKB3YFV4ATduh6QO1/VBlVj8I5chNyRf0KjRD92x5qgrAJCyyQrxBosbT/Unas2aJlxJNAkMXH+9vGHeH7vnXh67bpsd+WYYs6LQDkSsotoSrYYyZFA39vUObAW+Ph+4MOF2e5JesgBwAgltLn1/61MuEiOBIIg0oSEBAJBJRj5O6AEstiT+PjlJnCcPqgSVSnLvel+BCQ1kqcCACTN2pXb7ly1IVOuAfPEUFJoktgeq5sXwpa7E29X/yXbXTmmmK85EpuyizlHgkMIOxIsro7TrZDCCyJWJyc81hgTfU4Acnvpf1v5nihHAkEQaUJCAoGQ2iIemEWFzkK13BJuIanWhzYwRhOt9ghIKuT6U+DSBgDIhJCgmf7uXkKCEdJg9YqwcgwcCcfL94ZBv+b8WkWWe3JsIddK5yEq2aK98zkSMvZdz1S7mqz/r3TxcCXDfeDKB5x5+t+Whja0ciRoneeaIwiia0BCAgFJaxEPQmrnExIUrUU8kC12JBxtDGLKvR/hHyt3W9ru8UQwnADRwevWStlCIYEx1irZYvcSElSjsoLFidVUNbOTxJtf+Qo/eHjNcRHHnaONAgDYWXGWe3JsMeflUCjZYlbRKzSo2NT8b3xa/QrAKZ3GkXDk1tuw79xzoYmitQ1rKvCvM4CXfmptuwCgGkKCxX0+1hgTfVeeSUhobPv4pNs3ORKYam3bBEF0C0hIIKKEBLGTCwmSZq0jYcuhRlQ0hbDym0pL2z2e8Icn907BBQBQmHVCgqyyqJXR7iYkKCoDOMnyyb6sZda2/uGOSnxb2YyDtZ0vFCpZPOIUAACv9MhyT44t0Y4EEhKyiaRo4IQQvmp6AyuOLgEYZ3l1nFRpfOMNSHv2wrf6Y2sbbq4AjnwJfPu29SvhxjihqzsSRJMjwWWxI0EOAWpYaOHCUwFKuEgQRJKQkEBAYS3igdW2dStQtJbJpdWOBDlSfo8G0m0RlFQ4e72BanULAEDjRMvqzodarWh3t9AGn/Nj5I66E377BkvbNa8wSxm4tg2h4niodS9JukAmMV+We3JsoRwJnQdJ0QBe/x128m4AAsTOdi/ULO6P+bfc6pDKiCOhi+dUMhwJzjzAmRveZlGyxUh+BA7I66//SXkSCIJIkk4nJDzzzDPgOA5erzdm35dffomZM2fC6/WioKAAc+bMwb59+7LQy2NHnV/Cur2Zvbkr0MUDsWY6eirnZ/S1UkFhmXMkZCprPqCX7/poZyX8YtcuWRmQFAiuo5HHHC9ZNoEMtXIgBKSufa6SJZj3OgDAn/9vS9tVzI6EDEz2DaGiM8Vxp0pI9UGT8yEHSo+bvA+JEF21oet/jl0ZSdUdCQAgakHwjqpO991imXINAIBssZBw3ORIMEIbMpAjwSxS5ITdWCQkEASRJJ1KSCgvL8dvfvMb9O3bN2bfzp07MX36dEiShFdffRXPPvssdu3ahdNOOw3V1dVZ6O2x4e7lO/CTf63Hm1+VZ+w1tIZTIVadBblhElSp88UJqyYhgWceS9vOVLI7AHh902FcuWQjnly91/K2jyUBSQV4fUAWPHwJpNrTrBMSWsUBd7fQhkyhZDBHAmOspdrEceBIEHOXg7c3QqyfCF8XF/2SQY0Kf+k+AkpnRFI0cHzLpJdz1HWaHAkGvNttbYOGawDQyxxa2nb4e8zUlr+7IlFCQtiRYJmQoDsSFC0XqlCgb/PXWNM2QRDdBlu2O2Dmmmuuwemnn46ioiK8/vrrUfvuvPNOOJ1OLF++HHl5ujI7ceJEDB8+HA8++CDuv//+bHQ54xxu0JX6f687gPMn9LO8fcYY/HUTIsmTO+NETg1bKuXmMcjJtfYcRFZWMzAhqmzUB4aVTV17VSQoqeDseiwlrxYCECxLsheUu3doQwTNYWlzmazaEFVaspOtmiYLYwyME8EBgOZAvV9Grsue7W4dE+QMJ+QkEkdUVHBCy6o8x4ud5rs18D8vgEkSXGPGWNuwZhYSMuRIAHRXghDrcO0SmHMkRIQEi0IbQg1QJQ67X9bA2Xdh1FyQI4EgiKTpNI6EF154AR9//DGeeOKJmH2KomD58uWYO3duREQAgIEDB2LGjBlYunTpsezqMcUY4G08UI/dldbXRA7KKhgDOKEZ9sK1qBcsTqhkAW42CGLV96E0TrB85axBqoVnyN8QcH9oabsAIBurtp1kQJgqfkmNrJY5eN0RYtVqWWshoTMKWRnFdwIAQKv7vqXNKhlcbY7Kv9DFHQkhWQN4PY6aMQHVvq6fPDJRzMkWqWpDdtFzJJgcCbzYab5bnokTkTNlCoT8fGsbNjsFLHckmIQEi/MqHVPM4QeRZIvW5UiQmvW1RCZr0GSOhASCIJKmUwgJVVVVuOmmm3Dfffehf//+Mfv37t2LYDCIcePGxewbN24c9uzZg1Co7VVfURTR1NQU9a+rYB5MvPzFIcvbbwpJENz7IXi/hav3MgTc71v+Guni0koh1U6H0jwGkiJ3/IQk2NX0OQRnNZS8FZa2CyCSkDATK0vr99Xiuv9sOiZuh4AkA3zYkdBjOeyFay0MbVDB2RrhGfJ32As/7XZCghocCLlxHFSxxNJ2MxnaYK4IcawmO1VNIdz40mZsKLM2q3hjMASO1yc03mEP4pva7lMGlpItpsabX5Xjppc3W+qeEpWWHAkAAF7sFKVVmaoi9M03EHfvtj5HgnmCn2lHQlclZHYk5EVvS7vtRsCkH8pBnqo2EASRNJ1CSLjuuuswcuRIXHvttXH319bqKmlRUVHMvqKiIjDGUF9f32b79957L/Lz8yP/SktLren4McA8wPvfl4ctH1zU+X3wDHoK7r56KAnjOl/dZUVjcA94Brmj/4Cj6ueWti1w4bhPMVbAShc5EjZh/Wrfv9cfwDtfV2DF9grL225NQA6B4/T3wNw7YMvZbWlog+A+BMFZBUeP1d0utEGun4LQkZ9CbB5habsZDW1Qj31ow6Mf7cFbW47gqY+tzTdSF4yu1FDR3PbvyPFGlCMhAzlijlf+/sEuvPHVEWzcb921Iqka5IaJGJKrhw8YjoRsJ//UmptRdsEc7Dv3PIh79ljc+DHIkQB0cSHByJGQl4Fki01gjIs8VIICORIIgkiarAsJ//3vf7Fs2TL861//Asdx7R7b3v729t12221obGyM/Dt0yPqV/UxhtiXXB2S8v73S0vZrAtHqNuM7nw0wqNaDd1YBABSLqzbIYQukxqz/KrSUlsxARYhwaEHr0IBMEJKD0JTclg28aGnVhkjbmqPbORKYZzs8gx6Do+dbURO7dFHUTIY2HFtHQlBS8UY42eyRBmtXLmsD0YPy6k64Ire/cT+e/OpJNEvWhrZRjoTkUVQNh+v1a9BvYYUZSdEAzYORBbrrkuMlaCz7Ag9TWt5j6OuvrW1cPVY5Ejrf4kjCZDTZYiM8JRI8w/QE2yQkEASRClkVEnw+H66//nrccMMN6Nu3LxoaGtDQ0ABJ0iezDQ0N8Pv9KC7Wb3SGM8FMXV0dOI5DQUFBm6/jdDqRl5cX9a+rYAzUp43Qrc+vfHHQ0vbrgtFCAsepCEid64e3ll8D3qb/eFotJPiVBgAA77He0mwMzjMx2cpk22YYYwiIbvh334F7pjwMIFz+0aIcCSFFBVTdFcIJgWMijHQWVI2B4/0Q3IfBO6otncxlMiGifIyTLb7z9VE0h/TvvdVCQkPIH/W4Ntj5HAnzls3DE1uewH0b7kvo+OaQDC2BCaiiaeBsTRDc+0lIaIOmUHQo3dHGUETwC1ooehrCrNeeo28Ih5JlO0+CWUhgsrVhhZkt/2h2JHSu8UxSGPkQMpQjAQCKzhyLPr+5Eu4eEhCgqg0EQSRHVoWEmpoaVFZW4m9/+xsKCwsj/1566SX4/X4UFhbikksuwdChQ+F2u/F1HEX866+/xrBhw+ByubLwDjKPMVC/dPJAcBywdk+tpYPphpBu7eW1FnGlLmh9Usd00EzlHxVmrZBQJx9ueR2LV38MC3gmBulGMr1MDzRFRYsMnAtcxiBXsi60QdLAOfTBCyeEEJQ6nyMmU8iqBlff/wIAbN7dlk7KW+dIsNIiHeV2OAYTnZdN4mlTSIHfwhKNTHNBrD4z8rjBWAHsRIiqPhHaVLmpw2Mrm0KYdM+HuPHlzR0eq2gM3uF/gWfQU2hiu9Lu5/HGm1+VY9xdK/DShpbr71BdiwXfSveUpGiw5W9CUG3GQ9MfgVilJ1+1yvmVKlFCgtX35mNR/hHo2kJChh0JAJB78lgUnH8+HF6VHAkEQSRNVoWE3r17Y9WqVTH/vv/978PlcmHVqlW4++67YbPZcO655+J///sfmptbbqIHDx7EqlWrMGfOnCy+i8xiTEIH9/BgcA99InewzrofXUNIsCEHTNMz+LaOG842qkk8UDWLV0VMMYKyxcmkpAyGNhi25EwPNM2rboUufSDDWRnaIKuwefZHHgdUX9bjgo8VrW3LVmbON1/LjMHasIlj6EjYU9WML/bXQ+A5OGz6z9XRRutinnktF1LNWZBqTwMANMmdT0hIhj1VPoRkDV+Xd/w+zNdbAPsz2KuuybbwOVyzuzqy7VB9y2+vle4pSdFgz9+I5QdehcIk2JAT2Z5NzC4E6x0Jx7D8Y1clkmzRlCNBDkSLMGm0Xb/Hg/33v4W6Nz8Kb2u0pm2CILoNtmy+uMvlwvTp02O2L1myBIIgRO1btGgRJk2ahB/96Ee49dZbEQqFcOedd6JHjx749a9/few6fYwxBhIOQUC+W69v3hi07kbfGFa37ZwLouYAoKC+0wkJqulvax0J5vmVrDI4LfxGKBmc7BurwpkWEgKyCsGzB66SlfjntoEAwqENFiZbBGcarPIBSKoGp02wpP3OjNpKOLBScIptm8GqU3osyz++vEHPZzNjZE8cqPVjd5UPRxuDGNbTmrrwAVG/jpmqlzX1K523ok+xu7jDY4zPI5HQI1XToAb7Q3AfBqdYWzXkeMA4l3urWsJfzCJ+0MocCaoGZ7hqQ649F05bMxRJzX7lhmPlSJD8bR+Xbttd1ZGgyoAcPi+ughZHAqC7EjyxyceTItQIyWdDcFc5tDfehr2PC7n9QkCwHvD2TK9tgiC6DVlPtpgoo0aNwurVq2G32zFv3jzMnz8fw4YNwyeffIKSkuN3EKQ6v4Gr3wt4o+w/GRESmsM/4A7eDUfdfAT2X41cW+c6nwwtgymrQxsK+ZZs+YrVseQZdCQYq8KZXhEOSgo4eyN4TxmO+I7oG3kJIYtsvSFZBWdK8MkJAUtjjzszrR0w1uZI0GAvXIucIQ+CszVYep3IxyjZoqio+O+XeujRjyeVok+BnkvjaIN1K4w1gXrwjkrk2POg+EZCDfW2rG2ruG78dejl6YUZpTM6PNYQFhOZgMoqA2O6uqSw7hNSlCjGd6asxh/5bThU17JybpUjQVG1cL4U/bpevH0xbEUf633ItiMhkzkSjlWyRbWLCgnmEAZnLiDYAZs7dl/K7TdBk3VHprhnDyo3F+rbKbyBIIgkyKojoS2WLFmCJUuWxGyfOHEiPvzww2PfoSzBGIMm1MOVtw2bq73Id58EAGiyUEjIQSnE6pkYUDoUh9go1AUDYJrdsvatwJwjQbB45ayAHw0AYEzIWFI6q7Pmm9vM9EAzIKmRAe7AvIEoaL4GK3fUQxxuXWgDTEICUz0ISCoKPJY036lpHcpg5XWiaAyu3ssAAM6e70NW51natoGUgWvbYMuhRtQHZPTwOjB9ZAk+/EavWHOk0bpJx47Gz5Az9HE4lLGo330FXJ7Ode8DgGsnXItrJ8QvjdwaKQmnkqoxICIkWCvQHg8Y51AKV2oY1CMnypFgVY4E4zPjBP26/vzo5+C8JQBOzXqOBMFUcttyR0ImQxuOhxwJoQb9f3uOLiIAeoiDL2hNwsVQY0RIAAA5wIExgCMhgSCIJOiUQgKhI6sMzl76ZGBj1XpcULAAgLWOBBf6Q6qZiVGjBqPGrie962wl+LSwI0GsOgsO+wnWtq3pA2mOUy2flBuJ6Lpy1Qa/qIILZxDPc+QB9hJAlSwTXYJmR0L1xWBSSbep3KBk0pFgmuAzzWFx28fGkWAkVeyd74JN4NEnX1+Nq7AwR4I/PIHxOnJQCaAhKEPVGAS+/VLEnZVIaEMCn4usarDl7NP/5o9mtF9dEfO1vbfah0E9cnDYnCPBKiFB0QBokUoNACJ/Z1tIsPfqhcFvvgn58CE4Bg2ytvFMJls8HnIkmPIj1L3wH0j796NXnhccKq1xJISaoMqmeDcNUEUeNj9VbiAIInG6TGhDd0RSNTA1J/LYbtfDEKx0JBiD9RynDZp7J+yFn6Gsca9l7VuBEBoNsWYG1OAgS5PGAUBIaTb9be2KizFRzEhoQ2TlMbOT7qCsRAa1OfacSO6CkFXlH+WWAbSD1yuvdJfQBkVl0CTdTuovu87y8o9yo16TXhN7QlYsTORozpGgZu6zEiP5YfSfqV75+qrcEQuFhEB4ApPr0O+zjCloCHQum/9Plv8EJ71wEtYdWdfhscbkV9VYh6FaZmeJ1k0SnCaDeRK/p8oHv6igxtdybVgleEqKBvASOM70GUSEhOzfC10jRyD3zDPhHDrU2oYzWf5RPR6EhJaKDZV33436F15AoCpcnSyUpiNB06JCGwyUIE+hDQRBJAUJCZ0YWdEi1lMAkIRyANY6EmqCFeCdFRBsAfgda+Dq/RZ2NcaW2cwmXGAcpOrvQw0Mjcl0ny4HVD1URlNyYxLUpUsk/CCDVRuOSWhDOAmY1+7FPnkpnL2Xok6stKR9syPBYQfAB7qVI0HxD4fSPApM9Vgb2qBqANMn3hwvW1taUjs2jgSjzw4bj6+rv8aDOy+EvWgNjlpY/jaohldC+RByR94J76g7UefvXFbobbXbIKoiHt38aIfHSqaJZ0er2eZ7KQsMT72DxymtHQnmig2Adc49UdEi4WMGDBIALes5ErRAANL+/ZArq6xvPKOOhOMgtCEcvqBxLYlllZAjvC9NR4LUDIBBU6KnAHJQAAJ1wOFNwNPTgB1vpvc6BEEc95CQ0ImRVQ3gWn4QfUzPYG6lkLBbWoqcIQ/j28AHsIdXhP2SxT/qaaJoDI7ij+AddTuaPK9Y2rZm5DFoOAkas7ZSQGaTLbbE72YSPUeCPhDz2D04IH0MR+HnaBStWbUISSpCR2ejt2sofHnPwVmyotOF1mQKRWMQK+YgeHg+mNzD0mSfstaSSA+clLGwiUzk/zCIVKyxCXh99+sQtRAEZ4Wl5R9Dii5KFDh6hFeFNRxp6pwlIA83H+7wGPP9oCMhQVJafkeUUK/UO3acEi0k+KMSLQLh/C4WICoamOIFym/G02c9rW/kGMDJWQ9tCGzciL0/+CH2TJsG/4YN1jauSmjc70bzEWeGHQldVEgIOxIUrcWVqkjhaOR0cySE2+YEDpzbHcmFoQQEoGoH8PJPgaNfAVtfTe91CII47iEhoRMjKhrAtQxW6uUDAKwVEkRN/wHPdeTAwesxyH6rVwfSROHqwDtqwXEaNFibFCxSTpIJlk/4Jc0Pe9EnkFFvabtAy2Qu0ytWepgBBx4OeO3elvAD1ZqBX0hRoYUG4MSiswAYVRu6R+I3RWUAH4R7wNPwDHzCUhuzqmpwFOoDfyFnn6XX9rGq2iCZQhsawonH1FBf+EQFTSFr7oGiposSBc5CcGEHR3lT54wR1tDxuTZ/Hh1dT7IpIZ2q0lCgNWZRZk+VL5Jo0WHTz5VlyRYVDYANTm0ApvSZAp7T2+cEMeuOBHPVhvqXXrK0baW+GUfWF+LwJ8WZrdrQZYUEXSxQFVdkkyqGxeG0hQT9+YNnM4za/CVyZ84EAChBAdj+P8BXEX7BzhXmRRBE58PS0UMoFMLOnTuhZjButjshqxo4kyNBEPRBhZVCgmwICU4vnMYkUbH4Rz1N1ML/wl6wCQAyJiTYcnbBZ3Et6zrPC3D1egeu0n9ZnttBSiDZ4qG6AKqb0xtE+SUFoSMX4yzPs5gzfE5EbAoq1ohNRj6EfGceAD1zeXcJbTAm5LacMgiegwgp1n2voyor1MywPP+CQSZXTA2bvtPGY0/DHgCAG/0BWFcCUtJaki3awhbiCl+dJW1bjcaSFBI6yGMimoUEoTr1jh2nmM9lY1DGV4caAADDSvTrxOqqDU4bD47j4LGFS9bwnUBIkE3lHyWLyz+ayjoz0drfXmimz6aL50hwDuyNAc8/hwFLFqPn7An6vnRDG0z5FwAg//zz0Oe685A3oNXYL1EhobkSaDiUXp8IguiSpCwkPProo/jzn/8cebxp0yaUlpZi7NixGDFiBA4doptKusgqi4Q2vDPnHdwyYREAoDFo3WRaZvqPbL4zB+7wACYSN9xJYCZXhsasnWQapSUFz0FUBawdTEuO7QAA3lljudvBcCS0NZHziQq+//AnmPvkZ2m9jjHR9zgEcBwHp6ALCSGLHAkBWYW9YD12NX0BQHckdJfQBlVj8I74U+RxyMKVM0Vj0BT9+8zkAktDEMzXcibCdgyMCZYgSDjUrP+eeAq+AWdrwFGLSkDaQmMh1Z6K4QWj4eJzAQBVfusdRFYgJ+BYEZMKbTBNErybwSjhYhStHR2f7NJ/H0b21q8Tq0IbJEUD7yqHkvcBVh9ajSU/WILxuBdMKsx6aAMziZtMtnZ1mhda3hsLUWhDDGHXAe8tRM7JJyNn8mTAqV97aSdbNBwNYQHfM3EiCn44E8788Nhy3MX6/4kkoGYM+Od04MmpgNxFRRuCIFImZSHhmWeeQUFBQeTx73//exQVFeGhhx4CYwx33323Ff3r1oiyCi3UD7zcD167F/lu3Xprla0XAFSEY4SduXAZk8RO5khgJvGAWe5IMCcns9rG15IR2eoBYSRHQhvtVjaFEJBUHKwLpDXZMyb1boduqTSEBNEiIUGUQ3D1eQObalcBMEIbuoeQIKssKlO7pUKCqoELC3DM4rAdc46EYxHaIHIVYNBf0+9aDcF92LI8CVrziRCrfoTxJSfALeiD9Npg5xQS1GQdCR0ID9Hakma5a6qrY5zLXKcel244AUf00q+TgEUhWJKiQXAfQCBnOd7a+xZGFo1Evr0vAFtU8sxswGSTkGCxI4HjzEJCBss/ql1USGjlGgAQmfhb4UhQRA77X23EoWuu1UXEQacBYy8AfvQwMGa2flwijgRVBpqPAGIjVXwgiG6ILdUnHjx4EKNGjQIANDc345NPPsHLL7+MOXPmoLCwEHfeeadlneyuyBpD4MB1GFDkQaGrEDboP46SoiEkq3DZ008OqEH/kS1w58Jj11cwjbwJnYUoRwIsdiSYhAnR4nhAoWkm1Px3oQb7WzqRY4xFVpjbEiiaQ6YknSEFhTmOlF4rIKlw91+CNU05uMJ/H1yCHv5ilZDQOtdCdxISJDV6YB60cMVPVhk4Qf9u2/O2QlZ/YFnb5glnJpN9GhO5IFcetZ2z11pWucEfngzmOATk2vNQJQP14XwMnQUeTmgQwXMd/1ybhYSOSrQK8ECsPhPOkpUAr0LRGGzW5pvt0hjncnTfPGwoawl3GdXbEBKsSraoguP16znPoU8UneE8DNl2JMCUI8EsKliBWNEi2GliCJZeeseDIyEsJDTvrIG4459ofv998JwffYfxsKctJDRBk3gEDwfBN2wEkyT4P98AxT4bBSfNBnbr1awSEmHM4yarc10QBNHpSdmRIIoi7HZ9hXzdunXQNA0zwwlbBg0ahIqKCmt62I0xJp92gcNbe9/CFSt+AlfPFQCsyZPAGAPj9JW9Ik8uRuSehMCh+RjAnZ9221ahV1UwrVxY7EhwSt+J/B2y2JGgSvqgUC/tZ92AUJ/IMYAPtDmR85mFBDH1cxaQFAg5u3EopOeoMMJfJIvEptbuF04Q4ZO66MAvScwx6gAQsnDlzFwBwpa/GZJiYWjDMSr/aNj0/Sy6WgHvqMURixwJAa0KnK0BTjsw0DsKim8kZCnXkratYpj6azDVhTyhb4fHJuNIUDQGsLA4wSkZrwCTLT7bU4N73t6RdDJT43yM6ZMX2cZxwLCeXgAaQhYJf5KiRUQ/r92Ld8veRZn6OnjX4eznSDALCZK1v48s2PIdZqLFlvio8o9d1G5vCAlfHkD1Qw8htGMHAtsPQG62WVK1QZX14T/v9UILBHDo6l/i6K23QZMkwBZeeFATGGdGCQmdKyyWIIjMk7KQMGDAAKxZswYA8Oabb2LChAnIy9N/cKurqyN/E6ljLn8mqiK+rf8WDo++OmeFkCAqGqS6UyHVnob+eT3R09MXqm8UBKVf2m1bhcpYVOUKNdQ3UrLRClyhyVDFEgCAmMiPZhKoob4Qq8+A3HiCpQNCRWNw9nwHuSP/BNG+Le4xzabwF7M7IVl8Yggcr5//HHsOvt/vMvj2/A550syU2zQTMpJ92vMw0DUFUv1k+C0esHZWxFbJFUULV84k00Ca47QMln/MvCNhrHcW/j7977hk9CUAAN5RZ0mOBEnRYO//FLzD78OR4F6cO/ASBA9dAfi/0/GTjyEOZTB8u+7CWYUdhwtGlX/swJGgqC0lQjlOjfpcjyfuf28n/rWmDOv2Jme7NtwAo/u0CEt989344+c3IHf07WCeHZZc/5KqAbxRPSkX75S9gz3SmxBc5Vl3JDiHD4djyBAA1jsSzKESTAzpsfZWcTw4EsKuA9Uf3X/JJ6QvJIiN0GQ99JL35kAoKADn0MUDpaoaEMJCQiLnznyuyZFAEN2OlEMbLr30UixatAhvvPEGtmzZggcffDCyb+PGjRgxYoQlHezO1AZrkDPsXlTyLowo/Ju+0XEUgDVCQkBSIdXOAAD0yy2Bx6GLFJ0pa76qtQgJgYNXQvWPgKxpcPLWGCFlTQPCg2nJakeCUAWAhyYVWzrhklQNjmJdxFNzVwO4KeaYZpMLoTmNnBp+2Q/oxiN4bB6UeHqAyUWQFXvKbRowxiCpIdgBeO25+EHxb7Ft8y7I/VO+LXUpzNcbUx2QLKx2o6gamOoAJ0gAWJcu/1jo6IWzBo5AibsE//nmP+DtNZbkSPCLCjhO/24Uub2wK/rguS7QuYQsOYEKLQbRjoT2j6+TD8DV6x39AadEuViOJ4zKNckKqsb5G9OnJUa9tMgNl7Fay4cQlFXYhfSKX4mKBk7Qr+dcRy5y7Dnh9sWsu0Q8Eydi4HNL4F//OQRTTiwrMCdy5KDqE1JbaiF4MRwP5R/D/Vab9FV+oagIal0dZL8t/WSLoUZoYUeCkOMFx3Gw9ewJ+fBhKFWVcPQiRwJBEImR8oj9jjvugM1mw2effYYLLrgAN954Y2Tftm3bMHfuXEs62J0JKEHw9kYoLIjhBcPBgQMTmsAJPjRZICT4w5NNl52HwHNgvB+2/E2oUL0Avpd2+1YgqxrkxhOgBgZDkwsB6CtpTovmmhJrAGfTS0+FLHQkMMbA5XwNR/5WMNVtqbVcURkU30jYvN9Cbjwh7jFWhTb45GbADjh5NwRegCscRN3RamciiIoGjtcHIW67G26H/qEGTEKWpjHwPBf3+V0d43pjjINv1yIUjBxgWduMCQgc+jlyBj0JwFrnwLEr/2g4svQBb/9cvfQjZ2/E0Qaf/h3jUr82/JIC8PpgPdeRA0c4j0i9v/NYoYNKELvcC5AznEdAfqzD45MJbZDME4DjOLTBEIaSqbLAGIucy175ThR67KgPyHDn7cXaI58CADg+hKCkIs+VnqgqKRo43iQk2HLC7YsQO4GobyspQf65P7K8XcPh4CqU4MhVAdlvnZCgHgehDeFQN6VJH5+4x42Db/XqsCPBghwJEUeCXs7U1quXLiRUVgJ9S6P60H4/KUcCQXRnUp6OcRyHW2+9Ne6+t956K+UOES0YMfs8bPDYPeif2x+Hmg+Bd1Za4kioD/rBOyuQ4wqXs9Lq4O77Gqq0XAC3pN2+Fagag1x3etQ2xcLQhub8Z8DbmqH4RqDIbt1ETtVYZJWJd9RZbC3XYNTg1jQBiqrB1mpVzLz6lk5oQ0DRBzGucG6EI6HdcPZ8B032PgCmpdwuoJeW5MITuRy7By47AD4An6Svarz6xSH8afkOPHP5SZg8pDit1+qMMMZB8Q0PP+IsnuxrgBae4PAyJAtt6+aV60xOPmVVA++owlbfdmw4Oh2Tek+Cx+ZBQAlA5KrRGJRR4El94tEYFCNhOx67B9uqN8E78o/QxN4Qle/D2QkyD8qaDMaFwNuAz/z3Afhvu8dHhTZ0IPLIJuFUrp98XIY2BCU1knQyGSHBXC7VaRMwtMSLjQfqYXNVIJyfGJwgWpJwUXcktIQ2GI4ErhM4EtTmZmiBIPicHAjeHEvbZrL+u8QZP11yEHAXWtP48eRIaNRFA/d4XUiQfRblSFCihQR7r54IApArKwHbMP24RKs2GJAjgSC6Hel58oiMYmRx58Le8iH5eqwi76i2REgoaziAnCEPQ+79dwBAQVhQ0LjO88NriAaCuwzeEXfBM+gxSy24LDwhl+qmwsP3sKxdWWUQXHqSOEfRWksHhLIp3ANMiNu2TzTlSEjDkRBU9IGBJ7xKVh06CEfxJwg5NqfcpkFIUaEGB0Auvxw3nngD/lv+J+SO/BMqlM8BACt2VMAnKti4v66DlromDi4PwUM/R/DQzwFET17SRVEZmKZPsjlOgmyhc0A+VjkSVA2CZx8+q/s3ntvxHDiOw2NnPgb7kd9Bk4pxpCG9lca6YMuqnsfmQZE7BxwvgxMCqPdbGw+eKoop10WDtksv09YOZvGgo9VsOdy2KpZA9Y+MlJQ9njCHqSQTsme+pzptPH40rg/yXDa4c1ruRRwvWlJhRlI0hI5chJMct2N8yfhI9STwkiXOr3SoW7wEe6ZNw75Zs9D0wQeWtm04Ejg+fE1buZodlSOhizoSlBA0FdD8+nlxjRsHAJD8gj7BT0cgEZsAjQPndIAPC0S2kp76y1ZVA0JYhE4k3JMcCQTRrUnKkXDllVcmfCzHcfi///u/pDtEtCCGbWVG2a/B+YPx8eGPwTurLBES6kI+vX2ml/TLd+nKNDgJGtPAc9nXmVSNgbM1QnA0gxNC4PiQpY4EQ0gA462NI9c0MHAwjNdWTuQUVYMtpwwA4CxZAUn5NVovzLYu/5gqoiqCaTbk2PRrI9ehDzqMsqHpEJRUMDUXdum7mNxnMrz2l/Ttqj7BO1inixjZTjiWKYwVYGfP5eCdFTgcuALAMEvabpKr4B0WzlvDy5bWo1eOUdUGSdHAO/XqP8MK9PMyqfck9MkJoa6xCUcbgxjTN/WkvvVB/f4HJsAu2FHo0ldDOSGAOr+E3vmu9N6ABcitwq1kTYZDaNuFkUyOBIWF247kiDn+HAn1/pZJTkflMM2Yz6ND4DF/6mBcfsogXPn+yy0H8SEE5fSrCEmKBk3qid7OASh0FUY5EsQsOxKMqg1KVRWO3nY78s46y7K2OV5/b4FqJ/yVDuRYuZptrtpgcVnnY4YiQhXDYzBBgGvMmMguTQV4sRmwOVNrO9SIopF+FN37GtjAUwDooQ0A9NAGIdxu0o4EEhIIoruRlJDw0UcfJRyTmk7sKqEjhtVgIexIGF44HHlCP1SrHkuEhKaQPmGzcW4AQKHbG9kXUkItKyNZRNEYPIMfA28Lrx5anIGeQQUHQPDsR71YDWCIJe22Fg4sdSSYVoQ5IRB3wmBVskWxaTj8NXfjwV+fBqBFSGAWuFaMFUK3XZ/IGDXUJU2Pfz9Upw9Ksl0CLVOo4Qk57z4Mm2c/mhXrnBeK1jIADOy/FnJpZqo2ZLT8o6KBd1YCaBESAKBPvhvbjzSlXQKyIXz/46EPmvOd4aR6fAivfHEAg3t4MbjEi2kjStJ6nXRQWPREVVIl64SE8GRLcFWAdx08Lh0Jtf7UHAlGfgkbz0VytHAch/1N+yPH6I4EK6o26K/lDOcC8YTDyPQcCZ1DSACsL/+YO8wFd7GEYK1DL0VIjoRolBBsTg2DX/gnVM0JW2EhRn65CfzDIwAJennInBRdlEayRldeZKzuPf002IqL4Bg6rKVqA1PDqkU7YV6UbJEgujVJCQn79+/PUDeIeITC1jWB04WE84aeh/JDY3H/tp1oHJC+kNAo6ityNk5feStwecAYB45jCCiBziEkqBoA02CKUyyO5Q0P4kpWYq9/GKxKMqm7JlrENCsnXLKqgakucEIITHPFbduKZIuMscjgO9epDyzyXIaQIKWd7C4ka+Bdh8HlNmJnXX8UOAsAABJrRo1Pirz28epIKA/shXfEwkgNecnClTMpPAHVFC+0UCmsnI+YhSxFYxlLiCkqKgSX7kgYXqjnkjjUfAjNrvdgL/SjonFoWu2rigtS7VT0L9QFVENI4DiG5zd8A6bq1/onv52BAcXZuReaQxsAQNLav0aicyR0FNrQ8hvi6vM/yOqPU+hh58bsSEgmDKF1ok8A8Ek+1ARrAAAudShEsQ8CUvqOhKAswlG8Cgfk/lC0kZheOh1XVT6Mh94/CsmTbSHBVKJRltO+50ehKuAE/V7CVFg7CTV/b7pijgRNBTQFnAC4Ro8BcvQcQbzHAzhzAak5vYSLRo4FZ4ujyzlsGJzDwoKtuW1VAnh3O30lRwJBdGey710n2oQxG9RQL+TwvSLb8t26qNAUTH8A0yzpifQc4R8Jj8MGhOOqm8IiQ7ZRNAaOMw0AOdXSlTPGtZxHuYNBejLoA9GWAZfV8e+hynMBAJrUI74jweRCSDXZoqhoMKJIXA59RSLfGXat8GLa7ykkq7DnbUUg/99Yvnc5Clz6RE6GH4fqWwaVHU2IuiqSKkVEBKDjSWIyKOEVOS5sW7c8kaOJTCWEC2r14IQgOPAYnD8YAFDhr8CO0CtwFK5HfSA9MVVg+RCrzsVIx08AADbeBk84hGfGmBx4w6VhKpuzt6LZOrShI7EpypHQgXrEaR4wpg8BuOO0/GOdSUhI5j5inEenSUgw3Ag93D0wQrsVUu10S0ol++RmOHu+j02+xeA5HsXuYgzOGw2mFGa/aoPJkQDGoh+niyZH8iMwjbNuEspYq2SLXdCRYBY/WocvOPVcVikLCYwBSghVW3Jx6LeL4F+/PvYYs+upIyGGHAkE0a0hIaET08M2GoGym3FyTksFBV1IYGgMpq+yG0KCMywkuB1CJEFbQ9CfdvtWoJoTCwLgONWySbmmMYBrGTzLmnWDJEVjCB2+JPJYVKxL3iZrWkTwAS/FdyREhTakKCTIGuwFG+DuvwQrD+n15vOdRvyulPYEPyipgKn8Y5GrAACgwY9DdQEYTpRs23szhaRFXxOKheVH5XD8O2dvhL3oY/ikRuvaVhnAB8DZ9VCMTAkJAU13I/Rw9YEzHLNbmquXJeMcdWhIs0yjXwxXbHC0GPOMa/DGs/qhtEh3IViRUC9VHIIDLDQw8rgjIUFOomqDRxuBwP5r9QecYqnY2VmoD6TmSBDjOBKCShDDCoZhZOFIuO22pNtsi4Cii/YOzhPJS2QIGNmu2sBa5YAwEiRaQcPWJvgrdDckUznrJqFaq88kkYSBnY2w+BGocqDm2X/Dv24dAKBpxQocXCahZrs39coN4XtIsNYB36froNa1hNT5169H/cuvQGkyfRYd/S5R1QaC6NakJSS88MILOOmkk5CTkwNBEGL+EelhxE46TKX9lpU/Au+Iu1Cpfp52+345XNpP0AfMThsPqfICBA5dhgJ7z7TbtwI9jMEc2qBaFtogaxrkhhNbHltoLZdVDWqoT+RxUO5Y+Lnrre148P1vOzxOURkQWUmU4w42o5ItiqkN/oKyCt55FLbcnTjsOwgAKAgn5OR4GYE0B5UhRQUXzrXgsXnQw6Mnu9N4Pw7WBuAufQ6eQY+jSu74nHRFZDV6kG6lI8a8ku3q9S58qnX5F1RNg3fEn+Ed9ldwtqaM5UmQNH2FMseWG9nW09MTNs4OjtNQFapIq/2GYDM4WyOcjpZzNan3JJze/3S4bC647fp3zIpV51QZkDcA0sHroSm54JgjJmdCa6JzJLTfb0XTIokWwam6QHmcUZdqskU1VkiY1HsSlp6/FE/OfBJuhwBAs6T8Y0RICP8ON4Qa8EnVq3AUr866iMpaORCszJOg+Ez5F6x0JLQSaC13JNTuBf5zEXDgM2vbNRN2AfgqXah+5B9oWrECAKDW1cN/QESw1pG6IyHctiZHl38EgKN3LkTFXXdB2rsH4MOVG9RkHAkU2kAQ3Y2kciSYeeutt3DFFVdg/vz5+PLLL3HllVciFArhrbfeQt++ffGTn/zEyn52S4wVIvNgxm7T61f7tCNpt+/FEEi1p2LAkBMA6MmkHOJ34ZdU8Mh+fgTAcCTogylOKYYiFlg24FVUBqn6h+B4EY6i9VBaD0DSQFY1gNkg1Z4KxmyQOhA/anwilny2HwCwYOZw2IW2NT5F1eAu/TcAQHCXx7W/mnMkpOpICMkqOF4fRHjtLXHk0oGbIck2pJuw3OxI8Ng8GJRfCrlxHDS5B/ZUN0Lw7APHy9DUFDNTd3JaX2+yhdefyqKviZBi3QBPURk4zijLejBzJSDFIfCX/Qo/v7BF7OM5Hj1cfVARPIg68WhazX/r+xTe4U9jU+BEAM8BAP409U+R/W7Hegg53yIojU/rddKBMQZJ1SDtvgNDSnIiJYDbIqlkiyoDmD4E4CwUaDsT9SmWfzQm8I449+GDzQexRroK3hE8gvKLafcxqIYFfV53ezVLzXjz4L/g6OGAVP+jtNtPB89JEwGeQ+N//wfAWkcCMwldTIN1k9DWK+hMBVQFEFIe7kbzzTJg9/uAuwAIVzywnPDkXZX0ybytsAgAYC/tDwCQfEJLwsSk29a/E6qsX9tmIcHRvx/kgwchlZfDY3MCktxx5QZyJBBEtyblO+t9992HW265BX/5y1/wf//3f7juuutw4oknoqKiAqeddhpKS0ut7Ge3ZG/gU3iGvISv/JMA3A8AGJI/BKuPACKX3mocAORooyFW5WLsiSMj29wOG/ySmtVVODOiKkcmLYUNv8WBalg24I20Y8SRd7DalwyyymAvXA9NyYPSeCLA7O0eb574B2W1XSHB7EDQpOIYR4KmMfgksyMhtfcVlFVA0FdzvA59sCHwAhxaP4iykvZKdEjRwBlCgt2DUcXDEDryUwDANud2cLkyNMUDHr3aa6bLYg6lYYyHyizM/aE6oYSGwebdAwAQVetW5eSo8qtqxhwJiuyEFuqPofkjorb3ySlFRfAgmtX07oEBRR/0umzxE4mp9v3wDFiMQ76TAfRP67VSxVzqNpHzbC4X2NFqdg33CXKGvqA/4JXMCUJZpNaXmpDQ4khocVYaiQZdggsqRIDnEUjx3mompOqOBLeg32ONJMd6+JiFOQlSoGDuXBTMnQvPCScAgg18To5lbZuFBN7GLAxtiHPOlBAgeGO3p4IheISsCxeLQTGEBH2ILhTpQoKjv34fkv0CWKgRKaW9NBwJSlhIyGk5L/Z+/fT2D5cDQnjM0lFoCDkSCKJbk3Jow7fffouZM2dGMvgq4R+83r174w9/+AP+/ve/W9PDbkxAbYTgrEaI1Ue2jSjSV6SYvSrtAbw/PAgykooBgD3nAGx5X2JP/b602rYKRdMg1X8PzuAU2Dk9L4BVScFkTQMn+ABeDr9W/NUWTWOo9SWXk0JRNTh6fARXr3fACf4OPyvzZD/UgV1WURmYpn9mgQNXxbTtlxQwBnC2RoAPpOxICMZxJACAMzy4TreaQkhSI0KC2+aGw8bDFs7+f0TcDgDgbQHUaJvSep3OiiEksOBA+Hb+BX1xjmVtO9SBCB76BVzaIACAZKWQEGWZ5zIX2hAnTh0ASnP1wXRQq06r/WDYpeG2xXdf7cMzAIBGMYMThg5Yd+Rz5Ay7B+7SxR1+3xhjUZ9FqKPQBpiuCc56ISEgKSmLmFZhdiQkk7iwdbJFjWmY/up0XLTsokhSVI7T0CylP3ESNX0C7Q4n+syxt0zWRbVzTMwK5s1DwQWz9aoBFsHC11vRRA8KhwUy50gAOl5VT6r9cFvtCQmKCATSCCcLh2Ooon792Yr0sD9bL11UZyoPrTHF9sNtG6ENgrfleosICeXlQDgvTceOBEq2SBDdmZSFBFVV4XA4wPM8cnJyUFHRsjo0YMAA7NvXOSaiXRkjZt/Ot2TQHdNDL4PGO6rRkGbCxXqpGpytAQ5bywBS8X4Md79XsaXmi7TatgqmCRArLkBB4BLYBT0xU/SKaOpIigrviLvhKNwAsWYairkJcY/7w5vbcNI9H2JbeeITClll4MIVITh7faSUZ1v4xWhHQvttqy0JKJkQM5HziQrAh+Adfi+8I/4MXyg1O6o5tME8uEXeGjhK3kW5Lz1reVCODm0AALeDAwQ/4NodOa6R+zKt1+ms8MwNNTAQghIevFloLTe+IzZOHwxKmnUl0BQNUAKDwo+4jJXnlIR9cBSvxvb66HtRr3ApNJnzpSVihMKTNE8bjgTj3PmzuMrmEwPg7c2web9FqOhpfF39dZvHGteP4NkLztbYoSNBM63cipWzIFv4OTLGMOuRNZj5t4+z6nSo87fc+5JyJLQSsSr8FagL1WF3w270zukNoyJPs5RGCT7jtTTdkWBUDHEKTvBcWKzVsiskqD4fVJ8vJleCFbDwOeac4QmrZY6E8GfO21vi/K3MkxAREtoJLfj3BcBD3wH8tam9Rni8oIjhyX7YkcC7XOBd+ntSalNsW5XA1HCCS0SHNtj7hR0P5eUtlRuSCm3oHMIXQRDHjpSFhMGDB+PIET1Of/z48XjppZci+15//XX06dOnracSCWLETNv5Flt8aV4/gAngeAV76g6n1X4ZnoV3+H3YG1gb2Wbn9Mm6r5Moy2p4QiTwGo7m3Yac4X9Gs5RibGArQnLLD6RUOwNeNirucduPNIEx4KtDDQm3LataZLLvGbAEVeKhdo83J+3qaMArqmok3IMxIWYi1xxSwDv0euccxyCxQEoVFnQhIRzaYHIkKDmfwtnjYxz1lSfdZuv2xapZmJRzPYYX6gIZBixC7og/Ryz5AKCgC9YBT4BiYQwCB66F13cxAItLNIbbsoVdPKKlQoIG1T8UctM4MCU3YxNFxbkbzp7vYV3lR1HbfzxqHgL7boFYOQsNwdRXGo3V3hx7/FVWO69PcAJZHBwHzbZiz05UBavaPFZSNfDOcngG/guewf/o8DuvhkO51MbvQa4/NSqMIl1Csob9tQFUNIXQkGaZzlRhjEU5EpJLtqifO8ORsL9xPwBgQO4A2Hk7HLx+zfik9Mske6STEThwNWb0uRCAnqvILejilqhm93e4fMFN2HXSJFQs+hOaV6+G2midO8dwJHAOfcxhuSNBsAO2cNtWCgnGokB7joQjmwHZD1TtSOs11GBYSAjnSAAAIU+/9tS6hpTb1lQOYa0qKlylJbThMGBLVEig0AaC6M6kLCSceeaZ+PDDDwEACxYswCuvvIJhw4ZhzJgxeOqpp3DNNddY1snuihIRElocCTbeBl4pAQDsqtubVvsy02/6+a6WrOh2Xv/h9Uudo/yjpMrgBD8EQYLKN4K3+RGyqJxTwOwSYEKbEyIjDraqOfHJmKJpUWUrOyrbZrYAd1RSTDRlUc4Z8hD8rey1zSEl4oYAAN7emFJ4Q0jWgHA7ZkcCD/0aaU7zGgnKKlT/cIzyTkeJR7+meRY7qVNZF6wDngDGCjLn/Rqu/s+jAh9Y1naz7XN4R9yFBugr2LJmYWiDqkBunAix8kdQg4MyEtrAGNPj0BHrGOiZU4I8oR+gedCYxiTVEBK8jvhx38a9MJtCgtjKpi23U4pNUrSWcrbM3qFTRIX+3bZxepiUVU6vSF/ChLKUb6cppESEaCC9ZItlTWUAgEF5gwAArrCQ4JfTFxI0JQ9qYAgG5Q6NbPOE77eSFtLLFGcJw4nQ8NprOHzNtRAtdJoKNv3zqFl9FNXbvIBkcY4E3g7Ywm6HDhyBSWH8lrdVflEOtbgrfJWpvYYigmmAGgo7y8KhDQBgK8yF4FSh+VN0w6gSBAfDqKsdGLV1CzibKbTVEBIqK8E4w82RTNWGzrEARRDEsSPlZIv33HMPRFG/wVx44YUQBAH/+c9/wHEcfve732H+/PlW9bHbYtSCdwiOqO0ebRQamguhKOllIVbDMbL5TlP8O68P2o1EZNmmLlQH74g/4xDj9aSInArJIpulOZEV7zqCZjW+rmaEHVQ3Jz4ZC8pKxDUAoMPQhoCUeGiDqLRMJnh7M/ytMvL7RAUQTJ8fp8IXUtDDm1z1g6Ckwr/3Vpw6ohDDCoZFtgucEzIAf5qDBmOF0GVvSWgmIAcaqsE0GzjmBAQ/NHTBOuAJYLgGeHst7K4d8Cv51rWtieCEENxcCWr3z4a374iOn5QgQbUB3mF/BWMCfDvvyUite1ll4MK5Szz22NCDAo8D9QEZ9WkICQrTv5N5zviOBKfgBGQgaHX5uCQQW4mmwXbuI5KiAZr+Hec4qUMhQQs7EnjnUQju/RCV4Wn2tgVRbbmHZUtIqDeVfgSnICQl/ntpXNN2AdhUuQnv738fADAofxAAvWRykwIEUnQMNIqN2Fq9FVP6TonJxwDoLpnqIMDxIkKKCo/DoooDSRJb/tE6d0nPCX7wfAjVW/Mg+20tk1DJD2z4JzDqXKDHsPYbiUfEkWDLvJCgqQDfqtR5qKHl7+YUE8IqIYADBl/eE+r0+yAUtggJA+++Ftx/rwD6D22ngfbaDp8LwQnOET22tJX0QJ9774W9X19g02/0je2IlzH7yZFAEN2OlH+dnE4nnM6WicmcOXMwZ84cSzpF6KiaDPDRoQ0AMAiXYN3hWpScOjqt9rWwkFDobnEkOAU3oAEBC8vFpYOshvMMQADAgUGFaFHiJPPkPmfQkzikTQRwXsxx/rBDoKop8cGI2Kr2cseOhMQH3rLKIDePgT13R7h/rR0JMjhB3yaERkEL9UvJkWAIGjl2BwTTYMkWdiSkKyQEJQW2vK9wVG6GrA6CXbDDjhzIAEIVszGyR38cFB6GdpyGNhyUPkbOsJdRb9dXllRmYfnH8GpzsX0oqgJDAQtFCkPgBOMBqBkJbZBUDeD018lpJSQ0hBqg5r8HB+dHQ2Biyq+hBYZCCvEYVhB/Au0MOxJCWUx4ZxYNASAgty1qSIoGpoUnBrzYYWiDISSozn3wDHoKTdJJ6XXWhDnfR7YqANWFwxrcfd6EkLsJ4sGbEn6uMbkPCrsx/717I9vH9RgHABicOxZHap2Qbe1X42mLv37xV7y19y2MLByJBmEC7AUiGpWBAHoAAO6Zeg9mP7EWmtQTASmbQkL09Wdl+UdoMriw4yOq/OP2pcCHdwGHvgB+kkJ5TXOOhEwICea2xGa9DKQZc5JFX+pCAscBrj65wJQpUbs4d37La6fUdrj/NkfMLo7nUXDBbP3BViPZIjkSCIJom5RDG4YMGYItW7bE3bdt2zYMGdJ+vWsiATQXNKkAufboSUC+Wx+8NAXT+1FnnP4DUeBssfa6wrGZVtadTwcpPCjgIIAP615SRwp5grQepMebyDHGIo6EyiQcCa3DLzpKdheVbFFqf2Jmgwehw5eBqfpnFWztSAgp0IKlGIhLkCufCgBoFpM/Z4agYXYMAC15NAJpDhr8UhDufi9jeeU9kXwgDl53x3BCAAMKCgAAjDs+HQki84O3twwGVVgoJIQniY6wCGmla0AxstbzMpy93slIaIOkaBFHQo4jWkgIqSHUO96Go/iTqBj4ZAnVnQzx6Dx8r8/34u5323PAVKelSTCTJcaRILfjSFBV2HK3AQA4Xo3KARMPpuZDDbaUtbQqZAyIDm3oKFQrU9SFSz/aCtaBEyTAuzHhij+Gm6OnfTQG5Q3C+UPPxz/P+ifOGHAGAOBnw3+D4KErAXFASn3bXa8nk/22/lsE81+Bq88baFD2R/aP6/ldONSBgObM2vkDAMitHQkWXSOMAZoCjg/n+lG5lklow0H9/6rtqbVthDZkKkeCeeIcL09CsKXKFppTDG0wXsMWx0XoMoSEFPNVqCICNXYcesuHqkceafs447UpRwJBEO2QspCwf//+SGhDa0KhEA4cOJBypwidQulH8O+9FWf2vShquy4kMFT4atJ7gfCKX54ptMHInt9Zyk4ZogEHAZyRydqiAW9rZ4OxQhd1jKJFkpAl40jgmBOB/b+MPO7IkeBPIrTBWAFmmj5JbB3D3RxSoEk9Mcz5ffTg9VVGXwqOhIZQA1z9n8O36j+jtkdix9MUmwJqS44FV3jAF16gAicEMLhYt3Magtfxhtqq3rlmoSPBuJYb1cOwF6xHM76xrG3ZXCaVFzNStUGP99dfx21MBsIUOAsA6OX3qvwNKbWvaqzFceOMv9p7fv8F8O1ahCLljJRewwpcghdqqHfkcXshUqKiRZxIACB2kBeDb5qGwP5fgWfheHzVusz80WUos1O1oS4ggRNa7jFMzU24L5FwA7sNb81+C3efejem9J0SKXftDourqU7yF05ZiBtPuDGSnwIASguKo44xXAjZcnQA8UIbLBISNAWVm/NQualAb1fjWiahRjhA/QE930CyGNcxn+HQBiB+noQoISHFykZKCKF6G2o+q0fzR6uidvm27sWBj4pRuSZFcUQRIftt8O0TEdz8Vcxucc8e1L/6KvwHw++zo/GWeWFHlVrOP0EQ3YKUhQQAkR/V1uzbtw+5ublx9xGJI0fiNKM/Jo9Lg3fEn/D8kSvgl1NLeCfKMjhev+HnOltW/Pq5v4Ng+cUY7jw3xV5bi6K1hDYYjgRRs2bCxcMJueFEMFW3+GmI/QE0V1Oo8YlRybvaQ9N4qMHBUHy6bbojF0Uy5R8j2dXDNubW7pHmcFtB4Rsc9PwR7tLFKYU2NElNsOd+g0plU9R2O284IdJzJBiOBgfvAs8ZCoI+aHH2WI2T+o6Af/+1CBy4Coxlb1U4UyhGjDravv5SxWirVi6Dq88baLZvsKxtxfT94zgp444EVyshwWVzQQifsyp/fcxzE8EvKeAEH8CLesnROEQmi1mcyJ1UMgOBspsg1U8CEJ3XpTW6+NKyX9La/34aTouI0yuOa6rOL+EHD3+Cx1ftidnXHp3BkVDvl8A7o63lifbFEMccghB3nONx6NeGWQBOhrE9xuKqcVfhsVOXQvGNBKcU4rslYyL7NxzdAL5gNQT3/qjfoGNNREgI354tC21QJYgNLSIKUxErJIABqSSUjoQ22AAhQXt+MphFibiOBHNoQ+rJFoM1DlR/dBQN//1v1C5NZAhUORGs1HRnR7KoEjTZKP0Ym2i2+aNVqLhzIRq3+SLHt99eq2uCwhsIoluRVODdc889h+eeey7y+Nprr0VeXl7UMcFgEFu2bMG0adOs6WE3RgoP9FoLCcWenMiEq0lsisqonyhBWYFUNxXg5KgcCb3c/aE0nQAPS82yaTVGYkUOAnK4/ggGPIBmTbyoRyhE6OhFsPnGwN3/hbgTOfMEX2NArV9Ez1xXzHGtUcKfneIbA00qgaO4Z7vHB0w5EoIdDE4rg3vhHXU7uHCG9lAr26YvpIB3HYafq4HEVYN3aFFVIRLFKAFq46PtlUMds7BrxyiMPT31+HQACKp6v51Ci5D1HfdPsbLKD6l2OsbM7gEtOBCAPulx2OJP+LoqKlMADrBzbohMgpaB0IaWxxaWfzQ5Jzheyoj1X1JViJXnwO47A1P7To3Z7xJy4VdrURtsSKn9gKjCM/hR8PZG7G0Yge+UfCfmmBYhITsr6gAgKfq5FStmQ6yYg9mzprdzrAaOb/mcJS0Exlibgr9h8xc4OxTEOrQA4MsD9dhZ0Yzm0EFcPyPxxHeSKdliKqVnraAuIEGTCyKPOV5MOPGjpGhw9X0Jyxr246R9t2PWkFlR+988sATeEc8j4JsKYGbKfWwOuBA8dAWGl+Yj39kSwrjiwAqIeW9BEM/IamiDd9o0KNouBGsA2WezzpGgyroLIYzuSDAqHZjEn5pdQK+xSbcNIBzakGFHQqZCG5QQFFEf95krNgCArbdeWUEVeV18ccRPFtte24aQIOR4Y3bb+/UFAEiN4fOYTGgDoPfJlRf/WIIgjjuSmpEFAgFUV1cD0N0IDQ0NMeENTqcTF198MRYtWmRdL7sptc5X4Rm0B9sbrsXppiSA+W47mOYCx/vRLDejD/ok3bbGBIiVuusgz+RIMFZaAlLnsJMbORJ4TsCJjt/ijR1HUDCm1JK2jck+Y/p7jhfa0HrFqaopMSGhSWqAvXAtmOaCWHkenIXtCwm+JHIkiKoSERE0qQiKFj1RaA7JcJaswBb/LgAAZ2tEUzD5AaDhdnFw0THqBY6e0MQQeBY7CEkGMeykcJmEhB7OUgQPXYniHAcKPHbTsSoctrQMVJ0OLSIkuCCyRjALHQlMzoMWGIA+hUCVeNDSyhdRIgUvQsrARFFUNGhSTzidzkhpUDMeIQ9+tRb1wdQcCT5RAcfr58TTxkB8Z/NauEtfQDU/GkCsmHEsaElkGQ7rakfUkFQt8p6kuinQxB7tCnCs+L/I8eyEiIbwa8VeI8b9r7whCL+otBkG0hqxkzgSmFyMn/d/EUs+OwjJzxIXElQVnM2PkNYIhlihzM5z4AQJKktt9XXZ3mVgYCivGwwA6JcffY/12PVrkuNFBGXr7gvJ0uv3vwPkv6P5gAZ5yMVwTxhvTcOaEiUk8A7N5EgwTb6rd6XUtt6oLTM5EqIcCR2ENoiN+vuKU3mm/deQdKEAgFBYFLVL6KULCUqI1xMuJi0kSFBlvW3eG/sb7jBKQDaE7wfkSCAIoh2SEhKuvfZaXHvttQCAwYMH47///S/Gj7foh4WIQeYrIDgPQ2bR4Qt5bjuguQD44ZNSq2NtDKgcAg+eb/lBdzkEgA9gg/gnvPrtpRid830MLsmBN8EBZKLIqoathxswrn9BjOPCjIPzQm44AX0LS2ALHydr1qwQhhQ57OzQ33+8iZy/1Up+VXMIQMcZ8BukWrh6LwNTcuFrnNhhZvtkciQY+RY0qRj+vb9FwaRoYcUnKuBM5R85XkFNqA7JYiRxdLRyJDhtRq6K9D6HULh0mktoGQgZQlZpkQcOgYO9aA04XkJDaCpyXQVpvV5nQ9EUgAcGuE/C55umoDgnycFmO8gNkyHWnIyZYxvxYtm9lla+0ORcaHIBeHsDOF6Km8iRMYbNhxowolduSvcOKWItj39vyHXko1oCGqXUEo4FJAUwhARb/IG4T6mDzbsboVB6glk6rDj8KnKGvga5YSKk2jPaTZopKRoQdiRoYi8AQrsCHBOaITgaIo/lOOFXZlt9WY0f3+mXWPWPqNCGDISG7KxoQg+vs92StnV+/f309ObDY3OhAaGE+2J2d8S7PvJduotP40JQVC3y25QoD3zxAOrFeswq/BsAoE8rISHHFnYZCmJWQxvAGKCEkNuPASfkAkNNJQePbgVy+wDeWKGvQ1RZr9QAoPSBO+HddA0gM72cor+q5biaFISEuI4EK5Mtmr4n8RwJgVa/tc0VQNHg5F5DCbUICa0dCT30yh6azENrqgGf2yu5tlURmmKENsRzJISFiiYJTAW4jtwc8RwJBEF0G1Je4isrKyMRIcMYE1unEF2mJ99tB1N1pd0npyYk+CQRnK0RTkf0j4THLsCe/yV8KMOf19+NC/79CBa+mWL25HZ4ft0BzH1yHZas3d/ucXm2PggdvRgj7JfCLug/fopFVup9zduRO+pOuPs/D7H6TNj8sauO5rKMQOIJF43VPY5TwdmaEFTa/5x8ogJnn9fh7Lms4/KPYZeG4aRoPaFvDilRSdcAoCaYvMXSyL1gDj0AgCBXDkfxKnzrWxXvaQkjhUMb3LaW9o0VzwFFHvA8D2fJ+3CWfICaQGorz50ZgeVBDfVBvr0nwGyQFetCBIxcHt5wxQPGWZjIUeqFULmeAJbjxbihDR/vqsacJz5L+d4hqwz2gg3QvGtQG6yN2W/YwJtTFBIagkFwnP49M19/ZoxzZ2VYSLI0SfXgHbWwF2yEq99/8N7B/7Z5rD751e87TNMnUG2JfXrOEf39FwpDIVadDTtiJ4TmSeze6sR/a6KSLVocGnK0MYgfPrIGP1/yRbvH1QVE2LzboQlVcNr5pPpiFmXihQ4WhIUE3TGQ/EQ/FL731fr0706f/GiXm/GaHCdlNbRBCwXAjJw8Nd+2bC/fhtqbf4jDPzk7JiFjYg3LYEz/Pedc4fMrBwF/NSIKA5CakJDp8o/mfAsdJVsETDkfkkARoYj677utKNqRwOfmwkgppFYeTqltLeJIiL22hR49wDmdAAPkoBDrOGgNCQkE0a1Je5m5qqoKBw4cQDAYe/M4/fTT022+W2PE7Lvs0UJCXji0AQCapdRqCX9b9y28w+8FlEIAsyPbPQ4Bcv1UeHIaoOV+Clef17GjoRcAa0Wj/TW6y2J/bfvJIo0JkY3n8GXoH8gZugsHAr8CEL/2ezIY5R85uSekmrPA5caubgViHAmJDUgi8cZCAN7hf0G1NAvAmW0e3yzXwFG4EQDgE69qt20jcWMkSVprIUFUwLn076Odc0NmQdSJ1Qn120xIDQJcrJAQYOVw9nwf+0KjAFybdLsGUrAPgkcuxIUTJ0W2nTe+L3YcbcLPT9VXcDjmAKCgWUwtqWhnJlecib2HTsLksWOwAjtakmimCWMs0laeU19NZRaGNiiqBk3NhVf7DuoCnriT1X3V+ue1+VBqApCkaHD0+AA+ezOqgxej2B2d0f7S4dfi0w0T4fW0HzLUFnXBlklxW46E3LBl2MqwkGSJhHY56sA76rC3sW/bx6oamKZ/V509VkOTerQpJCgaA8JCyqicH+JgbX84B8UREkz3vz1VSQgJauYcCUcaQmCs4/7UBCvgLv037t/+b3jyJ8GulSAon5zQa4gmUcYIMzBjCAkQQghKKnJd9phj2oIxFslrU9Oon6c+BW0ICUJqQoVV7D5tGjRfX5SeXgvOvxP2aYfgKC0Fd+QL1Gz3QpNDCO3YAfe4cck1bHIkcK7wqrgqAk1Hwht5XVCo2Q1oGsAnseaVQo4E1eeD2tAAR//+7R4X01ZHORKA6JwPiaKEoATCQkJJ9PeS4zgIHg6Kj0GpOorEr7wwqhRxJAhxHAkcx8Herx+kffsg+wU4OkpUSaENBNGtSVlIOHr0KH72s59h1arYVUkjwZOqZtGSdxxgOBLcrWoJRzkSUgxt8En6zd7IGG/gcggAODQengVXnwDsBV+iRlgJ4JexjaSBkROgdehAa0RFATgZHKdBYo3gHfURS3y6RCbk4RJc8cIPWicp1EMbEmi7VWUJhbU/GQmFWlYGOqrEYTgSOOcReAY9ikPKTAAnRvY3h0QgRxcSerkG4XDwGzTJKQgJSgiwx67Y5toL9NdRj0LVVAi8kHTbABAK5kNRJ2Ja6fTIttIiDx7/act7AXMACKBZOv6EBCUcoiNz9XD1fQWM2QH8wIJ2GZy93oQtdzs+r54CAGCchUKCJgKqB6P467GqohHSyNjvTUNAf72DtQHIqtZu+FI8JFWNVG1wCrEC38geg6BJ+9GI1K69xpB+PXHMBrsQfyie68y+kGCEGzDVCU4QIWlt90VUNITKf4qSXAENzs0QXEcgtjEJVdQWIcEVdrzFE7L8ljgSrB0HGMkb/ZKKkKzCZY9/DTQoByN/BxxfwJYzMuHVfUnRwHFth77k2lN3JMiaHMm7UNUUFhLayJEAPruhDSycn6Fudw78RzX06PsaSm6+BVzlVnh6ivCVu+H//POUhATepp+Dg9ffjJweRSg9vQ6oL9P3l4wGancDShBoOgwUJJH8OW6OhPYnw/vOOw/KkaMYtvLDiLW/vb5HaE9IcObpjoUUEi5qoQCkZv26dg6PXTSxee1gchBac0PSbUMJof/UerCTfgycPTfuIWYhIaVkiwRBdBtSFhJ+9atfYfPmzbj//vsxbtw4OJ1txyoSqcGggEN8IUELlULmNPT0JBkfF6YtIcETGZTxsIvjAHwJlVn/w9Ac0n+MO6omUBb4Armj7sMX4jA4BX1QIFtU/rFFSAB4RyVkPjYpWetBXKKhDVKr2ssqa7/PfpGBaTZwvBKpltAW5vJ7grscAS3a+t0s+sBx+iBtRN4EHKhrhtwqPCYR3OKpaN47Gpf+NNqNMjBnDJjqhiQ0YmPlRnyvz/eSbltRtYgl3mVrezLIwwkNQLN4/K1yGCE6giDBnr8ZTHW3m2U/UVSNgRMC4O1N6Oftj8Chy8Bp7edf8IkK/vLON/jRuD44ZWiP9vudswnenv9FGXcCgIvjln+sD0jgHZVQ5CIcqPVjWM/kygHrpQz16zxe6EGBR7+eA5IKUVEjeTsSpSGkT4oFru3frYibI1ziMhvJPiNhTFpYSGinprvxOdiM5Ki82KaVX9G0SGiHwjWBdyrwK7GrkwFT7pa9VYmLeZkUEsxtNwRk9M6P/ewVVUOIK4cTgJ236+eRFxOuICGpLaEN8RwJOY6wY4APJT3RD5rK9VY2qgAE9G3LkcCLiYkfZWuA7f8DzvoT4LSu9LYRtmBM+lmTnr8gsPEL+Mr16yywbh1wVfsuuhg0GYPProEo98K+/0oI1oTFvLqwkJDfT3ckVH+jhzckIyREORI6TraohUJQjhzV38vmr5DfoZCQoCOhZBRweENKjgQOMob+qArisJ9DKC6O2T/o58PA7f0QGNb+vTou4XsI53IBjvjjgh7XXYviiQ44D7wQOb5NYoSE4++3miCItklZSPj444/x4IMP4oorrrCyP4QJxoWFhNahDS47pNrpAIATepySUtv+sGosIHog3bfADY4DCtx2/OyUEVi8F1AzsCLXHNIHKB0JCXJ4dYHnBAiGc8AqISHcjsY3IGfoQ2CqG0D09Wz0L99tR2NQRmWCoQ1Gvw3aExIYY/CLCpyaExyvIKi0P2DnNC8U3zDYvHptd6VV/Xe/0gwBgFNwYd7Qq/Dm6vHgeyc/uBRlDWA25LtyorZ7HE7ITd+Fo3AD3il7JyUhIaRo4J0V4OwNqAqNRmHOkLjH8cwBDYDvOFzlqHe9jpyhW/FN8zn6Bk6BorFILpBUkVUN4PTrr6enB1SfnqxL1RiEOGIZAHy4oxIvfn4Qe6p8HQoJRnUTO28DwOJWbSjzb0bO0IcgN4/BnqrJSQsJQVkGxxsr5rFVUmpCh+As+QCa4kVj4Ez0zEtOSFAVO+SGiehX3HbywNxwNRuOUxCUs1M1RAnfR4ycB+05EiIJKnkXoOmlOduaOJsdCWvrFiNniIpK9XIA0WWb/aYcMWU1/oQTC0aFNli8om4O16j1i+idH3t9NARl8E59Aje+ZDw2Vm5MfFIOIKQoULVSlBbzcXMkFDmLIEiDIIdykxYSxPBElOcEqBoPgediKgF9p/g7mJ53B97e14xgaQLtr/kbsG8VMPh0YOwFSfWnLRhjQNhV2iIkVAOqjNDeAwB04Snw5WYwSQLXxqQ0LuHJPmfX7yFMC19ThpDg7QXYXAh+uweVN/8FefPKUXT55Ym1nWSOBHH37sjfvCuBBTHzxLq9HAk9R+tCQgqOBE4V4fCqcEwcCcQRljl3+L4lphDaagghcZxeBp4TTgAaS4EKlkLVhuPvt5ogiLZJeWTEcRxKS60pw0fEomoMTHVDU3LgbVXex2HjI4PajibibRGQDCEh+se/tMiD1685Be8uOB2DwtmCrbRFGxj97qj/xkBa4GwQeHvUtnQxbMMCwoM4ru2qDUNK9MFkdVNqoQ3tCQmSqoHL/wy8TRcQgkr7in4eNxLBQ79AD1kv3ymbksEpqoZAyIFQxXn4xdjrIhnzU7lOjJVEdyvrsNMmQGnSXQofHPggUkUi2bbt+ZvgKV2C5WVL2zyODwtd/uMxtIHTE+kZK8Pg1A6reySCqrFImx57y2CxvbaPNurXdUVj+9c3YyySu6VC/QLeUbfDp8SuypVJKwAA9twdSVniDQJSSz+cttgBb7n/MBw9VsKevxENweSFRTsrQujohTjB84s2j/E63JGEcFavqidKRJDU9Pt0u0KCqsEz6DEc0T4CYAgJbedI0ORCqGJPeGz6pESNc181OxIkVcPh+sQmCVGOhDSru7TG/J7q/fE/+3q/FBESJvScAEA/H4l+jrICBA9cg99+55/IdcSKYKV5pejl+y1C5ZckfW2I4Umtg3cA4NAr1xkj8BW4CjDYeyI0sW9i4ocxoUxlYtkWpiSKvE0/56y5Fqj+FsxUopiFQghu25Zc2+FrTRcS9DQIAFpCG3J7Az1GoPYbL4K7jyLw5ebE21bD4hsvtEyW24nz54SW3zfNn8DvTHuOBDnUsiLfc4z+f0o5EsKvYYsVyQC0uE5S+bwVCUfWF6B8yWeQjx5t+zhbeGyYaGhDeHxGjgSC6F6kLCRceOGFWL58uZV9IUzIqobA/uvh3/1HfKdkbMz+3PAEsTGYWlkjf9heGc/aO3FgIXrnuzCiYDgCB64Gq/xZSq/RHoYjwS+2P0hStPCKCCfAxgnhbR1PHBKZkMnhAYeNM4QENZLc0cBYbRpcHBYSfGI443n75GMYAgevQAmnr9ZraLvPflGv7GAQ7CAHhBIJCYjNKu8XVUDzQK4/BVd+9/JIErCmUPKTrWb7Grj6voIdDeujtjttPNTAYNi0AjRLzfhg/8dJtx2U1Jbye3GswwbG9RmQLSzf1UnQwlnzDaGQ4zSELKgZL6sM4MI2d4GDLW8z7AUbEJTbvgaM3B9VzaF2r2/FJFLofWYIxRG+mKJPTuWGidibRJI+A7/J/h0vR4JRtYETAmgIJH9tB9sQycyMKR4DlP0V/n2/6XAyVx+qx/ba7TjQdCDpvrSHk8+DJhWDKXkA2ndjBWURgtuUxZ0X2xESNITKL4G0/9cYkjMh3HbshKFa2gdnn9dhL/wUQOJ5Esyva7kjwTRxrwtE91kJ3/ermv3gnXpemHE9wvH7vIhgglUbjP6350Jxh0vVJutIKHYX45EZj+DCAb8FgLiOCqClFG5C7RsTTwtXg1mUkBB2JPjrgKNbIsn6DPzro38jOkSVcXB1EQ69G35vGgfGANTt0x/n9gYrGgZ/pf7dL7jowsTb1hQoQR57HtyKqre+0re140hwjRmD3B/ouWnU5g6ub9ZqhT7UypFguBE4AegxTP87haoNNR8fRfU2L6Ta+GOB5j1+HPioGFWvrk26baaE0HTYhabP94BJ8UUCuaoK9R9/i/q9nsQdCe6C8JPJkUAQ3YmUhYSLLroIb7/9Nm688UZ88MEH+PLLL2P+EaljtobGszrb8jfDO/IO3Lvp1pTaD4Zv9na+bXtbkScPamAIRH+flF6jPYwVckNQaAtDNBA4ATYuMUfC31Z8i+/e9T62H2m/NJxbKIbc9B0U8qMB6BM5sVUpK6OfA8NCgqwy1CcwceFZPlT/SPSyfwdAR0KCAk5oWQkROxASDJHEsHwrJiGhWQwnqAu7VjTOh5yhD0AbcDsUNblJqmQvgz1/MypDB6O2O208AB6B+u+AqS7c9NoaPPfZ/qTaDslqu3XaDXorcxDYfw2Gek9Kqv2uADOEBJN1OiCnX6ZM1VjEXeMUbHD3ewWuPv+Dr508E0Y1kpCsobkd94puiY/eH1JjB45ieJsm9kzNkRC+P/Gwg+dif6byHS1CQn0geUeMTwoBnASnre0wEo7j4AqvmHaUUG/5vuX48fIf4/GvHk+6L+3xvbz58O/9LaQGXZBU2nEkBFqtBHK82H6yRehCk91IthjHNdWklsNRsBGOvJ0AEq/ckNEcCarZkdByPlZ9W4UxC9/H46v2YHf9PnCcBp65MLRgKADdkZBoYkQjXMfRThiHMdFPNtmix+7BGQPOQBE3EQDQpyA2B4isydgd+BD2ok8QkBK4JxjCW8aFhEbg6FcRIYG3aeAcdmi+JB1jmgx/pRNijcnZoAFoDq+Qe3sj1OCAJvHg7Qw53/se5IoKBLdubX8VPdx2oNoBpVmC7+uwsNZOjgQAyD3zTBT/8pdwjR3TftutbfytHQmGkOAuAHLD46YUhIS6jfWo2ZYHtQ3HjSYJCFQ5ETxQk3TbclUjmMKDswmw9YqfY0s5ehQV//4Ytdu9HZfONIQGVzjcgoQEguhWpJwj4YwzzgAAPPbYY3j88ejBE1VtSB/ZNBCzxyl95LI5EeBVNMupWRkL7KWQGk5CYeGoNo8xsmFLqtZufHWyMMYiyRY7qtqgRHIk2JBn7wFVLAHXlt0v3ParGw8hJGvYfLABY/u2HQPd0zYWofJLMapnEY6EPgAABGQJHkdLFnfD2luYY0ehx476gIyq5hCKctqPBzUm+8WO/pCrJkKQ2y4r5ZdahAS56TtQA/HzBRiUax/CO+K/2Bd2a5izyjeHFHD2OuTkBnDUdxR9covA2evBcRoON1dhUEHb5eNaoyIEAUCeMzpGeMKAAvTJd+FozRkQq38AMBs+L6vF5acMSrjtkKxFHAnxkukZ5NsGQg3mwM5Zl0Css2CECOSYQpd050Xb12wi6DkSDLdDSwI9n9T2AK/alES0qklEXhvl7GStpW2DeEKCBH2Arale7K32J51E0s7yEDjwC0wdXhh3f4GzAIBeHq/On7yVdm/gE+SO+hc+aToJv8fiNo9zO/R7b0eTRVf4nmROpGcFxn1E9Q1H884/4ZqzY91pBoHWr91BaAOg/7Y4wpbkeOFXQcUHOIBcRy780BIWhcyTfcurNphcBXUmIWHt7hpIioYH3v8W00blIFj+E4zpbzclLpQQkhJzrwS4A8gZ9jQe2jYMU4Y+H/eY3fY74R1Rh/LmRwEkfl81MMKJ+rbhSFhR9RhcvQCfnEAllww4EsDx8E6ZABxYD96pXyNasBko/xKarH+XC4f70WPR/eDHzU6qaSaLAIu+HzCVA4SwGyq3N/yrdJeDp2cInNSEmscfR8Nrr6NkwY3ocW07ZYdNk30hp/2qDYwxyOXlyPvROYndn1qHSIhNukvBeG6wTv/fXQR4ewMANF8duFAAnKttwdyMUlcHNaABYHAOjp9kUigu0rvTlPzn7d/boHdxWF/wrvjXnlBQoPdF4mPFk9bECAnHXxgiQRBtk7KQsHhx24MvIn0kVYN74FPgwaNJmooCV0HU/hybF3UAAinetPs6JkA86sTAXm0PgARehb1wHcBJ8IlnIt/d9gQ+GURFg8yCAGwIymg3gZfK9EGojRMwveQKrF7/PZSMa9shsbfaj8rwpKixg9hpo/yex+EAwgsWIVkC0DJx9oktFuheeS7UB2RUNokY1bv999igHIQt/yu4HOMROnphuytbflEBF86PoDSNR0htP8O+rIXACSEIXA4U2RlJxKb3V4E97yvIPVfgqa1HcNeUu8CUPHD2BuxvKE9YSNA0BhYWKHJb5ejomevCutvOBAC8vukwfvPalg5DVFoTUtSW8mrthDYY501M0JLclTAcCW6bHovPcQxBOf18JIrGwKRiMEFCvjMfTLOD4+V2E1ZWmsqaVjWFMKxnbAZ/QF/J5lo5EsRWQoKialC5JggAHEVrIPsrUdk0rU0Ldzw0zQ41MAz9nPHz8Ohx6xwAhgpfHYD2xbfWGOKHM04iRwNZlREqXAx3ThBNwfEA4osaALC5Uo/h3lSxqcPXZozhxo9uhNPmxIPTHmz3WEk1wkwEgAlQ1LYnO+YkraPVRfiiop3QBlWDe+CTgC2EBnkgAEBlsaKupOlt+m2bkTNsD3bW3A5gfMxxMc8zhzZYXv7R5EgwuVGqTIlwP97pBzAeo3NKUegqxMU9/4VnPjmK4PcSu4/IzA/e3gyfEieZXhjGieAEEY1ico6bCn8FNlZuxDf1DQAKY0o/AnqlCTvnhMxE+BLJD2OsuFsYny54c1B6+5XAf95BEKNRohyBMzcElG+CFg5dElwaeJZ82Blr5bLgXXw4H0n4evf2gn+D/l3K6S0CtXvAe/Tf5Q7zGGgKtPD3hDOqibUhJMjl5dg78ywIRUUYvuaTqHwJcWk9qVYl/dzbw59hxJFQCPw/e+cdJktZpv1f5c7Tk+ecMydHDjmIZMFAUFjMaQ24ht0Vd3V1dQ2AYMAVd/UzZ8wJFQmKikhSEAmHzMk5T57pWPn7o0J3T1d190FcYXfu6+ICpqverq56q+p97ud+7ifVg4vCjpvzsO5lLL3xVwgRSaHZ0DdtAkDJ2IiZXOQ2cn+/97NKh/6+KO/w5nTq8PhnptTt+2NZIo5eaS1dDs7JnCJhDnP4P4knTSS8sVMH3Tk8KVRNCzm1I/bzjOIt9Cv2ocuGobYY01rUgCZkicTQ9QBMVt73lBEJhapFYvBG5K516CMvpGScTVcy+jg0+jFnDmewaxWSH1RaLfwP7t5ak/rNtCESPPmqS6LOzG22tLykW6h9v+OqDR+lN3cBHDiKkQ4MFyedx0nO/znbqqPACzFsJzYrW9LtUJHg2um2NcWBBHlp8hQeeOJ5aHXqiELVRJC8xWSX2oUgCIh2HpQpds3sa3vcAaqWHbY/y83q2lCPUN57qC3QDBuhA0WCLm9H6X6QzQULOIQWYM8AuNgIeOUHwq7LKVQgfV7+Lx7Xdhyq+19JPqXwrKFnIbgqYIYtX5uOw3W9tqaCBa7cEJDNhuU42NUFmNPHonR5wbPhNN4PM1ULQfI9WBIHEJUpNo/MHBKREGS04wg4SZRQhTSGW2SkPNnxuAGqtne/peRowiT4jqr6ELIKU22Cxdv33A7QkUJsd2F3uP1HTvlISyLt7ukvklq6EX3khdillRgtVH6BGiIj9ZMXFuFaB+O7NjguojoKchlZ9KT/UYoE3anNGVEpsKN4B67bPnv71yxtqJgG2tAvsCsLGa8ruzvoP5ezmkhB976/O60iCiLdiT5wx2OJldkwHe9cplo8mxQhie7CjHFoqsDHxh7jA3/4AAl7OfDWptaPARJyCtPUqdgdEAmBh0wbCf8hww/Ak8NZkgMLYOQJwCP6wC950AueyvB3v0MbHkI1HkdYfa4XTMehzkx19UMPIv70tbC15u/hSDkqD/hEwqAOoxsR0957yG5HJNgmtu49N0oPb4XDiD4vU7vRr/sMAJJiY97+HVh9NupwvHowJCQE0VMi4Ho+CVFEgiDgZgbRpx2Y3oFTKCB1tVebBUSC1mXWuk7MgtzvZTLsso1r2+0JEB+u61Le6d3TqSNXxm4nZrMgiuA42EW9DZEwW5EwZ7Y4hzn8X8JT0s9q48aN3HXXXZQ6cbydQ0eoD2gVqVlmnPVde9sZ88WhoBdArKK2aDWnygqu602RmRb11YeKom4hyAUEwetM0aqjQJ94NNW9r+fYrpeg+KUVVpila8YfNo0ipTeBVGqrSHi09Auyh32AB8tfx554DvrYWbhu4wu5pFvImY1U7RJ7pR+TXPgttk22D8iDYF+RZC8gFyueCV4ESrqF6BMJcvZxLGUrjhP/G4MFv+bXNtcv2gt1QVxO87IZsuvJIPcU2tSW1qE+0O/S4oOtx2duJ7PyI+yUv9zx2OAHFx14JMzwGImhX7J++o+HNP4zAY7ZhWP0klEzqEIWXI2noGlDOM/koBTJ9eZJKSZTVNQtdHEvmVWXo/b/OjRejIJlu1gzx+AcfA2rcl6Nt+E0jjtZNihteT/svBwBCUGqcv/ezVHDxWJCP4CSv4dRO96tPSF6z8DxJ0Ek6H6mPa3Ez21REBFc79lbaPP8E+i8bKNQF3g6busLPmPtR0rsR1RHSMy7hrumvhq7bdV/F6hiEs0vS4tT8njKEi/AX9t9AvrYmSjG6ubtXG/MweQCAOz0vYwW2werjUTCU6sm2lFeh9r9Z5Lzf9bgkTDqE2AnnHAr+UU/Q5BKDOa8QCww1ezUbNHys+ytnk2q6H1WPERVYNX2xjZM75iiFAkASckLnNu1Awb+KoqEhnFlDfpqgee8C5ew/L0nk1tYobJ+C9v/7kL2/us72fbSV7H5og9T+valLYd19docEhSlFogDpHpxLIfu176W9Kp+1KwND/8IMeVt016RYOKYtaWtaxOtSLjxnVRv/wkAxsFptl78KQ5e2sZzKihtkBOQ8NUC9T4JZb+0IeW9c8WuIQTR7ey4fVR9IiGRt2KJBKl/CHDBBXuy8+efuWsXVtFGEF2Sa1fEbicIAlLWm992sY3CwJlTJMxhDv+X8RcRCd/97ncZHh5m7dq1nHHGGWzcuBHwjBi//vWvPyUH+H8VpTrG3msT1YguvyWV4ZTbLkaj8Mepr5JdfTm77JtjtxEEIVxIT+tPHUlUrFoIsv/ydZWWPgmmX34giwL3T15Pauln2OP+OnJb23G5Z/cWUouuJrvqoxyo7G55HLbvMSAJEtLUBRij54SLwwCef0FtcSZnNvOz/e9tMjabjcDb4aC+iezqD5Na8uXYThKFqoltDACg9tyFnHvEUwTEHbcvQU7I3rWZTSTgEwmBs31C8BY1B0qdmz5VLQdB8BYI6RYZU02SEOQypnuIi2nLwRh7PkPmq1nWFS+xDKTnUXX4z3To+15Laet7OXHoJBQ/8/5UtX8EkH0ZreATCeUYj4SRgo42eAOCaKH13eGpE2JQb9K3OLMaq7gS124Mxr0uCgL5RDe9irdYfXj0kUP6DSP6dhLzrmND9brYbV4y/AFKW9+NaBx6G+LA0LTe6DIKot8et9DCXwKINISMw3h1HIDDeg5r8LCIQnCvC6KNkl/HLv1Psduato1jZQCXPe71qL23tezaEHhdHNd7CsbouUh6o9Gc47hYeL/7RUsvBEdDVCf49eb2TvH1HglPfWlDjTwYL9Wuy0hBR0pt5f6J32Cn7+flJ6m89Fgvu3zv1A9JzPspk0ZnZGpgYJtuMT80yXsulsxDUwVWrdlEQkzXBv+72yYLHLsWzD2F3W30bdtZ/8rL2HTdILYlUyn1UZ3yRKzyiuNRFwwhqS5av0LuggtInXQSgiJiVyVm/vREy7HdoIRL8Nsv1r9jMkPI3d0MfuD9LLr6agQtAzvvQtz1e+/nltucD9sCoUbEO5bQrEgwK7Djj+hT3js0OeB7kUxPtB47mHuSAv77Fb2u/MVXJMysL1F+4AHIDiEqgc9Jhx1PNnmkq6dIiJ4bQiqPpHnjWuNtjrn+8MfGULtFkr0GYqr1s0fK+QqQYoddG2YRCa5lMfG971P144I5zGEO/zvxpEsbfvrTn3LRRRdx/vnnc95553HxxReHnx133HFcc801vPWtb31KDvL/Iqp1iyVZbL5M+UQWSgAuJbMU2eu6FQzHWyglWtQIA342U6fwFBIJhaqJlDjoff/8ayhU442TgjIGSRSoOjNIiYPodvSL87G901SEHQS5jZ3GrcCL4sf2F1+yKKPIIujNgVxZt0Mi4cKhD/KjPx/kpKUntJTjQ001kJRTYIAgWLFBYsV0qOz8J45Yu46d7jUIok7FsEmp0ben4wcXFWeK5KKvgivjuuciCIKn9vCPN6d6GZOU2EsRGK0cbHnMDcdk1BQDrX5rUPZgc2gL2KppYxWOZHh+P4PpaOdoqBEJwXz93wLXdesCfgGr61ck0hPsKS7hiKfAbDG5+MtU1AqbJxchomIDxRjya2RGR5BrWfJWpQ2e2aKJJLm8ePGbufb3RyEPNT57pives6s7pTKQPYyxiY3sKGw4pN8QXO9WXWVW5lfhGGWmy4duAmv6mfZ2z01J0LApUWpDJByKImG84hEJPcmettsGRIIq+NlBN35Rn3EOp7T5Et56Xhff3PHPqD0pdOttkdtajhsSCQnFI0tmP5+qlo0g+YaAmQH6hJMY4w5u2f1b3njc81se91/TbDGQ1QNMVnwPB92iaFRIL/0FAK9c9UouPfnF4XYbi39Eye+hZD2vg/FdHMH73Wk1nkRN+KRzuRPFQB10P6vtOgqKJNCXiZ7jAcllOG0C5/og+ans2mCannzfhfJeiz0/+jWJnjxLzx6DeUfDlNfNR3RK9L3trfS97a1MvPs8Dt60A6fU+jhco4oguSCK7PuP/8B8/AmGVkloORuyde+DvhXw4i/DNa9H3HUb0N2RIqHeyNGxRKTZLQx33QO2TnW6F4DUyiEqIyM47do/BuNImhc4TwPVqdrnlUlcFw784jHsH17Ekrc/C1FxsXU66mzhui7mTq+FrNZCkYCWQ044IAg45c7nX+r441n+2iTOyJ74sX1IuSxwELtdV5yY0obCLb/n4Mc/DsBhG9Z3fIzPFJimOWcoP4f/lVAUBanDcin4C4iET3ziE7zpTW/im9/8JrZtNxAJhx12GJ///Oef7NBzwOsJDoArR9aj5hIprNIKFnR1PSlFgunXNSdbdEAAEF0Vh/bS3kPBRKXuxefILRUJW61ryay5gT+Mn0930ntRRZmCAdy1dayhj3q1TW2p6Y8jizKSMo2gBAFDLbgo6jqqv5g+euBYvl/eykRRbFsjbPljB/JUBKthcV2PoLQjLafBxO933l6RoEoScno7rq1i2A6aLHlqD7FRkdAlz2d/ZZhcX+dtPKumTWnr+xjoghXd8RLILr+jg8OhBfpBW7qgM0gcQiLBfoprf//GsOpKV2RRxEo8hCKPMl459HZeUWOL6gSOXMBxHTLlCzhQmGHBs6OvY30pQ/XABRzMty5tSMz/MeQe5+6RfwMGGxQxAI+OPkZi+LtUUqs4duhI/jxxHZP21kP6Dbp/vVsRCfmUFwBPtSlhikKQaW9HJMiCiuHGkzABknKWSX2SFbkj2n53oEjoTfS27WYRdPbQpCSG///BPp/53SZ2jJf4zCuPQRSF8PkSKoikeLNF3TIR/Kyti4WgjGG4jRnKsmFT2fNaBKnCea86m98+vp+x0h0cLI20/Y2zzRYPtWtHK+i+TN0uL2KqKHkeHwUdJX8/ojbGQHKAdx3/roZ9Er56oGK1f48ZthOWdbVSJCTloPTg0N6NgSIBV2Ewl0CM6YYU+CDNLh1qQr1s/yksbXAt774SRBD8Tkau4x3r6G834Y5uoVsSUfQaCSmK3m+zy63fB0o+yZpX7Ic157Plmw9i7p7AXiICNrbUS/VPfyJ53HGImgZr/w5OfRfiXq98zmmnGrBNEt21Z0KkImH7HdimQGBpklo9zPhdIx2oHYLSBq2utKFekTCBMSNjF6oIiQTaqlWIyh3ecZTaKxIEQWDlH/+A8f5h1LTlERZRSORYeu6od08d3d78dPZvECXix/Yx8JZX4N74HrT5LRRfrhvb/tHcuzfczBodDQ0in+mYmZlhbGwMXf/fldyYwxwCCIJAV1cXQ0NDHb23nzSRsH79ej75yU9GftbT08P4+PiTHXoO1DwSBDf6EmU0mcqut7D26PlhwHgoMJ322WYAEc0jEtpk5A4F+wp1mXHBaUkk2I6FILiIoojqe0U4MUTC3VvGERO1coagDrrV2ACyqKAP/D8y0jQ7C2s4Fq/MwLIddAuMTR/i5xcfjaX3AVtb1pAHcOoVCXiKhNkBV4CgxWRa8YgEQdRbZvEEuwe7vIgFixazbgIQTaqmjSZLTWaLAMOJY1m3cZBnH9GmR3YdqqYNrkJKSqGI0a0AAfJJb7HrCofmHl0xLKT0BipSAcs5OlJ1A7X5aT4JZ/CnMyzbJbnwagS5wI7CMgT/UVxt17O7w7HxO0IookLGORyrUCAtRWfAD0yXEZUpb9/iakalFooE2wlr68PSmlkE2a7iDpTsE+iCyJmLL+IrT4At72GiVKYn3VkLNMNfsKstiISD+hOofb9jzFkCnN7RuAFEfRlmRWRBpoWxGiALGri0VSSYhncucvo5bb87UCTcsPUGzllyDmcMnxG7rRMSkim/h4qL5VoogsJX7tiKbjm883krWdafCZ8vGSV45thUjOj70rBrz9D7R28ns+JLVMtHAi8L/17WbXA1kmKKXCLLvFweSp1J+eufda5LSHQ+FTAc/0y4MobtUDJsRmaqiJr3XrlwxYVNBFHCf45U22X38YyIXTuFXR1iYXZB7HYDyYU8OrIIId1aIj4bgUeC6yrMj/FHAHjDYW/m1vtW4uiDOI4bSzg0qBDamC06uo6gKB11D8AKympcBNUjdF0U6F7K5I9+iz01Rdd5YkMgLQnesTjtyD3/3YukIKgeIej6nRZKe2HvR/6BxBFHsPRnP/W2e+6laOt+T9/EDpSTl7YZ2yQ7XEXpzWCOF30iwXueGHv2MnXNNXTpv8f2yxrkoSGUhYuAdW0JkIbShiBwrvdIqExRHvV+T/KooxB75iPJvkdCh6UNgiR63TEgtrQBLet3nHS9dotae0WqU60iSBJC8BvaKBJSRx4OfzZAbnEtnbq1WNBZLCCz6gOQp4hE/FtjZmaGvXv3kslk6OvrQ1GUp4wgncMcng5wXZdSqcTo6CjJZJK83wq2FZ40kZBKpZieno78bO/evXR3t3DsnUNb6LaFayeQhOiFRkbzLl2rILwVghrQpNKaSJAEFQsoxTi+PxkcLNeIBEE0mazEj237GTlZkFH8YDPI0tWjatrct2MMZXmNBW9Xtx9k9hVRRkDGpbGkpGTYgIBrZzliYDUHpqvI2YcZT2zh1p3w3MXPbTt2QCQgWrFmi5sKfyK94hs8UvE+FySdihGvMlGKz6U8cTLnnX0kN+66GkFwKRk6XUmVgm5hjD2f5xyWYF7aUyBkEt55K1Q7nyuVDhUDeS0gEnRM2wlr/duhYJRJLfo2DxhgOS+OJxIkn0hwnloi4bot1/H7Xb/nP0//z5ZZx78WLMdB1A4iKtNeRlh4CokEpxbsK6KCKrf2X9g+vQtBNBFdFdfsadO1oSaJv3XfdWRW7aRYOQGo3QsTfqCckfOs7V8GTgrXEbh3z1bOXX1kR78hKG3QWmTNdpQeQ+v/PeXpEzsaswFTz6da0Dmq75iWmymiBg6U2wRoQXBrmu2D5YuPuZibtt/ERHWirdeK4xNCKSVF8LY1bRNcKVQbBPf1Qfc2kovu5rGZc8P9SzGye8OycIxeFNkhrQaqosaAoeQTnEGJ1WBqHlZxNYlU+1abs0nTqvHUEQmS3YMxdQKu2QVilYmiwUhBR5SnAJiXaVZeBaaJRgdeK7plY06eijl5Km9+2wtjtztz8JXceOdqsqsOLdMaKCpwFObFdGwAOG7oKOzSfn8fh6Qac/4aShtaz6fRz36O8r33MvjBD5A67riW27ohkUAt2M/Mh7f9DOebZwIgyg7UKRKUZImupSW0gTaBbVBXL9YRCb7awap6801ZWEfySTLqqiPorzwK7YgEnyQTNT/xYNYUCZPf+y4T3/ku48DgcQq9b3wNQqYHsc8P9qtWa/VMoEiQNPDNjGd7JFTGfCLh+OMgM4SoHppHQoPCJC7YlxMgKl4ZR3WmIyJh+oYbOPifn6R7mc3gES3GDhCYfM8uC6lH/WezFAm2Hx90v+51yH19bY/vmYCxsTEymQzDw8NzBMIc/tcimUyi6zojIyN0dXW1netP2mzx1FNP5Qtf+AKu2xwcffvb3+bMM898skPPAehVF1LcdDlLyp+I/DwMDnUr8hq0Q81MqnWGcMh6FeWdb2Fe4rBD/o44OJaGOX1M+P/jQcukqG39gFwSJVS/S4HtNmfr1+2cxJQOhJJUAJtKm+4HtdKGWka4jkjwSRpFElBlkYGchpTahdR1H/cdeKjlb9TKp1DZ8/ecOuRnKFt4JEwZY4jKTM0gqk1pQ2B4V28UF5SeFKoW5tSzOWvo78n7GYKsTzoV9c4l4FPVAol511DI/KTl/OrxFQmCaFA+hBaQhbA3utAyWAyILtN96mSEruty6V2Xcvvu2/nVtl+13d6wDa7ZeA17i3vbbtspLLsWkGuyioi3aNNn9yl/MmPXBfuKpGDLu5FzD7Gz6JUXTJUNpsu17ymUUpR3vYk+bRlq/28pOQdDlUzzcTtem0h/bEHScYTG4GVS94iELrUHQRBYbX6E0uZLKBU7J5cD4khr4eEymPEUFrZYPOQ6/BpR1voVeF7f5RTWX0m/cHzL7Y5L/iPVA39H1bJDo9U4ZNQMa7oPB6DUxvFfcrM4Vrahu4Ru655awEdAJFQ4gJzeTtGaQPLnUxxRIQkJSlvfy5LyJ8j52Xt3FkFbNiy0wesQem9gWp9mTffhVHa/iVzlwpbHDM0qlajnmeu67J+uHPL7S7WXgp1A6/89au8dTJQ9IkFQvMBlKDXUtE869BvovOOEKrcuYau1vj00Mv+Fy17Is1IXY84cHduxARpJ3Lj7EZhFJMT/PqdUYvraa6k+9hg7X/v3jH3lKy2P0zX97xRcBM1XJFgOrpzB9ZUuouI2EAmJ5BTznz1N72GtW2Lqe0fZfWcP+2/YVlc24R+n473ng3aPIXzCC6ONJ4BjeuSBb4DqWGKoJLBGa6VjXSfMZ+ADl9H/L+9A6vdbC7vgVlvMkeD5LKvRioTyRKhISB1/AmSHGDpuhuWvsOh6UbxfU4DRL3yRfR/8EJUxP4iPUyQIAjMHuth5ay+jX4rv5FKP8r334ZbLiKJ/L0rNJt710PeOMrE5RWFbi3dSSyJhyvuaDlpePhNgmia6rncUWM1hDs905HI5bNvuyAfkSRMJl112Gffccw8nnngin/vc5xAEgWuvvZYLLriAO+64gw996ENPdug50LiYiUJak0ks+B7rtbdz0/abDnn8oKY9rbT2SOiRV2GXVyDNqp/9S6A6C6nuezWO5S0MJipTsdsGpIEiyl4rRaJLG+7ZVitrkARvASaIVQotFBuaOx+ruIo+bQEifrs0q/bSLOkWYmIvyaFf8ovNvyChSKiCdx4OFFvXsjvGfKzCkSzv8lqqCYITKzMuW95CJK8M+cfdmkgIlA0Jpdaes+grRop+UJFN1MoRJKVAesXHuXbsLS2PuR6T1RmU/DoK8t0tX5r5ZBanOoxdWURR77y8oewvNhQh0XL8+clllHe9iVXiU2fcuquwK/zvkZn2GcqrH7uaj97zUV5+w8ufsmMwHQcB7x7XJAUpJLL+cuWFadUc+WVRpqD+geSCH/PIxF2YtsPZn7mTs//fHeEzZrwAdmk1kmSi9d2BqI7Gdm4w69oGdql5oNkfo2BNAdCd8IzM1gzMBwS2jnbubm/6Gf6WRELaIyYEqczMIfok6FYVcOOzvD4yahIQ23Ye0JzFaIM3sln8b6b0qZbbGpbDPVu8YKjYJihabn6Q0uYP0acuC+91wzYo1gWWAUEYtixUUiiid94qMRn4wMRWFgU0PzPpCo3PykLVQO25h2rqNizHClVwxQ6UTU2KhIjz9/v1I5z8iVv5zO82tR2vHkHpAYAozzBZMhiZqWJOncBy7WyW5ZsVEwFhbnVQIhUcuxbz7g2QCIiEQySx1vSsQa0+C6c6HNuxAWDnzHaSPfchpTe1Jmk7NFsU02mW3XgD2TNPAqDws6tbHmejIsGfI4aBU6l9hyi5oPuBtG3WsvN6AZx4VZ09U6S4L0F56xSi0ljaEJhpSrOIBFdOoc/IVDbvbk0+ORb77s2j7x2n5zUvJz2kh+co8EDoO2IGafWZ4S5C/0K6V5boPdr1anHiYNUpEiI8EszxKcySDKJI8pijITuEkrZRpVFErXXgDlDdsJ7pX/6G6pTinXgpXjRs20nKIxrVDZ3dP/pGz/A22e1fvzaKhMoTWzj4QJ7JjS3ug3riO1BF+ORloEhAEpm5+WbM/Z23n346IgioFCW+1HMOc/jfAln2nj2W1f59/6SJhBNOOIFf//rXFItF3vOe9+C6LldeeSWbNm3i17/+NYcffviTHXoO1GTIaoxUPFjUIVgUjUNrPwWQso7BnDmS7kRr5/CEv5hq1Y7wUBEG97aXjZnSo0tkABw3CIgUMkoWx+wCpzmLs2+6il1ayZk9F/OPR/2j90ep0jLA6HOeR2X3P3B091l1GeFaUFQybERtP27uD/x2528ByCoeuz5Wnmr5G2uqgRRK9RjMqWPRY5i9su0tRBan1zJP/yeq+17ldU2IgdH9PdIrruTekdvC1n6Bh8WMXkBKbqfs1F7aOS2JqBQwKGA6nQVcgWJApPVio0vrQtr/Liq73kbV7DyzWLS8OavElO6E4ye6sEur0ew2ctZDwGi5RgLtnpppsaWHe/bfA0CxwzZvU9UpDpZad8iw61QDsigjCsH8OzSviSgYthUa6SmigiR417BqVRn3ZeAHZ3Q2HfSyhkEpQ7fmB+ZyiYMz0QGX5Tggevdv4M3iCI1EQtnyFEb9SU/OuqjHC+L2TnXus5I1T6ay+/U8q+/s2G0CxY0glZksd04kVC0DbeUlZNZ8CLONj0pSCYLF1oa2FdMBv1VuxWr9O6+85yqc9DoApvXWcyp4D2Q0mdLmD7Cs9Gn6U/0NJW2BIiEwkEwrKTTRu6/KMYqHwOxTlgQSvoR5tiJholK7N7JqNlTBFXW9rYrAsBwQKyB53x8VbD+yZwqAb9+945AUJVWriutnrQW5wETJm9Pm5KmcO+/tLMg0+xoERILptp+Dhu2QWPADhOGruHvv3bHbbSvcT3rFJ9if+ELHxx5g2n8vdafjg8t7D9yLPPhzlPy9rc9PB2aLMzfdxI7XvY6p666j53SPaLGLrcsgpK4c6VV9XqvAhDefXNOsGRLKMoJETZFQnfa890wBswRuNf7ZGigaBFls8khwTO/fsxUJDgm23TTAjk/fjtvK6M62wrHUFSsQZRdcG2wLu+gdq5azYNlzwl2E3HyGjp9mYO1BxESLd15Y2hChSDArVA74JNSqFUiZDCQDFZbbWAIRA7fiPXdFyY1XI/iQu3xybCJe0VkPp1zxDz3wp2jTtaHbV3y1umXCLhZqrYWnn9RY8F//xco/3U3pD39k77++k8LN8a3Gn0mYUyPM4f8CDmWeP2kiAeCss85i/fr1bN68mT/+8Y9s2LCBDRs2sHfvXg477KmTwv9fxI7iBpILv8F++UeRn2c0GRzvRVMwW8sIo5CvvJLq3r9nMN0sA61HVdqKkr+H7TNPXfser5TBQqwcgTl1PJYZH0w6oSJB4vR5Z1Pa8gES069u2m6qbOJaeU4eeCGvWfMa5JnnYYw/J1ywRSFYpCuSGJY26LNKGwLjwryW9/7tBy+TeuuXty5vQs4+TMGaoLv4Zqr7X4XrRGc/dcdbYMxLL2BQOgG7vIyKGc8COmIRUZnxauudNK6VomJ4C5wpezupJV/lm5svC7fvTtYWZJ1mvINMqSy0aQ9KrYa6FfkxG2U/KE9I6ZbbBVlB/Skksnqk1RgTpwAwWd+6K+4Y2iy46rFxYiNn//xsXnz9i1vWv9eXNnjBfmBc+NQQCbbej+L2oYgKik8k6HaViVJt/Mf3eQvgUW5Bzj5Cxm91J0ilWJ+EeiPHfGDyKhgNJUS66407mPGIhKq0heTCq3mw9K3Of4Q1iFU8nMXZ+I4hwT0pSGWm2rUoq8N42Ts+QXDoSbWuLd5U/j2JBT9kj3FPy+12mDeHZVWt7jHTMfn51h+E/z9dbU0kGAEhqcm4dhbbTiAKYiSRYIcqszSvWnwppW3/imzPjxx3rHqA1NLPslP5NEnFn9+CFbYkBZioeO8VwVVQJRVJMsmsvpTi/PeEhoFx0G2L7OoryK76KAhmZCAcPJtnqhY3Pdp5tnJE+hWJoV96xybPMFk2QgPcwVz0vfrGw95McfMHKY88ry0JopsOojKJq4yE3XeioCkSojKNJcQT4VFYd3Ado84DCPIUqRYeNEE5hiDqrRUJHZgt6jt2ULn/Acxdu5Ak3xCx2vqZmjzySBa95RjmPWsaqStL39v/md63vTUkEsSU/96uznhZ/MokuLDp5/PYcsMQ9sie2LFdMwhAJQRNQ5AlgqsScN2ziQQxWyuNatkC0jFDIkFM1SkprSrOlPfeFlVgyWm1z9L9ngLAdaDUQm1YX9ow2yOhMklmQZXFz59g4N/f5/8+hfJkhpGHs0zfcH38uMGh6971E2S3g/aM3m+zpztb/wVKEkHyz3S78Xs8RZmtC/EqjSgiwaqA4yBIEnJ3N9nney1Xi3fHk3JzmMMcnrk4ZCJhenqa73znO1x11VVcf/31OI7D8uXLOeWUU3jsscc48sgjef3rXz/XGuUvxJQ+jpzZQlnYHvl5RpNxfSLhySgSqmZn8s1x7iEx7zq2FO895O+Iw8PGZ8gedgnd0iqq+1+BZMW3JVTseVjFlfQn5odGflaEaWHQuz6fUsgn8vSZL8GcOKMNkeBnbSUR0S+HqK9RjyIS+pLevwtG6+yClb2V5PCP2Dj1UHjcce0fddcbqyfRE9bFtjJbDDKHmqySH/8wxc2XMZBcDEDZ9uZCvWt5VzIZyqLbZUsDFH3PBVloH0QHtcKH4pFQsQIioXXJjCQ6KF33sd+9Bdt5asiER/dO4/pqmGmjfRCgtqklBbh/xwRX3XInb735rVSsCkWzyIHSgdjtTbux/GC58CaKmz7E4dl4A89OISBT3vYe1lr/6cvca0TCZF3A/ejeaaYrFdzeG0kO/5CM5m0nysVYIsG0HezSCtLWMSzK+XXFot4wty28Rf78jNf9JJ2wkDObmHG3dPwb2pV2QSORMHkIRMJY2bvfXEclrba+tmPGNpTcIxTsXbHb2I7NTmrkQKt7bKLS2Lpups2ze0/iKpKLv4KkePdjcF5KdR4JQftYBy8IyShpluZW4ejzMc1oaXTZqiAl9lMRdpOQ/XMg2A0+LtN+gCT7qqG+VCb0xyjorYMXo07ZJSqTkYqEBwo/JL3y4yg9d/Dje3fzkT99hIdHH245LoDl1K51oEg4UBhH1PaTSUYH/oPZXlwrh+sosc/h2rE7ILbvapRPeM/Y4Lx3iq898jUOJr+ClN5KSosnEoL2j4JUbV0+MVuREBH02VNTAEj5PCLenLN1F7dF+YE3tneupa4u+v/1X+l761txSgGR4AeOru2RGeUJBNE3YASc8fjnX02RIDH8pS+y5hefIb+0Aoku7CArH4zvQ0hkEYKxWxEJtknwqhj76jco7vPfYbaBM+X5t0hDy+vUAoAoYUn9GAUJ+0CLVrUNpQ2zFAmVSUQJUosyZE47NdylWsgwvj5L4bY748f1cSiKBDHtz79qZ2vtgEgQ5Q6JhF6PCLYNMd5wMVgvSQrUG3fXEVrpUzzSvnzf/d51n9wJt13ZmrCZwxzm8IzBIXVt2LJlC6effjojIyOhs+1znvMcrrvuOl7zmtfwm9/8hnw+z1VXXcW//Mu//LWO+f8EAomzJMS3f3Rt70UzYxyaIsFxHapWGXDauvJrUgIs2magDgW6OwkC9Kd62UVtIRyFrPF8tu95Fsc/7wRkyXd1jlj8jFb3oHQ/QsHpBebRlfQyvK1KG3bJXyKz+nEenvo3ut3jmJroI7+iRmqUjBqREMi4B9K9MAVlqzWR4GIjAAlZQ5EBwUSPqTWyBO/69SV7KYj3o+T3M6PHO6OHRIKkhoGWbjm4rkvFKqJQly0GcgkFHAUkvWMiIfAw6ESRMN39adLdI2ya/DQnLj2lo/ErdhEESMmtFQmyDIn5P+cgULHeSUb9y7w6DNvg0b0TmFMnYBXXsPL49l0E/v6wv2e8Ms4JQyfEbvPBG+9kb/K/EH3Dt2+f+22Gs/GtBS3bwbVyCKKDIiqkpC5cu4Ib0+71UBAQbcH9ooga2M2KhMf2zvDQgU0IgoNrJzm8bw237v6dr0iIvt9tx0UfuYCFqW6O6g8ypgamXXuWuLsuoWAUOfxcT02wqNtbkJoUW7exq0NRfBw5N8aMuRiIdsUP7klBcBgtzgDxhGQ9JnxFAk5rfw6oBZJBF4ko1JdDQWtFwli1tni2SsvoUaMVA+CZERryNmQZ0qqA2ncLE8kSu2aWUjJqBEih6j3jAq+KrJZGEwPPl+hA0fQDAFGQmZ+dhzFxMq6VC0seAKZ9skARvIAuk1DA0UCqMl6ZYSA9EHvs9efEMfORioSiNY4oFxAEl3UTt7Jh08/oSfRwdP/RseMCWG5tDotyibFimRF7Hell1/D9rffygjVfa9onUdcxol0HCcNyEMSauiMO3UkvI+0Kh/ZuDN+ljkJajb/fw2edqLdWe9U/013HC+7kRoKsnkiQnEf8bQWcYhEpl2sxtn+sdaosbdVKlt10E65pwo+f7X2nXvAUCXgGjI4F9sRI7LCBkaMgS949mPbv8Z5l5I48D23ZchJHHNG4k5pGlF1sq+Z1EAmnVtpg7NhBKZEkM9/zSZj3spXYj96MeszfNe225/calf2DLDjyj+RWxrzHgoC6wWyxpkgAGgkKQEolAAOn2H6dFioSJLetGaKY8a6bU21Porqui9tAJAgQ0ykpPO5e75o4pohbLSNkIoiHBkVCHZFgVth36UcQUkn6//VfkXp6sCcmGP3858lID5GausHb/rR/a3vsc/ifwd13383NN9/Mu971ro5a/h0KLrroIm6//XZ27NjxlI47h6cHDmnVeumllzIzM8Pll1/OCSecwLZt2/j4xz/OKaecwhNPPMFb3vIWrrrqqqd8Ev5fhBESCdHGLuk6RcJU9dCIhInqBNOD7yMzIKBKrVnywOxMf4qIBMd1sIQpABZkhnhAmA4XrFEIgiJJFNk8/SipJV9EtweBFzRsN8WjJIau56Y9Y7zq6JNIJKcRE3sZLa0kLsBw0BFEE0kQWCCezYaDI/Sry8PPi7qN4Nf4BtnP+TmPSNDdQss2US4WAqDJCrsy7yO7psTe4jcij8U1+rBtm/nZATbYHyQxr8pE9fnRx1xXW5+Q1VBRYlgOZcPGFkooQG+qtphJqhKuqyLQOZFQsryFmiq2JxIQy4hi6ZDmoWwuoTpxASeedEzL7TJKAtcVEASXilX5i4mE3+74LT8dvQK19wT0gxdQrbYf76R5J3HSi05quc1B9fuIyjS2PsD7j/4cxw+29oixHCht+QADWY18Il+nWjn0DizNY/tEgt8rPihtMBy9gUhYv3+GBw968mPFnkevb44oSKV4s8W6sfuTPdjlRThWNsyUW7ZDoWoDSXozXgC6rNtbkApimbGizkCu/Zwqar8nmdvA9uIK4IjIbZJykqOlS7hrUwVzeeetBaf8TLsQ4bUyGynfjLaV238TkdDiWTnut8a0q/Op7HobZ54TP6/qZfVpNYGcexhdG+Vg+SAlvfYcCYhY15XAkcmqaTZP3ovaezsz7tHAqcyGERAJyCztWoR+0OvEYFoOgS1KQFCrohdMp1QJ10kgSFVGS9Mc1qKjm+H4zxlHBlcNFXD1qNgzIINCFlM7iIvLTBulF4BNY+C0a+YgOuNowHAu+lm/dXojiaEbsY0uqtbz6CLeMM0jErzvCNpGRqHXJxIQq9iOi9QBQQa19o+uq5BuoUiolTZU25gtzrpXzXIzkeAb30n5PGJhnJUvPoCkOgiJ+CXg9I03cuBj95Me7GbBixSMrVtxTRNt5Uq0Zb5njZb1MvL6TBhIS6qDVZFwJuMzzq7pzT8hIHTmHQ0v+yYMHkHXwBqI6nCgZT0igU4UCbVr4dj+b7SqpLvGYFEVljV3YRHTCaCIM9HC3yZUJKh1ZoveuS0/+CAzD+TIHJWk/q3iKSsMnA7aP4aKBLkDRULWJ7IMC9e2EaQWz0DTJH366biFKUR5v6dGaEOiSvlewCMd7PFR5ExE1516IkGUPMLJ1nHL00xf75VyDLzznaRPPpmZX/2K8a9/g+pSjUXPZk6R8DTD3XffzRVXXMFFF130lMdwl156Ke985zuf0jHn8PTBIZU23HHHHVxyySVceumlnHfeeVx88cV861vf4oknnuCf/umf+NrXvnbIE/DWW2/lH/7hH1izZg3pdJoFCxZw4YUX8sADDzRtu27dOp7//OeTyWTI5/O89KUvZdu2bYf0fc8UtCMSVFlEwpdnd2DiU48wmHQVki0yIgAJyfuOp4pImKxOgmDjugKT0l1k11zGHuGa2O3tMHARMOwKUnI3rtJYT+u6LrqwD4A1PV6XhE3ip0gv/Tzbp+Pl1KH/gqSE2VuzLpAr6xaCX08aEAnLuudT3PI+VlY/Ezuu67q4fh25JqmIEa0l66HvfQPlbe9hdc9KFCEoV4leKJlOrf1eQlEoJG8guehrPDp+HxMlIzzenkRNkZDWZPDNyTr1SKgEREIL1/wAkn/MBaO1eVfjDxnEnDyVY3vPaLlZQpE8NQWdl2W0wv0H7vfMAV1v0TV1CCZ9rWDLnoy3uv9lfPzGXTy2t3XJRKCqkf3gY4IH0AavZ3OhdS1+J5jQR0gt/QxPcCVQI4PMWUSCbjnct+dxADLiMN2JmtlinCLBc/t3kCWBRV0LMfdcTHXv60O5eH0pUc4PUnqTnmmXIOnsnuywntcPFtNK62B/nrYG1+jnUJo2TPqEl0j7uR18v9Wi/ehsIqHY4j4IiATX8kKNUgs1lmnXn8sE+GoV0zYp6RZSehNy1wPM+B4J+q63U9z4MY4bPJ6HJm5HG7iZsri55dgCEpIohDGFWaf2CkrmEj6RIAgCouuds7Fy6/lt+goOAe+5E5VRN/ySrjOWLw1LjaaqrccFsN3aeTGmTmDbSDls/bgoF63w2Ffah9J9F0r2sbZeLlXThoBIaNEeuS/lBXKCaDNd7fzZVK9ISLVSJASlDW26+DT5IkR0bqhXJFAaRU44XnfEFufbqVZxDMfL7osq2150Pttf/JLGgLjeJ8Av2xEVx//OidlDhnD97kiCIjP505+y++0XM71dhYE18b9TTYdjd+qRAODYfoBt6TDmdzjoW9W0W9Alwplq5ZEQBM4a+H5JgUdC8Z6HmNycYWZL47USM964dqn9+9Gp1ikS2pQeiF09CKKLlFZbt6wEBFVl0de/xuIvfNwjKTrw/REUFUn11kP2RMw5qS9tgFCVYI+P+oMIiLkcXS/2iEpleJhUT8GrvnkSJblzeHqgUjm0tdjy5cs59thj/0pHM4e/NQ6JSBgdHeXUUxuzG6ed5hnWvOpVr3pSB/DlL3+ZHTt28M53vpObbrqJz372s4yMjHDSSSdx6623httt2LCBM888E8MwuOaaa7j66qvZtGkTp59+OqOjo0/qu5/OCEobZCFe3pagD6u0lPmpQ3O0D4JJ11HaeiQkw4xc+zq89/70YS784l1Nrb/qMVL25I6unWYw7WVADTd+UTCW/iqZVR/mgbFb0fwsy2x38ZJhg+QFB4u6vIWk5i9+J1otlPxgX5VkBFFHkGcanPnrPRICGfVQLoVr9jBREGLVCFadaiCpqGFHiEpEEG/ZTig/zmgyiu+2XoxzW69rv6dJKqa0Fzm9jbHqiE8kNB6vdwwSdnU+TnURihSfiavHoHAqxU2X8Lzed7Tdth35EYUgQ5lQWs8/TfHUFPDUEAl/3n8/ALY+gNJzJ9vMG9rus2FiA1948At8+7Fvh4FgPRzHxbESuLbG4QMLsNTNvOm6T3DXnj/Fjllzzfd+/4y7CbXnT+ypPPFkflYDqlYFKXGQCnsBGFBXU9n3Co5Iv5iJUpXk8LdJLvo6CCabpzyirU9dzPGDx/P+o75CZc/rYhUJlu2SWf1hHpLeyt7i3pqSwp/Df973IInh75IdvCP8bVk1C653r2yb6OxZ7Qh+IKe2DvbT2qEbfc74CiiJ+CAxHN83oLTdePlwPTmnj53JQHJh7Lbj1VlEghFPJNQrEnIJLSQSdFunZNikFl1Ncv5PGa3uxHHckARVJTEMgK0YJYVhe2NLgozt2ChKCUGeavCf6eEEipvfz5k9F4d/E13v+TRZaU0IWf77whXLiIndkV1/gpKuF6xeRk71AtJO5kdAMr1w3jvQ97+ckakEouw954dizINDZUG7oBwomRUEwWncLwLdyZoPzXi5czI/eA+4buvShlCRIOmUW7XWNWdd44jnZEgkdHVBsa7koFUSImz/6IKaCDPY5fvuY+Szn2XmtzfXWv5V6xUJ3hxypuOJhPyx/ax55T4WvuNc9M2bKd52G/pm71mkb96MsXNn6KMQQs2E9f0tSxtsk8yC2jlxLI9IsA9uZ/LRMjO7E9DbbOIqZr3fYrc47obShnoSxbGpbtoJQHJZYymWmPG9DMrtSfwVt/yOld+53Osq0U6RkMmz5pX7WXXZaU3GlLEIFBVtSIoA808vs+i5YyiDMd29QiLBX6f6zx173JtjUi6HIIpkTj+dVfffx/Jrv0emf4qRB3OM37Khs2N+msN1XcqG9bT5p52ZbBQuv/xy3vve9wKwdOlSBMFb395+++0sWbKE888/n2uvvZZjjz2WRCLBFVdcAcAXv/hFzjjjDAYGBkin0xx55JFcddVVmGYjs3/RRRexZMmShr8JgsA73vEOvve973HYYYeRSqU4+uij+eUvf/nkLsQc/mY4pNIG27ZJJBofbsH/Z7Ot3a/j8MUvfpGBgcZay3PPPZcVK1Zw5ZVX8tzneuZjl112GZqm8ctf/pKcX9N3/PHHs3LlSv7rv/6LT37yk0/q+5+uCKSnshgf+OVYy65dS3jxi04+pLHDgMxRWtaKAiR9RYLZAZFww8P70C2HHeMlVg1Gz4eQSDC7GMr2wEEw3Xhm2hV0BElHEF0Ssn8uhMaF4FTZQJC9Rem8jPcST0hpsFurNeq9BrY53yez8o88NPlGwJOllwybyq638OqTanW7A1nvBTwS0x4PAkd+XzUgq7XWfhGKhFJdAJTSJFQxCTaUWhAJjtGP68p0aZnQDLFilZko1xQJ9URCSpWo7v17AA7rXht73PXQLQHXztDty91bQRE1cFpnYmej6O5ESk5juWuA+FprVRJDNcVfSiSMlkfZW9qF6wpgDJJY8kXGnATwkZb7ffGhL3L77tsBWNu7lt5k4zkpmzbl7V6t59c/8DzO+tZ7qGbu5ObteU4djr43p6pTpJZ8gYKsAmeF93mn7TlbwQizzd7jPa/Ow5o+nj55OY9PPY6c3eD5q7gKJXcvIjA/tZQurYtnzT8K15qKN1t0fJNIwUURFVRZpGzUTPo2TWxDyT6BrNfIREmUkIUUFiV2THZGJLgYCECmjSJh1LkftW8de8o2sLqjsVNiD+bM4eSUeB+SAIeiSHCsDMbouQynlsduGxBRgjJJeuVH+fyGQS48JtrNfbYiwXW862k4BlOV2jNz2trfYCCoymLY7jDuuIN5JiAzWhlFW/5RVEfCtF9c+12miGvlGzr7yEISg5qqIwqW7eAKtWOX05uoGI1tPF3XxRWLCMDCrkGOmj+P+yswUWmvSHAwkIC+dE1ALihTAMxLR5c21HdAaNdqsmLq2NVBkprV0mxREiWoDmM7ItNtMsL1CIknRyGpxr9/c1qOo5R/4Z6tJUqLW/Ty7kCRICgKgqIgZbNQmWBiY5rKuEL3ifeSemH0fRP6GIggKEkERcE1DMr33c/Ed75D7kUvIrc2CKbrPRJ8RcJMi2tpm54iQksg+sRDQBzseN3rcaanWXbTr9CW1d2jWoauxRVSQ6AubZE8cSyGjpsh9ZJ/Ze8nr8axfJPmDfdy4L48ogY5rbmkTczlvd1nWpErEaUN/u+3pvxSoKFGIkHK+W1yK+3niJhMIqYkL8XXLtgPiIwWbTabYB8akZBZKEDVgLh5Gio0/LVZQLxOemSMVKdQljIZ2P4gZlliYlOGxMwI7VcXT39UTJu1l/32b30YIZ74yDktlU5ReMtb3sLExASf//znufbaa5k3z3uOrl3rrRfXrVvH+vXrueSSS1i6dClpn7jaunUrr33ta1m6dCmqqvLwww/z8Y9/nA0bNnD11Ve3/d5f/epX3HfffXzkIx8hk8lw1VVX8ZKXvISNGzeybFn79/Mcnh44ZGevjRs3Isu13Wzbeylv2NDMLh533HFtx5tNIgBkMhnWrl3L7t27AbAsi1/+8pe84Q1vCEkEgMWLF3PWWWfxi1/84n8dkWA7Nq4rorQgEoJsXFHvPBsHUPAd+V1XbZsRToX9t1u/BG3HDTPrrTol7JnxJOCulWO4y3uNOEJ8JjsoP1BFJVQkgN3gTzBVNkMioT/pvcTTShYMKLSQzwWKBE1WvUDOAaMukCvpFq6dYX5qSbgQHcglULr/iJU4wLoDCzluqLkW3rCdUDWQkFUkX5EwWwINcN/+daRXfBxXH0aTX+SVkpi10oKosSt73gjA4X2HIfuO/FWrymTJwJw+hoXpZRzTf0y4T/1LpWLa4bxphWCx3c6ME0CTkuDUfBU6QSH5K1Ldj/HoVJbnEx94aYoY9owvH8L4UXhgxCuXcvQh1vYvZTvgilVMx2x5n9VnnKO6PBR9abkoeO3nEmIWi6DNaTTKZgUpuQfLzzLLPtlU70j/ZBEQCYFRq+orA0zbYa/xIEiQF9dQFHRE1VvwLct712Aw6xHD0xWvZd/s629YVpitVUUVZ8EnyAhF9hZ/wIqBLAdLHlGYEPMN+yXEHAXTZn+r4KIefiAaKALisMv4I1r/PRzUF3c2LrA4fQzVva9ncFG+7bZZzft+h/jrUk/MApRbqAwuPuZi/vTQSh6b2EJy4fcoWvHnw3IC7wORbEIOFQmGbXglYj7s8lIKepnkoq96ZojCc0MiwSaafHMcAcfKomnZcO4Lot2gJgs6Q9Q/P1IspVy0UekiDobtYFcWY0ycjNrzJwSp3BS8T1aKCKJ3jRflB+hLdkHFN2FtAdtxsUrLcOwkq3uXgDACgoXoEwntFQlGW0WCSIry9n/j1LWDHlnQArnJ97J3qoLs5ltuV4/geSILasuuJIqosCR5MneVdtGiAqYjImH5L3/pZSoLXv1/aUSluDdJasvWWF1O4GOA4IKsIqgqrmGE6gYxlaopEvQClL1nSWrQRhBLaL0tzAKdWiZbUG3/+wxc1w3LFpqy7GqG7hVloAwrV8aPHRCpKb9UwfLWCc4er4W1lIh+1nueALQ2Raz3BJA1TzVgVaE6jVX0rkPQ7SCAGBAJVRPXcRDENkLgUPXQIZHQpoMKQOWxx9n5hjegzu9j2Qm0NXIMEZRAzPbhCI/VN3p1FahWEYPShkmPMBXzs54TY5uQE76fTumpKSucw1+O4eFhFi3yujAde+yxTeqBkZERnnjiCVataiwJ+vSnPx3+t+M4nH766fT29vKmN72J//7v/6a7O8JXow6VSoVbbrklTEQfd9xxzJ8/n2uuuYb3v//9T8Evm8P/BA6ZSLjooosi//76178+/O8gyAtIhkPF9PQ069atC9UIW7dupVKpcNRRRzVte9RRR/G73/2OarXapJZ4JmOp+kL+8MDhnHFWPCuX9QPCVnW2UZjxiQQcta0iYXnucMp/fgMr58U70AMNC8XpFnXn3doQ5tSxuMYCFnZ5L1xXLMeaVbl15QeNbcpcVNmvLy/pCLK3AO1PeURCVvEeTEUz/iVbP3YQdJl1gVxgYlYfeGc0Ga1rPUJyK48c3BhJJFi2Q3XkhQhShWVdSzyfCxcqES/jA8VRRKUAtndNEpK3rIsjEupr6wVB8MoKXK/udqJkYBfXclhyPof31Y4roYgIfivostEZkbDXuhtt8DH2VE2gdZAWkh9m54G+jd9Wsz6rEwFN7kyRsG16G9dtuY6F2YW8YtUrIrdZd3Cd993lpZyxdiHb9nsmjtPVafpS8c5x9QTQTITCJZgnGU1GEASSUo4CMFGNJxL0uhp1qLWYfCoUCeassV2hipRZz87KOJPuYwAc338KezYoFLf8O6I2wpIjPEL3+u0/Ijl4L9WxMxgt6CzsaQwz6lU1iqSAWEEQqxR0b/E/5mfcU1K+Yb83Lf4iV960CeOo9p0VXNfFFUxPkaC2ViQk29wvUQieVa2ywQGet+h5fOiHFjhK7DNqOLOY8q43eeVRyhj7CqMs64828cyoGUrFXmzfVNB04ue04zq4dgrXFb171vf1KJs6U0HLR7OLckVlslpATm/HdQWSskpG9euyiQ4ABtQjKG3+EC85aVFDe9OqrQPes3Ov9Qe0gc2MmBLgLTIXCy9h9+4xFp1yTOxxe2SEiGvmAXwiobHcbbRUxCotRZB0+lNZ+lLdMAG606atpOVgjJ8FwJ7KE2TXfA6zcFhISgymByP3q1ck6BHGj83H3741MkAuqbB3qtKSPJ+Nt6x9D5/87cMkxdaLbPDK0qBN6U4HRAJ4UmLKniIorH2fai7VCuBaNUUCcgJB8QLwwLhRTKVqWfk6s8XuEwbontgKy+Lv3ZnHxpj5Uzfp9OMIWc8XwTEMT5Xgf+/s9o/UG+2aZYhQFQC4toFr1/YPHqn2fq90QkxHH5fom8I6pRbKt9lBfqILilXcyhS27z8j9TYmx6TuPpacPYp0/CtbGhw6pRIHPvJRhMIOhvpAaFPagJZl//1dGHdtZ/CEJ0isjVcbupUybrmMWz00RUJlXKGyO0Xi4UdJDUWY3toGrgs7fjAOv3k1S89PIjDLk6MeY5uRNV+xUrZbGlY/U5BUJJ74yDl/68MIkewg+XOoOOqoo5pIBIAHH3yQD3/4w9x1111MTDSWBG3atIlnP/vZLcc966yzGtTsg4ODDAwMsHPnzqfmwOfwP4JDIhK+9a1v/bWOowEXX3wxpVKJD33oQwCMj3svu56e5jqtnp4eXNdlcnIylOPMhq7r6HpdMNBKuvY0QSAVVuX4S6RpFdIrP8YlD5qce8S9iEJnlhehBN1VUKTWD/HB1CB2cS2S2XrRU+8q3WpRtSp3PNX9RbqSCkOZwIStTFG3wpaN9QiCfVmUG0obLMdB9S0+9hfHQwVA4Dyf8zMlZSs+wyXow5imRl7Lh9LyIAsIMG1Mog3ewEOF9cC/h3/XxCwGsK8QvQgzbdc7Z6JAf7ovJBKMiF7MI34WR/YX70k/c1a1Y4gEv4Y5qE1X/dZ+VbvKZNkbvyfdmG0QBIH00E246Yf42eYJ/vm419MOU8561J4/MWa0l4t3q/OwJxcgJDrvqOAIFQQ6IRIk9NFzQTA4ui++LdyWyS186zHv+XTOknPCmut67JjeAXiO+WesGuLbexMgVThQnGhJJLRTJDwy+iipJV9AdoaBc0jLHpEwE7FtgFr5gd9ZIZh/bvy9Y9omn37g06zqXsVLVr4kfjunUZFgMEFq4Xe4pyTiSt78uWDlmdx8z04qZh+22cdAzltYfufx7yD3jCBMH8lIodpMJNTNYVVUEVwNl1L4TJnQvXsiqzQ+L4a7vbmxf7q9vNdT9Hjfk9FaEwlBprkSc79EoWTogNvQEjAOXYkk+N1xqjFqHpk0dmk12sAvSQ7/kOu37+W0ZR+MHXOybHjKAcB0K7GL6aH0EKXNl+G6frtfX5FQMavM+Nli105TqFrM+EQOroIsSaF02xH0yPHtkJBsVL1VjNr8m3QfRu19gHGj1iI16DJQaEFeh6oGx7s2glxuUgEITobKrn8kn1IQRYHh3Dz0kbMZ7o0mAgLodV4LgceOKBfRR87lxOUaWoyJXKCsE0Sbgt56DgbH30otEKAr6V2TQyESTux/PuZUkv6u9omPCedhlK6NTOhZ4LDojZq6NrQIhEsBkeAHc9Pxz6jQEFH0zPkEVW3YR0zPUiQECqzuJTCxtaX/gn6wRGF3EmnHCOpxXoLINYwGE8UmIkFJYpsSVgXEPdtRlke37nVNi40/nQ8//SSLvvMdlD9+AAq7ccb3At2hF8JsJI48ju6VXyXRa4PjQJRyICxt8OeZloPiQZyD28Cf9tJAo+GnkOoi2WNC1m5JJNjFktfpQBQYegXtg/1Ejuq4QnXSwBpr3QHB8c3xBNW/1ztUJMzsEJl4KE/P0j+TOuc1EQdt4NoC+pgJYxtxzl+BRF2XkK7ZioSNSAlfgWKDUyi0bj/6DIAgCIdcSvBMQ1RstWvXLk4//XRWr17NZz/7WZYsWUIikeDee+/l4osv7siQsbe3ubhF07RDNnOcw98WhzT73/jGN/61jiPEpZdeyg9+8AM+//nPc/zxjS16WjGXrT77xCc+EZqDPFNgWH7A2GIxk1VTiFYR04WyWe64NV5G7sacOQLJGmzLBgfS5qj2XfVoUCS0WFQFPc8zmkx/2neJF00myyW6kvmm7cPuB7JCSkl47t52sqG7QqWqUN75Fo5erIRmgl3+Aqdqx5dNuKOvolK1WNm9OlxM12eEp40x1J67uX9iA/VEQkrKYQAHS9EZ54AECkiaPnkNI2MSan+zHHjCd7pWfCLhtMEXc9/jwyT6oxeNpu2QWvbfSAKMlI/z/Alsr6vGRMlASu4AVcN0VjUECJKs4ygzTFSmYs9HPSy/lCXVpkYd4JTeV3H7n49moHtBR2N79dEekVDfXSIKqixilz1VTk6NMXyiUTUwWZ2MJBLW5I/jzo0FRHMeRy/sAjsFUoW9M+McEW/T0NDOb1pvXnjvLx5ESu4By3ucZpUuDgAFc6rF8Tb6GCiit7CzWigSvvbo1/j++u+TVbMtiYSgPCfw5kj4mS0XBwSw9X4OG1jC2vmTPLDTm8MDfklDd6KbkcpIbAvIejJMFmVENByg5KtRZgxvPndrjQuEeX7QtH+q/QLBsByq+18Jgsm8dIsLA6T9zLtxCETCz3dfRWbNn5iU3wA8q+W29VnpuLKggEQNTEHLLQK5T933KQrJfVA9wdsHl6pdjazFtx2XwDcrrcroB16MfvACXnDhi/j5/VeDCFJiH9Xkn5iu+ufJJz2yapCBN9Atp6lEpUZICg2KhHpDWMsNjFtrgVdG8+ZUsRo/T3XLQUptQR24yT+GSlNpw4z/jsj5MvN52R6M8ecit3ke6JYDgokkyAwF6gPBxBg/kwvPalYsBqg3TZyutjaF3VF6lNSyz/G4uRL4asttx7QfkV6xjj8dfAt/x0Uttw0Qlox0oAx7sPgjEvO3M6rHl381EQezlFvV9es58LGPo61cwbyXeO+VGpEQH+wrQ0MkB1zUrAWyFq1ICM0Wp8OuDW5+Ma4p4E5OEEfVhWoHWQkJCtcwQxNFIZlsbmcoCExs6WbsYZW89m3mfeK/o8c2bAIf8dSxxyBsSEMBbMN7H0td0ZX5qdOeR+p2//lemYB0BLk82xPAn6/2dR5xKEggrj23cZ96sqUFXJ/gEhXZ4xvadVZIdCF0Yj5JzZ9BDOZcO7WDDyklA3b8PLHNsHQEauUoPeccQ/4dVzQb/41tRpQ8Hw3HFLHGxp/xRML/BUTFCddddx2lUolrr72WxYtrqtWHHnrof/DI5vB0wCF1bfhr44orruBjH/sYH//4x3nHO2pu8QFrFSgT6jExMYEgCC3bTn7gAx9geno6/CfwXng6Y4dxC4nh77KtclfsNl3JFK7jZ4iMztqqAazIHUV17+tQCi9su60jVJBzDzIp3N1yu3pFwkyLReaewgHAIpuQySgZhPIRmFPHx5tVCUH5gcKy/GKKmz5Madu/+23oPBSrLnZ5BSvTp4V/O3bgePSxMzGLzXKsAAEZoYgisui9YOsDuZLlvTwzSuOLLqd6i4fxcrS7s2k7SJknUNIbqFgVjkq/mure19MrNZMDE1VvDE30vmNN/kiswpHYRvRix3JcRHUM1FEEBFQpgetIOI7LweIYqSVf4ecH/63BqM37jUFnhc4CroBIaFejDoQtRFv2Oq+DabsIot+mMtk6cKgP5PQI5/cA9WUPkzElBWtTL6a693WszB+GJktIeIue/cUWLt3MUiREEAkT1SkAFL97eJffKjSYP1EwgoX0rNIGO0aRsGFiA9945BuAd6/Pvr71cB0Rx+wi6fsUzA5S7eJqelIqRy6onfvARDRsASmVIg0Xq/73inhlHBLefoE5aMmaAqA30Uj6PDZ9G8mF32Rcui1s6RoHw3KwCkdgzRxLl9bajTzjS9b1FiUCs1GxSgiCE5u9rsdI5SDpBT9HG7ouVl6+ZXIbctd9SAnvvVKOKcExHZPvPvFd1L5bQr8DiDdWrSdLNUVEJotrdSEKKpKxAmPyJADU3tsYLXlzTfDJjFMXnER5xz9SPXBh6F1Tj13V+0ku/jKPln/sKdlc7z6rb1Fr+f4K+WTt+TfGnWRWX8ZNBz8VeczgKUpE7WBo/CpIzYqEgGwOVGj5lHfcgaoqDrrpkF7+KVKrPxB2wAj8cQZy8cGRIikcw5UUN38AwW0dRBXNaSRtFN2Nl/0HEKUqojLNeKX1MyQ8flvnvoN/REptId1BaU1Q6laOmSNAW0WCuf8AlQceoPr4E02KBKcQP27+ZS9jyYuq9K4pgayRf9Ur6X3rW0OlgJBKQWDqqxfAJ6kLWyw2/nwee65pIU/2n+WCWk8k1BQJTWoEH6Lmb9vCx6Dm7SCAooRBs2N6wZDYHUNOyiqk/Pdu4UD0Nk2lDd69obj7WPGSCZZ+7ZMwOyGSyDG5JcXIzdsx9uyJPe4g2BeCedFWkZCvdbFo1Q4TcCree18MMudyZ4oEKeWTR1Mx59s2wvMqpFII/npBsKtI+TxyfY28UYJp7xkZ+CTY462VFHP4n4Om+cbdHaoBAnIh2A+8JNHXv/71p/7g5vC0xtNGj3PFFVdw+eWXc/nll/PBDzbKQpcvX04ymeTRRx9t2u/RRx9lxYoVLf0RNE1rmOzPBEzbO1CyT1Cw4nuvplUZ10kgiCUKZoF5tK8/BsKFZSfSXpMiyQU/YdpRgffFbldvMNZKkfCxB99M9rACavXDiIJIV+Gt7J6oYNvR18epLsCxNPJalxe4iIJnuFUXjEz5ngz5VC0Df9rwSRijZRxRiJUOh34DklCXEa79jortLc6zamOw253Is6sMU/pU5DFbjktywQ9BtJiqvjpUJph284J+2vCC3pTkfUe7mljdMhGEgABRODx1IX9+8GiOe84y/jj5Z9CgWx1s6n+uCBo6XmuzTmD7bu9BrXUrpPxjbtXKrh4lw0CQvPH70u2JBDGxB1E7wCOjCzh14TGR23VCJDy21yMBjpjvfadCBh0YjVGWBGjwSDCayYFJn0jQRC/z1JPohiLoTgnLsUKSqh5BZj8gElZnTuFX96Z4zuFLIo/h+i3XN7QDnNQnGUhFL4h75bWUtnyA5z/Hy2KmlMZno1hdQ1KVOHy+twhWJTG8d0IiQS4yUmgm91xHwCqsYWGPNy8kvLGDYFh3vAXrwCwlQckeRc5sxjC7GSlUmdcVr3Qx6hQ9YoQnQT2yvgrLcjsnEgKVUkpuP7crVgUxdx+KnYh1+39wdB3J+T9v2CcKgfrIdUXP+8BREUSDilmBiNOxaXILyUVfwzXzKNJ5qJKIaXuGiKaexxg7E7X7HgRlmpGiN7eDIHkw3YdbXYrrBgRcY9lY0RpHTu2kYHtZfQEZF4NqXVAaGDX21JUfJVUFoWJQseIDF9N2Qs8CINJs8Ve7fkh65TWUhecAp5FPKojqCNNOhYLxLK9laAQM2w7HHs54vj2iXEJM7CGXPD5ynwDd6jCutY+q2ZrICspkAvK1FVJyBuzOifyJygRf33wJyYUyKbN1/TBA0p+jlRbKuqZ2j7O8ahrq1X0zVDFQJBTbEMtWLXDue+tbAdj11rd5Y9QrEioTYSmDOOD5adiV+PeBGxAJikL+ZS8l/9KXgCxTefBBb4yYdoZiUgUM7FL8+XaCd6ckMf61r+PcP0rfEDimR5aJ3dFlbK5tY4sDOMUp1OIBIMIToL5rA4SKBEEE5eVXwfF/17yPlmNySxp9aorUzp2ow9F+U27Vu45iYIDdTjWQ6KoRCYXW5bqun6gRA5KiAxIV6oiEmRZEgq9IcMtlxu8ZpTdD0xwEYGxz+N2SZkNBxhodad5uDn8THHmkVyr02c9+lje+8Y0oisLq1fGlrS94wQtQVZXXvOY1vO9976NarfLlL3+ZycnW66k5/O/D00KR8NGPfpTLL7+cSy65hA9/+MNNn8uyzAUXXMC1115LoVB7oO3atYvbbruNl770pf+Th/s/giAzqbaoZcsk5FDKWmzRnWA2KqYBuGhtOjYA5IKMtGC27E9b6aC0oWpVKdve9etSPeY/6KMdON/PhnngVVR2/jOruj1DJllsDsq3Fx9Hyd+LKdfY/iDTZTluZKbcdV3UJZ8kvfJjjFT2MqAtxZg6gbxYc4MOHMTrWykCnjEYUIipgTcsO1RSKJIS+hlEZdSDOvqU7H1HwT6InH2YghDdY7lS159XkZRQsmxYDpPmLgCG080GnarkzZNyh4aIgUlbrgNFwrbyn0gvv4ptfKOjset70Pe08UgQBAEt/xDJ+T/jtt2/j92ugUjQm19kFavCowf2AA5r/QB6gfsyStsvZkmytbz94mMu5sLlF/LeE97LG9a+oenzGV+lkJS8oLY32U1551s5u+uqWN8S2wHXSiH7qoiMmsM1+8CJDqDe96z38ZFTPkJG8b4jjiwBQrVOcK/UKxKKmz9AXvCUMScu7UEUYMVAJiTaehKBb0mJ8WJzdlghT2XPRZyR80jFmiLBO/+HWVdR2Hg5S7uWNOyXDxbcUqmtT8JMtYScewg1u77ldgBZX7HQrqtMPQKyIy23LwULz51gxrr9l4xZUvLZ5nc+xqpe9s21MoCIXV5MylkJMVzJRGUKOb0NKbkLWRSQsxvQBm7kzr23eR1lrCyuKyIINrtmvHtf9K+HIAihkW6UuWBASgVdCdLGyRiTzw4VDeCZ4AL01CkSggA/OIdRMCwHfI+LnNxHZc8bmkrjxitjiHIR1Q+E8imVxPD3YP6XeWz0idixq6YTttYdSA2ERFx66Re4e+TG2P2gRtJGKTTqofvPEk1sX9YVlBOWzM7evxXbnyuuHPpNtEJK6YRI0JncnGLrTf2YJQnMxvnXSCR4c1DKedfRLrW5b4K5XBd4Dn34wyz56U/JnHFGzWxxqqbylAY9mbPTopuU618DQVERZNlrTykIyP399L71reRf/vLI/cSUry4oxc+/oGxCTCYY/cxnGP/DARxTJLe4woLzu8m/LHq9aOzaxeZvTLP9t/1hd4sm1HdtAOhd4f37uDfA8TGlv1oubInpFFt0qPKNEAWlQ0WCliXgqJ2Z1ooYp+yrg0KSojMiQc5459ueiZnfthm21wTQD3jzZfT6e9l/+eVUN26sbRsQCfOOYsHJU6y88ADZ01q/e+fwP4czzzyTD3zgA9x4442cdtppPOtZz+KBBx6I3X7NmjX8/Oc/Z3Jykpe+9KX8y7/8C8cccwyf+9zn/gePeg5PB/zNFQn//d//zWWXXca5557Li170Iu65556Gz086yZNvXnHFFTzrWc/i/PPP5/3vfz/VapXLLruMvr4+3vOe9/wtDv2vCss1QfAk/XHIaLLXDx4odriQAfjJlq+TWfNjjOrzgbNabptLBESCi27rYb31bNRn0GdiiIRR3zHadRTyfnCeSUggGExV2nQpkATKZhll+GuIrkXVrJUx7NLvITHvZnbpAC/wthcd1MQElmMyXTGbapttx0WQigiSgSqJLM+ciL4/x2BddwrDKSAC3b5UPcBQpgfGoGJHs/S6ZTWoBu4vfpPMmt/yePnlzM5ypMRebL2froxHrGyaWUdy+EdUKocD/9g0dn3GUBGV0BBMtxxK7l6g1sqvHomASGjR+aAeruATCW2k5QCi5CCqE+hmZ/Je2xapHrgARTHROljQyH5w1IoEqW8NGRVk373vbtbxLlKLF7G41zNlHEou4+FqGt1onfl55epX8srVr4z9fMb0skFJ2VtUdyU17PJyRHNeLJEwlFhJcfNlPHuNl7mXfbLJsqPJOkEQeMnKl/DI2CPoVvx9CIRqHdlXwmiyjOvICKIFuPT4ruWLe9Ncd/GpDNZJwkMiQS5FEnC1sf0aZGEeU5UJFMGbJ9NlC5wEvenG48v795Agldk/VQ2aAERipDxKcsGPfUPC1s/2k4ZO5bO/fjvdWnsH/AC64y3mO/GUCe4bQbQp6s2lHgBlP3BzHQlBtNHt6Hts3O9o4dre91Z2v5mVw10szC6M3L5WZiB5aqzkDtTsXTw6toAZupEyFa8kQXDYV96N68ihQqRgFFB67sIyTXTrjKaxA+VV0HZ0wHwN+w9MkZK882jaDoje7+pL1YjUwMTRaEMkeHMNju45i72VJU0Kq0CJlVW97+tKKmB78/JAMZ4kq5o1RUJCTpASeyg53ntlaXfrzkJ7nVvQBjaxv5wAVsR/h3/9NKk9kZDTslCAUguFRj10//ntOirJZPvlV1ruwAPEqnLggTwAIw9nWXBBjCKhqwtK2wFIrV3GyuR9SGufFzvswU9exfQv+ug7rEiPrGGNjeGUy0g9PajDvh/OQZ/4nPLLGBJdiL2e2aBtxCceXDsobWhMlKgLFzLwnnfH7ueVPMy0JBICRYKYSOBaNm6lgmMJaDkL7Zhj4Mhok0Yp4xuUmgLuzP5ofi94/wbvrdPfA8ufS3GnRekTnyB5wgnkXvCCxn20LJLiKweK8eu0miJBaPyOOAgCou8x4hSmWm4q9/eRPP54tCH/fHdotij5xs3WTMz5rlMkAJjT3vkpPLgTfe8jZJ/3fAiy2mObvH8PrEU58KhHUsU8K+fwt8GVV17JlVde2fC3HTt2xG5//vnnc/755zf9fXbS8dvf/nbbbTr5vjk8PfE3VyTceKOXRfjNb37DySef3PRPgDVr1nD77bejKAovf/nLueiii1ixYgV33nkn/f39f6vD/6shUCRorRQJmlfaAIfmkVCxKgiC27ZHNkCXVstIx2XaoLOuDQfLHsvvWjmyvmLgQOIrZNdcxj0jtzRt7zguQQWD7DsoC8ktyKkdDQF1yfIWnv3JmmRx6/RWtKVXkVz0jcjjsRw3VA1oshqqBgKlg+O4WHgv/Z5ZNY8nDp1Iccv7yEz+a+TvrK8zVkQFSRARBLehtWSAZ+f+mfK297Aw5XUk6PIX6jbR57pq1X6LLMpM29tJDH+Hh0rfwpT2A3BYb3OP7WBR3Ooa1sPBzyjGtNiqR6BaiDvm2XBdFXPyVLTiC9pvDEhCkPWOXzxW6ko2ooiEA0Wv5tWxcmEngnzSu7em2tRlt0PJJxIysreozvlzuxCjsoHmYL9o70ft/w277JsatpsxZhr8ED588oe58vQrWZyLb8m5V7+f1JIv8sDM9wHPsDII7ATRaOjqcdRwvoFICEobRCmGSJhlJLpEfBXlHRezMn0qAFMV71wGNe8BAlWPIJXZP9168VgIMvxuPIkaYF6mH6e6iEol33bbAKZvIhgnn69HPWEzo0cfd2Cu6NrevKovhalHSCRYGVK+xLjYovtB1Wxs4yn5Qb9uGxi5m0gt/G54XTPuSoobP0Z/+Z8Br9TE7bkObeA3kUa5gReMJAZmn4L/d2/bmWo1DNj768qPuv0MdHAOo1CvSEj4mezqLDVW0fRUPHmfSJBEAQnv/B1sQSSU6rLtCSnByswp4f/Pz7Qu7dtj/hG19y7G9Pg6daipLTohEvKhqW9nRH44N1ylI4+EgOwyWnmA1J0T2xCb2kE2KBKKfmnD4ArkhIPQoj2yPTWBXZW8QFHW2Pvv72Xr2edQvP2O2kZhaYN/zZLdiH7nDccUcI3o465XJFQ3bmLve/6dg1fF+24ECFs6VmLeNa5bM3LUtLBEIgx2+5rfjeHYYTcHwe/wEIHgWRysy5QkLD6F8rp1THznu5T/dE/zPloWUfbXFaX4eRIqEuQOiQRATGoguqC3JrK6LriAJT/4Pn0v9A1JOzVbzPrnu1wJz2sDbDP0SAAwJ73rbRe939LQ/jEgEvpW1ebNIShp5zCHOTw98TcnEm6//XbPxT3mn3ocf/zx3HLLLZRKJaanp/nFL37B8uUt3IyfwbB96WmrjG1ak3Gq80g5KztaFAcIstKK2P5FldG00NCx2DKQs1F7b0eb9zMm9GhZ4EjZW8Q4Zo5swlvAaqL3ooryG7Bdl9Sy/ya98uPsLe4MOzJAY0Bddb19B+vqsoMFmCBVI4kE03ZACPqFK0iil4ELan8rpo0geb+3L9mY7VyYz+OaPYzNRDOqlXoiQVLC8pQoR/6SH0gEiomASHCoRjK2QUYLV0QURGxKKNn1jFpPIKjeeT+yv7muLSPnsauDpMRoE8d6mLZDecfbKW75dw7va9/+MReSH9EB1GwE9dKzneTjIAuBIiF+Mf2PR/8j5y/zmHElQsWzfcpbGLpWngV5L0AQtIMoPXfyyOTtseOajsm6g+t4aOQh7txzJ7/a9qumbVxHwrUT5NQ8ALmEjJx9jC3GL9g0uSly3EB5EBBkZXscre92RvlDw3Zfe/hrnPrjU/neE9+LPcbZKDuTSMndzNgesaRIInZlAY6VxrXTTe1B63HWwrN4+8rPU93/0gbfkwAHjPVkVl/CL8f+A6iZYRqWzY83/Jip7BeQs4+Sn9XKtZ5I2DfVmnAKyiQE2mfNkn4wVjHtlqVXAUzHrJFkHTwz6w0ZC3r08y/odODo8zAmTmZYPTlyu8Ac0LUyDHd7c7DcQv5dneWjEagHdEvHFb3nlGR75OlY1SPKNL9dcFCSIQi23+6yEcH7JRhTkkwEqUTZ9L7TMAWKm99Pdfu76K0jUvMJXxJP/L2o13kkbCs+hNJ9N0Wz0VStbE8B0FP3bFUF7zky1qKzTH0ZiSZpvGjBW3B9o8ih9FDsft72/jlvU95lON71DIwOWyFoX9tKoVGPoATLdeSOWsYFHiBGKw+QOuIgv6zcZLYYVdpAr79uqsa3f8T0A9uw/aM3V8a+8mXGv/lNrMlJr/1hPZI9SH1++0NXwJmIXgvMe47Eqpftp/slZ2NPTjDzq19R+sOdWJOTGLt2Yce06BYD1UAckeDYSIpLdrhC+tkn1IgHU6S4T2NmYxVzJLouX9A08BMKzti+6PHtWYqE4M/BOe6OUEYlcoi+IsGenooeF8iedSYr7/ojw6/xDaI7CPb7n9PHYa/cz8Dfd0bK1xQVnSoSEiw4bYLFH3xVdOtK20DNWeSO8665OVnGdcH2yXkpX1cWGhAJ/aupTKc4sC7H+A9/PnvEOcxhDs8w/M2JhDlEw6EDRUJCRh85n/7iv3HGcLN8NQ66v/DopAY0oUjg1822aptVMWzk3IOo+fuZsfZHbrNjZgcArtlD1g+cU74cvBBhYmfZLqJcQJQLSKKALNQWXvVEgoW3GFqQqxEJQfs/QTSZiJBBVuvKD1KKxqbSH8iuvpz1zhcBL8CvHryA8rZ/42WrXtywb+AOPlO1Ig3Y9DoiQRZkVN/I0ZzlyF+xKhSr3rZBdiqfzPrHrYemcw3nxHGx9X4Ux8v6pHw1gM4YolwGV2BlT7NHwuLkiZS3/xvPzr256bPZqJo2rp3FNftqpS0tkE94WR+3QyLhYGkUKbkDRevMlCcwPYszsQPoS/bxidM/waNvfJR3HvfOps93THtEQkbqq7U0FXaSGLyJTeVbY8edrE7yxt+8kdf/+vVc/PuLef8f3t/UMWGN/E8UN13OUd1nAl5LOyV/Hwfl63ls7LHIcXcUHyW56Gtsd38IgOov7Gwag/d79t9DxarQV6e2MWyjZTBk+fMsuF9kUaC8682Ud/wzrp2mOxX/TOlL9rG8aw2unY1UJJiOjiBaYVvWoLTGtF1u2307pDYjKFNNioT60oZ9U62DrrIfLIpu+8WuRQml506Untvbtqj1jtOkm+OwSss8WXobCIIQ+gYUYrKrFX9xblcXoB+8kEXyOZHbBYoEx8qysDuFNvRzSkMf4vot10dub1iNLUJl/zlSMqsIkpfJywhLAJg0vOBIC0pO6sxWZ/TmrJ8dlDb4ioRt6ifIrPoo2wqPAFA2bVwrT5JhZKn23O3zu6w46Dhu9Pk2LAd8ImFr4TESQzdQorFTUtX1nvf9qRqxmfA9RsbLU5HjAhRDtYqALMqsGRYQBAcBseEeiUJADFTatQp1EjhmnqySb70dMC8zgK0P4JitTWMD1BQJakceCafOP5PKntfCzCnxG1nVsAuD1mVFGt0JiuIFdb7ZIr0rOPBAjr03TYdB8Gy4hk9kiSJIMoLizT9jy1ZGPvVfODMzEURCN0Iy5ZEPgDMR3f1AECwkxUVMpMLyBscwmPrJT9h69jkcvOqqyP3k3jzdK4t0nxajLHBMtC6L4dMmmXfpB2tEgiUw+liWvZ/6LtXHH485JgEp6REEzmSMCWDwbp9FVtuTU96fo4gENRMSCc50/DtPUFXk3t6wo0EnigQhIPlaEUINBxqYRXbmkSBoCXLDVVIrB5vbcQLYBom8xfy/fxaIItgOZknC9Z/FoSLBsWF8i/fffSsxKxqTmzIU7oxQcMxhDnN4RmGOSHiawvEzRokWzHFGa21UGIeq7REJagcvE00WcR3vpTldba1IcC1vUVGyo2vlN096Zju2PhQee9qXgxfNCCLBqakGVNkzY8INDLP8WlPXxRG9fRd11TJSaaVW2z9San7JVs1a0KvJSuhFEWTqiroFTooUC+hLNS5QcwmZ1OBv0eb9jC1jzQuOsLTB9VrkBefZmlXa8M1Hv8lvS/+I0nNnqEjo9jN+iDpVo3mhnpJ6KW97D4urnilpys9auC5U9r6aZOnvInvSJxVv/FIHLRoDUzlBaGy/GIdun/xwRaOjrPC60XtILfkKldzP2m4LoAjebwzm7ZPBvqJHbvUnBsO/9fqmmRUnXt4blIIk5SSCXzU7Pctkc7aqJJuQcS1v/sWZIhatSeT0NoruTn98b464dWTTRHWCjZOeWdWJQycC8OWHvszx3z+e/7fu/8UecxAkhrJ1WQQn5Zk5QktFAhBmSqM6h5i2P7ZPUhx07iS94j+5eeTzPHDwfu/7SytDs9MAAZGAq7AvzgHcR+A5INK+tMGhSmLwJtS+33XUNSSlpFhsvZ3KrreR0TrMygnedsWY0oawXMjx26DGqAzecew7OC1xFebkKSzsSSGIBkilyJaiUFMkiLMUCTNGAUHyPlupvYjyzrdgmAqJ4e9QVtYBXklV0GJyxmgmgF0EXFtF9VVpok9W6D55EfyG2d4yvakcVnkxkr4m7DwyG4blUN33MlbpV7Eit9Yb16mRGa7rYvpEwlC69mxN+e+CqZjzAWDZIubM4eScYxAEAVHxtpVFKbI7Sj0SviIhzsMiwJBzIaUt7+e0gfYmzifPP4nytndjHoj3UKlHMFc6VSSs7l6JVTiKailebeGaFeygtaHiNJktDn/us6x+5GFyzz21ZhbYu4LpnSlmtoIV0VbbG9ff1ideA0VCADGVqpktBkh2IwgCuRUCXUtLYMWZ9Pn3ah1B4Rpm6H0Q1/5R6e9j6PgZ+p4fo0StJ3klpaG0IejaEHghRCFUPEyNxowfEAmzFAm+U70U1YZclJACL4OZDshz6xCC/YBIaKHiAdh3ySVsOv10pu7yVQEdKhLCEo6Yez0434KqIQ9679bqlD9PJCk8n0zt9MaQE9C1CLnLu9etydbdJuYwhzk8/fE3N1ucQzRyU//C9vECzzo9WiYLdURCC3lsFPSQSGgvnRNFAXv0JeiOTbc6GLvdRGUCOeMRBZYwjWE5YbYywGkLTuOBHQX2lBeT9V+sWTUHFShZzS8Ur9+8L4OXg0WMBNjo/kJkvFxCkLzfs6y7ttiSRc94zKbKaESGqzLLa0DziYSAwAmysbMX0uBlLuT8vUhiiS0TezliXmNtrkSK6v6XsqjXW7gGJIU1S5Hw8OjD2JTBUcNr2ZXwSzJEnYpp0zUrmAok8YoviU/7mUfXFbBmjmF+V77peL3fEbSVbB9szVTLaIM3IAsatntOgxIkCvmkT9oInopCa9NWNPDzkIX2ageoEV7VFoqEn236GRPVCc5efDZLZnUMABj3y22Gc/PDvw34RILpxCx2qZEXSTmJIirMGDPM6DMN2c+gzj1Q2eSSSlgvHxckGkGNun9uAwm9I9Suz7377wVgVfcqepNe5nb/lPfZlN9yMgqhIkH05o4qNd6H3S2IBNMxue3AT9AGnqBkXtj8uWs0jC2INqIyxbbynzBcHcfKkhYWIM1q25iUk3z3rNt4yZf+zMFc6+dVUMISeGO0QtCeVBBtZqpV+jLt9wlLazpofwvwbPVKfvPoOMml0cHc6uQ53L++H8cYQJAKTOjRWdi0ksas9uFaDsPdSdxt3rHOxNQ3W7aL68hhkK/4i/ppw5enuxLzk6uwy0nK9sMo2fXY7uHh/iIaDhaFiPHnORfyxKaTOds3ngvmoe4HDFuntqEN/ApBmw/UDPl60mkqO/8ZJSHHGn4algOuRlruJZ2ez5aZJzCp3WNVu4pqraDiTDEvW7uPMkoWbJjR44MLhSzVva9n5WrPF+mWXZ63jhlRNjYbSTnwsGhNJBhWQF63J1EDwqygWziO27Zd6WG9h7FcfB2PTbodKRISqncMQelOVBtjTIPsgiqFPUlKBzTy9YqErZ7aSlj+XCj7hIGahcwgkuLgGGIYBM9GQCQIfrmMoEQQCeqsc5TyzFrnn5uHkX2Qjv6N4w/Z6GNddJ+xA2GBN2ddw8ApeXM1rv0jgUFqXG29Y+G6vgpfVOpKGwRsWwHcOi+EZojZLBwYxZ6apDZQHdqWNuQjx+06TCM9MIr8uoj2kD4Kt99O6c4/kCqPkUvQUWlDZQTG/tCNOvo7Bk/6p9jt7PEJ7NExXGu+lz7sUJGApFI6oKL/7iHS87ahLZuldrQNzIqIO171SBSjjOUnbqSurtp8HfUJjN6VIIpIXVlgP/Z0595ec5jDHJ6emFMkPE1h2oAr1wXQzchoMnLX/VTnXcqld13a8di1GtDODHdU/UiswhEoQjyTP1XXck+QC5G+BC9b9TJ6K2/CqS7yWlcCXX5deTWiA4JniOgv6vxsk+ArEgKzxe2T3qLddWT6UvnG4/YD1clyczBn2y52ZSGuvsArP/AX6Q41RYLa/2vc/G8jg0EZ71zsmW7O5kgkMKdOpM95DlALEm23xurbjs2jY496/11ZRMpfVAZKCkEyKBlRJpG1LhYAKcVXH4je2HHZ5qpwgNSy/+aWmQ9Gfl6P8coMas/diPnbkYT2i92+ZA5H78MxBijq7Y0LAyJBFdp3hADIspTKntdw7vz4soyfbfoZn3/w81xw3QW85pevafjMdEzKtjc/l9c5uw9mvEWvRXzJTr0iIajzr1ckGLbBRvFjJBd+E0X2CYWEjGu3ViQE5RGif35DRUJdacM9wLWOdQABAABJREFU+z3Z57Pnef3mNx0s8MO7vfkW1eIyQKBIUPwMtjKLSOhpUdogCzI/3/511N47qdjN896yg7IJb+xALm643jm0SyvoSTcvUgVBYLjbW8CPFPSG9q2zEXgOSB14JNQrjybK7ReljutQNn21VwdmdwB5tRecJLoVrbZJCYuxCkeRUbJkVn2cdc77Y8caL3n3x3B3Ehzf7LMafdzH951FcePH6Cm+A/BVBkDB8ogEwcmQTXhj6L4Zn1pXrhZ0cChGKBLMwOzTJyRF/3oGKoOdM9tRe/+Akbi3Yb8aeW3Fqo+CkixVEsPuPJZbC/ySchJ19O2Ut72bvrqAcWFyLfrI2Qwrp0aOWz92oJR6y5Fv4YVLX8iXnvel2H0CpDokEoL2kJ2osXJ+5wXX9ciEdlicW0yXeRZW4ciOFAmmW0TOPoKUeTS2baVgV+he6V3j8Q2ZmmeCWYUfvQZ+8ErPG6HkZ9nTfaDlkDRvPHssuhTRDcw+AyJhVocFIZn0gt16JUjgeeG3e42T3Bd3w/T2NMbB8VDpUE8kSHFEgpbBqogY+8bC42uAbTK1LcX6n8xjz3v+ncH3vZclH3sj2QVVAkGgmIknEnLnnEv3ihKyVo0+9rC0ofFcBGSMHFXaACi9WZI9Jko2/ppXHn6YyR/+kPJO/17poLTBtlSKe5OUN8aYQ/pwgo4QUlA20dnaD0llfGOGgz++h8q6dREDm4w/kWHr5TeQec4ZrLz6crRunyTvqiv3mdjq/bvP65Yi9+S93SsGTvXJKw3nMIc5/O0xp0h4msIM3dHjFzNpTUbARZCLYf1tJ+iTV7Fn3CEz0N54DzyfhDg/gAAls7ZYDYiE/mzzizAowwjMFrv9BYfuNmcYTNuutVH0s/oiGpZjY/rto0QnS3nnW8ln7KZsjSalqVgTTFabM1yKmKK842K6kgqSKKGKjYqEoq6j9t5JWXAxnfc1nxMxi8lB9hfGmj4Lgv0go9WfGMIqrkTRFoTbbJ3eSsksIbgajj5UM1tUu5AnXk2hLEaqB3YVN5Na+hl2KfOAk0grgamag5TZQG5WGUaApCwhaaOUWmTfA0xX/GvpqtEZsFnoSeUxd74Pw3bQ2ycGKfpO4arYmSIho/RiFY5mQfLw2G3q2z8+Nv4Yhm2E5JBpm/Taz+NAaYSVR9SyyvOyHpHgilVMxwwDtXoENc2apJGSU+xmdwOxNK1Po0s7kdIC+aT3e3KJmiJhIkY5EJTQBJngRCDvjSASTprntcC9Y+NoOO54pQWR4FoggCwFRELjNexOx5OTgiDQpXYzoY9RjlAJmbPUDolZZTRWaQWLB6ODgN60iiqJGLbDwZkqw93R139+4jAq+17B0oEFkZ/XQxZlr7uDYDJRaS+TvW33bezKvpvkwuUklZPabg81U9BKzPMvKAHpSaUZB1zBjpxPn7z3k+xlDMRn05vRwpKdmZjs6ux3QL90LOu3vpu1qws8YX0dyc2Q0SSUrvuQMp4XR73vjUwCk+huJ/YsQlLylU9BZ5kpPVo1FBAJjgtV0wnNLuthWA5q3y3sFgTSvlu+LZQaMvYB0ZxL1M7RktxhGOMyWTe+N2jVsAEX1VeT5NQcnzzjk7Hb1yNQb5lu68Blj/JVUktG2V/9D6B1JwgHg8yy/4crVhgrnkJXMjqQrEdgYprqgMga1w+QHP4hjpmnbLw72qDW0kOPBFsXax4J5XGcqs6u23uQNr+NBf/+Oi9zlO4HWUXS/GszHm2IqA72YuVNJL+Va70iQUilPO8E8HwSKn45o//7XTWLawpQGI/MVrm+sk7QNEQ1KG0wcMp+aUMLRcKWXw7g2vez/LwDqAtntU51TFxbAFcAQUBbuRIW/jNuN7i/+A4AUjY+IdL3jn+ByY96pRf6TK10IEDoMVAjElzXxao3tIxCUAKix5Odrm8geSjBvpj1vs9pQ+C75ToiwaLz0gZZQw4IpygvDdsMS0bEdBqUJKl+g1Vvy+G89uradkV/jmU9RaDY1YUguriOgD0xgTh//uyR5zCHOTxDMKdIeJqikv0Zifk/ZtKIcQ/Gk6sH7R+nW7ygZuPYzBuo7H4z8xKrOtpeTu1Ezj3ErpmdsdvUL1YFeYaZamNEua+4jx3TO5jxzQWzmrcoGUzPwyysJWkd1jRmxay9HIP610WlT1Dc+BH6E95is6yL2OXl9IvHN+1/ePa56GPPwY4wwgqC/SDI0pRAkeAd91h5JiQxutTm/dOKtzA4WGoO6Ap6ASm9iaq4DYCje0+lsvvN5PTzwm0eHn3Y+13mYkAkrQbyZYWseQpW4SiiElxls4iUOIgueC/mjFYLHFILv42SiA4wc5pfK+q2VwwE5myduOYHCAKKKKf/2ShZ3lxNiJ0pEgJpvt7CTG+2EWO9EiClpLDHLqC697Us6a0tIoe7akRanJw6GDchJ2qKhFlEAoBrJ8n52eGUKiE43m8bDxbYsxAQYQGRECgSELxM7+7CbvYW9yILMicMngDAXVvHQqVDKyLBdb0uEkm/JrxJkdDGIyHvt4A0mMFxGrPOQeeRIEhOzmqRZ5dWsrw/+rp+7dGvkl58NVJqMwem44O5jDSINX08fdJRLY8zgOh652662p4kKxrFUOXUadeQndZv0YauZW85ugPHrvKDyNlHyKdrRMPsNqtFo8j313+fSvo3gEh3SkXxibSCEe09Y4aZfV99JGdwjAFEfTWVva+m1zyfXFJBHfh1uE99y8IV4kWUd76NHqXZfPUAvyG58GrWT/8RqPlpBKUNM3o02ZdSJZILv0lm9WXcuvPOyOM2LAel60H2ub8Lz7UglcMWkKbthKVj9V4aQaePqXI8G7m1+CCZNR/kQeuK2G3i8Jx5F1Da+m5Spea+5/XQxT1Iyd0IQnvzTk3SENSDiMo0+wtTbbffXdjNhL0eQZnoiEjIBd2HxGr0s9V1ceq8O2xDxA3mU2USWxepjGkU121A0P1kQ8YzJZZ8NYUzEe0HMPT2V7Hs3FGyy705lT7xRFIneM+iBg+DetPSpEfO7r3uABt/Po+p3/05cmzXf64IaiJUOnRa2hAaF5YilGSOhevfhqLqP1MTXdjH/WO4idjCI6Hh90StqQIPhllqgRW/v4Wl11+PPDDQvA9g6gnG1meYuK65zXV46L5qQBD9H9BBsC9ku/19W793nYo/dkBSdFzaoNRIqkgiwQhba3pEQgpBAEmqogzVlYIF3UJ8TxQhUVPExHl0zGEOc3hmYI5IeJrCST2G0vVQ2NM6CposIeG95GcOgUgI3M3b1bIHMDO3klzwYx4ZfyB2m/qMsBhR2vCD9T/ggusuoJT5BVBTJCzrWkp1zxvIll/SNKbl2NiVYVx9fhi4yH5Gy/QzGsGic7a5G8BZ816JMXoelt7f/JusRmlvUgoywt5LPAjURBKR7QSDkoyJiIBuf2UHqUVXs0P8JuCb3QFmnTT14RGPSLArHiFSXy+bDDKgEWZ3elBbT9D1QqO4xVNMuK7I4uySpn0AcprvpSDYTV0HZmPGX4hKboeLDWpdJ6Kc/mej7BtwBS7t7SDLJnL2UR6ajO+uUJnV8qxe+m/aTthycGFPbQHcm07g2h4Rt78YHfAHAWFCSpDzHcpn6jqMhGUOdiq8hoIgkJS8baPamkItIA9KR/JaF6Vt/0p69AOAJ/9+13Hv4tVrXk1KSWFYDvdunwhNHGeMyVhpeY95PsVNl3PugjcBzbXe7YiEHp9IEKRSGPwFEJ0cVmkZQ8ml4XEGSLtLca0cKwair+v68fVY2gZEdZx9LYgE3W4k+dpB9J+Bk50QCaa3jeskwvusHfYb61C772XciJYPbzB+RnL4hyjJg7iud8yziYR9JY8QdqwUOBo9aTUM+qNKDwAeGL2T5PB3KGq3ATVCrVROY80cw4B0AhlNxjVrWfCEXJvf/epq7PIyBKfZfLUi7EbObGLa8oLIoFTF9MtiAtVQYhaRIAgCsmQjiEasAsSwHRC8+T0/42X0BakSvnd+8MQ1pFd+DG3wBnJ1z+1sUkDU9rO38kTkuOCVvQiCi9iBUmo2BjOej4VltlZCOXjXLqu1V0yJgojges+Qg8X2Rnq/2PwLRjL/D7Xnj5H+O7MRtDFG1KP9bWyDypjK9t/6Aawr4JT8Z2FlEtvwFSeaixB4JPjBnJjyDYYnYwK5YA77QXPuvPPof/e7/X3rzk294aKvSBBT3jlxYto4BsG+oCWQentZ9ed7WL3ugfZEgpZBlFsQCbaFY3u/WUgkqDz8MGNf/zozv/Ta9gqpVHT3geC4DAPLzXrnLWpNZTUrEgRBQBkYILF6VVgG0rybxujDOSZ+eXf8d4eKhIBI6ECRkPeupdOGwA/KB2pjd2q2qNVKYKYjrmUdkWDu3MmO93yC3Xf2wGxytOibUvskFmoWOeEdyxyRMIc5PLMxV9rwtIX3YkgqrYO5pJzGprZA7gS6HxwklM54pMC1vBTT/gygYpVBBMfoobTtncw8qzFYDTo26GUvqA88EjK+MqEYkX6XBI3yjnfQlVRCYy/ZX0wHpoMPjz+Akr8PJXls0/4BuRDl17C7uJP0ik9QIQs8j7zWjTl9FEnFy6hM+C7IKtFBUXciDyWYMqaaPjOC+nf/9goCgPp2joEioTgzjCqLDOdrCzM3uQU5e5DR8kqgsVQhaAknBiZ9ioSoemy/Y/TSn4le/IaGiHikT5cU366sGBAJQod1lIDe91XSfSNsmuznqOETW25btbwFYErujEiQZIPk8A/41QGBT7hvjCy3KAVEgpMAscpEtUYMPH5gL44wgyZn6a8z40soEtb+N2KYMgmiy3xW5FfwL8f+C/3JfhZkFnD6gtM5ou+I8PMpv47WdZLhnAbIiovYv/OtXPzy0yPHtV3PSE/2XfM1WcHR5+NqGoIg0Jfs481H1jwhHt4z5ZE0vq+E5ZpUrEpDm79w7Fn177MVCa3aPwL0+VlFQS5SNuyGWu6UdRSVXcOcc6p3vwXfr5BFGXkXUGF5f/R1zSfy3rhSidFCfKvQ/aXtSJn1WB0SCTIJLDojUwN/DtdOdPz803wvmTizz8D7JJ9MQUEByWgmEooekeCa3YiC92xKit3MVOeRV6JNbA9W9iBn12PY3vVwxEnU/pvZ72aAU0ipMtmEgmPmkZIeyRF4VkCtxj+qtt7xI7nAZLZfOYxd4yaZHu9YglK1RMQ9KpHCBiYiSsaC7xP89o9nDJ/Ot34vYlS7wtKQfYWDiHIRVbYbTDkVpUJ62WfZ4go47msRhebrExgFy0LnaqkAgblmFEFbD1fw5mZG6UwxJZHEosJYhBfPbASlUq6jdKRICD1zBJfJagmY1SXBqobS8gB2oez1+ahMeKUOgKyYsNdPBKR9RUImCRRi2z/W/ABqz0xt1SqW/OTHjdtpzUSClPGO2y5GrEscm6BzqKAmEEQxrKfPnncuicPXoi6KKW9R015nCuIUCX5pAyBoKqU/38vopz9N9pxzWPCZT0f7KtRh9POfZ/xbOj2rsgzOnt+uG1na0AnErHeO7HI8gero3thCYLjbgUeC2BUQCW68GSfgVPySkUDt0KkiQVYRWyoSTBzLL23I5qg8sh5IsP/OKtln3U7mzDO97UJ/Dj+po2VZcOok4hEvQjo9+h05hznM4ZmBOSLhaQjXdcF/maTaEAkpOUOBWgapE/xq5k1kVoHFlzvaXvYDynrVwWxUbZ9I0IfAVZuC9y1TXg9hu+rJ3cL2j5oEuBSMErZjI4m1xVUtIKq9HEeUH5NcuIddxTQwj4cnbiUx7xYqigQ0qhpU1UJQxpmoNi8cK6aOqEzj+iUOC7ILqe57Lf09XvYuyCRrYnRQ1J/ugXEoRbStDOTBgWx9a+FBMqs+zJgzBDwH13VZkz2dLftl7MpCPn7h4XSlapm5ce1HJIcPsLNwDNBYfmI4QUs435FfFhE1r8zB0Qdig8SslsR1RQTBoWpVQ5l+FIIMqUTnigRHmkCUxpmotF9ML088nx1759O3YklHY6fkJOgALrqtN7nF246N5QdztpFHShxo6Grw9ce+QmbVDaTL5yGKL2rYNy8cxoFqlaoRvahfll/G2/Jviz22kbJHWLh2KpzTAF1ajj3jy8lK0XX+S9VzuWvdWs58vtcPPVANBEqb2fjj5sCpX8EsHMaynr5Yp3rLJ6yC+6Y+s59NyC19VwB6Ej6RIJWagi7LCTxLvDHTcgZbHyCr5dkz6QXacURCMOcEqUKhGr+gf2Tmd6QW3sCIez7wwpbHCrBcfCP37hinb1VMb/k6BEQCh6BICIiEIAicDcvVQYCeZAZ3RkXAaHpW7i16gb5jdpNPqUiiQL90HNu3L+Gck5tJUKgRksFzxBZn0PpupQrI013IqkZGW4pr5cN9UnUKkSKbUbofYk8ZYEXD2IEXTFAytjr5Qu7adxgDq7y2eiVfNZSSm4NpWUhiA1NxigSrpkhYkluCqs9Q1WseOyN+ZlwVG4PiIV+mjeBSNIvk1FlBMzWTXVk8dCJh2tqP2nczZSlDfSeKejiuA4L3LMlpnRGdipjCYoLxcnuPjpBgcuWwnK0VElICXBEEh8lKgSbPBrOKYzYGj3bJn6eVSWzDb3moOmEHhyCY6z1tPj3z7kB62XMiv3v3R76GvmmA+RdCCi+r7VbKqIsXN3oB1Jc2+F0bgs4ITjFKNWDiOkGw36iW6b3ooshjCaHWKRLKEesRu0YkiFqippwQBHLnnde8/SyI6Yw/jOB5JMwaO0RdRr+6cSPT116LumIF3a94RfS4ubx3zFUzNuB3/fIDUQzKJzpQJHQHShRPTSFo0e/sxMqVWD29iLJPhnZAUgAgqbXShumId7tthPNPW1F7xkxtTqA8si6CSPATI1oGNWODakALhcgc/udw9913c/PNN/Oud72LfJzXx1+IL33pS6RSKS5qd5/P4RmFudKGpyG8bgWdEQkZxVucV+1yRy2wTMfERkeQ9LZjBwh6jZetVnJk7wWl+VLY6bo616nqFKMV70XiGIOokhjWJ2c1hfSKT6AveD/bp7c3jBmoDuqzVmVxK3JmE1OGJyOdNrxALq/1NB3Tbft/TGbFp5hUf930me5nWwS/13rQTjEoeZjxJesJqXkxC/CS5S+luPk/MEZe3PRZqEjwAwBZkhAkHRfvHO2ZrHDzXcdQ2fUWXnP8Gl59YmP2RRbiJc/mrOBCk0USg7/yPxXpzUQvsFOqBI5HPsz2E5iNwO8iyJZ3goBsCvwVWmGefArG2PMYSMSbqtWjXj4fdez1fwtk3vWlDfuKnit5X6K5fjWfal+X3QpjZf977FRDYBqU7szE1K4Gc7sW7IuovbdjZm/i8fHH+dnG63nswJ5w+7u3ekTC0Qu7qe55IwP6RbFk0Ljya5KLvsFjU38AGts/titrAOgOSxvKlGZJZq1Zaofe5CDlbe9GPvgOXNfLtPfFzMHAa0SQyhRa1PQafsCudBgs9qurcCqLcexmCf9sBPPTdRIdd21I+Nm7IBs+G45vQNmbToedGKp2vCKh259zAfFUjmnfGzzPZZ9c1eqCl+TC71EQHyObkHHMvLd9YS19Ws18bp91N4mh69lZaS5JcwgUCd6YiuzLk331QsUnEtIRioTgGR9nEqmbFoLod8aQE6F/SkBKBeVgKbFx/g5kMrj+MyrOsyRsXXwIz6YAM8YYWv+tOJk/xW5Ttarge+MEvjLtoAlBh5YOiIRgXjhq2KmnFQRBQPS7b0xGdfewqtjWLCKhWCMSLF+RIGkO+GUrQTAndXUjaw6CFWP2OTKBWZRxPX0Dkz/4AZtPP4ODn/jPxg2jFAk579pGZuAds6ZISHj37P4rrmDff/wHVkwrytp3ZVuXNjhmrbRB02rtH8vxnXnqIfpGjI4pRhAJdf5CdRl9feNGJr7zXWZuuil2XKnLX584Lm5Ml4Kg/EDwSbhOVA9i3lczCW40seJj0dVXs+z661AzgZFjp0SChqR65zuWSPDnnzw40OA/Ed6irltHJPjv4FY+FHP4m+Duu+/miiuuYCpOofQU4Etf+hLf/va3/2rjz+Fvgzki4WkIw7JDw512wX5OzWBXh1iaORLdipcLB6jfJqN25pqv+G+E2XLdhm1KZ1LYeBk5eYjEvJ+ys7g5/GzzlPffA8n54GgNEvC0JoWL74lZrfIOlg+QXvGf6IM1V+6gXV4QUJcsb5++RLMPQm/KW8wYET4TgdeA4C+SvIW0Ezp6F3wiISVHt4pa3juIa3UzWaz1HQ9gzFIkBNfQ8cmhK258gumKydEL81z+d82dCBQxaNsW0cnCmU0k1BajjtETq0hIqRKO0Q/GIC7RWe8AixInUtz6Hg5T/qHldvUIiIQ447h6BHX3iQ49OhKKjOt4vzeKSEjICS5a8lnKO/4Rx+wmKzeSSmNVT7ExnG12hpbT21B67uTBkYjWVsDB0kE2TGxgrDLGeGWcO/fcyZ/21QKRqmnj2glkMg1ZplxCQe66n9/s+R5jlebOHoHyICjVkUUBtfdW6L6FazZewxX3XMIrfvYebtswQkm3eHDXFACvPdELFHdNxJ9nQ9iLnN7CjN8msF6B0K6sAeDFK15MZuy9GKMvaPK8GJdvJL3yI/x2n+eAHpAUwfEs70/HymvzWh7wiISZiHKj8PjDThmdldaklM6NPmfqSxs6nH9JvzOK7kQ/Xx28+70vlcGcOQpj8iQycmOQHBAJjtkdkjmBtD2qrAtqfgVS0GpzVl1zTu32Wo365JkoFxraBQd+CdUIJVnQ5laRfLJTAAQzVFOtkl9Pads7OayrWXas+eUTcaUklbr2ioqoIGQeROm+i6Iv3Z7SPfI3o+Qb9utOqbg+GRSnbApUIU+GSMgnvWe5K+hNJqIBAiWJ6wpkO3w/JnzVxlQM+dEwvln1x+9MkQAgut45mY4hEoLSBnlogIVnjJPIB10baqUNQVYZqNWpt2nR6PqGsIL//hJ8Q+Lp66+n+Me7ahuGigQhHFPsygPglCLuGdtk2TmjrLjwAInVa/0xb2D6+hvQN2zAmpgIlYJNUNNIgdlipNrBQstZpIcF1MWLQ6+F6vr1zPzmt1Qefzx6XB9SJiASIjwS6omEukA8kPzHtX4EEHLdIUHlRJV7AAs+82mW3/xbMkP+9etAkSCke1j9in2seeV+5GwHxFdYmtG52WKi22T4VUuZ95EIg1PbJL+sTPd5J6MMDaHMqylmZNV/d+gztXMXlDaoWSrjCgd+u5+J7/+gs2OZwxzm8LTEHJHwNES5rltBRm39wM9qGuXt7+J1iz9ZM2ZqgSAQc12hY0VCYAoWVyMMUDUAJ4WtbUHJP8CBSq3Dw6ZJz+18QcozaMvWEQmZhBy2tJvdAaFqG4jKFI5U+3tgMmj4AXXF8T4bTDcTCX2pPACuUGlqXambQYmAt5gvmBNkD/sgxoIPApCzTqW09d08b/CiyN9bb+44W6ZdC/Z9Z/tw0eEt3h8ZeQJBKvChF66JNLxUA0VCVCmJK+OYXST9bJ4qi1QPXIhVWo4xflZsxjmpSpR3vAN953tY2rU0cpsAtq3iGv10K0Mtt2s4Zp/8KLUhEhzX4UB1PaJ2AFVuTWgE0OQa2RRFJMiiTIbF2JWl6Af/josWXs3fH/b34ecFP6Be1j3ctK+uPkRi8CYenbw38rt/svEnvOLGV/C1R77Go2OPcvHvL+Zz6z4Xfn72gldT3HQ5mdJLG/bLJhS0vlv5w9j32VPYM3tYdpu3kRz+NptKntxYlUVcXx1z++7bAbBKK3nnjx/k5+v2YDkuC3uSnLLcyybumSxQjvEsCYJEVQyyzYemSBhKD5EVF+Pa2ebSBreCKJfD7iazjRzjyhqgkUhoqUjwyTytw8VuSdiE0vMHthcfa7vtwsxSrNIysHo7NnNM+gt604nJJPoZxP5MBmP0XPQDL6ZXaySt6ksbAjJHVCZJL/8UV+/8p8hxA7JUDlqEzjofebWbjFZTJAjKVMP1SEgBAdJ83EGb0cAj4cHSD8muuZRHyj8CwDazOPo8+hLN3iFJP3AumtFZ3vp7NCEnKOW+R2LoRsZ935kZ03tm59TGwCuXVEIiIc78NGhPqXYaCNWhOxF0QNCbTEQD6JaOY3bhWrmOu3r0qEPYej+G2X45FfoMuUrHpTUL3VdS2fNaUkJERwCrVtqQO+s5ZObryHIFHAcqk+AKCLKIlKz7Lv9daZYlDtzfxcEf39U8LuBa3hwJCARBrb3zZn75y9qGgdliogt89YyU98hcO4owtE0kzUVJOggJ794S/daSu970D2w+5dTYYBs1Q3qoSvfKEtqKiPeYY9KzusSiF6fpuuD8UJFgj46x913vYvzr34ge10eQUbdNsZlICJIwghj+TiBUUcS2fsTrUhAoKSJ9IwC5pwd1eAGS5K//OiASSHQhSiAIxBJCDQh8Lw6l/WPCIbsyRfLoo5s/tw36Di8y9E+vQJk3D3l+jUgQZf+7ir4aQcuB4v8mLYNRkJl8qErh9/GdLJ4RcF0wSk+ff2JMmFvh8ssv573vfS8AS5cuRRAEBEHg9ttvB+AnP/kJJ598Mul0mkwmwznnnMODDz7YMMa2bdt49atfzfz589E0jcHBQZ73vOfx0EMPAbBkyRIef/xx7rjjjnD8JUuW/CVnfg5PE8x5JDwNUTJqC79EGwla4PxcbNP+J0CoKnAUkh1mRDQpAXa8tBdqPdZzSg8zJkwZNSfewGixP7EEoKGW3AsSvZf92CwiIVhIB6oB8MsFXO8zx3Uw8bJAC7LNi6w+X5GAVGGmYjYsDAMiQmhqv+dgOzZTRQnHGGB5d7T8fsaYIjP0a0zXpFA9k946E79abbO3OEr5L09XsNAtm1L3V8gMFNCllRBh8qdJKXCgHLFQX6CeTGnLICed5i2iVEnEnDwZc/JkRKGxL3s9guyXYTnYjttQLjIbgbt6VI/4OKiiN0eietbXo2gWuc/4KOlloMqdmSxpsojrKgjEl2XUZ3V3T9S2KRpFbLxjWtO/sGm/jJIDs7GlYz2CDGhD+0ejtm3J/97ANDRALinjTqSBiYZWlAFmnN3I2Q1MmZ4iRRYF8ImEwCjSKq5kxrS47Hovi3bq8j7mdSVIzv8pctcDXP3oCO84/s1NY4dEgp+drg+YO1EkAOGzYbYiwQ4IBJ+k0GYRCXEdG6DmkYBgN7WHrUcQLGpiZ4qEEed+EoO/YkdZZLZPymy8Yvk/8IVrl5FWpVjlxGykfEWCGaFI8DpneL+lJ5VCkQRM26Vs2NT5p/Kd877Dp265h6s3ToTlR2lVQ1THmbHEyLrpWmmD/4yaRfz2JLrJJGQcfYDyzrfgmN2oa2rXIygJMuzmeyZYaypBaYPfFcf2vzMoaUlFdBbokoewpxeTzke3usNKU9z8Ad5+1kJkUUYkhUOJCd+3pGR5909QQhNAEgUkvJN2oBBNJMhOL1ZxJYP9S6K/uwXyyaADgkFllologIHUPEpbvM4pnXY1Omfon/jz/WeQPWpe220r/vtXERKILZ7B9ZinnMgjhYPgRmScLT1UJIi5LggeTVYVKpP0H1mg7z8+DOt/Bdu97h8BkWC7CSa3pJH27yTK7tMNyBa1UZEAMe0fk7XrqQwvJjtcQe2PUHUEJZii4kfAhC0gI8evh5omv6wCVOCY5pbRoY+BP5/FdOM4UrZ1skXM+N4OlgCzS1WCrPosEssOiYR4RQJaDlFxcEwxWkkRoF5V2kn5gSiB1gX6NFSnIBPRoWpkhB0vfwViLsvysw9VkeBflxh/mNo58d81dYoESfTXArP9EQC0LFLC914Ye4Z3bTDLcGWz2vFvhg/uA7WzsqwAb3nLW5iYmODzn/881157LfP867h27VquvPJKLrnkEt70pjdxySWXYBgGn/rUpzj99NO59957WbvWUxW98IUvxLZtrrrqKhYtWsTY2Bh33313WCrxi1/8gpe//OV0dXXxpS99CQAtxtNjDs8szBEJT0PIQpLCxitQZafJWG42gux+KUYeOxuB7NR11aYgIA7D2tE8uMNgxRERjLSPavIOtOx+dMFbABbN2kLwhUtfSH+qH6e0EjAbiAQAmTQuMDqrlaIeZETqiIRAkWA6lhegCQ6uKzA/gkjI+QscQawyXTEZyNXOZa2zgjd2UqkFgpZrMeZLMnvT0Q860zERuu9AcQVmqgZQe3DnxWVUD5zPylWrgRqRgGCyeWQMUfEyHUcPRpvDJaQkmH4njFkIa+v94LA+A9mdUmMXp/WkQNmwyMYQDgBbi39G7b+PKfc04IjY7eqhSUmwo4+5HqFrviOTnWW0FQdV/v/s/XecZHWd/Y8/b6hbOXSOM9OTh4FhmCENQRkkCgiIShDzF7Oy7iqu2QEVFVdXjOxPBYwEJSioiyCgknMYYHKezrkr3/T7431vha7q7qqudkU/fR6PecxMhXfdunXD+3Xe53WOjD2NIqE73s2TI79BjVgY4+uLZP+9iV7xeUaA5U2lpE3EGwU938oyGS7x9tTuBIeFxb4uJB0mXCLBV3xMh32enNKmXASkabnScmcCpso5IgFEm0pHuJN01mIwLiZrxy9rRFVkgp4gGWD/WPn8d9eRX3Mm067/BzClh0YhBlODJHz3oDWkSGaPmDS2S1I4BahSuSJhXfM6/vuYP3HZT59homPq65VbsHsrWZEjbwiYLlMwT4ZLeFZDkp216C3c9OdWIpHSQsHGhv63kjIzNPpj+DQLI5tgOBmnPZY/vv2qH1tvBiuZI3NijpmfjVXWRNSwig0RJ7c2NATq8aoKmuIjmxRGZ4XXA3e/ZO3SwsU7+GH6xtMce8qJ4n3OsWI4fg97zTvRGtIgLy157/LgCTzyQieHLF1W8hyAboFtRGkJCOJOtYNkpQQjaRFZGlUWkUj201Rfej56pCA6MJAoJd8AIuYxpPYv5oRjDy/7/HQIa/kEhLFMsoj8dVGYcDFZbTMVpksHmoyTO97A4y83ELJL1VFTwSU8ysY/6il8DVmiSgw5GGb0WT9qwCLkEAkAUqAelm4URIKsgpOeosTE/jdT5Q0Abce01S3yCxUJRQW665FQQCT4Dl1D54kj4CvTomDq9D4dBVmlaXwcJRIpIhIkn2/KGEVkBTwBUbxlJoqLU8j7QDiKgckxki5RMBVkJ23CKqdIMMuv5puj4n6gTNPagDdM5wkj0LAU79IlZV8y8J3vYKcmqE/JqH6rMkUC0P9CiOyATMNrn8P/utI5hZVIYPT3IyeTBYqE6oiE8c2jGL/8JdHzzsu1fwDYehZ9QkGeSKPYNlpn/rhWcPZfwol+LFSNaiFUrxP/OFyeNJzH/x06OztZ6CSlrFu3LqcU2L9/P1/84hf5yEc+wne+k1dinnbaaSxfvpwrr7ySW265haGhIbZu3cq3v/1t3va2t+Ved8EFeaXmunXr8Pv9RCIRNmzY8H/zxebxf4J5IuFVCN20wfKiSeqMq2ZBTcXX9mt+dnAHy/d8jjO7zpz29YWKBG+F8WfNvi6MMYuIVF4Sb1k2tn8LWmgrSGLymLRGc88f03YMx7Qdw08f2QO8VNQWAOCRQmTJRy66MEx34pTfTllWwQTdNHK957YZoClcWpS6rt+Ski5ZAZXRMNMt+DRBQBQqP7JGlkHl92iNJpK6inKqgZxMW7LpT4wB+UlEQOpAHzmRJQEx0Q5qLpFg8lT3VvH5VoRIoUlVAdwIt7RZjkgQEzO3OCwiEqaRrXtVGV/rb5H9u7hvj8obV50x5Wv3p5/F2/gAw2b5SMRyCKn1WPEGLHP6QtX1fbAtf8XHn1eVyQ6cwbpFobJtGXvG9vBS+ma0hjasTDsvmj/io39ewHdP+S67R0VbgWVEWVBfuspV74tCHJJG+X5v1xztqV0TqPEBkAQZYtkWsiTzsx1X419wANl7SdH7Ij4V25iGSHB71OV8RKhtF8hlE8s5cmE9lxyzkEt//DiKJHH8UvF7xLwx+oDeePmVHFtyZeuOhF6WUGQJ07IrUiSMpkfpU+/AUx8glf1o0XPWJEl8SWvDNIoERVaI+cV5Np0iwU3gmCzlnwoBJyIvU8YLZTLcVo1KZesATYE6bCNGOlNKvsmSTGr0cAzLJuoPoDTfQijwHPfsTXBYe7HHyHBCfC+3vSTqyxc5CT1RQiQcG3kfTzx1EquOXQSU+uXUO/3oEZ+aI5sKjTXrvOJ4SVulRbkgJCU0Z9XdNbZ0iYQh9X/xNuvIyjtL3ptTwU1BXrueMS7JJK7v/YxlxpAkiSO1T7Fj935alpeuntZZx7C/v52G1eVJCrfQr5QEL0ShaetgfJwlDaWFX3YWRELEuZ9NZaxaiLV1G8kOaYTKXIumgq4cRA2/SHfCD0widowMscUpYm11DAeC9DxRR3hBipCezBEJ+OuhaRXctwkaloFz71AandY1SxSbhQUiAFN4JABI/oL7bdQpHmMF6j233SE9LtosCshM29QZ2S6O/UYnjrGQSJhSjeC+XwlhTqShrxu1ftL9wNTZ90ADqdEh2lc8QHDDsSy88Ub6v/lN0i++mCMKpoLa2ETkuENQh58sNVt01QKTTBDNClob8EXxN+gQS8IU32/4l7/CGhsjepaMGgCUyqbnyV6FVI+f6IF9ZZ93zR1lvx8Mp2ivkkjovXcI864vEzzmGJTlebLCGM+y8/ctcM+nOGTzOdRdein9//VN8VbbOf4mRz9CsSJhZATbNJH+WdMbPAGhAni1oEwk9Gxxzz33YBgG73jHOzCM/PXN5/Nx0kkn8cADQuVUX1/P0qVL+cY3voFpmpx88smsXbsWWa7+Oj2Pfz7M/8qvQuhOsVjJRCboVUHOkLbHykqoJ8On+vBkV2CmFlY8mfY6r5uqrzRtmLnIrPagmExk7dGS1+0aEEXk4qbim7kbsTg6qcdvsiEigOKYLRqWTmeok/S+95Hufgsxf2mBFNZcRUKqpCe707+G5O5/ZxkfBCBQMEmayKYxw3/D23Qvilp+lVNTNCRbTCAnr57puYg82dkOP2ZyIWayixf6hV9EUJ5aCrcifDzp7jfRRClruyN9P4Gu7/Ny8reAkMS7IoTp+t8lSULVxlF8ffQmS83/CuG2sPjVym9Ix9W9jcTOK+hQTp/2deNZMTmzTV9Vx58xcRhR81ga/Y0lz+dUCpYG2OjaTl4YfEE8pEfJDp2IJ72+RAkDUO+szqWtKYgEwzVH87Dfqdtt7JyyYk/8JdTQdiYLPCIFioTCBAkXpiXOJdVZCS5sbQAwE8tZ2hRiw5IGfv2B4/jle4+l0VlBbQqIAnEoVf58t11FQoHxntveUB+cWomS23ZvnoCbXCzmiQSxLYWFq6bILKibXmXiFl3TeSQskM8i3Xsebf7yK3eTEXKJhAoUCR/461kEl1+Fx1tBP7EDt5c9pZde/7KGlUuy8HuUXCxhXM9vy3P9z/HFR77I9qTww3DJnKBPyyltkmVagsS4Cl7ndwx6/KS73wSAZYRyqqLC47rwntEeEteYDKWEk3uPcZVNHjXf2qCbOrbj+1DvL00GcdU3U7XTjZu9eJvv5ukRcY3SJHF9d5Nw3JX7yYQyQId2Atmh1xGSFpUdO5sjEqovOhRZQbLF/t47Wv7cefjgwwS6vo+v5ffTtn8VYmfiMQKL/5uDys9mfK1rCBqoQhGzz/gT/s5fsj3xSOmT7rXP488VsmZGBj0FqREOPlLH/q/8hGwqCO+8Cy78ee6tcqQBSXEMAMs48nsagnhCRi5ZYcpif9lp8Obr4cyv5h/zRbFt0cVgT24RKGjddJUHRWMHpy/2R3f52H5nK73/9YPSJy0dU5ewMjZIYjuDG45FWyDIDiU8vSLB09JMx79fQsu68TKpDeXbAnJEwgyKBKC0XaIAufhHxa5YjQAgO2111nj5Y9pyxpX8/inbM6aEo75QfOJcmJzcYGWcNk6HWJJ8Plbc+FmWnt2HnHEIhIQz35hEJKheh7SzrJxh5T8lJEm0Erxa/lTYslcJ+vqEUfXRRx+Nx+Mp+nPLLbcwODjo7AKJP//5z5xxxhlcc801rF+/nqamJi6//HImJuaTOf7VMa9IeBWiN9GPr+3X2EoYOG3a14YLzAqn6vMuxIq6FXgHP8TwWLryVR05jhJ6hQPpEWBNydPJrImkiJvs4lgXzw8/jCmJbdk6vJXueDfrW9azc0BIbCfLn8PyAoYnVtO0oKvo8axRSiQcG/gYv3h8H8tPWYFlaegJUWy4MX6FqPPVUWecRO+oVOISb0xyzfd6FGxbRpIs9gwPI6vOttZ3TLlbVELojORMxFyMZ/tR/HtI2jFgOXX+KMm9HwJgd91jADR5p5a2doUOQR+z0azSntuEOYDi30/KEsWBJEnCcFG3qJ9htVmRvFjARGb6KKysY85WmEk/E4JeN+Jt+lU5twDH9FdOJDjHaWYKIivntG5p2KbroD4mMuH1NjL957Cqs3xUYlNQTP6yVvl94ioSbMvDwWGdutYASSPJeGacqDdKyhQTw8nqkohfzW1LufMy52PgrDopsoSk5ItJI7E0d56sX1g8QW0LN7A5A2NllA4ANhK2reQUCSBIrbRuVaRIyBFwklUS5znZpK/QyLGrMZA7n6bCj1/5Ov4FLzPR96Yp89Qj1hHoI200+SvrOw05knXdnp5I0C2dpBlHVotXp2dCd2oX3ua7MYwYtn1G0TYPJcZRwy9iW1782uvxyF4yQLzAdPSloZe4ffvtBKwjgFU5wi/kVbAtL5KcJWGUiXp1V/adaEavR0WPr8Y+6AHsnOS9sE2p8Jq+OLqQ1IFL6QiXXkes+l/jk+L0JZewlENynhcmBhN6fuLX4C8tvDJSD8FlV/Ng0g+UGqUlzT60hod4YawH+Cg+OQyWaB+ybCtHJETKEAluNOZUbQIH1OsJrXiOp4Y/xJlUnirjYoX9CZ7elSG7qrwarDfRh+Lfj2TNbFzswqMaKL4+sumZ37Nl+GVk30H83hUVjx9Qg5CBVJljBCODmZWQ8OSJhKwspP/JYeI9dVj7nqbZNGHpJE8aXxTFY2GYCubYGJ6O4nvd4n9/DTx+HbQI40RPR/58LCISFBUOe1PRe21ZY8uv28CSWP7/7UNdEss/l86fG5LTUlgNkSAHfEB8ivhHA9uJf5R9+WLcnBDXsZlaG4BiNUUhXP+FSa0NC2+4HnN4GLVtmuuVN0y810tmxMT/zLME1q8reto2TeysE0mt2pUrBgDZ7wVSWPHRss+7RIJQJGTKfocp4aranM0pIRLSOqAgBcS+liQJpW0JStiEhChCiTutDW5aCIDiQdJ8KJqJmVUwBodQGypXQM7j/waNjWLh5je/+Q2LFpUnd10sWrSIn/zkJwBs27aNW2+9lU2bNpHNZrnuuuv+7ts6j38c5omEVyFG0sN4Yk9jmjPf9IJeNed07a72zgRXHlppIZewDxJY8FNezrQBbyt5PpU1kWRxg1oWE1JDWxnDtGzu2HEHv3zll1y88mJ29IsV9slEQqt6NFt3dbFmQ3Hfq4SKmWkmoOZXoT2qAkgYpsVoUne+h1z2u0S0CCvUd7FvoI/EJNM4d0XOXalVZRlsBSSLLQNO4oTtoc5ZsS4H0c87UhJVtt/4K4Gu23lx4kzghKJV277UPlBgYXjqi7K7Ajo5aQLyZmhu3zSIleC0bk3b2iC2t7TIKQc3AtM1masEbs/5ZHO+ych7JPjwVUhkaaqMpA0wYO1l63CMlfUri57PJZFYWq6dwLJNJrIT7Hf8Esq1NQC0hsQk2aA8kZCLS7U9ZE2LoCdM0kgylh2j1WzN7as6p9XFRaFHQjmlkOtj4CoSJEnCOPgeDGUISc6C5Z/SuHBhtAkGIWmWP9+tgx8kkTU57g0n5h5zj8FKUht8ig8JBRuTsUmrcna2HlPqpMFRhhQe29P5I7h4duAJ1FAPmYFx0rpV1qvAXXWuWFrueA0YMxAJiWz+N3b9AyrBcKYHreEhzORCMoZVdK3ZM34Af+cvsY0gmvrvucSVZIEiwY1+NDIxgIL4RxVML6gTJMoYq76U/C2+9pcYMs4HDhGr8GYQY/wIIK9EmEqR0BQKY0ysIUWZoiSwFY9nNNcOojkFg2nrDKUESWmbPiL+0pXRiNeP7BknY5c333WJSK9TffjUMGQhrk/w9Se+zsue3+FtOZyI/+iS9wZ9OrK3hz3jXqBUkWKQQlIyzKKzAYDl0cN4KruPvvHyhOeoox5SyhkbToGmYAwAk9SU5JiLH2//DMHF4yhGmSi9KZD3AClz3TbS7P5TE/rtO2j5zC6xHRkZksPYet6Isazs3htB8VoYaaWkQHTHBnKr476VKwls2EDysceQA9PvH0lRkBXR1WCN9Bc9Z2fzxn0ukbDguh8y8ac/0XvlVTMTCX4/EMdMlNkfpoHlEAmSY+Q2cvMtJP72N/HeGVobAGw1gJmWUZLjFP2SRnlFgtrQMHMR7I0wvs/H2K4gTY88VEokZPL7pGpFgnOOWvHy94Oc0sHnm0X8o9f5y0mcGJ2sSDABBaWQWAo51p0TvcLVtVxrA4AWQvFZmFkFc/if3HDxXwCu8WEqlb93nXHGGaiqys6dO3nTm9401VtLsGLFCj73uc9x22238cwz+Whtr9dbNP48/jUwTyS8CpHUxcVequDnCXlVsJyc6QoUCQAZp0CtVJEQdHquTMpPHFO6CbJg09c2H0J8xxXYRpjxlM4zfeIicmjDEfxoXLx/2WRFwhRS2Xb/CpK7/oM1i+tzj7ntAoZlc8f22/HEthFhahNId+zJEY0vjf2VwJIb2WWtBY7Eo0gYE4eAZLJvTEx8VKtu2kmhVw6StMTqdyGMXLHvOEfLEqosYVg2casbFFhZX2pi5sKS4yjBrfTrg0DxZFt3ephdl3XA6XM2ZpSte2QfGSChT38hN6w0yBD0VD6Z3p9+msDi/2GbuQw4asrX5YiEqhQJClrsSQ5qf+WunckpiQRsDZ9Hwza9SEqGFwdf5N49W0BqYEVLeVJucV0nyX3vITqFX8XZS86mu6+RLRkxOTpv4WUsaQrSHmrPpTfYtkTMVzx+xOfBiB+Cf7CTKy44q2Rcl0jwFBBCqtlOJiU+R5bECn85LGtogZ2QtctPHN3WmkJp9nFLG3hqzwgrW2cmJyVJwisHSVvjjGeLZYn64NmkdYsTL9wIFF9DpktscFHni9Gb7EFSkoyn9bJEwpC1GSWQQJbLuLKXQdQlEqa4PrlwV9pty4PfU+GKHBDxOueBnCWeMYqO23FndVXC8YxwJt6FrQoukRBPiGOsKSxeE/KqmNkmNMWba9kqRL/+Cp7o8yTtE5yxZTx1DyMpKfSRDTkVUKHRZ6H5ZTTXu19mdV9y7wHiNY2+VvSJ1fj9S9gyvAUAM9NCsMzvU+cX38OWsuiWXnQtAshOMstc5juZl3Y203T4Yn697WosWceYWF22tWFMeoHgkmt5eORQ4NSS5y3HPyNnYFsl2qPifT2j5a+BI06yhFwFkdDiEAnIaRJZs2wLlQs3kSRYxfa71+GyRIKej3/0OEZ3ZkbGHu9GT4jfTvJ6yxMJviiy5vSplyUSXBl8/lxp+fSnMYcG0ZaV97AohOyVsHQwh/qKHrcLWhtwWhvUhgZ8h60hdvFFaAtK03WKxnWKVitZ5je09JwiQXLSJvr/678AqH/Pe/AfeuiM273z3Z9F72ul6w1xiqj0SQkFVUEL5t5mjZeaC1rpgnYPxS7xYZgOkrs/4uUl5FZKjC0VkoIVeySIjVY0h0goaW1wfDQCBXsq7HhvuIaY5VIbALxhFrx2H/Lbb0E57JjKtmcefzesWSPUxtdeey3vfOc78Xg8rFy5kquuuorPfvaz7Nq1izPPPJO6ujr6+vp44oknCAaDXHnllbzwwgt85CMf4S1veQvLly9H0zTuv/9+XnjhBT71qU8VfcbNN9/MLbfcwpIlS/D5fLnPncc/L+aJhFchMjlJ/8w3rFCVioRfb/s1Utc38I6vwaueUtH2hDQxvulM4iYjWaBIaPDX4ZeaSdomPeOjbB0R5oIxaQWwjcaQl+ikNgQhzbUZSRavyhlWcR8vwJ7Mg/g6/squ5OvYPXE7vrYDBCambhPwahkkzzCjqeKxE8YYincAnVHAWRHuvRTDshlZLJz+fVL95OGK4FfCjFiUrNrm3dbz39O3+L+w5QTpkeOQ5GUc1T71hGYgu5PAwhvoNhcAxWZnObd/uVTOPJNsXZNLi5xyMBC/ZUirwrRHyqL4ukma00/AD286HHn0DIx4Q8XO+V5VnvYYd7+PbWkc0hphuxlCUjL89KWf8bL1KL72NRy/9KSyY7eEwpiJFYynpLKriW9c/kZu+0s7Vkb0AnZ6TuQNS8XxtmtUrABi+Qj7iidmYZ+KbURJjNWzIFw6MW5OvY+eAyOcePSRucc8qgyOomNhfWDKPvDVLZ0Y8ZXYRohU1iiJcTUneXQAfPeSdZiWPWPrgQuvHCJtjROftL+nSw2pRJGQMylVkkykdVoipQXVHuV7BBbpZKwTS54rh+WxFST3vZumwPTna87o0/RVldoQdK5/kqwzltJzXhUAE1mn/9jxS/EpPrDzLTEAB+MHATCyMTRFptX5zkGvSvrAO2mI+Tmi+YiSz3XVR26igqbK+FrvAsDKtOZMD8O+YnWSi4jfg+Lfg+k7wNO9bRzZKj5DRFY6RIJTKKyMriN9wKa+q56XBh8Sn5FuL7ufGv150i2RTRCbpNoy7Ex+XwBtgSWYcZtdyT+LSMvUEszk0rJEQr0/CqOQNuMlz0E+frQatVQhMp7taI33snV8NZQhoMeyo4BoW6sU9QHHU0ROM54qTSVyYdt2zki0mmtryCO2JVvOTNRIYxmO8a7jA2BbEnb/XjJjYv96ly4tb2Tni9Bx/AiSDMpJJxRvazbLrm89jqQ3segkkW1kWxZaZwd2awtKtHyrWCEUn4oRNzBHij157IxT2MoUXW/9aw7Dv2bmlCDZMYW0UmUiCU0dh6NFdq7JcjCIFY8TOfuskvaNsuNHI9A3gBmfRFTk2gLy578xNMTgdf+D2txE43vfO/WgkoTstCCZ46MlT7uqAUnziBb3ahQJjjqkbKsHIAf8eJcvR2tvzT9YKZHgvE7RhPKghEhwWhmVQhWJFgQtDNkJiPcVEAmTkrW8IbSQCUEJ/lmNFv+FsHHjRj796U/z05/+lB/96EdYlsUDDzzApz/9aVavXs21117LTTfdRCaTobW1laOPPpoPfOADALS2trJ06VJ+8IMfsH//fiRJYsmSJXzzm9/kox/NGzZfeeWV9PT08N73vpeJiQkWLVrEnj17/kHfeB5zhXki4VWItHPDkitRJPgKiITJ5kBlMJ6eQFJSSJKBr0LX/JCjSLAonyWcyOhCjg0EPAGifg/JrMnTfc9i2RYdoQ6Gx8U2Lm0qLTRlbZjQys/xix6Vj/NU7nG3aFEKnF/HzL14IpsZ1BcykBUrfQ3aQqbCQ4kvElp2kL2JzwP51olyxb5HkTEsMxcZGFKnlyueWP9ern/oVJrWryp63LR1kPL97wCSkkBSkhjjh2NlW1jbNnVrQ36FtXTFJef2r5QSCTNF+2mymJwkZ1AkmI5kOeytfFXOXbV1i4ipcHjT4ehDp2JkTXwVGqYVEgnlVDd5s0UPq9sjbOsNgjbEYz2PAqCkD2HtgljZsV1vDcOyiWfKx2IWrugWRku6aQy2GSiJf3T7vxNZE8O0Sgp4YaQnFxkiqnJlRfniumaU/vcSzxgcHE0XKQFs28bTcgseJUVvciUtEbFyKElSESE3E/xKiDGDon5527ZzxoLutnqqbG0oJBLGUqXyctu2c0Z/bgE/E5qCdZiJlWSZITFEdxNDKjf6hHxBjKSXeK1MZBzZsPPZPlVEt+bScYDuhLhO2XodnXX+XESru9qfmMJXxHRVK851pJC08USfyhMJU7Q2hL0qntgzeGJP8MC+9hyRYFh2TpHgRkqqzjbplsXWYUH+Wun2nA9DIaJ+H7blQZJ14nq8hEhw4zvd/eZTFSR1lN0ZYTaZ7D8VkMoSCY0BMVa5yEoAG3Gf8c9SkTBovIS36c/0lCtCyRtCeqTKiQTXUwQlzWgyWxT7WQjd0rER5HjIW/n2hzSxLXqZVhI7k8ytwCuNjUiKhG3amH17yYyJ3867fAr1gBYSBu+2BXocCvwwbF0nO5ACPLm0hsz2Hew+7zyUhgZWPPzQjNst+1TAwBotlq27ioRCEc7o7XeQ3vwi4TPOJHjs9KvTOSIhXeY3tAwsq7i1wVUw2MmZU10A1Lo6MoCZNIQqw/UTKGNUqPf0MvLzn6O2tExPJABywAvYWOOl8zRXkeAaJ1blkeDuj3IKDSB8yimETzlFmB5+44cl32FaOMoIxWMgiITR/HO2jZV1IkInJ1GEW2BoQrQ3TNXa4KoAJ8dszuMfhquvvpqrr7665PHzzjuP8847b8r3NTc3c8MNN8w4/qJFi7jnnntq2sZ5vPown9rwKkSqGiLBq2IbEaRsW9mVz8lw3cRt21Ox87VbUNqSkXObL0RaN5nY9nk6418m5o2hRp/A1/Zr7tgtHKKPbDmSnU5iQzn5c4M/iiSbGGTImnnVw7bxpwks+Rb75Otzj6mS2Cdj5l5sLCwjQFMZJ38XflXcrCYXoLqz2icXzGZcv4ShtGhtqPdOYtAnoS3Yim3ESGUnFYm59oOCwsZZsUQyaAx5p10RbQ6I72NK487qYR7lFAkBR+LcWCYXvRABJYKlR5GZfhIbGf0Iid0fYmmkNJN6yvd43faX6YkE27Zz3g+VElnaDIqENy2/kOTe95EdPZbVbREso2BCbEusbzq+qOAthM+j4I+9hKf+L2wZ3Fvy/K6xXQxnu8EhcLYO7uYv+//C1uGtpM00ih0QRIK3+PcM+1SQDDyxx/jesz8Uxo8FcEkyT0H7gVZQ6E8XoyhJUs7zYf9w8eTYsGyU0DY84VdyBd1scHb7R0js/ig+I28KZ1o2/gU/Ibj0a7wy8hyQd5+XJVhShiScjDqfMI6U1ERJuxFAxsxvc6VEQiDnzzG90WeOaDX9OR+SSuDGMkpytsQEMO4oEmRJnOsN2gL0sXU0qIJcTOiJ3LXH0uvoLPDqcImAxBQxipZzHXFNMwtJAtvyEXC+QyH5VfgaWZbw2GJ/H5jIx5MZZp5IcFsb3PNDN00+feR/kdh1OUr60LLJBUGvim2JfeKSM4XIKRJcQ0slQXDJf2Njsr7pKMyk8D6IlCHtWoJCVaJP4VliOYqE0CyJhAUR0TqUNEdKrq2QJxK0KhQJheakA4mpi6JClUpYq5ykXd94AhNbrqIl+e8lzxXK2ZVQiPbzO1lw0hCKNZxXJCyf4jouSQXF3CQvlIKoN8mJKXX9DMyhIcx4ecVIIZSAuB8N3/UQZjz/e3oawix7Qx+L354n6hMPPcTIr24i+fhj2PrU0bAAckioIay0XvobmjqBBh3/glDOa0F2EgUm7ruv6HtNud31zv03KxcXue7cpMCosKLEBnfcwNReBtqCBSz93z+y6MsfdD6j8uO74YLTWPnmblpPLd+el4OrqJDVojjOaeFceyILUnR+77vUv/3t+ecsEy2iE1uWIHTC8cXvcw1eR/eBm8YVKvVIACAz87E0j3nM49WLeSLhVYiM05soSzO3NjSENMxUF/Fd/8am464q+xrLtnKr7AnXaM/yVOyREPbmJ/SFE30XKd0CM0hYbUaRFUzfFjyxp9k+/jwA65vXs7O/fGIDCKmsbYsJa2HBnzAmULz96FJ+RcNVEIyZouizMi2s6YxNue1BVUzy4nrxBC+nSCjcxx3fIrTq01iJlSR2/gdHN5w95bgwtbeDabuO/PmxXb8LJbiTjvrSCWwhltQ77s9yNifHzsEWCpRC1/mPn76Sd5/QxYYl0ysolvhOI7Hj0xwfm97tfCwexEovpCM68+TIhauimEq14mLb8C7QekHO5GJFZ4JXVbCtqYmEiNqMmVyCnW3ikLYI6YNvxzN6AQBmahEnLV1c8p5CaA1/xdfyR14ceLnkuXf88R2MNXwJWRN9rVsTD/KR+z/CZx/6LMe0HsOixLdI7vkgIW/xuepRZPyqgq/tTn7y0nX5tAoHo77f4Wv/FfsSW3OPFaoWJvuITMaCOj9IOnuGJ/lzmDZSbrV5Fr28DhZHVmClO8hk85Nmw7KRPGPI2iggjuFYQOM/z1zFVecdliuMp4O7ei0pCcbLxAcWruRX2kfu9YAn+iRm6K+k9amPv4AnQJt2GGZ6QcUkFhQkPEh6CZGQcIgE1SESFgXWku6+iC6PiEF1r7uaFALLx8L6/Hkb9KpoDfejLfoGN27+OZNhOu0H7nWk8Hqt2KGcsqFQDTP5mh6QG4u2A4TqwCUSXK+IPYnNhFZ9hoPBL7GrP4WVaWdpQyvlIJKCxG8z+biGfAucqxrIMJRL9blw2WXOc0pZM822sLjm2FKqLGmdV6vMLit9cZ0ocGx5gvEyihhVEh4rXmWGoqwAATWAYsUwM00MTSEvh8IoWYmQVvmK84K6CK9b2cmxXaWtO26BLnkUJI+HyOHNhNoyyOkebBskRZrWzyA5HKb3qSjDt9xW9HhRwa05RFpBsoJVQaSbb5G4H+kDo8jB/O8lYeIJmmgF54I79uAPfsjAD8rEOhZAicaIdiWpO26hcHMshKWz8OQhuj50JGq92F+2c60a/unPsM3pzYAhTwoYGbmYYMmZLRYQCU6MaFkPiklwiQ0rXnqMSJqG1tWFt8O551ajSIg2IasgTYrPLkG1RouQ+67eUIrwKafgXVrg7WRmCTZnaTtqjLoL31L8PtdwsW+zs5EqTDau9rpEwrwiYR7z+GfGPJHwKoRbrCsVeCQ0BL3IElg2DCXKexhcv/l6TvvNafzi5V/kjPZkvLmJ6ExwV5shH7VXiJTT1+2uDAaV4gnPupZ17HAUCeVWWiN+b1npulFONeCY0+mI8axMCycsm1qRENbEhDBhFBegeq61oaD9QAJJshlJWFjZZhZFp4+fGzV3423+A/v0Pxc9btmlqgGXSPC1/AEr8uC043bVx3IT9Z3D3UXPtehvI77ti5zQnJeZnbyymS++4dApV91dVJKsoBekYTTMoHAoRMwvfldbmp5IuPqJLxNc8m3U0JaKizmvZ/rWhgmnIPV7FJY0islaSn0RAGNi9bTHB4AmCbKpJ17qHJ2b/FtOq8Lg0YS1MFtHtnLTlpuc1WQ5Z3xXiLDPh22KfTg6Kaox49mCJ/oCcSNvvOUpUiRMv2K5U/kvwqs+zxO9xdnyumXh9r/7Ko34KoOgI2lPFiSH6KaFJBklY39w41LetmH6aCgX9V5xbZBkvawiIR+3qVRsiBjSNLxtt+NrvZv+RPksdYDj2o/jteHPk+l7A74qPBJcib4km4wmi+XlCV383yUScueYs9+WxpbyxKVPcKRnEyC8L1wENQVJSSJ7B+meKDakg/x1xE1U8KoymYFTsbL1+JOn515X7JFQ/L1CTuLNQCo/ftYwkCRRXOXUDoqKJFlYGGw+KK6Vh7WX74MPelWsdDtmclHOG6IQ5uhrSOz8Dy5c9g4AFoSWYsRX0GSdwoKA8IYp19YA0B7Jk6GT1Q6mZWOmOjGTC2nwx8q+fyZ0RITKTFIn6B4rlYK/Z+nXiG+7khiVGX2CUAgdwTdJ7vo4hjE1wVGYADO5FWo6HNYR5fp3Hc1nz15d8pzlKANkd386bYiMd9N5wggrv3QSoROn9hoxCTCyI8jIb+8tejxHJEg2kuNHUWgfI0+WspdB43nH0HXqAK1vOrTYe8aNUSwk2gvjH2cYW47EaN8wSus5i0u9H9yxC+7rWHniXvbOfE8ritEsp0goJBJGRsVDdbEZx3WJhLJpEy7K+DDMCPdcmIJIGPjBD9h51tkM33JH9WPnrvM2TCb2CtSjJeaQruFir7gPE2wqPoAAvI5ycPJiyTzmMY9/KswTCa9CLA0cR3zbZ1kufWDG1yqylJO094+XL+JeGHgBgG8/8212jm0HQC0XCTYF/JpKuud81OGLCailN/me5EG8rXcwqP4BgJAqioUW70q+fMKX6QwuYu+QYOHLtTZE/Co4UXmuEz6A4dy4Cls8Cl3uATSrnTUdUxs/RR0iIWVMViSICYciFRAJiEnJuBPF1Biefh9NmN1oDX9lRHqq6HG/vp5M/2ksi+SNo+QCUmhBuGvacX0eBckS32nr0MGi59zYymr63V24UuikPrW889meLWhNf0SLPUtsisl+OdQ7RAJytqxk2MW4OzGzfEXGcNNBeCSI46OcIuHefffgqXuEQHCEWMBDyKejBIURYthcy8opEhtcBJzVx4FEsZu2ZVt5BY5TMPWPevnIEf8GwHef/S7juuj/LGewFvF7sB3zyckRkPak1Waozm8g7JB73RPFRmZmgWzd76liwjgJfZmtaA0PMmI/m3vMmIOxL1h+Aaf6fkq6+6KyK8I53wkrUHH8o19TwHJWNFPT+8SkDXf7KycSwlqY1/i/TnzHJxlPFU+mW7RVpHsuoF0+xRlXBklnoqAA8at+BkbE77mgLn/9VBUZxWkzGi8j77VwiQTHI0FRyA6eSmLnJwmpsdzrpop/BKjTROE8kunPnZemBROvfIX41i/R4BcroC4xZCmD3N39bZTAdg7rLH9dDXgUMj2XkNz7QRaFSgvubNaHlW2mLSSKiZDmJbX/PTRmL8qRlFMRCY1BP7bp/JbJ4nMma1ikuy8hufdDrJgm9WY6NDptcJI6QfdoaUGXdVasKz32XLhtGuMpnWTW4FO3vcAfXuwpek1YC9PJG8kObizrPTEbyIpJZFGS8BFdAKR6s4zu8pM6IM4DKViPpE79Wf5F4l6dPdBX1K5gO/cISSZXeEq+vEJI8s/cdiQFG/E36oSXeNB7ekg88QTZvXvJ9vTT92yEoSfz50gRkTBD/GNOEl+uAHUWCIqSFSarFmZAjkiYrEjItTbkr33JJ58UD1XQ2uBb3MTCkwdpv6zU5Dq9bRv9//1tRu935hJVtDakD47S/ViM/ofLExRGbx/ZXbswx8dKtn9GuLGwWYmxu37L6B135p8zdYyMhJGWsc1J93xXkVBIJExGrrWhstjyecxjHq9OzBMJr0LYtoJthgkWTBanQ1NEI7D4v3nfX85hIDlQ8vxgShQbGTPDS8PPAaDIld9MfB4FfXQD+uhRBDylRMJAshet7nEGbWFuV+d1JmuWl/OWnceBkRS6aeP3KLSVcWkP+zy5QrFw5VY3xaSgUJGgTmK+VzeuLNvH68KVUmes4kmHQgArW09AyU+W3ZQMX9uv0RrvI+af/vRoCIj3Tu7n1TJryA6dwrJoPpmhkEiYLvrRhU8S2717uHgymuutnwWRkJT2EFj0Ax4c/uaUr3mm9yW8jX/BX/dMxYoVgDp/GMsIYetREtmpVQmueZ8mBaeN1iyEpsrYRph0z/lsOm5TCVHx+z2/wdf6O3zBXiRJoqF5V07ef/yiVTN+j6AqfsfhScV+YRuPR/bmTO2Oqn89RzQdQcpIkWq9EjX8QlkiQUjAS49rANt2iYTS6L7GkEZshgSOBn992W3OmiaSXOzIPxvsir+At/l/iSt5IkFI4sU56Z1l24RH8RBzeqfLxRK6hIttBCtuvZIkCWxxXRlJTS2TtWyLlGMOVo3ZoiIrdIYWY+v1Je0YfqkNffQY2rX1AIxaOwiv+jyPZj5X9DrXy2JBffH10yM7/dtliqKu9GeZ2LqJFVFhEltY3Ba2kUSm8EgAaPSJCbxuZ/JeDTaAgkfy5s7BQoXJkPwQsq+Xw9rLy/tlWcopVib7O9i2TdYhO91tcZVHE2mD7/x5e9n9kPsufg/Z4ZPI9J+OaRTfozJGnsSp9NiYjAafUDxIssHuMtn1cSfOrppUDyiI2kzp3PTEfm5+cj/fvm9b0Wtivhj1+llkh16XU+/VCi0q0XHcKG3vEQqV0Sf76HmijvhB5z47g3JDbWjAEzTAtkm/+GL+CTc5SrJzhafa0EDL5z5H25e/hKxVoBZyvH5IDDL0ox+z7x3vZPTOO9H7hxjeGmL0hfJEglIBkWCZYIyMYmeLVZj6wCjbbm9lx1f/mnssdvFF4jMqUCMAeFesILLSR6A5U6xIKNPaMHGvUHJU0tqg1tUTbMniayrdd5lt2xn6n/9h7G/Ob1BFsW8mDMb2BIjvl0pVA4DlJELI7jWvimhJtw3CzMh0f+pz9H35ywUfnKXv6Sjb72xl5Oabi9/nKhKcONWyRELOn2NekTCPefwzYz614VWIbK5YrGyy1BL2s8ecIG4kGcuM0RQovmi7RIIqqxiWgZlux0+s4u1xJ4JpvbwkPq6LQtrjpAI0+BohAQlTFAU7B8TzS5qCZYu6iM+T74EvYKdd00KlTGuDkVhGdvBkTj153bTb7kpgs3bxzWqx52we23k4Ry/Jm8m5ygdZTaA1PEhz+CvTjt0cEKsQljTZ8M6ZSBf8fiox3CnP2paZTQwXqmfwfPcagl3FpMOAdgv+hQfYHfcCLTOOUwhVsVAC+xgx01O+5uCEE30pV+6PANASqiOxXRRPWUNmKsFLwiESvHLlZmNeVQFbQx/dwKkLzywhINzUhoDTy74seCwPjb6IMbaOE8+cvq0BIOqtY38Kxia3Hxh5IiHiC9AU8vNKzzgHR9J84bgvcMHvhA+D7B0or0jwebBTUxAJObO7/KTOJYeWVJB+4EYdTm7ZyZr5ws5TA5EQ8wlyxSB/bAv/BWeVXK5iMjoJrjlgudaGrkgX1sD5ZHW1RKY/HWTbiw2MpqaelF5898XsSB1A8b8Vv2fmPPlCRBwp+mQVRSqbb6sBCDu9+65PwHXPX8eBiW6GjXZgQUkB7VX8pIB4mUhWw1TB8uWOkSIioWBFu1AmP5lIiPmDWKMhZDVOb7KXmC9WkIaTP498k/umMx0c0ja1T0DIqxLPGMQnEQmGZaOEn0XWBtg93klzeG1u37zSI47VsFflM2etKhnT3SZ/4kzGUjqyXXweZAwr95pKY0wnw6f6UAlgkGTPaC+QPw4Oxg9y/a6P4evw0xz+dFXjbtF/RmDxs2wZfzt7XhJtPsNlWg0TmeI2wJoxSQqvRMTxNfhSmImDPuoCB6h77TTv90bwN+joCZXU888TPO448bgkoYZAls2invr6t11a+bYFnDaV5DBKg7hemUPD2M5hJRUcq5KWv1bNqEjwhtj1x2b0+A4WHf0igSPzEbpWOo2ZlbGT+WuL5kQ+FvX3T4Pghg0E37QQdu2CdBlFQkEh7l+3DmN4iNApFURpu1L+MivwbiSm7Lb7VeFjINeJ+Z6lS6K9YVIMrp12iAT3mKtGkSArgISsiXPPSiSwdV0Yb5rZXPRoaWrDJH+VUBnjau80ypJ5zGMe/zSYVyS8CrEr/gzelt8yaD9W0eubw16YwozOtu0ckXDz2Tfzo9c8SHL35YTN9RVvj09VkH37sf1b6E8MljyfcCbBmixuJk3OBGLC2k/aSLOjf+rEBhArt2ZyEebEoTnpKeRbGwrbD45pOJuJLVeR2vduzORSNq7onHbbD6lfSXbkWPT4iqLHdWcyXTghLWyhsI3ojK0NzUHXGCxZtEqephfZ203WzhcHzcYZAFh6hOXNMxe3h8WOwxg7imQqVvR4VtmHGtxRorCoBK4cfrqIxt6E6KV221MqhSJLuVXCqdzzLdsi4ZBO1REJ+d+ocFXSRdoUEyXXgG1xQx2ZnjdjJpfO6I8AUO8kCUzoo5PGzffrR31azihv33CS5XXL+Y/1n8TK1mOMrynb8ywUCeJ7jrorMzmUqgbcY3Gq86QQraEGZxuLkz3Ser54KfToqBb1fkEkmFIxkeC2NsyWpEjqSR4euxb/gp8wmiw9DttCbWSGxbFfjbzcTSIZTU99XvQl+9CZwLa8VbU2AOzX/4a3+W4OJrcXPd6T2oMS3IapCCWYe465pqP37LmH3+68A0mNE/V7SiT9Puea6Z4XhXDbmFyCyVukSMhvf1Frw6QCO+r3kD54MadGv0JXpAuAkfQovvabUFtuyb1ush/F4siy6VUbsQcILruan2+9rujhrGHhiTyPt+l+do+LfTXZj+JbFx0xLVnmRrKOJIuJpngmRWjFlfiXfqXs/qoU57ZsIr7jE8Tjxa0bA8kBBvUdKL4DNIerS4XIMITi6+XF3v1s6xPH4GiyOFVgPDvOuLkXSR2pyJi0EljpJLYJOCSqEsnv18yoB8uc4XN8UfwN4pqRev6F3MPaokUsvwSWnjVQlFJQFdyCNjmE2iCuV8bwUE5FIBWo6qrxSEALonrFuWEMTYqWzDhG1QXHrjnh+EiEp29xK0K5ot8hEkae7KXv69eQeu45um76FcvuuQf/oRUQk94oY3v8DP7xeYyRYiWZlXIiMd1zvKr4R8HMWIYEqVKPGDcWUvI4+7sas0VJAtWL4skfx6YbX2nqgrygjIokNIlICJa5D+f28bzZ4jzm8c+MeSLhVYju1Da0+kcZpdRFvhyaI76chLqcGd39b7mfO869g6WxpblVnUqjH0HIgH2tdxJYeAPP9b9Y8nzKMWD0KmIyszCSL+5VWc1FP07V9x3xe8gOvY7kgbdzVHM+RkhGw8rG8Mr5lTG/xwu2Big0h70zFl3Hth9FpveNJIeOyk3MoXSSDiAXEBayGZ1xH7WEHeM4JU0ik5/0joduIrjkO2wdy3snGKpY6bezzbSWae+YjNao2Je9Y8XqAbdv2luNPNHB5NXSchhMi4Io6pk+AaIcAjOYOU5kJ3I56n6l8ng1t4CSffu4b++fc8SYi4xT8AedtpuFDeLvBfX+KSXUhWhwJrwps5iEyyUI2KIAdPvbXZn62YveQmLnJ0FvLluYCo8E8Z6RTHmPhMLf0S0CZ/JHAGgPi4mZrcSL5Paq7GPila/Crq8VJXtUiwaHSLClJJZjVqZbwoSUbHPOgLBaeBUv2xJ/Qw1tL1FpAFiWjeF8XjVEgjqN1wCIlJZ820QYbxWpDQA7Eg+hNTzEQHZX0eMvT9xLYOH1HDAeBCDiROVZiMSVnaM7xf9TnUVGiy78zjGbLFMYD3pvxtt6GylH2VW4PwIFhWih2eLklqeI34OZXIaqL8rFWMazCTzR5yH4XMF25IsLS4+xpm16o1mfqiF7xjkY31f0eNawQHYiGp34zsJz46OvW8Zpq6dXUoUDOrK3m53D+4sej2dTSEoKSR2vSRFzRMsabL2RvrFiwtO9d9pmkOZIdR4gIY84ZweThR4/NomCa+GTvU8yEP0q/o6b5kyRMPJYP1t+3U73/9wNgBotLpa9y2dYhfdF8LlEwgsvFLeNua1dVfTrFyGnSBhCqStQJDitb4VGifVvfWvu3zN7JIRR/WK/Gn39RU9ZLklRcMylX3nZ+fuVijfdVsMYablsa8PE5j6Gb7iBzI4dFY8HgDfMwAthBv53J/re4qjhnGrAPZWr2Ocu8WIZclnDRSvtqh1moUgAUDQkGeSwYxY55nyGmRXkBeUUCZPO8Wk9EuYVCfOYxz8z5omEVyF0xwjQU0H8IwhFgutqP1mRIEkSMV+MZXXLUGU1155QzUTaq8rYjtnceKZUgpt0FAl+xVEkBKPEd36czomvVEQkBDUFV2Vb2De9zH8KiZ2fYn3w3bnHVFnGE3sCb/MfWLNkfMY++8KV4sJ+3h3Z2wh0fZdt8Qdzj/nthfnvLM28It8aiuX+3RPPG/XZbrFfcMPWFbHSH5DapvV0cFEXNlCC29g6/kTR4/mxq59IR7xukZOZ0hBxLCNWeJr8ZaSIM6H5FwS6vsvW4W1ln+5PikmfbQTwVZEDL0kSmiLja/0tX3jsCl4eKibYspaYKIWd73fGoa2s6YjykZOnjj0rxKF1a0juew9N6XcUPR7SQhzX8CayIxuI+j05gmKfQyRMOMdT0KuWPQ7DPhV95Fg2Rr7IJasumfSlXFO3/PF57tp2VrSEOH2GQgugJZg3jRuK51f2DdMCJFTFU7EHRTk0BWJifCVNyrlmGKZNcvflaL2fosFfPdEEwm8goIhipxyR8OLgyyj+3UhKvDoiQXKvf+UnpUOpIREDZ8vYZrBqRULMK1QrCaN4op51ii23SI/5nAm1ZPFs/7PY2ETUZmwzzIL6UmInqEawsnUlSTcAKe1JtLonMXCSIWQpZ3weKmhtaI/6OXllExcdtaDkN3cVEIWxlWnD/Xd+HwS1/LZZ6VbWdEwffxhSRGEwmC72cMmaFpIT0Rhw3P6XNYc4bkkDFx21gI+dWqwMK4d08I8El3yHPx+8s+jx8YyTsmBLRWk71aLNIWl7JqU2uGSfbQaEyq8KRDRxTEtKMfE7UtDekI9/9MyhIsFZgXfMD5Vo8e/mXTlD+oS/Dl+dDoqEpGmYo6P554xSKX9VcIkEM4PqtFwYw0PYuuO/UBhnGotR/+53EznnHNSmMkVnIbyhPJHQX5x2klM7FJwfkTPOQI5Gaf6P/6hos82JCbZ89kG239mKFS8ggB1Fgun8pkp9lddAXwTFV15JYaUdckV1zt8qin23iLctCTtR6vthpcT9SlbtqscGcr+/EhbzN3O0lEgoUSR4IzmVDADBcq0NrkfCvNniPObxz4x5j4RXIXRL3KjUClddComEcoqEQriKBF8VigRZlpBtcfOZKEMkpE2xmuZ3Eh2ifg92tolEMoBt2zO2NkiSRNjnYSyVZTiRoMVZsdfL9PJ2p7fha7sdgNbGmdszVFnC582QsRJMpI2ciV3S7kPxHyRj51cc2u3z6BkeRqt/hKAysyReUzSwvCBn6IuPsLxRyPlyxX6hbN1ROzR5F5YOVAam0ktg4fUcNBqA9+UeLzd2pYg6q6VIFrql52LlChE3BSHSEqzOfwHA9vSgqL0lbuu5z/dGObP9Xfz2+YP4AtVxmF5VxpjiGNetlDO+OP5aIj7u+ujUkWeTsSDWhJlYQTJRfHw2+hs5KvJ2/jSwhWiHJ6du2D8iPs8lpsr5I4DwSLCyzfiMTlqDxVLP5M5PYmGy7Pz8iuGFRy/gwqMXVLTNXdEuPNmVZBMtDCWyLHHm3vlzpjaO2DUSleQUiaxB0KvWlBhSiLAWJZkaZ0IvPU5+8uKPCXTdR7r3XDTlLWXeXR5tnMUL+9bTterIss+7KhbZDgNyVWaLAI0OcZIyJxEJligA/M7kPObLT6if6BUkYERaxkHKGwy2aKt4ZvN/8obDSqXR9qQYT5dQyxhWUSEqyxI3vPuYstsd9XuQtAF2ZZ/hrp09vGHpG8i6EXl2foyoN4w+eiSe2NOY6Q4OmyYJByCqiuvDSLZ4RVgoErLOdovruEeRuel9G6YdrxAxbwN9WRhKFxdF8axbpNdGko2YW9Ea/0Sv3oFtb8yNlVckBKpubYj6RFEkyWmWNYcYT+n0T2QYS+m4Z3TOvNXyzJkiwXTUSHJIHHeFpn+yZqF2Lpl+gEADsgLLP9KF+sE/5B5OvfQSvXf70EIKHf8+S0WCFhQr60YaJSD2sTk0jO20X0mT5iAt//nJisdVA+JapPdNIhJyrQ35Y9t/+OGseOzRio8ZORTCzdQ2R4bzq20ukRB35mcN1bX/4S1QUgwUq+ryioTqi/1CBYc1MsDkI0ttasJqH0P2O/ukWmIoRyQE0QFzbFQ8bupTeyRIkvBJGNkt/l/WbHHeI2Ee8/hXwLwi4VWIrHPDmhx1OBVEa0N5RcJTvU/xlce+wt27hPRxNooEEG0GAIlsKZGQsVyzuzyRANA/keZLd7/CRNpAlmBRw9Qyc190M6GVn+OLT+RXDUzHtFAtIBLiRj6V4tRlR8y43ePZcTxLvkho2TWMFGTAm05Gu2eSa76kislkTJuZSAAIDv078e3/SUDK3yjdYr/QCX2xej6J3R9mXez1FY27olEYRJnyGGZBS4YtlY5dKaIFRY5rUFgI27ZJW6K4WxCpnkhQJZdsKt+/3Bxo5sSmi8kOnlL1irDXI+cNOQuOcd3SsZyCq7CIqwb1QbEvR8qYo7nmepNbG2zbJp6eiUgQj09Mcvq3LBvL8hQZ6VWLRZFFLDb+g0z/WQxO5BUJQ6lBfB2/xKy/eZp3z4yIs1okKRnizmqZ23Kg1khSxDRndV8vXYnKrwoHq0omaVBXYCZW4qH85H4gJa4bsim+V7Wu/E1BJybPnmRuaRUXzRGfH9sW++fxnscBUHRhvlcY/ejCJQQmmxYCuYQMX0FChtvmU+iRMB0ifg+Kt4c+z638ZttvAEg79xepoORQZQlJEdd2K9PO6ikSG1zU+8T1IWmOFV1LMoaVM+ScbftLk+P2P5opjmNNZp1eb3v23h8A+5Iv4W26HwIvFRkiDqfyioSWKlsb6nx5RcLFRy+gziGsRwt8HpK62H7b9hSZZdYCy1HwySHx+UpBDKE3oiMFZih2HdWASjFBZo2OkR72kBnzVL+C7UKS8uP7xDXaisexkq4fQEH7wcsv0/eNbzBy8y2l40yGFsKTa20oJhKsrKN20IqPkWqIJ0mSUILi2DULvQyMLLYNxoTYfqWhSkWCN1zg7VBMJOQVCdUTCZLHk5vJW2OlqV0L/+d/WHb/nwksaa56bPF6h0gIOa2RZVobyiZtFBouhqZrbZj3SJiHwJ49e5AkiRtvvDH32KZNm2ZFHP/qV7/i29/+dtnnJEli06ZNs9vIGvDII4+wadMmRguVX3OId73rXXR1df1dxp4O80TCqxDu5FSr0BSnOezF0uuxMq1EtOIJ4ObBzdy89WYeOvgQMDtFAoAiiZtJOXfxWOYc4js+yevaLgSgMeRFliCtW1z/sGCkFzcGp10FDHgCSLLJREGRuCX5RwJd32N7Or9SYst5MuDYzhlkm+R7VwH6CtoPXCJBK1jZ9ygSskfcJBsrlPZHlQXYRh0FyuGSlUSAuoAfK72Apc3TT9BdHNIsiARJNtg3VrgyV+r2XymiPh+WEUAyI7n2mcloj28isftDLI5N3yNdDqrk9KlnpzZCy+jVx++B8PRw/QYKkz1kZNZ7Pk1y/ztyBoHVoj6ooUafJu67l9FUfkKd1JN0J7pBThLxe+isE0RGPGMwktRzxd9UMuWI34OkxNmd/RM3b8kX9npBrnktq/uNIXEMDBYUQ+P6BJ7Ii5j+Ui+TahDVonj6P0hi90dJ6WJyO5waJrj0GySavjZla0wlcM0tU1apemrEMaVU7VBVkwe3sJ7K6NMlEmyXSKjy+Gt1WkkMKY5p5b+74SgSgk6rTkBTMMbXYIyt5ZVh0ZMdHxPncjmPBJeESqQN4gUrc7Ztg+T4iRQYIWrOdbtSaXzU78EyxHnRkxBtCFmjlEjwqDKpA+9kYusmFvnXEZih0K33RbFNb9G4YuxSRUK1aHVWL93UHxcJ3en1pjYiocUZX1Lj9BR40PS5snAzSEOoumKrJSSOaVlJc8H6zgLDyPy5mVPzWZ6qiaypYDkpEC6RoDY3owYc1VrMyhdrU6HAxwDInde2u2AgMXsiAXKGi7KUpvHyj9K66YtE1naw5PX9tLzx8NzLMjt2MPyT6xm7+66Zx9QKWhv6eouekj3gq8/iba9SLTAJSlhc683RQrPFDLYhYTvXGLW+ys/wRVH9DpEwWEwkNLz3vXTd9hvq1ju/RxX+NpIksfzTx7PyzT2ovvLXP7H9zrE4y9aGhgvPpPN73yW4wVEXWTrRrhSRVVr5+MtQwWJEWUWCa7Y4r0iYx9S47LLLePTRR6t+33REwqOPPspll11W45ZVj0ceeYQrr7zy70YkfP7zn+eOO+74u4w9HeZbG16FiOui4K20D7kp7EUffi368Gs5662nFj3nTqAbfWIinJmlIkGVfJhAIlu6kq3rHmy9PpfWUBfUuPbidTy/fxQQCxNnrWmbdvywJ8ogMKHni4u4OYjiP0DKyhMAC+ryk9OAZ2YjPUVWkG0/lpRioEByb9mO+3yBs/0B6TfIvoPoY2tZ0Tp9rKSLUG7VuaAwd/rfCw3MPrRxKV0NAS48avqUidy4mh/MAChJtvQfYHG9uBHbtgyWgm8Wfat+TSGx/QtE/Z6idIzcZksSo+MhrPRCmiMz79vJcImE+BREwp6xPexP7AUpk4sUrRSaKpdV3SiygkdfjhmPEvHPbsJbF9DwNv8RWY2zY+QdHOUQEn89+FfunbgCf+diov5v4/MotES89I1n2D+czBEJUykSwj4VSZ2gW/0VP3y+notXXQyAadn42m7FRiZjnABVRLEWoiEk2moOjg0DYtXbLRIpEbhWB0VWCNqrGE6nSDtEQlJPIWtDmHZ5T4iKt9spLnQmMEyrKDll1FEkuJ4ElcJUelGjT7JjPA2UyrnrvfUc23YsT7wifttqjz/X3FJSEkyk9VyLlOEYl7p+AH5NId19CZKS4JCOYfqSffQNiOtiOSIhoCkowe38uv8atj24gh+d/iMxrpUvCAoJyZwiocJCNOr3YOsxQHiUmJZJxmltKCISXJWJ5ePwjhl61IEVrWGs3hiK0kdPvIclUbHPs6aF5JgtzpZIWBBphoOQmUQ0JXNEwuyNFgGa/C6RMEHPWDrXxpHWbWzTS0CNVuRjU4iF0SbCaj2rF3fi1XTGfL9DCbQymjos95p8a4ZWlMBRC6yMBcgoYUGQyaEo9cuTjO7242vWYKbz1Llnm6PDHHzv+8hs28aye/+E7fhRSLJdncv/FONLqWGaPvQh8difXkKNGtCcJ36NIXGPTz319MxjqhpaVCayMIn2utcUPRVaEiR0+iCcdebstxlQImHoHsYcLzZbNDKOlN/vnzldYjLCbSiOMsOc1NrgaWnG09IMTzmfF6hO7aA2NcNOG6ZrbXWjQqv9PZ3XBw/tgmUFMZemTuuRY9C+FMoRCYWKhMA0qQ1GCkwDlPly5J8ZqVQKv3/2Bs9TobOzk87OyubNlWLDhspb7f6RqHafLq0w4nauMa9IeBUi6azEdEyO0JkCHkWmwZFn948XR6q5vcFNATF5yqc2VEskiJtJ0kiXPOe69BeusrxhbTufO2c1nztnNZ89ezXrFk5fGES9UWf8/I3bVQ0UGmuds/Rszuw6k6+95muVbztiVWYoNZp7zE0/0ArGliQTSbKx9Bjt0coKGcP3HN7mP/Di0DOAWNHJtTYUFPuddQHe99qlhH2Vr6Z5EPtkx3B37rHM7k8R3/oVltdXZiRYiHyqQvlVC9u2GUqI46exyhU5AE0WhUOijGoF4LvPfpcb934ET+ypqhUxXlWGKdp33NaBcJkIxkrgUWRkSxwj+wukoYWpDRGnXcctBvcNJyvySChMU7Fsce5lDBNP7Bm02FO5VpXZYIfxC8Irv8jTI7/Lb7MrW7drn5S58uuUc35ncwVobWM3BxuwbQlJzhZJ+m3bZiI7CkBTsDoiYYyX8LffxuaJP5V9/pRFp/Dj039MZkAQrdUqYlySVFLjRcaFLpEQ1BxFgjOubQb55Zl38puz/0RKFyaJ7bEyZoteFVuPkLKHea7/uVxbW6FiqFiRIOfeVwmifg+2Eca2ZUzbZCA1QMYo/R0LlTGHztDWALCmI4qZWoiUXlJ0fdZNi+SeDxAb+QQdoY6KtnEyFtcL0tmUJnLnDIBlq5ipBfjt2iaVLokqiIQ8MX5u50eJb7uSNvnkqsc8ZdEpPHLpX/jWqZt4373v4yB34225i7ECRULcIeE9klYTEVcIMytIPjnsFOWeAA2HxFl61gB162MzD+Ac17KcIfX88xh9faS3bsPOOO0HMjDLqNfC8V3FAwAuSVZw3NhGeYXcVPDUBeg4fpSmd725+AmzdOzZwDWtNCcKSHFTx0yL869qNQJAsBnVL353o6+7/GsSzv2nXCvAdPDFxN+TUhts02TXG97A7rdcmI9trFbN6P7+5qTfyFU4TLWo4SoSfLHyn1molsnOtzf8o+G2EDz77LNccMEFRCIRotEob3vb2xgYKG6Z6erq4pxzzuH2229n3bp1+Hw+rrzySgB6e3t5//vfT2dnJ5qmsXjxYq688koMo3iu093dzYUXXkg4HCYajXLRRRfR21usMCrcrsn41a9+xXHHHUcoFCIUCnHEEUfwk5/8BICNGzfy+9//nr179yJJUu6Pi3KtDZs3b+a8886jrq4On8/HEUccwU9/+tOi1zz44INIksRNN93EZz/7Wdrb24lEIpx66qls3bp1xv17xRVXALB48eLcNj344IMz7tPvf//7vPa1r6W5uZlgMMiaNWu45ppr0PXic7Jca4MkSXzkIx/h5z//OYcccgiBQIC1a9dy9913T7u91WCeAnwVIjDyYQbHejnquKMqfk9T2MtQIkv/RJrV5CeCLpHgqhtcRUK1E+mItY6h3iCrVpUyeSPqn9GahhnKtgGVeQtMRswXhTTodpqsmUVTNExnwqFI+W31q36+cdI3qhrbIwXJMsBgIZFgu675+RucKnvAEoRCY7Cym21SeQmt4a/sHF8InI1h2egjJ4CcorlcdnIVCCr1jNLDvjEhHbZtO2emN5s+dZdI0E0b3bTwTMqc/+u+x5Hq/4CaWkh9sPoVHa/iB2PqCL6cvNwI4626tUHGTpeaLQ6mBumx70cNK4S8R1e9zS5UQhhA90R+pSjjrODYlifn+7GgPsCTe0bY0R/PqXqmKurCBUSCaZtMZCeIeqOk9Xxx4VVnP0lv9DdAEoazeWl5vkisXTpt+p9Da9jPnvEWTqSRlGMWVytJ8cG17+f/d+cyMrrwoHBX98ez41hOPGhrsLoVOdefJW2WJ7FAeFPkWruqPP6W1S3D338FA2OeIiLBmziZ8fQhLDtGpBGoioymyGRNnfF0muG4OEbao/6yKRQhr4qVbcZDhLQ5zouDL3Jky5FTEwlKdUSCINdkbD2CpI3Sm+hlcegwJrZuYnVbfiJf6EMzk9EiwIqWMGb/mxm3bDr9eYl61rCwsi0E7DDeWa5kL2twChDJYjg1QqNTjDZry0ju+TDHrKyyyJoE914oKQkOjOQLRZeEb43MblVtND3K++59X66lRdZGijwYVseO5qbBfUSkGQwQq0CwKYOqyXg6HNKmUAUykz8CgBYA1Y9kpPAfspzE40+TevEFVI+490qKNLOqYTq4K9HJIfSDB8keOIj+6C70zWF8df2ETxNP23p1RAJaCFLDpUZ97nlTC/lB3rTSjBcsnJgZfPU6y677ONbCU8q/cTrIMoEl9SxQ+/G87W1FT43eeSdG/wDhgwN4PZRvBZgGQw/sIPNEjLrYQQqPXiuVJrNdxFRKkqOOqfa8dFohsj09pLb/HiUWI3TiCdiZFGZGRrbV8iuSYUeFOtV3UTWxLWZGtDf4qyOPX21ITrGAAkLhV3g9nO61siQXqbmqee1c4I1vfCMXXnghH/jAB3jppZf4/Oc/z8svv8zjjz+Ox5M/r5555hleeeUVPve5z7F48WKCwSC9vb0cc8wxyLLMF77wBZYuXcqjjz7Kl7/8Zfbs2cMNN9wAiJX2U089le7ubr761a+yYsUKfv/733PRRRdVtI1f+MIX+NKXvsQFF1zAxz/+caLRKJs3b2avE6v6gx/8gPe9733s3LmzIqn/1q1bOf7442lubuY73/kODQ0N/OIXv+Bd73oXfX19fPKTxUawn/nMZzjhhBP48Y9/zPj4OP/5n//JG97wBl555RUUpfzc4rLLLmN4eJjvfve73H777bS1ifNj9erV0+5TgJ07d/LWt76VxYsXo2kazz//PF/5ylfYsmUL119//Yzf7/e//z1PPvkkV111FaFQiGuuuYY3vvGNbN26lSVLar8fzRMJr0IMT0jY2SY6Y5Wz3qFIP4HAD/j6841sXHlr7vGcIsGRc6ZnqUiok1eybaSJNv+qkueyvifxRg8wYZxT1ZiFqPdFsFMSkmQzlhmjKdBUVpEwG/jkEAkLRgvYesn2YRlB/AW9iGlbGDdpDQ9V3CMbUMOgw4TDqOumRXZoI5DvxZ0toloDo1noSQhndKOgN7saIzoXfk3B23onireHx7tbOHFBMVH1aPdTeBv/AhPHVF1oASwML2T/oI9n9o6zZzBBV2OxAdNA0iUSIlVLy0M+FbO/i7PaPsz5h6zNPb5vfB8j/pvxNjUS9r1vmhGmh1eOYFDQJw2kTVeRoOWIhHUL67j9mYP86G+7OGGZmCRPpYSoC3jA9mBbGpKcZSwzRtQbzbvmQ9nkjEqxILwQhmDCyLP47tjyHFzax7UH8DbvYO/EUcBRZMusZM8GPtVH2OclpWeK4l7dOEjb1GitD1c1ZlATx1rWKm29AjAtk0IhTrUeCX7VT53aRb8xUUQkmPHD0MeXsyhSEB278Ad4fXt4qPvrhExxrLr+GpMhyD2JoLWSUflJnuh5giNbjiSghohv+xxIJv4CsunQ9gg7B+KsbKls/3gUmaCmYBkxZIdIkK1WYfSp5IkESZJY1RpmMJ7h8M6ZiQSfR2F5S5hXesbZfHCMDkdtkXXuL9VEd05GayRIdnAjtuUjnrZpdBTkGcMhf5XahJR13jokZJAs9o31AyIxo88hEqqNfnRx67ZbeWX4Feq8dYxkRpDkLIPJvHqqK3g42YEkkabZmcKWwDJpXjsq/n3oGvF3YbtfpYVZoAHGD+Bd1ELicdD37kVZ6JItNYpWCxQJA9/5DmO//R2SR8bWw9Q19uIexbE3v5mhH/+E8CkVFuj+GPbIPoz9O5Fjq1BC4lgefrSP4Ueaiep/o2nd22YYZJrh1x6GveUetFDBtc7IIsngaWqAJYtnNa7auoBQdj/ErKLHR3/9G1JPP412YhxvJ1UTCfHNB0nuDhA60F1EJLhpEEhSzgS1eo8Ecf1Jbt5Bz/euIXjiiYROPIHM3m5239GKGtrH8nLt5h1HgqRA5zQEvzcMycy/hOHisb86dsrnXtPxGn5w6g9y/99468ayhtcAR7UcxQ1n3pD7/5m3nZkzIZ6MQxsO5eZzajNWnowLLriAa665BoDTTz+dlpYWLr30Um699VYuvfTS3Ov6+/t5+eWXWbEiH+n7gQ98gJGREV566SUWLhT3xFNOOQW/388nPvEJrrjiClavXs1Pf/pTXnnlFX77299y7rnn5j4rlUrxox/9aNrt2717N1dffTWXXnopv/jFL3KPn3baabl/r169mlgshtfrraiNYdOmTWSzWR544AEWLBA5O2eddRajo6NceeWVvP/97ycazd8XV69eXfTZiqJw4YUX8uSTT075eZ2dnbl9sm7durKmiOX2KcC3vvWt3L8ty+I1r3kNDQ0NvPvd7+ab3/wmdXXTX+tTqRT33Xcf4bC44q5fv5729nZuvfVWPvWpT0373kow39rwKkNaN3NS7aYq5OUNQR+Kd4DBzMGix3MeCf5ij4RqC0X39a7MuRCWJCZgMW+o5LlKEfVrJRGWrmpAlWtbXfA7ufXj2TyRUDfxfhLbP88RDcfnHkva+YLMNbKbCSGPGDtuuERCYbFf2+l1ZP3ppLrfjDcrVvyyhol/wfX4On+aS8qoBpoio/h6UAJ76Yn3lzzfPSGIFL88u5WBa07/EMvT32Si77V84BdPF7VQ2LadI7UsI1y92V3Ej5VtZqHnVI5rPy73eNJIOuNrVbWNTEZAESqewujKXO57gSLhkqMXcMKyBpJZk3tfFvtrKgf9+qCGLIFtiMm9OxlIFch4ayHJlsTETSkt5X/LTBkjvdlCk0XBM+aYW7oKjbkgKdxWkUIiIapFWa29k8zA6VUXc2HP9ETCGbedwWm3nYTsFef4bIgy9xhwkzwgfz0sbOuSZXEN+Noz/8mOAUFMlfNHgHxbjNdYDuQjI00LbDOEbURzBosA//WWtTz9udNKSLqZttv1SehN9ObMIj2TVE13fvgE/nLFyTMaLbpY0yHOmRcO5D1sxjJxtMb7iPvuq3j7JsOjyISS55Id2kgynb8Ou0at1aqZJkORFYJqDIDucXHu2LbNbb2fxL/geqLBKlfHHVy25jLeufqd3HDmDfhkcS8cTOVTBdwWwLlKbKCwzdBdlfQUlJGVEgmO+sfjHKPZ/QcAG0WzkLUaWzBcVURyCKVefI7t/I5SQUSjp7mZFY89Svs1X69s3EgH+/9Sz453b2LivvyxZiR09KSKmZrdb+ii7k0X0HHcKJHWMXCNZd34zlo8IyKOifFY8TzNTjnxj7JDMJTzFJgGckTsZ2u4N7+9gOWMK/n9SK5ao2oiQbxeca5/bmqDlRBqHlmbYp7TtAKu2AHnfX/qsecjIF91KCQLAC688EJUVeWBBx4oevzwww8vKXjvvvtuTj75ZNrb2zEMI/fn9a8XaWV/+ctfAHjggQcIh8M5EsHFW9/61hm3795778U0TT784Q9X/d2mwv33388pp5ySIxFcvOtd7yKZTJaYPU7e7sMPF3N0VxExW5TbpwDPPvss5557Lg0NDSiKgsfj4R3veAemabJt27YZxz355JNzJAJAS0sLzc3NNW+vi3lFwqsML/Rtx9t6O5LeQsR/VsXvawvVQRoyVhzbtpEkiYyZya2Uu0RCWp+dIsGrSsi+gzwzPMi55sU5mZZl2dhSBgmI+qpbRSxExO/BTKygpU7B4zDgZo5IqG3iuDCwll17LLzBfBKB65xfuLIfU7sYz+7HtpWKFQlhLQJJSBqi2NINE1nrx7YVZEkYYc0WR7cdzU/HVMbHxYQwaWRQQ+KioVZpBgZOrBVuRGOpXK4/KSbVEU+VsVYOor4g173tGM7+zkNs6Z3gU7e9yLUXH4EkSUzoE7kVftsIV13ItcfERLl7tLhQdGV/tqVN6VVQCcKeKAMGjKTzREJuxaDAI0FVZL5z8TrO/d7DHHS2JeQtT2CoikxDyEvCDAKjOYIs7ZpeAao0+21e1ShWxWx5goSeIOgJ5iTxcg3juvDKIbDIJalkrLlRO/QmeklEb8TnyTKRPjL3eMwXw59+LfrIAM1Vxu9FnAmpYZd6uFi2xVBqCMM2sE2/INRmcf6k/H/D27yL3WP1gJAlptUdyH4JRckXLraa7yftGRHXmamIhIB7zKaXgwbPDzxP2kiTNQuMEAsISVmWiAaqI8wifg+9gyfz2RPfx3kr1vLzp57C2/YbRjxLgTwpV+052do4RnDZ1dzco3IFYoI4lhnF23QfQ7YGbKpqvEKUa9V7fvQ+gst+yk7rGKAyM9yp8PHDv84Vt25lOCwKsLgeZ8TcgRqClsjs7mOyJPOJoz8BwGXLv8LX/rCPdFv+WvrKyItI6ih+LVbTtruwsykwxaJvrjicDZHgqAa0mCBt9AMHiJ70HqLbeyG6cLp3Vjw2iSHUhmKFpeQpPo5lrQp1VrQjn4DQlydSbWehpKqxysGJv8XSBWHj8YOZZWyPn/SNdxN6YyPBY4+pftxoB2N7/Oi3PUBs1aWoToSklXY8KRQb/PVVGw/KMTG/s1Jp4bMQanb+7xAUPl+eeKrabNGJf/SLbcoRCUlx75Wmi6Kdqb0ml9xQGgX8z4bH3/r4lM8pk+awD1744JSvlaXiOeP/vul/K37tXKC1tdibTVVVGhoaGBoaKnrcleYXoq+vj7vuuquoBaIQg05aydDQEC0tpRHjkz+7HFy/hrk0YBwaGir7fdrb23PPF6JhUvSr1yvOqVSq+gW+QpTbhn379vGa17yGlStXcu2119LV1YXP5+OJJ57gwx/+cEWfOXl73W2udXtdzBMJrzK8NLADre4J5OzCqgyZOqONMAg2Fgk9QUgLockaD138EAPJgVwspCsP9VZpdufzKAQW/pi7e1K8a2wDK+tXOuNZSLIojOoDs1ckhH0q6e6LWRRuYlFEONBLtoZlBEXvfQ04sv5M7nmsi0Bb3vzLcL0GCibpR4XfyfatMtLE0UQqNO6LOhOOlCkY9bRhEFwqZEgJ4zyiyuwiCQHaom7xLCYAhb31hX3T1UDBiwmMZ0qTFYbS4gJd5519S0ZLxMf337qOS69/kN89382bjuzkpBVNDCbFDUQlALZWdWtDW9QPmGwde44/7+3ndQtfJwiKXKSaNmuzRXBSAgwY10dzj7nmaIWKBBBpCT9823refN2jZA1r2s9tDnvZ5fgkuCRFxjUdspWaTNcW1TVgGQFkNcmu0b2saVrNktBRTGy5ikMW195v6leCYEFCF8e2bclY2QY0dXZEUyHi6lOoYaXIjA7yferNker6PiPOhNSg9MY4kh7BsA0kJGwjhM83u8nXsPQQWsNu9k2cBByHblpo7TfgVTJM6KcDYp/bcp6ke2qv+M0XTKlIENfhdKqO5pZm+lP9PD/wPHWeTrytd2KbPjxK5YRyOUT9HqxsCzFlKREtwkD6AFrsKRLW1L23lWBdZwfy3nGytkTWyKKp2pwlK9RHDOSRbrYN7mPjSlEUJYwJZM8YFlPHy1aKDZ2HY+tD9I3pGKaVb6uxPHRGK4vonQ6HN63FzqYYS4r7bVJP8sNtHyO0HHzW92oeH8AaG2bbr9uRFJsVnzaQvUpNRIIjriN74AC2kUaC6o35phib5BBK+6TrRg3+MEQ6CiIg86oPl0iQvDWoBgC0ELYlYRmgZCbEfjWyxHu8jD/2AOqKo2dHJEQ6GXgxjJ7YQuBt+3JEgu0QCbJq50iAauDGf1qGBIPbcmPklA5+sf1A9b+p6hIJ4lplOtF1LpGg1EDgo/3rREBWkiL2937tXKC3t5eOjoK5smEwNDRUUoyWm7s0NjZy+OGH85WvfKXs2G5h3tDQwBNPPFH2s2dCU5OYnx44cKBEQTBbNDQ00NPTU/J4d7cwRW1srM3vrFKU26d33nkniUSC22+/nUWLFuUef+655/5PtqkSzLc2vMqwf1ycSF6pukKgIxrBtsQF3XW1lySJqDfKsrpluQM0bzZW3U/v96hYGXEC7x7fnXs8kdFzueH1/tlPwCKOLN1t6wDo4h0ktn+eo+vPnvW4kF8xHi8YeyJyPf5F19Gbyn+XkCdKduD11Hs7Ky7wYj5BFGQtMblN6fnVZk+NLRl1QQkluI1B+3FMyy426ZulmZSbvjGRLS0ixnXBujYHZk8kPNv/LF989lJaV4j+sRcPjAL5Fhs3iaLa1c+2mA9kna3SNXzswY/l1A0jaWcCYntqkgyvjh1Hct97WChdkHtsefQwsiPHQmZhSdze4Z0xvv/W9Zy2uoXTDy1l1l00h71kBk7n7Yu+zms7XwvkDRGxa1PaRP0e0MXN/eUBcRzbNmBrNZNvkG8Jctt22n2HkNh5Baukj9c0bswbA4Sp6VBBD/mesT30Zl9GUseqbm2I+gSJaVGqSHBbasKeKKDMqq0BIODI4YfTTlSdboITdRj15yd7YVOslquJ49kzlKQx5OWkFeXPKTcdZWA8yxuXv5G3r347Tf4mhlIjaHWPocWerNnh31XTuN4OOR+NGlUrxy5YJO45ks1LA/sASDoqHkWq7do34f1fgku+w1/67sw9lnHOea0WabmD9qifoKagmza7BhOMpkcBkbZRLYlVDnVB8f1Hk2Jf9yZ6nfF9hL2zV+4VwhoXJJVtgeSuwBcar1VLJAR01JYWfKtWYcedNsBa93UBkVCiSKilxSPaiRpwiISBvCLBcuY3tRIJyWefZcutbey5tynfv29mMNPi2jH5u1SMaAeqz1FSDOWNfYsUCbPwVnKjKC1DgoG8e3y+tcE3+9aMnCJBzBmt8XFs08RKOts8hSKvIjSvEl4K2uwXoeYxt/jlL39Z9P9bb70VwzDYuHHjjO8955xz2Lx5M0uXLuWoo44q+eMSCSeffDITExP87ne/K3r/r371qxk/4/TTT0dRFH74wx9O+7pqVtxPOeUU7r///hxx4OJnP/sZgUBgzuIiZ6NccO//3oJrmm3bM3pJ/F9iXpHwKkNPXEw4gkp1q37NES+25UeSJxjPjtNOe9nXpfXZKRL8moKVbUIJ7GPP2J7c46PpBJIkVvfD2uxNpNz+9rF0FsMyUGU1Zy6o1ug1EPTKICcZyeRv3IZnL6o6gmnni3NXQtxQoT8CQKMzWdNtUdCmCmTrnhqdoz1aksDC67EthcGJj5F0UwRsuUQqVylUyUsGSGSLL2SmZZKyRgFoD01dGM+E1kArB+MHhZmZnGJHv9gv7cF2Ll93OXc8M0A/VB3/2B71g+UFW5ikjWfG8at+xtKCwFHxIc9Cru6iK9qJmRghk8qfd0fUbyTTK1MfLB/XdtrqFk5bPf2+ag77sNIL8JnLqfOJYyWmNRHf9nmawrURCZIk4c0eTiLdhmY7x2Eu1aP2eLmgJwRpSBviN3TbgWod26f6HGVMhoFUXjL4m223oTffiKa8hubwm6oasznQSOrAJbRFYiXPuSRWVGvgIMV+BtUg7InSqwv5PkA8nUGSxD6JaHkiYan0Lh49uBJj4lAUWeL7b11H3RQpMK2O6ihjWLx1xfuod163b+RZ5xW1e124appHB37PnseGGcmK236tRELAq6La9Zj08/i+naxrW0ZKd4gEaivk6v0N7JmAkXT++Mg4hZBHrp1IeGHweZoWPkCmP8qLB9bS1OwU5WZg1maLhRjM7EZrvI8Jox7bPjVHJFh6lGBk9r+plUwy/qc/YfT0EF4vWpsUrWAlS5JA9YORqiy1AfIRkPooy//yIABjP7qa0fsbCK00qEl/5CYXpYZRJhmCSbNU1QEQacfjtDbo5VobaiQSZKef2MxI+UhFU8fIiDmC6/dQNSIdKD6xjeZgfj6SUyQodn6fVQGpkEgY3F74DGpbG57mZnDnJlV7JDhEQoFfhjk+niMplBq8iTjnv2f/3nn8XXD77bejqiqnnXZaLrVh7dq1XHjhhTO+96qrruLee+/l+OOP5/LLL2flypWk02n27NnDH/7wB6677jo6Ozt5xzvewX//93/zjne8g6985SssX76cP/zhD9xzzz0zfkZXVxef+cxn+NKXvkQqleKSSy4hGo3y8ssvMzg4mItMXLNmDbfffjs//OEPOfLII5FlmaOOKp+E98UvfjHn7/CFL3yB+vp6fvnLX/L73/+ea665pshosRasWSNMca+99lre+c534vF4WLlyZZF/wWScdtppaJrGJZdcwic/+UnS6TQ//OEPGRkpb8D5j8C8IuFVhkFn0hvTqiQSwr6cWaG7uvLwwYf58mNf5p49+ZPTVSR4q1QkeD0yVtZRJIzlV/GHUw5bb0tFCQjVIuJX0ZruobfuY3z/OWHO45qC1Vq47Ek9SXjlVexRCk1/XEKlwPDJIRIaqzC5XBZbSmLX5TSMi1XadG61Waqp/x2gNSjkiZJssm2oP69IqGElW1NE4ZLUkxwYSfLF326mdyzNSGYEGwvbluiMzF6R0BZqoyvShY2FGtzJzgFR6C+ILOC9h7+XaPZ1QPXHX1vMB0hYzjHuqm7cFg1Vrm0Vsc6JICyMa3NXcAvbGqpFi9Pr3z+RXym3bBnbDOKh9vaDNs4m03sBMXUZALsmXsDXdisD8v01j+0aibptO247UK0mogA+WaiXhlL5m2Fv3JlYW0EaKoxfdVHnD2JMrMVKlKbKuGkhrvdHtUafLiKa+L0mdLHNo+m8qqcwgiuixTDGjwDbw2fPOoRjl0x9LfeqSs7YtWcsT+6lXNPMGlUrkD9+nxv7HbdsvYXulFixVObARyPqEdeoF3rFPSHl9GG7yqfZosVRRbn7GiDrEAmaXKPcHtg8uJkhzx9Qwy+xuXuMg+Pi2LONQFXX/6nQndqBt+k+lPBzxDMGvUlHkWDEKjazLIfsvn30fOrTDP7gh+gHxepZiSGi295QsSIhb4joQu/pI9nvJTNqT/GmCuF3xrYt1GDx957skVAVpmhtyCkSfLXdD3Lxj7qMnXKIBCODkRbXvlkrEiIFioT+vNFnTpGg2hCcRWtDjkiQRWuDg+CGY1n+wP0svP56MN3WhtkRCZJkIjtxdNbYGFbKiQOuRZEwj1cdbr/9drZs2cIFF1zAF77wBd7whjfwpz/9Ca0C35G2tjaeeuopTj/9dL7xjW9w5pln8va3v53rr7+eI444IpcuEAgEuP/++zn11FP51Kc+xZvf/GYOHDjAzTdXlkBx1VVX8bOf/Yy9e/dy6aWXcv7553PDDTeweHE+TeXf/u3fePOb38xnPvMZNmzYwNFHT50esnLlSh555BFWrlzJhz/8Yc4//3w2b97MDTfcwBVXXFHRNlWCjRs38ulPf5q77rqLE088kaOPPpqnn3562vesWrWK2267jZGRES644AI++tGPcsQRR/Cd73xnzrarVswrEl5lGM2KCU2Dv7pirinsFa0HtkxKFzf/5wae45att2DbNmd0nYFp2exyCrtqi6OIz5Nrbdgzvif3uGqHiO+4guaIVJMEN+zziAJZMnP9qvu5Gf/CXexOvA/omPb906HJHwPAKOittSUTCfAW9As2OStRXQ2VKyvqAyGsTDvJpJi45Fsbaut/B6FoUOwQphRn++BBljaK4qsWR36vHMA2NXQTrrrrZf70ch9Z0+YrbzyUJamv8WLvAZqPrK0n77j249gzvgcluIOdA2tz5p8Aacejo9piLuxVRXuB6Qc1kSMSjqh7Hb/8q0FnuLwCp+Lx/Tae6JN0o2PbxyNJEgfHB5GUBGHf7GWXTREfkmeQ58de4n/3HOTMrjMxyxh9zhauKejghDjuBtL78MSeIU7tY6+IHMkfnn0vXUuXArBl/BECi29kt304sL6msQNqlER2gNECc8v+pGgZCKnRqtUlAUdlkCjMeHTgKhK8ckyMP8ue3nqfKB6SpigsxtL5wr8wI9w1Bj3viHbefULXjOO2Rf0MxrP0jKZZ2CizZXhLrh2j1qhNyF/rg1In4xykN70TmBsioT3YzvDEZnaNHgAg7bQ2qFJtxX5HuAn6IOmopAB0Sxzj3moLoTJwzYclZYKXDo4TbBJFtCaFa4qudNEZFqZZkjrGaFIvUiTU4uXiW7UK74oVZLZtY/T3fwbKuOZH2iE1DLEKjRIL2g9c2A5pLVWpHCuBqgnjwsw4il+i8fKPYj/5c8LB7agnHjH7cSPteSJhcBDbNJEUBU/ARovoKLHaVhBVh0jAlrCG+1EA28hiZsTcQCljXlYRgo2oAXFtM3r25R7uuvkmrD9/HXX47lm1NtRdfDHRIztRbr+kiEgowmzNFt1WnHgvbV/+EpKmoTQ2obUEiSxKEljyf9M/Po//GyxcuLCk5WAy9uzZM+VzjY2NXHvttVx77bXTjtHR0cFvfvObksdtu5i83LRpE5s2bSp53dvf/nbe/va3Tzl+XV0dv/71r8s+N/kzAA477LAZv/fGjRvLvrerq6vs4+Vw9dVXc/XVV5c8Pt0+PeecczjnnHNKHp/8mTfeeOOMr6nk86rFPJHwKsOEIW7mrcHq5OU+j4J3+D2MpXQ6fIcB+ZU4d9L0120D9I6niQU8bJhmlawcjlpUh/WAQySM7ckVh1lTwtYbCMm1ZWNHfCq2Y0o36kgJU9I+1OAu0mZtjr7NIScaSSr0BXBiMAuIhPOOaCfqr27fuJPCiYwoYNJz1P/uwifVkSDO7tEeOmJOgW/P/rRdqr6J7S+dwPLOZXx/iygoHtk5iCzJjMeDWOnOihMrpsJxbcdx05abUIPbSfSa9I6nmbD2A5B0pM/V9qlLkkRbzE+3VRwRGpBbMeKHUl8fq2mbYwEPvvbbSAEJ/dOEtBA/2baJ0IoXscz3AyfNatzmsBfF180efsUtW47izK4z6U504229g5S3Hji5pu1uDGogZdk+shNYQNYSx+FcpDa0BFowk0uRdLFCNmGMovh6SNu1kTYAYTXKQLbY3HI4JYiEmC9W9Xh+TUEJbSHtSTKaPqZojNZgKxvaNqBPCDJyVdvsetQbndXVtFWshsH2FJGGH3ndco5Z3MBJK5oqIhNboz5ePDhGz1iKy/50OS8PvcxpncKrYy5iPF0iQbPE75Y0BXkzF0TC8oaFbJ6AvoQwqnK9S9Qa2w8WxoR7t27nI3t1SxS3XqV2D4MGvyPnVyd46cAYK1dmsE0vfqV2o0WAFuf+LXvGi4gEW4/SWVebf0n0vPPo/8Y3mHj4GfEZ3klEwoU/g7EDUL+ksgHdqMHkEKN33Mngd7+L7vQKS+ocTBED9ZAZRzbGaPrQh+D6u2CfDo2zXNUHUL2oDY1EFiVRj70QW9eRFIXWEyQ4bAA2HjfzGNNA0jRkTcbKWphDgkiwklmwBamszpDbPvXAEmosAhgY/T3OQxL+ww+HzQaMAaHqiQQlHEZZeQyoNozth2wCJreaztZsccGx4u/dfyNyeb44jBzWQmRiFE5YXvX2zmMe8/jXwXxrw6sMaUtM8jpm0afu9na6zudDTv9xozNRuOkJwYC/cV1H1YXcuoV1eO0mbFsmaSRzUYFujnotck0QigSXSBh2WjMsp9j3VBmFNBnNwbybumU7Oc2SSyTklRleVeGMQ1urUmuEfCqe+r+RjfyW/kR/LtpvLlYSAcKOHLt7opf2wGImXvkqgd4rZz2eu3J705P7c60je4eS7B9O5la1q/GIKIejW49GkRRkbQjJM8yO/jhfffyrvOl3b2JCfh6onkgAkWJhT2ptiDsGmqFa+jSBtkgE2xLfe8BZGU87UuqQNvuJf3PYmyfIHKXNcGoAre5xMt6nathigVAwQ3jVF7ip+3KyZhbDiWiciyLR9RJIOCSZ4Uhja23ZAYh467BtiYSeVwmNZUXR6Bbs1SCgqfhafoun9VZ2jO4seu7cpefyo9N/hD5yPACHtc9utbIlKM7FrO0QCY4iQbKLj72o38Npq1sqXtlud9NZxtKsqhetGTvGXhZjzwGREHFi28gWR2vNxTFyXOdqzORiEol6BiYyNKlrSez+EOuD76hp3KX1YlstOYHumEMqVgQz00xUq6EAdZBTJHgmSGQNgulTiW+7kuWeqVe4qkFLQNy/JSVFX3wsr0gwYlMmeFSKyDnngFwQCTo5fq9hKSypgvgsUCRIspQjEWCuiIRJigdXYl+jh5BU10HHcaO0vPVkEW8I4Bwr1Gh0DKAEnLjD4SGwbYykQ9KGQ3lzy9mM2yj2hzkwUPxEwvn/LBQJ4n0N+X09tAOA0dvvYPdFFzH4ox/N3myx6wSQZBjeCaNiQcC27YLfsfZWo3nMYx7/vJgnEl5laBn7MvGdH2d5fVfV722e1I/tSnobfY30T6T58xZR/F9yTPXZ0Joqc8ziZjK95/OGls8RdmJ7do3tQGv6Ixnfo1WPOXl8jyQYdFeRYDtEglbjhKMtLIgESbIZSY1jWTY4JmmzTT9wEfF50OoeRmv4G7tGD6DJQbJDJxJIn1DTuC4afGLC258cIGtagIRWw+TOLQ6HsrvQGu/Dreeve+oOstHfoQR21NwjHNJCHN50OABqcAc7++M5qbaRFSs61aaGgDBczBEJTu70i8NPoEaeRfUO17TNkQIia9+oOE9cl/iId/YT/5aILzeuG/+Yc82fgyKxPdTgECA2B+MH0eeQSFAVHU/sMXqkPwLkx56DSfqlSz9GfMtX8CY35h5LGOK8bw5WLxsOaApWRhSfjxwszfO2bZvNB8Uxc1jH7IiE9S3rSez6N+zeywBQ7CDpvrNo0GuLZ2yLiWO6ZzSVIxJ2T2wB5ra1QU/lyen49k9xiO+imsd+/dLTaEv+B9mhjWw+OIZkBbHSC2n2LZ75zdNgaX0Lti0hSTb7xsR9rNV6I8ld/8FRDWfUvN2twVY0WUOSM8jebh5w7o0t4drVDiCugbItxto31st5S8/DGN6Ile5gQV1tRIKnpZlggYu4v6PGeDi3+EyN4OkoVhtJnrkgEvKKh+z+/XTfM0zv0xEy3bVds4k47Y7jB/OPOdeoWkkKACUo7oPGyDBYBlrIYNl5vXTd8D81jRs4ZDELNw7S9k5BbJqjowz95CeMPOl4PcySSBi76272/TnK+D4fDIj2Bv3AAdLPvyDIodkqEnxRkawAsPsvxP/yF3Zf8Cay/WPYJvNEwr8INm3ahG3b/2dRh/P418E8kfAqw0hcws420Rqpvi9b9z9OYMk3uWOvuNG5xVtToInfPH0A07JZvzDGipbZSXtPWNaAPnoMvb1Lctm2+xO78Tb+hQlP6eS9WgQcWanrim7ZjiJBrm0yUx8IYVtiYtE9MUzWNMHyYFse/J7aimavKoMl9kV/YoSAUk+m/xzqsufXNK6LjrCQlfcn+zFMp7denv1pG/SqICfxL7web9N9rDn8AdTwZu498Bu0hr+iBfcRqaGH18U5S85hpf9MzHQbOwcSOVJLzxEJs1AkxHzoY0dymPfdbGgXE+nHh+/A33ELWWVHTdsryxKKJbbtwIQ4b9ye7FqIhMaQF9t0CLLMKLZtkzXFytZcrDY3hn1YWVEI7J/Ynyv21RrPGQCPx8bXdicj3jvImJn82DVG+wE0BsOAzHhajKmbOrotWo/aw9VPZLyqjBk/BIC/Hniw6Dnd0jkwkmIspaMp8qyvf+2ROqxMGxMJH5ZlMzyhoQ+/lhX+2uJp2xxFQs9YmkPqxXcIqGHiOz5JQ+KymsaGPJGQSEbxuW0Bsk5QnRsZ/xELBFH7+O5hso7ZXa0+A0GvhjR2Cpn+MxlLCuVU1rn+eefAw8Cv+tm4YCMAnugzbO0TpsGuOepcwCsJ5UR3vIf1ja8j1Xcmst6W+71rQfT88wDwhAwaT2qd4dUzwDVbtC08TZOOCbX2c71QkdD3ta8ztjnNyPYQmf19079vJkQ6sC3Q92zDGBJqh31/VNn1xybSO/bN8OaZETykTbROeE0wMkgyePwW3hUraxpXbe8i2JrF6xdqLL2vn/5v/BcDTzj+LrMkEjLbtpHYm2bioC/nk+CaOMo+P4zuFS+cTSrTYqFwsXc8yMC13yHzyivs/Nrf2PLrdsae2DOr7Z3HPObxr4F5IuFVBMuyGXJc42ezKhzwmSjeAQbTvVi2lWttqPc2cMuTQpJ28SzUCC6OXyom+I/vGkJ3JnXxrHB090i1T45cl/i4LlYO50qRoMgSOL31ffERTAvi2zYR3/qlWa1+FkKSJGRbFJoDidFcsa/NgZEewBtXnEmq+y0M9axjy/AWfB2/IBma3hBmOvg9ClgBsgOnAbA9fQ/+zl+QcgrxoNJcs0kkwIUrL+SSpf+GlV7A1v7BnIQ9nRJFdbXxjyAUCWZiBVryRFbUrQAg4xhIBT01rsoBHkkcf72TiISYb/Zja6pMzCdWwE3bJK7HyToF+ZwQCSENKysKgf0T+zEcjwRlDor9en8E2xbHwkR2Yk6JBDfudcJpTbGx6eJtZAZOZUG0eum6JElo2TXYtsTW0VfoS4gixbZtjvvVcbz5D6ciqWOsbJ29mZ5bkFs2xLMGLx4UCoo1s1Q4uGh3FQljaVbUrUBCImlMgKURUGpfHXK3eyJlsTQmjDNlbUBcF+cAJyxrAAwe3tlHb+YlPPV/Y9DYUvO4bdb5ZIc2kkyJe2FGd4mEufGfOXfpuQDI3gF87TfhX3A9ktY7J2MDBBVxHPcm+tg3JEiyjjp/zXHGAOFTT0X2aXgCJqZe4/moeMArjmHVD1JBdKKszQWRkE+FUOvz57ak1UjaRDvoezbKji/czfDPfw5AZkwiM+bBngOz2eY3H0/HcaP4W9W8jB+qbw2YjGixksJ2WqRkxWm7nCWREHzNiQAker3Y/SKZxUqJ406W0pAZF9veVJpsMyOcVhlp719pveoqUPLnoByozfNjHvOYxz835omEVxH+su8x1ObbUKNP5/LEq0Gjk04wqvcxmhnFsMUkfUev6IMPe1XOObxt1tu3ui1CLJQh432W654WbqgJXdyovHLthVxEq8NILGZ55EhMy8wRCbUqEgA8qSPJjhyLbfpyMXYAag2r+7mxnZaMwdQIST2NpI4iKckZ3lUZTly0jnrreIx0O8/17MMT2UzWs3XW47keCfroBj506OdZEl2CnV6APraWTN/raVGmjsipFkubxQr/rhFhKhVQA6SdSa9vstN4BWjNrdzm3fIzliASwt7azD4hH0nYnxAtCKbtEAn+2ac2ALSEwjlFzGh6NNfzPReGiI0hL1ZWFJt/O/g3spaT7T0HY4e9HrDEpHk8O57zX1DnoLVhSN+Lr/1XpMK/xrZtNEVDmjiB7OCptEZmdy3xKzGs1AIAHtz/YG67M2aGpDmBbQY4rGP2q/A+j4K/8W94W+5iz0gvL3R3I/v20dwQn/WYAK0RcVz3jqXxKX4WRRYBIPu65yRqM+IQCeNpnatP/CpHhy5DDe5k0Hyh5rEBbjn4SUKrPs/Lw5vZm34SX8vvOZCu3f+j2Wkz6BsX5/h+zw8JLPkW+5Obax4b4PiO4/nGhp+R2v8elMBu1NA2ooG5mxJtiP5/xHd+nLB9KA8deBJJHau5rcGFHAiw7JvvYtHrhlBnoV4sgVPsS+kRPB2i0F24cZDGMw+bg7FdRcIwSkMhkVDj4kOkA9XnJDf0C8WbI2JE9td+P8ilFWQmwMwyfsBH37NR4o88Vtu4kU7G9vgZvHcbxuAgVsqJflRs8ATAO7vfM3DEEch+L2ZGIb3lFQBsZ2w567SRtBw6u7aPzmNA9UG8D3+zQsO735V7SvLPEwnzmMf/y5gnEl5FeKr3BbS6J/BHdsxq1Wxt81psSyFu7+aml2/noYsf4jfn3ME3/7QLgHOPaK/JFFGWJQ7tyuDv/BW/2ibaJ5LOSrNXqf1mUuePkNr3ft7U+TkUWQFbxbZUvHMgr2zIvolM7xsJKi3oTvwezE0EnyaJG/9oepzNQ88QWv41Dvqmj76pBm5P984BsQJaSwFaF9CcMSN88KgL+e35v2W9ZxPp7kvIDp9EU2gOJqUOFtRrKIGdjCtPAFDva8RNopnNcdge84GSoCe9mWf7nwVAdwrnyBwQCUFV7OehtJh0WYjCuT5Q2+S/KVzc3pCdYyLBjK/CtiUePvgwfdlXiO/4BGuCb6p5bL+m5PwdxjPjSGhYRhifUvsxIskZPNEXkINbSDsrza5JbPMs5eVhr4oRXw3AA/sfAOCePfcA4LFjYHs4dJZGiy7UukfQ6h/mpf7dHDT+RnDxD/hj9w9qGrM16kOShHR/KJHNtzcsvJ6Ep8aiBeH/AWDb0ODtZEjfjVb/MMPGzhneWRmCmg9JspG1PrrHRYvAXCQr1IV0ZG83O4aFTD0r9aN4+5Fls+axATyyh1OWrUVTJCRF3McWxuauP3hRZDF2tokDye3cuPsK/At+WrPRYiEUzbmYeubA1yHofO/EIJ4FnQBk42r1/fTlUNDaoNbnFYCFyodZIdqJGnCIhL4+sO0ckSD552A/+yLYFpjjo2BkSPZ6Gd4aJPXsM7WNG+1gYHOYgUeSZPfuxc44xb5i53+HWUDSNAJHrgMg8Uoftp4ls1Oc41JGeIDQfsTsBvf4YKHjy7HrQRo//GFhRinZeNtnaQ45j3nM418C80TCqwgHJ4SsMiDPzpX6gjVrCSXeDMB1L3yXLUPbuPEvKZ7fP0rU7+GDG5fWvI0bFx8KQNwcIGWkSDm54XNBJLhRiuMpUWgFBz9JfOuXWVV3+JyNPZE2GEmN4V/4YwILrq95XCBXWI2mx9jaNwpAsAZX58noas7gqXuI3em/ACDXYMB29uFtvP+1S/jWhUfkHjthaX5y1xCcux7h+/bfRWDRj/A23QeApYsVnrULYoS81X+Htqgf1b8H2q/j649fA4DhqAaivtqJhBWBU0nu+/9YrJ2Kbdv4Msegj62jORiradyWiI9095s5t/nLLIktmVOzxfqghplaTGr/uwh5QgSkJmy9noCn9mI/oKnYlihSxjLjLNPeSGL7ZzkqWrtJX3vIcc1XEoyndXomehg2X0HyDOdWoqvFCcsaMSYEkbB1ZCsDyQGufUYQeuaIiNmstQ1BtcUx/NT+/ajhFwE4tWtjTWN6FJkmp5WtZyzFucvOpcUxK4wrz9U0NjjRwA4xPZ7SMR2l2lwovQCObxemcZ7o01jO+ehTay9u+5Q/ElzyHR4f+i2QJ/YCNfraFMKjyKxo05AccmJxXfOcjR1zlCAjThFn6VEW1M/h6q3T1sUc7OvCYt9/6KH4u2IomjW3YycG51iR0I7qFySk0dcHlollioWBuSAShu/fzJZb2+n57V4wsxgZcQ4p9bW1QwolhbvdPXlFgmpDsLbjL3jyqQAkulWGvvNfpF98ESkQINQoVHa0rZ394Es2ir93/wXZ72fph5ex5PX9eFrniYR5zOP/ZcwTCf9AJPUkP33pp3zwvg9i2Rb9SdHX60b+VYugV+XGN12ONbEeJIv3/+lj3PzMZiQJvnPJOjrnQFZ56ool2IYYZ+vQLtKmkPAH1DlobXBWzg7GD/Bs/7O5eMK56OUNemWQkwwkRolnk6jBHcjBHXPiB+B3iITx7Dgv9YnorNgcyv0s/yv4Wu+GoJD01rKSHfSqfPqsQ4oM505Yll8Faawx+rEQriEiwImNFzExcAQAlxy9YFbjBb0qflXs62En2cPE9TGonUhYFFmMmViOnokhSRLS0FtId19EazhW07jNYS9mchlqdilBT5DloQ3Et/8ny6T31rzNmioT8amYiZV8/bifsD7wQUBGnYNzJqApuZSMweRYzv9DnQMVT53fSVJRsgwl4ty96z68C/8HX8vvZ30MXnzMAqxsE5l9H+TmM+/me899j/HsOEsiyxnrOwpVlljZOjujRReaJFojnunbjBLYB0ictui0msaEguSGsTQndpzIETGRTDAXLSqQ90kYSiTZmxWEpCTZ072lYpy/7HxkSUEJ7EP2HwDAPwcFaKNf3AdHHVm2LYk+9WANcazlYNT9OvfvBbHY3A2sjqE13sdeSfTv23qUhXOoSPh7EQlNl19OcHkdY3sCxF+p0RAR8qvsySHUhgJFQq1EQrgNj0Mk6H292Nk0OJ4uc9HaoERiAJjJLJhZzLSYLqsNs1voycFfh+ocwsaBnVg5jwR79tGPDkKvfS0AyUGN0KEt+A49lLYrN6GlRJwsbUfMfnDHcJE9D4FpoKgm3og5n9owj3n8P455IuEfiMd2jvCtJ7/PQwcf4sneJxlKC5O3Ou/s5W2r2iJ86YQvYulRdF1F8e/l46et4KQVc8MadzUGUS3Bmt+99fEckeD31H7jjvhUFP9ubuv7dz7x4CdyLu5zUbgMem4nvPIq/tzzK9KGY3Znz41pV5f3tSR2XU6deRIpxwjx+M4j52RsgDesOLno/8ocRMIVYnVbhLqAKDRqjX4sxMLwQgKSOO52HWik++AaAprCOWvbZ3jn1Gh2enknssKQ03KIhHp/bQUi5Ns+hh3D0zFHGeMWYbNFc9iNZXVyvPFiG3U5M7Za0eiM77FanCjIufH+EIkkYrKf1vWct8hctAOFPWFwzr8D44N0j4trnyZFZm1Gd2h7lDUdMbKJRfzPY3/l9u23A/D6tg8BCstbwrNKCymE30mWGZDuB6BVW01zoPZV7HbX/2NUFBVZx9xtromERDpPHkyYc2Ms2Ohv5MR2UcAoXrH67lNrL/bbQmK/JoxRAGxHkTDXREI0kD+//TW0/k2G6knl1FgAthGbWyIh6/jwzAmRkDdEBEjvHyXe7UMfy0zzpkrHLvBIqCtQJHhr3G7Fg9os5krWRJz05rznh1SDQW5u+AZx/JlJA4xMXpFQV+N1W5JQomL7zJ792G6yglpbawOAtmAB3pYAwdYMcrqbrltuJnriGkiPguyB5kNmP3jbWhEFmRmHg0+Bo6xjjpRN85jHPP45MU8k/APh83hJjwrZ/p077mRcFzfxWiemF6xbwvmtX8FILGfDgpV8aOOymrfVhSRJLA4JA6Zbdn0XOdtFYtflrI2ePMM7Z0bE78FMd+KV6uhP9ZPt/Az+zhsZyw7WPLYbdTahj9MzlnAenRsiocHfhJVt5K/DP0RSk/isLv7tyI/MydgA69uXgp6fYMxFb30hZFnirDXChHNNZ23S70JIksTSsOjZ3JN4DoBz17bPqq3BRWtYrGQnjAls28Y/8i5SBy+iJVR7Ue7zpvFEn2R76l6S2SxpMw6SkVPKzBbNER+y7wBbU//L4z2Ps31QuHXXOq6LRqcd5Yndw9z1vDC2bIvVXlxIkoScXENyz/s4ofUMtmZvxb/oh+xJ1h71KkkSKkJd8uS+A/QlxLUvpNZ2/F18jFC7/GHHw0hInLf0PJLj4rHD2muPOwyqMYCcmeqJbafUPCYUGomKoqInJXqbs9LQnIwfzRkuGrnHNHnuSMOLV72l6P+BOSASFkTEfTBjjwJgS6JwCc0xkfDJo6/AyjTRYJw6p+MuihYTppYenTOzRQZ3wAu3iH/HZqfwKkJBsQ9gG6LVo+ZkhcKxM2N49txOqD1NpCuNtqJ2I0e5oR1vTBwXI7fehhY2UP0mUo0GuQBKu2gFNeIm9iM/xEyL+ULNigRArRPXouz+fYROfh0LP7iBxkMnIFQ7Kbn4qktYeNIw2tgTSKoKPc+LJ5oPAbWG31NWYPnp4t93/7sgJ2BekTCPefw/jnki4R+I9QvrkCaES/6f9vyJuClWc9qCNeZCA1855yT+cOm3+dnbzkeeo5gvF9ed82nU9GEgGRyQbwJbpSlQu+Ih7FPB9rCEd+ceU8NbMG295rFDmrhxJ/Rx7tohjNjmakU45PXga70TW+vGMkKc1/ZpvLVGRBVAkiQalTW5/89FtN9kfP6c1dz/8ZPYsKTG/s9JOLb1OAC0hodB0muKHwXoiIjts7FIGkky44dijK+jPlC7Ikb2xPG138ZB+VYe3PcI4ZVXEVp+dc5fY7ZoDntRQ1sY0G7muuev47eDH8Pb/AeO6orVvM0AjWExkfv2n7cRzxgcu7ieN67rmJOxA/qxmKklJLIGcesgamAvGXtsTsZu9ovr3G93/o6hlOjhjWixmsY8d207fo9C777j+Oy6H/LvR/57LqbxsBr9EQAinvz22bbERYeeXfOYIKJNAbodImFLXLQfjNnb5mR8N7lhLKWzVv0k+vihbKiv3evCxfHtxxOU82TnXLQ2LK4Tx4chjWNZFkiCBAnPMZFwZOcifvfG33HXpdfM6bgLog25tBYAv1RPLDAH1+5MHG55m1gZXngcHHFp7WMWtDZYmQyJHU4EszHNeyqFLwqSs5r/6FdZ8NphOq76DHLD7JVpLqRYJwtPGqLudWto/c+PsfTsfpaf14c0BwbN2mFHIQc0zIzC4M1/xMw636Gh9nuk2ijOlfGHXsTT0kyw3cZXZ9Tc2gAgrb0QkGD3X2F4V55ImK3RYiFO/zKEWqD/ZfEH5omEecwZ9uzZgyRJ3HjjjbnHNm3aNKsW5F/96ld8+9vfLvucJEls2rRpdhtZAx555BE2bdrE6Ojo3/VzfvCDHxTtw7835omEfyB8HoUj29ZiZprIWvmc4gXRljkZf2lTaM5JBICWcISfnv09zLFjyA6cipVtxqfVvrrvrtDK2SVcsuqS3OPe2cQVTULUJRLMUZ4duwOAjW0X1DwugE/Tsc0gVjZG+sBbOWPVLHKaZ8BhdYJwsowwK5X3zPn4Po/Ckqa5S2xwceayE3L/XtS5j7U1Kh46o/lV5d2ju4lnxEw3UmOxD7A41oFtKdhShv98+KMASLan5nOoJeLLpTY81fcUlpRC8e/l2CVzo/5wDTJtW0QJfu+t6+ckNhDycaGprEkaoQzyyHMzcfz3oz+EbSuMTnjZNybi2+od74TZIuzz8Ia1Ql3z4As+ekdUXjwoiqK5IBKi3vz2yZnlrGycfZxuIVwFidvasDQgzpt25YQp31MNXEXC9v44UnoF6YNvJ+adO9JQkRUuWvZ+MoMnk9z/LpbHDq15zGUNgkiQlCSP7u7FzjZg6VEi3jlsD3CwtClEeI4UQi5iAQ3byF+v2kJttXvy2Db87iMw8AqEWuEtN84uzm8yckTCIHJBmoI+OgcxxrIChef12kvg6MtqHxeEcaHfovX8Fcge55one2AOvI+UUJDWK78MwOBLTuucBEq09utIYM1KZI+F7LbNxcX1by6IBGILYZmjlHrm59D9nPh3LUaLLsKtcOHPitsZ5uL4m8c8psBll13Go48+WvX7piMSHn30US67bI6uQVXgkUce4corr5wnEuYxtzhxWRPG6FEAaGYn8R2foCU89wXdXOPwzga+fOImskOvAyBQY+8xFKY2GHx47eVYmWYsPUpjoPYJb9Qrbv4j5nZMeQTLCPOhIy+ueVyA+kAYS68j3XsBXnM5aztjczJuIV7XdTy2LSOrE1jy+JyP//fCisZW7In1WNl6Lj38lJon0u11Acy0INr+vOeJnCFnaA6IhM5oHcm978dILM49JlO7skTEP+aLHzPTTEvqgyysnyMiwTEn9CgSP3jbeprCc6eG8Tvn9V17bibJPudz5mbieOaS1/G6wLfIDm1kLCMUCc1zcK67qpc/bu7l7O88xGA8gywJL5BacWhsA4ldHyO55wOs0i6eE7NWEIkkkG9tODr0AVIHL+KI4LvmZHyXSPjJQ7v523ZBCM2Fj0YhPnjUW2Dk9ZjxVTQFao9RbAs3gi1hZRp52w0Pktj1CRI7Pk19oPbf8f8CPo+CZIpttfQoi6JzQDo9+j146Q5RyF34M1HYzQXc3ytZ3EqjzZUjvzt+6xo457/npNAHIOIor8YOwth+8e85XCGPnHMO4dNFy0u0K8nidzQjKbXPdbwrDmHFG3tZ/pEu8UBiDokEgPXvFH8/90voeU78u23d3Iy9cAOc8dX8/+cVCfMAUqnU32Xczs5ONmzYMPMLq8CGDRvo7Oyc0zH/X8Y8kfAPxgnLGtDH14EtkVUOgGTPqXP+3xMXrF/AFWes4shFdRyzpPY2AVd+O5HWeWxnnMSuy/H2fI6OaO1Geg3+fNFmJJYSyZwyZ4Vc2KeijxyPmVjBMYvr0dS5P62OWtiGmVyEbSmkpYNzPv7fC5Ik8YHVn+No9RtccvSKmsdrj/pI7f//CA99kj8+LLw/jl1cT2AOTNI66/ycvvQYwiOXow18CCV1OCe1vGXmN84An0fBj5jwq3aM1L738Jqli2oe18VZa9o4vDPKf71lLesX1raiPxmuIsG28+TBHIkdAHjXBjG5lZQktq3QHq6dSFi3IMYF6ztoDntzf959wmL8c6Caagk1YGVaMVNdHNtReyyti3ZHkdA3nsa0bO5/eRRjfB1r22uXfwOcc3gbixuDuf2xqjXMa5bXXuwXwudR+NDGpRy7uJ5D58CPQpZk6jwL8MbPpNEfozns5c1Hds7Juf5/BY8tjmd95Di6GuaAAIktAi0EZ34NFh5b+3guCj0SRvez+IwBmo8YI3rxO+Zm/KMvg0UnwEW/AM8ctqZEHSJhYAvc8X7x72Vz41sC4v7VeuVVdFz5Sdrfsgrf6XOkBlxwLJIM8sGHId4PCdHWOmdEwoozxVjxPkEOSQq0rJ6bsQGOeS+c+B/Q9RponyOC4p8cVjI59Z9MpvLXOuabs3ltLXBbCP7/7d15fAz3/wfw1+zm2NyRRCKRkMQRIom6grgSiriJI6i6jy96aSmqBEUIrZailzqKuo9faWhEEm3dqoqg6og7IUGEkOv9+yPN1mY3yc5mJ8nwfj4e+2h397Pv/WS8Znb2szOfOXXqFMLCwmBraws7OzsMGjQI9+7d02jr6emJrl27Yvv27WjQoAFUKhVmzZoFALh79y7GjBkDd3d3mJmZwcvLC7NmzUJOjuZ5Urdv30a/fv1gY2MDOzs7hIeH4+5d7QmAizq1YcOGDWjevDmsra1hbW2N1157DStXrgQABAcHY8+ePUhKSsq/Ate/twK6Tm04e/YsevTogUqVKkGlUuG1117DmjVrNNrEx8dDEAT8+OOPmDZtGtzc3GBra4vXX38dFy9eLHH5Tpo0CQDg5eWl7lN8fLy6zaZNm9C8eXNYWVnB2toaHTt2xKlTpzTqXLlyBf3794ebmxvMzc3h4uKCdu3a4c8//wSQ/29z7tw5JCQkqN/D09Oz2L6Vlnw+kV9S9dzsYGPigKzHvgAUEEBGnTlfauNDamJ8iHEmc1QfkfAsBxuPXQdggr6Nqhs8i/uLnCzzv2BRnikyr49Cn2ZGmKDqX9bm/33JalHDuDvnBdwrWcD0wQCk31ChauMakryHVN5qW8totVztLUA5tridAtzGYzhZm+GL/sbZkREEAV+9WXC1jdcBjDVKXQBwUdXA1WtjkJddGZRjrXHJzdKq7WKD/3urpdHqvajgS1uAXXvswBIAgJPKOIfzA/lf+n1cbHDlfluYOhyCl33p53YQBAGf9Xut9J3T4cUreNRzM97EpJWtzaEQgJw8wt6zd3H53hNYmCrVp2mUVmNPB8RNDDZKreK893ptvGfEOQs3dP8aT7KfwMfBx3hFy5BKcEAGAMHkETyMccUG3+6Ae2PAxnjrIID/rtrwPB048T1UlbKhatAMcC794C8AoOno/Jux2f77q2LB+fr21YFuXxj1LUwqVYJt+DDghbmbSs3FF6jaOP/qB3+sBf6dI8YYky0CAEzMgNcGAr//uywq1zHuAI4gAK9HGK/eS+Biw6Kv1GXVpjWqff21+v7fLVqCivgF37JJE1T/Ya36/j/tXkfugwc626r8/OC1dYvO5wzVq1cv9OvXD//73/9w7tw5TJ8+HYmJiTh69ChMTf/7/Pvjjz9w/vx5fPzxx/Dy8oKVlRXu3r2LwMBAKBQKzJgxAzVq1MDhw4cxZ84cXLt2DatWrQKQf/TC66+/jtu3byMyMhK1a9fGnj17EB6u37w9M2bMwCeffIKwsDB88MEHsLOzw9mzZ5GUlAQg/9D+0aNH4/Lly9ixY0eJ9S5evIigoCA4OztjyZIlcHR0xLp16zB06FAkJyfjww8/1Gj/0UcfoUWLFvjuu++Qnp6OyZMno1u3bjh//jyURRyxNHLkSKSlpWHp0qXYvn07XF3zt+G+vvkDfPPmzcPHH3+MYcOG4eOPP0ZWVhYWLlyIVq1a4dixY+p2nTt3Rm5uLqKiolCtWjXcv38fhw4dUp8usWPHDvTp0wd2dnZYvnw5AMDcXNrvlLIaSMjIyMDHH3+MzZs3Iy0tDXXq1MGUKVPQv79xDlEvD0qFgOY1HLHv3CAA+SNmjjI5IsHYCuZIePg0Cwl/54+Ahjcxzhd+ZytHZKcHgHItAOShRU0jfWADGlchMOYXxBcJggB/Fy/8/jjVKJfDlCtXu/8mcVMqBCwb2FA9431F5mJrjn9S8k+ZUAgw+qSWUik4ImH7ybtQpUbgQe5l1GhY+vPfCwiCgP6BHvgkxg15yV3g7WikQ7Ul8uJAgjGvcGKiVMDFVoU7j57h8/35Eyx2q+9q9PP25cbdRt6Hn1ZVvI6Tl/1B2XbGGUgAAFvjHKWiQWWfPyEi5QHH83/VQ6Ohxn8fY7N7YeDRRAWE//DfoEhF12hI/kDCkRX59wWF5lwSpdVwyH8DCcaYaJG9EsLCwhAVlT/xbIcOHeDi4oI33ngDmzdvxhtv/Dexa0pKChITE1G79n+Djf/73//w4MEDnDt3DtWq5Z9i2K5dO1hYWGDixImYNGkSfH19sWbNGpw/fx67du1C9+7d1e+VmZmJb7/9ttj+Xb16FfPmzcMbb7yBdevWqR9v3769+v99fX1hb28Pc3NzvU6LmDlzJrKyshAXFwcPj/zvHJ07d8bDhw8xa9YsjBkzBnYvzI3i6+ur8d5KpRL9+vXD8ePHi3w/d3d39TJp0KCBxlECN27cQEREBN566y0sWbJE42+qVasWZs2ahU2bNiE1NRUXL17E559/jkGDBqnbhYX9N99bgwYNYGFhAVtbW6OfElIUWQ0khIWF4fjx45g/fz5q166NDRs2YMCAAcjLy8PAgQPLu3sGa1HTCfvOJQPIv3Z7aS6PJ2cFRyT8e9o7mno5GG0CwMpWtnh2Kz8jCgFobsQvcs62+aN9lf89ZFgqDTwq4fd/UjW+zLxqVKZKuNmpcPvRM0zrXBdNZfKF3Nnmv8EO/6p2svk3dPp3voVDl1MBWADwg72lcUe3ezWoigV7PZGdRXCvZNwZ+Y2tim3+v6OzjTncjDyA5WqXP5BwKSUDAEp9hRNW/ipbOoOy8gAA1Yw1kCAFhQKwcACe3geeP8r/Qluna3n3qmTWLoCZDZD1OP9IBGNMKFhW6oUBe6fmL3Mgfx4JhXEuSQ0AcKwBeLXOv3qDexPj1WU6+fxxsugnC/1KXfv334puW2jumpqx+/VuawwvDhYAQL9+/TBkyBDExcVpPBcQEKAxiAAAu3fvRkhICNzc3DROZejUqRMmTpyIhIQE+Pr6Ii4uDjY2NupBhAIDBw4scSAhJiYGubm5GD9+vKF/opYDBw6gXbt26kGEAkOHDkV0dDQOHz6M0NBQ9eOF+x0QkH+aY1JSkkFf3vft24ecnBwMHjxYY7mpVCq0adMGcXH5V5pzcHBAjRo1sHDhQuTm5iIkJAT169eHQoIciCGbb6w///wzYmJi1IMHABASEoKkpCRMmjQJ4eHhRR5SUtG9+Cu2k7W50SbwkhsrMxMohP8GEgYYcUf6xUv4+Ve1g50xLsP1rxqVrbE4vD48Ha0kuUpGgVGtvOFkbYZu9SX4RUpGlr3REDceZKJbgJEP75WQ8wsTIAZJdNSKFN5pWwtVbFV4/u915V3tLBDoZdxf/OwtzbB+ZFM8yszWGHCpiDydrPB5+Guo5mhp9O20q70FcP0hAMDHxQYNPOyNWp+VvRcv91jVvmIPksHS8b8vtfUHAKYVe10EkP/Fe8CPwLNHQF0ZDHy8yNwa8O8DnFydf99Y8yO8qNc3wMU9QINBJbdlpaKw1H+gUKq2xlCliuZRgSYmJnB0dERqquZErAWH5r8oOTkZP/30k8YpEC+6fz9/+5KamgoXF+2r0xV+b10K5msw5mSJqampOv8et3/nKCr8tzsWugRswakDhk44mZyc/0Nykya6B/wKBgoEQUBsbCxmz56NqKgofPDBB3BwcMAbb7yBuXPnwsZGuh8yiyObgYQdO3bA2toafftqTn42bNgwDBw4EEePHkVQUFA59a50vJ2sUMVWhbvpz17Z0xoAQKEQYKMyxaPMbNiqTBDqZ7zDnF+cx0CKL3K9Gkh/CK6dpSmGtvAqueFLrkG1Smhg5EkFpfbilRRaymggoYqdCu+0M94cF0VpVF0mhyMD6Nmg9PM46PLiEQ7hTTxe2QHll4m9Zf7neRVbFVRGuLKRpKycgPv/ThjW0EiTLJYFr1bl3QPDNRz8wkCCBJ8Ltq7Gu9QmeyXcvXsXVav+9xmXk5OD1NRUrS/Puj6fnJycEBAQgLlz5+qsXfDF3NHREceOHdP53iWpXDl/wO3mzZtaRxAYytHREXfu3NF6/Pbt2wDy/y4pFdTfunUrqlcvfiLu6tWrqyeV/Pvvv7F582b1qRlfffWVpP0simwGEs6ePYu6devCxESzywWHlJw9e7bIgYTnz5/j+QuzpqanV6zL5wmCgKCajtj+xy1ZTbQoBRuVCR5lZiOsobtRd7xePCJBqgkRGSuK87+HxJuZKNCourwGQVjZKLgEpJmJAmENpRmsYGXL/t9TmCr0aQ0FCuYWcA8EnOuWb19eFW4NARd/IPmM8SZaZKwU1q9fj0aN/ps4cvPmzcjJyUFwcHCJr+3atSt+/vln1KhRA5UqFb2fExISgs2bN+P//u//NE4T2LBhQ4nv0aFDByiVSqxYsQLNmzcvsp25ubneRwi0a9cOO3bswO3bt9WDHQCwdu1aWFpaGm2ugaKOXOjYsSNMTExw+fJl9O7dW+96tWvXxscff4xt27bhjz/+0HgfqS7HqYtsBhJSU1Ph7e2t9biDg4P6+aJERkaqL01SUfVp5I6dp24hqIY8zvmWSlMvR6Rn3sWbzY13eTwgf9I4HxcbZDzPQWNP/iLHylaj6pXUs/BX+F8mWbloXsMRSoWAN5tVV/+SzeTtNQ97KBX5PxRUeJ6tgAt7gFbvl3dPXh2CALT+ANgyLH/5M1bOtm/fDhMTE7Rv31591Yb69eujX79+Jb529uzZiImJQVBQEN555x34+Pjg2bNnuHbtGn7++Wd89dVXcHd3x+DBg7F48WIMHjwYc+fORa1atfDzzz9j3759Jb6Hp6cnPvroI3zyySfIzMzEgAEDYGdnh8TERNy/f1/9Xc/f3x/bt2/HihUr0KhRIygUCjRu3FhnzYiICPX8DjNmzICDgwPWr1+PPXv2ICoqSmOixdLw9/cHAHzxxRcYMmQITE1N4ePjA09PT8yePRvTpk3DlStXEBoaikqVKiE5ORnHjh2DlZUVZs2ahb/++gtvvfUW+vbti1q1asHMzAwHDhzAX3/9hSlTpmi8z8aNG7Fp0yZ4e3tDpVKp31sSJBO1atWi0NBQrcdv375NACgyMrLI1z579owePXqkvt24cYMA0KNHj6TssmjPsnPKuwvlLi8vjzKzpFkOz7JzeBmzcpOdk0s5uXnl3Q1WgWVm5VAuZ+Sl8vhZdnl3QX9ZT8u7B68mXu4VwqNHj4r8bpCZmUmJiYmUmZlZDj2TXkREBAGgkydPUrdu3cja2ppsbGxowIABlJycrNG2evXq1KVLF5117t27R++88w55eXmRqakpOTg4UKNGjWjatGmUkZGhbnfz5k3q3bu3+n169+5Nhw4dIgC0atUqrX4VtnbtWmrSpAmpVCqytramBg0aaLwuLS2N+vTpQ/b29iQIgkYNABQREaFR78yZM9StWzeys7MjMzMzql+/vkY9IqK4uDgCQFu2bNF4/OrVq1r9LsrUqVPJzc2NFAoFAaC4uDj1czt37qSQkBCytbUlc3Nzql69OvXp04f2799PRETJyck0dOhQqlOnDllZWZG1tTUFBATQ4sWLKSfnv+82165dow4dOpCNjQ0BoOrVq5fYr8LE5F0gIpJumMJ4mjdvjtzcXK3zas6dOwc/Pz98/fXXGD1av+sUp6enw87ODo8ePYKtra0U3WWMMcYYY4zJQHHfDZ49e4arV6/Cy8sLKpUMJiIVaebMmZg1axbu3bsn+ZwArOITk/fyvWaECP7+/jh//rzGpTEA4MyZMwAAPz+/8ugWY4wxxhhjjDH2SpHNQEKvXr2QkZGBbdu2aTy+Zs0auLm5oWnTpuXUM8YYY4wxxhhj7NUhm8kWO3XqhPbt22Ps2LFIT09HzZo18eOPP2Lv3r1Yt24dlEqewIwxxhhjjDHG9DVz5kzMnDmzvLvBZEg2AwlA/myi06ZNw4wZM5CWloY6dergxx9/RP/+/cu7a4wxxhhjjDHG2CtBVgMJ1tbW+OKLL/DFF1+Ud1cYY4wxxhhjrwiZzE/PWKmIybls5khgjDHGGGOMsbJUcPp0dnZ2OfeEMekVXNjAxKTk4w14IIExxhhjjDHGdDA1NYW5uTkePXrERyWwl156ejqUSqVe8w/K6tQGYynYCKSnp5dzTxhjjDHGGGPlqeA7QVEDBU5OTrh16xZu3rwJOzs7mJqaQhCEsuwiY5IiIjx58gTp6elwdXXVK9+v5EDC48ePAQAeHh7l3BPGGGOMMcZYRfD48WPY2dlpPW5rawsAuH//Pm7dulXW3WKsTAiCAHt7e53rgM729Aoeo5OXl4fbt2/Dxsam3EcT09PT4eHhgRs3bqg3UhW9thz7zLXLri7Xfnlqy7HPXLtsa8uxz1y77Opy7ZentpR9rgiICI8fP4abmxsUiuLP/M7OzkZubm4Z9YyxsmNqaqrXKQ0FXskjEhQKBdzd3cu7GxpsbW0l2zBLVVuOfebaZVeXa788teXYZ65dtrXl2GeuXXZ1ufbLU1vKPpc3fX+FNTU1hampqcS9Yazi48kWGWOMMcYYY4wxpjceSGCMMcYYY4wxxpjeeCChnJmbmyMiIgLm5uayqS3HPnPtsqvLtV+e2nLsM9cu29py7DPXLru6XPvlqS1lnxlj8vRKTrbIGGOMMcYYY4wxw/ARCYwxxhhjjDHGGNMbDyQwxhhjjDHGGGNMbzyQwBhjjDHGGGOMMb3xQAJjjDHGGGOMMcb0xgMJTDaysrKwZMkS3L59u7y78tLLzMzE+fPn8fDhw/LuCmMMvE4y9jLLyspCcnIy7t27h7y8vPLuDmOM6YUHEmRi79698Pb2Lu9uaLh27Rpu3ryp8diuXbuwcOFC7Nixw+gfhpmZmZgwYQIuX75s1Lq7du3C1KlTMW3aNOzevdugGpcvX8aZM2c0HouJiUHr1q1hbW0NW1tbdOzYEceOHRNde/PmzUhPTzeoXyX54osv0KBBAzRv3hzbt28HAKxZswYuLi7w8/ND5cqVMWbMGOTm5hr8HkSEf/75B0ePHsXx48eNNhB04cIFzJ8/H4MGDUKnTp3QuXNnDBo0CAsWLMCFCxeM8h5FKc36eOjQIWzatAlnz57V+fytW7cwe/Zs0XUfPHiA1atXY926dXj69CkAIDk5GRMmTECXLl3w3nvv4caNGwb1WZeMjAw0bNgQf/zxh9Fq3rlzBxMmTEDz5s3RokULTJw4EcnJyUarf+XKFWzduhXbt283eFlERUXh0qVLRutTYVKvk7GxsRg3bhxatmyJunXrol69eujQoQPmzp2LO3fuGFQzOzsbX3/9NUJDQ+Hu7g4LCwtYWlrC3d0doaGh+Pbbb5GdnW1QbX2kpqbi4MGDol937949zJs3D2PHjsWyZcvU682Lzp8/j7Zt2xqjmxrvK8WXxfT0dDg4OODQoUNGqWes9VHKz8fOnTvju+++Q0ZGhujX6uv06dO4ePGi+n5eXh5++OEHTJ48GV9++SXS0tIMqvvo0SNMnz4dvr6+sLKygpubG6pUqQJra2u0b9/e4P2RF925cwf79+/Hpk2bsHnzZuzfvx93794tdd3iXL9+HWvXrpX0PRhjFQQxWdi6dSspFArRr0tMTKRRo0ZRaGgoTZw4kW7evKnV5tSpU+Tl5aV3zSdPnlD79u1JoVCQQqGgQYMGUW5uLvXo0YMEQSBBEEihUFCrVq0oMzNTVH+7detW5K1Tp04kCAIFBQVRt27dqHv37qJqd+rUiS5evKi+n5mZScHBwaRQKDT63b59e8rKyhJVu23btjR16lT1/T179pBCoaCqVavSwIEDacCAAeTm5kbm5uZ05MgRUbUFQSArKysaMmQI/frrr6JeW5wffviBBEGgunXrUtOmTcnU1JQ2bNhApqamNGTIEPryyy9p4MCBpFAoaMWKFaLrX7lyhQYNGkTW1tbqrBTcatSoQUuXLqW8vDzRdbOzs2nMmDGkVCpJEASqXLky+fj4kI+PD1WuXJkEQSClUkn/+9//KCcnR3R9fRiyPj579ky93hRkrU+fPvTgwQONdkeOHBFdOykpiVxdXdU5rlu3Lt25c4d8fHzI1NSUqlevTkqlkqpUqaJzG1CU1NTUIm9XrlwhQRDop59+Uj8mhoWFBR0/flx9//r16+Tq6kpKpZLq1q1LderUIaVSSR4eHnT37l1Rtb/99ltatmyZ+n5WVhYNGjRInT9BEMjExITeffddUXWJSP1v16ZNG/rhhx9Eb+OKI+U6mZmZST169NDY3gmCQKampur1xsbGhjZu3CiqbkpKCgUEBJAgCOTj40N9+/alMWPG0JgxY6hv375Up04dEgSB6tevT/fu3RNVW1+GrI937tyhqlWrqrMgCAJ5enpqZJLIsPWRiGj9+vXUpk0bateuHUVHRxMR0caNG8nR0ZEUCgU5ODjQV199JbruyZMni7wlJCSQIAj07bffqh/Tl5Tro9SfjwqFgqytrWnEiBF0+PBhUa8vTmpqKjVs2FC93ejZsydlZWVRx44dNdYhNzc3UdtVIqIbN26Ql5cXCYJAjo6O5Obmpl4fe/ToQXXq1CGFQkHjx483qO8HDx6kZs2aaWzzCpaVQqGgoKAgo+5PvMjQ/VXGmPzwQEI5S0hI0Os2a9Ys0RvmS5cukY2NDZmZmZG3tzcplUqyt7enn376SaOd2B2lOXPmkJmZGU2ePJkWLlxIrq6uNGLECLKzs6NNmzbR1atXaeXKlWRpaUnz5s0T1WdBEMje3p48PT21btWqVSOFQkFVqlQhT09PUYMfBbWPHj2qvj9t2jQyNTWlTz/9lJKTkyk5OZkWLFhAJiYmNH/+fFG1HR0dNZZr48aNqV27dvT06VP1Y0+ePKFWrVrR66+/Lrrf/v7+6h2A2rVrU1RUFCUnJ4uqU1hgYCANHDhQfX/hwoVkZWWl9eVqzJgx1KhRI1G1z507Rw4ODmRubk6NGjWioKAgsrW1JVNTUxo1ahR16NCBTExMqHv37qK/7M+aNYvMzc1p3rx5dOfOHa3n7969S5GRkaRSqWj27Nmiaku5Pi5YsIAsLCxo0aJFdPDgQYqIiCBLS0uqW7cu3b59W93OkC8uo0ePJjc3N4qOjqbjx49Ty5YtqXnz5uTj46Pewb106RJ5eHiI2jEtPABU+PbijqnYPhdeHwcPHkyOjo507Ngx9WOHDx+mSpUqid6ZrlevHi1fvlx9f8qUKWRiYkITJkygX375hfbt20fvvPMOmZiY0GeffSa63x06dCAbGxv19mrcuHGivrQVRcp1curUqWRubk6RkZF05swZ+vvvv2nlypVUpUoVWrp0Kd25c4cmTJhAJiYm9Pvvv+tdd+jQoeTu7k6HDh0qss3hw4epWrVqNGzYMFF91pchX1zGjh1LHh4edOLECSIiiouLo7p165K1tTXFxcWp2xmyPv78888kCAK5u7uTn58fmZub086dO8nMzIw6depEERER1KZNG1IoFOpBBn0VXudKWjfF1JVqfZT683HKlCnqHwUUCgX5+vrSZ599VuqBq/fff59sbGwoMjKSli9fTtWrV6fw8HByc3OjuLg4ysjIoF9++YVcXFxozJgxomoPHDiQ3NzcNAY+/vnnH2rWrJl6Pdm1axeZmprS6tWrRdWOjY0lU1NTqlevHkVGRtKePXvo8OHDdPjwYdqzZw9FRkZSvXr1yMzMjA4cOCCqtj54IIGxVwcPJJQzqXYKiIjeeOMN8vX1VX9JuXz5MgUHB6t/5SogdkepXr16FBERob4fHR1NgiBQZGSkRrsPP/yQGjRoILrP1tbW9Pnnn2v9Wv3gwQMSBIESEhJE1SxQeEepRo0a9M4772i1Gzt2LNWvX19UbXNzczp48KD6vpmZGf38889a7Xbu3EnW1taiahf0+9q1azR9+nSqVq0aCYJAZmZmFBYWRj///LNBv+zb29vTvn371Pfv379PgiBQbGysRru9e/eSvb29qNrdunWjOnXqUFJSkvqxhw8fUteuXalbt25ElP/LmpWVFS1evFhUbS8vL1q0aFGJ7RYuXEienp6iaku5Pvr7+2sNbJw+fZo8PDyoZs2adOPGDSIy7IuLt7e3xi/Uf/zxBwmCQCtXrtRo9+mnn1LNmjX1rlvwZWj69Ok0c+ZMjdvkyZNJEAQaOnSo+jExCq+PLi4uFBUVpdVu7ty5ogcNraysNHaQC/6GwiZPnkx16tQRVbug30+ePKGVK1dSUFCQOg8NGjSg5cuX08OHD0XVLCDlOlm9enWaM2eO1uPR0dFkY2NDz549IyKisLAw6ty5s951nZycND5PirJ+/XpycnLSv8NENGzYML1ubdu2Fb3O1KxZk7799luNxx4/fkyvv/46WVpaUkxMDBEZtj62bduWQkNDKTs7m4iIZsyYQfb29hQeHq7RrkOHDtSpUydRtc3MzMjd3Z2WLl1Kq1ev1rgtW7ZM/cW64DF9Sbk+lsXnI1H+Ps5HH31E7u7uJAgCmZubU79+/TTWKTFq1Kih8flUcMRH4SNJlixZImq7SpS/3nz//fdaj58+fZpMTEwoLS2NiIg++OADCgwMFFW7efPm1KtXr2IH6XNycqhXr14UFBSkd92QkBC9bn5+fjyQwNgrggcSypmVlRX16NGDtm7dWuztgw8+EL1h9vT0pPXr12s8lpOTQ4MHDyYTExNas2YNEYnfUbKystLYsU1PTydBECg+Pl6j3e7du0XvFBS8zt3dnZo2bUpnzpxRP/7w4UOjDiSYmJjo/DXop59+IktLS1G1a9eurXEodaVKlWjPnj1a7Uq7o0RElJeXR9HR0dSnTx8yNzcnhUKh/qJ09epVves6ODjQ3r171ffv3btHgiBo7XTt2bOHHBwcRPXZzs5O5yHSly5dIoVCoT6aYtasWRQQECCqtrm5uV4ZSEhIIJVKJaq2lOtj4V86C1y9epU8PT3J29ubrl27ZtAXF5VKpbFMMjMzSRAErV+JY2JiRC2TmJgY8vLyokaNGtGpU6c0njP2+qhUKrW2IURE+/fvJ3Nzc1G1bW1tNXJszNqF+01EdOHCBZo4cSK5uLiQIAhkaWlJb775puhlI+U6aWZmpjUgQfTfv+PZs2eJiGjTpk2ialtaWtL+/ftLbLd//37R21VBEEilUpG1tXWxNwsLC9HrjIWFhcaX2wLPnj2j0NBQsrCwoOjoaIPWR2dnZ9q5c6f6/u3bt9WnAb3oxx9/pMqVK4uqfe7cOWratCl5eHjQ7t27NZ4rzTop5fpYlp+PRES5ubm0e/du6tWrF5mZmZFCoaDq1avTrFmzRNW2sLDQWAYZGRkkCAL99ttvGu3i4uLIwsJCVG2VSkW//PKL1uNpaWkkCIJ632f37t1kZWUlqrZU66QgCOTs7Ex+fn7F3gqOHmWMvfx4ssVyFhAQgNzcXPTu3bvYW/PmzUXXTk5OhoeHh8ZjSqUSa9asweDBgzF8+HB8//33ousqFAqNiaIsLS0BADY2NhrtrKyskJOTI7p+ly5dcO7cOfj5+aFx48aYPn06srKyRNfRRRAE9f/b2trCwsJCq41KpQIRiaobHh6OyMhIJCUlAQD69++P+fPna0zelZGRgQULFqBJkyYG9j6fIAgIDQ3Fli1bcOvWLSxatAj29vaYM2cOatWqpXedunXravz7f/vtt7Czs8OWLVs02m3atAk1a9YU1cesrCzY2dlpPW5nZwciwr179wAATZs2FT1xnZeXF2JiYkps98svv8DT01NUbSnXR2tra50Tgnl6eiI+Ph55eXkIDg7GlStXRNe2tLTE48eP1fdNTU0BAObm5hrt8vLyYGJionfd119/HWfOnEGzZs3QrFkzTJ06Fc+fPxfdv6Kkp6cjLS0NaWlpcHZ2xrNnz7TaPHv2DGZmZqLqNmjQQGOispo1a+L8+fNa7RITE+Hg4CC+44X4+Phg4cKFuHnzJrZt24aQkBD8+OOPCAkJEVVHynWyatWqOHHihNbjx48fhyAI6uXg4uKCzMxMvevWr18fy5cvL3byQCLC8uXL8dprr4nqs5ubG4YPH47Hjx8XezNkYjcXFxfcunVL63Fzc3Ps2rULbdq0Qa9evbBnzx7RtR89eqSRK2dnZwCAq6urRjs3NzfRV+Hw9fXFoUOH8M4776Bfv34YMGAA7t+/L7qPuki1Ppbl5yOQv4/SpUsXbN++HTdv3sSCBQtgYWGBWbNmiapTuXJljUlZC/pfeJLpGzduoHLlyqJq161bF9u2bdN6fMuWLVAqlep9N5VKBYVC3K66paWl+jO2OCkpKer9N314enqie/fuOHPmTLG3Tz/9VFR/GWMyVs4DGa+8sWPHUtWqVUtst3XrVhIEQVTtmjVrFnto4/Dhw0mpVNLIkSNFjR77+PjQN998o/HYxo0btQ7nXbt2Lbm7u4vqc2EFv4j6+PjQrl27SKFQlOoX0Jo1a5K/vz/5+/uTpaWlzsmuvv76a/Lw8BBV+8mTJ9S4cWOysbGhESNGUGRkJNnZ2ZGzszP17NmTevbsSZUrVyaVSiXq/OOCfhf+xUWXI0eO0OjRo/WuW5ApLy8v8vf3JxMTE9q1axfZ2NhQt27daPbs2dS5c2dSKBRah8iXpEWLFtS7d2+txz/55BNSqVT05MkTIiLat2+f6EO0lyxZQgqFgsaOHUtHjx7VOM82MzOTjh07RuPGjSOlUklLly4VVVvK9TE4OJgmTpxY5PPXrl0jT09Pg35dbdCgAS1cuFDjsbt372od2rpixQqqVauWqNoFDh48SLVr16aaNWvSgQMHjHJEQuFTRgqfHkWUf4pK7dq1RdXeuXMnKZVKWrRoET179ozWrVtHjo6OtHnzZnr48CE9fPiQfvzxR6pUqRKNHTtWdL/1WR9v3boleo4YKdfJ6dOnk6WlJX3++ed08eJFunbtGq1fv57c3d01Dm9eu3atqIzExMSQqakp+fn5UVRUFEVHR9PRo0fp2LFjFB0dTVFRURQQEEBmZmZ6/Ur6oq5du+p16LUh52T37NmT3nzzzSKff/78uXqCX7G13dzcaPPmzer7eXl5FBoaSv/8849Gu+3bt5Ojo6Oo2i/6+++/qXXr1uTo6EirVq0q9REJUq2PFeHzkYiKncdDl0GDBlGNGjUoLi6OTp48ScHBwRQUFET+/v7qo+pu375N9erV0/l5V5x169aRIAjUs2dP+vrrr2n16tU0atQoMjc3p8GDB6vbLV26VPQpokOGDKFq1aoVu1yOHTtG1atXp6FDh+pdNywsjBo3blxiO54jgbFXBw8klLNz586pTzEoztOnT+natWuiag8YMIB69uxZbJsRI0aI3lHq378/9e/fv8R2gwYNEn1lBV0yMjJo/Pjx6p0bQ7+4tGnThoKDgzVuus6bDg0Npa5duxrUz3fffZesra01ZnQuuAUFBYnekSESt6Mk1sqVK6lly5YUEhJC27dvJ6L8c6YLZpC2sLCgDz74QHTdvXv3qs8Znzp1Ks2cOVN9xYIX6y1cuJCaNWsmuv6cOXPUX7gVCgVZWFiQpaWlxv25c+eKrivl+jhnzhxydnbWGPgoLCkpiby9vUXvhE2bNo3eeuutEtu1a9dOYydVrMzMTPrggw/I1NSUwsPDS7U+Fp5zYebMmfTDDz9otatfv77GBIT6ioyMJKVSSVZWVtS4cWOytbXV+qLUqFEjratmlETK9ZFIunUyKyuLwsLCNL4wCoJAtWrVosuXL6vbRUVFiZ6kND4+npo0aaL1ZbRg29e0aVOdh8mXZNq0aXod1p2QkEDBwcGian/77bdUtWrVYifke/78OXXt2lX0oGH79u1pwoQJJbabMWMGNW3aVFRtXZYuXUo2NjYUFBRk8Dop9foox8/Hf/75R32VDYVCQZ6ennTnzh1q0qQJmZubk7e3N5mZmZFKpaI///xTdP0lS5aQvb29ehkolUoaPHiweqCdiGjbtm0ap8noIyUlRT1PQd26dSk8PJzGjh1L48aNo/DwcPL19SWFQkF+fn6UkpKid93FixfrNafMiRMnRA1QMMbkSyASeQw3k40dO3ZgwYIF2L17N5ycnIps9/bbb2P37t24evWqXnWfPn2K7OxsnYeuv+ibb76Bv7+/QYeB63Ls2DGcP38enTp1Uh8qKoXffvsNrq6uqFGjhkGvz8zMxMmTJ3Hr1i3k5eXB0dERAQEBqFKlikH1Zs2ahVGjRsHNzc2g1xsqOTkZlSpVEn0Ya4Fdu3Zh8uTJ+PvvvwEADg4OGD9+PGbMmAGlUgkASEhIgJmZmUEZSUtLQ3R0NM6dO4fU1FQAgKOjI/z9/REaGopKlSoZ1G+pPH78GNevX4e3t7fOU2oK3Lt3D4mJiWjTpo3R+3DmzBm4uLiUev05duwYhg8fjsTERMTHx6N169ZG6qFxnTx5El9++SV+/fVXrfWxd+/eGDZsmKhTPQBgzZo16Nq1KxwdHSXqddFKu04CwNGjR/H7778jKysLvr6+6NSpk/pUmNK6ffs2zp49q7E++vn5lfm2q7zFxsYiNTUV/fr1K7Zdz5490bJlS0ycOLHU75mUlITx48fj3Llz2LRpEwIDA0tdUwrG/nxMSkqCq6trqdaJ4ty/fx+7du2CqakpevbsCVtbWzx8+BDz58/H6dOn4ebmhvHjx6Nhw4YG1c/KysLZs2eRlZUFHx8fo31uZWVl4bvvvsPOnTu11kl/f3/06tULw4cPl2y5McZeDTyQwBiTVFpaGrKysuDi4qIxRwVjjDHGGGNMnnggoYJ4+PAh9u7dqx45Lpj8ys/PD6GhobC3ty/vLhYpKysLDx48gCAIsLe3N8oId1HLw9/fHx07diz18rhz5476l+wXl7Whv4qUVW0pyDl75SU1NRXnzp2rsL/Ev0zu37+PxMREXtYv4GVSdrKzs3Hnzh1Uq1atvLtSIfDyKFu8vBljFVp5nlfB8kVGRpKVlZX6PDlzc3MyNzdX37eysqL58+cbXP/8+fMUGRlJb7zxBoWGhlKnTp3ojTfeoPnz59P58+cNqnn//n2aMmUK+fj4kFKpVJ9DqFQqycfHhz766CO6f/++QbWlXB4HDx6kZs2aaZ3DW3A/KCiIfv31V6PWLqhfmtpZWVn01VdfUceOHalq1aqkUqnIwsKCqlatSh07dqRvvvmGsrKyRNeVY/b0lZCQQCEhIZLUlnIyKTnWPnHiBA0bNszodYmkXR5JSUl6zYlhiFcpf4mJiTRq1CgKDQ2liRMn0s2bN7XanDp1iry8vAzq0++//04bN27UuBzwi27evCn60n5ERD/88APVqlWLVCoVNW7cWOvyjETiL4/8oqysLLp79y7l5eXpfD49Pd2g+QyePXtG69evp/nz5+vsMxHR5cuXRa+TUi4PKTPC+dPt6tWrdOPGDY3Hdu7cSVFRUbR9+3bKzc0VXfPvv/+miIgImjNnjno5JyYmUs+ePcnX15d69OhBf/zxh0H9ZYzJDw8klLOlS5eSQqGg0aNH0+HDhzUm2Xny5AkdOXKExowZQ0qlUuM6zPrIzs5Wv1YQBKpcuTL5+PiQj48PVa5cWT25z//+9z+t2d2Lc+XKFapatSqZmZlRx44dadKkSRQZGUmRkZE0adIkCg0NJXNzc/Lw8KArV66I6rOUyyM2NpZMTU2pXr16FBkZSXv27KHDhw/T4cOHac+ePRQZGUn16tUjMzMzOnDgQIWpnZKSQgEBASQIAvn4+FDfvn1pzJgxNGbMGOrbty/VqVOHBEGg+vXrFztxWGFyzJ4YFe3L1stcW4595trGqX3p0iWysbEhMzMz8vb2JqVSSfb29lpfigz5QvTs2TP1JK0FA7J9+vTRmiDTkNoHDhxQbzeHDx9OtWrVIoVCQR9++GGpaxPlX6HG2tqaFAoFubi40JdffqnVxpDaDx8+JD8/P41B6qZNm2pN/iq2tpTLQ8qMcP60PXnyRN1vhUJBgwYNotzcXOrRo4dGblq1akWZmZl61z137pzGZJmurq504cIFqlKlCrm4uFCbNm3IwcGBrK2tJf+hgDFWMYibZYoZ3bJlyzBlyhTMnTtX6zlLS0s0bdoUTZs2haOjI5YuXYpx48bpXXvevHlYvXo1PvnkEwwbNkzr0Prk5GSsWrUKs2bNgpubG6ZPn65X3YkTJ6JSpUo4dOhQkYfbXb9+HV27dsWkSZOwdetWvfss5fL4+OOP0bVrV/V1mgvr3LkzJk2ahL59++Ljjz/G77//XiFqf/jhh0hLS8Pvv/9e5KSER44cQXh4OD788EON69AXR47ZA/KzpQ99rqNd2PDhw/VqV3A9cTH0vdb98ePHK1RtqUi5rKXE+dM0c+ZMeHh4YP/+/XB1dcWVK1cwYsQIhIWFYc2aNRgwYIDovhb44osv8NtvvyEqKgqBgYGIjY3FwoULERQUhNjYWLi6uhpce968eejSpQt27doFhUKB3NxcREREYN68eXj8+DGWL19ucO1t27ZhxowZ6NKlCwIDA3HgwAG8/fbb+PXXX7Fu3TrRE3y+aP78+bh9+za2bNmiXiZTp05F8+bNERMTg3r16hlUV8rlIWVGOH/aFi9ejISEBEyaNAlOTk747LPPMHr0aMTHx2Pjxo0amVy8eDGmTp2qV91PPvkEVatWxc6dO+Hk5ISRI0eiZ8+e8PDwwIEDB2BtbY379++jdevWmD9/PlavXm3w38AYk4nyHsl41Zmbm+t1aGNCQgKpVCpRtb28vGjRokUltlu4cCF5enrqXdfe3p527NhRYrvt27eTvb293nWJpF0elpaWel3HfP/+/WRpaVlhajs5OdGGDRtKbLd+/XpycnLSu64cs0ek+3rnxd3E1lapVGRtbV3sreDSk4b0W9elzwrfKkptMcu5Ii3rkJAQvW4Fl0gT2285LhOpMuLp6Unr16/XeCwnJ4cGDx5MJiYm6lNHDPll1d/fX+tSlKdPnyYPDw+qWbOm+rBtQ2q7uLjQ7t27tR7/9ttvSalU0siRIw2u3aJFC63TCr799lsyNzen7t27q09DM6R23bp1afHixRqP3bx5kwICAqhy5cp0+vRpg2pLuTykzAjnT1u9evUoIiJCfT86OpoEQaDIyEiNdh9++CE1aNBA77rVqlWj1atXq++fP3+eBEHQ2j9ZsWIFVatWTVSfGWPyxEcklDNXV1ecOHGixEmzjh8/Lnqyvtu3b6NJkyYltgsMDBT1i3BOTk6xl68rYGFhgZycHL3rAtIuD0tLS71+JUxJSYGlpWWFqf306VO9Ltfn4uKCp0+f6l1XjtkDADMzM7Ro0QKdO3cutt1ff/2FdevWiart5uaGHj16YNmyZcW227p1K8LDw0XVtrOzQ5cuXTBhwoRi2xX8wlgRaiuVStSvXx/NmjUrtt3ly5exb98+vesC0i7r+Ph4VK5cucT1Jj09XVRdgPNXWHJyMjw8PDQeUyqVWLNmDUxMTDB8+HDk5OQY9Ev51atX0apVK43HAgICcPDgQYSEhKBNmzY4cOCA6LpA/nbVyspK6/GRI0dCqVRi1KhRyM3NxahRo0TXPn/+vNZ2beTIkahatSp69+6Nnj17YseOHQb1OykpSetSg1WrVkV8fDxef/11tG3bFjExMaLrSrk8pMwI50/btWvXND7XW7RoAQBaRzS2bt1a1JEPycnJ8Pb2Vt8v+P/Cl8r28fHB3bt3RfebMSZD5T2S8aqbOXMmWVhY0IIFCyg5OVnr+eTkZIqKiiILCwvRk/nUqVOHPv744xLbTZs2jerUqaN33Xbt2lFwcDBlZGQU2SYjI4PatGlD7du317sukbTLY8iQIVStWjU6evRokW2OHTtG1atXp6FDh1aY2s2bN6ewsLBiJ0bKy8ujsLAwCgoK0ruuHLNHRNSoUSMKCwsrsZ0h55F37dpVr2VoSO02bdpQhw4dZFXb39+f+vfvb/S6RNIuay8vL/UvesXZsmWL6NqcP001a9bU+JWysOHDh6t/YRXb5ypVqhQ5meC1a9fI09OTPD09acOGDQb92vz5558X+fz3339PSqWSGjduLLq2vb19kUeo7d27lywsLKhjx44UHx8vura7uztt27ZN53MPHjyghg0bkoODg3oOHH1JuTykzAjnT5uNjQ3FxMSo7+fk5JAgCHTy5EmNdnFxcaKONnRycqJdu3ap7+fm5pJKpaJTp05ptNuzZw/Z2tqK6jNjTJ54IKGcZWdnqz/gCiZlqlu3Lvn6+pKLi4v68VGjRomelG7JkiWkUCho7NixdPToUXr69Kn6uczMTDp27BiNGzeOlEolLV26VO+6J0+eJFtbW3J2dqZx48bRihUraNOmTbR582ZasWIFjRs3jqpUqUK2traiZ++VcnmkpKSoD2WuW7cuhYeH09ixY2ncuHEUHh5Ovr6+pFAoyM/Pj1JSUipM7ZiYGDI1NSU/Pz+Kioqi6OhoOnr0KB07doyio6MpKiqKAgICyMzMTK/TKwrIMXtERCNHjtRr9u2tW7eSIAiiak+bNo2srKxKbJeQkEDBwcGiar/77rvk7OxcYjtD+i1V7cGDB5OPj4/R6xJJu6zDwsKocePGJbYz5As550/TgAEDqGfPnsW2GTFihEGn7AQHB9PEiROLfL7gy5whp3qMHz+eAgMDi22zatUq9VWJxGjUqFGxV7spGEzw9vYWXTs0NJTGjh1b5PMFgwli+y3l8pAyI5w/bT4+PvTNN99oPLZx40Z6+PChxmNr164ld3d3ves2a9ZM61QPXT7//HOqV6+e3nUZY/LFAwkVxLlz52jOnDk0YMAA6tChA3Xo0IEGDBhA8+bNo3Pnzhlcd86cOeoPOYVCQRYWFmRpaalxf+7cuaLrXrhwgfr27UuWlpZa59daWlpSeHg4XbhwweB+S7U8nj9/TsuWLaP27duTq6srmZmZkZmZGbm6ulKHDh1oxYoV9Pz58wpXOz4+npo0aaJ1fnbBMm/atCnFx8cbVFtu2fvtt9/0OkLi3r17Bi8TKdy8eVOy/khVe/fu3TRixIgS2yUlJRX7q2BZW7x4sV5Hupw4cUL0EUKcP03bt2+npk2blnjFmLfeekv0fChz5swhZ2dnjYHIwpKSkgz6Qn7y5EmaOHFiif3evHmz6Ix88MEH5OvrW2ybffv2GfQF9NNPPyVbW1tKS0srss2DBw+oSZMmompLuTykzAjnT1v//v31OpJs0KBB1L17d73rLlmyRGPuhaIEBgbS6NGj9a7LGJMvgYiovE+vYNJKS0tDdHQ0zp07h9TUVACAo6Mj/P39ERoaikqVKhlcOzc3F5cvX9aoW6NGDZ1XLmCld/v2bZw9e1Zjefv5+cHNza2ce6ablNljjL3cHj9+jOvXr8Pb27vYeXnu3buHxMREtGnTpgx7V7RLly7hl19+wYABA+Dg4FBku99++w2xsbGIiIjQu3ZeXh4yMzNhYWEBhUJRZLtnz54hOTkZ1atXF9V39h+55u/p06fIzs6GnZ1dse2++eYb+Pv7F3k1KEOlp6dDpVLBzMzMqHUZYxUPDyRUYAcPHkSjRo10TsjzKuLlUXZ4WWvjZVJ2eFlr42VSdnhZa+LlUbZ4eTPG5KLo4WxWrnJzcxESEoKLFy9KUn/t2rV48OCBUWvm5eWhbdu2uHTpklHrAtIuj9zcXCiVSvzxxx+yqk1EGD58uN7XtdeXHLMHcP7KsrZU2QM4f7rIMX9y3PYBnL/C5Jg9qWtz/jRJue1jjFVsPJBQgUl1sEhubi6GDRuGq1evGrUuESE+Ph6PHz82at0X60tFjrXz8vKwevVq3L9/3+i15ZY9gPNXlrXz8vKwZs0aSbIHcP6Kqi8VqWpLue3j/GmSMn9yzJ6UtTl/mqTe9jHGKi4eSKjABEGQrLYcz2iRcnkwTZw9bZw/TVL+O3L+tHH+NHH+yg5nTxvnjzHGeCChQpPrB5VU+AOw7HD2tHH+yg7nTxvnr+xw/jRx9soW548xJhcm5d0BpptSqcTVq1clm41fig8qhUKBIUOGwMnJyei1pVweSqUSq1atgpeXl6xqC4KANm3awMbGxqh15Zg9gPNXlrWlyh7A+dNFjvmT47YP4PwVJsfsSV2b86dJym0fY6xi46s2MMYYY4wxxhhjTG98REIFcOPGDWzfvh0qlQr9+/eHnZ0dbty4gZkzZ+Ls2bPw8PDAu+++i1atWpV3V0t07do1nD9/Hu7u7vD39zeohtTL4/Tp01CpVPDx8QGQP3HS+vXr1bUHDhxY7LW/y6u2LpmZmbh27RpcXV1hb28v+vUvU/YAzl9Z5q+02QM4f7rINX9y2/YBnL/C5Jo9qWvrwvnTZIxtH2NMhoiVq3PnzpGdnR0JgkCCIJCXlxclJSWRt7c32dvbU+PGjcnW1pZMTU3p2LFjousfP36c3nvvPZo6dSpdvnyZiIj+/PNPatu2LTk7O1PDhg1pw4YNomrm5ubSe++9R/b29lSlShVavHgxERF98sknZGJiQgqFghQKBXXs2JGePn0qqraUyyM1NZUaNmyo7l/Pnj0pKyuLOnbsqH4/QRDIzc2Nbt68WWFqExF9/vnn9Nprr1GzZs1o27ZtRES0evVqsrGxIYVCQSYmJjR69GjKycnRu6Ycs0fE+Svr2lJkj4jzp4sc8yfHbR8R568wOWZP6tpEnL8XSbntY4zJEw8klLO+fftSrVq16PDhw5SYmEjt27en1157jQIDA+nhw4dERHT//n1q0KABdevWTVTtQ4cOkampKQmCQEqlkpycnOj06dNUuXJlqlWrFvXp04e8vb1JoVDQvn379K67ZMkSEgSBOnbsSP369SNzc3NatGgRmZubU0REBO3evZs++ugjMjU1pXnz5lWY5fH++++TjY0NRUZG0vLly6l69eoUHh5Obm5uFBcXRxkZGfTLL7+Qi4sLjRkzpsLU/uGHH0gQBKpbty41bdqUTE1NacOGDWRqakpDhgyhL7/8kgYOHEgKhYJWrFihd105Zo+I81eWtaXKHhHnTxc55k+O2z4izl9ZLg85bvuIOH+FSbntY4zJEw8klLOqVavSunXr1PfPnz9PgiDQli1bNNqtX7+e3N3dRdXu1KkTNW7cmO7cuUMZGRk0YMAA8vT0pI4dO1J2djYRET1//pyCg4Opbdu2etcNCAigd999V31/7dq1ZGpqSjNmzNBoN3nyZPL39xfVZymXR40aNdQj6ERECQkJJAgCffXVVxrtlixZQjVr1qwwtQMDA2ngwIHq+wsXLiQrKyuNfwMiojFjxlCjRo30rivH7BFx/sqytlTZI+L86SLH/Mlx20fE+StMjtmTujbnT5OU2z7GmDzxQEI5s7S0pPj4ePX9jIwMEgSBfv31V412cXFxZGlpKaq2i4uL+lA8IqKrV6+SIAj0008/abTbtm0bValSRe+61tbWFBsbq77/8OFDEgRB4+8gIoqJiSEbGxtRfZZyeVhYWOis/dtvv2nVtrCwqDC17e3tNX41uH//PgmCoPFvQES0d+9esre317uuHLNHxPkry9pSZY+I86eLHPMnx20fEeevMDlmT+ranD9NUm77GGPypCjvORpede7u7jh58qT6/vHjxwEAp06d0mj3xx9/wN3dXVTtjIwMjcmFHB0dAQC2trYa7ezt7ZGRkaF3XUtLSzx58kR9/+nTpxr/ffFxCwsLUX2WcnlUrlwZN27cUN9PSkoCANy8eVOj3Y0bN1C5cuUKU1uhUGhcsqng/3NycjTa5ebmQqHQf5WWY/YAzl9Z1pYqewDnTxc55k+O2z6A81eYHLMndW3OnyYpt32MMZkqvzEMRkT00UcfkbW1NUVERNCnn35K7u7uNHr0aHJycqLt27fT9evXafPmzeTo6EjvvPOOqNp+fn4ah5zt3LmTlEolzZ07V6NdREQE1atXT++67du3p3bt2lFmZiYREb399ttUtWpV6tmzJ+Xl5RERUV5eHnXu3Jlat24tqs9SLo9BgwZRjRo1KC4ujk6ePEnBwcEUFBRE/v7+lJycTEREt2/fpnr16lHv3r0rTO0WLVpQv3791PfnzZtH9vb2NHLkSI12gwcPpsDAQL3ryjF7RJy/sqwtVfaIOH+6yDF/ctz2EXH+CpNj9qSuzfnTJOW2jzEmTzyQUM7S09OpdevW6pl7e/XqRdnZ2TRixAgSBIEUCgUJgkCenp7qD0V9RUVFkYmJCQ0ZMoTefvttsrW1pYiICLKysqLPPvuMDh48SFFRUWRpaUnTp0/Xu+6BAwdIqVSShYUF2dnZkYWFBR06dIhcXFyofv36NHz4cAoICCCFQkE7duyoMMvjn3/+IUdHR/XMwp6ennTnzh1q0qQJmZubk7e3N5mZmZFKpaI///yzwtTeunWrelZnf39/MjExoV27dpGNjQ1169aNZs+eTZ07dyaFQkErV67Uu64cs0fE+SvL2lJlj4jzp4sc8yfHbR8R568sl4cct31EnL/CpNz2McbkiQcSKoh//vmHkpKSNB6Ljo6m+fPn09q1aykjI0N0zefPn9Obb75JJiYmZGZmRu+99x4R5V+qp+BDVxAECgwMpPT0dFG1Y2Ji6I033qBhw4bR0aNHiYjoxIkT1LRpU1KpVOTt7U1Lly4V3ecCUiwPIqJ79+7Rd999R2vWrKFHjx4REdGDBw9o8uTJFBoaSsOHD6eTJ09WuNorV66kli1bUkhICG3fvp2I8peHm5sbCYJAFhYW9MEHHxhUW27ZI+L8lWVtKbNHxPnTRW75k+u2j4jzV5jcsid1bc6fJqm3fYwxeRGIXjgBjL2UsrKyoFAoYGJion7swoULOH36NNzc3NCyZUsIglCOPWSlkZycjEqVKsHMzKy8u6KFs/dyq8jZAzh/LzvOHytPnD/G2KuOBxIqkLy8PFy5cgWpqakQBAEODg7w9vYWPYnPy4KXR9nhZa2Nl0nZ4WWtjZdJ2eFlrYmXR9ni5c0YkyuTkpswqV26dAkzZszATz/9hMzMTI3nLCws0KNHD0RERKB27doGv8edO3dw7tw5jQ8qPz8/VKlSxeCaFy5cwM6dO3H27Fmtuj179kSdOnUMqivl8sjOzsb333+PHTt26Ox37969MXToUJiamlao2gDw8OFD7N27V2ft0NBQ2Nvbi64p1+wBnL+yrC1F9gDOny5yzJ8ct30A568wOWZP6toA568wqbZ9jDH54SMSytmpU6cQHBwMc3NzhIWFISAgQH3ZnrS0NPz111/YsWMHnj9/joSEBNSvX19U/V9//RUffvghjh07BgAalzISBAHNmjXDggUL0LJlS71r5uTk4K233sJ3332HvLw8ODk5afT5/v37UCgUGDVqFL788ksolUq9a0u5PO7du4fXX38dZ86cQe3atbVqnzlzBhcvXkRAQAD2798PJyenClEbAObPn485c+aoL7NUcChlVlYWgPzLMk2fPh2TJ0/Wu6Ycswdw/sq6thTZAzh/usgxf3Lc9gGcv8LkmD2pawOcvxdJue1jjMlUOc3NwP7Vvn17atWqVbET3hTM7tuhQwdRtWNjY8nU1JTq1atHkZGRtGfPHjp8+DAdPnyY9uzZQ5GRkVSvXj0yMzOjAwcO6F131qxZZG5uTvPmzaM7d+5oPX/37l2KjIwklUpFs2fPFtVnKZfH0KFDyd3dnQ4dOlRkm8OHD1O1atVo2LBhFab20qVLSaFQ0OjRo+nw4cP05MkT9XNPnjyhI0eO0JgxY0ipVNKyZcv0rivH7BFx/sqytlTZI+L86SLH/Mlx20fE+StMjtmTujbnT5OU2z7GmDzxQEI5s7a2pujo6BLb/fzzz2RtbS2qdvPmzalXr16Uk5NTZJucnBzq1asXBQUF6V3Xy8uLFi1aVGK7hQsXkqenp951iaRdHk5OTrRhw4YS261fv56cnJwqTO06derQRx99VGK7jz76iOrUqaN3XTlmj4jzV5a1pcoeEedPFznmT47bPiLOX2FyzJ7UtTl/mqTc9jHG5IlncilnJiYmeP78eYntsrKyNGbe1cfp06cxfvz4Yg8vUyqVGD9+PP7880+9696+fRtNmjQpsV1gYCDu3r2rd11A2uXx9OlTODs7l9jOxcVFfRhjRah99epVdOzYscR2HTt2xLVr1/SuK8fsAZy/sqwtVfYAzp8ucsyfHLd9AOevMDlmT+ranD9NUm77GGPyxAMJ5SwkJATTp0/HzZs3i2xz69YtREREoG3btqJqW1pa4t69eyW2S0lJgaWlpd51vby8EBMTU2K7X375BZ6ennrXBaRdHvXr18fy5cuRl5dXZBsiwvLly/Haa69VmNqurq44ceJEie2OHz8uagIlOWYP4PyVZW2psgdw/nSRY/7kuO0DOH+FyTF7Utfm/GmSctvHGJMnvmpDOfv000/RsmVL1KxZE23btlVPuCMIAlJTU3HmzBkcOHAAjo6O2LFjh6jaXbp0weTJk+Ht7Y3AwECdbY4fP46pU6eia9euetcdN24c3nvvPaSmpmLo0KHw9/eHhYUFAODZs2c4c+YMVq9eja+//hqff/65qD5LuTxmz56Nzp07o379+hg8eDD8/f21aq9btw4XLlzAzz//XGFqDx06FB9//DFycnIwdOhQrV9fUlJSsGbNGkRERGDKlCl615Vj9gDOX1nWlip7AOdPFznmT47bPoDzV5gcsyd1bc6fJim3fYwxmSq/sypYgXv37tGkSZOoVq1apFAoSBAEEgSBFAoF1a5dmyZPnkz37t0TXTclJYX8/PxIoVBQ3bp1KTw8nMaOHUvjxo2j8PBw8vX1JYVCQX5+fpSSkiKq9pw5c8jCwoIUCgUpFAqysLAgS0tLjftz584V3Wci6ZYHEVF8fDw1adJEXa/gVvAeTZs2pfj4+ApVOzs7m0aOHKmu5+LiQnXr1iVfX19ycXFRPz5q1Khiz4nURY7ZI+L8lVVtKbNHxPnTRY75k+O2j4jzV5gcsydlbc6fNim3fYwx+eHLP1Ywz549w4MHDwAAlSpVgkqlKlW9rKwsfPfddxrX/AUAR0dH+Pv7o1evXhg+fLj6kkZipKWlITo6Wn2N4hfrhoaGolKlSqXqO2D85VHg9u3bWsvDz88Pbm5uFbZ2YmIiduzYoXN59+jRA76+vqWqL6fsAZy/sqwtdfYAzp8ucsufXLd9AOevMLllT8ranD9NZbHtY4zJAw8kMMYYY4wxxhhjTG882SJjjDHGGGOMMcb0xgMJjDHGGGOMMcYY0xsPJDDGGGOMMcYYY0xvPJDAGGOMMcYYY4wxvfFAQgVy/fp1ZGdn63wuJycH169fL+MesVcFZ4+VJ84fK0+cP1aeOH+MMbnigYQKxMvLC6dOndL53OnTp+Hl5VXGPaoY9u3bh6lTp2LUqFHqD9Tjx4/j3r175dyzlwdnr2icP+lx/orG+ZMe5083zl7Z4PwxxuTKpLw7wP5T3JU4c3NzIQhCqd8jJSUFSUlJyMzM1HqudevWBtW8du0aNm/erLOuIAhYuXKlQXWfPn2KHj16IDY2Vv23jx07FtWqVcOiRYvg4eGBRYsW6V2vbdu2ercVBAGxsbGi+6zP+4itffDgQTRs2BDW1tY4ePBgie0N+XeUa/YAzp/Y9xFTuyyyB3D+dJFj/uS47QM4f4XJMXv6vA/nTx77fowx+eCBhApG1wfG8+fPER0dDScnJ4Pr3rlzB2+++Sbi4uK0niMiCIKA3Nxc0XX37NmDsLAw5ObmwtnZGebm5hrPl+YDcNq0aThx4gS2bduG9u3bw9bWVv1chw4dsHTpUlH18vLyNPpz8eJF3L17F9WrV0eVKlVw9+5dJCUlwdXVFT4+Pgb3u/D7AMD9+/dx8eJFODs7o3bt2qLqBQcH48iRIwgMDERwcHCRy7Q0/46A/LIHcP70eR/A8PyVVfYAzl9hcsyfXLd9AOfvRXLMnq73ATh/ctz3Y4zJBw8klLNZs2Zh9uzZAPI3vM2aNSuy7ciRIw1+n7feegunTp3CggULEBAQoLXRN9S0adPQokULbNy4Ec7OzkapWWDLli345JNP0KtXL60PumrVqok+bzA+Pl79/3v37sWoUaPw+++/o3nz5urHDx06hPDwcEycONHgfr/4Pi/6+++/0aNHD0RERIiqFxcXB19fX/X/G4vcswdw/kp6nxcZkj+psgdw/koix/zJZdsHcP6KI8fsFX6fF3H+5LXvxxiTD4GKO6aKSS46Oho///wziAjLly9Hnz594OLiotHG3Nwc/v7+GDhwIExNTQ16HycnJyxcuBDDhg0zRrfVrKyssH37dnTs2NGodYH8v3vv3r0ICQlBbm4uTE1NceLECTRs2BCxsbHo2rWrzsP09NG4cWOMHTsWI0aM0Hruu+++w7Jly4o8Z7E0vv/+e3z99dc4evSo6Nfm5ubi8uXLcHZ2hr29fan7IvfsAZw/sQzNn7GzB3D+SvKy5a8ibfsAzl9xXqR9PkkAABWdSURBVLbsAZw/Oe37Mcbkg49IKGedOnVCp06dAABPnjzBjBkzJJlYRxAEeHh4GL1u9erVkZGRYfS6AFC1alWcOXMGISEhWs/99ddfpVpO586dK3J5VKtWDRcuXDC4dnE8PT1x9uxZg15LRPD19cVPP/2kzkxpyD17AOdPLEPzZ+zsAZy/krxs+atI2z6A81ecly17AOfP2KTc9jHG5IOv2lCBrFq1SrLZefv27Yvdu3cbve5HH32ERYsW4enTp0avHRYWhrlz52r8OiEIApKSkrB48WL07dvX4NouLi7Ytm2bzue2bNmi9cuAsWzbtg1ubm4GvdbExARVqlRBXl6ekXslz+wBnD+xDM2flNkDOH+6vGz5q6jbPoDzV9jLlj2A82dsUm77GGPywUckVEBnz57F+fPndR46OHjwYINq9uvXD6NGjUJeXh66desGR0dHrTYNGzYUXffYsWNISUlBzZo1ERISolVXEAR88cUXBvU5IiICsbGxCAwMhJ+fHwRBwLBhw3D58mX4+PhgypQpBtUFgHHjxmHKlClIS0vDwIED1RM+rV+/Hjt27EBkZKTBtYcPH6712PPnz/HXX38hMTERUVFRBtfu378/1q5diy5duhhcozhyyh7A+dNFqvxJnT2A8/ciOeZPzts+gPNXQI7ZAzh/ushx348xJh88R0IF8vTpU3Tv3h0HDhyAIAjqSwK9OPutobMCKxT/HXxSeDbd0szc+2JdXUo7k3FmZia++OIL7NmzB8nJyXByckLXrl3x3nvvwdLS0uC6ADBz5kxERUXh+fPnAPKXg0qlwsSJE9WTIBnC09NTaxmrVCp4enrizTffxMCBAw2uvW7dOkydOhW1atVCWFgYXF1dtd4rLCxMdF05Zq9wbV04f/mMkT+psgdw/ooit/zJcdsHcP50kVv2AM6fLnLd92OMyQMPJFQgU6dOxZYtW7Bq1Sq0adMG27dvh42NDb766iucOXMGmzZtQv369Q2qvWbNmhLbDBkyxKDacvbo0SMcOnQIaWlpcHR0RLNmzYw2mZIUpPrw5uyVDznlT8odR85f+eD85eP8lT05ZQ/g/DHGmC48kFCB+Pr6YsKECRg+fLjGLMkAMHDgQNja2uKrr74q516y8pSQkFBimzZt2oiuy9ljJZEqewDnj5WM88fKE+ePMca08RwJFci1a9dQp04dKJVKCIKgMYnNG2+8gREjRlTYD5PY2FjExsYiNTUVTk5OaNeuHdq2bVuqmiW9XhAExMbGGlz/3r17+OyzzxAfH4/U1FTs2LED9erVw9dff43AwEA0aNDA4NpEhOPHjyMpKanU5zt++OGHeOedd+Du7q7eUcnLyyvxFxIx5Jw9gPNXmLHyVxbZAzh/usg1f3Lb9gGcv8Lkmj2A81fWpNj2McbkgwcSKhB7e3s8efIEAODs7IxLly6hZcuWAIDs7Gz1c4bQNQnRiwRBwMqVK0XXzcrKQu/evdXXQzYxMUFOTg7mz5+PLl26YNu2bQZf/zgvL0/rnL779+/j4sWLcHZ2Ru3atQ2qCwBXr15FixYt8OjRI9SvXx+XL19Wn6/5119/4ciRI1i1apVBtf/++290794dly5dgq4DfgRBELUz8+mnn6JPnz5wd3cHkH+upJmZGY4fP27wJF2FyTF7AOdPF2PmryyyB3D+dJFj/uS47QM4f4XJMXsA508XOe77McZkhFiF0aFDB/riiy+IiGjAgAFUs2ZN+vXXX+no0aPUoEEDatGihcG1q1evTp6enho3GxsbEgSBKlWqRF5eXgbVnTZtGpmamlJUVBSlpKQQEVFKSgotXLiQzMzM6OOPPza4z0W5ePEi1alTh+Lj4w2u0adPH6pbty7dunWLsrOzSRAEOnnyJBERbdiwgWrVqmVw7ddff52qV69OW7ZsoYsXL9K1a9e0bmIIgkBHjx5V38/JydHorzHIMXtEnD9djJm/ssgeEedPjIqcPzlu+4g4f/qqyNkj4vzp8jLt+zHGKh4eSKhANm3aRHPmzCEioitXrpCbmxspFApSKBTk4OBAR44cMfp7xsbGko+PD/31118Gvd7b25siIiJ0PhcREVGqnaTirFy5kgIDAw1+faVKlWjjxo1EpL1zEBcXR1ZWVgbXtrW1pU2bNhn8+sLKYmdGjtkj4vzpYsz8ldWONOdPnIqaPzlu+4g4f2JU1OwRcf7EkOu+H2OsYuFTGyqQfv36qf/fy8sLf//9N2JjY6FQKBAUFAQHBwejv2fbtm3x1ltv4d1338WBAwdEv/7mzZto1aqVzudatWpVqmtCF8fT0xNnz541+PXPnj0rcnk+efKkVOdAWltbw9bW1uDXlwc5Zg/g/OnC+dMP58/4+ZNj9gDOnxgVNXsA508Mue77McYqFh5IqMCsrKzQvXt3yd/H19cXU6ZMMei1lStXxpkzZ9CuXTut586cOYPKlSuXtns6bdu2DW5ubga/3sfHB/v370f79u21njt48CD8/PwMrj1s2DBs2LABoaGhBtco7OLFizAxyV9dCy4xdeHCBZ1tjXHuphyyB3D+dDF2/so6ewDnryQVNX8vw7YP4PwVp6JmD+D8iSXHfT/GWMXCAwkVVFpaGqKionD27FlUrVoV77zzDurVqyfJeyUkJMDJycmg13bv3h0zZsxAtWrVEBYWpn58165dmDlzJt544w1R9Q4ePIiGDRvC2tpa5yRBz58/x19//YXExERERUUZ1GcAGDVqFN5//324ubmp+5iVlYWtW7di+fLl+PLLL0XV2759u/r//f39sWHDBnTv3h3dunWDo6OjVvsXl5U+hg4dqvXYm2++qXGfiEp1LesCcskewPkrIGX+yjJ7AOdPbvl7mbZ9wKubPzlmD+D8lUZF2vdjjMmTQKRjaltWZiZOnIjNmzfj+vXr6seePHmCgIAAXLt2TT3zsI2NDY4dOwYfHx+D3mf27NlajxXsGERHR2PSpEkGHYr24MEDBAcH4+zZs7CyskKVKlWQnJyMjIwM+Pv7Iz4+Hvb29nrXUyqVOHz4MAIDA+Hp6ak1c7RKpYKnpyfefPNNDBw4UHR/XzR69Gh89913UCgU6ks6ERFGjRol+lJLCoUCgiCodyiKW63E7nCsWbNGVF+GDBmiVzu5Zw/g/BWQKn9SZQ/g/Okix/zJcdsHcP4Kk2P2AM5fSeSy78cYkyceSChnQUFBaNmypcYI/4IFCzB16lRMmDABERERSExMRO/evdGhQweDL4uk67xDc3Nz9Y7BpEmTDL5Uz/Pnz7F69WrExcUhNTUVjo6OaNeuHQYPHgxzc3PR/Txy5AgCAwMN6otYR44cwe7du5GSkgInJyd07doVQUFBouskJCSIal9wTery9DJkD+D8AZy/4nD+imaM/MkxewDnT1c/5ZY9gPNXErns+zHGZKrMpnVkOrm4uGjNMtyiRQtydnamnJwc9WOLFi0iT0/Psu5emSs8S7IxNWrUiCZNmkR79uyh9PR0o9ZOSEigx48fG7Wm1Dh72jh/ZYfzp02O+ZNj9og4f4XJMXtEnD/GGCtPhk+Py4zi4cOHcHV1Vd/PycnB8ePHERwcDKVSqX68QYMGuHPnTnl0scwVPqTSWB48eIBFixapz51s1qwZPvroI8TExODp06elqh0SEoLExEQj9bRscPZ04/yVDc6fbnLLnxyzB3D+dJFb9gDOH2OMlSeebLGcubi4aHxI/PHHH8jOzkbjxo012ikUCqMdKlbayXzatm2rd1tBEBAbGyuqfyEhIXpdAkoQBDx69EjvupcvX8atW7cQFxeHuLg4xMfHY/78+ViwYAFMTEzQpEkThISEICQkBEFBQVCpVHrXJhmeISTH7AGcP104f/rh/Bk/f3LMHsD500Vu2QM4f2JU9H0/xpj88EBCOWvUqBG+/fZb9O3bF4IgYP369RAEQeuSOhcuXNAYvdZHUZP5NGnSRGMyn40bN4qazCc+Ph62trbw8PAQ1R99BQcHS3bpoKpVq2LQoEEYNGgQgPxrIR84cABxcXFISEjA3LlzMW/ePJibm5f6l5KKTo7ZAzh/LwvOn26cv7LB+dPG2Ss7csyf1Ns+xpgMldtJFYyIiI4cOUJKpZJq1apFzZs3J0EQqHXr1lrtOnfuTIMGDRJVu3nz5jRp0iSNx+bPn0+CIND7779Pjx49osOHD5ObmxsNHTpU77o1atQgQRCoRYsWtHLlSsrIyBDVr+JIeZ5mcdLT0+mnn36iPn36kEKhIIVCIer1giDQsWPHJOqdNOSYPSLOny6cP02cP3FKkz85Zo+I81eYHLNHxPnTRY77fowxeeKBhApg9+7d1KZNG/Lz86NRo0ZRamqqxvN37tyhgIAA2rJli6i6Uk7mEx8fT2+++SZZWlqSjY0NjRgxgn7//XdRNXQpq52ZjIwMio6Opg8//JCaNGlCJiYmZGJiQo0aNaL333+fdu3aJaqeIAhkZWVFNjY2Jd5sbW0l+qvEk2P2iDh/hXH+NHH+imfM/Mk1e0ScvxfJMXtEnD9d5LjvxxiTJ77840tMpVIhJiYGrVq1ApA/mY+VlRV69uyJTZs2qdsdOHAAnTt3xrNnz0S/R3p6OjZs2IBVq1bh+PHj8PHxwfDhwzF48GC4uLiIriflJahiYmLU52ieOHECgiCgYcOGaNOmDdq0aYOWLVvC1tbWoNoKhQKdO3fW+7BQQy/lJBdlkT2A81eA86eJ86dNqvxx9rTJMX9yzB7A+dNFjvt+jDGZKu+RDCadatWqaYxKHz16lARBoKioKI12cXFxRhmpP3PmDI0fP55MTEwoLCzMoBpS/ioiCALZ2NjQe++9R/v27XspDkmuqMo6e0ScP87ffzh/umtLkT/OnjY55k+O2SuozfnTJMd9P8aYPPHlH19iBZP50L8HnRhzMp/Czp8/jzVr1mDr1q0gIlGTR70oLy9Pkl9EAMDf3x9PnjzBihUr8Mknn2D+/PnYv3//KzGxU1kry+wBnD+mifOnjfNXduSYP87ey0OO+36MMZkqrxEMJj0pJ/MhInr8+DF988031KxZMxIEgWrWrElz586lW7duGaP7kkhLS6MdO3bQu+++SwEBAaRQKMjMzIyaN29OU6ZMob1799Ljx49F1+VfRTRJnT0izt+LOH+aOH+6SZE/zp42zp823vaVHd73Y4yVFR5IeMlJMZlPQkICDR48mKysrMjS0pIGDx5M8fHxxu56mUhNTaVt27bR22+/Tf7+/qRUKsnU1JSaNm0qqg7vzGiTaiIpzp82zp82zl/JjJE/zp5unL/i8bZPWrzvxxgrCzzZIhNNoVDA1tYW4eHhGDBgQImTJDVs2LCMema4u3fvIi4uDlu3bsXOnTsBALm5ueXbKaYT54+VJ84fK08vW/44e/LxsmWPMVZ6PJDARFMo8qfWEASh2HZEBEEQKuROQXJyMuLj49W3v//+G0D+39awYUOEhIRg/vz55dxLpgvnj5Unzh8rT3LPH2dPvuSePcaY8ZmUdweY/Mj18klbtmxBXFwc4uPjcfHiRRARFAoF6tevjwkTJiAkJAStW7eGjY1NeXeVFYPzx8oT54+VJznmj7P3cpBj9hhj0uIjEtgrQ6FQQBAE+Pn5ISQkBCEhIWjTpg3s7e3Lu2vsFcD5Y+WJ88fKC2ePMcZeTjyQwF4Z27ZtQ3BwMBwdHcu7K+wVxPlj5Ynzx8oLZ48xxl5OPJDAGGOMMcYYY4wxvSnKuwOMMcYYY4wxxhiTDx5IYIwxxhhjjDHGmN54IIExxhhjjDHGGGN644EExhhjjDHGGGOM6Y0HEhhjjMnO6tWrIQiC+qZSqVClShWEhIQgMjISKSkpBtVNTEzEzJkzce3aNeN2mDHGGGPsJcIDCYwxxmRr1apVOHz4MGJiYrBs2TK89tprWLBgAerWrYv9+/eLrpeYmIhZs2bxQAJjjDHGWDFMyrsDjDHGmKH8/PzQuHFj9f3evXtjwoQJaNmyJcLCwnDp0iW4uLiUYw8ZY4wxxl4+fEQCY4yxl0q1atXw6aef4vHjx/j6668BACdOnED//v3h6ekJCwsLeHp6YsCAAUhKSlK/bvXq1ejbty8AICQkRH3axOrVq9Vt9u/fj3bt2sHW1haWlpZo0aIFYmNjy/TvY4wxxhgrbzyQwBhj7KXTuXNnKJVKHDx4EABw7do1+Pj44PPPP8e+ffuwYMEC3LlzB02aNMH9+/cBAF26dMG8efMAAMuWLcPhw4dx+PBhdOnSBQCwbt06dOjQAba2tlizZg02b94MBwcHdOzYkQcTGGOMMfZKEYiIyrsTjDHGmBirV6/GsGHDcPz4cY1TG15UpUoVODg4IDExUeu53NxcPHv2DC4uLpg3bx7eeecdAMDWrVvRt29fxMXFITg4WN3+6dOn8PDwQIsWLfB///d/6sfz8vLQsGFDmJub4+jRo8b9IxljjDHGKig+IoExxthL6cVx8oyMDEyePBk1a9aEiYkJTExMYG1tjSdPnuD8+fMl1jp06BDS0tIwZMgQ5OTkqG95eXkIDQ3F8ePH8eTJEyn/HMYYY4yxCoMnW2SMMfbSefLkCVJTU+Hv7w8AGDhwIGJjYzF9+nQ0adIEtra2EAQBnTt3RmZmZon1kpOTAQB9+vQpsk1aWhqsrKyM8wcwxhhjjFVgPJDAGGPspbNnzx7k5uYiODgYjx49wu7duxEREYEpU6ao2zx//hxpaWl61XNycgIALF26FM2aNdPZhq8OwRhjjLFXBQ8kMMYYe6lcv34dEydOhJ2dHcaMGQNBEEBEMDc312j33XffITc3V+OxgjaFj1Jo0aIF7O3tkZiYiLfeekvaP4AxxhhjrILjgQTGGGOydfbsWfV8BSkpKfj111+xatUqKJVK7NixA5UrVwYAtG7dGgsXLoSTkxM8PT2RkJCAlStXwt7eXqOen58fAOCbb76BjY0NVCoVvLy84OjoiKVLl2LIkCFIS0tDnz594OzsjHv37uH06dO4d+8eVqxYUdZ/PmOMMcZYueCBBMYYY7I1bNgwAICZmRns7e1Rt25dTJ48GSNHjlQPIgDAhg0b8O677+LDDz9ETk4OWrRogZiYGPWlHQt4eXnh888/xxdffIHg4GDk5uZi1apVGDp0KAYNGoRq1aohKioKY8aMwePHj+Hs7IzXXnsNQ4cOLcs/mzHGGGOsXPHlHxljjDHGGGOMMaY3vvwjY4wxxhhjjDHG9MYDCYwxxhhjjDHGGNMbDyQwxhhjjDHGGGNMbzyQwBhjjDHGGGOMMb3xQAJjjDHGGGOMMcb0xgMJjDHGGGOMMcYY0xsPJDDGGGOMMcYYY0xvPJDAGGOMMcYYY4wxvfFAAmOMMcYYY4wxxvTGAwmMMcYYY4wxxhjTGw8kMMYYY4wxxhhjTG//D06/roDpn+i3AAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 1000x300 with 1 Axes>"
       ]
diff --git a/lectures/17_natural-language-processing.html b/lectures/17_natural-language-processing.html
index b56bd78..2a8030b 100644
--- a/lectures/17_natural-language-processing.html
+++ b/lectures/17_natural-language-processing.html
@@ -500,7 +500,7 @@ <h2>Imports<a class="headerlink" href="#imports" title="Permalink to this headin
 Intel MKL WARNING: Support of Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2) enabled only processors has been deprecated. Intel oneAPI Math Kernel Library 2025.0 will require Intel(R) Advanced Vector Extensions (Intel(R) AVX) instructions.
 </pre></div>
 </div>
-<img alt="../_images/66fb019b907d7259341c9ab23de87acfbf2272d63a595e10951cb493079e5917.png" src="../_images/66fb019b907d7259341c9ab23de87acfbf2272d63a595e10951cb493079e5917.png" />
+<img alt="../_images/5a8499c8457bebcd85ed93f9b8c873e117cc6075056a72cb69b14d545ff786dc.png" src="../_images/5a8499c8457bebcd85ed93f9b8c873e117cc6075056a72cb69b14d545ff786dc.png" />
 </div>
 </div>
 <div class="cell docutils container">
diff --git a/lectures/19_time-series.html b/lectures/19_time-series.html
index b89d70e..8a6881f 100644
--- a/lectures/19_time-series.html
+++ b/lectures/19_time-series.html
@@ -1395,7 +1395,8 @@ <h3>Encoding time of day as a categorical feature<a class="headerlink" href="#en
 </div>
 </div>
 <ul class="simple">
-<li><p>What if we add interaction features (e.g., something like Day == 5 and hour == 9:00)</p></li>
+<li><p>The scores are a bit better now.</p></li>
+<li><p>What if we add interaction features (e.g., something like Day == Mon and hour == 9:00)</p></li>
 <li><p>We can do it using <code class="docutils literal notranslate"><span class="pre">sklearn</span></code>’s <code class="docutils literal notranslate"><span class="pre">PolynomialFeatures</span></code> transformer.</p></li>
 </ul>
 <div class="cell docutils container">
@@ -1790,16 +1791,14 @@ <h3>Encoding time of day as a categorical feature<a class="headerlink" href="#en
 </div>
 <div class="cell_output docutils container">
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Intel MKL WARNING: Support of Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2) enabled only processors has been deprecated. Intel oneAPI Math Kernel Library 2025.0 will require Intel(R) Advanced Vector Extensions (Intel(R) AVX) instructions.
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Train-set R^2: 0.87
+Train-set R^2: 0.87
 Test-set R^2: 0.85
 </pre></div>
 </div>
 <img alt="../_images/85412bb536ae0a97c3176419ba4ca35b40a9ec0b6e8f08c287256ec40504844e.png" src="../_images/85412bb536ae0a97c3176419ba4ca35b40a9ec0b6e8f08c287256ec40504844e.png" />
 </div>
 </div>
-<p>Let’s examine the coefficients learned by <code class="docutils literal notranslate"><span class="pre">Ridge</span></code>.</p>
+<p>The scores are much better now. Since we are using a linear model, we can examine the coefficients learned by <code class="docutils literal notranslate"><span class="pre">Ridge</span></code>.</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">features_nonzero</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">features_poly</span><span class="p">)[</span><span class="n">lr</span><span class="o">.</span><span class="n">coef_</span> <span class="o">!=</span> <span class="mi">0</span><span class="p">]</span>
@@ -2301,10 +2300,10 @@ <h3>Lag-based features<a class="headerlink" href="#lag-based-features" title="Pe
 </div>
 <div class="cell_output docutils container">
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Train-set R^2: 0.95
-Test-set R^2: 0.67
+Test-set R^2: 0.69
 </pre></div>
 </div>
-<img alt="../_images/b3593ccaf9f3e3a95cc55aeb81ff8ece760a3da6c315f3ff9a829f57bdbbb1cd.png" src="../_images/b3593ccaf9f3e3a95cc55aeb81ff8ece760a3da6c315f3ff9a829f57bdbbb1cd.png" />
+<img alt="../_images/7223e773cbadb77981275668076fd8b598d1896c8f8684dd0ed7e4433a5835f4.png" src="../_images/7223e773cbadb77981275668076fd8b598d1896c8f8684dd0ed7e4433a5835f4.png" />
 </div>
 </div>
 <p>The results are not as good as the results with our previously engineered features. How about combining lag-based features and the previously extracted features?</p>
@@ -2323,11 +2322,11 @@ <h3>Lag-based features<a class="headerlink" href="#lag-based-features" title="Pe
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Train-set R^2: 0.95
-Test-set R^2: 0.77
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Train-set R^2: 0.96
+Test-set R^2: 0.79
 </pre></div>
 </div>
-<img alt="../_images/d222baec77c4f3529c49f7f76fd3c193d0954df4b73bc82c4d50963815f74515.png" src="../_images/d222baec77c4f3529c49f7f76fd3c193d0954df4b73bc82c4d50963815f74515.png" />
+<img alt="../_images/5ba8227a9e8d225c25cd9b9c819610ec41de3ce74d40205ce41e2ce909254e6d.png" src="../_images/5ba8227a9e8d225c25cd9b9c819610ec41de3ce74d40205ce41e2ce909254e6d.png" />
 </div>
 </div>
 <p>Some improvement but we are getting better results without the lag features in this case.</p>
@@ -2428,36 +2427,36 @@ <h3>Cross-validation<a class="headerlink" href="#cross-validation" title="Permal
   <tbody>
     <tr>
       <th>0</th>
-      <td>0.000782</td>
-      <td>0.000268</td>
+      <td>0.000962</td>
+      <td>0.000299</td>
       <td>0.642676</td>
       <td>0.873182</td>
     </tr>
     <tr>
       <th>1</th>
-      <td>0.000537</td>
-      <td>0.000225</td>
+      <td>0.000655</td>
+      <td>0.000292</td>
       <td>0.828405</td>
       <td>0.874305</td>
     </tr>
     <tr>
       <th>2</th>
-      <td>0.001041</td>
-      <td>0.000754</td>
+      <td>0.000706</td>
+      <td>0.000265</td>
       <td>0.773851</td>
       <td>0.901262</td>
     </tr>
     <tr>
       <th>3</th>
-      <td>0.000965</td>
-      <td>0.000645</td>
+      <td>0.001002</td>
+      <td>0.000751</td>
       <td>0.696712</td>
       <td>0.889429</td>
     </tr>
     <tr>
       <th>4</th>
-      <td>0.000953</td>
-      <td>0.000227</td>
+      <td>0.000813</td>
+      <td>0.000245</td>
       <td>0.892733</td>
       <td>0.863889</td>
     </tr>
@@ -2482,10 +2481,10 @@ <h2>Forecasting further into the future<a class="headerlink" href="#forecasting-
 </div>
 <div class="cell_output docutils container">
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Train-set R^2: 0.94
-Test-set R^2: 0.67
+Test-set R^2: 0.69
 </pre></div>
 </div>
-<img alt="../_images/57a105a80af0556d72b80b57e68117748634c0c1e316ddd16a79fa0500de3663.png" src="../_images/57a105a80af0556d72b80b57e68117748634c0c1e316ddd16a79fa0500de3663.png" />
+<img alt="../_images/a99b49081b28890e9e721b1cc202f8dcd0d80b49ae50de01f10b5b12386b3c60.png" src="../_images/a99b49081b28890e9e721b1cc202f8dcd0d80b49ae50de01f10b5b12386b3c60.png" />
 </div>
 </div>
 <ul class="simple">
diff --git a/lectures/class_demos/14_class-demo.html b/lectures/class_demos/14_class-demo.html
index b723d70..0df1d16 100644
--- a/lectures/class_demos/14_class-demo.html
+++ b/lectures/class_demos/14_class-demo.html
@@ -387,7 +387,7 @@ <h2>Let’s cluster images!!<a class="headerlink" href="#let-s-cluster-images" t
 Intel MKL WARNING: Support of Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2) enabled only processors has been deprecated. Intel oneAPI Math Kernel Library 2025.0 will require Intel(R) Advanced Vector Extensions (Intel(R) AVX) instructions.
 </pre></div>
 </div>
-<img alt="../../_images/80c69416a28068b32b7d995d381f0f6529018f772b668445946422c8a757b384.png" src="../../_images/80c69416a28068b32b7d995d381f0f6529018f772b668445946422c8a757b384.png" />
+<img alt="../../_images/e2fbe152d5cbb22abce858b1950883edf4f4a1295ffabb5b8d55558ef031c635.png" src="../../_images/e2fbe152d5cbb22abce858b1950883edf4f4a1295ffabb5b8d55558ef031c635.png" />
 </div>
 </div>
 <div class="cell docutils container">
diff --git a/lectures/class_demos/15_class-demo.html b/lectures/class_demos/15_class-demo.html
index 5f25503..bea26ce 100644
--- a/lectures/class_demos/15_class-demo.html
+++ b/lectures/class_demos/15_class-demo.html
@@ -380,7 +380,7 @@ <h1>Lecture 15: Class demo<a class="headerlink" href="#lecture-15-class-demo" ti
 Intel MKL WARNING: Support of Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2) enabled only processors has been deprecated. Intel oneAPI Math Kernel Library 2025.0 will require Intel(R) Advanced Vector Extensions (Intel(R) AVX) instructions.
 </pre></div>
 </div>
-<img alt="../../_images/cd421f298341966020aaca456a1ec51bd32aa33fe8d8c23adab33865026b7809.png" src="../../_images/cd421f298341966020aaca456a1ec51bd32aa33fe8d8c23adab33865026b7809.png" />
+<img alt="../../_images/c78df450bb22e3e9f8b73099149ff949bbe9911b14991ccb4b5549e617072e96.png" src="../../_images/c78df450bb22e3e9f8b73099149ff949bbe9911b14991ccb4b5549e617072e96.png" />
 </div>
 </div>
 <div class="cell docutils container">
diff --git a/searchindex.js b/searchindex.js
index 8356637..687c4c1 100644
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"docnames": ["LICENSE", "README", "attribution", "docs/330_vs_340", "docs/README", "docs/asking_for_help", "docs/git_installation", "docs/grades", "docs/homework_instructions", "docs/python_notes", "docs/resources", "docs/setup", "learning-objectives", "lectures/01_intro", "lectures/02_decision-trees", "lectures/03_ml-fundamentals", "lectures/04_kNNs-SVM-RBF", "lectures/05_preprocessing-pipelines", "lectures/06_column-transformer-text-feats", "lectures/07_linear-models", "lectures/08_hyperparameter-optimization", "lectures/09_classification-metrics", "lectures/10_regression-metrics", "lectures/11_ensembles", "lectures/12_feat-importances", "lectures/13_feature-engineering-selection", "lectures/14_K-Means", "lectures/15_DBSCAN-hierarchical", "lectures/16_recommender-systems", "lectures/17_natural-language-processing", "lectures/18_intro_to_computer-vision", "lectures/19_time-series", "lectures/20_survival-analysis", "lectures/Appendix-A", "lectures/Appendix-B", "lectures/class_demos/03_class-demo", "lectures/class_demos/04_class-demo", "lectures/class_demos/05-06_class-demo", "lectures/class_demos/07_class-demo", "lectures/class_demos/09_class-demo", "lectures/class_demos/14_class-demo", "lectures/class_demos/15_class-demo", "lectures/midterm-review-guiding-questions", "lectures/slides/05_slides", "lectures/slides/06_slides", "lectures/slides/07_slides", "lectures/slides/08_slides", "lectures/slides/09_slides", "lectures/slides/10_slides", "lectures/slides/11_slides", "lectures/slides/12_slides", "lectures/slides/13_slides", "lectures/slides/14_slides", "lectures/slides/15_slides", "lectures/slides/16_slides", "lectures/slides/17_slides", "lectures/slides/18_slides", "syllabus", "worksheets/Worksheet_1/Worksheet_1", "worksheets/Worksheet_2/Worksheet_2", "worksheets/Worksheet_3/Worksheet_3"], "filenames": ["LICENSE.md", "README.md", "attribution.md", "docs/330_vs_340.md", "docs/README.md", "docs/asking_for_help.md", "docs/git_installation.md", "docs/grades.md", "docs/homework_instructions.md", "docs/python_notes.ipynb", "docs/resources.md", "docs/setup.md", "learning-objectives.md", "lectures/01_intro.ipynb", "lectures/02_decision-trees.ipynb", "lectures/03_ml-fundamentals.ipynb", "lectures/04_kNNs-SVM-RBF.ipynb", "lectures/05_preprocessing-pipelines.ipynb", "lectures/06_column-transformer-text-feats.ipynb", "lectures/07_linear-models.ipynb", "lectures/08_hyperparameter-optimization.ipynb", "lectures/09_classification-metrics.ipynb", "lectures/10_regression-metrics.ipynb", "lectures/11_ensembles.ipynb", "lectures/12_feat-importances.ipynb", "lectures/13_feature-engineering-selection.ipynb", "lectures/14_K-Means.ipynb", "lectures/15_DBSCAN-hierarchical.ipynb", "lectures/16_recommender-systems.ipynb", "lectures/17_natural-language-processing.ipynb", "lectures/18_intro_to_computer-vision.ipynb", "lectures/19_time-series.ipynb", "lectures/20_survival-analysis.ipynb", "lectures/Appendix-A.ipynb", "lectures/Appendix-B.ipynb", "lectures/class_demos/03_class-demo.ipynb", "lectures/class_demos/04_class-demo.ipynb", "lectures/class_demos/05-06_class-demo.ipynb", "lectures/class_demos/07_class-demo.ipynb", "lectures/class_demos/09_class-demo.ipynb", "lectures/class_demos/14_class-demo.ipynb", "lectures/class_demos/15_class-demo.ipynb", "lectures/midterm-review-guiding-questions.ipynb", "lectures/slides/05_slides.ipynb", "lectures/slides/06_slides.ipynb", "lectures/slides/07_slides.ipynb", "lectures/slides/08_slides.ipynb", "lectures/slides/09_slides.ipynb", "lectures/slides/10_slides.ipynb", "lectures/slides/11_slides.ipynb", "lectures/slides/12_slides.ipynb", "lectures/slides/13_slides.ipynb", "lectures/slides/14_slides.ipynb", "lectures/slides/15_slides.ipynb", "lectures/slides/16_slides.ipynb", "lectures/slides/17_slides.ipynb", "lectures/slides/18_slides.ipynb", "syllabus.md", "worksheets/Worksheet_1/Worksheet_1.ipynb", "worksheets/Worksheet_2/Worksheet_2.ipynb", "worksheets/Worksheet_3/Worksheet_3.ipynb"], "titles": ["LICENSE", "UBC CPSC 330: Applied Machine Learning (2023W1)", "Attributions", "CPSC 330 vs. CPSC 340", "CPSC 330 Documents", "How to ask for help", "What are git and GitHub?", "CPSC 330 grading policies", "Homework info &amp; submission guidelines", "CPSC 330 Python notes", "Reference material", "Setting up coding environment", "Course Learning Objectives", "Lecture 1: Course Introduction", "Lecture 2: Terminology, Baselines, Decision Trees", "Lecture 3: Machine Learning Fundamentals", "Lecture 4: <span class=\"math notranslate nohighlight\">\\(k\\)</span>-Nearest Neighbours and SVM RBFs", "Lecture 5: Preprocessing and <code class=\"docutils literal notranslate\"><span class=\"pre\">sklearn</span></code> pipelines", "Lecture 6: <code class=\"docutils literal notranslate\"><span class=\"pre\">sklearn</span></code> <code class=\"docutils literal notranslate\"><span class=\"pre\">ColumnTransformer</span></code> and Text Features", "Lecture 7: Linear Models", "Lecture 8: Hyperparameter Optimization and Optimization Bias", "Lecture 9: Classification metrics", "Lecture 10: Regression metrics", "Lecture 11: Ensembles", "Lecture 12: Feature importances and model transparency", "Lecture 13: Feature engineering and feature selection", "Lecture 14: K-Means Clustering", "Lecture 15: More Clustering", "Lecture 16: Recommender Systems", "Lecture 17: Introduction to natural language processing", "Lecture 18: Multi-class classification and introduction to computer vision", "Lecture 19: Time series", "Lecture 20: Survival analysis", "Appendix A", "Appendix-B", "Lecture 3: Class demo", "Lecture 4: Class demo", "Lectures 5 and 6: Class demo", "Lectures 7: Class demo", "Exploring classification metrics", "Lecture 14: Class demo", "Lecture 15: Class demo", "Lecture 14: Midterm review guiding questions", "Lecture 5: Preprocessing and sklearn pipelines", "Announcements", "Announcements", "Lecture 8: Hyperparameter Optimization and Optimization Bias", "Lecture 9: Classification Metrics", "Lecture 10: Regression metrics", "Lecture 11: Ensembles", "Lecture 12: Feature importances and model transparency", "Lecture 13: Feature engineering and feature selection", "Lecture 14: K-Means Clustering", "Lecture 15: More Clustering", "Lecture 16: Recommender Systems", "Lecture 18: Introduction to natural language processing", "Lecture 18: Multi-class classification and introduction to computer vision", "Syllabus", "Worksheet 1: Terminology and decision trees", "Worksheet 2: KNNs and SVMs", "Worksheet 3: Preprocessing"], "terms": {"all": [0, 1, 5, 6, 7, 8, 9, 11, 15, 16, 18, 20, 22, 23, 24, 25, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 54, 55, 56, 57, 58, 59, 60], "cpsc330": [0, 1, 11, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 29, 32, 33, 34, 35, 37, 38, 40, 41, 49, 50, 51, 54, 55, 56, 57, 58, 59, 60], "repositori": [0, 1, 6, 8, 11, 19, 36, 37], "made": [0, 1, 7, 8, 9, 13, 14, 21, 23, 24, 28, 29, 31, 34, 38, 47, 49, 50, 54, 55, 57], "avail": [0, 1, 8, 10, 11, 13, 15, 18, 20, 21, 22, 24, 27, 28, 29, 30, 31, 32, 34, 39, 40, 41, 44, 45, 50, 51, 53, 54, 55, 56, 57, 58, 60], "under": [0, 1, 8, 13, 14, 15, 17, 22, 28, 30, 37, 43, 48, 52, 54, 55, 56], "attribut": [0, 1, 13, 14, 16, 17, 19, 20, 25, 26, 29, 30, 38, 46, 51, 55, 56, 58, 60], "4": [0, 1, 9, 10, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 53, 54, 55, 56, 57, 59], "0": [0, 1, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60], "intern": [0, 1, 14, 28, 30, 31, 32, 56], "cc": [0, 1], "BY": [0, 1], "thi": [0, 1, 2, 3, 5, 6, 7, 8, 11, 12, 14, 15, 16, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 41, 43, 44, 45, 46, 47, 48, 49, 51, 53, 54, 55, 56, 57, 58, 59, 60], "human": [0, 13, 16, 17, 18, 19, 20, 21, 24, 25, 28, 29, 30, 38, 39, 41, 43, 45, 46, 50, 51, 54, 55, 56], "readabl": [0, 9], "summari": 0, "substitut": [0, 59], "you": [0, 1, 5, 6, 7, 8, 9, 11, 24, 32, 33, 34, 35, 36, 37, 39, 40, 41, 42, 43, 44, 45, 47, 48, 50, 52, 56, 57, 58, 59, 60], "ar": [0, 1, 3, 5, 7, 8, 9, 10, 11, 15, 16, 18, 20, 22, 23, 24, 25, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 41, 42, 44, 46, 47, 49, 50, 51, 56, 57, 58, 59], "free": [0, 6, 16, 18, 22, 29, 32, 44, 55], "share": [0, 17, 25, 33, 37, 43, 51, 52, 57], "copi": [0, 8, 9, 11, 14, 23, 24, 26, 28, 30, 31, 32, 49, 50, 54, 56, 57], "redistribut": 0, "ani": [0, 11, 13, 14, 15, 16, 17, 18, 19, 21, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 37, 38, 39, 40, 41, 42, 43, 44, 45, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58], "medium": [0, 16, 32, 37], "format": [0, 1, 14, 16, 18, 21, 27, 29, 31, 32, 34, 37, 38, 41, 47, 48, 51, 53, 55, 57, 58], "adapt": [0, 2, 17, 18, 21, 23, 25, 29, 31, 38, 44, 49, 51, 55, 58], "remix": 0, "transform": [0, 20, 21, 23, 24, 27, 29, 30, 31, 32, 34, 36, 37, 38, 40, 41, 42, 46, 49, 50, 53, 55, 56], "build": [0, 3, 11, 12, 15, 17, 18, 23, 25, 26, 29, 30, 31, 34, 37, 39, 43, 44, 48, 49, 51, 52, 55, 56, 58], "upon": [0, 13, 14, 15, 18, 21, 23, 24, 25, 26, 27, 29, 49, 50, 51, 52, 53, 55], "purpos": [0, 14, 15, 17, 28, 29, 31, 38, 42, 44, 51, 54, 55, 58], "even": [0, 8, 13, 14, 15, 16, 18, 19, 20, 21, 25, 26, 27, 28, 31, 37, 38, 39, 42, 51, 52, 53, 54, 57], "commerci": 0, "The": [0, 3, 6, 8, 9, 12, 13, 14, 16, 17, 18, 21, 22, 24, 27, 29, 30, 31, 32, 34, 36, 37, 38, 43, 44, 46, 47, 48, 50, 53, 55, 56, 57, 58, 60], "licensor": 0, "cannot": [0, 8, 9, 13, 15, 16, 20, 21, 23, 24, 25, 26, 27, 31, 32, 47, 49, 50, 51, 52, 53, 57], "revok": 0, "freedom": [0, 25, 51], "long": [0, 13, 14, 19, 21, 22, 23, 27, 28, 29, 32, 35, 45, 48, 53, 54, 55, 57], "follow": [0, 1, 6, 9, 11, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 28, 29, 30, 31, 33, 34, 37, 38, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 54, 55, 56, 57, 58, 59, 60], "term": [0, 3, 7, 14, 16, 18, 19, 21, 24, 25, 28, 34, 45, 50, 51, 54, 58], "must": [0, 7, 8, 9, 13, 14, 15, 17, 27, 28, 32, 38, 53, 57, 58], "give": [0, 13, 14, 15, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 33, 35, 36, 39, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56], "appropri": [0, 5, 11, 12, 14, 15, 18, 21, 22, 26, 27, 31, 32, 44, 47, 48, 51, 52, 53, 57, 58], "credit": [0, 13, 14, 21, 23, 29, 31, 32, 39, 47, 49, 55], "mention": [0, 5, 13, 19, 32, 45], "your": [0, 1, 3, 5, 7, 8, 9, 11, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 31, 32, 33, 34, 37, 39, 42, 43, 44, 45, 46, 47, 49, 50, 51, 52, 54, 55, 56, 57, 58, 59, 60], "work": [0, 5, 6, 8, 9, 11, 12, 13, 16, 17, 18, 19, 20, 21, 22, 24, 25, 26, 28, 29, 30, 31, 32, 33, 34, 37, 38, 43, 45, 46, 47, 48, 50, 51, 54, 55, 56, 57, 58, 60], "deriv": [0, 14, 19, 21, 39], "from": [0, 1, 2, 3, 5, 6, 7, 8, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57, 58, 59, 60], "copyright": 0, "varada": [0, 1, 2, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 42, 43, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57], "kolhatkar": [0, 1, 2, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 42, 43, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57], "mike": [0, 1, 2, 10, 13, 14], "gelbart": [0, 1, 2, 13, 14, 29, 55], "where": [0, 1, 8, 11, 13, 14, 15, 16, 19, 20, 21, 22, 23, 24, 26, 28, 29, 30, 31, 33, 36, 37, 38, 39, 44, 45, 46, 47, 48, 49, 50, 52, 54, 55, 56, 58, 59], "practic": [0, 7, 10, 12, 15, 17, 21, 25, 29, 30, 51, 55, 56, 57], "link": [0, 5, 6, 8, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 30, 34, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56], "http": [0, 6, 9, 10, 11, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 30, 31, 32, 33, 38, 40, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 56], "com": [0, 6, 9, 10, 11, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 30, 31, 32, 33, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 56], "provid": [0, 1, 6, 8, 11, 12, 14, 15, 18, 19, 20, 21, 22, 24, 25, 26, 27, 28, 29, 33, 36, 42, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 60], "indic": [0, 18, 26, 29, 30, 31, 37, 38, 40, 41, 44, 52, 55, 56, 57, 58, 60], "chang": [0, 6, 8, 9, 11, 14, 15, 16, 17, 20, 22, 23, 24, 26, 27, 28, 30, 31, 32, 34, 43, 46, 50, 51, 52, 53, 54, 56, 58, 59], "were": [0, 7, 13, 18, 19, 21, 22, 28, 30, 31, 32, 37, 47, 48, 55, 56, 57, 59, 60], "mai": [0, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 31, 32, 33, 41, 43, 45, 46, 47, 49, 50, 52, 53, 54, 55, 57], "do": [0, 1, 5, 6, 7, 8, 9, 11, 13, 14, 15, 16, 19, 22, 27, 30, 31, 32, 33, 34, 35, 36, 37, 39, 40, 42, 44, 45, 47, 48, 53, 56, 57, 58, 59, 60], "so": [0, 1, 5, 6, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 37, 38, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60], "reason": [0, 1, 3, 5, 9, 12, 13, 15, 17, 20, 21, 22, 24, 26, 29, 30, 31, 32, 33, 34, 43, 46, 48, 50, 52, 55, 56, 57], "manner": [0, 13, 23, 49], "wai": [0, 3, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 21, 22, 23, 24, 26, 27, 28, 30, 31, 34, 37, 38, 40, 42, 43, 47, 48, 49, 50, 52, 53, 54, 56, 57, 58, 59], "suggest": [0, 13, 14, 28, 32, 54], "endors": 0, "us": [0, 1, 3, 5, 6, 8, 11, 12, 19, 20, 27, 31, 32, 35, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 53, 58, 60], "No": [0, 1, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 27, 28, 31, 32, 35, 37, 38, 39, 40, 41, 43, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 60], "addit": [0, 5, 13, 14, 22, 57], "restrict": [0, 13, 22, 23, 29, 49, 52, 55], "appli": [0, 3, 7, 10, 12, 13, 14, 15, 19, 20, 21, 24, 25, 26, 27, 28, 29, 30, 31, 32, 37, 38, 42, 44, 45, 46, 47, 50, 51, 52, 53, 54, 55, 56, 59, 60], "legal": [0, 29, 55], "technolog": [0, 13, 29, 55], "measur": [0, 13, 14, 15, 16, 21, 22, 24, 26, 27, 28, 29, 31, 32, 33, 47, 48, 50, 52, 53, 54, 55], "other": [0, 1, 5, 6, 7, 11, 13, 14, 15, 17, 18, 19, 20, 21, 23, 27, 30, 33, 35, 36, 37, 38, 39, 40, 45, 46, 47, 48, 49, 50, 53, 56, 57, 58], "anyth": [0, 13, 15, 18, 21, 28, 29, 32, 37, 47, 54, 55], "permit": [0, 17, 21, 39, 57], "With": [0, 13, 14, 16, 17, 18, 19, 20, 22, 24, 25, 26, 27, 30, 32, 36, 43, 45, 46, 50, 51, 52, 53, 56, 58, 59], "understand": [0, 5, 8, 12, 13, 14, 15, 16, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 36, 47, 50, 51, 52, 53, 54, 55, 56, 57], "notic": [0, 13, 18, 19, 21, 22, 25, 33, 37, 48, 51, 59], "have": [0, 1, 5, 7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 51, 52, 53, 54, 55, 56, 57, 58, 59], "compli": 0, "element": [0, 10, 14, 15, 18, 29, 37, 38, 55], "public": [0, 1, 25, 29, 38, 51, 55, 57], "domain": [0, 13, 24, 26, 29, 50, 55], "an": [0, 3, 5, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 26, 27, 29, 30, 31, 32, 34, 36, 38, 40, 41, 42, 43, 44, 45, 46, 47, 48, 50, 52, 53, 55, 56, 57, 58, 59], "applic": [0, 6, 13, 18, 20, 21, 22, 24, 25, 32, 39, 48, 50, 51, 57], "except": [0, 1, 8, 9, 13, 15, 31, 32, 58, 59], "limit": [0, 13, 14, 15, 18, 23, 24, 25, 42, 49, 50, 51, 52], "warranti": 0, "given": [0, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 40, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56], "permiss": [0, 33, 57], "necessari": [0, 8, 14, 20, 46, 58, 59, 60], "intend": [0, 1, 57, 58, 59, 60], "For": [0, 1, 5, 6, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 59], "exampl": [0, 2, 5, 6, 7, 8, 9, 11, 22, 27, 30, 31, 34, 37, 38, 39, 40, 42, 43, 44, 45, 48, 53, 56, 57, 58, 59], "right": [0, 1, 12, 13, 19, 20, 21, 22, 25, 26, 27, 28, 29, 33, 35, 37, 44, 45, 46, 48, 51, 52, 53, 54, 55], "privaci": [0, 12, 26, 52], "moral": [0, 26, 52], "how": [0, 4, 9, 11, 12, 13, 18, 20, 21, 22, 28, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 42, 44, 46, 47, 48, 56, 57, 58, 59], "otherwis": [0, 8, 13, 18, 26], "note": [0, 1, 4, 8, 10, 11, 14, 16, 17, 18, 19, 20, 21, 23, 24, 25, 27, 28, 30, 34, 46, 47, 49, 50, 51, 52, 54, 55, 56, 57, 58, 59], "program": [0, 5, 10, 11, 13, 29, 55, 57], "mit": [0, 1], "c": [0, 9, 11, 13, 14, 15, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 34, 36, 38, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59], "2021": 0, "herebi": 0, "grant": 0, "charg": [0, 24, 32, 50, 51], "person": [0, 1, 5, 7, 13, 21, 25, 26, 28, 29, 31, 32, 38, 47, 51, 54, 55, 57, 58], "obtain": [0, 19, 26, 27, 28, 32, 36, 38, 52, 53, 54, 60], "associ": [0, 13, 15, 16, 21, 22, 24, 25, 26, 29, 30, 31, 32, 38, 45, 48, 50, 51, 52, 55, 56, 58], "document": [0, 1, 8, 13, 14, 15, 18, 21, 22, 23, 24, 25, 30, 31, 32, 33, 39, 44, 48, 49, 51, 56, 57, 60], "file": [0, 1, 5, 6, 8, 9, 11, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 30, 32, 34, 35, 37, 38, 40, 41, 43, 48, 49, 54, 55, 56, 58, 59, 60], "deal": [0, 13, 15, 16, 17, 22, 29, 32, 37, 42, 43, 44, 47, 48, 55, 58], "without": [0, 8, 13, 14, 15, 21, 23, 24, 25, 30, 31, 32, 47, 49, 50, 51, 56, 57], "includ": [0, 3, 5, 6, 7, 8, 9, 11, 12, 13, 14, 17, 18, 21, 22, 24, 25, 26, 27, 29, 30, 31, 32, 36, 42, 43, 44, 47, 48, 51, 53, 55, 56, 57, 58, 60], "modifi": [0, 11, 21, 32, 57], "merg": [0, 6, 11, 27, 53], "publish": [0, 19, 29, 33, 55], "distribut": [0, 11, 15, 21, 24, 25, 27, 33, 37, 47, 50, 51, 52, 53, 57], "sublicens": 0, "sell": [0, 9, 14], "whom": [0, 25, 33, 38, 51, 55], "furnish": 0, "subject": 0, "condit": [0, 13, 14, 18, 25, 29, 32, 35, 51, 55, 58], "abov": [0, 6, 9, 11, 13, 14, 15, 16, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 34, 35, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57, 58, 60], "shall": [0, 29, 55], "substanti": 0, "portion": [0, 15, 17, 20, 22, 24, 38, 43, 46, 48, 50], "THE": [0, 15], "IS": 0, "AS": 0, "OF": 0, "kind": [0, 13, 14, 15, 17, 18, 19, 21, 22, 24, 26, 27, 29, 30, 31, 32, 33, 45, 47, 48, 50, 52, 53, 55, 56], "express": [0, 9, 18, 19, 25, 29, 33, 41, 51, 55], "OR": [0, 9, 22, 48], "impli": 0, "BUT": [0, 9], "NOT": [0, 9, 18, 19, 44, 45], "TO": [0, 29, 55], "merchant": 0, "fit": [0, 13, 15, 16, 18, 19, 20, 21, 22, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 44, 45, 46, 47, 48, 50, 51, 52, 53, 54, 55, 56, 59, 60], "FOR": 0, "A": [0, 1, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25, 28, 30, 34, 36, 37, 38, 40, 41, 42, 43, 44, 45, 46, 48, 49, 50, 51, 54, 56, 59], "particular": [0, 10, 11, 17, 20, 21, 23, 24, 25, 26, 28, 29, 30, 31, 32, 39, 49, 50, 51, 52, 54, 55, 56, 58, 60], "AND": [0, 22, 48], "noninfring": 0, "IN": [0, 15, 19, 45], "NO": 0, "event": [0, 13, 21, 22, 48, 57], "author": [0, 29, 55, 57], "holder": 0, "BE": [0, 29, 55], "liabl": 0, "claim": [0, 20, 21, 38], "damag": [0, 21, 47], "liabil": 0, "whether": [0, 5, 8, 9, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 29, 31, 32, 33, 35, 37, 38, 43, 45, 47, 48, 49, 50, 51, 53, 55, 57, 58, 60], "action": [0, 13, 22, 23, 24, 26, 28, 32, 48, 49, 50, 52, 54], "contract": [0, 32], "tort": 0, "aris": [0, 13, 29, 55], "out": [0, 1, 5, 8, 9, 11, 13, 14, 15, 16, 18, 20, 21, 22, 23, 24, 26, 27, 28, 29, 31, 32, 33, 34, 35, 37, 38, 40, 44, 46, 48, 49, 50, 52, 53, 54, 55, 57, 58, 59], "connect": [0, 13, 14, 27, 28, 38, 53, 54], "WITH": 0, "homepag": 1, "univers": [1, 10, 13, 29, 55], "british": [1, 13, 29, 55], "columbia": [1, 10, 29, 55], "look": [1, 11, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25, 27, 28, 29, 31, 32, 33, 37, 38, 42, 43, 44, 45, 47, 48, 49, 50, 51, 53, 54, 55, 58, 59], "current": [1, 13, 23, 25, 28, 29, 30, 31, 32, 49, 51, 55, 56], "version": [1, 5, 6, 8, 9, 11, 13, 17, 18, 19, 20, 22, 24, 27, 29, 31, 34, 37, 38, 45, 46, 48, 50, 53, 55], "sep": [1, 9, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "dec": 1, "2023": [1, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 41, 42, 43, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56], "andrew": [1, 10, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 31, 32, 43, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57], "roth": [1, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 31, 32, 43, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57], "section": [1, 11, 13, 14, 15, 24, 25, 50, 51, 52, 55, 56, 57], "101": [1, 10, 13, 16, 26, 38, 40, 41, 52, 57], "tue": [1, 31, 57], "thu": [1, 7, 20, 31, 32, 57], "15": [1, 9, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 28, 31, 32, 34, 35, 36, 37, 40, 42, 43, 46, 47, 48, 49, 50, 51, 52, 54, 55, 56], "30": [1, 5, 9, 13, 14, 15, 16, 19, 21, 22, 23, 25, 28, 29, 31, 32, 37, 41, 47, 48, 49, 51, 55, 57], "17": [1, 5, 9, 14, 16, 17, 18, 19, 20, 21, 22, 25, 28, 31, 32, 34, 35, 37, 41, 42, 43, 46, 47, 48, 51, 54, 55], "00": [1, 9, 13, 14, 16, 18, 19, 20, 21, 24, 27, 28, 31, 34, 37, 38, 39, 44, 46, 47, 50, 51, 53, 54, 55, 57], "swing": 1, "space": [1, 13, 16, 19, 20, 25, 26, 27, 29, 34, 43, 45, 46, 51, 52, 53, 55, 57, 59, 60], "121": [1, 13, 17, 18, 19, 20, 23, 25, 31, 35, 40, 46, 49, 57], "102": [1, 13, 21, 22, 28, 37, 47, 48, 57], "11": [1, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 25, 26, 27, 28, 29, 31, 32, 34, 35, 36, 37, 38, 40, 41, 42, 43, 44, 45, 46, 47, 48, 50, 51, 52, 53, 54, 55, 56, 57, 58], "12": [1, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57], "west": [1, 28], "mall": [1, 25, 51], "221": [1, 57], "michel": [1, 13, 57], "pang": [1, 13, 57], "admin": [1, 13, 57], "cs": [1, 6, 10, 11, 13, 18, 41, 49, 54, 55, 56, 57], "ca": [1, 6, 10, 13, 25, 34, 51, 57], "chen": [1, 13, 57], "liu": [1, 13, 57], "chenliu5": [1, 57], "student": [1, 5, 6, 7, 8, 12, 13, 14, 19, 21, 22, 24, 25, 26, 27, 28, 30, 33, 45, 47, 48, 50, 51, 52, 53, 54, 56, 57, 58], "colleen": 1, "rideout": 1, "colleenx": 1, "justic": [1, 13, 24, 50, 55, 57], "sefa": [1, 13, 57], "jsefa": [1, 57], "kaiyun": 1, "gao": 1, "gky0722": 1, "mahsa": [1, 13, 57], "zarei": [1, 13, 57], "mzarei": [1, 57], "chem": [1, 57], "miranda": [1, 13, 57], "chan": [1, 13, 57], "mc835": [1, 57], "sparsh": 1, "trivedi": 1, "sparsh01": 1, "vee": [1, 13, 57], "rajesh": [1, 57], "bahel": [1, 13, 57], "bvedant": [1, 57], "wilson": [1, 13, 57], "tu": [1, 13, 57], "linshuan": [1, 57], "yeojun": [1, 13, 57], "han": [1, 57], "yeojunh": [1, 57], "softwar": [1, 6, 11, 32], "non": [1, 9, 13, 14, 15, 17, 19, 20, 21, 22, 23, 25, 27, 28, 29, 30, 31, 32, 39, 42, 43, 44, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58], "content": [1, 5, 12, 16, 29, 30, 33, 34, 55, 56, 57], "creativ": [1, 55], "common": [1, 9, 12, 13, 14, 15, 16, 18, 20, 21, 22, 23, 24, 25, 27, 28, 29, 30, 31, 32, 34, 35, 38, 46, 47, 48, 49, 51, 53, 54, 55, 56, 60], "noncommerci": 1, "sharealik": 1, "nc": 1, "sa": 1, "see": [1, 5, 7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 34, 37, 38, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57, 58, 59, 60], "more": [1, 3, 6, 7, 8, 9, 11, 12, 13, 15, 20, 23, 24, 26, 29, 30, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 46, 49, 50, 52, 55, 56, 57, 58, 59], "inform": [1, 5, 8, 11, 13, 14, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 32, 33, 34, 36, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56], "calendar": [1, 57], "github": [1, 8, 10, 11, 13, 17, 18, 20, 21, 22, 23, 25, 30, 35, 36, 37, 38, 39, 40, 41, 43, 46, 48, 49, 51, 56], "page": [1, 5, 8, 13, 17, 18, 20, 21, 22, 23, 25, 29, 30, 34, 35, 36, 37, 38, 39, 40, 41, 43, 46, 48, 49, 55, 56], "jupyt": [1, 8, 9, 10, 11, 17, 18, 20, 21, 22, 23, 25, 30, 35, 36, 37, 38, 39, 40, 41, 43, 46, 48, 49, 56, 58, 59], "book": [1, 10, 13, 21, 22, 28, 29, 31, 33, 48, 54, 55], "canva": [1, 13, 17, 43, 57, 58], "find": [1, 9, 13, 14, 17, 20, 22, 23, 24, 27, 30, 37, 38, 40, 41, 46, 48, 49, 50, 51, 53, 57, 59], "class": [1, 5, 6, 8, 9, 11, 14, 15, 16, 17, 18, 19, 25, 26, 28, 31, 32, 39, 43, 45, 51, 52, 54, 55, 58], "record": [1, 14, 32, 57], "via": [1, 11, 13, 21, 25, 34, 51, 57, 58], "panopto": 1, "piazza": [1, 7, 8, 13, 14, 21, 22, 45, 48], "iclick": [1, 28, 54], "cloud": [1, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 30, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 56, 57], "gradescop": [1, 7, 8, 13, 57, 58], "video": [1, 9, 10, 28, 30, 32, 35, 54, 56, 57], "youtub": [1, 13, 28, 29, 54, 55, 57], "channel": [1, 11, 30, 34, 40, 56], "syllabu": [1, 4, 13], "administr": [1, 4], "info": [1, 4, 9, 17, 18, 21, 22, 25, 28, 29, 31, 32, 44, 47, 48, 51, 54, 55], "usual": [1, 11, 13, 14, 15, 16, 17, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 37, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57], "homework": [1, 4, 5, 7, 9, 11, 14, 15, 16, 17, 19, 20, 21, 22, 28, 34, 43, 44, 45, 48, 52, 55, 56, 57, 60], "assign": [1, 5, 7, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 29, 31, 32, 34, 36, 43, 48, 51, 52, 53, 54, 55], "mondai": [1, 15, 16, 28, 31, 44, 48, 54, 55, 56, 57], "next": [1, 11, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 28, 30, 31, 34, 36, 40, 41, 49, 50, 51, 56, 60], "week": [1, 7, 9, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 31, 39, 43, 44, 49, 50, 51, 55], "releas": [1, 8, 13, 14, 15, 16, 20, 38, 44, 47, 55], "tuesdai": [1, 13, 20, 21, 24, 25, 31, 51, 57], "we": [1, 5, 6, 7, 8, 11, 13, 14, 16, 27, 30, 31, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 53, 56, 57, 58, 59], "ll": [1, 7, 8, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 31, 32, 35, 37, 38, 40, 42, 44, 45, 46, 47, 48, 49, 50, 51, 52, 54, 55, 56, 57, 58, 59], "also": [1, 3, 5, 6, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 37, 38, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 59], "add": [1, 8, 9, 11, 17, 18, 21, 22, 23, 24, 25, 26, 27, 29, 31, 32, 33, 48, 49, 51, 53, 55, 58], "If": [1, 5, 6, 7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 38, 39, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59], "inconsist": [1, 13], "assum": [1, 13, 14, 18, 19, 21, 22, 27, 28, 29, 31, 33, 34, 39, 45, 47, 52, 53, 54, 55, 58, 60], "alwai": [1, 13, 14, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 33, 35, 37, 42, 44, 45, 47, 48, 49, 50, 51, 52, 53], "assess": [1, 7, 12, 14, 15, 17, 21, 24, 37, 43, 47, 50, 57], "submit": [1, 9, 15, 55, 57, 58], "hw1": [1, 5, 8, 14, 16, 17, 43], "sept": [1, 13, 14, 15], "59": [1, 9, 16, 20, 22, 28, 31, 32, 34, 41, 48, 54], "pm": [1, 13, 31, 57], "repo": 1, "quiz": [1, 13, 29, 55, 57], "19": [1, 9, 13, 14, 15, 16, 18, 20, 21, 22, 23, 25, 28, 32, 34, 35, 41, 42, 44, 46, 47, 48, 51, 55, 57], "hw2": [1, 8, 14, 15, 16], "18": [1, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 25, 26, 28, 31, 32, 34, 37, 39, 40, 41, 42, 43, 45, 46, 47, 48, 51, 52], "hw3": [1, 8, 16, 20], "oct": [1, 9, 19, 20, 44, 45, 47, 49], "02": [1, 9, 16, 17, 18, 19, 20, 22, 24, 25, 31, 34, 35, 37, 43, 46, 48, 50, 51, 54], "hw4": [1, 20, 21, 22, 47, 48], "10": [1, 5, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60], "midterm": [1, 7, 13, 21, 22, 24, 28, 45, 47, 48, 49, 50, 51, 54, 55, 56], "26": [1, 9, 13, 16, 17, 20, 21, 22, 24, 25, 26, 28, 31, 37, 41, 46, 47, 48, 49, 50, 51, 52, 55], "6": [1, 9, 13, 14, 15, 16, 17, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 38, 39, 40, 41, 42, 43, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 59], "7": [1, 9, 11, 13, 14, 15, 16, 17, 18, 20, 21, 22, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 39, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 59], "20": [1, 5, 9, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 31, 34, 37, 38, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 54, 55, 56, 57, 58, 59], "In": [1, 7, 8, 9, 10, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60], "esb": 1, "1013": 1, "cir": 1, "1250": [1, 17, 18, 28, 43, 54], "hw5": [1, 21, 22, 24, 48, 49, 50, 51], "hw6": [1, 52, 53, 54], "novemb": [1, 28, 31], "13": [1, 9, 13, 14, 15, 16, 17, 18, 20, 21, 22, 24, 27, 28, 29, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 43, 46, 47, 48, 49, 50, 52, 53, 54, 55], "hw7": 1, "hw8": 1, "27": [1, 9, 16, 18, 20, 21, 22, 31, 32, 35, 37, 41, 46, 47, 48, 55], "hw9": 1, "decemb": [1, 31], "final": [1, 7, 8, 13, 15, 17, 23, 25, 34, 35, 38, 43, 49, 51, 58], "exam": [1, 7, 13], "tba": 1, "live": [1, 11, 13, 17, 18, 20, 26, 28, 32, 43, 44, 46, 52, 60], "locat": [1, 9, 13, 18, 25, 26, 28, 29, 31, 36, 51, 52, 54, 55, 57, 59, 60], "can": [1, 5, 7, 8, 11, 13, 14, 16, 18, 19, 20, 21, 22, 27, 28, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 53, 56, 57, 58, 59, 60], "found": [1, 8, 15, 18, 20, 22, 25, 28, 35, 37, 48, 51, 53, 54, 57, 59], "after": [1, 5, 7, 8, 9, 11, 13, 15, 17, 18, 21, 22, 24, 25, 26, 27, 28, 30, 31, 32, 33, 37, 42, 43, 44, 48, 50, 51, 53, 55, 56, 57, 58, 59], "5": [1, 5, 19, 20, 22, 23, 27, 31, 34, 35, 36, 38, 39, 40, 41, 42, 45, 47, 48, 49, 51, 53, 57, 59], "dai": [1, 5, 9, 15, 25, 28, 30, 34, 37, 51, 56, 57], "That": [1, 13, 14, 15, 17, 19, 20, 22, 23, 24, 26, 27, 28, 29, 31, 32, 33, 45, 46, 48, 49, 50, 52, 53, 55], "said": [1, 15, 17, 19, 24, 27, 28, 29, 38, 45, 51, 53, 55], "consid": [1, 8, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 25, 26, 27, 28, 29, 31, 39, 41, 46, 47, 49, 50, 51, 52, 53, 54, 55, 57, 59, 60], "backup": [1, 8], "resourc": [1, 4, 6, 14, 23, 24, 29, 30, 46, 50, 55, 56], "complet": [1, 7, 13, 17, 20, 23, 24, 25, 34, 37, 43, 46, 49, 50, 51, 57, 58, 60], "reli": [1, 15, 25, 27, 31, 51, 53, 59], "get": [1, 5, 6, 7, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 49, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60], "lot": [1, 6, 10, 13, 14, 16, 18, 19, 20, 21, 22, 24, 25, 27, 30, 31, 32, 33, 37, 38, 46, 50, 51, 52, 53, 56, 57], "show": [1, 5, 8, 11, 13, 14, 15, 17, 18, 20, 21, 22, 23, 25, 26, 27, 28, 30, 31, 32, 35, 36, 37, 38, 39, 40, 41, 42, 43, 46, 48, 49, 52, 53, 54, 56, 58, 59], "up": [1, 8, 9, 14, 17, 18, 19, 20, 21, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 37, 38, 42, 44, 45, 46, 47, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59], "run": [1, 5, 6, 8, 9, 11, 13, 15, 16, 18, 20, 21, 22, 24, 25, 26, 27, 28, 29, 30, 33, 38, 40, 41, 46, 48, 50, 51, 52, 53, 54, 55, 56, 58, 59], "semi": [1, 29, 55], "flip": [1, 15, 21, 22, 47, 48], "classroom": [1, 57], "There": [1, 3, 6, 9, 10, 11, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 37, 38, 40, 41, 45, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57], "pre": [1, 11, 13, 23, 25, 26, 33, 36, 40, 49, 51, 52], "watch": [1, 13, 16, 19, 26, 28, 29, 38, 52, 54, 55], "mani": [1, 3, 6, 9, 13, 14, 15, 16, 17, 19, 21, 23, 24, 25, 26, 27, 28, 30, 31, 32, 33, 34, 35, 37, 38, 43, 44, 45, 47, 49, 50, 51, 52, 53, 54, 56, 59], "least": [1, 5, 13, 15, 16, 21, 22, 25, 26, 27, 28, 33, 38, 51, 52, 53, 54, 57, 59], "first": [1, 2, 5, 9, 13, 14, 16, 18, 19, 20, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 37, 38, 39, 44, 46, 49, 50, 51, 52, 53, 54, 55, 56, 59, 60], "half": [1, 7, 13, 14, 19, 25, 27, 45, 51, 53], "post": [1, 5, 7, 8, 9, 13, 14, 17, 21, 22, 29, 31, 43, 48, 52, 53, 54, 55, 57], "below": [1, 6, 9, 11, 13, 14, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 36, 37, 39, 40, 41, 43, 44, 45, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60], "try": [1, 5, 6, 7, 9, 11, 13, 14, 15, 16, 18, 19, 20, 21, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 38, 39, 40, 41, 43, 46, 48, 49, 50, 51, 52, 54, 55, 56, 57, 58, 59], "befor": [1, 5, 11, 14, 15, 16, 18, 19, 22, 23, 26, 27, 28, 29, 30, 31, 32, 37, 38, 40, 43, 45, 48, 52, 53, 54, 55, 56, 57, 58, 59], "correspond": [1, 13, 14, 15, 16, 18, 19, 20, 21, 22, 24, 26, 28, 31, 36, 41, 47, 48, 50, 52, 54, 58], "dure": [1, 9, 13, 14, 16, 18, 19, 20, 23, 24, 25, 28, 37, 42, 45, 46, 49, 50, 51, 54, 55, 57, 59], "summar": [1, 13, 19, 21, 22, 26, 29, 47, 52, 55], "point": [1, 5, 12, 13, 14, 15, 17, 18, 19, 20, 22, 25, 27, 30, 32, 35, 37, 38, 39, 40, 41, 45, 46, 48, 51, 53, 56, 58, 59, 60], "focu": [1, 13, 17, 18, 19, 27, 28, 31, 37, 45, 53, 54, 57, 58], "demo": [1, 15, 16, 17, 23, 26, 43, 49, 52], "worksheet": [1, 13, 14, 16, 44, 57], "q": [1, 28], "develop": [1, 2, 10, 12, 13, 15, 17, 18, 20, 21, 22, 23, 25, 26, 30, 43, 47, 48, 51, 56], "directli": [1, 9, 18, 22, 30, 37, 48, 49, 56], "check": [1, 5, 8, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 31, 32, 33, 34, 35, 38, 45, 48, 51, 52, 53, 55, 57, 58, 59, 60], "them": [1, 3, 5, 8, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 32, 36, 37, 38, 39, 43, 45, 46, 47, 49, 50, 51, 52, 54, 55, 56, 57, 58, 59], "thei": [1, 8, 9, 13, 14, 15, 16, 19, 20, 21, 22, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 38, 39, 45, 46, 47, 50, 51, 52, 53, 54, 55, 56, 58, 59], "might": [1, 7, 8, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 31, 33, 37, 38, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 59], "draft": 1, "form": [1, 13, 18, 21, 25, 27, 28, 29, 38, 44, 51, 53, 54, 55, 57], "onc": [1, 7, 8, 9, 11, 13, 14, 15, 17, 18, 20, 25, 27, 28, 29, 30, 36, 43, 44, 46, 51, 53, 54, 55, 56, 57, 58], "topic": [1, 3, 9, 12, 13, 14, 19, 21, 22, 26, 28, 30, 48, 52, 54, 56, 57], "vs": [1, 4, 8, 18, 19, 20, 31, 32, 33, 35, 36, 44, 59], "340": [1, 4, 14, 23, 25, 30, 31, 32, 41, 49, 51, 56], "imagin": [1, 13, 14, 15, 17, 19, 21, 24, 25, 26, 29, 32, 43, 45, 47, 50, 51], "intro": [1, 30, 52, 56], "1": [1, 9, 10, 24, 31, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 50, 57], "n": [1, 14, 16, 19, 20, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 34, 35, 38, 45, 48, 50, 51, 52, 53, 54, 55, 56, 58, 59], "decis": [1, 3, 7, 15, 17, 20, 21, 23, 25, 30, 38, 42, 43, 46, 49, 51, 56, 59], "tree": [1, 3, 13, 15, 16, 17, 18, 19, 20, 22, 25, 27, 30, 31, 38, 42, 43, 44, 45, 46, 48, 51, 53, 56, 59], "2": [1, 5, 9, 10, 11, 21, 23, 24, 25, 28, 31, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 47, 50, 54, 57], "3": [1, 9, 11, 18, 19, 20, 21, 22, 23, 24, 28, 29, 30, 31, 33, 34, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 50, 54, 55, 56, 57, 59], "less": [1, 6, 7, 13, 16, 18, 19, 20, 21, 22, 23, 24, 25, 27, 28, 29, 32, 33, 34, 38, 39, 43, 46, 48, 49, 50, 51, 53, 54, 55], "depth": [1, 14, 15, 20, 23, 27, 35, 38, 45, 46, 49, 53], "14": [1, 9, 13, 14, 15, 16, 17, 18, 20, 21, 22, 25, 27, 28, 30, 31, 32, 34, 35, 36, 37, 41, 43, 46, 47, 48, 49, 51, 53, 54, 55, 56, 58], "ml": [1, 3, 10, 12, 14, 17, 23, 27, 30, 37, 43, 47, 49, 53, 56], "fundament": [1, 3, 10, 12, 13, 17, 19, 20, 22, 25, 30, 32, 43, 45, 46, 48, 51, 56], "similar": [1, 11, 14, 15, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 33, 36, 45, 46, 47, 48, 49, 51, 52, 53, 54, 58], "k": [1, 8, 12, 15, 19, 21, 22, 23, 25, 29, 30, 32, 34, 36, 38, 40, 41, 43, 45, 48, 49, 51, 55, 56], "nn": [1, 17, 30, 36, 38, 40, 41, 43, 56, 59], "svm": [1, 15, 17, 18, 20, 23, 24, 25, 30, 31, 42, 43, 44, 46, 49, 50, 51, 56, 60], "rbf": [1, 15, 17, 19, 20, 23, 24, 25, 42, 43, 45, 46, 49, 50, 51], "kernel": [1, 11, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 43, 44, 45, 50, 51, 58, 59, 60], "21": [1, 9, 13, 14, 16, 17, 18, 21, 22, 25, 26, 28, 31, 32, 34, 35, 37, 41, 44, 47, 48, 51, 52, 55], "preprocess": [1, 12, 13, 15, 19, 20, 21, 23, 24, 25, 27, 28, 30, 32, 34, 36, 37, 39, 45, 46, 47, 49, 50, 51, 53, 54, 56], "sklearn": [1, 13, 15, 16, 19, 22, 25, 27, 28, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 41, 42, 45, 47, 48, 51, 53, 54, 56, 58, 59, 60], "pipelin": [1, 3, 12, 13, 15, 18, 19, 20, 21, 22, 23, 24, 25, 30, 31, 32, 34, 37, 38, 39, 42, 45, 46, 47, 48, 49, 50, 51, 56, 60], "columntransform": [1, 17, 20, 21, 22, 23, 24, 25, 31, 32, 37, 39, 42, 46, 48, 49, 50, 51], "text": [1, 8, 12, 13, 14, 19, 20, 21, 22, 23, 24, 28, 30, 34, 38, 45, 46, 47, 49, 50, 54, 56, 59], "featur": [1, 12, 15, 21, 23, 27, 29, 32, 35, 36, 38, 39, 40, 46, 49, 52, 53, 55, 57, 59], "28": [1, 9, 16, 17, 18, 19, 20, 21, 22, 25, 26, 31, 38, 41, 46, 47, 48, 49, 51, 52, 55], "linear": [1, 20, 21, 23, 25, 27, 28, 30, 31, 32, 42, 46, 48, 49, 53, 54, 56], "model": [1, 2, 3, 12, 20, 21, 26, 27, 31, 33, 37, 39, 40, 41, 43, 44, 46, 47, 53, 59], "03": [1, 9, 19, 20, 22, 24, 25, 31, 34, 35, 46, 50, 51, 54], "hyperparamet": [1, 15, 21, 28, 29, 30, 35, 38, 44, 47, 54, 55, 56, 58, 59, 60], "optim": [1, 3, 14, 15, 16, 18, 21, 23, 24, 25, 26, 27, 30, 32, 35, 36, 38, 47, 49, 50, 51, 52, 53, 56], "overfit": [1, 12, 16, 19, 22, 23, 25, 30, 34, 35, 38, 45, 48, 49, 51, 56, 59], "valid": [1, 14, 16, 18, 22, 23, 24, 25, 26, 30, 32, 36, 37, 38, 42, 45, 48, 49, 50, 51, 52, 56, 59, 60], "set": [1, 9, 10, 14, 16, 17, 18, 19, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 37, 38, 39, 43, 44, 45, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59], "8": [1, 9, 10, 14, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 39, 40, 41, 42, 43, 44, 45, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 59], "differ": [1, 3, 6, 9, 11, 12, 13, 14, 15, 16, 18, 19, 23, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 37, 40, 43, 44, 45, 46, 49, 51, 52, 53, 54, 55, 56, 58, 59, 60], "05": [1, 9, 16, 17, 20, 21, 22, 27, 28, 31, 32, 37, 39, 46, 48, 53, 54, 55], "evalu": [1, 9, 12, 14, 15, 20, 22, 24, 26, 31, 39, 46, 47, 50, 52, 58, 60], "metric": [1, 12, 16, 18, 23, 24, 25, 26, 27, 28, 29, 30, 32, 37, 41, 49, 50, 51, 52, 53, 54, 55, 56], "classif": [1, 3, 12, 15, 16, 17, 18, 19, 22, 23, 24, 25, 29, 31, 32, 35, 40, 41, 43, 45, 48, 49, 50, 51, 55, 58], "refer": [1, 9, 13, 14, 15, 16, 17, 18, 19, 21, 24, 26, 28, 29, 30, 47, 50, 52, 54, 55, 56, 57, 58, 59, 60], "9": [1, 5, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 41, 42, 43, 44, 45, 46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59], "regress": [1, 3, 12, 13, 17, 18, 24, 25, 31, 32, 35, 38, 39, 43, 46, 47, 50, 58, 59], "move": [1, 8, 19, 24, 25, 28, 38, 45, 50, 51], "thursdai": [1, 21, 22, 24, 48, 57], "ensembl": [1, 12, 22, 24, 25, 27, 28, 31, 32, 48, 50, 51, 53, 54], "interpret": [1, 11, 12, 16, 17, 21, 22, 23, 25, 26, 27, 28, 30, 32, 40, 43, 47, 48, 49, 51, 52, 53, 54, 56], "new": [1, 7, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 25, 26, 27, 28, 30, 31, 32, 36, 37, 38, 43, 46, 49, 50, 51, 52, 53, 54, 56], "engin": [1, 10, 12, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 28, 29, 35, 38, 42, 44, 48, 54, 55, 60], "24": [1, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 36, 37, 40, 41, 42, 43, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56], "select": [1, 6, 7, 11, 12, 15, 16, 17, 18, 19, 20, 21, 22, 23, 30, 31, 33, 43, 44, 45, 46, 47, 48, 49, 56], "none": [1, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 28, 29, 31, 32, 35, 38, 40, 41, 43, 45, 46, 47, 48, 49, 51, 53, 55, 58, 59, 60], "31": [1, 9, 13, 16, 17, 18, 19, 21, 22, 24, 25, 26, 31, 35, 39, 40, 41, 43, 47, 48, 49, 50, 51, 52, 55], "cluster": [1, 3, 12, 29, 31, 55], "nov": [1, 31, 54, 56], "07": [1, 9, 20, 22, 25, 31, 37, 46, 48, 51], "simpl": [1, 14, 16, 17, 21, 22, 23, 24, 27, 28, 29, 31, 33, 34, 38, 39, 42, 48, 49, 50, 53, 54, 55, 60], "recommend": [1, 3, 9, 11, 12, 15, 16, 20, 21, 26, 29, 30, 38, 46, 52, 55, 56, 57], "system": [1, 3, 5, 6, 7, 11, 12, 13, 15, 16, 18, 21, 24, 26, 29, 31, 39, 50, 52, 55], "09": [1, 9, 15, 18, 20, 22, 28, 31, 39, 46, 48], "data": [1, 3, 6, 8, 9, 10, 11, 12, 27, 32, 33, 34, 36, 38, 40, 41, 42, 43, 45, 47, 57, 59, 60], "embed": [1, 12, 18, 30, 56], "16": [1, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 25, 27, 31, 32, 35, 41, 42, 44, 46, 47, 48, 49, 51, 53, 55, 58], "break": [1, 20, 21, 26, 31, 34, 37, 38, 42, 43, 47, 52, 59], "neural": [1, 12, 25, 31, 34, 51], "network": [1, 12, 18, 23, 25, 26, 28, 31, 33, 34, 40, 44, 49, 51, 52, 54], "comput": [1, 8, 9, 10, 11, 18, 20, 21, 23, 24, 25, 26, 27, 29, 31, 34, 36, 40, 41, 42, 44, 46, 47, 50, 51, 52, 53, 55, 59, 60], "vision": [1, 13, 40], "time": [1, 2, 3, 5, 9, 12, 14, 15, 16, 17, 19, 20, 21, 22, 23, 24, 25, 27, 28, 29, 30, 33, 34, 37, 38, 39, 40, 42, 43, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 59, 60], "seri": [1, 2, 3, 12, 15, 17, 18, 21, 25, 30, 32, 51, 55, 56], "option": [1, 8, 9, 13, 14, 18, 22, 24, 29, 32, 35, 38, 40, 41, 47, 48, 50, 55, 57, 60], "humour": 1, "problem": [1, 5, 7, 12, 13, 18, 19, 21, 22, 23, 24, 26, 27, 30, 32, 34, 35, 37, 38, 42, 43, 45, 47, 48, 49, 50, 52, 53, 56, 57, 58], "timezon": 1, "23": [1, 9, 11, 16, 17, 18, 19, 20, 21, 22, 25, 28, 31, 35, 37, 39, 40, 41, 43, 45, 46, 47, 48, 51, 54, 55], "surviv": [1, 3, 12], "analysi": [1, 3, 10, 12, 13, 14, 21, 22, 26, 27, 29, 52, 55], "highli": [1, 11, 17, 24, 28, 38, 43, 50, 54], "call": [1, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60], "bullshit": [1, 32], "censor": [1, 12], "commun": [1, 3, 11, 12, 13, 18, 20, 22, 46, 48, 55, 57], "bs": [1, 22, 48], "chapter": 1, "short": [1, 15, 20, 23, 46, 57], "47": [1, 9, 13, 14, 15, 16, 17, 19, 20, 22, 25, 28, 35, 38, 46, 48, 51], "min": [1, 19, 22, 27, 31, 35, 37, 41, 45, 47, 48, 53, 58, 59], "total": [1, 9, 13, 14, 17, 18, 21, 22, 23, 25, 28, 29, 31, 32, 44, 47, 48, 49, 51, 54, 55, 58], "read": [1, 5, 8, 13, 16, 17, 18, 21, 22, 23, 24, 29, 31, 33, 36, 38, 48, 49, 51, 55, 57, 60], "graph": [1, 30, 36, 40, 41, 56], "becaus": [1, 9, 11, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 36, 38, 39, 40, 41, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57], "i": [1, 6, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 36, 37, 38, 40, 41, 43, 44, 45, 46, 47, 48, 50, 51, 52, 53, 54, 55, 56, 57, 58], "t": [1, 5, 6, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59], "sabrina": 1, "ethic": [1, 12, 13], "50": [1, 9, 13, 16, 17, 18, 21, 22, 23, 25, 27, 28, 29, 30, 31, 32, 34, 35, 37, 39, 40, 44, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 60], "scienc": [1, 3, 10, 11, 12, 13, 18, 26, 31, 42, 44, 52], "fun": [1, 13, 21, 29, 30, 55, 56], "llm": 1, "deploy": [1, 2, 12, 24, 31, 50], "conclus": 1, "pleas": [1, 5, 8, 13, 14, 17, 18, 20, 21, 22, 23, 25, 28, 29, 30, 35, 36, 37, 38, 39, 40, 41, 43, 45, 46, 47, 48, 49, 54, 55, 56, 57, 58, 59, 60], "campu": [1, 25, 51, 57], "rule": [1, 9, 13, 14, 16, 19, 21, 23, 29, 37, 38, 39, 42, 45, 55, 57, 59], "mask": [1, 43, 46, 57], "go": [1, 6, 8, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 28, 29, 30, 31, 32, 34, 36, 38, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 53, 54, 55, 56, 57, 58, 59], "longer": [1, 20, 21, 30, 32, 46, 47, 56, 57], "requir": [1, 6, 8, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 43, 44, 46, 47, 49, 50, 51, 52, 53, 55, 56, 57, 58, 59, 60], "faculti": [1, 13, 57], "staff": [1, 7, 57], "wear": [1, 13, 57], "medic": [1, 13, 21, 26, 47, 52, 57], "continu": [1, 18, 20, 22, 23, 26, 31, 37, 46, 48, 49, 57, 58], "worn": [1, 57], "indoor": [1, 57], "health": [1, 28, 29, 54, 55, 57], "ill": [1, 57], "believ": [1, 8, 13, 20, 24, 31, 35, 46, 50, 57, 59], "symptom": [1, 57], "been": [1, 5, 7, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 43, 44, 45, 46, 47, 48, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60], "expos": [1, 38, 57], "sar": [1, 57], "cov": [1, 52, 57], "thrive": [1, 57], "self": [1, 9, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 32, 34, 35, 37, 38, 40, 41, 48, 57, 60], "tool": [1, 9, 12, 18, 19, 20, 21, 22, 27, 28, 31, 32, 38, 42, 46, 47, 48, 50, 53, 57, 58, 59, 60], "guidanc": [1, 24, 50, 57], "download": [1, 6, 8, 11, 13, 14, 17, 19, 22, 24, 25, 29, 30, 33, 34, 35, 48, 50, 51, 54, 55, 56, 57], "bc": [1, 13, 57], "support": [1, 11, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 53, 55, 57, 58, 59, 60], "app": [1, 13, 14, 57], "io": [1, 10, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 30, 32, 35, 38, 40, 48, 51, 56, 57, 60], "android": [1, 57], "devic": [1, 30, 36, 40, 41, 56, 57], "instruct": [1, 4, 5, 6, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 57, 59, 60], "advic": [1, 15, 51, 57], "stai": [1, 13, 21, 32, 57], "home": [1, 14, 19, 21, 28, 34, 37, 51, 55, 57, 59], "recent": [1, 9, 11, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 29, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 43, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60], "test": [1, 8, 9, 11, 13, 14, 16, 17, 18, 19, 21, 22, 23, 24, 27, 28, 30, 32, 34, 37, 38, 41, 42, 43, 44, 45, 47, 48, 49, 50, 53, 54, 56, 57, 58, 59], "posit": [1, 13, 14, 15, 16, 17, 18, 19, 22, 23, 24, 25, 28, 29, 31, 39, 45, 48, 49, 50, 51, 55, 57], "quarantin": [1, 57], "websit": [1, 5, 11, 55, 57], "should": [1, 6, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 21, 24, 25, 26, 29, 30, 31, 32, 35, 37, 45, 50, 51, 52, 55, 56, 57, 58, 59, 60], "isol": [1, 11, 21, 22, 24, 48, 50, 57], "monitor": [1, 14, 29, 55, 57], "precaut": [1, 57], "help": [1, 4, 8, 11, 13, 15, 17, 18, 20, 21, 24, 26, 27, 28, 31, 32, 37, 46, 47, 50, 52, 53, 54, 57, 58, 59, 60], "reduc": [1, 8, 9, 13, 16, 20, 21, 22, 23, 24, 25, 28, 29, 30, 34, 46, 49, 50, 51, 54, 55, 56, 57], "risk": [1, 13, 21, 25, 51, 57], "keep": [1, 15, 16, 17, 18, 21, 23, 24, 25, 28, 29, 32, 35, 38, 47, 49, 50, 51, 52, 54, 55, 57, 59, 60], "everyon": [1, 7, 13, 33, 57], "safer": [1, 57], "mark": [1, 7, 8, 13, 20, 21, 27, 46, 57], "scheme": 1, "flexibl": [1, 13, 25, 29, 30, 34, 51, 52, 56, 57, 58], "priorit": [1, 25, 51, 57], "still": [1, 5, 11, 13, 15, 20, 21, 22, 23, 25, 26, 28, 31, 32, 34, 38, 39, 46, 48, 49, 51, 52, 57], "abl": [1, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 31, 34, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57], "succe": [1, 13, 25, 51, 57], "onlin": [1, 2, 4, 6, 8, 11, 14, 29, 38, 55, 57], "done": [1, 6, 11, 13, 15, 18, 20, 21, 30, 31, 38, 44, 54, 56, 57, 58], "hand": [1, 5, 10, 12, 13, 21, 28, 37, 41, 57], "held": [1, 57], "But": [1, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 37, 39, 40, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 59, 60], "need": [1, 6, 8, 9, 11, 13, 14, 16, 18, 21, 22, 23, 24, 25, 26, 27, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 47, 48, 49, 50, 51, 52, 53, 57, 58, 59], "present": [1, 8, 15, 16, 21, 28, 29, 31, 36, 38, 51, 54, 55, 57], "write": [1, 5, 8, 12, 13, 15, 20, 24, 25, 26, 29, 39, 51, 52, 55, 57, 59, 60], "unless": [1, 8, 13, 30, 33, 38, 56, 57], "legitim": [1, 57], "most": [1, 8, 9, 11, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 33, 34, 35, 37, 39, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60], "activ": [1, 5, 11, 13, 20, 34, 57, 58], "few": [1, 9, 13, 19, 22, 23, 25, 28, 30, 31, 37, 38, 48, 49, 51, 54, 55, 56, 57, 59], "offic": [1, 5, 11, 13, 16, 57], "hour": [1, 5, 11, 13, 16, 21, 23, 24, 25, 28, 31, 39, 49, 50, 51, 54, 57, 58], "which": [1, 5, 7, 8, 9, 11, 15, 16, 17, 18, 19, 20, 22, 24, 25, 28, 29, 30, 31, 32, 33, 35, 36, 37, 38, 39, 43, 44, 45, 46, 48, 50, 51, 54, 55, 56, 57, 58, 59], "s": [1, 5, 6, 8, 9, 10, 11, 14, 19, 20, 23, 25, 26, 27, 29, 30, 32, 33, 35, 36, 38, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 56, 57, 58, 59, 60], "grei": 1, "tradit": [1, 13, 28, 30, 32, 54, 56], "ancestr": 1, "unced": 1, "territori": [1, 13], "xwm\u0259\u03b8kw\u0259y": 1, "\u0259m": 1, "musqueam": 1, "pepl": 1, "situat": [1, 7, 13, 21, 23, 26, 30, 32, 49, 52, 56, 57], "ha": [1, 2, 3, 6, 7, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60], "place": [1, 6, 31, 38], "peopl": [1, 5, 13, 14, 15, 17, 19, 21, 23, 24, 25, 28, 29, 30, 31, 32, 38, 39, 41, 51, 54, 55, 56], "who": [1, 5, 6, 7, 13, 18, 21, 25, 26, 28, 31, 32, 33, 38, 51, 53, 55, 58], "millennia": 1, "pass": [1, 9, 13, 14, 15, 17, 18, 19, 21, 22, 23, 24, 25, 26, 29, 30, 33, 34, 37, 40, 44, 45, 48, 49, 50, 51, 52, 55, 56, 58, 60], "cultur": [1, 30, 56], "histori": [1, 13, 19, 28, 31, 45, 54], "one": [1, 7, 9, 10, 11, 13, 14, 15, 16, 17, 19, 20, 21, 22, 23, 24, 26, 27, 28, 30, 31, 32, 33, 35, 36, 37, 39, 42, 43, 44, 45, 46, 47, 49, 50, 52, 53, 54, 56, 57, 58, 59], "gener": [1, 8, 9, 10, 13, 14, 17, 18, 20, 21, 22, 24, 27, 29, 30, 31, 32, 38, 39, 43, 46, 47, 50, 52, 53, 55, 56, 57, 59], "site": [1, 6, 9, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 32, 34, 35, 37, 38, 40, 41, 48, 51, 58, 59, 60], "It": [1, 3, 5, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 36, 37, 38, 41, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 59], "recognit": [1, 13, 14, 16, 21, 29, 33, 55], "our": [1, 6, 7, 9, 11, 13, 14, 16, 18, 19, 20, 21, 22, 23, 26, 27, 28, 29, 30, 31, 33, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 52, 53, 54, 55, 56, 58, 59, 60], "relationship": [1, 12, 21, 23, 24, 25, 28, 31, 38, 39, 49, 50, 51], "doe": [1, 6, 9, 11, 13, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 28, 29, 31, 32, 35, 37, 38, 42, 43, 44, 46, 48, 49, 50, 51, 54, 55, 58, 59, 60], "appear": [1, 3, 8, 14, 18, 23, 29, 33, 49, 55, 60], "just": [1, 5, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 31, 32, 37, 38, 45, 46, 47, 48, 49, 50, 51, 52, 54, 55, 56, 59], "formal": 1, "take": [1, 3, 5, 6, 7, 11, 13, 14, 15, 16, 17, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 31, 32, 34, 37, 45, 46, 47, 48, 49, 50, 51, 52, 55, 56, 58, 59], "moment": [1, 13, 21, 28, 54, 55, 56], "appreci": [1, 12, 38], "mean": [1, 6, 7, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 25, 28, 30, 31, 32, 34, 35, 36, 37, 38, 40, 41, 43, 44, 46, 47, 49, 50, 51, 54, 56, 59, 60], "behind": [1, 12, 19, 45], "word": [1, 12, 13, 19, 20, 21, 26, 27, 28, 30, 32, 35, 37, 38, 42, 45, 52, 53, 54, 56, 58, 60], "recogn": [1, 12, 15, 27, 31, 53], "tradition": 1, "occupi": 1, "nation": 1, "part": [1, 5, 10, 11, 13, 17, 18, 19, 20, 21, 23, 24, 25, 27, 29, 31, 34, 46, 47, 49, 50, 51, 53, 55], "countri": [1, 13, 15, 16, 18, 19, 21, 23, 24, 29, 39, 45, 49, 50, 55], "down": [1, 13, 15, 21, 24, 32, 37, 47, 50, 55], "wa": [1, 2, 5, 6, 11, 13, 14, 15, 16, 17, 19, 20, 21, 23, 24, 25, 26, 28, 29, 30, 32, 33, 37, 38, 43, 49, 50, 51, 52, 54, 55, 56, 58, 59, 60], "turn": [1, 5, 13, 15, 29, 30, 32, 36, 38, 40, 41, 55, 56], "over": [1, 13, 15, 20, 22, 24, 28, 29, 31, 32, 33, 34, 38, 42, 46, 48, 50, 54, 55, 57], "crown": 1, "govern": [1, 29, 34, 55], "treati": 1, "agreement": [1, 32], "As": [1, 5, 13, 15, 18, 20, 22, 23, 24, 30, 31, 32, 33, 38, 44, 45, 48, 49, 50, 59], "begin": [1, 13, 14, 19, 25, 28, 29, 31, 32, 37, 45, 51, 54, 55, 60], "journei": [1, 27, 53], "some": [1, 2, 5, 7, 8, 9, 11, 13, 15, 16, 17, 18, 19, 22, 24, 26, 27, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 41, 43, 47, 48, 50, 52, 53, 56, 57, 58, 59], "about": [1, 3, 5, 8, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 27, 30, 31, 32, 33, 34, 35, 37, 38, 40, 42, 45, 46, 47, 48, 49, 50, 53, 56, 57, 58, 59], "honour": 1, "its": [1, 9, 12, 13, 15, 16, 18, 19, 21, 24, 25, 26, 27, 29, 30, 31, 32, 36, 37, 38, 45, 47, 50, 51, 52, 53, 55, 56, 58, 60], "origin": [1, 9, 13, 17, 18, 21, 23, 24, 25, 26, 28, 29, 30, 31, 32, 43, 44, 49, 50, 51, 54, 55, 56], "inhabit": [1, 13], "cours": [2, 3, 5, 6, 7, 8, 11, 14, 15, 16, 18, 19, 21, 22, 23, 24, 25, 26, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 40, 41, 45, 47, 48, 49, 50, 51, 52, 55, 56, 58], "design": [2, 13, 14, 27, 28, 30, 53, 54, 56], "taught": [2, 18, 29, 55, 57], "spring": 2, "2020": [2, 25, 51], "further": [2, 21, 23, 26, 30, 32, 33, 35, 39, 52, 55, 56], "materi": [2, 9, 11, 13, 14, 15, 16, 29, 32, 55, 57], "exercis": [2, 10, 13], "come": [2, 11, 13, 14, 17, 18, 21, 25, 28, 29, 30, 31, 32, 38, 47, 51, 54, 55, 56, 58, 59], "introduct": [2, 10, 12, 31, 32, 35], "machin": [2, 3, 10, 11, 12, 17, 18, 20, 22, 23, 24, 25, 28, 29, 30, 31, 33, 34, 37, 42, 43, 44, 46, 47, 48, 49, 50, 51, 54, 55, 56, 57, 58, 59], "learn": [2, 3, 10, 11, 34, 37, 40, 42, 57, 58, 59], "haylei": [2, 14], "boyc": [2, 14], "sincer": 2, "thank": [2, 28, 59], "toma": 2, "beuzen": 2, "contribut": [2, 16, 19, 24, 30, 50, 52, 56, 57], "close": [3, 13, 15, 19, 20, 21, 25, 26, 27, 29, 31, 41, 45, 46, 47, 51, 53, 55, 57, 59], "relat": [3, 7, 13, 19, 21, 22, 23, 24, 25, 26, 28, 31, 32, 33, 45, 48, 49, 50, 51, 52, 54, 57], "field": [3, 5, 13, 18, 29, 30, 31, 55, 56], "make": [3, 5, 6, 7, 8, 11, 12, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 38, 39, 42, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60], "predict": [3, 12, 15, 16, 17, 20, 21, 22, 25, 26, 27, 31, 34, 35, 37, 38, 39, 42, 43, 44, 46, 47, 48, 51, 52, 53, 56, 59, 60], "produc": [3, 8, 13, 22, 24, 27, 37, 48, 49, 50, 53], "insight": [3, 12, 16, 21, 24, 26, 50, 52], "overlap": [3, 15, 26, 52], "between": [3, 9, 11, 12, 13, 15, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 30, 31, 32, 33, 35, 37, 38, 40, 41, 42, 45, 47, 49, 50, 51, 52, 53, 54, 56, 59], "howev": [3, 9, 13, 17, 18, 21, 22, 24, 26, 30, 31, 32, 36, 39, 43, 50, 52, 57, 58, 59, 60], "wherea": [3, 14, 19, 20, 22, 24, 27, 37, 45, 48, 50, 53], "involv": [3, 5, 13, 20, 22, 23, 27, 29, 30, 46, 48, 49, 53, 55, 56], "implement": [3, 5, 13, 17, 21, 22, 23, 25, 26, 27, 28, 29, 30, 32, 43, 49, 51, 53, 54, 55], "algorithm": [3, 12, 13, 15, 17, 18, 21, 22, 23, 24, 28, 29, 30, 34, 39, 43, 44, 48, 49, 50, 54, 55, 56, 59], "scratch": [3, 30, 56], "broader": [3, 23, 29, 49, 55], "like": [3, 5, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 37, 38, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60], "clean": [3, 27, 35, 37, 38, 53, 57], "result": [3, 8, 9, 11, 12, 13, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 30, 31, 32, 37, 38, 43, 45, 46, 48, 49, 50, 51, 52, 53, 56, 57, 58, 59], "goe": [3, 13, 15, 16, 18, 21, 23, 24, 27, 28, 30, 44, 50, 53, 54, 56], "deeper": [3, 13, 20, 21, 22], "mathemat": [3, 18, 23, 42, 44, 49], "numer": [3, 14, 17, 18, 19, 21, 22, 23, 28, 29, 31, 32, 36, 37, 43, 44, 48, 49, 54, 55], "consider": [3, 12, 21, 23, 26, 28, 49, 52, 54], "underli": [3, 24, 25, 26, 50, 51, 52], "prerequisit": [3, 32, 57], "especi": [3, 13, 14, 16, 20, 21, 23, 31, 38, 47], "math": [3, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 51, 52, 54, 58, 59, 60], "best": [3, 8, 13, 14, 15, 16, 20, 21, 22, 23, 24, 26, 27, 28, 35, 36, 38, 39, 46, 47, 48, 49, 50, 52, 53, 54], "choic": [3, 16, 20, 22, 23, 24, 25, 26, 27, 28, 46, 49, 50, 51, 52, 53, 54], "depend": [3, 9, 11, 13, 14, 15, 16, 18, 20, 21, 22, 23, 26, 27, 31, 32, 38, 45, 46, 48, 49, 52, 53], "interest": [3, 13, 15, 20, 21, 22, 23, 24, 25, 27, 28, 29, 30, 31, 32, 34, 37, 38, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56], "goal": [3, 12, 16, 17, 20, 21, 25, 26, 27, 28, 43, 46, 47, 51, 52, 54, 58], "perfectli": 3, "both": [3, 7, 13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 31, 32, 37, 38, 39, 43, 45, 46, 48, 49, 50, 51, 52, 54, 55, 56, 57, 58, 59, 60], "onli": [3, 5, 9, 11, 13, 14, 15, 16, 17, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 46, 47, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59], "natur": [3, 13, 18, 21, 23, 25, 30, 37, 38, 51, 56, 57], "languag": [3, 10, 13, 17, 18, 25, 28, 30, 33, 34, 43, 51, 54, 56], "process": [3, 6, 12, 13, 14, 17, 18, 20, 25, 27, 30, 33, 46, 51, 53, 56, 58, 59], "probabilist": [3, 52, 55], "loss": [3, 21, 22, 23, 24, 32, 39, 48, 49, 50], "function": [3, 13, 14, 15, 16, 18, 20, 21, 23, 24, 25, 28, 30, 31, 32, 33, 34, 36, 49, 50, 51, 52, 54, 55, 56, 58, 59], "major": [3, 13, 15, 16, 17, 18, 29, 42, 44, 55, 59], "dimension": [3, 9, 19, 20, 21, 23, 25, 26, 29, 34, 36, 43, 45, 46, 49, 51, 52, 55], "reduct": [3, 21, 23, 25, 26, 49, 51, 52], "typic": [3, 13, 14, 16, 17, 19, 20, 21, 22, 23, 26, 31, 45, 47, 48, 49, 52], "veri": [3, 5, 6, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 37, 38, 40, 43, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58], "basic": [3, 9, 13, 14, 20, 25, 28, 32, 51, 54, 60], "method": [3, 12, 14, 16, 17, 19, 21, 23, 24, 27, 28, 29, 30, 31, 32, 34, 35, 36, 38, 43, 45, 47, 49, 50, 53, 54, 55, 56, 58, 59], "knn": [3, 15, 16, 17, 18, 19, 24, 25, 28, 30, 42, 43, 44, 45, 50, 51, 54, 56], "etc": [3, 8, 9, 14, 25, 28, 30, 31, 32, 41, 50, 51, 54, 55, 56, 57], "deep": [3, 10, 12, 13, 20, 24, 25, 29, 32, 34, 46, 50, 51, 55], "submiss": [4, 15, 16, 55, 58], "grade": [4, 8, 15, 17, 18, 20, 35, 42, 43, 44, 46], "polici": [4, 5, 8, 13, 57], "environ": [4, 6, 9, 13, 17, 18, 20, 21, 22, 23, 24, 25, 29, 30, 33, 34, 35, 36, 37, 38, 39, 40, 41, 43, 46, 48, 49, 50, 51, 55, 56, 58, 59], "setup": [4, 8, 11, 13], "git": [4, 8, 9, 13], "ask": [4, 8, 11, 13, 14, 15, 16, 18, 21, 25, 26, 28, 29, 32, 47, 51, 54, 55, 58], "python": [4, 5, 12, 20, 22, 25, 28, 29, 30, 31, 32, 34, 51, 56, 57], "textbook": [4, 10, 55], "well": [5, 6, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 30, 31, 32, 38, 43, 46, 47, 48, 49, 50, 52, 53, 54, 56, 57], "asid": [5, 13, 15, 23, 38, 49], "standard": [5, 7, 15, 17, 20, 23, 24, 25, 39, 43, 46, 49, 50, 51, 59], "ubc": [5, 6, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 42, 43, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56], "here": [5, 6, 8, 9, 10, 11, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 37, 38, 40, 41, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 60], "re": [5, 9, 13, 14, 15, 18, 20, 21, 22, 23, 24, 26, 28, 29, 30, 31, 32, 34, 38, 48, 49, 50, 52, 54, 55, 56, 58], "expect": [5, 8, 9, 13, 15, 16, 17, 18, 19, 20, 21, 22, 24, 25, 26, 27, 28, 30, 31, 32, 34, 36, 38, 45, 46, 47, 48, 50, 51, 52, 53, 54, 56, 58, 59], "platform": 5, "when": [5, 7, 8, 11, 13, 14, 15, 16, 18, 19, 21, 22, 23, 24, 25, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37, 38, 42, 43, 44, 45, 47, 48, 49, 50, 51, 53, 54, 55, 56, 57, 58, 60], "offens": [5, 28, 54], "disrespect": 5, "quick": [5, 13, 29, 55, 59], "search": [5, 6, 11, 22, 28, 48, 54, 59], "sure": [5, 8, 9, 11, 13, 15, 18, 21, 22, 23, 24, 27, 31, 39, 49, 50, 51, 55, 56, 58, 59], "hasn": [5, 13, 28, 54, 55], "alreadi": [5, 9, 11, 13, 21, 22, 24, 25, 26, 28, 29, 31, 32, 48, 50, 51, 52, 54, 55], "answer": [5, 7, 8, 13, 14, 15, 20, 21, 23, 26, 28, 29, 30, 31, 46, 49, 52, 54, 55, 56, 57, 58, 59, 60], "filter": [5, 12, 13, 15, 26, 52], "tag": [5, 25, 29, 34, 51, 55], "keyword": [5, 14, 20, 25, 51], "amount": [5, 13, 15, 19, 20, 21, 22, 24, 26, 28, 30, 31, 32, 39, 45, 46, 47, 48, 50, 52, 54, 56], "thought": [5, 16, 24, 26, 32, 38], "effort": [5, 11, 13, 20, 25, 26, 30, 46, 51, 56, 57], "don": [5, 11, 13, 15, 18, 20, 21, 23, 24, 25, 26, 27, 28, 30, 31, 32, 35, 36, 37, 38, 44, 46, 47, 49, 50, 51, 53, 54, 55, 56], "whose": [5, 13, 38], "googl": [5, 13, 14, 15, 23, 24, 25, 26, 28, 29, 39, 51, 52, 54, 55], "These": [5, 11, 13, 14, 15, 16, 19, 21, 22, 23, 24, 25, 26, 31, 45, 48, 49, 50, 51, 52], "awai": [5, 7, 13, 14, 19, 26, 28, 30, 32, 33, 38, 52, 54, 56], "being": [5, 13, 15, 17, 21, 22, 23, 24, 26, 27, 28, 29, 32, 43, 47, 50, 52, 53, 54, 55], "stuck": [5, 9], "second": [5, 7, 13, 14, 19, 23, 24, 27, 31, 38, 49, 50, 53, 57], "solv": [5, 13, 14, 16, 25, 26, 28, 29, 51, 55, 57], "On": [5, 13, 17, 18, 20, 21, 22, 23, 24, 25, 27, 30, 32, 35, 36, 37, 38, 39, 40, 41, 43, 46, 48, 49, 50, 53, 56], "wait": [5, 14, 16, 18, 32, 44, 57, 59], "until": [5, 14, 15, 20, 25, 26, 27, 28, 32, 41, 46, 51, 52, 53, 55, 59], "pain": [5, 30, 31, 56], "debug": [5, 24, 50], "At": [5, 13, 15, 19, 21, 23, 25, 26, 30, 31, 45, 49, 51, 52, 56], "becom": [5, 13, 15, 16, 19, 20, 21, 24, 25, 26, 29, 43, 45, 46, 50, 51, 52, 55], "wast": [5, 13, 18, 38], "exception": 5, "frustrat": [5, 7, 20, 38, 46], "bug": [5, 9, 53], "happen": [5, 7, 13, 16, 18, 20, 23, 24, 25, 28, 31, 32, 33, 37, 42, 46, 49, 50, 51, 54], "rough": 5, "someth": [5, 11, 13, 14, 18, 21, 22, 23, 24, 26, 28, 31, 32, 33, 48, 50, 52, 54], "minut": [5, 13, 14, 25, 32, 38, 51, 57], "avoid": [5, 8, 9, 14, 17, 21, 22, 27, 31, 39, 48, 51, 53, 57], "partial": [5, 32], "code": [5, 8, 9, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60], "much": [5, 6, 9, 13, 14, 15, 16, 17, 18, 21, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 38, 41, 47, 49, 50, 51, 52, 53, 54, 55, 56, 57], "relev": [5, 9, 12, 14, 16, 17, 20, 24, 31, 43, 50], "possibl": [5, 6, 7, 8, 9, 13, 14, 15, 17, 20, 21, 23, 24, 27, 28, 30, 32, 35, 37, 38, 39, 40, 42, 43, 46, 47, 49, 50, 53, 54, 56], "librari": [5, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 51, 55, 56, 58, 59, 60], "oper": [5, 9, 11, 18, 29, 55], "command": [5, 11, 13, 21, 29, 34, 58], "execut": [5, 26], "entir": [5, 9, 13, 15, 22, 25, 30, 31, 38, 51, 56, 59], "error": [5, 7, 8, 9, 11, 12, 13, 14, 16, 17, 18, 19, 23, 24, 25, 32, 35, 37, 38, 44, 45, 49, 50, 51, 58, 60], "messag": [5, 7, 11, 15, 18, 33, 44], "reproduc": [5, 15, 20, 23, 46, 57], "exact": [5, 26, 32], "traceback": [5, 9, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 32, 33, 34, 35, 37, 38, 39, 40, 41, 43, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60], "line": [5, 9, 11, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 43, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60], "number": [5, 7, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 25, 27, 28, 29, 30, 32, 33, 34, 40, 41, 42, 43, 44, 45, 46, 47, 48, 50, 51, 53, 54, 55, 56, 58, 59, 60], "figur": [5, 9, 11, 13, 14, 20, 22, 24, 25, 26, 27, 28, 30, 31, 32, 36, 39, 40, 41, 46, 50, 51, 52, 53, 54, 56, 58, 59], "yourself": [5, 12, 18, 21, 28, 47, 54, 55], "delet": [5, 8, 17, 28, 43], "ideal": [5, 21, 23, 25, 28, 32, 37, 47, 49, 51, 54], "d": [5, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 31, 33, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 58], "own": [5, 6, 9, 13, 15, 16, 17, 21, 22, 24, 25, 26, 27, 29, 30, 31, 50, 51, 52, 53, 55, 56, 58], "benefit": [5, 16, 23, 27, 29, 42, 53, 55], "equat": [5, 13, 19, 29, 45, 51, 55], "latex": [5, 8, 13], "syntax": [5, 9, 13, 25, 44, 51, 60], "surround": [5, 12], "two": [5, 7, 9, 10, 13, 14, 15, 16, 17, 19, 20, 21, 23, 24, 25, 26, 28, 29, 30, 31, 32, 33, 34, 37, 38, 39, 40, 42, 43, 44, 45, 46, 47, 49, 50, 51, 52, 54, 55, 56, 57, 59, 60], "dollar": [5, 19, 22, 48], "sign": [5, 13, 22, 24, 38, 48, 50, 57], "x": [5, 9, 11, 15, 16, 17, 18, 19, 21, 23, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 39, 42, 43, 44, 45, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59], "render": [5, 8, 13, 17, 18, 20, 21, 22, 23, 25, 26, 29, 30, 35, 36, 37, 38, 39, 40, 41, 43, 46, 48, 49, 51, 52, 55, 56, 58], "nice": [5, 9, 13, 20, 21, 23, 24, 27, 30, 32, 49, 50, 56], "discuss": [5, 13, 15, 16, 17, 19, 24, 25, 26, 27, 30, 31, 43, 47, 50, 51, 52, 53, 56, 57, 60], "either": [5, 14, 15, 16, 18, 21, 24, 26, 27, 29, 30, 31, 44, 50, 52, 53, 55, 56, 59], "tutori": [5, 6, 10, 11, 13, 16, 28, 30, 47, 54, 56, 57], "instructor": [5, 7, 8, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 42, 43, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57], "think": [5, 13, 14, 15, 16, 18, 19, 21, 22, 24, 25, 26, 28, 30, 31, 32, 37, 38, 39, 42, 44, 48, 50, 51, 52, 54, 56, 58, 60], "ye": [5, 13, 14, 17, 18, 24, 25, 26, 27, 28, 30, 31, 37, 42, 43, 44, 50, 51, 52, 53, 54, 56, 58], "formul": [5, 20, 46], "want": [5, 7, 8, 9, 11, 13, 14, 15, 16, 17, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 31, 33, 34, 36, 37, 38, 39, 43, 47, 48, 49, 51, 52, 53, 55, 56, 58, 59], "review": [5, 19, 25, 57], "brief": [5, 19, 23, 45, 49], "explan": [5, 15, 16], "extra": [5, 13, 31, 38, 57], "fanci": [5, 13, 20], "append": [5, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 25, 26, 27, 28, 29, 30, 32, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 49, 50, 51, 52, 53, 54, 55, 56], "l123": 5, "end": [5, 9, 12, 13, 15, 19, 20, 21, 25, 26, 27, 28, 29, 31, 32, 35, 45, 46, 47, 51, 53, 54, 55, 57, 58], "url": [5, 15, 21, 32, 33, 57], "would": [5, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 35, 37, 42, 43, 44, 45, 46, 48, 49, 50, 51, 52, 53, 55, 56, 57, 58], "123": [5, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 30, 31, 32, 34, 35, 37, 38, 39, 40, 41, 43, 45, 46, 47, 48, 49, 50, 51, 56, 59, 60], "rang": [5, 9, 15, 16, 17, 18, 19, 23, 25, 26, 28, 29, 30, 31, 32, 34, 37, 40, 41, 43, 45, 46, 49, 51, 52, 54, 55, 56, 58, 59, 60], "l9": 5, "l17": 5, "highlight": [5, 30, 56], "list": [5, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 28, 29, 32, 34, 38, 40, 41, 46, 47, 48, 49, 50, 52, 54, 55, 57, 58, 59], "send": [5, 13, 57], "teach": [5, 13, 17, 29, 33, 47, 55], "team": [5, 9, 13, 23, 28, 29, 34, 47, 54, 55], "respons": [5, 8, 13, 14, 15, 16, 38, 57], "coupl": [5, 13, 14, 20, 24, 25, 27, 28, 46, 50, 51, 53], "type": [5, 9, 11, 12, 14, 16, 17, 18, 20, 23, 25, 27, 30, 37, 38, 44, 46, 49, 50, 51, 56, 58, 59, 60], "clearli": [5, 7, 8, 20, 23, 24, 31, 46, 50, 57], "name": [5, 6, 7, 9, 11, 13, 14, 16, 17, 18, 20, 21, 23, 24, 25, 26, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 43, 45, 46, 47, 48, 49, 50, 51, 52, 53, 56, 58, 59, 60], "explain": [5, 8, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 31, 32, 42, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56], "concern": [5, 12, 18, 23, 49], "control": [6, 8, 9, 13, 14, 15, 16, 18, 19, 22, 23, 30, 38, 41, 45, 48, 49, 51, 52, 56, 57], "roughli": [6, 15, 29, 55], "speak": [6, 28], "care": [6, 8, 15, 17, 20, 21, 22, 24, 25, 26, 31, 32, 35, 42, 43, 44, 46, 47, 50, 51, 52], "togeth": [6, 9, 13, 14, 16, 17, 18, 26, 29, 37, 38, 52, 55], "collabor": [6, 8, 12, 13], "corpor": [6, 13, 25, 51], "product": [6, 20, 25, 28, 46, 51, 54], "Their": 6, "server": 6, "host": [6, 32], "serv": [6, 13, 14, 24, 50], "central": 6, "sync": 6, "won": [6, 11, 13, 14, 15, 16, 18, 19, 25, 26, 29, 30, 31, 32, 44, 45, 51, 54, 55, 56], "enterpris": 6, "allow": [6, 8, 11, 13, 15, 16, 17, 20, 21, 25, 29, 31, 32, 43, 47, 51, 55, 57, 58], "custom": [6, 9, 13, 14, 18, 21, 22, 25, 28, 33, 34, 37, 40, 44, 47, 48, 51, 54], "remain": [6, 13, 22, 25, 28, 31, 51, 54, 57], "canada": [6, 15, 16, 18, 19, 25, 29, 34, 51, 55], "henc": [6, 21, 22, 24, 26, 47, 50, 52], "pertain": 6, "those": [6, 9, 11, 13, 14, 15, 17, 22, 23, 24, 28, 32, 38, 43, 48, 49, 50, 54, 55], "comfort": 6, "sort": [6, 14, 15, 17, 28, 29, 30, 31, 38, 40, 41, 54, 55, 56, 58, 59], "thing": [6, 8, 9, 13, 14, 15, 16, 20, 21, 24, 25, 26, 27, 28, 30, 31, 32, 33, 37, 38, 46, 47, 50, 51, 52, 53, 54, 56, 60], "told": [6, 28, 57], "easier": [6, 8, 11, 21, 24, 25, 26, 28, 29, 40, 47, 50, 51, 52, 54, 55], "feel": [6, 7, 9, 13, 15, 37, 38], "rout": [6, 14, 31], "instead": [6, 9, 11, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 34, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56], "web": [6, 13, 29, 55], "base": [6, 9, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 24, 26, 27, 29, 32, 34, 36, 37, 43, 45, 46, 47, 48, 50, 52, 53, 55, 57, 58, 59], "sinc": [6, 13, 19, 22, 24, 25, 26, 28, 30, 31, 32, 34, 36, 42, 45, 48, 50, 51, 52, 54, 56], "clone": [6, 11, 13], "order": [6, 9, 13, 14, 15, 17, 18, 19, 20, 21, 22, 24, 25, 26, 27, 28, 29, 31, 33, 34, 37, 38, 42, 43, 44, 46, 48, 50, 51, 52, 53, 54, 55, 58, 59], "lectur": [6, 8, 9, 11, 44, 45, 57, 58, 59, 60], "notebook": [6, 8, 10, 11, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 30, 35, 36, 37, 38, 39, 40, 41, 43, 46, 48, 49, 50, 56, 58, 59, 60], "local": [6, 8, 11, 21, 24, 25, 26, 30, 48, 49, 50, 51, 56, 58], "open": [6, 7, 11, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 30, 35, 38, 41, 48, 56, 57, 60], "termin": [6, 11, 13, 14, 26, 52, 58], "util": [6, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 30, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 56], "folder": [6, 7, 8, 17, 40, 41, 60], "spotlight": [6, 11], "xcode": 6, "packag": [6, 9, 12, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 29, 32, 34, 35, 37, 38, 40, 41, 46, 48, 51, 52, 53, 55, 58, 59, 60], "manag": [6, 12, 13, 28, 31, 32], "sudo": 6, "apt": 6, "trick": [6, 22, 48], "scm": 6, "click": [6, 21, 28, 47, 54], "accept": [6, 8, 9, 21, 22, 29, 34, 48, 55, 58], "default": [6, 8, 11, 13, 14, 15, 18, 19, 20, 21, 22, 23, 26, 27, 30, 31, 32, 36, 39, 45, 47, 48, 49, 51, 52, 56, 60], "minim": [6, 14, 22, 26, 27, 51, 52, 53], "unix": [6, 31], "bash": 6, "shell": [6, 10, 13, 38], "return": [6, 9, 11, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 40, 41, 44, 47, 48, 51, 53, 54, 55, 56, 58, 59, 60], "success": [6, 9, 11, 13, 21, 23, 28, 30, 31, 49, 54, 56], "One": [6, 9, 13, 14, 15, 18, 19, 20, 21, 24, 26, 27, 28, 32, 37, 38, 44, 45, 46, 47, 50, 52, 54, 59], "carpentri": 6, "challeng": [7, 12, 13, 15, 25, 28, 31, 33, 51, 54, 59, 60], "report": [7, 13, 14, 20, 22, 25, 31, 46, 51], "regrad": 7, "request": [7, 17, 29, 43, 55, 57], "grading_concern": 7, "state": [7, 9, 15, 21, 23, 24, 25, 28, 49, 50, 51, 54, 55, 58], "perceiv": 7, "rais": [7, 9, 13, 18, 21, 28, 31, 32, 37, 40, 41, 58, 59], "perfect": [7, 14, 15, 21, 22, 24, 25, 32, 35, 36, 47, 48, 50, 51, 58], "random": [7, 9, 12, 15, 16, 19, 21, 25, 26, 27, 28, 29, 31, 32, 34, 36, 40, 41, 42, 45, 47, 51, 52, 53, 54, 55, 58], "normal": [7, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 36, 37, 39, 40, 41, 47, 48, 49, 50, 51, 52, 53, 55, 56], "than": [7, 13, 14, 15, 16, 17, 19, 21, 22, 23, 24, 26, 27, 28, 29, 30, 32, 33, 36, 37, 38, 39, 41, 43, 44, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57], "deserv": [7, 13, 38], "case": [7, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 31, 32, 37, 38, 43, 45, 46, 47, 48, 49, 50, 51, 52, 54, 55, 56, 57, 58, 59], "exploit": [7, 38], "consist": [7, 8, 14, 15, 17, 18, 26, 37, 52], "complain": [7, 25, 51], "too": [7, 13, 15, 17, 18, 20, 22, 23, 24, 26, 28, 31, 32, 38, 41, 44, 46, 48, 49, 50, 54, 55, 57, 59], "low": [7, 13, 15, 16, 20, 21, 22, 24, 25, 26, 27, 32, 37, 46, 47, 48, 50, 51, 52, 53], "high": [7, 12, 13, 15, 16, 19, 20, 21, 22, 23, 24, 25, 27, 28, 30, 31, 32, 37, 43, 45, 47, 48, 49, 50, 51, 53, 54, 56], "unfortun": [7, 20, 24, 26, 27, 46, 50, 52, 53, 59], "could": [7, 9, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 25, 26, 28, 29, 31, 32, 33, 39, 43, 44, 46, 47, 48, 49, 51, 52, 54, 55, 57, 59], "spent": [7, 17, 25, 28, 51, 54], "better": [7, 13, 14, 16, 17, 18, 19, 22, 23, 24, 27, 28, 29, 30, 31, 36, 37, 40, 42, 43, 45, 46, 47, 48, 49, 50, 53, 54, 55, 56, 57], "my": [7, 11, 13, 20, 21, 24, 25, 26, 29, 30, 46, 47, 51, 52, 55, 56, 58], "view": [7, 8, 13, 14, 27, 30, 31, 32, 35, 53, 56], "overzeal": 7, "contest": 7, "penal": [7, 32, 52], "classmat": [7, 15, 57, 58], "gain": [7, 12, 14, 21, 23, 24, 39, 49, 50], "sometim": [7, 13, 14, 15, 18, 19, 20, 21, 23, 24, 29, 50, 55], "seriou": [7, 21, 28, 29, 54, 55], "grader": [7, 13, 14, 58, 59, 60], "did": [7, 13, 14, 16, 24, 25, 26, 29, 31, 38, 50, 51, 52, 55], "question": [7, 8, 43, 47, 48, 51, 52, 56, 57, 58], "deviat": [7, 15, 17, 23, 24, 43, 49, 50, 59], "unknown": [7, 37, 42, 44, 45], "Such": [7, 31], "quit": [7, 13, 14, 17, 20, 21, 22, 24, 25, 27, 29, 30, 31, 32, 36, 40, 41, 43, 46, 47, 48, 50, 51, 53, 55, 56], "fair": [7, 15, 17, 22, 24, 26, 48, 50, 52, 57, 59], "sens": [7, 13, 15, 18, 19, 21, 22, 24, 25, 26, 29, 31, 32, 34, 38, 47, 50, 51, 52, 55, 60], "bring": [7, 13, 24, 25, 27, 35, 42, 50, 51, 53], "attent": [7, 28, 54], "balanc": [7, 16, 23, 28, 30, 37, 38, 39, 49, 54, 56], "side": [7, 13, 55, 59], "difficult": [7, 8, 13, 21, 25, 26, 38, 47, 51, 52], "deem": 7, "unreason": [7, 22, 48], "receiv": [7, 8, 18, 27, 30, 31, 33, 38, 44, 53, 56, 58], "warn": [7, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 48, 49, 50, 58, 59, 60], "lose": [7, 18], "privileg": 7, "remaind": 7, "extrem": [7, 18, 21, 23, 24, 25, 28, 32, 49, 50, 51, 54], "minor": [7, 13], "complaint": [7, 57], "e": [7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58], "g": [7, 8, 9, 12, 13, 14, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 44, 46, 47, 48, 49, 50, 51, 53, 54, 55, 56, 58], "repeatedli": [7, 33], "same": [7, 8, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 35, 39, 43, 44, 45, 47, 49, 51, 52, 53, 54, 55, 56], "issu": [7, 13, 23, 32, 34, 49, 57], "reach": [7, 13, 26, 52], "guid": [8, 10, 13, 25, 30, 51, 56, 58], "everi": [8, 9, 13, 14, 15, 18, 23, 27, 31, 49, 53], "hw": [8, 13], "announc": [8, 38], "along": [8, 14, 18, 21, 30, 31, 56], "anticip": [8, 57], "pull": [8, 11, 17, 19, 29, 43, 55], "privat": [8, 11, 21, 24, 49, 50], "unfinish": [8, 22, 48], "To": [8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 22, 23, 25, 27, 29, 30, 31, 34, 36, 37, 40, 41, 45, 49, 51, 53, 55, 56, 57], "ensur": [8, 12, 17, 23, 43, 49], "output": [8, 9, 11, 13, 14, 15, 18, 19, 21, 23, 24, 28, 30, 31, 34, 37, 40, 41, 45, 46, 49, 50, 56, 57, 58, 59], "plot": [8, 13, 14, 15, 16, 17, 19, 20, 21, 22, 25, 28, 30, 31, 32, 35, 36, 37, 39, 43, 45, 46, 47, 48, 53, 54, 56, 58, 59], "properli": [8, 13, 32, 37, 55, 58], "failur": [8, 13, 57], "deduct": 8, "bundl": [8, 11], "fine": [8, 13, 17, 18, 21, 30, 31, 47, 56], "leav": [8, 14, 27, 28, 30, 32, 38, 53, 56], "paper": [8, 24, 25, 26, 29, 30, 32, 33, 50, 51, 55, 56], "Be": [8, 13, 24, 28, 50, 54, 59], "written": [8, 13, 18, 31], "easi": [8, 16, 17, 19, 23, 24, 25, 26, 27, 29, 45, 49, 50, 51, 52, 53, 55], "ta": [8, 22, 24, 48, 50, 54], "aren": [8, 22, 25, 26, 30, 31, 48, 51, 52, 55, 56, 58], "clear": [8, 12, 21, 26, 28, 47, 52, 54, 58, 59], "correct": [8, 13, 14, 15, 16, 21, 23, 24, 28, 29, 32, 33, 47, 49, 50, 55, 58], "cell": [8, 9, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 30, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 54, 55, 56, 58, 59, 60], "around": [8, 13, 16, 18, 21, 22, 28, 31, 32, 38, 44, 47, 48, 58, 59], "valu": [8, 9, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60], "tabl": [8, 37], "displai": [8, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 27, 28, 31, 32, 33, 35, 37, 38, 39, 43, 44, 45, 46, 47, 49, 53, 54, 58, 59, 60], "calcul": [8, 15, 16, 17, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 35, 40, 43, 46, 47, 49, 50, 51, 52, 53, 54, 55, 56, 60], "suffici": [8, 28, 29, 54, 55], "store": [8, 9, 16, 17, 18, 20, 23, 24, 25, 27, 30, 31, 32, 34, 37, 38, 46, 53, 55, 58, 59, 60], "variabl": [8, 9, 14, 17, 18, 19, 20, 22, 24, 25, 30, 31, 43, 44, 48, 50, 51, 52, 56, 58, 59, 60], "nor": [8, 13, 15, 18, 44, 55], "print": [8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 36, 38, 39, 41, 43, 44, 46, 47, 48, 49, 50, 51, 53, 54, 55, 56, 59], "actual": [8, 13, 19, 21, 23, 24, 26, 28, 29, 31, 32, 38, 47, 49, 50, 52, 54, 55], "save": [8, 9, 18, 20, 24, 25, 30, 31, 46, 50, 51, 54, 56, 58], "shown": [8, 11, 13, 14, 16, 21, 23, 24, 26, 27, 31, 49, 50, 53], "screen": [8, 13, 38], "likewis": 8, "assert": [8, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 39, 48, 49, 50, 58, 59, 60], "statement": [8, 15, 16, 17, 18, 19, 20, 21, 22, 25, 30, 43, 44, 45, 46, 47, 48, 49, 51, 56], "left": [8, 13, 20, 21, 22, 26, 27, 29, 31, 32, 46, 47, 48, 52, 53, 55], "unsur": 8, "exactli": [8, 13, 15, 24, 26, 28, 45, 50], "emb": [8, 21, 26, 27, 53, 58], "ipynb": [8, 9, 13, 15, 58, 59, 60], "axi": [8, 9, 13, 14, 15, 17, 18, 19, 24, 26, 27, 28, 29, 30, 31, 36, 38, 40, 41, 43, 45, 50, 52, 53, 55, 56], "label": [8, 9, 14, 15, 16, 17, 18, 21, 22, 23, 24, 25, 27, 28, 29, 30, 31, 32, 34, 36, 38, 39, 41, 43, 44, 47, 48, 49, 50, 51, 53, 54, 55, 56, 59], "multipl": [8, 9, 15, 19, 20, 23, 29, 30, 31, 32, 44, 45, 46, 49, 55, 56, 59], "curv": [8, 9, 12, 26, 52], "legend": [8, 9, 16, 19, 21, 22, 25, 26, 30, 31, 32, 39, 44, 45, 47, 48, 51, 52, 56], "accompani": [8, 13, 14], "what": [8, 9, 10, 14, 16, 20, 27, 30, 31, 34, 35, 36, 38, 42, 45, 46, 53, 56, 58, 59, 60], "put": [8, 9, 11, 13, 14, 15, 17, 18, 25, 26, 27, 36, 37, 38, 43, 44, 51, 53], "titl": [8, 15, 19, 22, 25, 27, 30, 31, 32, 35, 36, 40, 41, 45, 51, 53, 56, 58, 59], "imag": [8, 12, 15, 21, 24, 25, 26, 27, 31, 39, 41, 47, 50, 51, 52, 53, 58, 59], "itself": [8, 13, 21, 23, 27, 38, 47, 49, 53, 55], "train": [8, 16, 17, 20, 22, 23, 24, 25, 26, 28, 32, 33, 35, 36, 37, 38, 40, 41, 43, 44, 45, 46, 48, 49, 50, 51, 52, 54, 59], "caption": [8, 30, 56], "underneath": 8, "regardless": [8, 13], "big": [8, 13, 16, 18, 20, 21, 23, 25, 26, 27, 28, 29, 30, 32, 37, 38, 46, 47, 51, 52, 53, 54, 55, 56], "enough": [8, 13, 16, 18, 21, 22, 23, 26, 28, 33, 42, 47, 49, 52, 54], "strain": 8, "zoom": [8, 38], "tini": [8, 15, 21, 27, 29, 40, 41, 53, 55], "alon": [8, 13], "onward": 8, "group": [8, 12, 14, 15, 16, 18, 19, 23, 25, 28, 29, 31, 37, 51, 54, 55, 58, 59], "soon": [8, 13, 16, 17, 31, 47], "By": [8, 12, 13, 15, 16, 18, 21, 23, 26, 30, 32, 47, 49, 51, 52, 56, 59], "rational": 8, "solut": [8, 14, 15, 17, 23, 26, 32, 33, 43, 52, 57, 58, 59], "shortli": 8, "deadlin": [8, 21], "overal": [8, 11, 21, 24, 26, 30, 37, 38, 39, 40, 50, 52, 56, 57], "whole": [8, 13, 15, 20, 22, 28, 38, 46, 48, 54], "circumst": 8, "academ": [8, 25, 51], "concess": 8, "pin": [8, 14, 30], "outsid": [8, 13, 21, 23, 24, 28, 29, 31, 47, 49, 50, 54], "snippet": [8, 13], "stack": [8, 12, 37, 42], "overflow": 8, "start": [8, 9, 11, 13, 14, 15, 21, 23, 24, 25, 26, 27, 28, 30, 31, 32, 33, 37, 38, 40, 41, 49, 50, 51, 52, 53, 54, 56, 58, 59], "each": [8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 36, 37, 38, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59], "consequ": [8, 13, 18, 21, 28, 38, 39, 47, 54], "citat": 8, "contain": [9, 11, 13, 14, 17, 18, 19, 22, 25, 28, 29, 30, 33, 44, 51, 54, 55, 56, 58, 60], "1st": [9, 13, 21, 23, 24, 31, 39, 49, 50], "offer": [9, 12, 13, 23, 28, 32, 54, 57], "decid": [9, 13, 14, 16, 19, 23, 24, 25, 26, 27, 29, 31, 32, 33, 42, 45, 49, 50, 51, 52, 53, 55, 58, 59], "stop": [9, 29, 32, 35, 37, 55], "alloc": [9, 29, 30, 34, 55, 56], "import": [9, 12, 38, 39, 40, 41, 43, 44, 46, 48, 51, 53, 55, 56, 57], "np": [9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60], "pd": [9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60], "familiar": [9, 12, 13, 14, 17, 43, 57, 60], "matlab": 9, "pyplot": [9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 30, 31, 32, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 58, 59, 60], "plt": [9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 30, 31, 32, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 58, 59, 60], "now": [9, 11, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 31, 34, 36, 37, 38, 39, 40, 41, 45, 46, 47, 48, 49, 50, 51, 54, 55, 56, 58, 59, 60], "y": [9, 15, 16, 17, 18, 19, 20, 21, 23, 25, 26, 27, 28, 30, 31, 32, 34, 35, 36, 37, 39, 42, 44, 45, 46, 47, 49, 50, 51, 52, 53, 54, 55, 56, 59], "line2d": 9, "0x165eded10": [], "often": [9, 13, 15, 16, 17, 18, 19, 20, 21, 23, 24, 25, 26, 27, 28, 30, 31, 43, 44, 45, 46, 47, 49, 50, 51, 52, 53, 54, 56], "me": [9, 13, 20, 25, 28, 33, 46, 51, 55], "semicolon": 9, "suppress": 9, "minimum": [9, 15, 17, 26, 27, 29, 34, 43, 53, 55], "xlabel": [9, 14, 15, 16, 19, 20, 21, 22, 24, 27, 30, 31, 32, 39, 41, 45, 46, 47, 48, 50, 51, 52, 56], "independ": [9, 10, 14, 20, 22, 23, 25, 46, 48, 49, 51], "ylabel": [9, 14, 15, 16, 19, 20, 21, 22, 27, 30, 31, 32, 35, 36, 39, 41, 45, 46, 47, 48, 51, 56, 59], "visit": [9, 28, 57], "hassl": [9, 24, 31, 50], "conveni": [9, 13, 20, 21, 26, 29, 31, 32, 34, 46, 47, 52, 55], "cover": [9, 13, 16, 21, 23, 26, 30, 31, 47, 49, 52, 56, 57], "knowledg": [9, 13, 14, 18, 20, 25, 26, 29, 46, 51, 52, 55], "zero": [9, 15, 18, 20, 28, 29, 46, 51, 54, 55], "ones": [9, 13, 17, 23, 24, 26, 28, 29, 35, 43, 49, 50, 52, 54, 55, 59], "z": [9, 19, 25, 26, 27, 28, 32, 34, 36, 45, 52, 53, 54], "rand": [9, 23, 49], "69882353": [], "06246254": [], "07541878": [], "59336878": [], "66359121": [], "6769019": [], "062462544215568294": [], "confus": [9, 16, 18, 22, 24, 39, 48, 50], "ndim": 9, "array_equ": 9, "fals": [9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 28, 29, 30, 31, 32, 34, 35, 37, 38, 39, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 55, 56, 60], "arithmet": 9, "describ": [9, 12, 14, 15, 16, 17, 19, 21, 22, 28, 29, 31, 35, 37, 38, 45, 47, 48, 54, 55, 60], "treat": [9, 17, 18, 21, 22, 28, 31, 32, 39, 44, 45, 48, 52, 54, 60], "idea": [9, 13, 14, 15, 17, 20, 24, 29, 30, 31, 32, 35, 36, 37, 43, 46, 50, 55, 56], "speed": [9, 14, 23, 28, 38, 49, 54], "pi": 9, "weekend": [9, 31], "price": [9, 15, 17, 19, 22, 24, 25, 35, 37, 48, 50, 51], "sold": [9, 22], "pie": 9, "last": [9, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60], "know": [9, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 38, 43, 45, 46, 50, 51, 52, 53, 54, 55, 56, 57, 59], "monei": [9, 13, 28, 32, 54], "per": [9, 19, 21, 22, 23, 24, 26, 28, 30, 31, 39, 45, 48, 49, 50, 56], "cost": [9, 13, 28, 30, 54, 56], "25": [9, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 31, 34, 35, 37, 40, 41, 46, 47, 48, 49, 50, 51, 53, 55], "reshap": [9, 19, 20, 29, 30, 31, 37, 40, 45, 46, 55, 56], "sale": [9, 21, 22, 31, 35, 48], "npie": 9, "j": [9, 19, 25, 26, 28, 45, 51, 52, 54, 58], "40": [9, 13, 16, 19, 20, 21, 22, 24, 27, 28, 31, 32, 33, 34, 37, 40, 41, 46, 48, 49, 50, 51, 53, 59], "60": [9, 13, 17, 21, 22, 24, 25, 28, 29, 31, 32, 40, 41, 44, 48, 51, 54, 55], "90": [9, 13, 14, 15, 16, 18, 21, 22, 27, 28, 31, 41, 42, 44, 48, 51, 53, 54], "45": [9, 14, 15, 16, 19, 21, 22, 29, 31, 32, 34, 48, 55], "125": [9, 22, 28, 34, 40, 48, 54], "75": [9, 13, 14, 15, 17, 18, 19, 20, 21, 22, 28, 31, 34, 35, 37, 43, 44, 45, 46, 47, 48, 50, 51, 54, 57], "cost_rep": 9, "repeat": [9, 25, 26, 27, 30, 51, 52, 53, 56], "newaxi": 9, "equival": [9, 21, 23, 49], "explicitli": [9, 13, 30, 41, 56], "debat": [9, 24, 50], "definit": [9, 16, 24, 26, 29, 30, 31, 50, 52, 55], "sai": [9, 13, 14, 16, 17, 18, 21, 22, 23, 24, 28, 29, 31, 43, 47, 50, 52, 54, 55], "arr1": 9, "arang": [9, 15, 16, 19, 20, 21, 22, 35, 36, 38, 41, 46, 47, 48, 59], "arr2": 9, "fail": [9, 11, 13, 15, 17, 18, 25, 27, 32, 37, 51, 53, 58, 59], "compat": [9, 24, 50], "valueerror": [9, 17, 18, 28, 32, 37], "33": [9, 13, 16, 17, 18, 19, 20, 21, 22, 25, 31, 35, 41, 46, 47, 48, 51, 55], "operand": [9, 58, 59], "facilit": [9, 57], "dimens": [9, 19, 25, 29, 51, 55], "increas": [9, 15, 16, 18, 19, 23, 24, 25, 26, 27, 30, 35, 38, 43, 44, 45, 46, 47, 49, 50, 51, 52, 53, 56], "opposit": [9, 22, 23, 24, 28, 48, 50], "achiev": [9, 16, 21, 47], "squeez": [9, 32, 37, 48], "compar": [9, 12, 14, 15, 16, 17, 19, 20, 21, 22, 23, 24, 25, 27, 28, 30, 31, 35, 42, 46, 47, 49, 50, 51, 53, 54, 55, 56, 58], "trail": 9, "equal": [9, 13, 16, 18, 21, 22, 23, 24, 27, 28, 31, 44, 45, 47, 48, 49, 50, 53, 54, 57, 58], "compatibitl": 9, "b": [9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 28, 29, 30, 31, 32, 35, 38, 43, 44, 45, 46, 47, 48, 49, 51, 53, 54, 55, 56, 58, 59, 60], "f": [9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 35, 37, 38, 40, 41, 44, 48, 51, 52, 53, 55, 56, 58, 59, 60], "popular": [9, 12, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 34, 43, 44, 45, 48, 49, 50, 51, 52, 53, 54, 55, 56], "tabular": [9, 13, 30, 31, 36, 56], "structur": [9, 26, 29, 30, 40, 41, 52, 55, 56], "creat": [9, 10, 11, 13, 16, 17, 19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 34, 35, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 55, 56, 59, 60], "ndarrai": [9, 18, 24, 44, 50], "dictionari": [9, 17, 20, 21, 23, 24, 34, 40, 41, 47], "integ": [9, 17, 18, 20, 23, 24, 31, 43, 46, 49, 50, 58], "string": [9, 11, 16, 21, 22, 23, 24, 29, 31, 32, 34, 47, 48, 49, 50, 55], "gold": [9, 13], "medal": 9, "count": [9, 14, 17, 18, 21, 22, 25, 28, 29, 30, 31, 32, 33, 35, 37, 44, 47, 48, 51, 54, 55, 56, 58, 60], "2012": [9, 17, 20, 28, 46], "2016": [9, 30, 31, 56], "olymp": 9, "dtype": [9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 37, 38, 39, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 60], "float64": [9, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 29, 31, 32, 37, 44, 46, 47, 48, 49, 50, 51, 54, 55], "s1": [9, 29, 55], "46": [9, 14, 15, 16, 17, 18, 19, 21, 22, 25, 28, 30, 31, 37, 43, 48], "38": [9, 16, 17, 19, 21, 22, 25, 31, 32, 34, 35, 40, 41, 47, 48, 51, 54, 55], "29": [9, 16, 17, 21, 22, 25, 28, 31, 32, 35, 37, 40, 41, 47, 48, 51, 55], "usa": [9, 13, 15, 16, 19, 29, 55], "chn": 9, "gbr": 9, "ru": [9, 21], "ger": 9, "int64": [9, 14, 18, 21, 22, 25, 28, 31, 32, 35, 37, 38, 44, 47, 48, 51, 54, 55], "s2": [9, 29, 55], "squar": [9, 12, 14, 16, 19, 24, 25, 26, 28, 50, 51, 54], "bracket": 9, "iloc": [9, 14, 15, 16, 17, 18, 23, 24, 29, 31, 32, 34, 38, 41, 49, 50, 51, 55], "64": [9, 11, 16, 19, 21, 22, 30, 31, 47, 48, 56], "56": [9, 16, 18, 21, 22, 31, 34, 37, 41, 47, 48], "nan": [9, 16, 17, 18, 21, 23, 24, 25, 28, 31, 32, 34, 37, 39, 42, 43, 44, 49, 50, 51, 54], "92": [9, 14, 15, 18, 21, 27, 31, 42, 44, 53], "unlik": [9, 13, 15, 16, 18, 22, 24, 26, 27, 48, 50, 52, 53], "align": [9, 13, 14, 15, 16, 52], "union": [9, 48], "primari": [9, 12, 16, 38], "realli": [9, 13, 15, 19, 20, 23, 25, 27, 28, 29, 30, 31, 32, 38, 45, 46, 49, 51, 53, 54, 55, 56], "bunch": [9, 11, 14, 22, 23, 30, 32, 33, 35, 48, 49, 56], "three": [9, 13, 14, 17, 19, 21, 23, 24, 25, 26, 27, 28, 29, 30, 31, 33, 36, 42, 43, 45, 47, 49, 50, 51, 52, 53, 55, 56, 58, 59], "main": [9, 11, 13, 14, 16, 18, 23, 24, 39, 42, 49, 50, 51, 57], "slice": 9, "loc": [9, 16, 19, 21, 24, 28, 29, 31, 32, 39, 44, 47, 50, 52, 54, 55], "singl": [9, 17, 19, 20, 21, 23, 24, 31, 32, 42, 43, 44, 46, 47, 49, 50, 51, 52, 58, 59], "core": [9, 10, 12, 15, 17, 18, 20, 21, 22, 25, 27, 28, 31, 32, 44, 47, 48, 51, 53, 54, 58, 59], "doesn": [9, 13, 15, 17, 18, 21, 22, 23, 24, 26, 27, 28, 29, 30, 32, 34, 49, 50, 52, 53, 54, 55, 56, 59], "littl": [9, 13, 21, 30, 52, 54, 56], "unintuit": 9, "object": [9, 15, 17, 18, 19, 20, 21, 22, 24, 25, 34, 35, 37, 38, 39, 43, 44, 46, 48, 50, 51, 52, 53, 59], "load": [9, 13, 17, 18, 19, 20, 21, 22, 23, 24, 25, 28, 29, 30, 34, 35, 36, 37, 38, 40, 41, 43, 46, 48, 49, 50, 51, 54, 55, 56, 58, 59, 60], "read_csv": [9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 28, 29, 31, 32, 34, 35, 37, 38, 39, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 54, 55, 60], "dataset": [9, 12, 13, 15, 16, 23, 24, 25, 26, 27, 32, 33, 35, 36, 40, 41, 42, 44, 45, 49, 50, 51, 52, 53, 59], "colleagu": [9, 10, 58], "cycl": 9, "commut": 9, "everydai": 9, "path": [9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 26, 27, 28, 29, 30, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 49, 50, 52, 53, 54, 55, 56], "cycling_data": 9, "index_col": [9, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 35, 38, 43, 46, 48, 54, 60], "parse_d": [9, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 31, 35, 38, 48, 60], "true": [9, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 54, 55, 56, 58, 59], "head": [9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 28, 29, 30, 31, 32, 34, 37, 38, 39, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 53, 54, 55, 56], "distanc": [9, 17, 25, 27, 28, 29, 36, 40, 41, 43, 51, 54, 59], "comment": [9, 10, 13, 15, 16, 17, 18, 23, 24, 25, 35, 37, 38, 60], "date": [9, 11, 13, 14, 25, 28, 29, 35, 51, 54, 55, 57], "2019": 9, "04": [9, 17, 18, 20, 22, 24, 31, 34, 35, 37, 39, 43, 46, 48, 50, 51], "afternoon": 9, "ride": [9, 13], "2084": 9, "62": [9, 16, 20, 22, 31, 37, 46, 48], "rain": [9, 31], "52": [9, 16, 17, 19, 22, 25, 31, 34, 39, 41, 47, 48, 51, 54], "morn": [9, 13], "2531": 9, "1863": [9, 18, 28, 34], "wet": [9, 13], "road": 9, "weather": [9, 14, 31], "06": [9, 17, 20, 22, 27, 30, 31, 35, 46, 48, 51, 53, 55, 56], "2192": [9, 20], "84": [9, 14, 15, 18, 31, 32, 35, 40, 41, 42, 44], "photo": [9, 25], "sunris": 9, "1891": 9, "48": [9, 14, 15, 16, 19, 21, 22, 24, 28, 31, 40, 47, 48, 50], "tire": [9, 25, 51], "input": [9, 14, 17, 19, 23, 24, 25, 30, 31, 36, 37, 40, 41, 43, 45, 49, 50, 51, 56], "raw": [9, 18, 24, 25, 29, 30, 44, 45, 46, 50, 51, 55, 56], "githubusercont": 9, "tomasbeuzen": 9, "toi": [9, 15, 16, 25, 26, 27, 31, 36, 42, 44, 51, 52, 53], "master": [9, 13, 21, 23, 24, 29, 39, 43, 46, 49, 50, 55], "wine_1": 9, "bottl": 9, "grape": 9, "alcohol": 9, "ph": [9, 13, 29, 55], "colour": [9, 18, 19, 20, 24, 26, 27, 30, 41, 44, 50, 53, 56], "aroma": 9, "chardonnai": 9, "australia": [9, 31], "51": [9, 16, 17, 18, 20, 21, 22, 26, 28, 31, 32, 34, 43, 48, 51, 52], "white": [9, 13, 21, 24, 27, 29, 49, 50, 55], "floral": 9, "pinot": 9, "grigio": 9, "itali": [9, 29, 55], "fruiti": 9, "blanc": 9, "franc": 9, "citru": 9, "shiraz": 9, "chile": 9, "91": [9, 14, 15, 17, 18, 20, 21, 25, 26, 31, 35, 42, 44, 46, 52], "39": [9, 16, 20, 22, 26, 31, 34, 40, 41, 48, 52, 55], "red": [9, 13, 14, 16, 21, 24, 25, 26, 31, 47, 50, 52], "berri": 9, "malbec": 9, "argentina": 9, "83": [9, 14, 15, 18, 20, 21, 27, 29, 31, 34, 38, 41, 42, 44, 51, 53, 55], "read_excel": 9, "read_html": 9, "read_json": 9, "frame": [9, 17, 18, 21, 22, 25, 28, 31, 32, 34, 44, 47, 48, 51, 54], "rangeindex": [9, 18, 25, 31, 32, 44, 51], "entri": [9, 16, 17, 18, 19, 21, 22, 25, 28, 31, 32, 40, 41, 44, 45, 47, 48, 51, 54], "32": [9, 16, 17, 18, 19, 20, 22, 26, 31, 32, 37, 43, 46, 48, 51, 52, 55], "null": [9, 17, 18, 21, 22, 25, 28, 31, 32, 44, 47, 48, 51, 54], "memori": [9, 17, 18, 21, 22, 23, 25, 28, 30, 31, 32, 41, 44, 47, 48, 49, 51, 54, 56], "usag": [9, 17, 18, 21, 22, 25, 28, 29, 31, 32, 44, 47, 48, 51, 54, 55], "kb": [9, 18, 22, 32, 44, 48], "000000": [9, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 27, 28, 31, 32, 35, 36, 37, 44, 46, 47, 48, 49, 50, 51, 53, 54, 56], "uniqu": [9, 17, 18, 21, 22, 23, 24, 28, 29, 31, 33, 39, 41, 43, 44, 48, 49, 50, 54, 55], "top": [9, 14, 18, 20, 21, 27, 28, 31, 38, 46, 47, 53, 55, 58], "42": [9, 13, 14, 15, 16, 17, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 30, 31, 34, 36, 39, 40, 41, 43, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 58, 59], "43": [9, 16, 19, 20, 21, 22, 28, 31, 32, 34, 46, 47, 48, 58, 59], "good": [9, 10, 11, 13, 14, 15, 16, 17, 18, 20, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 34, 35, 37, 38, 40, 42, 43, 44, 46, 48, 49, 50, 51, 52, 53, 55, 56], "freq": [9, 31], "3512": 9, "787879": [9, 16, 19], "667419": 9, "std": [9, 15, 16, 17, 21, 22, 25, 28, 30, 31, 32, 35, 36, 37, 39, 43, 44, 47, 48, 51, 54, 56], "8003": 9, "309233": 9, "428618": 9, "1712": 9, "790000": [9, 17], "480000": 9, "2118": 9, "620000": 9, "2285": [9, 31], "750000": [9, 22, 35, 48], "max": [9, 15, 16, 17, 19, 20, 21, 22, 23, 26, 27, 31, 35, 37, 38, 45, 46, 47, 48, 49, 52, 53, 59], "48062": 9, "570000": 9, "specif": [9, 12, 13, 14, 15, 20, 21, 24, 29, 30, 31, 46, 50, 55, 56], "dict": [9, 21, 28, 34, 40, 41, 47, 54], "perman": 9, "argument": [9, 14, 18, 20, 21, 22, 25, 29, 39, 42, 44, 46, 47, 48, 51, 55, 58], "inplac": [9, 13, 14, 20, 38, 46], "discourag": [9, 51], "mostli": [9, 18, 31, 38], "hide": [9, 14], "lead": [9, 13, 15, 19, 22, 27, 32, 45, 53, 59], "hard": [9, 13, 15, 16, 17, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 30, 33, 42, 43, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56], "col1": 9, "col2": 9, "col3": 9, "col4": 9, "col5": 9, "col6": 9, "14159265358979323": 9, "141593": 9, "tail": [9, 28, 31, 54], "01": [9, 16, 17, 19, 20, 21, 22, 24, 28, 30, 31, 34, 37, 38, 39, 45, 46, 47, 48, 50, 54, 56], "08": [9, 17, 20, 22, 25, 27, 28, 31, 33, 34, 46, 48, 51, 53], "1870": [9, 20, 28, 46], "63": [9, 16, 20, 21, 22, 25, 31, 40, 44, 47, 48, 51], "wind": [9, 14], "55": [9, 14, 15, 16, 19, 20, 21, 22, 23, 31, 32, 34, 40, 44, 46, 48, 49], "2149": 9, "70": [9, 14, 15, 18, 21, 22, 26, 27, 31, 32, 35, 36, 40, 41, 48, 51, 52, 53], "cold": [9, 17, 28, 54], "1841": 9, "holidai": [9, 28, 54], "2463": 9, "79": [9, 14, 15, 17, 18, 19, 21, 22, 28, 31, 34, 48, 51, 54], "57": [9, 16, 17, 18, 21, 22, 31, 32, 39, 43, 47, 48], "1843": [9, 28, 54], "bike": [9, 31], "tight": [9, 13, 27, 53], "oil": 9, "pump": 9, "last_row": 9, "34": [9, 13, 16, 17, 18, 19, 21, 22, 25, 30, 31, 37, 43, 47, 48, 51, 55], "occur": [9, 14, 15, 18, 29, 32, 33, 44, 55], "twice": [9, 15, 19], "bad": [9, 13, 14, 15, 16, 18, 21, 22, 23, 24, 25, 28, 30, 31, 34, 37, 38, 46, 47, 48, 49, 51, 53, 56], "why": [9, 15, 16, 21, 22, 23, 27, 31, 32, 33, 35, 37, 38, 41, 42, 44, 47, 49, 52, 53, 58], "ignore_index": 9, "duplic": 9, "22": [9, 16, 17, 18, 20, 21, 22, 24, 25, 28, 31, 32, 37, 40, 41, 43, 46, 47, 48, 49, 50, 51, 55, 57], "1724": 9, "1732": 9, "leg": 9, "strong": [9, 12, 13, 23, 32, 38, 49], "1756": 9, "todai": [9, 14, 28, 29, 30, 31, 32, 51, 54, 56], "1775": 9, "ascend": [9, 18, 19, 20, 22, 23, 24, 25, 31, 32, 35, 38, 42, 46, 48, 49, 50, 51], "specifi": [9, 14, 15, 18, 20, 21, 26, 27, 30, 36, 46, 47, 52, 53, 56, 58, 60], "descend": [9, 28, 30, 38, 42, 56], "2961": 9, "81": [9, 14, 15, 16, 18, 19, 20, 21, 22, 24, 26, 31, 32, 41, 46, 47, 48, 50, 52, 56], "49": [9, 16, 19, 22, 25, 28, 31, 39, 45, 47, 48, 51], "53": [9, 19, 22, 28, 31, 34, 40, 45, 48], "2903": 9, "2101": 9, "35": [9, 16, 17, 19, 21, 22, 24, 31, 32, 35, 40, 41, 48, 49, 50, 55, 58], "2076": 9, "chain": [9, 18, 34], "smooth": [9, 16, 51], "back": [9, 13, 17, 20, 29, 35, 36, 38, 42, 44, 55, 59], "orgin": 9, "sort_index": [9, 20, 22, 31, 46, 48], "ve": [9, 13, 15, 16, 21, 22, 24, 28, 29, 30, 31, 36, 50, 54, 55, 56, 58, 59, 60], "seen": [9, 13, 15, 16, 17, 18, 19, 25, 27, 28, 30, 32, 42, 43, 44, 45, 51, 53, 54, 56], "power": [9, 15, 23, 29, 30, 37, 51, 55, 56, 59], "2500": [9, 25, 37, 51], "prefix": [9, 48], "thresh": 9, "2800": 9, "built": [9, 13, 14, 15, 19, 20, 24, 28, 31, 46, 50, 54], "round": [9, 13, 16, 17, 20, 21, 23, 27, 30, 36, 49, 52, 53, 56, 58, 59], "sum": [9, 16, 17, 18, 19, 23, 24, 25, 26, 30, 38, 45, 49, 50, 51, 52, 56], "0410": 9, "1811": 9, "ridemorn": 9, "rideafternoon": 9, "ridemornin": 9, "rideriderideriderideriderideriderideriderideri": 9, "115922": 9, "392": [9, 13], "69": [9, 14, 15, 16, 18, 22, 26, 31, 32, 40, 48, 52, 54], "rainrainwet": 9, "weatherstop": 9, "p": [9, 19, 20, 27, 32, 41, 46, 52, 53], "sin": 9, "9092974268256817": 9, "901866": 9, "053604": 9, "901697": 9, "447197": 9, "035549": 9, "046354": 9, "739059": 9, "270228": 9, "236515": 9, "086263": 9, "lambda": [9, 14, 19, 25, 27, 30, 31, 32, 37, 40, 45, 51, 53, 56], "733333": [9, 15, 17, 18], "183333": 9, "050000": 9, "36": [9, 16, 17, 18, 19, 20, 21, 22, 24, 25, 31, 32, 35, 37, 40, 41, 46, 48, 49, 50, 51, 55], "533333": 9, "516667": 9, "scalar": 9, "float": [9, 22, 25, 28, 32, 51, 58, 59], "typeerror": [9, 32, 58, 59], "ipython": [9, 13, 14, 15, 16, 17, 18, 19, 21, 29, 33, 34, 38, 39, 43, 44, 45, 47, 55, 58, 59], "129": [9, 16, 19, 51], "7c9875858560": 9, "modul": [9, 10, 13, 14, 15, 21, 25, 36, 39, 43, 45, 46, 47, 49, 50, 51, 52, 53, 54, 55, 56], "130": [9, 13, 14, 15, 16, 17, 18, 20, 25, 28, 43, 46, 54], "4550bed00aba": 9, "anaconda3": 9, "lib": [9, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 32, 34, 35, 37, 38, 40, 41, 48, 51, 58, 59, 60], "python3": [9, 10, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 32, 34, 35, 37, 38, 40, 41, 48, 51, 58, 59, 60], "py": [9, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 30, 32, 34, 35, 37, 38, 40, 41, 48, 49, 51, 54, 55, 56, 58, 59, 60], "func": [9, 18, 19, 22, 28, 48], "result_typ": 9, "arg": [9, 15, 18, 28, 34, 36, 37, 48, 58, 59], "kwd": [9, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 58, 59, 60], "6926": 9, "6927": 9, "6928": 9, "op": [9, 21, 34], "get_result": 9, "6929": 9, "6930": 9, "def": [9, 14, 15, 16, 17, 19, 20, 21, 22, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 36, 38, 40, 41, 48, 50, 51, 52, 53, 54, 55, 56, 58, 59], "184": [9, 28, 31, 32, 34, 40, 49], "apply_raw": 9, "185": [9, 28, 31], "186": [9, 28, 31, 32, 37, 41], "apply_standard": 9, "187": [9, 15, 19, 28, 31, 32], "188": [9, 13, 15, 19, 28, 31, 40, 54], "apply_empty_result": 9, "290": [9, 31, 34, 35, 41], "291": [9, 19, 23, 31, 34, 35], "292": [9, 31, 34], "apply_series_gener": 9, "293": [9, 31, 34], "294": [9, 17, 29, 34, 55], "wrap": [9, 18, 37], "319": [9, 14, 17], "320": [9, 17, 41], "v": [9, 13, 16, 21, 29, 38, 55, 59], "enumer": [9, 23, 29, 55], "series_gen": 9, "321": 9, "322": [9, 51], "kei": [9, 10, 11, 12, 14, 16, 17, 18, 20, 21, 22, 23, 28, 29, 31, 32, 34, 43, 46, 47, 48, 49, 54, 55, 60], "323": 9, "wrapper": [9, 25, 48, 51, 56], "len": [9, 15, 17, 20, 21, 22, 23, 24, 25, 27, 28, 29, 30, 31, 32, 34, 36, 40, 41, 46, 48, 49, 50, 51, 53, 54, 55, 56, 58, 59], "convert": [9, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 29, 31, 32, 34, 35, 37, 38, 44, 45, 48, 49, 50, 55, 60], "131": [9, 17, 28, 31, 37, 54], "str": [9, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 29, 31, 32, 34, 35, 36, 38, 40, 41, 46, 48, 50, 51, 55, 58, 59, 60], "132": [9, 23, 28, 41, 49, 54, 56], "133": [9, 20, 28, 40, 46, 54], "__name__": [9, 19, 31, 45], "__": 9, "df_float_1": 9, "anoth": [9, 11, 13, 14, 16, 19, 20, 21, 23, 24, 26, 27, 28, 31, 32, 33, 41, 45, 47, 49, 50, 52, 54], "doc": [9, 10, 13, 24, 25, 29, 30, 34, 38, 51, 52, 55, 56], "exist": [9, 21, 32, 39, 54], "df_float_2": 9, "astyp": [9, 31, 32, 38], "altern": [9, 11, 20, 26, 36, 46], "timeit": [9, 30, 56], "948": [9, 43], "\u00b5s": [9, 56], "37": [9, 17, 18, 19, 22, 25, 31, 32, 35, 37, 40, 41, 43, 48, 51, 54, 55], "dev": [9, 15, 30, 56], "1000": [9, 15, 16, 19, 20, 21, 22, 25, 29, 30, 31, 32, 33, 34, 38, 43, 45, 46, 48, 51, 55, 56], "ms": [9, 13, 30, 56], "85": [9, 14, 15, 18, 21, 22, 23, 24, 30, 31, 42, 44, 48, 49, 50, 51, 54], "100": [9, 14, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 29, 30, 31, 32, 36, 37, 38, 40, 41, 44, 45, 46, 48, 49, 51, 52, 53, 55, 56], "andrea": 10, "m\u00fcller": 10, "scikit": [10, 11, 12, 14, 16, 19, 20, 21, 23, 25, 26, 27, 28, 30, 31, 32, 43, 45, 46, 47, 49, 51, 54, 56, 58], "scientist": [10, 13, 27, 53], "interact": [10, 13, 16, 19, 20, 21, 24, 26, 27, 28, 31, 45, 46, 47, 50, 53, 54, 58, 59], "panda": [10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60], "lesson": [10, 17, 25, 43, 51], "Of": [10, 13, 18, 43, 46], "dsci": [10, 24], "511": [10, 32], "old": [10, 13, 23, 28, 38, 49], "cpsc": [10, 11, 14, 23, 25, 29, 30, 31, 49, 51, 55, 56, 57, 58], "330": [10, 11, 14, 18, 25, 31, 34, 37, 41, 49, 51, 54, 55, 56, 57, 58], "swcarpentri": 10, "novic": 10, "inflamm": 10, "www": [10, 19], "codecademi": 10, "dataquest": 10, "datacamp": 10, "cheat": 10, "sheet": 10, "learnxinyminut": 10, "numpi": [10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60], "quickstart": 10, "ucsb": 10, "edu": [10, 54], "che210d": 10, "pdf": 10, "pcarter": 10, "cs189": 10, "cs189_ch7": 10, "html": [10, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 30, 32, 33, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 48, 49, 56], "coursera": 10, "org": [10, 13, 15, 17, 18, 20, 21, 22, 23, 25, 29, 30, 35, 36, 37, 38, 39, 40, 41, 43, 46, 48, 49, 51, 55, 56], "udac": 10, "foundat": [10, 12, 21, 22, 24, 48, 50], "ud036": 10, "principl": [10, 12, 14], "dabeaz": 10, "capabl": 10, "ng": [10, 20, 25, 51], "famou": [10, 30, 38, 55, 56], "bloomberg": 10, "ai": [10, 13, 21, 25, 30, 33, 34, 39, 51, 55, 56], "translat": [10, 13, 33], "insid": [10, 18, 21, 44, 45, 47], "box": [10, 24, 50], "versu": 10, "statist": [10, 13, 14, 19, 24, 28, 32, 33, 45, 54], "awesom": [10, 29, 55], "slide": [10, 17, 52, 57], "deck": 10, "directori": [11, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 36, 38, 40, 41, 48, 60], "2023w1": [11, 13, 18, 41, 49, 54, 55, 56], "updat": [11, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 43, 44, 48, 49, 52, 59, 60], "plan": [11, 13, 22, 25, 29, 32, 48, 51, 57], "conflict": [11, 21, 27, 45, 53, 57], "smoothli": 11, "sourc": [11, 13, 14, 15, 16, 17, 18, 20, 23, 24, 25, 26, 27, 28, 29, 30, 40, 43, 44, 46, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59], "wide": [11, 19, 20, 23, 25, 30, 45, 49, 51, 56], "miniconda": 11, "scipi": [11, 20, 27, 46, 52, 53, 55], "suitabl": [11, 12, 13, 26, 52], "miniconda3": [11, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 32, 34, 35, 37, 38, 40, 41, 48, 51, 58, 59, 60], "maxosx": 11, "bit": [11, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 28, 29, 30, 32, 36, 38, 40, 46, 49, 50, 52, 55, 56], "pkg": 11, "correctli": [11, 14, 15, 21, 59], "macbook": 11, "restart": [11, 58], "prepend": 11, "prompt": [11, 57], "kvarada": [11, 13, 14, 15, 18, 24, 25, 29, 37, 41, 58, 59], "w": [11, 15, 18, 19, 22, 26, 29, 31, 34, 45, 48, 52, 55], "kvarada01": 11, "confirm": 11, "greater": [11, 25, 26, 29, 51, 52, 55], "menu": 11, "anaconda": [11, 24, 25, 29, 50, 55], "user": [11, 13, 14, 15, 17, 18, 20, 23, 24, 25, 26, 27, 29, 32, 33, 37, 41, 46, 49, 52, 53, 58, 59, 60], "your_nam": 11, "wrong": [11, 13, 15, 19, 22, 25, 26, 32, 37, 48, 51, 52, 58], "uninstal": 11, "opt": [11, 23, 51], "again": [11, 13, 14, 15, 17, 27, 28, 29, 30, 32, 35, 36, 37, 38, 53, 54, 55, 56, 58, 59], "through": [11, 13, 14, 16, 21, 22, 25, 27, 28, 29, 30, 40, 41, 51, 53, 55, 56, 59], "thorough": [11, 12], "stabil": 11, "delai": [11, 13, 25, 28, 51], "fewer": [11, 23, 25, 27, 51, 53], "driven": [11, 20, 21, 28, 46, 47, 54], "forg": [11, 21, 22, 23, 24, 25, 49, 50, 51, 55, 58, 59], "enabl": [11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 58, 59, 60], "access": [11, 13, 15, 17, 18, 20, 23, 26, 28, 29, 31, 34, 45, 46, 49, 52, 54, 55, 58], "config": 11, "analys": 11, "spellcheck": 11, "nb_conda_kernel": 11, "script": [11, 13, 38], "certain": [11, 13, 16, 19, 20, 21, 24, 25, 26, 29, 32, 39, 43, 46, 50, 52, 55, 58], "tensorflow": [11, 24, 30, 50, 56], "project": [11, 17, 21, 22, 23, 30, 48, 56, 57], "affect": [11, 16, 17, 19, 20, 21, 26, 31, 32, 43, 45, 46, 52], "env": [11, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 32, 34, 35, 37, 38, 40, 41, 48, 51, 58, 59, 60], "small": [11, 13, 15, 16, 18, 20, 22, 23, 24, 25, 26, 28, 30, 32, 36, 37, 40, 41, 46, 48, 49, 50, 51, 52, 54, 56], "bootstrap": 11, "navig": [11, 13], "cpsc330env": 11, "yml": 11, "environemnt": 11, "successfulli": [11, 13, 25, 51, 58], "deactiv": 11, "lab": [11, 13, 14, 15, 26, 58, 59], "browser": 11, "newli": [11, 17, 22, 25, 27, 51, 53], "screenshot": 11, "prefer": [11, 13, 23, 26, 28, 52, 54], "manual": [11, 13, 18, 21, 25, 26, 27, 29, 36, 47, 51, 53, 55], "later": [11, 13, 14, 18, 21, 30, 31, 44, 47, 56], "rid": [11, 18, 23, 24, 29, 32, 37, 49, 50, 55], "miss": [11, 13, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 28, 31, 32, 34, 37, 38, 39, 42, 43, 47, 48, 49, 50, 51, 52, 57], "pip": [11, 25, 28, 34, 51, 54, 58], "yet": [11, 13, 19, 31, 32, 34, 37, 57], "troubl": 11, "md": [11, 13, 14, 29, 55], "dive": [12, 59], "concept": [12, 14, 15, 25, 31, 37, 51, 57], "learner": [12, 13, 15, 16, 23, 49], "expertis": [12, 51], "equip": [12, 16, 32], "particip": [12, 13, 57], "span": [12, 29, 55], "supervis": [12, 17, 18, 20, 21, 22, 25, 27, 29, 31, 32, 34, 42, 43, 46, 48, 51, 53, 55, 57], "level": [12, 16, 19, 21, 22, 23, 24, 25, 27, 28, 29, 30, 31, 39, 41, 45, 48, 49, 50, 51, 53, 54, 55, 56], "throughout": [12, 13, 15], "emphasi": [12, 57], "skill": [12, 13, 23], "variou": [12, 13, 22, 24, 30, 31, 32, 50, 56, 58, 59, 60], "task": [12, 17, 18, 19, 20, 24, 25, 26, 28, 30, 31, 33, 34, 36, 50, 51, 52, 56, 58, 59, 60], "trade": [12, 19, 21, 25, 26, 42, 45, 47, 51, 52], "off": [12, 13, 19, 21, 22, 25, 26, 29, 30, 32, 36, 40, 41, 42, 43, 45, 46, 47, 48, 51, 52, 55, 56], "complex": [12, 14, 16, 19, 20, 22, 23, 24, 25, 27, 29, 30, 31, 36, 43, 45, 46, 48, 49, 50, 51, 52, 53, 55, 56, 58, 59], "identifi": [12, 14, 15, 16, 17, 20, 21, 22, 26, 27, 28, 29, 31, 34, 38, 41, 43, 44, 46, 47, 48, 50, 52, 53, 54, 55], "techniqu": [12, 16, 20, 25, 28, 30, 32, 46, 51, 54, 56, 59], "scenario": [12, 15, 18, 23, 24, 25, 27, 31, 32, 42, 50, 51, 53], "integr": 12, "intuit": [12, 13, 14, 16, 17, 18, 20, 22, 24, 25, 26, 27, 28, 32, 33, 46, 50, 51, 52, 53, 54], "differenti": [12, 14], "accuraci": [12, 14, 15, 16, 17, 20, 21, 23, 24, 25, 27, 28, 30, 32, 34, 35, 36, 39, 42, 46, 47, 49, 50, 51, 53, 54, 56, 57, 59], "precis": [12, 13, 22, 42, 48, 49], "recal": [12, 14, 15, 16, 17, 18, 19, 22, 26, 28, 37, 38, 39, 42, 48, 49, 51, 52, 54, 58, 60], "f1": [12, 22, 42], "score": [12, 13, 16, 17, 18, 23, 24, 27, 30, 31, 32, 33, 34, 35, 36, 37, 38, 42, 43, 44, 45, 49, 50, 53, 56, 58, 59], "ap": [12, 42], "auc": [12, 32], "roc": 12, "absolut": [12, 13, 19, 21, 22, 24, 25, 26, 37, 38, 48, 50, 51, 52], "r": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 45, 58, 59, 60], "context": [12, 14, 17, 19, 20, 21, 23, 24, 25, 27, 28, 29, 30, 33, 42, 43, 45, 47, 49, 50, 51, 53, 54, 55, 56], "perform": [12, 13, 14, 15, 16, 17, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 31, 36, 38, 39, 43, 46, 47, 48, 49, 50, 51, 52, 53, 55, 59, 60], "signific": [12, 17, 37], "improv": [12, 14, 20, 21, 22, 23, 26, 27, 28, 31, 32, 33, 34, 35, 37, 46, 47, 49, 52, 53, 54], "contrast": 12, "recurs": 12, "elimin": 12, "analyz": [12, 13, 21, 25, 32, 38, 47, 49, 51], "averag": [12, 13, 15, 16, 18, 19, 20, 22, 24, 25, 26, 32, 38, 42, 44, 45, 46, 47, 48, 50, 51, 52, 58], "forest": [12, 13, 21, 22, 30, 31, 32, 42, 48, 56], "lgbm": [12, 23, 42, 49], "catboost": [12, 24, 42, 50], "advantag": [12, 17, 18, 19, 23, 27, 38, 42, 45, 49, 53], "mitig": 12, "hierarch": 12, "dbscan": 12, "segment": [12, 13, 21, 30, 32, 40, 56], "meaning": [12, 16, 18, 21, 24, 26, 29, 33, 36, 47, 50, 52, 55, 59], "delv": [12, 29, 55, 58], "word2vec": [12, 30, 56], "glove": [12, 29, 55], "captur": [12, 15, 17, 19, 23, 25, 27, 28, 31, 38, 49, 51, 53, 54], "semant": [12, 26, 27, 52, 53], "textual": 12, "drawback": [12, 24, 50], "superior": 12, "handl": [12, 13, 14, 16, 17, 18, 20, 22, 23, 24, 25, 27, 30, 32, 35, 38, 48, 49, 50, 52, 53, 60], "split": [12, 14, 16, 18, 19, 20, 22, 23, 25, 29, 34, 38, 42, 43, 44, 45, 46, 48, 49, 51, 55, 58, 59, 60], "conduct": 12, "forecast": [12, 14], "futur": [12, 13, 15, 17, 18, 20, 32, 43, 46], "grasp": 12, "trend": [12, 33], "irregular": 12, "interv": [12, 31, 32], "acquir": [12, 13, 58], "implic": [12, 17, 59], "special": [12, 13, 18, 28, 30, 31, 54, 56, 59], "approach": [12, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 29, 34, 36, 37, 43, 46, 47, 48, 49, 50, 51, 52, 55, 60], "lifelin": [12, 32], "kaplan": 12, "meier": 12, "cox": 12, "proport": [12, 14, 15, 18, 19, 21, 22, 23, 24, 39, 45, 47, 48, 49, 50, 52], "hazard": 12, "collect": [12, 13, 14, 17, 18, 20, 21, 23, 24, 25, 28, 29, 30, 31, 32, 37, 43, 44, 46, 47, 49, 50, 51, 54, 55, 56], "critic": [12, 31], "potenti": [12, 16, 17, 26, 52, 59, 60], "bias": [12, 21, 24, 32, 39, 50], "societ": 12, "impact": [12, 13, 18, 19, 23, 24, 27, 39, 50, 53, 58], "cultiv": 12, "advanc": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37, 38, 40, 41, 42, 44, 46, 52, 53, 54, 55, 56, 58, 59, 60], "tailor": [12, 26, 52], "divers": [12, 23, 28, 49, 54], "audienc": 12, "emphas": 12, "reader": [12, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 35, 38, 48, 54, 60], "centric": 12, "contextu": 12, "visual": [12, 14, 15, 16, 18, 19, 21, 22, 23, 24, 25, 26, 30, 31, 35, 38, 44, 46, 48, 49, 50, 51, 52, 54, 56, 59], "clariti": 12, "convei": 12, "stakehold": 12, "matplotlib": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 30, 31, 32, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 58, 59, 60], "os": [13, 14, 15, 18, 19, 20, 21, 23, 24, 25, 26, 27, 28, 29, 30, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 49, 50, 51, 52, 53, 54, 55, 56], "sy": [13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 25, 26, 27, 28, 29, 30, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60], "abspath": [13, 23, 24, 26, 27, 28, 29, 30, 34, 37, 39, 40, 41, 46, 47, 49, 50, 52, 53, 54, 55, 56], "feature_extract": [13, 18, 19, 20, 21, 25, 29, 33, 34, 37, 38, 44, 45, 46, 51, 55], "countvector": [13, 19, 20, 21, 25, 29, 33, 34, 37, 38, 42, 44, 45, 46, 51, 55, 60], "linear_model": [13, 19, 21, 22, 23, 24, 25, 28, 29, 30, 31, 32, 34, 38, 39, 42, 45, 47, 48, 49, 50, 51, 54, 55, 56], "logisticregress": [13, 19, 22, 23, 24, 25, 29, 30, 34, 38, 39, 42, 45, 48, 49, 50, 51, 55, 56], "model_select": [13, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 28, 30, 31, 32, 34, 35, 36, 37, 38, 39, 42, 43, 44, 45, 47, 48, 49, 50, 51, 54, 56, 59, 60], "train_test_split": [13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 28, 30, 31, 32, 34, 35, 36, 37, 38, 39, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 54, 56, 59, 60], "make_pipelin": [13, 18, 19, 20, 21, 22, 23, 24, 25, 29, 30, 31, 32, 34, 37, 38, 39, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 55, 56], "rcparam": [13, 14, 21, 26, 27, 28, 30, 31, 32, 41, 52, 53, 54, 56], "font": [13, 14, 26, 27, 28, 31, 32, 52, 53, 54], "size": [13, 14, 15, 18, 20, 21, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 36, 41, 45, 46, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58], "set_opt": [13, 14, 15, 16, 17, 18, 19, 20, 21, 27, 28, 35, 37, 38, 39, 43, 44, 45, 46, 47, 53, 54, 59, 60], "max_colwidth": [13, 14, 15, 16, 17, 18, 19, 20, 21, 27, 28, 35, 37, 38, 39, 43, 44, 45, 46, 47, 53, 54, 59, 60], "200": [13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 25, 27, 28, 29, 30, 33, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 49, 51, 52, 53, 54, 55, 56, 58, 59, 60], "intel": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 58, 59, 60], "mkl": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 58, 59, 60], "stream": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 58, 59, 60], "simd": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 58, 59, 60], "extens": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 53, 54, 55, 58, 59, 60], "sse4": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 58, 59, 60], "processor": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 58, 59, 60], "deprec": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 58, 59, 60], "oneapi": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 58, 59, 60], "2025": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 58, 59, 60], "vector": [13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 43, 44, 50, 52, 54, 56, 58, 59, 60], "avx": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 58, 59, 60], "motiv": [13, 18, 44, 52], "studi": [13, 18, 25, 29, 32, 51, 55], "coordin": [13, 57], "enthusiast": 13, "And": [13, 14, 20, 22, 29, 31, 32, 39, 48, 55], "\u028b\u0259\u027e\u0259da": 13, "k\u0254\u02d0l\u0266\u0259\u0288k\u0259r": 13, "ada": 13, "am": [13, 17, 25, 28, 29, 38, 55], "assist": 13, "professor": 13, "linguist": [13, 18], "toronto": [13, 25, 29], "primarili": [13, 14, 24, 30, 50, 56, 60], "third": [13, 27, 53], "contact": [13, 57], "email": [13, 15, 21, 33, 47, 57], "icc": 13, "237": [13, 21, 41], "andi": [13, 54], "pathlog": 13, "laboratori": 13, "medicin": 13, "cancer": [13, 25, 28, 55], "bioinformat": 13, "biologi": [13, 18], "aroth": 13, "339": [13, 21, 40], "research": [13, 15, 20, 28, 33, 54], "year": [13, 14, 28, 29, 30, 31, 32, 34, 38, 55, 56, 59], "ago": [13, 28, 30, 31, 38, 56], "her": [13, 28, 29, 38, 54, 55], "prior": [13, 26, 31, 33, 52], "she": [13, 25, 28, 38, 51, 54, 55], "role": [13, 19, 20, 24, 30, 45, 50, 56], "advis": 13, "experi": [13, 17, 20, 40, 41, 46, 57, 58], "spare": 13, "restaur": [13, 28, 37, 54], "vancouv": [13, 29, 55], "walk": [13, 21, 28, 38, 59], "hit": [13, 20, 46], "gym": 13, "vedant": 13, "2nd": [13, 16, 19, 44, 45], "msc": 13, "he": [13, 15, 18, 28, 38, 44, 55, 59], "hi": [13, 28, 29, 38, 55, 59], "area": [13, 20, 22, 23, 25, 26, 48, 49, 51, 52], "aim": [13, 37], "personalis": 13, "intellig": [13, 29, 34, 55], "tutor": 13, "cognit": 13, "abil": [13, 18, 20, 24, 29, 31, 38, 50, 52, 55], "tedx": 13, "speaker": 13, "bachelor": [13, 21, 23, 24, 39, 49, 50], "psycholog": [13, 18, 42, 44], "brought": [13, 38], "world": [13, 16, 17, 18, 19, 20, 21, 24, 25, 26, 27, 28, 29, 30, 38, 43, 46, 47, 49, 50, 51, 52, 53, 54, 55, 56, 58], "explor": [13, 14, 15, 20, 21, 24, 25, 29, 30, 34, 35, 36, 38, 41, 47, 50, 51, 55, 56, 58, 59, 60], "cafe": 13, "town": [13, 25, 51], "4th": [13, 21, 23, 24, 39, 49, 50], "bsc": 13, "internship": 13, "competit": [13, 23, 28, 30, 49, 54, 56], "boulder": 13, "organ": [13, 14, 17, 29, 43, 55], "wic": 13, "nwplu": 13, "meng": 13, "ec": 13, "daoai": 13, "robot": [13, 29, 55], "inc": [13, 24, 29, 50, 55], "camera": [13, 18, 44], "focus": [13, 19, 26, 45, 51, 52], "biomed": 13, "phd": [13, 29, 55], "track": [13, 18, 59], "rare": [13, 18, 21, 22, 26, 47, 48, 51, 52], "simul": [13, 25, 51], "estim": [13, 15, 16, 18, 19, 20, 25, 26, 32, 35, 37, 42, 44, 46, 51, 52, 60], "probabl": [13, 16, 17, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 37, 38, 42, 43, 46, 47, 49, 50, 51, 52, 53, 54, 55, 56], "happi": [13, 21, 26, 32, 35, 52, 58], "emac": 13, "revolv": 13, "variat": [13, 15, 19, 21, 22, 25, 51], "autoencod": 13, "extract": [13, 25, 26, 28, 30, 33, 34, 36, 40, 41, 51, 52, 54, 56, 57], "prostat": 13, "tumor": 13, "sampl": [13, 14, 16, 17, 19, 20, 24, 27, 28, 30, 31, 32, 36, 40, 41, 43, 46, 47, 50, 53, 54, 56], "sequenc": [13, 15, 18, 30, 31, 33, 56], "3rd": [13, 29, 55], "direct": [13, 19, 24, 25, 27, 38, 50, 51, 53], "chemistri": 13, "hold": [13, 24, 37], "miraterra": 13, "novel": [13, 38], "sensor": 13, "carbon": 13, "verif": 13, "mrv": 13, "optic": [13, 32], "vibrat": 13, "spectroscopi": 13, "signal": [13, 15, 29, 55], "bio": 13, "harvard": 13, "school": [13, 21, 23, 24, 28, 39, 49, 50, 54], "laser": 13, "particl": 13, "lp": 13, "among": [13, 14, 20, 21, 23, 24, 28, 46, 47, 50, 54], "buzz": 13, "curios": 13, "curiou": 13, "spend": [13, 17, 25, 37, 51], "semest": [13, 57], "fill": [13, 14, 16, 19, 20, 28, 35, 37, 45, 46, 54, 55, 56, 57, 58, 59, 60], "chanc": [13, 14, 15, 20, 21, 22, 25, 26, 39, 46, 47, 51, 52, 59], "webpag": 13, "readm": [13, 32], "welcom": [13, 15, 57, 58, 59], "reflect": [13, 22, 24, 29, 38, 48, 50, 55, 59], "great": [13, 14, 16, 18, 19, 24, 25, 27, 28, 29, 30, 31, 37, 38, 50, 51, 52, 55, 56], "takeawai": [13, 14, 15, 31], "struggl": [13, 14, 15], "address": [13, 14, 15, 27, 28, 38, 53, 58], "let": [13, 14, 15, 19, 20, 23, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 38, 41, 42, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 55, 56, 57, 59, 60], "voic": 13, "face": [13, 14, 16, 30, 36, 56], "auto": [13, 20, 21, 25, 26, 40, 41, 51, 52], "stock": [13, 31], "market": [13, 26, 30, 31, 52], "alphago": [13, 26, 52], "drive": [13, 24, 38, 50], "car": [13, 29, 55], "drug": 13, "discoveri": 13, "detect": [13, 14, 21, 22, 26, 27, 28, 30, 31, 33, 39, 47, 48, 52, 53, 56], "identif": [13, 25, 51], "consum": [13, 25, 26, 28, 41, 51, 52, 54], "robust": [13, 15, 16, 17, 20, 23, 27, 35, 37, 43, 46, 53], "larg": [13, 15, 16, 17, 19, 21, 22, 26, 27, 28, 29, 30, 35, 38, 42, 43, 45, 47, 48, 51, 52, 53, 54, 55, 56], "gmail": [13, 26, 52], "unsupervis": [13, 28, 30, 34, 54, 56, 57], "pattern": [13, 14, 15, 18, 20, 25, 26, 28, 29, 31, 46, 51, 52, 55, 59], "unlabel": [13, 15, 27, 53], "reinforc": [13, 26, 52, 58, 59, 60], "famili": [13, 21, 22, 24, 26, 43, 46, 48, 49, 50, 52, 57, 59], "maxim": [13, 21, 22, 26, 28, 48, 52, 54], "reward": [13, 18, 26, 33, 44, 52], "amazon": [13, 25, 26, 28, 51, 52, 54], "item": [13, 23, 24, 26, 29, 30, 33, 34, 49, 50, 52, 54, 55, 56], "rate": [13, 19, 21, 23, 24, 26, 38, 39, 47, 49, 52], "compris": [13, 14, 26, 52, 58], "observ": [13, 14, 15, 23, 24, 26, 31, 32, 49, 50, 51, 52, 58, 59], "wish": [13, 14, 26, 52, 57], "worri": [13, 27, 28, 53, 54], "sm": [13, 18, 44], "sms_df": 13, "csv": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 28, 29, 30, 31, 32, 34, 35, 37, 38, 39, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 54, 55, 56, 60], "encod": [13, 14, 15, 16, 20, 21, 22, 23, 24, 28, 30, 32, 33, 34, 35, 37, 38, 39, 45, 47, 48, 50, 52, 54, 56, 58, 59, 60], "latin": [13, 21, 39, 47], "drop": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 31, 32, 35, 37, 38, 39, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 60], "column": [13, 14, 15, 16, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 33, 34, 35, 36, 37, 38, 39, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 59, 60], "unnam": [13, 38], "renam": [13, 21, 31], "v1": [13, 21, 34, 39, 47], "v2": [13, 21, 39, 47], "train_df": [13, 17, 18, 19, 21, 22, 23, 24, 25, 31, 32, 34, 38, 39, 43, 45, 47, 48, 49, 50, 51, 58], "test_df": [13, 17, 18, 19, 21, 22, 23, 24, 25, 31, 32, 34, 38, 39, 43, 45, 47, 48, 49, 50, 51], "test_siz": [13, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 28, 30, 31, 34, 35, 37, 38, 39, 43, 44, 45, 46, 47, 48, 49, 50, 51, 54, 56, 59, 60], "random_st": [13, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60], "to_html": [13, 14, 15], "index": [13, 14, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 47, 48, 49, 50, 51, 53, 54, 55, 56, 58, 59], "filenotfounderror": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 40, 41, 48, 60], "parser": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 29, 34, 35, 38, 48, 55, 60], "912": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "filepath_or_buff": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "delimit": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "header": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "usecol": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "true_valu": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "false_valu": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "skipinitialspac": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "skiprow": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "skipfoot": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "nrow": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "na_valu": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "keep_default_na": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "na_filt": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "verbos": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 35, 38, 48, 49, 50, 54, 60], "skip_blank_lin": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "infer_datetime_format": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "keep_date_col": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "date_pars": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "date_format": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "dayfirst": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "cache_d": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "iter": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 27, 28, 30, 34, 35, 36, 38, 40, 41, 46, 48, 51, 53, 56, 58, 59, 60], "chunksiz": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "compress": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 35, 37, 38, 48, 52, 55, 60], "thousand": [13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 35, 38, 48, 53, 60], "decim": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 58, 59, 60], "linetermin": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "quotechar": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "quot": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 35, 38, 48, 60], "doublequot": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "escapechar": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "encoding_error": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "dialect": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "on_bad_lin": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "delim_whitespac": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "low_memori": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "memory_map": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "float_precis": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "storage_opt": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "dtype_backend": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "899": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 43, 46, 60], "kwds_default": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "_refine_defaults_read": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "900": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 33, 35, 38, 44, 46, 60], "901": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "908": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 33, 35, 38, 60], "909": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "910": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "_read": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "577": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "574": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "_validate_nam": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "576": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "textfileread": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "579": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "580": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 30, 35, 38, 60], "1407": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 51, 60], "__init__": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 40, 41, 48, 60], "1404": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 32, 35, 38, 60], "has_index_nam": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "1406": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "iohandl": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "_engin": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "_make_engin": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "1661": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "1659": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "mode": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 43, 46, 48, 50, 60], "1660": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "get_handl": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "1662": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "1663": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "1664": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "1665": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "1666": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "1667": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "is_text": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "1668": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "strict": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "1669": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "1670": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "1671": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 34, 35, 38, 60], "1672": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "859": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "path_or_buf": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "854": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "elif": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 31, 32, 35, 38, 48, 60], "isinst": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 32, 34, 35, 38, 48, 58, 60], "855": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "filenam": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 35, 38, 48, 54, 58, 59, 60], "binari": [13, 14, 16, 17, 18, 19, 20, 22, 23, 24, 25, 30, 32, 35, 37, 38, 39, 42, 43, 44, 47, 48, 50, 56, 60], "856": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 46, 60], "newlin": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "857": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 46, 48, 60], "ioarg": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "858": [13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 35, 38, 60], "860": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 49, 60], "861": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "862": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "863": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "864": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 49, 60], "865": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "866": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "els": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 30, 31, 32, 34, 35, 36, 38, 39, 40, 41, 48, 51, 56, 60], "867": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "868": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "errno": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 40, 41, 48, 60], "x_train": [13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 28, 30, 31, 32, 34, 35, 36, 37, 38, 39, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 54, 56, 59, 60], "y_train": [13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 28, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 54, 56, 59, 60], "x_test": [13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 30, 31, 32, 34, 35, 37, 38, 39, 43, 45, 46, 47, 48, 49, 50, 51, 56, 59, 60], "y_test": [13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 30, 31, 32, 34, 35, 37, 38, 39, 43, 45, 46, 47, 48, 49, 50, 51, 56, 59, 60], "clf": [13, 14, 16, 19, 30, 45, 56, 58], "max_featur": [13, 18, 20, 23, 37, 38, 44, 45, 46, 49, 60], "5000": [13, 14, 38], "max_it": [13, 21, 23, 24, 25, 29, 30, 31, 32, 34, 38, 39, 47, 49, 50, 51, 52, 55, 56], "datafram": [13, 14, 15, 16, 17, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59], "3245": 13, "funni": [13, 23, 25, 51], "fact": [13, 20, 21, 23, 28, 30, 31, 32, 56], "nobodi": [13, 38], "volcano": 13, "erupt": 13, "tsunami": 13, "hurrican": 13, "swai": 13, "aroundn": 13, "choos": [13, 20, 21, 23, 27, 30, 46, 47, 49, 53, 56], "wife": [13, 21, 24, 38, 49, 50], "disast": 13, "944": 13, "sent": [13, 29, 55], "sopha": 13, "had": [13, 17, 18, 19, 21, 28, 30, 31, 32, 34, 38, 44, 55, 56, 59, 60], "secondari": 13, "joke": 13, "ogunrind": 13, "m": [13, 15, 20, 22, 23, 24, 25, 27, 28, 29, 30, 31, 32, 34, 36, 37, 38, 40, 41, 46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 59], "1044": 13, "someon": [13, 14, 15, 25, 32, 38, 51], "09058097218": 13, "pobox": 13, "ls15hb": 13, "150p": 13, "2484": 13, "promis": [13, 28, 29, 31, 34, 49, 55], "ok": [13, 16, 22, 29, 31, 32, 42, 48, 55, 58, 59], "pred_dict": 13, "spam_predict": 13, "pred_df": [13, 28, 54], "set_properti": 13, "nbsp": 13, "ham": 13, "expens": [13, 21, 22, 25, 26, 28, 29, 51, 52, 54, 55], "accur": [13, 15, 23, 24, 25, 28, 49, 50, 51, 54], "arthur": 13, "samuel": 13, "1959": [13, 35], "concret": 13, "suppos": [13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 25, 26, 27, 28, 29, 32, 43, 44, 45, 46, 49, 50, 51, 52, 54, 55, 58], "df": [13, 14, 15, 17, 18, 20, 21, 22, 24, 25, 29, 30, 31, 32, 34, 35, 37, 43, 44, 46, 47, 48, 50, 51, 55, 56], "indian_liver_pati": 13, "gender": [13, 18, 21, 29, 32, 39, 55], "replac": [13, 17, 21, 23, 24, 28, 32, 37, 38, 39, 43, 49, 50, 51, 54], "ag": [13, 19, 21, 22, 23, 24, 28, 37, 39, 41, 48, 49, 50, 54, 58], "total_bilirubin": 13, "direct_bilirubin": 13, "alkaline_phosphotas": 13, "alamine_aminotransferas": 13, "aspartate_aminotransferas": 13, "total_protien": 13, "albumin": 13, "albumin_and_globulin_ratio": 13, "358": [13, 20, 23], "256": [13, 30, 41, 56], "80": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 25, 27, 29, 31, 32, 34, 36, 37, 40, 42, 44, 45, 46, 48, 50, 51, 53, 55], "71": [13, 14, 15, 18, 19, 21, 22, 26, 31, 32, 48, 52], "171": [13, 30, 40], "199": [13, 16, 18, 21, 37], "lightgbm": [13, 24, 50], "lgbmclassifi": [13, 23, 24, 49, 50], "rerun": [13, 17, 18, 20, 21, 22, 23, 25, 30, 35, 36, 37, 38, 39, 40, 41, 43, 46, 48, 49, 56], "represent": [13, 14, 17, 20, 21, 22, 23, 25, 26, 27, 35, 36, 37, 38, 39, 40, 41, 42, 43, 46, 48, 49, 51, 52, 53, 60], "trust": [13, 17, 18, 20, 21, 22, 23, 24, 25, 28, 30, 35, 36, 37, 38, 39, 40, 41, 43, 46, 48, 49, 50, 54, 56], "unabl": [13, 17, 18, 20, 21, 22, 23, 25, 27, 30, 35, 36, 37, 38, 39, 40, 41, 43, 46, 48, 49, 53, 56, 57], "nbviewer": [13, 17, 18, 20, 21, 22, 23, 25, 30, 35, 36, 37, 38, 39, 40, 41, 43, 46, 48, 49, 56], "lgbmclassifierlgbmclassifi": 13, "reset_index": [13, 24, 31, 50], "178": [13, 22, 48], "719": [13, 17, 25, 28, 54], "157": [13, 20, 46], "108": [13, 28, 40], "214": [13, 20, 46], "412": [13, 43, 46], "850": [13, 23, 24, 49, 50], "78": [13, 14, 15, 17, 18, 21, 22, 25, 31, 32, 42, 44, 48, 51, 56], "162": [13, 40], "155": [13, 20, 46], "predicted_target": 13, "tolist": [13, 14, 15, 18, 19, 21, 22, 23, 24, 25, 26, 31, 32, 33, 34, 35, 36, 37, 44, 45, 48, 49, 50, 51, 52, 59], "df_concat": 13, "concat": [13, 16, 17, 18, 19, 24, 43, 45, 50], "conda": [13, 21, 22, 23, 24, 25, 26, 29, 33, 34, 40, 41, 49, 50, 51, 52, 55, 58, 59], "instal": [13, 14, 16, 21, 22, 23, 24, 25, 26, 28, 29, 34, 40, 41, 49, 50, 51, 52, 54, 55, 58, 59], "torchvis": [13, 30, 36, 40, 41, 56], "laptop": [13, 15, 24, 50, 51], "crucial": [13, 15, 19, 24, 26, 27, 29, 45, 50, 52, 53, 55], "pytorch": [13, 30, 40, 41, 56], "img_classifi": 13, "pil": [13, 30, 36, 40, 41, 56], "glob": [13, 30, 36, 40, 41, 49, 54, 56], "topn": [13, 30, 56], "test_imag": [13, 30, 56], "jpg": [13, 30, 36, 40, 41, 56], "class_labels_fil": 13, "imagenet_class": [13, 30, 56], "txt": [13, 30, 56], "img_path": 13, "img": [13, 30, 36, 40, 41, 56], "rgb": 13, "imshow": [13, 30, 36, 40, 41, 55, 56], "classify_imag": [13, 30, 56], "to_str": [13, 30, 56], "cheetah": [13, 30], "chetah": [13, 30], "acinonyx": [13, 30], "jubatu": [13, 30], "994": [13, 15], "leopard": [13, 30], "panthera": [13, 30], "pardu": [13, 30], "005": [13, 23, 24, 49, 50], "jaguar": [13, 30], "panther": [13, 30], "onca": [13, 30], "feli": [13, 30], "001": [13, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25, 30, 32, 34, 38, 46, 48, 49, 50, 51], "snow": [13, 30], "ounc": [13, 30], "uncia": [13, 30], "000": [13, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25, 29, 32, 34, 38, 46, 48, 49, 50, 51, 55], "tiger": [13, 30], "cat": [13, 21, 23, 25, 29, 30, 33, 36, 40, 41, 47, 49, 51, 55, 56], "636": [13, 17, 18, 43], "tabbi": [13, 30], "174": [13, 40, 43, 46], "pembrok": [13, 30], "welsh": [13, 30], "corgi": [13, 30], "081": [13, 51], "lynx": [13, 30], "catamount": [13, 30], "011": [13, 18, 23, 24, 25, 50, 51], "macaqu": [13, 30], "885": 13, "pata": [13, 30], "hussar": [13, 30], "monkei": [13, 30], "erythrocebu": [13, 30], "062": [13, 28, 43, 46, 54], "probosci": [13, 30], "nasali": [13, 30], "larvatu": [13, 30], "015": [13, 17, 18, 23, 24, 49, 50], "titi": 13, "010": [13, 19, 20, 23, 38, 46, 49], "walker": [13, 30], "hound": [13, 30], "foxhound": [13, 30], "582": [13, 23, 49], "english": [13, 17, 20, 21, 25, 29, 30, 34, 37, 38, 43, 46, 51, 55, 60], "144": [13, 20, 23, 40, 41, 46, 51], "beagl": [13, 30], "068": 13, "entlebuch": [13, 30], "059": [13, 15, 17], "neg": [13, 14, 15, 16, 19, 22, 23, 24, 25, 29, 31, 32, 34, 45, 48, 49, 50, 51, 55], "imdb_df": [13, 38], "imdb_mast": [13, 38], "iso": [13, 34, 38], "8859": [13, 34, 38], "startswith": [13, 24, 38, 50], "po": [13, 17, 18, 19, 22, 24, 25, 29, 34, 38, 48, 50, 51, 55], "inevit": 13, "onslaught": 13, "slasher": 13, "earli": [13, 15, 24, 28, 32, 50], "1980": 13, "slip": 13, "crack": 13, "film": [13, 25, 38, 51], "jeff": 13, "lieberman": 13, "insur": 13, "cult": 13, "statu": [13, 16, 21, 23, 24, 39, 49, 50], "memor": 13, "1970": [13, 19, 22, 31, 48], "squirm": 13, "blue": [13, 14, 16, 20, 21, 24, 25, 26, 31, 47, 50, 52], "sunshin": [13, 31], "lt": [13, 15, 17, 18, 20, 21, 22, 23, 24, 25, 46, 48, 49, 50, 51], "br": [13, 29, 38, 55], "gt": [13, 18, 19, 20, 21, 22, 23, 46, 48, 49], "five": [13, 20, 33, 46], "young": [13, 38, 59], "oregon": 13, "mountain": [13, 29, 55], "shot": [13, 25, 51], "camp": 13, "deed": 13, "land": [13, 32], "terror": 13, "bulki": 13, "killer": 13, "incred": [13, 30, 38, 56], "creepi": 13, "wheez": 13, "laugh": 13, "dawn": 13, "ambiti": 13, "arti": 13, "flesh": 13, "anywai": 13, "him": [13, 28, 55, 59], "genuin": 13, "suspens": [13, 38], "tension": 13, "refrain": 13, "graphic": [13, 30, 56], "gore": 13, "kill": [13, 32], "cast": [13, 25, 28, 34, 38, 51, 54], "oscar": [13, 19, 38], "winner": [13, 38], "georg": [13, 28, 29, 55], "kennedi": 13, "ranger": 13, "gone": 13, "flaki": [13, 21], "wilder": 13, "jack": 13, "lemmon": 13, "son": [13, 38], "chri": 13, "brian": 13, "de": [13, 29, 31, 55], "palma": 13, "regular": [13, 16, 18, 19, 23, 24, 29, 31, 32, 33, 49, 50, 51, 55], "gregg": 13, "henri": [13, 38], "blond": 13, "deborah": 13, "benson": 13, "known": [13, 32, 36, 58, 59], "judg": [13, 25, 51], "ralph": 13, "seymour": 13, "ghouli": 13, "kellin": 13, "sleepawai": 13, "jami": 13, "rose": [13, 29, 55], "chopper": 13, "chick": [13, 38], "zombietown": 13, "music": [13, 25, 28, 37, 38, 51, 54], "brad": 13, "feidel": 13, "theme": [13, 29, 55], "haunt": 13, "atmospher": 13, "worth": [13, 14, 16, 21, 22, 39, 48, 59], "catch": [13, 21, 47], "twist": 13, "although": [13, 15, 23, 26, 28, 32, 52, 54], "heroin": 13, "almost": [13, 19, 20, 22, 25, 27, 28, 29, 35, 44, 46, 51, 53, 54, 55], "comic": 13, "remind": 13, "viewer": 13, "cartoon": 13, "clever": 13, "touch": [13, 38], "dispatch": 13, "never": [13, 21, 24, 28, 30, 32, 38, 49, 50, 54, 56], "horror": 13, "didn": [13, 20, 23, 24, 27, 31, 32, 36, 46, 49, 50, 53, 55], "honestli": 13, "frighten": 13, "worthi": [13, 19], "noth": [13, 38, 58, 59], "tell": [13, 15, 16, 17, 19, 21, 24, 25, 28, 29, 31, 32, 33, 34, 38, 45, 47, 50, 51, 54, 55], "truth": [13, 23, 25, 26, 27, 28, 31, 49, 51, 52, 53, 54], "i\u00e2": 13, "stun": [13, 38], "disappoint": 13, "gui": 13, "love": [13, 25, 29, 38, 51, 55], "genr": 13, "surpris": [13, 24, 50], "\u00e2": 13, "kid\u00e2": 13, "nuditi": 13, "children": [13, 28, 38, 54], "curs": 13, "swear": 13, "righteou": 13, "far": [13, 14, 16, 17, 18, 19, 21, 24, 25, 26, 27, 28, 29, 31, 32, 33, 42, 43, 44, 45, 50, 51, 52, 53, 55], "account": [13, 15, 21, 25, 28, 47, 51, 52, 54], "synopsi": [13, 55], "stori": [13, 22, 23, 25, 28, 38, 48, 52, 54], "got": [13, 16, 19, 20, 21, 22, 28, 30, 38, 46, 48, 54, 56], "brother": 13, "reckless": 13, "behavior": [13, 17, 18, 21, 28, 47, 54], "met": [13, 28], "kid": [13, 29, 55], "boob": 13, "obsess": 13, "mediev": 13, "freak": 13, "though": [13, 15, 16, 18, 19, 25, 26, 27, 28, 37, 44, 49, 52, 53, 54], "humor": 13, "lame": 13, "haven\u00e2": 13, "plai": [13, 14, 16, 20, 24, 27, 29, 34, 50, 53, 55, 59], "mc": 13, "lovin\u00e2": 13, "sasquatch": 13, "gang": 13, "thrice": 13, "fell": [13, 19], "sleep": 13, "alright": 13, "screenplai": [13, 38], "act": [13, 19, 38, 57], "you\u00e2": 13, "hot": [13, 15, 18, 24, 28, 30, 37, 38, 44, 50, 56], "american": [13, 28, 37], "summer": [13, 28, 31, 54], "suck": 13, "somehow": [13, 28], "star": [13, 16, 25, 26, 28, 51, 54], "attract": [13, 29, 55], "horrend": 13, "felt": [13, 37], "riff": 13, "nake": 13, "scene": 13, "seem": [13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 31, 32, 38, 39, 40, 48, 49, 50, 51, 52, 54, 58, 59], "can\u00e2": 13, "anyon": [13, 17, 43], "pro": [13, 26, 28, 30, 52, 56], "elizabeth": 13, "bank": [13, 21, 24, 31, 32, 39, 50], "topless": 13, "con": [13, 26, 28, 30, 34, 38, 52, 55, 56], "Not": [13, 21, 22, 23, 24, 25, 26, 28, 31, 32, 39, 46, 49, 50, 51, 52, 54], "dread": 13, "mix": [13, 22, 48, 59], "thrown": 13, "job": [13, 27, 31, 32, 40, 52, 58], "employ": [13, 28, 54], "scarc": 13, "unit": [13, 19, 21, 22, 24, 25, 29, 30, 32, 34, 37, 48, 49, 50, 51, 55, 56], "kingdom": 13, "six": [13, 15, 23, 49], "member": [13, 19, 23, 57], "wonder": [13, 15, 38], "boi": [13, 38, 43], "crazi": [13, 37], "advertis": 13, "strike": 13, "gulch": 13, "yukon": 13, "newspap": 13, "clip": [13, 36], "chamberlain": 13, "prepar": [13, 17, 25, 30, 34, 38, 51, 56], "war": [13, 28, 54], "frozen": 13, "misplac": 13, "forti": 13, "joe": 13, "boer": 13, "rather": [13, 18, 20, 21, 22, 23, 26, 30, 37, 46, 47, 48, 49, 52, 56, 57], "nevil": 13, "crisi": 13, "crew": [13, 38], "stan": 13, "laurel": 13, "mistak": [13, 17, 18, 23, 32, 38, 43, 49], "ghost": 13, "jean": 13, "kent": 13, "grandfath": 13, "moor": 13, "marriott": 13, "mine": 13, "somewher": [13, 22], "sleepwalk": 13, "pretti": [13, 14, 18, 19, 21, 23, 26, 29, 31, 32, 37, 40, 49, 55], "marri": [13, 21, 24, 49, 50], "stalwart": 13, "trapper": 13, "anthoni": 13, "hulm": 13, "saloon": 13, "owner": 13, "bernard": 13, "lee": [13, 24, 50], "fate": 13, "wors": [13, 14, 20, 22, 23, 46, 48, 49], "death": [13, 57], "exposur": 13, "acclaim": 13, "uk": 13, "across": [13, 14, 15, 17, 21, 30, 43, 47, 56, 57], "pond": 13, "fast": [13, 15, 16, 19, 23, 24, 29, 32, 38, 50, 55], "furiou": 13, "wouldn": [13, 18, 20, 32, 46, 55], "strictli": 13, "gotten": [13, 32], "sight": 13, "gag": 13, "chase": 13, "marx": 13, "america": [13, 18, 34, 38], "tape": 13, "pick": [13, 14, 19, 21, 23, 24, 25, 26, 27, 30, 35, 47, 49, 50, 51, 52, 53, 56], "everyth": [13, 18, 21, 24, 28, 31, 47, 50, 54], "giveawai": 13, "gai": 13, "color": [13, 19, 24, 25, 26, 27, 40, 44, 45, 50, 52, 53], "india": [13, 29], "unwatch": 13, "sad": 13, "folk": [13, 32, 57], "vanessa": 13, "riot": 13, "mouth": 13, "sailor": 13, "ey": [13, 25, 51], "candi": 13, "bore": [13, 19, 38], "saeed": 13, "jeffrei": 13, "beauti": [13, 28, 29, 54, 55], "landrett": 13, "grace": 13, "background": [13, 14, 28, 54], "ethnic": 13, "plain": 13, "budget": [13, 20, 28, 46, 54], "shouldn": [13, 21, 23, 47, 49, 55], "damn": 13, "stupid": [13, 25, 51], "rasta": 13, "man": [13, 28, 29, 38, 54, 55], "profession": [13, 28, 54], "heard": [13, 15, 28, 38], "opinion": [13, 23, 49], "entertain": [13, 29, 55], "higher": [13, 14, 15, 16, 19, 21, 22, 23, 24, 25, 26, 28, 29, 39, 43, 45, 47, 48, 49, 50, 51, 52, 55], "mayb": [13, 21, 24, 31, 33, 47, 50, 57], "factor": [13, 14, 20, 24, 25, 27, 31, 32, 46, 50, 51, 53], "sicken": 13, "gdp": 13, "hype": 13, "win": [13, 16, 18, 23, 25, 28, 30, 38, 51, 54, 56], "director": [13, 28, 38, 54], "actor": [13, 28, 38, 54], "uninspir": 13, "hole": 13, "sandra": 13, "bullock": 13, "bomb": 13, "bu": 13, "castawai": 13, "matrix": [13, 18, 24, 26, 27, 34, 37, 38, 39, 44, 50, 52, 53], "revolut": 13, "award": [13, 38], "wardrob": 13, "depart": 13, "cloth": [13, 31], "paulina": 13, "porizcova": 13, "rubber": 13, "dress": 13, "jacket": 13, "nt": 13, "letter": [13, 19, 25], "sex": [13, 21, 23, 24, 25, 39, 49, 50, 51], "ass": 13, "soundtrack": 13, "ad": [13, 18, 19, 20, 21, 23, 24, 25, 27, 30, 32, 34, 45, 46, 47, 49, 50, 51, 53, 56], "bonus": 13, "tarantino": 13, "comparison": [13, 27, 30, 37, 56], "flick": [13, 38], "borrow": 13, "virtual": 13, "ever": [13, 14, 30, 38], "real": [13, 15, 16, 17, 18, 19, 21, 24, 25, 26, 27, 28, 29, 30, 37, 43, 47, 49, 50, 52, 53, 54, 55, 56, 58], "sentiment_predict": 13, "11872": 13, "experienc": [13, 57], "vacat": [13, 19], "hell": [13, 25, 51], "sat": [13, 31, 34], "horribl": 13, "tv": 13, "realiz": [13, 28], "nativ": [13, 21, 23, 24, 30, 39, 49, 50, 56], "demand": 13, "life": [13, 14, 19, 26, 28, 37, 38, 52, 54, 57], "plu": [13, 19, 30, 45, 56], "marcia": 13, "bradi": 13, "bikini": 13, "40828": 13, "bela": 13, "lugosi": 13, "serial": [13, 23, 49], "radio": 13, "villain": [13, 38], "cut": 13, "dash": 13, "chandu": 13, "east": [13, 37], "princess": [13, 55], "nadji": 13, "hunt": 13, "leader": 13, "ubasti": 13, "dead": 13, "priestess": 13, "globe": 13, "trot": 13, "pace": [13, 19], "slack": 13, "akin": 13, "princip": 13, "studio": 13, "rip": 13, "roar": 13, "adventur": 13, "enjoy": 13, "rush": [13, 25, 51], "hei": 13, "trilogi": 13, "coast": 13, "guard": 13, "phantom": 13, "creep": 13, "36400": 13, "dragon": 13, "eat": [13, 33], "went": [13, 22, 25, 38], "cheap": 13, "hilari": 13, "unintention": 13, "spoiler": [13, 38], "past": [13, 14, 15, 23, 31], "grow": [13, 20, 23, 25, 38, 46, 49, 51], "mess": [13, 28, 32, 54], "came": [13, 28, 31, 38], "outer": [13, 25, 51], "meteorit": 13, "egg": [13, 26, 52], "peasant": 13, "poke": 13, "pitchfork": 13, "pop": 13, "obligatori": 13, "babbl": 13, "outliv": 13, "dinosaur": 13, "appar": [13, 38], "blown": 13, "forc": [13, 21], "hiroshima": 13, "Then": [13, 14, 19, 23, 26, 31, 45, 49, 52, 60], "unscath": 13, "grew": 13, "guess": [13, 16, 17, 25, 41, 51, 52, 59], "mr": 13, "smarti": 13, "pant": 13, "secur": 13, "isn": [13, 15, 16, 21, 22, 23, 55], "smart": [13, 25, 26, 33, 51, 52], "ignor": [13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 29, 31, 32, 37, 39, 42, 43, 44, 45, 46, 47, 48, 49, 50, 55, 60], "knew": [13, 26, 52], "worst": [13, 21, 25, 26, 38, 47, 51, 52], "effect": [13, 16, 19, 20, 21, 22, 24, 25, 26, 28, 30, 35, 38, 39, 46, 48, 50, 51, 52, 54, 56], "fake": [13, 16, 38], "rock": 13, "fall": [13, 16, 29, 31, 55], "cg": 13, "helicopt": 13, "blob": [13, 30, 52, 56], "ruin": 13, "whatev": [13, 18, 25, 51], "trudg": 13, "hall": 13, "fly": 13, "cave": 13, "million": [13, 30, 56], "vital": 13, "stat": [13, 20, 32, 46, 52], "weren": [13, 55], "greatest": 13, "tri": [13, 23, 24, 28, 30, 49, 50, 51, 56], "bloodrayn": 13, "woman": [13, 28, 29, 38, 55], "meredith": 13, "tone": [13, 25, 41, 51], "lighter": [13, 20], "rest": [13, 19, 20, 32, 45, 46], "cheesi": 13, "bottom": [13, 27, 53], "hear": [13, 38], "5166": 13, "sorri": 13, "jacquelin": 13, "hyde": 13, "l": 13, "jekyl": 13, "hardcor": 13, "porn": 13, "undiagnos": 13, "disabl": [13, 29, 34, 38, 55], "jacki": 13, "inherit": 13, "mansion": 13, "inventor": 13, "formula": [13, 19, 22, 30, 45, 56, 59], "slowli": [13, 38], "bodi": [13, 38], "mind": [13, 15, 17, 18, 23, 24, 28, 38, 49, 50, 54], "despit": 13, "skin": [13, 25, 41, 51], "regist": [13, 57], "emot": [13, 38], "uncontrol": 13, "laughter": 13, "poor": [13, 18, 22, 25, 42, 44, 48, 50, 51, 56], "granddaddi": 13, "kc_house_data": [13, 14, 35], "id": [13, 14, 22, 24, 28, 35, 48, 50, 51, 54], "bedroom": [13, 14, 19, 35], "bathroom": [13, 14, 19, 35], "sqft_live": [13, 14, 35], "sqft_lot": [13, 14, 35], "floor": [13, 14, 35], "waterfront": [13, 14, 35], "sqft_abov": [13, 14, 35], "sqft_basement": [13, 14, 35], "yr_built": [13, 14, 35], "yr_renov": [13, 14, 35], "zipcod": [13, 14, 35], "lat": [13, 14, 35], "sqft_living15": [13, 14, 35], "sqft_lot15": [13, 14, 35], "509000": 13, "1930": 13, "3521": 13, "1989": 13, "98007": 13, "6092": 13, "122": [13, 14, 15, 17, 18, 25, 30, 35, 40, 41, 51], "146": [13, 36, 41], "1840": [13, 35], "3576": 13, "675000": 13, "2570": [13, 14], "12906": 13, "1987": [13, 14], "98075": 13, "5814": 13, "050": [13, 25, 30], "2580": 13, "12927": 13, "420000": 13, "1150": 13, "5120": 13, "800": [13, 15, 20, 29, 33, 37, 46, 55], "350": [13, 32, 40, 41], "1946": [13, 22, 48], "98116": 13, "5588": 13, "1220": [13, 17, 20, 46, 48], "680000": 13, "2530": 13, "4800": 13, "1390": 13, "1140": 13, "1901": 13, "98112": 13, "6241": 13, "305": [13, 41, 48], "1540": 13, "357823": 13, "1240": 13, "9196": 13, "1968": 13, "98072": 13, "7562": 13, "094": [13, 28, 54, 55], "1690": [13, 14], "10800": 13, "lgbmregressor": [13, 23, 49], "345831": 13, "740542": 13, "2130": 13, "8078": 13, "1380": 13, "750": [13, 28, 37, 54], "1977": 13, "98055": 13, "4482": 13, "209": [13, 14, 15, 16, 20, 41, 46], "2300": 13, "8112": 13, "601042": 13, "018745": 13, "2210": [13, 35], "7620": [13, 35], "1994": 13, "98052": 13, "6938": [13, 28, 31, 54], "1920": 13, "7440": 13, "311310": 13, "186024": 13, "1800": [13, 14, 33, 43, 46], "9576": 13, "98045": 13, "4664": 13, "747": 13, "1370": [13, 32, 43, 46], "597555": 13, "592401": 13, "1580": 13, "1321": 13, "1080": 13, "500": [13, 17, 21, 23, 24, 25, 28, 38, 39, 47, 49, 51, 54, 56], "2014": [13, 23, 31, 35, 49], "98107": 13, "6688": 13, "402": 13, "1530": 13, "1357": 13, "varieti": [13, 23, 26, 29, 33, 49, 55], "mi": [13, 20, 21, 40, 46, 47], "instanc": [13, 14, 15, 18, 19, 21, 26, 27, 28, 29, 30, 31, 38, 45, 47, 52, 53, 55, 56, 58], "incorrectli": [13, 21, 47], "wild": [13, 15, 30, 36, 56], "reliabl": [13, 26, 52], "confid": [13, 15, 24, 32, 34, 38, 45, 50], "step": [13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 30, 31, 37, 38, 39, 43, 44, 46, 48, 49, 50, 51, 52, 53, 56, 57, 58, 59, 60], "spell": [13, 33], "expert": [13, 14, 15, 20, 24, 25, 26, 46, 50, 51], "faster": [13, 20, 23, 25, 30, 45, 46, 49, 51, 56], "scalabl": [13, 27, 53], "prime": 13, "anonym": [13, 31], "qualtric": 13, "due": [13, 14, 15, 16, 19, 20, 21, 22, 23, 25, 28, 44, 45, 48, 49, 51, 54, 55, 56, 57], "19th": 13, "59pm": [13, 14, 15, 16, 28], "tldr": 13, "narrow": 13, "scope": [13, 28, 29, 31, 55], "carefulli": [13, 21, 22, 39], "seat": [13, 30, 57], "reserv": [13, 31, 34], "novelti": 13, "forget": [13, 14, 18, 23, 49], "capac": 13, "160": [13, 15, 19, 20, 22, 43, 46, 48], "th": [13, 19, 26, 28, 45, 52, 54], "12th": [13, 21, 23, 24, 39, 49, 50], "rel": [13, 19, 24, 25, 27, 29, 30, 37, 45, 50, 51, 53, 55, 56], "straightforward": [13, 24, 50], "hope": [13, 15, 26], "partner": [13, 32, 57], "subsequ": 13, "pend": 13, "weekli": [13, 25, 51], "attend": [13, 16, 57], "basi": [13, 14, 16, 59], "htmlpreview": 13, "ii": [13, 21, 47], "transfer": [13, 32, 34, 40, 57], "iii": 13, "benefici": [13, 18], "talk": [13, 14, 15, 17, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 38, 45, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56], "aspect": [13, 19, 24, 25, 27, 28, 32, 45, 50, 51, 53, 54], "forum": 13, "confusingli": 13, "markdown": 13, "9999": [13, 52], "static": 13, "launch": 13, "push": [13, 24, 50], "breakdown": 13, "chrome": 13, "firefox": 13, "spars": [13, 16, 19, 23, 24, 28, 37, 38, 39, 42, 44, 49, 50, 54], "matric": [13, 16, 21, 28, 29, 39, 52, 54, 55], "finish": [13, 22, 48], "paradigm": [13, 14, 26, 34, 52, 55], "particularli": [13, 23, 38, 49, 57], "transit": 13, "pandem": 13, "accommod": [13, 57], "empathet": 13, "revis": [14, 58, 59, 60], "dummi": [14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 30, 31, 32, 35, 38, 39, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 56, 58], "graphviz": [14, 49, 54, 56], "mglearn": [14, 15, 16, 17, 19, 20, 21, 26, 29, 30, 31, 38, 39, 43, 44, 45, 46, 47, 49, 52, 54, 55, 56, 59], "plotting_funct": [14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 26, 27, 28, 30, 35, 36, 37, 38, 39, 43, 44, 45, 46, 47, 49, 50, 52, 53, 54, 56], "decisiontreeregressor": [14, 22, 35, 42, 48, 58], "export_graphviz": 14, "otter": [14, 58, 59, 60], "tent": 14, "deliver": 14, "broadli": [14, 15, 16, 19, 21, 23, 26, 27, 29, 45, 47, 49, 52, 53, 55, 58], "ourselv": [14, 21, 30, 31, 47, 55, 56], "larger": [14, 15, 16, 17, 19, 20, 22, 23, 24, 26, 27, 29, 32, 43, 46, 49, 50, 52, 53, 55], "kaggl": [14, 17, 21, 22, 23, 24, 25, 30, 36, 39, 47, 48, 50, 51, 56, 60], "citi": [14, 15, 16, 31, 38, 55], "clutter": 14, "demonstr": [14, 15, 17, 19, 20, 22, 23, 26, 28, 29, 30, 36, 37, 38, 45, 46, 48, 49, 52, 54, 55, 56], "four": [14, 15, 25, 27, 38, 42, 51, 52, 53], "quizz": 14, "friend": [14, 15, 21, 28, 38, 42, 54, 57, 58], "nervou": 14, "previou": [14, 22, 23, 26, 27, 28, 31, 35, 49, 52, 53, 58], "classification_df": [14, 15], "shape": [14, 15, 16, 17, 18, 20, 21, 22, 24, 25, 26, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 46, 47, 48, 50, 51, 52, 54, 55, 56, 58], "ml_experi": [14, 15, 18, 42, 44], "class_attend": [14, 15, 42, 44], "lab1": [14, 15, 17, 18, 42, 44], "lab2": [14, 15, 18, 42, 44], "lab3": [14, 15, 18, 42, 44], "lab4": [14, 15, 18, 42, 44], "quiz1": [14, 15, 18, 42, 44], "93": [14, 15, 18, 19, 20, 26, 31, 42, 44, 46, 51, 52], "94": [14, 15, 17, 18, 19, 20, 21, 22, 31, 34, 40, 42, 43, 44, 47, 48], "89": [14, 15, 18, 21, 27, 31, 41, 42, 44, 47, 51, 53], "77": [14, 15, 18, 19, 21, 22, 27, 28, 31, 34, 40, 42, 44, 45, 47, 48, 53, 54], "row": [14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 28, 30, 31, 32, 34, 36, 37, 38, 39, 41, 43, 44, 46, 47, 48, 49, 50, 51, 53, 54, 55, 56, 57, 58, 59], "characterist": [14, 15, 19], "denot": [14, 28, 54], "map": [14, 15, 18, 20, 34, 38, 40, 41, 46, 59], "separ": [14, 15, 17, 18, 19, 21, 25, 26, 28, 29, 30, 31, 37, 39, 43, 45, 50, 51, 52, 54, 55, 56], "housing_df": [14, 17, 18, 25, 35, 43, 51], "1180": 14, "5650": 14, "1955": 14, "98178": 14, "5112": 14, "257": 14, "1340": 14, "7242": 14, "2170": 14, "400": [14, 17, 20, 29, 46, 55], "1951": [14, 35], "1991": [14, 23, 49], "98125": 14, "7210": 14, "7639": 14, "770": 14, "10000": [14, 18, 19, 20, 22, 31, 38, 46, 48], "1933": 14, "98028": 14, "7379": 14, "233": 14, "2720": 14, "8062": 14, "1960": 14, "1050": 14, "1965": 14, "98136": 14, "5208": 14, "393": [14, 18, 37, 51], "1360": 14, "1680": 14, "8080": 14, "98074": 14, "6168": 14, "045": 14, "7503": 14, "221900": 14, "538000": 14, "180000": 14, "604000": 14, "510000": [14, 16, 43, 46], "21613": [14, 35], "vari": [14, 20, 23, 27, 32, 46, 51, 53, 58], "predictor": [14, 23, 42, 49], "explanatori": 14, "regressor": [14, 17, 22, 31, 35, 43, 48, 58], "covari": [14, 32, 52], "categor": [14, 20, 21, 22, 23, 25, 26, 28, 29, 32, 40, 42, 44, 46, 48, 49, 51, 52, 54, 55], "concis": 14, "approxim": [14, 20, 25, 26, 28, 46, 51], "discret": [14, 25, 26, 37, 51, 58], "example1": 14, "patient": [14, 38, 59], "liver": 14, "diseas": [14, 21, 28, 32, 47], "example2": 14, "regression_df": 14, "82": [14, 18, 20, 21, 27, 31, 41, 46, 53, 55], "73": [14, 15, 18, 19, 20, 21, 22, 27, 31, 32, 34, 41, 45, 46, 47, 48, 51, 53], "68": [14, 15, 16, 18, 21, 22, 26, 27, 31, 32, 41, 48, 52, 53, 54], "74": [14, 15, 17, 18, 19, 20, 21, 22, 27, 34, 39, 43, 47, 48, 51, 53], "88": [14, 15, 17, 18, 19, 21, 43, 47, 51], "95": [14, 15, 18, 21, 27, 31, 32, 38, 40, 53], "97": [14, 15, 18, 19, 20, 24, 27, 31, 46, 50, 53], "99": [14, 15, 17, 18, 20, 21, 31, 46, 54], "98": [14, 17, 18, 19, 24, 26, 29, 31, 32, 50, 52, 55], "86": [14, 18, 19, 20, 21, 31, 34, 43, 46, 51], "96": [14, 18, 19, 20, 21, 25, 31, 46, 51], "67": [14, 15, 18, 19, 21, 22, 31, 32, 41, 48, 51], "65": [14, 18, 20, 22, 40, 41, 46, 48, 51, 54], "87": [14, 17, 18, 21, 31, 34, 47, 55], "sentiment": [14, 19, 25, 29, 51, 55], "fraud": [14, 21, 22, 26, 28, 31, 39, 47, 48, 52], "join": [14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 34, 37, 39, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59], "snbf": [14, 15, 16, 17, 18, 20, 21, 22, 23, 25, 26, 27, 28, 30, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 56], "properti": [14, 22, 24, 25, 33, 48, 50, 51], "estat": 14, "heart": [14, 25, 38, 51], "attack": 14, "demograph": 14, "diet": [14, 55], "clinic": 14, "articl": [14, 15, 17, 21, 26, 28, 30, 52, 54, 56], "card": [14, 21, 24, 32, 39, 47, 50, 51], "fraudul": [14, 21, 39, 47, 54], "transact": [14, 21, 31, 39, 47], "employe": 14, "influenc": [14, 15, 20, 24, 26, 28, 32, 38, 46, 50, 52, 54, 58], "room": [14, 19, 22, 25, 37, 45, 51, 57], "percentag": [14, 21, 28, 33, 54], "bicycl": [14, 31], "tomorrow": [14, 31], "thermostat": 14, "temperatur": 14, "rightarrow": [14, 16, 19, 21, 22, 23, 26, 27, 29, 45, 48, 49, 52, 53, 55], "unseen": [14, 25, 26, 30, 51, 56], "value_count": [14, 18, 21, 23, 24, 25, 31, 32, 35, 37, 39, 47, 49, 50, 51, 60], "frequent": [14, 17, 29, 32, 43, 55], "thumb": [14, 25, 28, 51, 54], "saniti": [14, 32], "dummy_clf": 14, "strategi": [14, 16, 17, 18, 21, 22, 24, 26, 31, 32, 37, 39, 43, 44, 48, 50, 52, 59], "most_frequ": [14, 16, 17, 21, 22, 24, 37, 48, 50], "carri": [14, 15, 16, 18, 20, 21, 22, 23, 26, 28, 29, 31, 33, 34, 35, 37, 44, 46, 48, 49, 52, 54, 55, 58, 59], "arrai": [14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 37, 38, 39, 40, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56], "u6": 14, "frac": [14, 19, 21, 22, 26, 29, 30, 33, 45, 47, 48, 52, 55, 56], "3f": [14, 15, 16, 17, 18, 21, 22, 25, 28, 29, 32, 38, 43, 47, 48, 51, 54, 55], "524": 14, "476": 14, "new_exampl": [14, 26, 52], "5238095238095238": 14, "median": [14, 17, 18, 19, 22, 24, 25, 31, 32, 37, 43, 45, 48, 50, 51, 58], "constant": [14, 21, 22, 23, 24, 31, 37, 39, 48, 49, 50], "reg": [14, 23, 49], "28571429": 14, "maximum": [14, 17, 22, 23, 26, 27, 37, 38, 43, 48, 49, 52, 53], "simplic": [14, 18, 28, 54], "binar": [14, 18], "Is": [14, 15, 17, 19, 22, 23, 26, 29, 35, 36, 38, 43, 45, 48, 49, 52, 55], "distinguish": [14, 18, 21, 47, 59], "combin": [14, 17, 18, 20, 21, 25, 28, 30, 31, 37, 46, 47, 51, 54, 56], "unwieldi": [14, 17, 43], "quickli": [14, 16, 17, 20, 27, 32, 43, 46, 53, 57], "game": [14, 55, 59], "x_binari": 14, "col": [14, 18, 19, 28, 31, 42, 44, 45, 54], "9047619047619048": 14, "custom_plot_tre": [14, 15, 23, 24, 49, 50], "width": [14, 15, 21, 29, 33, 34, 36, 55, 58, 59], "height": [14, 15, 21, 25, 29, 33, 36, 51, 55, 58], "figsiz": [14, 15, 16, 17, 19, 21, 24, 25, 26, 27, 30, 31, 32, 36, 37, 40, 41, 45, 50, 51, 52, 53, 56, 58, 59], "feature_nam": [14, 15, 19, 23, 24, 25, 29, 35, 38, 45, 49, 50, 51, 55, 58, 59], "class_nam": [14, 16, 23, 30, 36, 40, 41, 49, 56, 58], "impur": [14, 23, 35, 49], "fontsiz": [14, 15, 23, 24, 26, 49, 50, 52, 58], "commonli": [14, 17, 20, 21, 25, 26, 32, 43, 46, 47, 51, 52], "root": [14, 16, 28, 30, 36, 40, 41, 54, 56, 58], "node": [14, 23, 27, 30, 49, 53, 56, 58], "repres": [14, 15, 16, 17, 18, 19, 21, 24, 25, 26, 27, 28, 30, 31, 43, 44, 50, 51, 52, 53, 54, 56, 60], "branch": [14, 27, 32, 38, 53, 58], "within": [14, 16, 17, 19, 23, 25, 26, 27, 29, 32, 36, 43, 44, 49, 51, 52, 53, 55, 59, 60], "leaf": [14, 27, 55, 58], "edg": [14, 20, 46], "farthest": 14, "464": [14, 15], "userwarn": [14, 15, 18, 23, 24, 37, 49, 51], "inspir": [14, 21, 23, 49], "plot_fruit_tre": 14, "defin": [14, 16, 17, 18, 21, 23, 24, 26, 27, 28, 31, 33, 37, 43, 44, 47, 49, 50, 52, 54, 59, 60], "criteria": [14, 27, 53], "gini": [14, 24, 50], "cross": [14, 16, 18, 20, 22, 23, 24, 26, 32, 37, 42, 46, 48, 49, 50, 52, 59, 60], "entropi": 14, "threshold": [14, 19, 23, 25, 29, 34, 45, 47, 49, 51, 55, 58], "mse": [14, 28, 42, 49, 54], "reg_model": 14, "predicted_quiz2": 14, "989": 14, "333333": [14, 17, 20, 28, 36, 46, 54], "expand": [14, 57], "pure": [14, 31], "length": [14, 15, 19, 22, 24, 25, 26, 27, 29, 31, 32, 34, 35, 38, 45, 48, 50, 51, 52, 53, 55, 58, 59], "longest": 14, "stump": [14, 15, 16, 23, 35, 49], "tree_model": 14, "kwarg": [14, 15, 17, 18, 25, 28, 32, 34, 37, 48, 51], "inch": 14, "plot_tre": [14, 35, 58], "gca": [14, 26, 27, 32, 52], "new_text": 14, "sub": [14, 20, 26, 32, 38, 42, 46, 52], "get_text": 14, "set_text": 14, "knob": 14, "heurist": [14, 20, 46], "systemat": [14, 18, 20, 24, 29, 46, 50, 55, 58], "autom": [14, 22, 29, 55], "constructor": [14, 17], "min_samples_split": 14, "min_samples_leaf": 14, "max_leaf_nod": 14, "subset": [14, 15, 20, 23, 30, 31, 36, 40, 41, 46, 49, 56], "x_subset": [14, 15], "plot_tree_decision_boundary_and_tre": [14, 15], "x_label": [14, 15, 16], "y_label": [14, 15, 16], "geometr": 14, "region": [14, 21, 27, 31, 53], "horizont": [14, 18, 59], "vertic": [14, 21, 31, 37, 59], "complic": [14, 15, 20, 22, 25, 36, 37, 40, 46, 48, 51, 52], "border": [14, 19, 27, 29, 53, 55], "belong": [14, 19, 26, 27, 33, 52, 53, 59], "canada_usa_c": [14, 15, 16, 19, 45], "0437": [14, 15, 16], "9773": [14, 15, 16], "134": [14, 15, 19, 28, 32, 40, 41, 54], "4197": [14, 15, 19], "58": [14, 15, 16, 18, 19, 22, 31, 32, 40, 41, 48], "3019": [14, 15, 19], "0780": [14, 15], "9854": [14, 15, 19], "7436": [14, 15], "9881": [14, 15], "2691": [14, 15], "9951": [14, 15], "204": [14, 15, 16, 20, 34, 46, 49, 55], "72": [14, 15, 16, 21, 22, 31, 32, 40, 47, 48], "7218": [14, 15], "3990": [14, 15], "205": [14, 15, 16], "66": [14, 15, 17, 19, 21, 22, 30, 31, 48, 56], "6458": [14, 15], "9664": [14, 15], "206": [14, 15, 16, 20, 21, 46], "2506": [14, 15], "9931": [14, 15], "207": [14, 15, 16, 17, 20, 30, 46, 55], "9406": [14, 15, 28, 54], "6275": [14, 15, 21, 47], "208": [14, 15, 16, 19, 20, 41, 46], "4608": [14, 15], "3092": [14, 15], "discrete_scatt": [14, 15, 16, 19, 26, 27, 30, 45, 52, 53, 56, 59], "pretend": [14, 15, 31], "infer": [14, 28, 29, 31, 55], "ep": [14, 15, 16, 19, 41, 45], "symbol": 14, "feedback": 14, "while": [14, 15, 19, 20, 21, 23, 24, 25, 26, 29, 32, 34, 38, 46, 47, 49, 50, 51, 52, 55, 60], "myself": [14, 55], "framework": [14, 20, 46], "jargon": 14, "workflow": [14, 57], "sequenti": [14, 23, 31, 49, 51], "hierarchi": [14, 27, 53], "hous": [15, 22, 24, 25, 35, 43, 45, 48, 50, 51], "classifi": [15, 16, 17, 20, 21, 24, 30, 36, 39, 40, 41, 43, 46, 47, 50, 54, 56], "decisiontreeclassifi": [15, 17, 18, 19, 20, 24, 43, 44, 45, 46, 50, 58, 59], "inlin": [15, 16, 17, 19, 20, 21, 22, 23, 24, 27, 28, 35, 37, 38, 39, 43, 45, 46, 47, 48, 49, 50, 53, 54, 59, 60], "waitlist": [15, 57], "withdraw": 15, "stand": [15, 16, 20, 46, 50], "boundari": [15, 27, 29, 43, 46, 53, 55, 58, 59], "max_depth": [15, 20, 23, 24, 35, 46, 49, 50, 58, 59], "gap": [15, 31, 35], "recip": 15, "tune": [15, 20, 23, 27, 28, 30, 49, 51, 53, 54, 56], "spam": [15, 21, 26, 33, 44, 47, 52], "incom": [15, 19, 21, 23, 24, 34, 39, 45, 49, 50, 58], "inbox": 15, "ultim": 15, "haven": [15, 32, 37, 55], "tackl": [15, 17, 21, 27, 30, 43, 56, 58], "examin": [15, 16, 17, 19, 21, 23, 24, 25, 26, 27, 29, 30, 31, 35, 36, 39, 41, 49, 50, 51, 52, 53, 55, 56, 60], "quiz2": [15, 18, 42, 44], "286": [15, 31, 43, 46], "190": [15, 22, 32, 41, 48, 51], "048": [15, 18], "sensit": [15, 17, 20, 21, 22, 26, 28, 32, 38, 43, 52, 54, 59], "deploi": [15, 21, 28, 35, 54], "neighbour": [15, 24, 26, 27, 29, 36, 50, 52, 53, 55, 59, 60], "proceed": 15, "beyond": [15, 20, 25, 38, 46, 51], "target": [15, 16, 17, 19, 20, 21, 23, 24, 25, 28, 30, 31, 32, 37, 38, 39, 42, 43, 44, 45, 46, 49, 50, 51, 54, 56, 59, 60], "leaner": 15, "error_": 15, "randomli": [15, 19, 20, 21, 23, 46, 47, 49], "kept": 15, "stabl": [15, 21, 23, 49], "ifram": [15, 21, 33], "src": [15, 21, 33], "431": 15, "shuffl": [15, 30, 31, 36, 40, 41, 56], "imaginari": 15, "chest": 15, "lock": 15, "longitud": [15, 16, 17, 18, 19, 25, 28, 43, 45, 51], "latitud": [15, 16, 17, 18, 19, 25, 28, 43, 45, 51], "shape_dict": 15, "shape_df": 15, "167": [15, 28, 34], "eda": [15, 29, 55], "76": [15, 17, 19, 20, 21, 22, 25, 30, 34, 41, 47, 48], "4813": [15, 19], "44": [15, 16, 17, 19, 21, 22, 25, 28, 29, 31, 41, 47, 48, 54, 55], "2307": [15, 19], "127": [15, 17, 18, 19, 20, 34, 40, 41, 46, 51], "2496": [15, 19], "9837": [15, 19], "169": [15, 19, 25, 28, 34, 51], "0580": [15, 19], "2788": [15, 19], "2533": [15, 19], "3057": [15, 19], "9245": [15, 19], "1652": [15, 19], "762": [15, 34], "fig": [15, 16, 19, 21, 25, 26, 27, 30, 36, 39, 45, 52, 53, 55, 58, 59], "ax": [15, 16, 19, 21, 26, 27, 32, 36, 39, 45, 51, 52, 58, 59], "subplot": [15, 16, 19, 21, 26, 32, 36, 45, 52, 59], "subplot_kw": [15, 36], "xtick": [15, 21, 31, 36], "ytick": [15, 21, 36], "plot_tree_decision_boundari": 15, "neither": [15, 18, 28, 44, 54], "vault": 15, "readi": [15, 16, 17, 19, 34, 43], "concensu": 15, "terminolog": [15, 21], "proxi": 15, "e_": 15, "unlucki": 15, "fold": [15, 17, 18, 20, 21, 22, 23, 28, 43, 44, 45, 46, 49, 54, 59], "cv_score": [15, 22, 36, 48], "cv": [15, 18, 21, 22, 23, 24, 25, 28, 31, 35, 36, 44, 48, 49, 50, 51, 54], "76470588": 15, "82352941": 15, "70588235": 15, "94117647": 15, "9375": 15, "2f": [15, 20, 28, 29, 31, 34, 38, 44, 46, 54, 55, 58], "hood": [15, 28, 37, 52, 54], "return_train_scor": [15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 31, 32, 35, 36, 37, 38, 43, 44, 46, 47, 48, 49, 50, 51], "fit_tim": [15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 28, 31, 32, 36, 37, 38, 43, 44, 46, 47, 48, 49, 50, 51, 54], "score_tim": [15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 31, 32, 36, 37, 38, 43, 44, 46, 47, 48, 49, 50, 51], "test_scor": [15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 31, 32, 35, 36, 37, 38, 43, 44, 46, 47, 48, 49, 50, 51, 59, 60], "train_scor": [15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 31, 32, 35, 36, 37, 38, 43, 44, 46, 47, 48, 49, 50, 51, 59], "001154": [], "000722": [], "764706": [15, 16, 20, 46, 47], "913333": [15, 36], "000965": 31, "000667": 15, "823529": [15, 16, 19], "906667": [15, 36], "000910": [], "000682": [15, 34], "705882": [15, 20, 46], "000921": [], "000671": [], "941176": [15, 18, 44], "900000": [15, 31], "000930": [], "000664": [], "000953": [15, 31], "000657": [], "000929": 15, "000643": [], "920000": [15, 36], "000672": [], "937500": [15, 18, 44], "900662": 15, "000922": [], "000712": [], "000876": [], "000668": [], "000947": 15, "000676": [], "840074": 15, "906865": 15, "stratifiedkfold": [15, 21], "plot_cross_valid": [15, 31], "001435": [], "000789": 16, "875000": 15, "000973": [], "000652": 15, "992857": 15, "000901": 15, "000615": [], "000919": [], "000650": [], "687500": [15, 44], "000960": 15, "812500": 15, "000627": [], "000648": [], "866667": [15, 21, 47], "985816": 15, "000985": [], "600000": [15, 31], "992908": 15, "000936": [], "000646": [15, 35], "666667": [15, 17, 28, 54], "000915": 15, "mean_std_cross_val_scor": [15, 17, 18, 23, 24, 25, 32, 49, 50, 51], "mean_scor": [15, 17, 18, 20, 25, 32, 46, 51], "std_score": [15, 17, 18, 25, 32, 51], "out_col": [15, 17, 18, 25, 32, 51], "775": [], "014": [15, 17, 49], "diagnos": [15, 24, 50], "textrm": 15, "212": [15, 20, 40, 46], "dummyclassifi": [15, 16, 17, 18, 19, 20, 21, 22, 24, 25, 30, 36, 37, 38, 39, 42, 43, 44, 45, 46, 47, 48, 50, 51, 56, 58, 59], "quirk": 15, "lower": [15, 16, 21, 22, 24, 26, 28, 29, 32, 34, 43, 47, 48, 50, 52, 55, 58, 59], "lesssim": 15, "213": [20, 30, 31, 46], "unreli": 15, "fairli": [15, 20, 21, 24, 39, 46, 50], "necessarili": [15, 22, 23, 28, 49, 54], "decreas": [15, 19, 20, 23, 24, 26, 35, 45, 46, 49, 50, 52], "results_dict": [15, 16, 17, 18, 20, 36, 46, 59], "mean_train_error": 15, "mean_cv_error": 15, "std_cv_error": 15, "std_train_error": 15, "param_grid": [15, 16, 20, 22, 46, 48, 59], "results_df": [15, 16, 19, 35, 36, 38, 59], "set_index": [15, 16, 20, 21, 22, 36, 46, 47, 48, 59], "ground": [15, 25, 27, 28, 51, 53, 54, 57], "realiti": [15, 22, 32], "tend": [15, 16, 19, 23, 25, 28, 31, 32, 43, 45, 49, 51, 54, 57], "tendenc": 15, "irrespect": [15, 19], "pedro": [15, 25, 51], "domingo": [15, 25, 51], "subtleti": [15, 22], "cross_validate_std": 15, "res_mean": 15, "std_test_scor": [15, 20, 46], "std_train_scor": [15, 16, 20, 36, 46, 59], "171657": 15, "211250": 15, "048378": 15, "006805": 15, "160258": 15, "223750": [], "062723": [], "007316": [15, 20], "142467": 15, "204583": 15, "053763": 15, "022848": 15, "092604": 15, "204167": 15, "070907": 15, "006531": 15, "083338": 15, "191250": 15, "067120": 15, "010650": 15, "066960": [], "197500": [], "074773": [], "012065": [], "044873": 15, "217083": [], "085543": [], "009059": 15, "030618": [], "216250": 15, "096833": [], "010547": [], "020653": 15, "197083": [], "093950": [], "010294": 15, "010679": [], "222500": [], "092669": [], "007938": [], "005699": 15, "229167": [], "093782": [], "004264": 15, "003561": 15, "229583": 15, "089354": [], "004769": 15, "084870": 15, "235833": 15, "088373": [], "best_depth": [15, 35], "argmin": [15, 16, 21, 26, 47, 52], "191": [15, 17, 40, 41, 49], "performac": 15, "phase": 15, "mislead": [15, 21, 44, 47], "lack": [15, 28, 54], "attempt": [15, 36], "flaw": [15, 17], "baidu": 15, "admit": [15, 28, 54], "month": [15, 18, 22, 32, 44], "chosen": [15, 20, 21, 60], "class_demo": 15, "02_class": 15, "hyperparamt": [15, 20, 32, 46], "imput": [15, 18, 19, 20, 21, 22, 23, 24, 25, 26, 31, 32, 37, 38, 39, 42, 44, 45, 46, 48, 49, 50, 51, 52], "scale": [15, 16, 18, 20, 21, 22, 23, 25, 27, 30, 32, 42, 46, 48, 49, 51, 53, 56, 60], "trigger": 16, "aristotl": 16, "ipywidget": [16, 19, 45, 58, 59], "widget": [16, 19, 21, 26, 27, 45, 53, 58], "cross_valid": [16, 17, 18, 19, 20, 21, 23, 24, 25, 28, 31, 32, 34, 35, 36, 37, 38, 39, 42, 43, 44, 45, 46, 47, 49, 50, 51, 54, 59, 60], "filterwarn": 16, "yesterdai": [16, 31], "octob": [16, 21, 22, 31, 48], "enrol": 16, "registr": 16, "mandatori": 16, "session": [16, 57, 58], "notion": [16, 20, 26, 28, 29, 46, 52, 54, 55, 58], "tradeoff": [16, 17, 19, 22, 25, 26, 30, 43, 45, 48, 51, 52, 56], "golden": [16, 37, 38, 42], "herta": 16, "tech": [16, 21], "facial": [16, 41], "circl": [16, 21, 47], "triangl": [16, 26], "green": [16, 20, 26, 46, 52], "make_forg": 16, "66214339": 16, "plot_train_test_point": 16, "closest": [16, 17, 21, 27, 29, 31, 53, 55, 59], "vote": [16, 17, 23, 30, 38, 49, 56, 59], "plot_knn_clf": 16, "intslid": [16, 58, 59], "cities_df": [16, 19, 45], "x_citi": 16, "y_citi": 16, "spotifi": [16, 28, 43, 54], "song": [16, 17, 25, 28, 51, 54, 60], "spotify_df": [16, 17, 20, 43, 46, 60], "x_spotifi": [16, 20, 46, 60], "song_titl": [16, 17, 20, 43, 46, 60], "artist": [16, 17, 20, 43, 46, 60], "approx": [16, 24, 50], "compos": [16, 18, 20, 21, 22, 23, 24, 25, 28, 30, 31, 32, 36, 37, 39, 40, 41, 42, 44, 46, 48, 49, 50, 51, 56], "to_numpi": [16, 28, 29, 31, 54, 55], "02000e": 16, "33000e": 16, "04600e": 16, "34000e": 16, "19000e": 16, "00000e": 16, "65000e": 16, "79500e": 16, "31000e": 16, "50062e": 16, "86000e": 16, "two_citi": 16, "120": [16, 17, 19, 22, 23, 30, 31, 37, 40, 48, 56, 59], "104": [16, 17, 26, 28, 49, 52], "8253": 16, "8340": 16, "112": [16, 28], "0741": 16, "4484": 16, "black": [16, 24, 26, 30, 50, 52, 56], "alpha": [16, 17, 51, 59], "marker": [16, 19, 26, 30, 45, 52, 56], "o": [16, 19, 21, 26, 28, 45, 52, 55], "u": [16, 18, 19, 26, 29, 44, 55], "u_1": 16, "u_2": 16, "dot": [16, 19, 21, 23, 24, 25, 27, 45, 47, 49, 50, 51, 53], "u_n": 16, "v_1": 16, "v_2": 16, "v_n": 16, "sqrt": [16, 22, 24, 28, 29, 48, 50, 54, 55, 59], "sum_": [16, 22, 26, 29, 48, 52, 55], "u_i": 16, "v_i": 16, "subtract": [16, 21, 24, 50], "4f": [16, 18, 21, 29, 38, 47, 55], "2488": 16, "3856": 16, "5498": 16, "0305": 16, "pairwis": [16, 27, 29, 41, 53, 55], "euclidean_dist": [16, 17, 26, 27, 29, 41, 43, 53, 55], "03049217": 16, "dist": [16, 26, 27, 36, 41, 52, 53], "fill_diagon": [16, 41], "inf": [16, 41], "201": [16, 34, 40], "202": [16, 30], "203": 16, "955113": 16, "869531": 16, "106452": 16, "449666": 16, "381676": 16, "366626": 16, "283857": 16, "572105": 16, "180388": 16, "834455": 16, "807684": 16, "925593": 16, "951696": 16, "384127": 16, "289799": 16, "183423": 16, "426410": 16, "033459": 16, "498562": 16, "677579": 16, "935802": 16, "305346": 16, "308448": 16, "200978": 16, "082949": 16, "359992": 16, "957919": 16, "668787": 16, "533498": 16, "656349": 16, "61": [16, 18, 19, 21, 22, 26, 31, 40, 44, 48, 51, 52], "691640": 16, "045304": 16, "032656": 16, "887343": 16, "253724": 16, "771969": 16, "252160": 16, "334411": 16, "808958": 16, "115406": 16, "528403": 16, "525757": 16, "873103": 16, "479109": 16, "277381": 16, "076798": 16, "783789": 16, "169693": 16, "934205": 16, "483751": 16, "512897": 16, "235152": 16, "249720": 16, "699224": 16, "474552": 16, "781004": 16, "194002": 16, "191396": 16, "538702": 16, "144750": 16, "275352": 16, "743133": 16, "480249": 16, "836189": 16, "599860": 16, "150395": 16, "179123": 16, "904226": 16, "916254": 16, "365623": 16, "306500": 16, "719500": 16, "716985": 16, "064200": 16, "670344": 16, "675814": 16, "269880": 16, "051472": 16, "363192": 16, "125476": 16, "677629": 16, "705696": 16, "435186": 16, "443317": 16, "892477": 16, "405415": 16, "043890": 16, "057003": 16, "746328": 16, "127878": 16, "333340": 16, "873356": 16, "41": [16, 17, 21, 22, 25, 26, 28, 31, 34, 40, 41, 48, 51, 52], "380643": 16, "345136": 16, "373031": 16, "102435": [16, 22, 48], "957987": 16, "316363": 16, "800190": 16, "418031": 16, "031385": 16, "032874": 16, "709185": 16, "088948": 16, "358333": 16, "442806": 16, "259286": 16, "369875": 16, "108681": 16, "950733": 16, "303916": 16, "819584": 16, "258427": 16, "059863": 16, "187663": 16, "932124": 16, "380495": 16, "100248": 16, "767852": 16, "637982": 16, "930561": 16, "731583": 16, "837848": 16, "322755": 16, "167214": 16, "799983": 16, "810368": 16, "497386": 16, "878183": 16, "098326": 16, "930123": 16, "121628": 16, "082749": 16, "286821": 16, "555740": 16, "612755": 16, "244592": 16, "256813": 16, "946783": 16, "328953": 16, "546610": 16, "378764": 16, "596810": 16, "473691": 16, "568009": 16, "nwith": 16, "95511263": 16, "10645223": 16, "44966612": 16, "9912": [16, 19], "9383": [16, 19], "diagon": [16, 21, 24, 47, 50, 52], "infin": [16, 17], "query_point": 16, "85545875": 16, "80062924": 16, "30530902": 16, "01473536": 16, "60495488": 16, "96834506": 16, "92852376": 16, "53520104": 16, "52881619": 16, "84679073": 16, "7982": 16, "small_citi": 16, "one_c": 16, "small_train_df": 16, "drop_dupl": [16, 20, 46], "x_small_citi": 16, "y_small_citi": 16, "test_point": [16, 30, 56], "test_format": 16, "neighbor": [16, 17, 18, 19, 21, 27, 36, 37, 43, 44, 45, 51, 53, 59], "k_valu": 16, "neigh": [16, 36], "knn1": 16, "001711": 16, "003738": 16, "710526": 16, "001018": 16, "002070": 16, "684211": 16, "001090": 16, "002000": 16, "842105": 16, "000889": [16, 44], "001829": 16, "702703": 16, "000913": 16, "001886": 16, "837838": 16, "knn100": 16, "000939": [15, 16, 56], "004768": 16, "001145": 16, "000851": 16, "000830": 16, "000809": [16, 20], "000791": 16, "000787": 16, "001009": [15, 16], "000843": 16, "n_neighbour": 16, "mean_train_scor": [16, 19, 20, 22, 36, 38, 46, 48, 59], "mean_valid_scor": 16, "plot_knn_decision_boundari": 16, "mean_cv_scor": [16, 19, 20, 36, 38, 46, 59], "std_cv_score": [16, 36, 59], "755477": 16, "069530": 16, "831135": 16, "792603": 16, "046020": 16, "013433": 16, "819152": 16, "802987": 16, "041129": 16, "011336": 16, "801863": 16, "782219": 16, "074141": 16, "008735": 16, "777934": 16, "766430": 16, "062792": 16, "016944": 16, "755364": 16, "723613": 16, "061937": 16, "025910": 16, "743391": 16, "707681": 16, "057646": 16, "030408": 16, "728777": 16, "064452": 16, "021305": 16, "706128": 16, "681223": 16, "061241": 16, "018310": 16, "694155": 16, "660171": 16, "093390": 16, "018178": 16, "best_n_neighbour": 16, "idxmax": 16, "905": [16, 17], "lucki": [16, 20, 46], "weight": [16, 23, 25, 28, 29, 30, 36, 39, 40, 41, 45, 47, 49, 51, 52, 54, 55, 56, 57], "closer": [16, 17, 19], "plot_knn_regress": 16, "lazi": 16, "slow": [16, 23, 25, 30, 49, 51, 56], "modern": [16, 29, 38, 55], "stuff": [16, 32, 36, 40, 41], "classic": [16, 30, 38, 56], "paramter": 16, "statistician": 16, "mathcal": [16, 26, 52], "notat": 16, "storag": 16, "apart": [16, 27, 53], "irrelev": [16, 25, 29, 34, 51, 55], "hopelessli": 16, "accident": [16, 17], "swamp": 16, "make_classif": [16, 21, 44], "nfeats_accuraci": 16, "nfeat": 16, "dummy_valid_accuraci": 16, "knn_valid_accuraci": 16, "n_feat": 16, "2000": [16, 20, 21, 22, 23, 24, 25, 30, 33, 34, 38, 46, 48, 49, 50, 51, 56], "n_sampl": [16, 21, 26, 27, 30, 44, 47, 52, 53, 56], "n_featur": [16, 21, 26, 52], "n_class": [16, 21, 47], "dummy_scor": 16, "501875": 16, "946875": 16, "769375": 16, "505000": 16, "653125": 16, "304": [16, 41], "633125": 16, "404": [16, 25, 51], "501250": 16, "682500": 16, "504": [16, 25, 51], "505625": 16, "620625": 16, "604": 16, "502500": 16, "662500": 16, "704": [16, 17, 22, 48], "636875": 16, "804": [16, 25, 32, 51], "506250": 16, "579375": 16, "904": [16, 20, 43, 46], "513750": 16, "590625": 16, "1004": 16, "503125": 16, "616875": 16, "1104": 16, "617500": 16, "1204": 16, "623125": 16, "1304": [16, 32], "635000": 16, "504375": 16, "601875": 16, "1504": 16, "588125": 16, "1604": 16, "625625": 16, "1704": 16, "572500": 16, "1804": 16, "508750": 16, "556250": 16, "1904": 16, "radial": [16, 59], "superfici": 16, "rememb": [16, 18, 20, 21, 24, 25, 27, 30, 31, 38, 46, 50, 51, 53, 56, 58, 60], "803": [16, 17, 25, 51], "001220": 16, "002158": 16, "794118": 16, "819549": 16, "001207": 16, "002132": 16, "001132": 16, "002036": 16, "727273": 16, "850746": 16, "003419": 16, "002297": 16, "828358": 16, "001899": 16, "001910": 16, "939394": [16, 19], "783582": 16, "svc": [16, 17, 18, 19, 20, 23, 24, 25, 30, 36, 37, 39, 42, 43, 44, 45, 49, 50, 51, 56, 59, 60], "820": 16, "005337": 16, "002172": 16, "001399": 16, "000810": 16, "001210": 16, "000763": 16, "858209": [16, 19], "001253": 16, "843284": [16, 19], "001185": 16, "000767": 16, "805970": [16, 19], "zip": [16, 19, 28, 36, 45, 54], "plot_2d_separ": [16, 19, 45, 59], "set_titl": [16, 19, 21, 36, 45, 52, 59], "set_xlabel": [16, 19, 26, 45, 52, 59], "set_ylabel": [16, 19, 26, 45, 52, 59], "make_blob": [16, 26, 27, 30, 44, 52, 53, 56], "x_toi": [16, 17, 18, 31, 43], "y_toi": [16, 31, 54], "center": [16, 27, 30, 40, 44, 53, 56], "300": [16, 27, 29, 30, 34, 53, 55, 56], "support_": [16, 25, 51], "int32": [16, 26, 27, 31, 52, 53], "plot_support_vector": 16, "bigger": [16, 18, 19, 22, 24, 27, 29, 30, 31, 40, 41, 45, 48, 50, 53, 55, 56], "paramet": [16, 17, 18, 22, 23, 25, 26, 27, 29, 30, 31, 32, 34, 37, 45, 47, 49, 51, 52, 53, 55, 56, 58, 59], "smaller": [16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 31, 35, 43, 45, 48, 50, 51, 52, 53], "plot_svc_gamma": 16, "100000": [16, 18, 19, 20, 22, 31, 44, 46, 48], "plot_svc_c": 16, "till": [16, 32], "gridsearchcv": [16, 23, 24, 49, 50], "randomizedsearchcv": [16, 23, 24, 49, 50], "svr": [16, 18, 24, 50, 59], "detail": [16, 18, 23, 26, 28, 29, 30, 37, 40, 41, 47, 55, 56, 57], "poorli": [16, 22, 27, 31, 43, 53], "remov": [16, 17, 21, 23, 24, 25, 30, 32, 36, 39, 40, 41, 43, 49, 50, 51, 56], "toolbox": [16, 23, 29, 49], "nearbi": [16, 26, 52], "linger": 16, "categori": [16, 17, 21, 22, 23, 24, 25, 26, 30, 33, 36, 37, 39, 42, 43, 44, 45, 48, 49, 50, 51, 52, 56], "leftov": [17, 43], "simpleimput": [17, 18, 19, 20, 21, 22, 23, 24, 25, 31, 32, 39, 42, 43, 44, 45, 46, 48, 49, 50, 51], "cross_val_scor": [17, 18, 19, 20, 21, 22, 23, 24, 25, 31, 32, 37, 38, 39, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 59, 60], "kneighborsclassifi": [17, 18, 19, 25, 37, 43, 44, 45, 51, 59], "kneighborsregressor": [17, 18, 19, 43, 45, 59], "minmaxscal": [17, 37, 43], "onehotencod": [17, 19, 20, 21, 22, 23, 24, 25, 31, 32, 37, 39, 42, 43, 44, 45, 46, 48, 49, 50, 51, 60], "ordinalencod": [17, 18, 21, 22, 23, 24, 25, 31, 32, 39, 42, 43, 44, 48, 49, 50, 51], "tab": [17, 43], "anywher": [17, 18, 43], "preliminari": [17, 25, 43, 51], "queri": [17, 21, 23, 26, 29, 31, 32, 34, 36, 39, 49, 55, 57], "508": [17, 22, 32, 48], "000424": 17, "000700": 17, "507740": 17, "507752": [17, 20, 46], "000443": 17, "000264": 17, "000326": 17, "000240": 17, "000314": 17, "506211": [17, 20, 46], "508133": [17, 20, 46], "000400": 17, "000320": 17, "509317": [17, 20, 46], "507359": [17, 20, 46], "546": 17, "004876": 17, "009345": 17, "563467": 17, "717829": 17, "001628": 17, "007260": 17, "535604": 17, "721705": 17, "001522": 17, "007215": 17, "529412": 17, "708527": 17, "001367": 17, "007131": 17, "537267": 17, "721921": 17, "001373": 17, "006987": 17, "562112": 17, "711077": 17, "two_song": [17, 43], "acoust": [17, 20, 43, 46, 60], "danceabl": [17, 20, 43, 46, 60], "duration_m": [17, 20, 43, 46], "energi": [17, 20, 31, 43, 46, 60], "instrument": [17, 20, 43, 46, 60], "loud": [17, 20, 37, 43, 46, 60], "speechi": [17, 20, 43, 46, 60], "tempo": [17, 20, 43, 46, 60], "time_signatur": [17, 20, 43, 46, 60], "valenc": [17, 20, 25, 43, 46, 51, 60], "842": [17, 37, 38], "229000": 17, "494": [17, 43, 46], "147893": 17, "666": [17, 48], "000057": 17, "0469": 17, "743": [17, 25, 43, 46, 51], "0351": 17, "140": [17, 18, 28, 32, 36, 37, 41, 54], "832": [17, 38], "654": 17, "000289": 17, "771": 17, "227143": 17, "949": 17, "602000": 17, "5950": 17, "712": 17, "1750": 17, "111": [17, 20, 21, 22, 32, 39, 46, 47, 48], "959": [17, 37], "372": [17, 51], "79250": 17, "00543825": 17, "two_songs_subset": 17, "00525962": 17, "domin": [17, 22, 30, 34, 43, 56], "matter": [17, 18, 21, 23, 27, 42, 43, 47, 49, 53], "scaler": [17, 24, 25, 37, 43, 44, 50, 51], "trasform": [17, 43], "x_train_scal": [17, 25, 43, 44, 51], "x_test_scal": [17, 43, 44], "1505": 17, "004770": 17, "585": 17, "214740": 17, "614": 17, "000155": [17, 21, 47], "0762": 17, "594": 17, "0370": 17, "114": [17, 41], "2730": 17, "813": [17, 18], "114000": [17, 25, 51], "665": [17, 48], "216728": 17, "513": [17, 32], "303000": 17, "314": [17, 40, 41], "3310": 17, "344": [17, 28, 41, 54], "0373": 17, "615": 17, "030200": 17, "798": [17, 43, 48], "216585": 17, "481": 17, "1280": [17, 20, 22, 46, 48], "488": 17, "3140": 17, "136": [17, 28, 32, 34, 40, 41, 54], "6400": 17, "106000": 17, "194040": 17, "317": [17, 24, 40, 41], "000208": 17, "0723": 17, "0378": 17, "346": [17, 18, 32, 41, 43], "9490": 17, "021100": 17, "697": [17, 25], "236456": 17, "893000": 17, "1190": [17, 35], "787": [17, 48], "0339": 17, "119": [17, 18, 19, 25, 31, 43, 51, 59], "977": [17, 31], "3110": 17, "001060": 17, "584": 17, "274404": 17, "932": [17, 48], "002690": 17, "1290": 17, "501": [17, 25, 51], "3330": 17, "976": [17, 23, 49], "2110": 17, "1346": [17, 22, 24, 25, 34, 48, 51], "000021": 17, "535": [17, 25, 51], "203500": 17, "974": 17, "000149": [17, 36], "2630": 17, "566": 17, "1720": 17, "116": [17, 34, 40, 41, 59], "956": 17, "4310": [17, 43, 46], "503000": 17, "410": 17, "256333": 17, "648": [17, 23, 43, 46], "2190": [17, 28, 54], "469": [17, 21, 28, 54], "0362": 17, "391": [17, 23, 33], "3420": 17, "1389": [17, 22, 24, 48], "705000": 17, "894": [17, 49], "222307": 17, "161": 17, "003300": 17, "3120": [17, 28, 54], "311": [17, 21, 40, 41, 48], "0880": 17, "968": 17, "8180": 17, "1534": 17, "623000": 17, "470": [17, 25, 33, 51], "394920": 17, "156": [17, 20, 28, 39, 40, 46, 47, 54], "187000": 17, "1040": 17, "036": [17, 23, 30, 49], "0399": 17, "118": [17, 18, 19, 23, 25, 40, 50, 51, 59], "176": [17, 33, 34, 40], "0591": 17, "1613": 17, "3180174485124284": 17, "698": 17, "195": 17, "399": [17, 35], "318": 17, "492": [17, 21, 32], "276": 17, "738": [17, 22, 48], "396": [17, 32], "281": [17, 28, 54], "618": 17, "139": [17, 25, 28, 41, 51, 54], "296": [17, 34], "374": [17, 23], "796": [17, 48, 49], "598": 17, "487": 17, "439": 17, "052": 17, "781": [17, 28, 50, 54], "728": 17, "600": [17, 19, 29, 55], "376": [17, 22, 37, 48], "947": [17, 20, 25, 51], "493": [17, 32], "447": [17, 24, 51], "879": 17, "307": [17, 34, 40, 41, 48], "809": [17, 32], "722": 17, "170": [17, 27, 49, 53], "763": [17, 34], "461": [17, 20], "609": [17, 51], "840": 17, "825": 17, "635": 17, "057": 17, "723": 17, "458": [17, 51], "653": 17, "074": [17, 51], "754": 17, "x_train_predict": [17, 43], "x_test_predict": [17, 43], "x_train_transform": [17, 34, 43], "x_test_transform": [17, 43], "fit_transform": [17, 18, 21, 23, 24, 25, 28, 29, 31, 33, 37, 38, 39, 42, 43, 44, 49, 50, 51, 54, 55], "knn_unscal": [17, 43], "726": [17, 21, 25, 43], "552": [17, 22, 43, 48], "knn_scale": [17, 43], "686": [17, 43], "unscal": 17, "sloppi": [17, 28, 54], "sever": [17, 19, 26, 27, 29, 30, 31, 52, 53, 55, 56, 57], "california": [17, 25, 45, 51], "violat": [17, 18, 57], "californian": 17, "district": [17, 19], "housing_median_ag": [17, 18, 25, 43, 51], "total_room": [17, 18, 25, 43, 51], "total_bedroom": [17, 18, 25, 43, 51], "popul": [17, 18, 19, 25, 43, 51], "household": [17, 18, 19, 25, 43, 51], "median_incom": [17, 18, 25, 43, 51], "median_house_valu": [17, 18, 25, 43, 51], "ocean_proxim": [17, 18, 25, 43, 51], "6051": [17, 18, 43], "117": [17, 18, 19, 25, 41, 43, 59], "2948": [17, 18, 43], "2600": [17, 18, 28, 43], "602": [17, 18, 43], "113600": [17, 18, 43], "inland": [17, 18, 25, 43, 51], "20113": [17, 18, 43], "4861": [17, 18, 43], "137500": [17, 18, 43], "14289": [17, 18, 43], "3355": [17, 18, 43], "768": [17, 18, 34, 43, 50], "1457": [17, 18, 43], "708": [17, 18, 20, 43], "6604": [17, 18, 43], "170100": [17, 18, 43], "NEAR": [17, 18, 25, 43, 51], "ocean": [17, 18, 25, 43, 51], "13665": [17, 18, 43], "1634": [17, 18, 20, 34, 43, 46], "274": [17, 18, 31, 41, 43], "285": [17, 18, 31, 41, 43], "2139": [17, 18, 43], "129300": [17, 18, 43], "14471": [17, 18, 43], "5566": [17, 18, 43], "1465": [17, 18, 43], "6303": [17, 18, 43], "1458": [17, 18, 43], "8580": [17, 18, 43], "205000": [17, 18, 22, 43, 50], "rooms_per_household": [17, 18, 25, 43, 51], "bedrooms_per_household": [17, 18, 43], "population_per_household": [17, 18, 43], "897010": [17, 18], "056478": [17, 18], "318937": [17, 18], "300000": [17, 18, 31], "500000": [17, 18, 21, 22, 25, 27, 31, 35, 44, 47, 48, 53], "550000": [17, 18], "738701": [17, 18], "084746": [17, 18], "057910": [17, 18], "961404": [17, 18], "154386": [17, 18], "817558": [17, 18], "004801": [17, 18], "323045": [17, 18], "global": [17, 21, 23, 26, 33, 49], "safe": 17, "18576": [17, 18, 43], "19966": [17, 18, 25], "18391": [17, 18], "mb": [17, 18, 21, 25, 28, 31, 32, 47, 51, 54], "565888": 17, "627966": 17, "622255": 17, "061100": 17, "862552": 17, "206292": 17, "067991": 17, "426067": 17, "097516": 17, "052349": 17, "999622": 17, "134658": 17, "588307": 17, "383": [17, 25, 51], "044313": 17, "892491": 17, "115083": 17, "856175": 17, "512319": 17, "486266": 17, "020873": 17, "124": [17, 34, 41, 49, 55], "350000": 17, "540000": 17, "499900": 17, "14999": 17, "846154": [17, 25], "692308": 17, "930000": 17, "280": [17, 23, 25, 51], "560225": 17, "119400": 17, "439360": 17, "005888": 17, "430323": 17, "490000": 17, "250000": [17, 21, 22, 35, 44, 47, 48], "527500": 17, "179300": 17, "226415": 17, "048860": 17, "818868": 17, "010000": 17, "710000": 17, "606": 17, "736900": 17, "263600": 17, "051620": 17, "099723": 17, "283921": 17, "310000": 17, "950000": 17, "6082": 17, "000100": 17, "500001": 17, "141": [17, 19, 23, 40, 41], "909091": 17, "066667": 17, "1243": 17, "isnul": 17, "hist": [17, 20, 22, 25, 32, 37, 48, 51], "bin": [17, 20, 22, 25, 31, 37, 48, 51], "scatter": [17, 22, 25, 30, 44, 48, 56], "cmap": [17, 20, 21, 24, 30, 46, 47, 50, 56], "get_cmap": 17, "jet": 17, "colorbar": [17, 19, 47], "sharex": 17, "drope": 17, "var": 17, "b3": 17, "g26r0dcx4b35vf3nk31216hc0000gr": 17, "ipykernel_4440": 17, "4158382658": 17, "futurewarn": [17, 18, 22, 24, 48, 50], "__getitem__": [17, 18], "ser": [17, 18], "055": 17, "012": [17, 18, 30], "7763": [17, 25, 38], "6389": [17, 25], "584615": [17, 25], "769231": 17, "15377": [17, 25, 38], "779": [17, 25], "5391": [17, 25], "016688": [17, 25], "017972": 17, "127086": 17, "17730": [17, 25, 38], "6306": [17, 25], "958393": [17, 25], "031564": 17, "493544": 17, "15725": [17, 25, 38], "326": [17, 25, 40], "8750": [17, 25, 28, 54], "739264": [17, 25], "024540": 17, "720859": 17, "348": [17, 25, 41], "5156": [17, 25], "491379": [17, 25], "117816": 17, "566092": 17, "sort_valu": [17, 18, 19, 20, 22, 23, 24, 25, 31, 32, 35, 38, 46, 48, 49, 50, 51], "20248": 17, "0000": [17, 19, 21, 25, 38, 47, 52, 55], "888889": [17, 19, 21, 47], "222222": 17, "12649": 17, "6250": [17, 28, 54], "444444": 17, "3125": 17, "12138": 17, "785714": 17, "8219": [17, 28, 54], "5938": 17, "4591": 17, "1179": 17, "2254": 17, "096692": [17, 24, 50], "218830": 17, "19485": 17, "255": [17, 36], "9336": 17, "662745": 17, "572549": 17, "6962": 17, "357": [17, 41], "7328": 17, "535014": 17, "481793": 17, "14970": 17, "677": [17, 48], "6973": 17, "129985": 17, "098966": 17, "2064": 17, "x_train_imp": [17, 43], "x_test_imp": [17, 43], "amuel": 17, "coms4995": 17, "s19": 17, "aml": 17, "plot_scal": [17, 43], "908140": [17, 18, 43], "743917": [17, 18, 43], "526078": [17, 18, 43], "266135": [17, 18, 43], "389736": [17, 18, 43], "210591": [17, 18, 43], "083813": [17, 18, 43], "126398": [17, 18, 43], "002057": [17, 18, 43], "083123": [17, 18, 43], "923283": [17, 18, 43], "253312": [17, 18, 43], "198924": [17, 18, 43], "726412": [17, 18, 43], "166631": [17, 18, 43], "050132": [17, 18, 43], "218207": [17, 18, 43], "352930": [17, 18, 43], "380504": [17, 18, 43], "542873": [17, 18, 43], "635239": [17, 18, 43], "273606": [17, 18, 43], "025391": [17, 18, 43], "099240": [17, 18, 43], "128188": [17, 18, 43], "753286": [17, 18, 43], "843842": [17, 18, 43], "561467": [17, 18, 43], "714077": [17, 18, 43], "122307": [17, 18, 43], "280310": [17, 18, 43], "010183": [17, 18, 43], "168196": [17, 18, 43], "287344": [17, 18, 43], "500924": [17, 18, 43], "059242": [17, 18, 43], "640266": [17, 18, 43], "190617": [17, 18, 43], "126808": [17, 18, 43], "18571": [17, 18, 43], "733102": [17, 18, 43], "804818": [17, 18, 43], "586095": [17, 18, 43], "966131": [17, 18, 43], "118182": [17, 18, 43], "063110": [17, 18, 43], "099558": [17, 18, 43], "071541": [17, 18, 43], "18572": [17, 18, 43], "163195": [17, 18, 43], "057793": [17, 18, 43], "161606": [17, 18, 43], "728235": [17, 18, 43], "357500": [17, 18, 43], "235096": [17, 18, 43], "163397": [17, 18, 43], "007458": [17, 18, 43], "18573": [17, 18, 43], "097293": [17, 18, 43], "797355": [17, 18, 43], "876574": [17, 18, 43], "514155": [17, 18, 22, 43, 48], "934269": [17, 18, 43], "211892": [17, 18, 43], "135305": [17, 18, 43], "044029": [17, 18, 43], "18574": [17, 18, 43], "437367": [17, 18, 43], "008167": [17, 18, 43], "221622": [17, 18, 43], "454427": [17, 18, 43], "006578": [17, 18, 43], "273382": [17, 18, 43], "149822": [17, 18, 43], "132875": [17, 18, 43], "18575": [17, 18, 43], "242996": [17, 18, 43], "272667": [17, 18, 43], "684960": [17, 18, 43], "396991": [17, 18, 43], "711754": [17, 18, 43], "025998": [17, 18, 43], "042957": [17, 18, 43], "051269": [17, 18, 43], "7978563117812038": [17, 43], "saw": [17, 19, 20, 21, 26, 27, 43, 45, 46, 47, 51, 53], "fix": [17, 18, 23, 30, 32, 37, 43, 49, 56, 57], "realist": [17, 31, 36, 38, 43], "008132": 17, "152928": 17, "696373": [17, 43], "794236": [17, 43], "007522": 17, "127681": 17, "684447": [17, 43], "791467": [17, 43], "007437": 17, "138511": 17, "695532": [17, 43], "789436": [17, 43], "007342": 17, "140131": 17, "679478": [17, 43], "793243": [17, 43], "007334": 17, "085792": 17, "680657": [17, 43], "794820": [17, 43], "leak": [17, 43], "methodolog": [17, 31], "eleg": [17, 43, 55], "pipe": [17, 18, 19, 20, 21, 23, 25, 29, 30, 34, 43, 44, 45, 46, 47, 51, 55, 56], "earlier": [17, 23, 25, 31, 32, 49, 51], "shorthand": 17, "lowercas": [17, 18], "automat": [17, 18, 22, 25, 29, 30, 31, 32, 48, 51, 55, 56], "x27": [17, 18, 20, 21, 22, 23, 25, 30, 37, 38, 39, 40, 41, 43, 46, 48, 49, 56], "pipelinepipelin": [17, 18, 20, 21, 22, 25, 30, 38, 39, 43, 46, 48, 56], "simpleimputersimpleimput": [17, 18, 22, 23, 25, 37, 43, 48, 49], "standardscalerstandardscal": [17, 18, 20, 21, 22, 23, 25, 30, 37, 39, 43, 46, 48, 49, 56], "kneighborsregressorkneighborsregressor": [17, 18, 43], "x_train_imp_sc": [17, 43], "126500": 17, "117380": 17, "187700": 17, "259500": 17, "308120": 17, "60860": 17, "imp": [17, 18, 31], "017": [17, 18, 23, 24, 30, 34], "135": [17, 28, 31, 40, 41, 54], "013": [17, 18, 25, 32, 34, 49], "693": 17, "797": [17, 48], "kneighborregressor": 17, "theoret": [17, 21, 23, 43, 47, 49], "vietnames": [17, 43], "mandarin": [17, 43], "french": [17, 34, 43, 55], "spanish": [17, 43], "hindi": [17, 43], "simpli": [17, 25, 26, 34, 43, 51, 52, 55], "enc": [17, 18, 31, 43], "x_toy_ord": [17, 18, 43], "language_enc": [17, 43], "impos": 17, "warm": 17, "handle_unknown": [17, 18, 20, 21, 22, 23, 24, 31, 32, 37, 39, 42, 43, 44, 45, 46, 48, 49, 50, 60], "sparse_output": [17, 18, 21, 22, 23, 24, 31, 32, 37, 42, 43, 48, 49, 50], "x_toy_oh": [17, 43], "get_feature_names_out": [17, 18, 21, 22, 23, 24, 25, 29, 31, 32, 33, 37, 38, 39, 43, 44, 48, 49, 50, 51, 55], "language_english": [17, 43], "language_french": [17, 43], "language_hindi": [17, 43], "language_mandarin": [17, 43], "language_spanish": [17, 43], "language_vietnames": [17, 43], "int": [17, 18, 21, 23, 24, 25, 29, 31, 34, 39, 40, 41, 49, 50, 51, 55], "x_imp_ohe_train": 17, "categories_": [17, 18], "1h": [17, 18, 25, 51], "island": [17, 18], "bai": [17, 18, 25, 51], "transformed_oh": 17, "ocean_proximity_": [17, 18], "ocean_proximity_inland": [17, 18], "ocean_proximity_island": [17, 18], "ocean_proximity_near": [17, 18], "get_dummi": 17, "dummyregressor": [18, 23, 24, 25, 35, 42, 43, 44, 48, 49, 50, 51], "standardscal": [18, 19, 20, 21, 22, 23, 24, 25, 27, 28, 30, 31, 32, 37, 39, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 53, 54, 56, 60], "if_binari": [18, 21, 23, 24, 37, 39, 42, 44, 49, 50], "treatment": [18, 44], "enter": [18, 32, 37], "enjoy_cours": [18, 42, 44], "university_year": [18, 42, 44], "excel": [18, 19, 22, 24, 28, 32, 38, 42, 44, 48, 50], "mechan": [18, 42, 44], "econom": [18, 31], "physic": [18, 31], "enjoy_class": 18, "numeric_feat": [18, 20, 25, 37, 42, 44, 46, 51, 60], "categorical_feat": [18, 20, 37, 42, 44, 46, 60], "passthrough_feat": [18, 20, 42, 44, 46, 60], "drop_feat": [18, 37, 42, 44], "ct": [18, 44], "onehot": [18, 25, 29, 44, 51, 55], "passthrough": [18, 20, 25, 32, 44, 46, 51], "columntransformercolumntransform": [18, 20, 22, 23, 25, 37, 46, 48, 49], "passthroughpassthroughonehotencod": 18, "onehotencoderonehotencod": [18, 20, 22, 23, 37, 46, 48, 49], "dropdrop": [18, 23], "concaten": [18, 29, 34, 55], "09345386": [18, 44], "3589134": [18, 44], "21733442": [18, 44], "36269995": [18, 44], "84002795": [18, 44], "07471942": 18, "59082668": 18, "61420598": 18, "85597188": 18, "71219761": 18, "26447953": 18, "31655231": 18, "31297381": 18, "69393613": 18, "24295676": 18, "57640869": 18, "45653693": 18, "8878117": 18, "38043616": 18, "37797291": 18, "51503393": 18, "05478443": 18, "86907725": 18, "19213263": 18, "80482065": 18, "22697768": 18, "84440919": 18, "03256625": 18, "27875502": 18, "09430199": 18, "70678332": 18, "70560276": 18, "46530779": 18, "33308783": 18, "93869659": 18, "77484447": 18, "00830586": 18, "81970188": 18, "05465323": 18, "87406235": 18, "97203586": 18, "94959681": 18, "05598498": 18, "67562658": 18, "97328024": 18, "58137177": 18, "86267067": 18, "97223953": 18, "90403853": 18, "61234944": 18, "39896994": 18, "33682642": 18, "10247431": 18, "20087625": 18, "43827545": 18, "08031924": 18, "16063983": 18, "82273995": 18, "12436984": 18, "column_nam": [18, 44], "named_transformers_": [18, 21, 22, 23, 24, 25, 31, 32, 37, 39, 44, 48, 49, 50, 51], "major_biolog": [18, 44], "major_comput": [18, 44], "major_econom": [18, 44], "major_linguist": [18, 44], "major_mathemat": [18, 44], "major_mechan": [18, 44], "major_phys": [18, 44], "major_psycholog": [18, 44], "093454": [18, 44], "358913": [18, 44], "217334": [18, 44], "362700": [18, 44], "840028": [18, 44], "074719": [18, 44], "590827": [18, 44], "614206": [18, 44], "855972": [18, 44], "712198": [18, 44], "264480": [18, 44], "316552": [18, 44], "312974": [18, 44], "693936": [18, 44], "242957": [18, 44], "576409": [18, 44], "456537": [18, 44], "887812": [18, 44], "380436": [18, 44], "377973": [18, 44], "515034": [18, 44], "054784": [18, 44], "869077": 18, "192133": 18, "804821": 18, "226978": 18, "844409": 18, "032566": 18, "278755": 18, "094302": 18, "706783": 18, "705603": 18, "465308": 18, "333088": 18, "938697": 18, "774844": 18, "008306": 18, "819702": 18, "054653": 18, "874062": 18, "972036": 18, "949597": 18, "055985": 18, "675627": 18, "973280": 18, "581372": 18, "862671": 18, "972240": 18, "904039": 18, "612349": 18, "398970": 18, "336826": 18, "102474": 18, "200876": 18, "438275": 18, "080319": 18, "160640": 18, "822740": 18, "124370": 18, "dropdropsvcsvc": 18, "tricki": [18, 20, 24, 28, 46, 50, 54], "diagram": [18, 20, 23, 24, 46, 49, 50], "x_transform": 18, "893260": 18, "294251": 18, "704099": 18, "103439": 18, "100139": [18, 20], "105089": 18, "303109": 18, "504429": 18, "492270": 18, "092930": 18, "493921": 18, "094581": 18, "693590": 18, "class_attendance_enc": 18, "class_attendance_level": 18, "revers": [18, 22], "oe": [18, 42], "ca_transform": 18, "inner": [18, 20, 29, 55], "ordinal_feat": [18, 37], "ordinalencoderordinalencod": [18, 22, 23, 48, 49], "_valid": [18, 37], "824": 18, "partit": [18, 26, 27, 37, 52, 53], "_score": 18, "scorer": [18, 22, 37, 48], "_scorer": [18, 37], "527": [18, 37], "__call__": [18, 28, 34, 37], "749": [18, 37], "xt": [18, 37], "_set_output": [18, 37], "data_to_wrap": [18, 37], "_column_transform": 18, "816": 18, "xs": [18, 34], "_fit_transform": 18, "670": 18, "parallel": [18, 20, 23, 28, 43, 46, 49], "n_job": [18, 21, 22, 23, 28, 46, 48, 49], "super": [18, 40, 41, 42], "iterable_with_config": 18, "joblib": [18, 28], "return_gener": [18, 28], "1792": [18, 28], "_get_sequential_output": [18, 28], "933": [18, 48], "_transform_on": 18, "_encod": [18, 37], "1016": [18, 30, 31, 36, 37, 56], "x_int": [18, 37], "x_mask": [18, 37], "_transform": [18, 37], "msg": [18, 32, 37, 48], "005834": [], "002456": [], "004450": 18, "002241": [], "004330": [], "002239": [], "004316": 20, "002218": [], "004323": [], "007084": [], "throw": [18, 30, 32, 33, 56, 58], "simplest": [18, 40], "005123": [], "002337": [], "004418": [], "002244": [], "004350": [], "002256": [], "004328": 18, "002267": [], "004343": [], "002226": [], "behaviour": [18, 28, 54], "provinc": [18, 29, 55], "ohehotencod": 18, "presenc": [18, 24, 44, 50], "absenc": [18, 24, 44, 50], "ohe_enc": 18, "enjoy_course_enc": 18, "binary_feat": [18, 37], "005860": [], "002741": [], "004977": [], "002603": [], "005002": [], "002608": [], "005004": [], "002642": 18, "004937": [], "002600": [], "9730": 18, "611": 18, "3814": 18, "286416": 18, "014730": 18, "944354": 18, "14690": 18, "360": 18, "7188": 18, "008333": 18, "019444": 18, "541667": [18, 44], "7938": 18, "3889": 18, "078880": 18, "043257": 18, "127226": 18, "18365": 18, "8691": 18, "232143": 18, "142857": 18, "660714": 18, "10931": 18, "922": 18, "9926": 18, "634490": 18, "046638": 18, "195228": 18, "numeric_featur": [18, 21, 22, 23, 24, 25, 31, 32, 39, 48, 49, 50, 51], "categorical_featur": [18, 21, 22, 23, 24, 31, 32, 39, 48, 49, 50], "8221": 18, "5915": 18, "2389": 18, "2046": 18, "numeric_transform": [18, 21, 22, 23, 24, 31, 37, 39, 48, 49, 50], "categorical_transform": [18, 21, 22, 23, 24, 31, 37, 39, 48, 49, 50], "preprocessor": [18, 20, 21, 22, 23, 24, 25, 31, 32, 37, 39, 46, 48, 49, 50, 51, 60], "x_train_pp": 18, "knn_pipe": 18, "025": [18, 21, 24, 49], "003": [18, 20, 23, 24, 46, 49, 50], "192": [18, 40, 41], "016": 18, "706": 18, "806": 18, "svr_pipe": 18, "163": [18, 35], "086": [18, 24], "153": [18, 50], "049": [18, 49], "svr_c_pipe": 18, "528": [18, 22, 48], "149": [18, 32, 34, 36, 41], "713": 18, "contin": 18, "south": [18, 29, 55], "asia": 18, "Or": [18, 20, 59], "race": [18, 21, 23, 24, 39, 49, 50], "toy_spam": [18, 44], "urgent": [18, 29, 33, 44, 55], "prize": [18, 33, 44, 49], "lol": [18, 33, 44], "convinc": [18, 33, 44], "nah": [18, 44], "usf": [18, 44], "membership": [18, 26, 27, 44, 52, 53], "jackpot": [18, 44], "mobil": [18, 44], "entitl": [18, 44], "latest": [18, 24, 32, 44, 50], "co": [18, 44, 52], "08002986030": [18, 44], "congrat": [18, 44], "toy_df": [18, 29, 44, 55], "nlp": [18, 25, 30, 34, 51, 56], "spoken": 18, "tf": 18, "idf": 18, "compon": [18, 21, 28, 31, 44, 47, 52, 54, 57], "vocabulari": [18, 19, 34, 44, 60], "corpu": [18, 21, 33, 34], "plural": 18, "corpora": [18, 29, 34, 55], "vec": [18, 29, 33, 38, 44, 55], "x_count": [18, 33, 44], "bow_df": [18, 33, 44], "toarrai": [18, 24, 31, 33, 38, 44, 50], "6x61": 18, "massiv": [18, 20, 46], "nonzero": 18, "overhead": 18, "fraction": [18, 21, 28, 54], "huge": [18, 22, 29, 30, 31, 32, 34, 48, 55, 56], "prod": [18, 20, 46], "nnz": 18, "vocabulary_": 18, "366": [18, 31], "1940": 18, "frequenc": [18, 29, 34, 55], "max_df": 18, "min_df": 18, "ngram_rang": [18, 33], "vec_binari": 18, "vec8": 18, "vec8_binari": 18, "unexpect": [18, 19, 20, 45, 46], "match": [18, 19, 21, 23, 24, 31, 48, 50, 58], "ti": [18, 52, 59], "prone": [18, 20, 46], "habit": 18, "punctuat": 18, "charact": [18, 21, 33], "token_pattern": 18, "countvectorizercountvector": [18, 38], "svcsvc": [18, 20, 21, 39, 46], "composit": 18, "surprisingli": [18, 19], "3dp5h": [18, 19, 44, 51], "encount": [18, 44, 45], "slightli": [18, 19, 21, 23, 32, 36, 37, 44, 45, 49], "handle_unknow": [18, 44], "tfidfvector": [19, 33, 45], "hypothet": [19, 45], "snake": [19, 30, 45], "seed": [19, 20, 26, 27, 36, 40, 41, 45, 52, 53], "x_1": [19, 25, 26, 45, 51, 52], "linspac": [19, 20, 22, 25, 45, 46, 48, 51], "randn": [19, 25, 45, 51], "ab": [19, 21, 22, 24, 45, 47, 48, 50], "snakes_df": [19, 45], "489130": [19, 45], "507995": [19, 45], "073233": [19, 45], "658047": [19, 45], "622709": [19, 45], "748797": [19, 45], "984653": [19, 45], "731572": [19, 45], "484937": [19, 45], "016555": [19, 45], "markers": [19, 21, 45, 47], "grid": [19, 22, 28, 32, 45, 48, 54], "orang": 19, "snake_length": [19, 45], "20683258": [19, 45], "slope": 19, "coef_": [19, 22, 23, 24, 25, 28, 30, 31, 32, 38, 45, 48, 49, 50, 51, 54, 56], "intercept_": [19, 23, 30, 45, 49, 56], "respect": [19, 20, 21, 23, 24, 49, 50, 58, 59], "26370005": [19, 45], "259057547817185": 19, "w_1": [19, 29, 45, 55], "hat": [19, 22, 23, 45, 48, 49, 51], "w_1x_1": [19, 45], "hyperplan": [19, 45], "w_d": [19, 45], "x_d": [19, 45], "bia": [19, 21, 24, 39, 42, 45, 50], "offset": [19, 45], "footag": 19, "002": [19, 23, 24, 32, 49, 51, 55], "1875": [19, 55], "w_2x_2": 19, "w_3x_3": 19, "w_4x_4": 19, "plane": 19, "linearregress": [19, 22, 25, 32, 42, 45, 48, 51], "vanilla": [19, 45], "IT": [19, 45], "boston": 19, "neighborhood": [19, 22, 24, 48, 50], "crime": 19, "neighbourhood": [19, 25, 27, 51, 53], "proxim": 19, "charl": 19, "river": 19, "highwai": 19, "fetch_california_h": [19, 45, 58], "medinc": [19, 45], "houseag": 19, "averoom": [19, 45], "avebedrm": 19, "aveoccup": 19, "303030": 19, "082251": 19, "725": [19, 20, 46], "138528": 19, "506410": 19, "134615": 19, "1026": [19, 31], "288462": 19, "0474": 19, "419355": 19, "006452": 19, "767742": 19, "2794": 19, "546473": 19, "044166": 19, "5146": 19, "392221": 19, "5551": 19, "018487": 19, "016807": 19, "1886": 19, "169748": 19, "16507": [19, 25, 51], "0185": 19, "205479": 19, "863014": 19, "434": [19, 43, 46], "981735": 19, "16508": [19, 25, 51], "6320": [19, 32], "462963": 19, "851852": 19, "16509": [19, 25, 51], "9808": 19, "678689": 19, "006557": 19, "999": [19, 25, 51], "275410": 19, "16510": [19, 25, 51], "8195": 19, "585513": 19, "961771": 19, "1645": 19, "309859": 19, "16511": [19, 25, 51], "7315": 19, "368304": 19, "738839": 19, "1085": 19, "421875": 19, "16512": [19, 25, 51], "descr": 19, "_california_housing_dataset": 19, "20640": [19, 25, 51], "block": [19, 32], "statlib": 19, "dcc": 19, "fc": 19, "pt": [19, 20, 46], "ltorgo": 19, "cal_hous": 19, "hundr": 19, "1990": [19, 43, 46], "censu": [19, 21, 23, 24, 39, 49, 50], "smallest": [19, 22, 26, 27, 48, 53], "geograph": 19, "bureau": 19, "resid": 19, "empti": [19, 28, 29, 30, 32, 34, 36, 40, 41, 55, 56], "resort": 19, "kellei": 19, "ronald": 19, "barri": 19, "spatial": 19, "autoregress": 19, "1997": [19, 20, 35], "297": [19, 34], "006192": [], "000501": [], "599492": 19, "608050": 19, "003066": [], "000507": [], "613507": 19, "604619": 19, "002927": [], "000448": 46, "598100": 19, "608468": 19, "004280": [], "000437": [], "612621": 19, "604797": 19, "002718": [], "000434": [], "601790": 19, "606902": 19, "scores_dict": [19, 38], "pipe_ridg": [19, 22, 45, 48], "606567": 19, "605101": 19, "605102": 19, "606557": 19, "605100": 19, "605696": 19, "604320": 19, "579432": 19, "578523": 19, "431137": 19, "430868": 19, "116167": 19, "115956": 19, "underfit": [19, 20, 30, 35, 45, 46, 56, 59], "coeff": [19, 38, 45], "named_step": [19, 21, 22, 23, 24, 25, 31, 34, 38, 45, 48, 49, 50, 51], "827039": 19, "117058": 19, "265273": 19, "307521": 19, "003194": 19, "039498": 19, "895963": 19, "866110": 19, "0667579112160865": 19, "accord": [19, 21, 22, 25, 28, 32, 45, 47, 51, 54, 57], "piec": [19, 32, 38, 45], "invers": [19, 22, 45, 48], "multipli": [19, 20, 21, 23, 25, 32, 46, 49, 51], "coef_df": [19, 24, 50], "grain": [19, 24, 50], "salt": [19, 24, 50], "simpler": [19, 20, 35, 46], "movi": [19, 25, 29, 38, 51, 55], "asleep": 19, "enjoi": [19, 38, 58], "flawless": [19, 38], "x_i": [19, 28, 54], "plot_logistic_regress": 19, "960": [19, 37], "y_hat": [19, 23, 45, 49], "toward": [19, 24, 29, 38, 45, 50, 55, 57], "w_0": [19, 45], "floatslid": [19, 21, 26, 27, 53, 59], "w_dx_d": [19, 45], "tx": [19, 25, 45], "geq": [19, 45], "000288": 46, "000625": [], "588235": 19, "601504": 19, "000160": [], "000287": 20, "000147": [], "000271": [], "606061": 19, "597015": 19, "000136": [], "000260": [], "000137": [], "000253": [], "lr": [19, 21, 22, 24, 25, 30, 31, 32, 45, 48, 50, 51, 56], "007157": [], "000384": [], "852941": 19, "827068": 19, "002208": [], "000272": 19, "002028": [], "000261": [], "696970": 19, "002125": [], "000247": [], "002146": [], "04108149": 19, "33683126": 19, "8869838": 19, "041081": 19, "336831": 19, "li": 19, "8001": 19, "098": [19, 30], "97817876": 19, "alphabet": 19, "classes_": [19, 21, 23, 24, 30, 38, 47, 49], "978": 19, "divid": [19, 21, 23, 24, 31, 45, 49, 50], "__class__": [19, 31, 45], "gamma": [19, 20, 23, 43, 45, 46, 49, 59], "0001": [19, 21, 22, 46, 48, 52], "664707": 19, "658645": 19, "0010": 19, "784424": 19, "790731": 19, "0100": 19, "827842": 19, "826203": 19, "832320": 19, "820143": 19, "soft": [19, 23, 26, 37, 45, 49, 52], "87848688": 19, "12151312": 19, "redund": [19, 24, 50], "aka": [19, 32, 45], "squash": [19, 45], "exp": [19, 32, 45], "raw_model_output": [19, 45], "data_dict": [19, 45], "7046068097086478": 19, "2953931902913523": 19, "5630169062040135": 19, "43698309379598654": 19, "8389680973255862": 19, "16103190267441386": 19, "7964150775404333": 19, "20358492245956678": 19, "901080665234097": 19, "09891933476590302": 19, "7753006388010788": 19, "22469936119892117": 19, "030740704606528224": 19, "9692592953934718": 19, "6880304799160926": 19, "3119695200839075": 19, "7891358587234142": 19, "21086414127658581": 19, "006546969753885579": 19, "9934530302461144": 19, "2787419584843105": 19, "7212580415156895": 19, "8388877146644935": 19, "16111228533550653": 19, "least_confident_x": 19, "7599": 19, "6858": 19, "078": [19, 23], "least_confident_i": 19, "prob": [19, 23, 49], "634392": 19, "365608": 19, "635666": 19, "364334": 19, "most_confident_x": 19, "110": [19, 24, 28, 30, 56], "9748": 19, "2229": 19, "most_confident_i": 19, "165": [19, 22, 28, 40, 48, 49], "010028": 19, "989972": 19, "901081": 19, "098919": 19, "over_confident_x": 19, "over_confident_i": 19, "961902": 19, "038098": 19, "931792": 19, "068208": 19, "alaska": 19, "mainland": 19, "listedcolormap": [19, 45], "ncol": 19, "scores_imag": 19, "plot_2d_scor": 19, "cm": [19, 21, 24, 28, 29, 47, 50, 54, 55, 59], "coolwarm": 19, "cbar": 19, "uncertainti": [19, 21, 47], "hyperparlan": [19, 45, 46], "uncertain": [19, 45, 46], "linear_svc": 19, "0195598": 19, "23640124": 19, "22811601": 19, "w_j": [19, 38, 45, 51], "x_": [19, 38, 45, 51, 59], "ij": [19, 26, 28, 33, 38, 45, 54], "linearli": [19, 25, 45, 51], "draw": [19, 20, 29, 45, 55], "datapoint": [19, 45], "xor": [19, 25, 51], "x_2": [19, 25, 26, 51, 52], "parametr": [20, 27, 53], "pictur": [20, 23, 24, 27, 29, 38, 49, 50, 53, 55], "set_config": [20, 23, 46, 49], "night": [20, 21, 31, 38, 55], "10th": [20, 21, 23, 24, 39, 46, 49, 50], "disadvantag": [20, 23, 27, 46, 49, 53], "infeas": [20, 46], "plot_grid_search_overview": [20, 46], "y_spotifi": [20, 46, 60], "text_feat": [20, 37, 46], "make_column_transform": [20, 21, 22, 23, 24, 25, 31, 32, 37, 39, 42, 44, 46, 48, 49, 50, 51], "stop_word": [20, 21, 25, 29, 34, 37, 38, 46, 51, 55, 60], "svc_pipe": [20, 46, 60], "best_scor": [20, 46], "dt_pipe": [20, 46], "best_param": [20, 46], "7309385996961713": 20, "pipe_svm": [20, 46], "passthroughpassthroughcountvectorizersong_titlecountvectorizercountvector": [20, 46], "043634": 20, "010538": 20, "734011": [20, 46], "828891": [20, 46], "loop": [20, 23, 30, 31, 46, 49, 56], "best_paramet": [20, 46], "7352614272253524": [20, 46], "735261": [20, 46], "722249": [20, 46], "716657": [20, 46], "716655": [20, 46], "705511": [20, 46], "701173": [20, 46], "691877": [20, 46], "677601": [20, 46], "673277": [20, 46], "652828": [20, 46], "xticklabel": [20, 46], "yticklabel": [20, 46], "viridi": [20, 46, 55], "polycollect": [20, 46], "0x17a609330": 20, "180": [20, 22, 48, 49], "retrain": [20, 46], "full": [20, 23, 30, 31, 38, 46, 49, 52, 56, 57], "doubl": 20, "asterisk": 20, "vecom": 20, "compact": [20, 25, 46, 51], "instanti": [20, 35, 46], "columntransformer__countvectorizer__max_featur": [20, 46], "svc__gamma": [20, 46], "svc__c": [20, 46], "gs": 20, "behav": [20, 24, 46, 50], "gridsearchcvgridsearchcv": [20, 46], "best_score_": [20, 22, 48], "best_params_": [20, 22, 48], "7395977155164125": 20, "cv_results_": [20, 22, 46, 48], "210": [20, 34, 46], "211": [20, 41, 46], "215": [20, 46], "mean_fit_tim": [20, 22, 46, 48], "09362": 20, "090496": 20, "093034": 20, "081402": 20, "083386": 20, "079499": 20, "088536": 20, "097821": 20, "088655": 20, "086925": 20, "138336": 20, "124506": 20, "126638": 20, "116394": 20, "092997": 20, "160912": 20, "12998": 20, "11663": 20, "134479": 20, "114185": 20, "std_fit_tim": [20, 22, 46, 48], "002245": 20, "007851": 20, "003061": 20, "006539": 20, "005313": 20, "008247": 20, "016187": 20, "012647": 20, "00674": 20, "009408": 20, "019875": 20, "00394": 20, "005157": 20, "006984": 20, "007498": 20, "005194": 20, "003368": 20, "027403": 20, "009475": 20, "mean_score_tim": [20, 22, 46, 48], "026274": 20, "022236": 20, "023867": 20, "020585": 20, "021553": 20, "024314": 20, "026362": 20, "020904": 20, "018969": 20, "020618": 20, "022381": 20, "024938": 20, "025389": 20, "027556": 20, "025549": 20, "020927": 20, "022487": 20, "033786": 20, "027255": 20, "024416": 20, "std_score_tim": [20, 22, 46, 48], "00278": 20, "001885": 20, "006274": 20, "004214": 20, "002736": 20, "003899": [20, 25], "009461": 20, "004083": 20, "00275": 20, "003466": 20, "003687": 20, "004545": 20, "001204": 20, "004307": 20, "004743": 20, "00318": 20, "00124": 20, "009491": 20, "004045": 20, "005211": 20, "param_columntransformer__countvectorizer__max_featur": [20, 46], "param_svc__c": [20, 46], "param_svc__gamma": [20, 46], "param": [20, 22, 46, 48], "split0_test_scor": [20, 46], "50774": [20, 46], "733746": [20, 46], "616099": [20, 46], "504644": [20, 46], "718266": [20, 46], "724458": [20, 46], "split1_test_scor": [20, 46], "77709": [20, 46], "625387": [20, 46], "510836": [20, 46], "739938": [20, 46], "split2_test_scor": [20, 46], "690402": [20, 46], "606811": [20, 46], "693498": [20, 46], "687307": [20, 46], "split3_test_scor": [20, 46], "708075": [20, 46], "618012": [20, 46], "68323": [20, 46], "704969": [20, 46], "split4_test_scor": [20, 46], "723602": [20, 46], "645963": [20, 46], "720497": [20, 46], "717391": [20, 46], "mean_test_scor": [20, 22, 46, 48], "50775": [20, 46], "726583": [20, 46], "622454": [20, 46], "50899": [20, 46], "508371": [20, 46], "70799": [20, 46], "717289": [20, 46], "721008": [20, 46], "000982": [20, 46], "029198": [20, 46], "013161": [20, 46], "001162": [20, 46], "002105": [20, 46], "01647": [20, 46], "012616": [20, 46], "025396": [20, 46], "rank_test_scor": [20, 22, 46, 48], "split0_train_scor": [20, 46], "828682": [20, 46], "989147": [20, 46], "split1_train_scor": [20, 46], "999225": [20, 46], "834109": [20, 46], "989922": [20, 46], "split2_train_scor": [20, 46], "99845": [20, 46], "827907": [20, 46], "987597": [20, 46], "split3_train_scor": [20, 46], "998451": [20, 46], "841208": [20, 46], "989156": [20, 46], "split4_train_scor": [20, 46], "82804": [20, 46], "988381": [20, 46], "99907": [20, 46], "999535": [20, 46], "831989": [20, 46], "988841": [20, 46], "000245": [19, 20, 46], "00058": [20, 46], "00038": [20, 46], "005151": [20, 46], "00079": [20, 46], "216": [20, 40, 41, 46], "082239": 20, "091365": 20, "075905": 20, "079365": 20, "074667": 20, "071952": 20, "114204": 20, "120616": 20, "111872": 20, "095529": 20, "094435": 20, "086811": 20, "084239": 20, "084668": 20, "114835": 20, "133654": 20, "100802": 20, "084321": 20, "017929": 20, "009019": 20, "001863": 20, "002799": 20, "005709": 20, "012657": 20, "004517": 20, "013534": 20, "004554": 20, "008126": 20, "005758": 20, "001365": 20, "001992": 20, "002249": 20, "030487": 20, "010186": 20, "01529": 20, "006017": 20, "02044": 20, "023177": 20, "020847": 20, "019106": 20, "016048": 20, "016085": 20, "019604": 20, "021965": 20, "016905": 20, "025864": 20, "022135": 20, "022843": 20, "022825": 20, "024425": 20, "022338": 20, "027007": 20, "021059": 20, "020835": 20, "00605": 20, "003086": 20, "005943": 20, "000669": 20, "002716": 20, "003923": 20, "00054": 20, "004778": 20, "001155": 20, "007156": 20, "00148": 20, "004053": 20, "001528": 20, "001748": 20, "003598": 20, "001511": [20, 36], "004258": 20, "003631": 20, "767802": 20, "76161": 20, "758514": 20, "727554": 20, "770898": 20, "755418": 20, "783282": 20, "71517": 20, "708978": 20, "712074": 20, "714286": 20, "729814": 20, "732919": 20, "701863": 20, "739598": [20, 46], "738977": [20, 46], "736498": [20, 46], "735879": [20, 46], "727829": [20, 46], "727198": [20, 46], "726573": [20, 46], "022629": 20, "025689": 20, "024028": 20, "021345": 20, "019839": 20, "020414": 20, "028337": 20, "028351": 20, "032404": 20, "889147": 20, "903101": 20, "881395": 20, "886047": 20, "872093": 20, "856589": 20, "993023": 20, "996899": 20, "986047": 20, "877519": 20, "895349": 20, "858915": 20, "873643": 20, "847287": 20, "83876": 20, "994574": 20, "888372": 20, "897674": 20, "87907": 20, "887597": 20, "85969": 20, "849612": 20, "884586": 20, "902401": 20, "869094": 20, "879938": 20, "859799": 20, "852053": 20, "992254": 20, "982184": 20, "876065": 20, "891557": 20, "861348": 20, "874516": 20, "850503": 20, "841983": 20, "993029": 20, "985283": 20, "883138": 20, "898016": 20, "869964": 20, "880348": 20, "857874": 20, "847799": 20, "992406": 20, "994266": 20, "986207": 20, "005426": 20, "004337": 20, "009063": 20, "00573": 20, "008667": 20, "006545": 20, "001792": 20, "001594": 20, "002561": 20, "7574257425742574": [20, 46], "configur": [20, 22, 23, 46, 49], "cpu": [20, 30, 36, 40, 41, 56], "nest": 20, "exponenti": [20, 46], "effici": [20, 26, 29, 46, 55], "ldot": 20, "magnitud": [20, 22, 24, 29, 31, 38, 45, 48, 50, 55], "display_heatmap": 20, "grid_search": [20, 46], "param_grid1": 20, "heat": [20, 22, 24, 48, 50], "darker": 20, "adjust": [20, 27, 31, 46, 53, 58, 59], "logspac": [20, 36], "84893192": 20, "11886432": 20, "81071706": 20, "09573445": 20, "param_grid2": 20, "param_grid3": 20, "param_grid4": 20, "random_search": [20, 46], "param_distribut": [20, 46], "randomizedsearchcvrandomizedsearchcv": [20, 46], "744565": 20, "743324": 20, "743323": 20, "742088": 20, "742086": 20, "741465": 20, "740844": 20, "740842": 20, "738984": 20, "0904": 20, "093338": 20, "073276": 20, "095493": 20, "105559": 20, "089195": 20, "102287": 20, "094115": 20, "093518": 20, "081567": 20, "10582": 20, "119814": 20, "108882": 20, "101262": 20, "09743": 20, "109406": 20, "112171": 20, "096542": 20, "113092": 20, "198402": 20, "expon": [20, 59], "lognorm": 20, "loguniform": [20, 46], "randint": [20, 46], "uniform": [20, 21, 27, 46, 47, 53], "norm": [20, 26, 29, 37, 51, 52, 55], "rv": [20, 52], "edgecolor": 20, "param_dist": [20, 46], "1e4": [20, 46], "1e": [20, 22, 46, 48], "1e3": [20, 46], "_distn_infrastructur": [20, 46], "rv_discrete_frozen": [20, 46], "0x17a779450": 20, "rv_continuous_frozen": [20, 46], "0x17ab11fc0": 20, "0x17acdec20": 20, "7278214718381631": 20, "727821": 20, "722241": 20, "721616": 20, "721006": 20, "715424": 20, "712324": 20, "711717": 20, "711086": 20, "70988": 20, "709874": 20, "50713": 20, "1619": [20, 34], "1014": [20, 30, 36, 56], "688": [20, 28, 54], "1880": [20, 28, 54], "224": [20, 30, 56], "987": [20, 49], "386": 20, "1963": 20, "928": 20, "1953": [20, 22, 48], "445": 20, "1397": 20, "776": 20, "1715": 20, "1562": 20, "1854": 20, "1631": [20, 34], "123539": 20, "165811": 20, "336735": 20, "101688": 20, "000976": [15, 20], "126563": 20, "000508": 20, "000917": 20, "032324": 20, "000503": 20, "053918": 20, "226": [15, 20], "698857": 20, "024122": 20, "387": [20, 32, 46], "490568": 20, "268": 20, "760262": 20, "845": 20, "206099": 20, "257024": 20, "601": 20, "401895": 20, "984": 20, "435792": 20, "3012": 20, "7551": 20, "390429": 20, "477": [20, 23], "418069": 20, "8502": 20, "828976": 20, "2806": 20, "696859": 20, "9471": 20, "173025": 20, "9295": 20, "688135": 20, "559": 20, "066944": 20, "3590": 20, "67449": 20, "7951": 20, "972198": 20, "1520": 20, "347523": 20, "7758": 20, "841886": 20, "9203": [20, 34], "835651": 20, "3089": 20, "543297": 20, "2144": 20, "534114": 20, "7736": 20, "150115": 20, "2451": 20, "353961": 20, "1813": 20, "530052": 20, "1564": 20, "825306": 20, "718242": 20, "389": [20, 25], "888811": 20, "126102": 20, "176774": 20, "107119": 20, "130691": 20, "46922": 20, "122202": 20, "100362": 20, "246759": 20, "151667": 20, "173214": 20, "157089": 20, "123943": 20, "146099": 20, "112194": 20, "169945": 20, "104168": 20, "107437": 20, "11166": 20, "11174": 20, "concentr": 20, "bergstra": [20, 46], "bengio": [20, 46], "jmlr": [20, 46], "yellow": [20, 46], "unimport": [20, 24, 33, 46, 50], "useless": [20, 24, 25, 46, 50, 51], "candid": [20, 23, 29, 46, 55], "checkout": [20, 22, 46, 48], "experiment": [20, 46], "enable_halving_search_cv": [20, 46], "noqa": [20, 46], "halvingrandomsearchcv": [20, 46], "rsh": [20, 46], "halvingrandomsearchcvhalvingrandomsearchcv": [20, 46], "params_str": [20, 46], "n_resourc": [20, 46], "008637": 20, "005436": 20, "003918": 20, "001374": 20, "7129": [20, 46], "653205": [20, 46], "026777": [20, 46], "653205232272": [20, 46], "02677733855112973": [20, 46], "005105": 20, "003716": 20, "001752": 20, "1222": [20, 46, 48], "5513": [20, 46], "247691": [20, 46], "698385": [20, 46], "247690828913": [20, 46], "698384608345687": [20, 46], "367423": [20, 46], "004306": 20, "002255": 20, "000225": [20, 31], "1247": [20, 46], "7800": [20, 46], "377619": [20, 46], "019382": [20, 46], "377619120792": [20, 46], "019381838999846482": [20, 46], "004415": 20, "000277": 20, "002346": 20, "000282": 20, "4809": [20, 46], "419015": [20, 46], "013707": [20, 46], "41901484361": [20, 46], "013706928443177698": [20, 46], "359784": [20, 46], "000297": 20, "002292": 20, "000241": [20, 36], "1042": [20, 46], "6273": [20, 46], "270093": [20, 46], "003919": [20, 36, 46], "270093376167": [20, 46], "003919287722401839": [20, 46], "406202": [20, 46], "640": [20, 46], "018303": 20, "000372": 20, "004555": 20, "000103": 20, "729": [20, 32, 46], "4943": [20, 46], "40065": [20, 46], "092454": [20, 46], "400649628005": [20, 46], "09245358900622544": [20, 46], "051925": [20, 46], "017674": 20, "000300": 20, "004712": [20, 46], "000077": 20, "1383": [20, 46], "2705": [20, 46], "246646": [20, 46], "173979": [20, 46], "246646103936": [20, 46], "1739787032867638": [20, 46], "046116": [20, 46], "016892": 20, "000119": 20, "004425": 20, "000041": 20, "440": [20, 31, 46], "5315": [20, 46], "613738": [20, 46], "17973": [20, 46], "613738418384": [20, 46], "17973005068132514": [20, 46], "043509": [20, 46], "158": [20, 40, 46], "057485": 20, "000514": [20, 36], "009248": 20, "000634": 20, "010715": [20, 34, 46], "159": [20, 41, 46], "052716": 20, "000821": 20, "010648": 20, "000210": [20, 36], "026620": [20, 46], "trial": [20, 32, 46], "bayesian": [20, 46, 52], "sophist": [20, 24, 29, 50, 55], "hyperopt": 20, "sigoptsearchcv": 20, "tpot": 20, "hyperband": 20, "smac": 20, "moe": 20, "pybo": 20, "spearmint": 20, "bayesopt": 20, "guarante": [20, 21, 23, 25, 26, 30, 46, 47, 49, 51, 52, 56], "suffer": [20, 46], "ton": [20, 28, 46, 54], "rodolfo": [20, 46], "lourenzutti": [20, 46], "number_test": [20, 46], "ntest": [20, 46, 59], "binomi": [20, 46], "shrink": [20, 25, 46, 51], "x_train_tini": [20, 46], "x_test_big": [20, 46], "y_train_tini": [20, 46], "y_test_big": [20, 46], "055100": [20, 46], "547": [20, 22, 46, 48], "251093": [20, 46], "643": [20, 46], "2670": [20, 46], "2270": [20, 46], "143": [20, 21, 40, 41, 43, 46, 47], "064": [20, 34, 46], "jackin": [20, 46], "album": [20, 46], "edit": [20, 29, 38, 46, 55], "1687": [20, 28, 34, 46, 54], "000353": [20, 46], "420": [20, 46, 50], "210240": [20, 46], "929": [20, 46], "000747": [20, 46], "1210": [20, 46], "3180": [20, 46], "chop": [20, 29, 46, 55], "suei": [20, 46], "871": [20, 23, 46, 49], "314000": [20, 46], "430": [20, 29, 46, 55], "193427": [20, 46], "734": [20, 22, 46, 48], "000286": [20, 46], "0808": [20, 46], "043": [20, 46, 49], "1020": [20, 25, 30, 31, 36, 46, 51, 56], "992": [20, 46], "0537": [20, 46], "1123": [20, 25, 46], "082100": [20, 46], "246653": [20, 46], "711": [20, 46], "0931": [20, 46], "544": [20, 46], "0335": [20, 46], "4760": [20, 46], "tesoro": [20, 46], "feat": [20, 25, 31, 46, 51], "nicki": [20, 46], "jam": [20, 46], "1396": [20, 46], "286000": [20, 46], "616": [20, 46], "236960": [20, 46], "2770": [20, 46], "079": [20, 46], "4700": [20, 46], "vain": [20, 46], "888": [20, 23, 24, 49, 50], "1000000": [20, 37, 46], "10000000": [20, 46], "1000000000": [20, 46], "100000000": [20, 46], "021886": 20, "008879": 20, "008858": 20, "008777": 20, "011115": 20, "008113": 20, "008049": 20, "005042": 20, "007631": [20, 51], "010351": 20, "006752": 20, "00634": 20, "008893": 20, "006381": 20, "010268": 20, "011497": 20, "009724": 20, "005913": 20, "006215": 20, "1_000_000_000": [20, 46], "5024752475247525": 20, "overli": [20, 46, 59], "optimist": 20, "suspect": 20, "infinit": [20, 46], "schmidt": [20, 46], "incorpor": [20, 22, 25, 31, 32, 33, 44, 46, 48, 51, 52], "prevent": [20, 28, 29, 32, 55], "labels": [21, 26, 52], "26th": [21, 22, 47, 48], "00pm": [21, 22, 48], "survei": [21, 26, 37, 45, 55, 56, 58], "fridai": 21, "6th": [21, 23, 24, 39, 49, 50], "llindrribc8564": 21, "transpar": 21, "cc_df": [21, 39, 47], "creditcard": [21, 39, 47], "199364": [21, 47], "confidenti": [21, 33], "pca": [21, 27, 28, 53, 54], "64454": [21, 39, 47], "129900": [21, 47], "v3": [21, 39, 47], "v4": [21, 39, 47], "v5": [21, 39, 47], "v6": [21, 39, 47], "v7": [21, 39, 47], "v8": [21, 39, 47], "v9": [21, 39, 47], "v10": [21, 47], "v11": [21, 47], "v12": [21, 47], "v13": [21, 47], "v14": [21, 47], "v15": [21, 47], "v16": [21, 47], "v17": [21, 47], "v18": [21, 47], "v19": [21, 47], "v20": [21, 47], "v21": [21, 39, 47], "v22": [21, 39, 47], "v23": [21, 39, 47], "v24": [21, 39, 47], "v25": [21, 39, 47], "v26": [21, 39, 47], "v27": [21, 39, 47], "v28": [21, 39, 47], "94888": [21, 47], "815669": [21, 47], "000492": [21, 47], "000726": [21, 47], "000927": [15, 21, 47], "000630": [21, 47], "000036": [21, 41, 47], "000011": [21, 32, 47], "001286": [21, 47], "002889": [21, 47], "000891": [21, 47, 48], "001205": [21, 47], "000198": [21, 47], "000113": [19, 21, 47], "000235": [21, 36, 47], "000312": [21, 47], "000366": [21, 47], "000227": [21, 31, 47], "164679": [21, 47], "001700": [21, 47], "47491": [21, 47], "435489": [21, 47], "959870": [21, 47], "645519": [21, 47], "505335": [21, 47], "413958": [21, 47], "361718": [21, 47], "327188": [21, 47], "210001": [21, 47], "214852": [21, 47], "096927": [21, 47], "748510": [21, 47], "726634": [21, 47], "628139": [21, 47], "605060": [21, 47], "520857": [21, 47], "481960": [21, 47], "401541": [21, 47], "333139": [21, 47], "238": [21, 24, 40, 41, 47], "925768": [21, 47], "041201": [21, 47], "407510": [21, 47], "715728": [21, 47], "813586": [21, 47], "683171": [21, 47], "147898": [21, 47], "160506": [21, 47], "557242": [21, 47], "216718": [21, 47], "320155": [21, 47], "830382": [21, 47], "887017": [21, 47], "807735": [21, 47], "824849": [21, 47], "295397": [21, 47], "241620": [21, 47], "565679": [21, 47], "710896": [21, 47], "54240": [21, 47], "918124": [21, 47], "600193": [21, 47], "892476": [21, 47], "847178": [21, 47], "691241": [21, 47], "768512": [21, 47], "553979": [21, 47], "209746": [21, 47], "642965": [21, 47], "227836": [21, 47], "541795": [21, 47], "162330": [21, 47], "354604": [21, 47], "317761": [21, 47], "326730": [21, 47], "070929": [21, 47], "052819": [21, 47], "640000": [21, 25, 47, 51], "84772": [21, 47], "018854": [21, 47], "065463": [21, 47], "179080": [21, 47], "019531": [21, 47], "056703": [21, 47], "275290": [21, 47], "040497": [21, 47], "022039": [21, 47], "052607": [21, 47], "029146": [21, 47], "007666": [21, 47], "011678": [21, 47], "041031": [21, 47], "016587": [21, 47], "052790": [21, 47], "001239": [21, 47], "011234": [21, 47], "139349": [21, 47], "315630": [21, 47], "803617": [21, 47], "028023": [21, 47], "744201": [21, 47], "610407": [21, 47], "399827": [21, 47], "570449": [21, 47], "327408": [21, 47], "597326": [21, 47], "186899": [21, 47], "529210": [21, 47], "146809": [21, 47], "439209": [21, 47], "351366": [21, 47], "242169": [21, 47], "090453": [21, 47], "078052": [21, 47], "150000": [21, 28, 47, 54], "172792": [21, 47], "451888": [21, 47], "057729": [21, 47], "382558": [21, 47], "491217": [21, 47], "801666": [21, 47], "917837": [21, 47], "054461": [21, 47], "587773": [21, 47], "594995": [21, 47], "202839": [21, 47], "503090": [21, 47], "083545": [21, 47], "022866": [21, 47], "070850": [21, 47], "517346": [21, 47], "152401": [21, 47], "847808": [21, 47], "11898": [21, 47], "090000": [21, 47], "briefli": [21, 23, 25, 49, 51], "x_train_big": [21, 39, 47], "y_train_big": [21, 39, 47], "explicit": [21, 28, 32, 47, 54], "x_valid": [21, 28, 35, 36, 39, 47, 54], "y_valid": [21, 28, 30, 35, 36, 39, 47, 54, 56], "008927": 21, "001098": 21, "998302": [21, 47], "998": [21, 25, 32, 51], "9983": [21, 47], "0017": [21, 47], "spot": [21, 22, 28, 47, 48, 53, 59], "407660": 21, "005171": 21, "999176": [21, 47], "999235": [21, 47], "dig": [21, 22], "confusionmatrixdisplai": [21, 39, 47], "from_estim": [21, 39, 47], "values_format": [21, 47], "display_label": [21, 47], "confusion_matrix": [21, 30, 32, 47, 56], "tn": [21, 47], "fp": [21, 47], "fn": [21, 47], "tp": [21, 47], "ravel": [21, 36, 38, 42, 47], "plot_confusion_matrix_exampl": [21, 47], "59700": [21, 47], "cross_val_predict": [21, 23, 32, 47, 49], "139296": [21, 47], "pipe_lr": [21, 23, 24, 38, 39, 47, 49, 50], "8889": [21, 47], "coverag": 21, "tpr": [21, 47], "harmon": [21, 47], "f1_score": [21, 39, 47], "7356": [21, 47], "999231": [21, 47], "000769": [21, 47], "627451": [21, 47], "735632": [21, 47], "accuracy_scor": [21, 47], "precision_scor": [21, 47], "recall_scor": [21, 47], "zero_divis": [21, 47], "classification_report": [21, 30, 39, 47, 56], "target_nam": [21, 47], "59708": [21, 47], "59810": [21, 47], "avg": [21, 28, 31, 47, 54], "y_true_toi": 21, "y_pred_toi": 21, "target_names_toi": 21, "weighted_averag": 21, "875": [21, 28, 54], "765": [21, 34], "test_accuraci": [21, 47], "train_accuraci": [21, 47], "test_f1": [21, 47], "train_f1": [21, 47], "test_recal": [21, 47], "train_recal": [21, 47], "test_precis": [21, 47], "train_precis": [21, 47], "569888": 21, "024585": 21, "999097": [21, 47], "999360": [21, 47], "694915": [21, 47], "782979": [21, 47], "602941": [21, 47], "678967": [21, 47], "820000": [21, 47], "924623": [21, 47], "554763": 21, "023579": 21, "999223": [21, 47], "999317": [21, 47], "739496": [21, 47], "766595": [21, 47], "647059": [21, 47], "660517": [21, 47], "862745": [21, 47], "913265": [21, 47], "556107": 21, "026092": 21, "999273": [21, 47], "999216": [21, 47], "743363": [21, 47], "726477": [21, 47], "617647": [21, 47], "612546": [21, 47], "933333": [21, 36, 47], "892473": [21, 47], "483313": 21, "023631": 21, "999172": [21, 47], "999254": [21, 47], "697248": [21, 47], "742981": [21, 47], "558824": [21, 47], "634686": [21, 47], "926829": [21, 47], "895833": [21, 47], "602210": 21, "030571": [21, 46], "999147": [21, 47], "696429": [21, 47], "728850": [21, 47], "582090": [21, 47], "happydb": 21, "cleaned_hm": 21, "sample_df": 21, "dropna": 21, "ground_truth_categori": 21, "wid": 21, "reflection_period": 21, "original_hm": 21, "num_sent": 21, "predicted_categori": 21, "hmid": 21, "27676": 21, "24h": 21, "late": [21, 57], "understood": 21, "hang": 21, "bond": 21, "27678": 21, "medit": 21, "leisur": 21, "27697": 21, "498": 21, "grandmoth": 21, "bed": 21, "27705": 21, "5732": 21, "daughter": 21, "airport": 21, "convers": [21, 22, 24, 29, 48, 50, 55], "27715": 21, "2272": 21, "flower": 21, "x_train_happi": 21, "y_train_happi": 21, "x_test_happi": 21, "y_test_happi": 21, "pred": [21, 22, 28, 31, 32, 47, 48, 54], "xticks_rot": 21, "1302": 21, "1423": 21, "enjoy_the_mo": 21, "54": [21, 22, 31, 34, 37, 48, 58, 59], "407": [21, 22, 48], "4238": 21, "diagnosi": [21, 47], "predict_proba": [21, 23, 24, 30, 38, 39, 47, 49, 50, 52, 56], "decision_funct": [21, 39, 47], "degre": [21, 28, 29, 47, 55], "certainti": [21, 47], "revisit": 21, "y_pred": [21, 31, 47], "busi": [21, 25, 26, 38, 47, 52], "costli": 21, "y_pred_lower_threshold": [21, 47], "sweep": 21, "panel": [21, 24, 26, 27, 50, 53, 58], "pyviz": 21, "pn": [21, 26, 27, 53, 58], "max_opt": [21, 26, 27, 53, 58], "bar": [21, 22, 24, 32, 48, 50], "willing": [21, 38], "exchang": 21, "occasion": 21, "precision_recall_curv": [21, 39, 47], "upper": [21, 32, 44], "average_precision_scor": [21, 39, 47], "ap_lr": [21, 47], "757": [21, 47, 49], "handi": 21, "precisionrecalldisplai": [21, 39, 47], "distinct": [21, 25, 31, 40, 41, 47, 51, 60], "qualiti": [21, 24, 26, 27, 47, 50, 52, 53], "desir": [21, 37], "pipe_svc": [21, 39], "logisticregressionlogisticregress": [21, 30, 38, 39, 56], "precision_lr": [21, 39], "recall_lr": [21, 39], "thresholds_lr": [21, 39], "n_threshold": 21, "59049": 21, "59050": 21, "precision_svc": [21, 39], "recall_svc": [21, 39], "thresholds_svc": [21, 39], "close_default_lr": 21, "close_zero_svm": 21, "svc_pred": 21, "lr_pred": [21, 22, 48], "736": 21, "ap_svc": 21, "790": [21, 32, 48], "fpr": [21, 47], "roc_curv": [21, 39, 47], "default_threshold": [21, 47], "fpr_lr": 21, "tpr_lr": 21, "fpr_svc": 21, "tpr_svc": 21, "roc_auc_scor": [21, 39, 47], "roc_lr": 21, "roc_svc": 21, "970": [21, 29, 55], "938": [21, 28, 54], "rank": [21, 25, 29, 32, 47, 51, 55], "imbalanc": [21, 22, 30, 47, 48, 56], "precisionrecallcurvedisplai": 21, "roccurvedisplai": [21, 39, 47], "roc_auc": 21, "average_precis": 21, "625136": 21, "046814": 21, "999182": 21, "714290": 21, "601712": 21, "881915": 21, "test_roc_auc": 21, "967228": 21, "test_average_precis": 21, "744074": 21, "drastic": [21, 47], "10x": [21, 47], "problemat": [21, 24, 32, 47, 50], "penalti": [21, 55, 57], "l2": [21, 24, 26, 29, 32, 50, 55], "dual": 21, "tol": [21, 25, 51], "fit_intercept": 21, "intercept_sc": 21, "solver": [21, 51], "lbfg": 21, "multi_class": [21, 30, 56], "warm_start": 21, "l1_ratio": 21, "class_label": 21, "650": 21, "plot_confusion_matrix": [21, 47], "pipe_lr_weight": [21, 47], "bincount": [21, 23, 41, 47, 49], "compute_class_weight": [21, 47], "pipe_lr_balanc": [21, 39, 47], "comp_dict": 21, "orig_scor": 21, "bal_scor": 21, "528339": 21, "452852": 21, "040794": 21, "037760": 21, "973210": 21, "101817": 21, "891001": 21, "054009": 21, "970505": 21, "730368": 21, "kfold": 21, "preserv": [21, 26, 52], "api": [21, 29, 31, 55], "resampl": 21, "imblearn": 21, "make_imb_pipelin": 21, "under_sampl": 21, "randomundersampl": 21, "x_train_subsampl": 21, "y_train_subsampl": 21, "fit_resampl": 21, "139554": 21, "474": [21, 25], "counter": 21, "class_sep": 21, "n_inform": 21, "n_redund": 21, "flip_i": 21, "n_clusters_per_class": 21, "x_re": 21, "y_re": 21, "undersample_pip": 21, "025596": 21, "011598": 21, "971288": 21, "414427": 21, "over_sampl": 21, "randomoversampl": 21, "ro": 21, "x_train_oversampl": 21, "y_train_oversampl": 21, "278634": 21, "139317": 21, "oversample_pip": 21, "203149": 21, "013245": 21, "961599": 21, "714913": 21, "augment": 21, "prove": [21, 38], "handwritten": 21, "introduc": 21, "nearest": [21, 27, 36, 53, 59], "caus": [21, 24, 25, 32, 50, 51], "sampling_strategi": 21, "k_neighbor": 21, "m_neighbor": 21, "out_step": 21, "svm_estim": 21, "ratio": [21, 23, 49], "smote_pip": 21, "350517": 21, "010196": 21, "963134": 21, "733030": 21, "anomali": [21, 22, 26, 48, 52], "illus": [21, 38, 39], "seemingli": [21, 39], "unbias": [21, 39], "inher": [21, 29, 31, 39, 55], "amplifi": [21, 29, 39, 55], "inequ": [21, 39], "societi": [21, 29, 39, 55], "quantifi": 21, "adult": [21, 23, 24, 39, 49, 50], "census_df": [21, 39], "32561": 21, "workclass": [21, 23, 24, 39, 49, 50], "fnlwgt": [21, 23, 24, 39, 49, 50], "educ": [21, 23, 24, 39, 49, 50], "num": [21, 23, 24, 39, 49, 50], "marit": [21, 23, 24, 39, 49, 50], "occup": [21, 23, 24, 39, 49, 50], "capit": [21, 23, 24, 39, 49, 50], "25823": 21, "245521": 21, "7th": [21, 23, 24, 39, 49, 50], "8th": [21, 23, 24, 39, 49, 50], "civ": [21, 24, 49, 50], "spous": [21, 24, 49, 50], "farm": 21, "fish": 21, "husband": [21, 24, 49, 50], "male": [21, 24, 32, 39, 49, 50], "mexico": 21, "50k": [21, 23, 24, 39, 49, 50], "10274": 21, "134287": 21, "assoc": [21, 23, 24, 39, 49, 50], "voc": [21, 23, 24, 39, 49, 50], "child": [21, 24, 29, 38, 50, 55], "femal": [21, 24, 32, 39, 49, 50], "27652": 21, "gov": [21, 23, 24, 49, 50], "109526": 21, "hs": [21, 23, 24, 39, 49, 50], "grad": [21, 23, 24, 39, 49, 50], "craft": [21, 24, 26, 49, 50, 52, 59], "repair": [21, 24, 49, 50], "13941": 21, "131275": 21, "amer": 21, "indian": [21, 37], "eskimo": 21, "31384": 21, "193122": 21, "inspct": 21, "29802": 21, "410240": 21, "5390": 21, "146767": 21, "prof": [21, 23, 24, 39, 49, 50], "specialti": [21, 24, 49, 50], "feder": [21, 31, 55], "238192": 21, "1887": 21, "15795": 21, "154076": 21, "colleg": [21, 23, 24, 39, 49, 50], "adm": [21, 24, 49, 50], "cleric": [21, 24, 49, 50], "23654": 21, "162667": 21, "handler": 21, "cleaner": 21, "portug": 21, "19536": 21, "train_df_nan": [21, 23, 24, 39, 49, 50], "test_df_nan": [21, 23, 24, 39, 49, 50], "ordinal_featur": [21, 23, 24, 39, 49, 50], "binary_featur": [21, 23, 24, 39, 49, 50], "drop_featur": [21, 22, 23, 24, 25, 31, 32, 39, 48, 49, 50, 51], "11th": [21, 23, 24, 39, 49, 50], "5th": [21, 23, 24, 39, 49, 50], "acdm": [21, 23, 24, 39, 49, 50], "9th": [21, 23, 24, 39, 49, 50], "doctor": [21, 23, 24, 28, 39, 49, 50], "preschool": [21, 23, 24, 39, 49, 50], "education_level": [21, 23, 24, 39, 49, 50], "ordinal_transform": [21, 23, 24, 39, 49, 50], "fill_valu": [21, 22, 23, 24, 31, 37, 39, 48, 49, 50], "binary_transform": [21, 23, 24, 37, 39, 49, 50], "14841": 21, "4695": 21, "x_train_enc": [21, 22, 24, 31, 32, 39, 48, 50], "x0_male": 21, "14160": 21, "280618": 21, "27048": 21, "439779": 21, "28868": 21, "204734": 21, "5667": 21, "107991": 21, "7827": 21, "54152": 21, "x_femal": [21, 39], "x_male": [21, 39], "y_femal": [21, 39], "y_male": [21, 39], "female_pr": [21, 39], "male_pr": [21, 39], "3851": 21, "463": 21, "4314": 21, "6028": 21, "2683": 21, "8711": 21, "female_cm": 21, "male_cm": 21, "compani": [21, 25, 28, 29, 32, 39, 51, 54, 55, 58], "loan": [21, 24, 39], "approv": [21, 39, 57], "reject": [21, 24, 39], "Will": [21, 25, 32, 39, 42, 51], "unqualifi": [21, 39], "detriment": [21, 39], "disciplin": [21, 25, 47, 51], "dog": [21, 30, 36, 47, 56], "blindli": [21, 22], "sole": [21, 27, 52, 53, 58], "anim": [21, 30, 36, 38, 56], "holdout": 21, "reus": 21, "transformedtargetregressor": [22, 25, 42, 48, 51], "randomforestregressor": [22, 23, 24, 25, 31, 32, 42, 48, 49, 50, 51], "make_scor": [22, 25, 42, 48, 51], "mean_squared_error": [22, 25, 42, 48, 51], "r2_score": [22, 25, 42, 48, 49, 51], "simplefilt": [22, 23, 24, 48, 49, 50], "tonight": [22, 48], "somewhat": [22, 48], "coeffici": [22, 23, 25, 28, 30, 31, 32, 48, 49, 51, 54, 56], "log": [22, 23, 32, 33, 37, 49, 52], "pos_label": 22, "salepric": [22, 24, 48, 50], "oppos": [22, 23, 48, 49, 58], "1314": [22, 24, 48], "mssubclass": [22, 24, 48, 50], "lotfrontag": [22, 24, 48, 50], "lotarea": [22, 24, 48, 50], "overallqu": [22, 24, 48, 50], "overallcond": [22, 24, 48, 50], "yearbuilt": [22, 24, 48, 50], "yearremodadd": [22, 24, 48, 50], "masvnrarea": [22, 24, 48, 50], "bsmtfinsf1": [22, 24, 48, 50], "wooddecksf": [22, 24, 48, 50], "openporchsf": [22, 24, 48, 50], "enclosedporch": [22, 24, 48, 50], "3ssnporch": [22, 24, 48, 50], "screenporch": [22, 24, 48, 50], "poolarea": [22, 24, 48, 50], "miscval": [22, 24, 48, 50], "mosold": [22, 24, 48, 50], "yrsold": [22, 24, 48, 50], "1089": [22, 48], "1307": [22, 48], "182648": [22, 48], "472603": [22, 48], "641873": [22, 48], "10273": [22, 48], "261035": [22, 48], "076104": [22, 48], "570015": [22, 48], "995434": [22, 48], "1984": [22, 48], "659056": [22, 48], "441": [22, 48], "425419": [22, 48], "281583": [22, 48], "765601": [22, 48], "726788": [22, 48], "624049": [22, 48], "987062": [22, 48], "065449": [22, 48], "951294": [22, 48], "302131": [22, 48], "2007": [22, 31, 48], "840183": [22, 48], "179802": [22, 48], "147641": [22, 48], "422": [22, 48, 56], "224662": [22, 48], "036646": [22, 48], "031794": [22, 48], "8997": [22, 48], "895541": [22, 48], "392612": [22, 48], "112848": [22, 48], "198127": [22, 48], "639754": [22, 48], "301563": [22, 48], "459": [22, 37, 48], "276687": [22, 48], "436492": [22, 48], "757545": [22, 48], "766423": [22, 48], "320430": [22, 48], "854129": [22, 48], "341109": [22, 48], "522": [22, 48], "283421": [22, 48], "698206": [22, 48], "332824": [22, 48], "79041": [22, 48], "260572": [22, 48], "1300": [22, 48, 50], "1872": [22, 48], "1950": [22, 48], "2006": [22, 33, 48, 50], "34900": [22, 48], "369": [22, 48], "7500": [22, 28, 48, 54], "1966": [22, 48], "129600": [22, 48], "735": [22, 48], "9391": [22, 48], "1972": [22, 48], "1993": [22, 48], "2008": [22, 31, 48, 50], "162000": [22, 48], "1099": [22, 48], "11509": [22, 48], "2004": [22, 48], "168": [22, 41, 48], "2009": [22, 31, 48], "212975": [22, 48], "1460": [22, 48], "313": [22, 40, 41, 48], "215245": [22, 48], "2010": [22, 24, 31, 38, 48], "1378": [22, 48], "5644": [22, 48], "480": [22, 48], "15500": [22, 48], "755000": [22, 48], "302": [22, 24, 40, 41, 48, 50], "mszone": [22, 24, 48, 50], "street": [22, 24, 48, 50], "allei": [22, 24, 48, 50], "lotshap": [22, 24, 48, 50], "landcontour": [22, 24, 48, 50], "lotconfig": [22, 24, 48, 50], "landslop": [22, 24, 48, 50], "condition1": [22, 24, 48, 50], "condition2": [22, 24, 48, 50], "bldgtype": [22, 24, 48, 50], "housestyl": [22, 24, 48, 50], "roofstyl": [22, 24, 48, 50], "roofmatl": [22, 24, 48, 50], "exterior1st": [22, 24, 48, 50], "exterior2nd": [22, 24, 48, 50], "masvnrtyp": [22, 24, 48, 50], "exterqu": [22, 24, 48, 50], "extercond": [22, 24, 48, 50], "bsmtqual": [22, 24, 48, 50], "bsmtcond": [22, 24, 48, 50], "bsmtexposur": [22, 24, 48, 50], "1279": [22, 48], "bsmtfintype1": [22, 24, 48, 50], "bsmtfintype2": [22, 24, 48, 50], "bsmtfinsf2": [22, 24, 48, 50], "bsmtunfsf": [22, 24, 48, 50], "totalbsmtsf": [22, 24, 48, 50], "heatingqc": [22, 24, 48, 50], "centralair": [22, 24, 48, 50], "electr": [22, 24, 48, 50], "1313": [22, 28, 48, 54], "1stflrsf": [22, 24, 48, 50], "2ndflrsf": [22, 24, 48, 50], "lowqualfinsf": [22, 24, 48, 50], "grlivarea": [22, 24, 48, 50], "bsmtfullbath": [22, 24, 48, 50], "bsmthalfbath": [22, 24, 48, 50], "fullbath": [22, 24, 48, 50], "halfbath": [22, 24, 48, 50], "bedroomabvgr": [22, 24, 48, 50], "kitchenabvgr": [22, 24, 48, 50], "kitchenqu": [22, 24, 48, 50], "totrmsabvgrd": [22, 24, 48, 50], "fireplac": [22, 24, 48, 50], "fireplacequ": [22, 24, 48, 50], "687": [22, 48], "garagetyp": [22, 24, 48, 50], "1241": [22, 25, 48], "garageyrblt": [22, 24, 48, 50], "garagefinish": [22, 24, 48, 50], "garagecar": [22, 24, 48, 50], "garagearea": [22, 24, 48, 50], "garagequ": [22, 24, 48, 50], "garagecond": [22, 24, 48, 50], "paveddr": [22, 24, 48, 50], "poolqc": [22, 24, 48, 50], "fenc": [22, 24, 30, 48, 50], "259": [22, 48, 49, 51], "miscfeatur": [22, 24, 48, 50], "saletyp": [22, 24, 48, 50], "salecondit": [22, 24, 48, 50], "841": [22, 48, 56], "profil": 22, "profilereport": 22, "to_notebook_ifram": 22, "ordin": [22, 30, 44, 48, 56], "truli": [22, 29, 38, 55], "descript": [22, 25, 32, 51, 58, 59], "numeric_looking_column": [22, 48], "select_dtyp": [22, 48], "dwell": [22, 48], "newer": [22, 48], "style": [22, 25, 26, 28, 29, 30, 41, 48, 51, 52, 54, 55, 56], "1945": [22, 48], "older": [22, 48], "attic": [22, 48], "multi": [22, 24, 26, 29, 31, 47, 48, 50, 52, 55], "foyer": [22, 48], "duplex": [22, 48], "pud": [22, 48], "150": [22, 28, 30, 34, 36, 43, 46, 48, 54, 56], "multilevel": [22, 48], "incl": [22, 48], "lev": [22, 48], "fa": [22, 24, 48, 50], "gd": [22, 24, 48, 50], "ex": [22, 24, 48, 50], "ordinal_features_reg": [22, 24, 48, 50], "ordinal_features_oth": [22, 24, 48, 50], "ordering_ordinal_reg": [22, 24, 48, 50], "ordering_ordinal_oth": [22, 24, 48, 50], "na": [22, 24, 28, 48, 50], "mn": [22, 24, 48, 50], "av": [22, 24, 48, 50, 55], "unf": [22, 24, 48, 50], "lwq": [22, 24, 48, 50], "rec": [22, 24, 28, 48, 50], "blq": [22, 24, 48, 50], "alq": [22, 24, 48, 50], "glq": [22, 24, 48, 50], "sal": [22, 24, 48, 50], "sev": [22, 24, 48, 50], "maj2": [22, 24, 48, 50], "maj1": [22, 24, 48, 50], "mod": [22, 24, 48, 50], "min2": [22, 24, 48, 50], "min1": [22, 24, 48, 50], "typ": [22, 24, 48, 50], "mnww": [22, 24, 48, 50], "gdwo": [22, 24, 48, 50], "mnprv": [22, 24, 48, 50], "gdprv": [22, 24, 48, 50], "foot": [22, 24, 48, 50], "ordinal_transformer_reg": [22, 24, 48, 50], "ordinal_transformer_oth": [22, 24, 48, 50], "ohe_column": [22, 24, 48, 50], "new_column": [22, 24, 31, 32, 48, 50], "saletype_conlw": 22, "saletype_new": 22, "saletype_oth": 22, "saletype_wd": [22, 48], "electrical_fusea": 22, "electrical_fusef": 22, "electrical_fusep": 22, "electrical_mix": 22, "electrical_sbrkr": 22, "electrical_miss": 22, "154795": [22, 24, 48, 50], "222647": [22, 24, 48, 50], "312501": [22, 24, 48, 50], "381428": [22, 24, 48, 50], "663680": [22, 24, 48, 50], "512408": [22, 24, 48, 50], "993969": [22, 24, 48, 50], "840492": [22, 24, 48, 50], "269972": [22, 24, 48, 50], "961498": [22, 24, 48, 50], "767": [22, 24, 34, 48, 50], "372763": [22, 24, 48, 50], "260890": [22, 24, 48, 50], "248457": [22, 24, 48, 50], "054669": [22, 24, 48, 50], "285467": [22, 24, 48, 50], "026793": [22, 24, 48, 50], "016525": [22, 24, 48, 50], "573129": [22, 24, 48, 50], "476092": [22, 24, 48, 50], "429": [22, 24, 48], "885044": [22, 24, 48], "131607": [22, 24, 48], "563314": [22, 24, 48], "161931": [22, 24, 48], "227559": [22, 24, 48], "1139": [22, 24, 48], "358264": [22, 24, 48], "171468": [22, 24, 48], "773017": [22, 24, 48], "689338": [22, 24, 48], "679877": [22, 24, 48], "443419": [22, 24, 48], "558": [22, 24, 48, 51], "597924": [22, 24, 48], "289541": [22, 24, 48], "828332": [22, 24, 48], "598149": [22, 24, 48], "354114": [22, 24, 48], "262": [22, 24, 48, 50], "263": 22, "outlier": [22, 27, 37, 48, 53], "exploratori": 22, "001178": 22, "000296": [22, 36], "003547": [22, 48], "000589": 22, "000204": 22, "001266": [22, 48], "000532": 22, "000197": 22, "011767": [22, 48], "000585": 22, "000215": [19, 22], "006744": [22, 48], "000525": 22, "000189": [22, 56], "076533": [22, 48], "000524": 22, "000205": 22, "003133": [22, 48], "000518": 22, "000187": [22, 36], "000397": [22, 48], "000548": 22, "003785": [22, 36, 48], "000515": 22, "000186": 22, "001740": [22, 44, 48], "000517": 22, "000188": 22, "000117": [22, 48], "ordinari": 22, "224865": [22, 24, 48, 50], "34161762": [22, 24, 48, 50], "65243": [22, 48], "29045704": [22, 48], "133337": [22, 48], "46729488": [22, 48], "250900": [22, 48], "65424895": [22, 48], "128984": [22, 48], "32127053": [22, 48], "205597": [22, 48], "8361313": [22, 48], "334576": [22, 48], "71199006": [22, 48], "158982": [22, 48], "72345029": 22, "148343": [22, 48], "09009799": [22, 48], "129257": [22, 48], "94933723": [22, 48], "411412": 22, "6718650304": 22, "38853": 22, "27502379066": 22, "largest": [22, 48], "191169": [22, 24, 48, 50], "0717446893": 22, "83603": [22, 24, 48, 50], "0131199604": 22, "lr_pipe": [22, 24, 31, 48, 50], "028890": 22, "005978": 22, "862432": [22, 48], "911846": [22, 48], "027618": 22, "005765": 22, "812363": [22, 48], "913849": [22, 48], "025527": 22, "006600": 22, "775270": [22, 48], "915952": [22, 48], "025537": 22, "005596": 22, "874532": [22, 48], "910843": [22, 48], "026065": 22, "005624": 22, "852104": [22, 48], "911615": [22, 48], "024473": 22, "005501": 22, "826142": [22, 48], "910174": [22, 48], "025475": 22, "005876": 22, "825697": [22, 48], "913767": [22, 48], "025521": 22, "005527": 22, "873704": [22, 48], "910018": [22, 48], "024918": 22, "005524": 22, "196599": [22, 48], "921438": [22, 48], "026598": 22, "005554": 22, "890457": [22, 48], "908215": [22, 48], "dropdroppipelin": [22, 48], "lotshape_ir1": [22, 24, 50], "lotshape_ir2": [22, 24, 50], "lotshape_ir3": [22, 24, 50], "lotshape_reg": [22, 24, 50], "garagefinish_fin": 22, "garagefinish_rfn": 22, "garagefinish_unf": [22, 48], "garagefinish_miss": 22, "salecondition_abnorml": 22, "salecondition_adjland": 22, "salecondition_alloca": 22, "salecondition_famili": 22, "salecondition_norm": 22, "salecondition_parti": 22, "paveddrive_n": 22, "paveddrive_p": 22, "paveddrive_i": 22, "housestyle_1": 22, "5fin": 22, "5unf": 22, "housestyle_1stori": 22, "housestyle_2": 22, "housestyle_2stori": 22, "housestyle_sfoy": 22, "housestyle_slvl": 22, "bldgtype_1fam": 22, "bldgtype_2fmcon": 22, "bldgtype_duplex": 22, "bldgtype_twnh": 22, "bldgtype_twnhs": 22, "centralair_n": 22, "centralair_i": 22, "miscfeature_gar2": 22, "miscfeature_othr": 22, "miscfeature_sh": 22, "miscfeature_tenc": 22, "miscfeature_miss": 22, "utilities_allpub": [22, 50], "utilities_nosewa": [22, 50], "mssubclass_20": 22, "mssubclass_30": 22, "mssubclass_40": 22, "mssubclass_45": 22, "mssubclass_50": 22, "mssubclass_60": 22, "mssubclass_70": 22, "mssubclass_75": 22, "mssubclass_80": 22, "mssubclass_85": 22, "mssubclass_90": 22, "mssubclass_120": 22, "mssubclass_160": 22, "mssubclass_180": 22, "mssubclass_190": 22, "garagetype_2typ": 22, "garagetype_attchd": 22, "garagetype_bas": 22, "garagetype_builtin": 22, "garagetype_carport": 22, "garagetype_detchd": 22, "garagetype_miss": 22, "street_grvl": 22, "street_pav": 22, "alley_grvl": 22, "alley_pav": 22, "alley_miss": 22, "mszoning_c": [22, 24, 50], "mszoning_fv": [22, 24], "mszoning_rh": [22, 24], "mszoning_rl": [22, 24], "mszoning_rm": [22, 24], "lotconfig_corn": 22, "lotconfig_culdsac": 22, "lotconfig_fr2": 22, "lotconfig_fr3": 22, "lotconfig_insid": 22, "landslope_gtl": [22, 24, 50], "landslope_mod": [22, 24, 50], "landslope_sev": [22, 24, 50], "condition2_arteri": 22, "condition2_feedr": 22, "condition2_norm": 22, "condition2_posa": [22, 48], "condition2_posn": [22, 24, 48, 50], "condition2_rra": [22, 48], "condition2_rran": 22, "condition2_rrnn": 22, "neighborhood_blmngtn": 22, "neighborhood_bluest": 22, "neighborhood_brdal": 22, "neighborhood_brksid": 22, "neighborhood_clearcr": 22, "neighborhood_collgcr": [22, 48], "neighborhood_crawfor": 22, "neighborhood_edward": [22, 48], "neighborhood_gilbert": [22, 48], "neighborhood_idotrr": 22, "neighborhood_meadowv": 22, "neighborhood_mitchel": 22, "neighborhood_nam": 22, "neighborhood_npkvil": 22, "neighborhood_nwam": 22, "neighborhood_noridg": [22, 48], "neighborhood_nridght": [22, 24, 48, 50], "neighborhood_oldtown": 22, "neighborhood_swisu": 22, "neighborhood_sawy": 22, "neighborhood_sawyerw": 22, "neighborhood_somerst": 22, "neighborhood_stonebr": [22, 24, 50], "neighborhood_timb": 22, "neighborhood_veenk": 22, "roofmatl_clytil": [22, 24, 48, 50], "roofmatl_compshg": [22, 24, 48, 50], "roofmatl_membran": [22, 48], "roofmatl_met": [22, 48], "roofmatl_rol": 22, "roofmatl_tar": 22, "grv": 22, "roofmatl_wdshak": 22, "roofmatl_wdshngl": [22, 24, 48, 50], "condition1_arteri": 22, "condition1_feedr": 22, "condition1_norm": 22, "condition1_posa": 22, "condition1_posn": 22, "condition1_rra": 22, "condition1_rran": 22, "condition1_rrn": 22, "condition1_rrnn": 22, "landcontour_bnk": [22, 48, 50], "landcontour_hl": [22, 50], "landcontour_low": [22, 50], "landcontour_lvl": [22, 50], "mosold_1": 22, "mosold_2": 22, "mosold_3": [22, 48], "mosold_4": [22, 48], "mosold_5": [22, 48], "mosold_6": [22, 48], "mosold_7": [22, 48], "mosold_8": [22, 48], "mosold_9": [22, 48], "mosold_10": [22, 48], "mosold_11": [22, 48], "mosold_12": [22, 48], "roofstyle_flat": 22, "roofstyle_g": [22, 48], "roofstyle_gambrel": 22, "roofstyle_hip": 22, "roofstyle_mansard": 22, "roofstyle_sh": 22, "exterior1st_asbshng": 22, "exterior1st_asphshn": 22, "exterior1st_brkcomm": 22, "exterior1st_brkfac": 22, "exterior1st_cblock": 22, "exterior1st_cemntbd": 22, "exterior1st_hdboard": 22, "exterior1st_imstucc": [22, 24, 48, 50], "exterior1st_metalsd": 22, "exterior1st_plywood": 22, "exterior1st_ston": 22, "exterior1st_stucco": 22, "exterior1st_vinylsd": 22, "exterior1st_wd": 22, "sdng": 22, "exterior1st_wdsh": 22, "exterior2nd_asbshng": 22, "exterior2nd_asphshn": 22, "exterior2nd_brk": 22, "cmn": 22, "exterior2nd_brkfac": 22, "exterior2nd_cblock": 22, "exterior2nd_cmentbd": 22, "exterior2nd_hdboard": 22, "exterior2nd_imstucc": 22, "exterior2nd_metalsd": 22, "exterior2nd_oth": 22, "exterior2nd_plywood": 22, "exterior2nd_ston": 22, "exterior2nd_stucco": 22, "exterior2nd_vinylsd": 22, "exterior2nd_wd": 22, "shng": 22, "heating_floor": 22, "heating_gasa": 22, "heating_gasw": 22, "heating_grav": 22, "heating_othw": [22, 24, 48, 50], "heating_wal": 22, "foundation_brktil": 22, "foundation_cblock": [22, 48], "foundation_pconc": 22, "foundation_slab": 22, "foundation_ston": 22, "foundation_wood": 22, "masvnrtype_brkcmn": 22, "masvnrtype_brkfac": 22, "masvnrtype_ston": 22, "masvnrtype_miss": 22, "saletype_cod": 22, "saletype_cwd": 22, "saletype_con": 22, "saletype_conld": 22, "saletype_conli": 22, "annoyingli": [22, 48], "vice": [22, 48], "versa": [22, 48], "ridge__alpha": [22, 48], "semilogx": [22, 48], "best_alpha": [22, 48], "7951559890417762": 22, "pipe_bigalpha": [22, 48], "bigalpha_coeff": [22, 48], "9691": [22, 48], "378159": [22, 48], "7816": [22, 48], "490033": [22, 48], "5931": [22, 48], "401623": [22, 48], "5209": [22, 48], "377032": [22, 48], "5057": [22, 48], "215412": [22, 48], "1214": [22, 48], "532034": [22, 48], "1281": [22, 48], "596864": [22, 48], "1766": [22, 48], "048889": [22, 48], "1985": [22, 48], "253914": [22, 48], "2623": [22, 48], "509001": [22, 48], "pipe_smallalpha": [22, 48], "smallalpha_coeff": [22, 48], "128384": [22, 48], "117412": [22, 48], "127326": [22, 48], "497787": [22, 48], "106023": [22, 48], "481515": 22, "83437": [22, 48], "787574": [22, 48], "70568": [22, 48], "838951": [22, 48], "34441": [22, 48], "626206": [22, 48], "34806": [22, 48], "290424": [22, 48], "63362": [22, 48], "335309": [22, 48], "194985": [22, 48], "470060": [22, 48], "582469": [22, 48], "424221": [22, 48], "pipe_bestalpha": [22, 48], "bestalpha_coeff": [22, 48], "14485": [22, 48], "526602": [22, 48], "11693": [22, 48], "792577": [22, 48], "9661": [22, 48], "926657": [22, 48], "9492": [22, 48], "921850": [22, 48], "8076": [22, 48], "988901": [22, 48], "3991": [22, 48], "413796": [22, 48], "5002": [22, 28, 48, 54], "470666": [22, 48], "5212": [22, 48], "984664": [22, 48], "5461": [22, 48], "450739": [22, 48], "5789": [22, 34, 48], "889086": [22, 48], "ridgecv_pip": [22, 48], "alpha_": [22, 48], "ridge_tun": [22, 48], "ridge_pr": [22, 48], "228603": [22, 48], "06797961": [22, 48], "104643": [22, 48], "99931883": [22, 48], "155624": [22, 48], "61029914": [22, 48], "246332": [22, 48], "07245741": [22, 48], "127614": [22, 48], "33726089": [22, 48], "243243": [22, 48], "60429913": [22, 48], "304784": [22, 48], "87844893": [22, 48], "145425": [22, 48], "67512181": [22, 48], "157008": [22, 48], "6526853": [22, 48], "128528": [22, 48], "91515735": [22, 48], "390725": 22, "7472092075": 22, "30815": 22, "281220255296": 22, "anymor": [22, 26, 28, 48, 52, 54], "1041": [22, 24, 25, 31, 48, 51], "1122": [22, 24, 25, 48], "bool": [22, 31, 34, 38, 40, 41, 48], "160000": [22, 50], "175000": 22, "262500": 22, "133000": 22, "131000": 22, "212870": 22, "41150573": 22, "178494": 22, "22221894": 22, "189981": 22, "34426571": 22, "245329": 22, "56804591": 22, "129904": 22, "71327467": 22, "135422": 22, "67672595": 22, "872961060": [22, 48], "7986535": 22, "billion": [22, 48], "cent": [22, 48], "8729610607986": [22, 48], "533": 22, "29545": [22, 48], "91445189425": 22, "weird": [22, 28, 48, 54], "perhap": [22, 30, 31, 48], "y_i": [22, 23, 25, 28, 48, 49, 51, 54], "denomin": [22, 25, 48, 51], "varianc": [22, 24, 27, 31, 48, 50, 52, 53], "unexplain": [22, 48], "8601643854446084": 22, "8280229354283186": 22, "600k": [22, 48], "60k": [22, 48], "terribl": [22, 28, 33, 38, 48, 54], "percent": [22, 48], "pred_train": [22, 48], "percent_error": [22, 48], "839225": [22, 48], "558889": [22, 48], "560768": [22, 48], "405650": [22, 48], "194710": 22, "496213": 22, "624615": 22, "541117": 22, "327283": 22, "376089": 22, "my_map": [22, 48], "10092665203438769": 22, "mean_absolute_percentage_error": [22, 48], "skew": [22, 48], "log10": [22, 48], "ttr": [22, 48], "log1p": [22, 48], "inverse_func": [22, 48], "expm1": [22, 48], "ttr_pipe": [22, 48], "ufunc": [22, 48], "transformedtargetregressortransformedtargetregressor": [22, 48], "ridgeridg": [22, 25, 48], "un": [22, 32, 48], "221329": [22, 48], "43833466": [22, 48], "170670": [22, 48], "12761659": [22, 48], "182639": [22, 48], "31984311": [22, 48], "248609": [22, 48], "60023631": [22, 48], "132158": [22, 48], "15026771": [22, 48], "133270": [22, 48], "71866979": [22, 48], "07808506982896254": 22, "biggest": [22, 25, 51], "neg_mean_squared_error": [22, 48], "026120": 22, "006816": 22, "055915e": [22, 48], "379875e": [22, 48], "024906": 22, "007267": 22, "239944e": [22, 48], "264283e": [22, 48], "024179": 22, "007524": 22, "125440e": [22, 48], "758062e": [22, 48], "023939": 22, "006499": 22, "801219e": [22, 48], "849438e": [22, 48], "024087": 22, "006732": 22, "267612e": [22, 48], "395282e": [22, 48], "mape_scor": [22, 48], "greater_is_bett": [22, 48], "024398": 22, "006702": 22, "096960": [22, 48], "104070": [22, 48], "027555": 22, "007023": 22, "107985": [22, 48], "099685": [22, 48], "023322": 22, "006587": 22, "118347": [22, 48], "101796": [22, 48], "025249": 22, "006643": 22, "107947": [22, 48], "023129": 22, "006506": 22, "121985": [22, 48], "098307": [22, 48], "score_func": [22, 48], "latter": [22, 48], "r2": [22, 23, 35, 48, 49], "neg_mean_absolute_percentage_error": [22, 48], "neg_root_mean_square_error": [22, 48], "neg_root_mean_squared_error": [22, 48], "713084e": 22, "348495e": 22, "353811e": 22, "354980e": 22, "490115e": 22, "678986e": 22, "263899e": 22, "298708e": 22, "651091e": 22, "533073e": 22, "test_r2": [22, 48], "669805e": [22, 48], "200326e": [22, 48], "262156e": [22, 48], "514598e": [22, 48], "110915e": [22, 48], "train_r2": [22, 48], "551862e": [22, 48], "636849e": [22, 48], "580539e": [22, 48], "561645e": [22, 48], "834356e": [22, 48], "test_mape_scor": [22, 48], "696034e": [22, 48], "079852e": [22, 48], "183471e": [22, 48], "079471e": [22, 48], "219845e": [22, 48], "train_mape_scor": [22, 48], "040698e": [22, 48], "968514e": [22, 48], "017959e": [22, 48], "024351e": [22, 48], "830712e": [22, 48], "test_sklearn": [22, 48], "train_sklearn": [22, 48], "test_neg_root_mean_square_error": [22, 48], "656297e": [22, 48], "521284e": [22, 48], "354759e": [22, 48], "130690e": [22, 48], "761945e": [22, 48], "train_neg_root_mean_square_error": [22, 48], "062658e": [22, 48], "874767e": [22, 48], "959402e": [22, 48], "974801e": [22, 48], "719427e": [22, 48], "test_neg_mean_squared_error": [22, 48], "train_neg_mean_squared_error": [22, 48], "param_ridge__alpha": [22, 48], "101259": [22, 48], "111543": [22, 48], "096462": [22, 48], "090785": [22, 48], "085698": [22, 48], "085508": [22, 48], "085546": [22, 48], "08555": [22, 48], "085551": [22, 48], "203421": [22, 48], "33213": [22, 48], "110645": [22, 48], "115401": [22, 48], "116497": [22, 48], "122331": [22, 48], "125644": [22, 48], "127242": [22, 48], "127418": [22, 48], "127439": [22, 48], "127441": [22, 48], "204692": [22, 48], "33271": [22, 48], "00001": [22, 48], "000001": [22, 46, 48], "044169": 22, "041085": 22, "044295": [22, 48], "050607": 22, "039236": 22, "035071": 22, "037367": 22, "046649": 22, "052672": 22, "069799": 22, "042478": 22, "032924": 22, "refit": [22, 48], "best_estimator_": [22, 48], "search_multi": [22, 48], "rank_test_mape_scor": [22, 48], "split0_test_r2": [22, 48], "split1_test_r2": [22, 48], "split2_test_r2": [22, 48], "split3_test_r2": [22, 48], "mean_test_neg_mean_squared_error": [22, 48], "std_test_neg_mean_squared_error": [22, 48], "rank_test_neg_mean_squared_error": [22, 48], "split0_train_neg_mean_squared_error": [22, 48], "split1_train_neg_mean_squared_error": [22, 48], "split2_train_neg_mean_squared_error": [22, 48], "split3_train_neg_mean_squared_error": [22, 48], "split4_train_neg_mean_squared_error": [22, 48], "mean_train_neg_mean_squared_error": [22, 48], "std_train_neg_mean_squared_error": [22, 48], "039535": 22, "003742": 22, "011913": 22, "003011": 22, "866980": [22, 48], "820033": [22, 48], "826216": [22, 48], "851460": [22, 48], "263742e": [22, 48], "328077e": [22, 48], "529388e": [22, 48], "685103e": [22, 48], "039521": 22, "004809": 22, "012029": 22, "002788": 22, "827261": [22, 48], "786555": [22, 48], "802902": [22, 48], "812272": [22, 48], "362185e": [22, 48], "262269e": [22, 48], "282021e": [22, 48], "156311e": [22, 48], "207814e": [22, 48], "225301e": [22, 48], "029950e": [22, 48], "180279e": [22, 48], "521743e": [22, 48], "037204": 22, "004855": 22, "011907": 22, "002939": 22, "859318": [22, 48], "820564": [22, 48], "832866": [22, 48], "846650": [22, 48], "283119e": [22, 48], "511620e": [22, 48], "034979e": [22, 48], "276943e": [22, 48], "910456e": [22, 48], "701186e": [22, 48], "915714e": [22, 48], "567856e": [22, 48], "155178e": [22, 48], "037038": 22, "008245": 22, "009942": 22, "003876": 22, "835749": [22, 24, 48, 50], "810073": [22, 24, 48, 50], "831611": [22, 24, 48, 50], "843992": [22, 24, 48, 50], "386071e": [22, 48], "378971e": [22, 48], "394113e": [22, 48], "898703e": [22, 48], "405227e": [22, 48], "290961e": [22, 48], "046193e": [22, 48], "207039e": [22, 48], "011269e": [22, 48], "039365": 22, "010348": 22, "013747": 22, "003891": 22, "821807": [22, 48], "792828": [22, 48], "805198": [22, 48], "863941": [22, 48], "465279e": [22, 48], "931439e": [22, 48], "579559e": [22, 48], "009514e": [22, 48], "345386e": [22, 48], "515351e": [22, 48], "846260e": [22, 48], "459214e": [22, 48], "766317e": [22, 48], "043641": 22, "008413": 22, "009649": 22, "001835": 22, "824884": [22, 48], "782183": [22, 48], "787933": [22, 48], "868003": [22, 48], "501304e": [22, 48], "090376e": [22, 48], "522563e": [22, 48], "926733e": [22, 48], "251158e": [22, 48], "446284e": [22, 48], "837022e": [22, 48], "396752e": [22, 48], "014081e": [22, 48], "034559": 22, "006943": 22, "011439": 22, "003445": 22, "826553": [22, 48], "780497": [22, 48], "785399": [22, 48], "868281": [22, 48], "505592e": [22, 48], "117899e": [22, 48], "521578e": [22, 48], "925288e": [22, 48], "249618e": [22, 48], "445124e": [22, 48], "836880e": [22, 48], "395697e": [22, 48], "018459e": [22, 48], "034803": 22, "003166": 22, "009893": 22, "001694": 22, "826739": [22, 48], "780316": [22, 48], "785134": [22, 48], "868305": [22, 48], "506035e": [22, 48], "120769e": [22, 48], "521567e": [22, 48], "925272e": [22, 48], "249601e": [22, 48], "445111e": [22, 48], "836878e": [22, 48], "395686e": [22, 48], "018507e": [22, 48], "035842": 22, "005237": 22, "011238": 22, "004693": 22, "826758": [22, 48], "780298": [22, 48], "785108": [22, 48], "868308": [22, 48], "506079e": [22, 48], "121056e": [22, 48], "035297": 22, "003129": 22, "013451": 22, "003190": 22, "826760": [22, 48], "780296": [22, 48], "785105": [22, 48], "506084e": [22, 48], "121084e": [22, 48], "037244": 22, "007337": 22, "009396": 22, "002154": 22, "593370": [22, 48], "551975": [22, 48], "568663": [22, 48], "557739": [22, 48], "686348e": [22, 48], "316395e": [22, 48], "762093e": [22, 48], "571901e": [22, 48], "662541e": [22, 48], "624450e": [22, 48], "595569e": [22, 48], "643311e": [22, 48], "665351e": [22, 48], "041230": 22, "006415": 22, "010986": 22, "002783": 22, "135384": [22, 48], "113837": [22, 48], "118874": [22, 48], "123367": [22, 48], "442377e": [22, 48], "531116e": [22, 48], "629792e": [22, 48], "271738e": [22, 48], "379416e": [22, 48], "342605e": [22, 48], "498133e": [22, 48], "424337e": [22, 48], "262079e": [22, 48], "09503409246217502": 22, "underpredict": [22, 48, 49], "overpredict": [22, 48, 49], "unitless": [22, 48], "john": [23, 49], "stuart": [23, 49], "mill": [23, 49], "dequ": [23, 24, 49, 50], "perspect": [23, 49], "individu": [23, 26, 29, 32, 34, 37, 49, 52], "wisdom": 23, "crowd": [23, 27, 53], "literatur": [23, 49], "stronger": [23, 49], "industri": [23, 25, 29, 30, 49, 51, 55, 56], "adult_df_larg": [23, 24, 49, 50], "target_column": [23, 24, 32, 49, 50], "757985": [23, 24, 49, 50], "242015": [23, 24, 49, 50], "scoring_metr": [23, 24, 25, 49, 50, 51], "labelencod": [23, 24, 49, 50], "label_encod": [23, 24, 49, 50], "y_train_num": [23, 24, 49, 50], "y_test_num": [23, 24, 49, 50], "pipe_dt": [23, 24, 49, 50], "758": [23, 24, 34, 49, 50], "008": [23, 34, 49], "817": [23, 49], "006": [23, 24, 32, 34, 49, 50], "979": [23, 24, 49, 50], "pipe_rf": [23, 24, 49, 50], "023": [23, 30], "037": 23, "847": [23, 24, 38, 49, 50], "drawn": [23, 49], "random_forest_data": 23, "tree1": 23, "tree2": 23, "tree3": 23, "pipe_rf_demo": [23, 49], "workclass_feder": [23, 24, 50], "workclass_loc": [23, 24, 50], "workclass_nev": [23, 24, 50], "workclass_priv": [23, 24, 50], "1271": [23, 49], "2268": [23, 49], "2447": [23, 49], "2516": [23, 34, 49], "2556": [23, 49], "4151": [23, 49], "4165": [23, 49], "5294": [23, 49], "5798": [23, 49], "5970": [23, 49], "6480": [23, 49], "test_exampl": [23, 49], "transformed_exampl": [23, 49], "flatten": [23, 24, 27, 28, 29, 31, 34, 36, 38, 40, 49, 50, 53, 55], "550004": [23, 49], "147166": [23, 24, 49, 50], "217680": [23, 49], "579660": [23, 49], "country_trinadad": [23, 24, 49, 50], "amp": [23, 24, 34, 49, 50], "tobago": [23, 24, 49, 50], "country_unit": [23, 24, 49, 50], "country_vietnam": [23, 24, 49, 50], "country_yugoslavia": [23, 24, 49, 50], "country_miss": [23, 24, 49, 50], "estimators_": [23, 49], "ntree": 23, "make_num_tree_plot": [23, 49], "beat": [23, 32, 49], "shelf": [23, 29, 49, 55], "heavi": [23, 25, 26, 49, 51], "slower": [23, 26, 34, 49, 52], "easili": [23, 25, 31, 49, 51], "extratreesclassifi": 23, "discrimin": 23, "leo": [23, 49], "breiman": [23, 49], "fashion": [23, 29, 49, 55], "shallow": [23, 49], "_": [23, 25, 26, 28, 30, 49, 51, 54, 55, 56], "i1": [23, 49], "i2": [23, 49], "ik": [23, 49], "procedur": [23, 49], "residu": [23, 34, 49], "interfac": [23, 41, 49], "gpu": [23, 29, 30, 49, 55, 56], "learning_r": [23, 49], "strongli": [23, 49], "scale_pos_weight": [23, 49], "1319796954314723": [23, 49], "gradientboostingclassifi": [23, 49], "gradientboostingregressor": [23, 49], "histgradientboostingclassifi": [23, 49], "histgradientboostingregressor": [23, 49], "catboostclassifi": [23, 49], "xgbclassifi": [23, 24, 49, 50], "class_weight": [23, 49], "pipe_xgb": [23, 24, 49, 50], "pipe_lgbm": [23, 24, 49, 50], "pipe_catboost": [23, 49], "pipe_sklearn_histgb": [23, 49], "pipe_sklearn_gb": [23, 49], "logist": [23, 24, 25, 31, 32, 38, 39, 46, 47, 49, 50], "sklearn_histgb": [23, 49], "sklearn_gb": [23, 49], "deprecationwarn": [23, 49], "007": [23, 25, 34, 46, 49, 51], "849": [23, 24, 49, 50], "004": [23, 24, 30, 43, 46, 49, 50, 51], "844": [23, 28, 49, 54], "419": 23, "870": [23, 24, 49, 50], "898": [23, 24, 49, 50], "022": [23, 34], "872": [23, 24, 49, 50], "701": 23, "092": 23, "895": [23, 49], "106": [23, 28, 37], "035": [23, 30, 34], "887": [23, 49], "highest": [23, 24, 28, 29, 30, 38, 49, 50, 54, 55, 56], "fastest": 23, "whichev": [23, 49], "overus": [23, 49], "mainten": [23, 49], "maintain": [23, 28, 49, 54], "dict_kei": [23, 49], "del": [23, 49], "votingclassifi": [23, 49], "averaging_model": [23, 49], "votingclassifiervotingclassifi": [23, 49], "regressioncolumntransform": [23, 49], "dropdroplogisticregressionlogisticregress": [23, 25, 49], "treecolumntransform": [23, 49], "dropdropdecisiontreeclassifierdecisiontreeclassifi": [23, 49], "forestcolumntransform": [23, 49], "dropdroprandomforestclassifierrandomforestclassifi": [23, 49], "xgboostcolumntransform": [23, 49], "dropdropxgbclassifierxgbclassifi": [23, 49], "base_scor": [23, 49], "booster": [23, 49], "callback": [23, 28, 34, 49], "colsample_bylevel": [23, 49], "colsample_bynod": [23, 49], "colsample_bytre": [23, 49], "early_stopping_round": [23, 49], "enable_categor": [23, 49], "eval_metr": [23, 24, 49, 50], "feature_typ": [23, 49], "gpu_id": [23, 49], "grow_polici": [23, 49], "importance_typ": [23, 49], "interaction_constraint": [23, 49], "max_bin": [23, 49], "max_cat_threshold": [23, 49], "max_cat_to_onehot": [23, 49], "max_delta_step": [23, 49], "max_leav": [23, 49], "min_child_weight": [23, 49], "monotone_constraint": [23, 49], "num_parallel_tre": [23, 49], "lightgbmcolumntransform": [23, 49], "dropdroplgbmclassifierlgbmclassifi": [23, 49], "constitu": [23, 49], "conceptu": [23, 49], "test_g50k": [23, 49], "test_l50k": [23, 49], "r1": [23, 49], "named_estimators_": [23, 49], "663111": 23, "760000": [23, 49], "601041": [23, 49], "685786": [23, 49], "247537": 23, "678924": [23, 49], "513223": [23, 49], "463582": [23, 49], "636616": 23, "621537": [23, 49], "684857": [23, 49], "665882": [23, 49], "616069": 23, "770000": [23, 49], "731338": [23, 49], "683015": [23, 49], "41934687": 23, "58065313": 23, "summat": [23, 49], "sum_prob_ex1_class_0": [23, 49], "096734368958311": 23, "sum_prob_ex1_class_1": [23, 49], "903265631041689": 23, "n_constitu": [23, 49], "41934687379166224": 23, "5806531262083378": 23, "37822156": 23, "62177844": 23, "483": 23, "433": 23, "953": [23, 49], "classifiers_ndt": [23, 49], "averaging_model_ndt": [23, 49], "cross_val": [23, 49], "voting_ndt": [23, 49], "088": [23, 30], "595": 23, "918": [23, 35, 49], "stackingclassifi": [23, 49], "stacking_model": [23, 49], "final_estimator_": [23, 49], "meta": [23, 49], "valid_sample_df": [23, 49], "valid_sample_x": [23, 49], "valid_sample_i": [23, 49], "r4": 23, "_proba": 23, "283186": 23, "780374": 23, "656264": 23, "046732": 23, "120639": 23, "3171738": 23, "26109096": 23, "73890904": 23, "58523477": 23, "41476523": 23, "24218502": 23, "75781498": 23, "20576452": 23, "79423548": 23, "890": [23, 49], "boggl": [23, 38, 49], "stacking_model_tre": [23, 49], "final_estim": [23, 49], "xgbregressor": [23, 49], "catboostregressor": [23, 49], "votingregressor": [23, 49], "stackingregressor": [23, 49], "bonu": [23, 49], "fernandez": [23, 49], "delgado": [23, 49], "et": [23, 29, 49, 52, 55], "al": [23, 29, 49, 52, 55], "179": [23, 49], "seaborn": [24, 25, 26, 27, 28, 50, 51, 52, 53, 54], "sn": [24, 26, 27, 50, 52, 53], "randomforestclassifi": [24, 25, 31, 50, 51], "ridg": [24, 25, 28, 31, 32, 42, 50, 54], "fulli": [24, 27, 50, 51, 53, 58], "oh": [24, 25, 28, 30, 31, 32, 37, 44, 47, 50, 51, 54, 56], "cancel": 24, "heatmap": [24, 46, 50], "unzip": [24, 50], "subdirectori": [24, 50], "025381": [24, 50], "127107": 24, "184405": 24, "165485": 24, "743555": 24, "843281": 24, "090231": 24, "149788": 24, "491366": 24, "310284": 24, "496757": 24, "389065": 24, "168244": 24, "099230": 24, "888961": 24, "314582": 24, "063173": 24, "022331": 24, "203265": 24, "033279": 24, "082835": 24, "467379": 24, "454788": 24, "475099": 24, "386530": 24, "993666": 24, "144686": 24, "032616": 24, "008111": 24, "916722": [24, 50], "026517": 24, "007387": 24, "919198": [24, 50], "023797": 24, "007133": 24, "912395": [24, 50], "024727": 24, "008341": 24, "914003": [24, 50], "024118": 24, "007278": 24, "548831": [24, 50], "920462": [24, 50], "unchang": [24, 50, 60], "uncorrel": [24, 50], "cor": [24, 50], "corr": [24, 50], "font_scal": [24, 50], "annot": [24, 26, 50, 52], "immedi": [24, 28, 37, 50, 54, 57], "hint": [24, 50], "simplist": [24, 29, 50, 55, 59], "intercept": [24, 30, 45, 50, 56], "sum_i": [24, 29, 50, 51, 55], "lr_coef": [24, 31, 32, 50], "3717": 24, "542624": 24, "4552": 24, "332671": 24, "1582": [24, 50], "710031": [24, 50], "5118": [24, 50], "035161": [24, 50], "12498": 24, "401830": 24, "4854": 24, "438906": 24, "4234": 24, "888066": 24, "185155": 24, "5253": 24, "253432": 24, "3681": 24, "749118": 24, "581": 24, "237935": 24, "1273": 24, "072243": 24, "2759": 24, "043319": 24, "6744": 24, "462545": 24, "13407": 24, "646050": 24, "627722": 24, "15992": 24, "080694": 24, "2305": 24, "121599": 24, "215865": 24, "2836": 24, "007434": 24, "easiest": [24, 32, 50], "4236": [24, 50], "969653": [24, 50], "exterior": [24, 50], "sim": [24, 29, 50, 55], "4195": 24, "wow": [24, 50], "one_exampl": [24, 50], "147": [24, 36, 40, 41, 49, 50], "perturb": [24, 27, 37, 50, 53], "one_example_perturb": [24, 50], "229102": [24, 50], "31127015": [24, 50], "96965253": [24, 50], "lr_coefs_landslop": [24, 50], "468": [24, 43, 46, 50], "638169": [24, 50], "7418": [24, 50], "923432": [24, 50], "7887": [24, 50], "561602": [24, 50], "switch": [24, 26, 31, 32, 50, 52], "6950": [24, 50], "285263": [24, 50], "8356": [24, 50], "199771": [24, 50], "6963": 24, "8334": 24, "gtl": [24, 50], "231815": [24, 50], "62688064": [24, 50], "28526302": [24, 50], "071745": [24, 50], "105656": [24, 50], "864205": [24, 50], "27263": [24, 50], "223804": [24, 50], "22001": [24, 50], "877390": [24, 50], "19422": [24, 50], "775311": [24, 50], "34182": [24, 50], "041704": [24, 50], "36525": [24, 50], "193346": [24, 50], "37546": [24, 50], "996765": [24, 50], "39931": [24, 50], "371722": [24, 50], "013120": [24, 50], "roof": [24, 50], "clai": [24, 50], "tile": [24, 50], "191k": [24, 50], "2817": [24, 50], "196385": [24, 50], "2822": 24, "5109": 24, "1578": 24, "sound": [24, 25, 38, 50, 51], "btw": [24, 32], "divis": [24, 50], "lr_scale": [24, 50], "var_": [24, 50], "821040": [24, 50], "218760": [24, 50], "959139": [24, 50], "8994": [24, 50], "471032": [24, 50], "392082": [24, 50], "sqft": [24, 50], "x_test_enc": [24, 31, 32, 50], "one_ex_preprocess": [24, 50], "085415": [24, 50], "66368": [24, 50], "792023": [24, 50], "438592": [24, 50], "orig_pr": [24, 50], "457": [24, 32], "one_ex_preprocessed_perturb": [24, 50], "914585": [24, 50], "03516073": [24, 50], "perturbed_pr": [24, 50], "5690201394302518": 24, "148": [24, 36, 43, 46], "rl": [24, 50], "9505": 24, "pave": [24, 50], "ir1": [24, 50], "lvl": [24, 50], "allpub": [24, 50], "wd": [24, 50], "35671794": 24, "9506": 24, "91063776": 24, "56902014": 24, "uninterpret": [24, 50], "neq": [24, 28, 50, 54], "impress": [24, 50], "healthcar": [24, 50], "crimin": [24, 50], "leverag": [24, 28, 50, 54], "yann": [24, 50], "lecun": [24, 50], "kilian": [24, 50], "weinberg": [24, 50], "patric": [24, 50], "simard": [24, 50], "rich": [24, 32, 50], "caruana": [24, 50], "5514": [24, 49, 50], "256263": [24, 49, 50], "19777": [24, 49, 50], "170277": [24, 49, 50], "servic": [24, 25, 28, 32, 34, 37, 49, 50, 51, 54], "10781": [24, 49, 50], "75826": [24, 49, 50], "divorc": [24, 38, 49, 50], "unmarri": [24, 49, 50], "32240": [24, 49, 50], "24395": [24, 49, 50], "9876": [24, 49, 50], "356689": [24, 49, 50], "tree_numeric_transform": [24, 50], "xgboost": [24, 50], "logloss": [24, 50], "669": 24, "026": 24, "510": 24, "217": [24, 40, 41], "046": [24, 30, 49], "ohe_feature_nam": [24, 31, 50], "workclass_self": [24, 50], "emp": [24, 50], "workclass_st": [24, 50], "workclass_without": [24, 50], "pai": [24, 50], "workclass_miss": [24, 50], "356531": 24, "status_marri": [24, 50], "af": [24, 50], "741562": 24, "occupation_priv": [24, 50], "420671": 24, "327308": 24, "relationship_wif": [24, 50], "268302": 24, "country_columbia": [24, 50], "082248": 24, "occupation_prof": [24, 50], "067944": 24, "occupation_exec": [24, 50], "manageri": [24, 50], "044826": 24, "relationship_own": [24, 50], "009961": 24, "country_dominican": [24, 50], "republ": [24, 50], "008462": 24, "todens": [24, 25, 29, 50, 51, 55], "corr_df": [24, 50], "arbitrari": [24, 26, 27, 31, 50, 52, 53], "high_corr": [24, 50], "occupation_miss": [24, 50], "relationship_husband": [24, 50], "9977957422135846": [24, 50], "8937442459553657": [24, 50], "investig": [24, 50, 58, 59], "colinear": [24, 50], "inflat": [24, 50], "vif": [24, 50], "561": [24, 25, 43, 46], "agnost": [24, 50], "permut": [24, 50], "543351": [24, 50], "294855": [24, 50], "160727": [24, 50], "001068": [24, 50], "country_guatemala": [24, 50], "country_iran": [24, 50], "country_india": [24, 50], "country_hungari": [24, 50], "country_hong": [24, 50], "country_hondura": [24, 50], "inspect": [24, 27, 50, 53], "get_permutation_import": [24, 50], "x_train_perm": [24, 50], "n_repeat": [24, 50], "perm_sorted_idx": [24, 50], "importances_mean": [24, 50], "argsort": [24, 29, 50, 55], "boxplot": [24, 50], "vert": [24, 50], "rf_imp_df": 24, "230412": [24, 50], "122210": [24, 50], "114521": [24, 50], "113815": [24, 50], "077887": [24, 50], "044242": 24, "038287": 24, "status_nev": [24, 50], "025661": 24, "9999999999999998": [24, 50], "inde": [24, 29, 50, 55], "eli5": [24, 50], "variant": [24, 27, 48, 50, 53], "lundberg": [24, 50], "2017": [24, 31, 50, 60], "country_puerto": [24, 50], "rico": [24, 50], "country_scotland": [24, 50], "country_south": [24, 50], "country_taiwan": [24, 50], "country_thailand": [24, 50], "921955": [24, 50], "21768": [24, 31, 50], "258387": [24, 50], "069150": [24, 50], "447517": [24, 50], "185975": [24, 50], "042081": [24, 50], "216346": [24, 50], "663822": [24, 50], "553965": [24, 50], "6513": [24, 50], "lgbm_explain": [24, 50], "treeexplain": [24, 50], "train_lgbm_shap_valu": [24, 50], "shap_valu": [24, 50], "08151507e": [24, 50], "82025568e": [24, 50], "70162085e": [24, 50], "03017665e": [24, 50], "00000000e": [24, 39, 50], "69027185e": [24, 50], "46019608e": [24, 50], "77536150e": [24, 50], "69698010e": [24, 50], "00720988e": [24, 50], "78058051e": [24, 50], "39095422e": [24, 50], "50475372e": [24, 50], "51137414e": [24, 50], "02446630e": [24, 50], "54676006e": [24, 50], "05137470e": [24, 50], "89706451e": [24, 50], "74798624e": [24, 50], "13229595e": [24, 50], "31449687e": [24, 50], "32247597e": [24, 50], "01432486e": [24, 50], "99744241e": [24, 50], "03411038e": [24, 50], "04709519e": [24, 50], "15559528e": [24, 50], "32397724e": [24, 50], "55862988e": [24, 50], "05290827e": [24, 50], "11336331e": [24, 50], "stick": [24, 31, 50], "26048": [24, 50], "test_lgbm_shap_valu": [24, 50], "js": [24, 26, 50], "initj": [24, 50], "y_test_reset": [24, 50], "6508": [24, 50], "6509": [24, 50], "6510": [24, 50], "6511": [24, 50], "6512": [24, 50], "l50k_ind": [24, 50], "g50k_ind": [24, 50], "ex_l50k_index": [24, 50], "ex_g50k_index": [24, 50], "476406": [24, 50], "649658": [24, 50], "345": [24, 41, 50], "99240562": [24, 50], "00759438": [24, 50], "723502": [24, 50], "253426": [24, 50], "256666": [24, 50], "403715": [24, 50], "003408": [24, 50], "001051": [24, 50], "000663": [24, 50], "force_plot": [24, 50], "expected_valu": [24, 50], "occupation_oth": [24, 50], "raw_scor": [24, 50], "76270194": [24, 50], "61912405": [24, 50], "45555535": [24, 50], "13521135": [24, 50], "62873917": [24, 50], "84062193": [24, 50], "872722908439952": [24, 50], "336411423367732": 24, "3364114233677307": 24, "8727229084399575": [24, 50], "35997929": [24, 50], "64002071": [24, 50], "5754540510801829": [24, 50], "336": [24, 50], "074859": [24, 50], "805468": [24, 50], "565589": [24, 50], "417642": [24, 50], "324636": [24, 50], "185687": [24, 50], "148519": [24, 50], "139914": [24, 50], "108003": [24, 50], "106276": [24, 50], "dependence_plot": [24, 50], "similarli": [24, 26, 32, 50, 52], "summary_plot": [24, 50], "plot_typ": [24, 50], "deepexplain": [24, 50], "kernelexplain": [24, 50], "gradientexplain": [24, 50], "kera": [24, 50], "pixel": [24, 50], "lime": 24, "bother": [24, 50], "strang": [24, 32, 50], "regulatori": [24, 50], "guidelin": [24, 25, 50, 51], "multicoliniar": [24, 50], "causal": [24, 25, 50, 51], "evenli": [24, 33, 50], "l1": [24, 32, 50], "overconfid": [24, 25, 50, 51], "npr": [25, 29, 34, 42, 51, 55], "ridgecv": [25, 42, 51], "flight": [25, 34, 51], "arriv": [25, 29, 51, 55], "departur": [25, 51], "durat": [25, 31, 32, 51], "valuabl": [25, 27, 51, 53, 57, 58, 60], "fancier": [25, 51], "jason": [25, 51], "brownle": [25, 51], "brain": [25, 30, 51, 56], "spectrogram": [25, 51], "wavelet": [25, 51], "convolut": [25, 30, 51, 56], "synthet": [25, 30, 44, 51], "sb": [25, 51], "column_stack": [25, 51], "x1": [25, 28, 51, 54], "x2": [25, 27, 28, 51, 53, 54], "scatterplot": [25, 51], "x1x2": [25, 51], "x_1x_2": 25, "xx": [25, 26, 44, 51, 52], "yy": [25, 31, 51], "meshgrid": [25, 51], "rng": [25, 27, 51, 53], "randomst": [25, 27, 51, 53], "x_xor": 25, "y_xor": 25, "logical_xor": [25, 51], "764052": 25, "400157": 25, "705898": 25, "978738": 25, "240893": 25, "193247": 25, "867558": 25, "977278": 25, "825123": 25, "950088": 25, "151357": 25, "143803": 25, "103219": 25, "410599": 25, "042382": 25, "3d": [25, 30, 56], "plotli": [25, 29, 55], "px": [25, 29, 55], "scatter_3d": 25, "color_continuous_scal": [25, 55], "polynomialfeatur": [25, 31, 51], "pipe_xor": [25, 51], "interaction_onli": [25, 31, 51], "include_bia": [25, 31], "995": [25, 51], "transpos": [25, 28, 30, 36, 40, 41, 51, 56], "x0": [25, 51], "028452": 25, "130408": 25, "085959": 25, "logic": [25, 51], "conjunct": [25, 51], "park": [25, 38, 51], "roger": [25, 51], "arena": [25, 51], "9am": [25, 51], "7pm": [25, 51], "california_h": [25, 51], "20639": [25, 51], "20433": [25, 51], "9950": [25, 51], "164": [25, 28, 29, 30, 51, 55], "5694": [25, 51], "287500": [25, 51], "219512": [25, 51], "3547": [25, 51], "6154": [25, 51], "1070": [25, 51], "3010": [25, 51], "1034": [25, 51], "6392": [25, 51], "271500": [25, 51], "951644": [25, 51], "4448": [25, 51], "1452": [25, 51], "371": [25, 31, 51], "7292": [25, 51], "191700": [25, 51], "628032": [25, 51], "6984": [25, 51], "2071": [25, 51], "398": [25, 51], "988": [25, 51], "6226": [25, 51], "219700": [25, 51], "126238": [25, 51], "4432": [25, 51], "1320": [25, 51], "309": [25, 34, 40, 41, 48, 51], "1405": [25, 51], "328": [25, 51], "4375": [25, 28, 51, 54], "024390": [25, 51], "490": 25, "167600": 25, "4687": 25, "793": [25, 48], "2436": 25, "180900": 25, "4153": 25, "2435": 25, "286200": 25, "1545": 25, "334": [25, 34, 41], "412500": 25, "1911": 25, "59300": 25, "x_train_hous": [25, 51], "y_train_hous": [25, 51], "preprocessor1": [25, 51], "lr_1": [25, 51], "018136": 25, "001949": 25, "280028": [25, 51], "311769": [25, 51], "005248": 25, "001424": 25, "325319": [25, 51], "300464": [25, 51], "003511": 25, "001297": 25, "317277": [25, 51], "301952": [25, 51], "001328": 25, "316798": [25, 51], "303004": [25, 51], "003403": 25, "001284": 25, "260258": [25, 51], "314840": [25, 51], "dpi": [25, 36, 51], "bucket": [25, 51], "kbinsdiscret": [25, 51], "discretization_feat": [25, 51], "preprocessor2": [25, 51], "n_bin": [25, 51], "lr_2": [25, 51], "032049": 25, "003981": 25, "441445": [25, 51], "456419": [25, 51], "016939": 25, "004483": 25, "469571": [25, 51], "446216": [25, 51], "016176": 25, "003384": 25, "479132": [25, 51], "446869": [25, 51], "016040": 25, "003497": 25, "450822": [25, 51], "453367": [25, 51], "016045": 25, "003377": 25, "388169": [25, 51], "467628": [25, 51], "kbinsdiscretizerkbinsdiscret": 25, "kbinsdiscretizer__latitude_0": [25, 51], "kbinsdiscretizer__latitude_1": [25, 51], "kbinsdiscretizer__latitude_2": [25, 51], "kbinsdiscretizer__latitude_3": [25, 51], "kbinsdiscretizer__latitude_4": [25, 51], "kbinsdiscretizer__latitude_5": [25, 51], "kbinsdiscretizer__latitude_6": [25, 51], "kbinsdiscretizer__latitude_7": [25, 51], "kbinsdiscretizer__latitude_8": [25, 51], "kbinsdiscretizer__latitude_9": [25, 51], "kbinsdiscretizer__longitude_11": [25, 51], "kbinsdiscretizer__longitude_12": [25, 51], "kbinsdiscretizer__longitude_13": [25, 51], "kbinsdiscretizer__longitude_14": [25, 51], "kbinsdiscretizer__longitude_15": [25, 51], "kbinsdiscretizer__longitude_16": [25, 51], "kbinsdiscretizer__longitude_17": [25, 51], "kbinsdiscretizer__longitude_18": [25, 51], "kbinsdiscretizer__longitude_19": [25, 51], "pipeline__rooms_per_household": [25, 51], "316164": [25, 51], "209903": [25, 51], "711852": [25, 51], "117528": [25, 51], "554621": [25, 51], "064307": [25, 51], "235706": [25, 51], "212581": [25, 51], "271037": [25, 51], "027321": [25, 51], "preprocessor3": [25, 51], "lr_3": [25, 51], "026807": 25, "003209": 25, "590618": [25, 51], "571969": [25, 51], "014674": 25, "002614": 25, "575907": [25, 51], "570473": [25, 51], "014649": 25, "002734": 25, "579091": [25, 51], "573542": [25, 51], "014581": 25, "002573": 25, "571500": [25, 51], "574260": [25, 51], "016785": 25, "002684": 25, "541488": [25, 51], "581687": [25, 51], "coefs_df": [25, 51], "bound": [25, 51], "ndframe": [25, 32, 51], "longitude_1": [25, 51], "211343": [25, 51], "036136": [25, 51], "latitude_1": [25, 51], "205059": [25, 51], "296601": [25, 51], "latitude_0": [25, 51], "201862": [25, 51], "534342": [25, 51], "longitude_0": [25, 51], "190319": [25, 51], "721818": [25, 51], "longitude_2": [25, 51], "160282": [25, 51], "191204": [25, 51], "longitude_3": [25, 51], "157234": [25, 51], "920305": [25, 51], "latitude_2": [25, 51], "154105": [25, 51], "963689": [25, 51], "rooms_per_household_19": [25, 51], "138503": [25, 51], "477291": [25, 51], "latitude_8": [25, 51], "135299": [25, 51], "516394": [25, 51], "longitude_4": [25, 51], "132292": [25, 51], "924485": [25, 51], "latitude_7": [25, 51], "124982": [25, 51], "236174": [25, 51], "latitude_3": [25, 51], "118563": [25, 51], "786115": [25, 51], "longitude_5": [25, 51], "116145": [25, 51], "526596": [25, 51], "rooms_per_household_18": [25, 51], "102044": [25, 51], "252042": [25, 51], "longitude_6": [25, 51], "96554": [25, 51], "525554": [25, 51], "latitude_4": [25, 51], "92809": [25, 51], "389349": [25, 51], "latitude_6": [25, 51], "90982": [25, 51], "951669": [25, 51], "latitude_9": [25, 51], "71096": [25, 51], "652487": [25, 51], "rooms_per_household_17": [25, 51], "70472": [25, 51], "564483": [25, 51], "latitude_5": [25, 51], "69411": [25, 51], "023366": [25, 51], "longitude_10": [25, 51], "52398": [25, 51], "892961": [25, 51], "rooms_per_household_16": [25, 51], "44311": [25, 51], "362553": [25, 51], "rooms_per_household_15": [25, 51], "31454": [25, 51], "877046": [25, 51], "longitude_7": [25, 51], "25658": [25, 51], "862997": [25, 51], "latitude_10": [25, 51], "20311": [25, 51], "784573": [25, 51], "rooms_per_household_14": [25, 51], "16460": [25, 51], "273962": [25, 51], "rooms_per_household_13": [25, 51], "9351": [25, 51], "210272": [25, 51], "longitude_8": [25, 51], "6322": [25, 32, 51], "652986": [25, 51], "rooms_per_household_12": [25, 51], "1858": [25, 51], "970683": [25, 51], "rooms_per_household_11": [25, 51], "12178": [25, 51], "614567": [25, 51], "longitude_9": [25, 51], "14579": [25, 51], "657675": [25, 51], "rooms_per_household_10": [25, 51], "16630": [25, 51], "535622": [25, 51], "rooms_per_household_9": [25, 51], "19591": [25, 51], "810098": [25, 51], "longitude_11": [25, 51], "22741": [25, 51], "635200": [25, 51], "rooms_per_household_8": [25, 51], "26919": [25, 51], "381190": [25, 51], "rooms_per_household_7": [25, 51], "30573": [25, 51], "540359": [25, 51], "rooms_per_household_6": [25, 51], "32734": [25, 51], "570739": [25, 51], "rooms_per_household_4": [25, 51], "40689": [25, 51], "197649": [25, 51], "rooms_per_household_3": [25, 51], "42060": [25, 51], "071975": [25, 51], "rooms_per_household_5": [25, 51], "43445": [25, 51], "134061": [25, 51], "rooms_per_household_2": [25, 51], "47606": [25, 51], "596151": [25, 51], "rooms_per_household_0": [25, 51], "50884": [25, 51], "444297": [25, 51], "rooms_per_household_1": [25, 51], "51143": [25, 51], "091625": [25, 51], "latitude_13": [25, 51], "57510": [25, 51], "779271": [25, 51], "longitude_14": [25, 51], "70978": [25, 51], "802502": [25, 51], "longitude_13": [25, 51], "89270": [25, 51], "957075": [25, 51], "longitude_12": [25, 51], "90669": [25, 51], "093228": [25, 51], "latitude_11": [25, 51], "100275": [25, 51], "316426": [25, 51], "longitude_15": [25, 51], "105080": [25, 51], "071654": [25, 51], "latitude_12": [25, 51], "111438": [25, 51], "823543": [25, 51], "latitude_14": [25, 51], "114836": [25, 51], "305674": [25, 51], "latitude_15": [25, 51], "116443": [25, 51], "256437": [25, 51], "longitude_16": [25, 51], "119570": [25, 51], "316230": [25, 51], "latitude_16": [25, 51], "140185": [25, 51], "299164": [25, 51], "longitude_17": [25, 51], "174766": [25, 51], "515848": [25, 51], "latitude_18": [25, 51], "185868": [25, 51], "754874": [25, 51], "latitude_17": [25, 51], "195564": [25, 51], "951574": [25, 51], "longitude_18": [25, 51], "205144": [25, 51], "956966": [25, 51], "longitude_19": [25, 51], "255751": [25, 51], "248664": [25, 51], "latitude_19": [25, 51], "262361": [25, 51], "647795": [25, 51], "covid": [25, 51], "tweet": [25, 29, 51, 55], "corona_nlp_test": [25, 51], "neutral": [25, 34, 51], "619": [25, 51], "599": [25, 51], "592": [25, 51], "usernam": [25, 51], "screennam": [25, 51], "tweetat": [25, 51], "originaltweet": [25, 51], "1927": [25, 51], "1928": [25, 51], "46880": [25, 51], "seattl": [25, 51], "1068": [25, 51], "1069": [25, 51], "46021": [25, 51], "shit": [25, 51], "45756": [25, 51], "secpompeo": [25, 51], "realdonaldtrump": [25, 51], "2846": [25, 51], "2847": [25, 51], "47799": [25, 51], "flagstaff": [25, 51], "az": [25, 51], "lauvagrand": [25, 51], "sick": [25, 26, 51, 52], "panic": [25, 51], "3768": [25, 51], "3769": [25, 51], "48721": [25, 51], "montreal": [25, 29, 51, 55], "coronaviru": [25, 51], "toilet": [25, 28, 30, 51], "46075": 25, "groceri": [25, 30], "shelv": 25, "wher": 25, "1347": 25, "46299": 25, "highland": 25, "3454": [25, 32], "3455": 25, "48407": 25, "houston": 25, "h": [25, 26, 29, 30, 52, 55, 56, 58], "3437": 25, "3438": [25, 28, 54], "48390": 25, "washington": [25, 28, 51], "dc": [25, 31, 32, 51], "supermarket": 25, "boom": 25, "covid2019": 25, "3582": [25, 32, 34], "3583": 25, "48535": 25, "st": [25, 31, 34, 51], "jame": [25, 29, 32, 51, 55], "newcastl": [25, 51], "im": 25, "3038": [25, 51], "london": [25, 51], "england": [25, 51], "lo": [25, 51], "angel": [25, 32, 51], "york": [25, 31, 34, 38, 51], "ny": [25, 51], "suburb": [25, 51], "chicago": [25, 51], "philippin": [25, 51], "dont": [25, 51], "windsor": [25, 51], "ia": [25, 51], "1441": [25, 51], "852": [25, 32, 38, 51], "472": [25, 51], "479": 25, "032": 25, "413": [25, 34, 51], "nltk": [25, 29, 34, 51, 55], "emoji": [25, 51], "spacymoji": [25, 51], "en_core_web_md": [25, 29, 34, 51, 55], "punkt": [25, 51], "nltk_data": [25, 29, 51, 55], "vader_lexicon": [25, 51], "vader": [25, 51], "sentimentintensityanalyz": [25, 51], "sid": [25, 51], "sweet": [25, 51], "polarity_scor": [25, 51], "neu": [25, 51], "368": [25, 31, 51], "632": [25, 51], "compound": [25, 29, 30, 51, 55, 56], "8225": [25, 51], "249": [25, 41, 51], "751": [25, 37, 51], "5106": [25, 51], "explos": [25, 51], "Ines": [25, 51], "montani": [25, 51], "en": [25, 31, 32, 51], "customiz": [25, 51], "sample_text": [25, 51], "dolli": [25, 51], "parton": [25, 51], "gift": [25, 51], "jolen": [25, 51], "fund": [25, 51], "vaccin": [25, 51], "netflix": [25, 49, 51], "christma": [25, 51], "christin": [25, 51], "baranski": [25, 51], "scroog": [25, 51], "landown": [25, 51], "threaten": [25, 51], "evict": [25, 51], "ev": [25, 51], "choreograph": [25, 51], "legendari": [25, 51], "debbi": [25, 51], "allen": [25, 51], "jennif": [25, 51], "lewi": [25, 51], "herself": [25, 38, 51, 55], "amongst": [25, 51], "thepopbreak": 25, "miracl": 25, "speech": [25, 29, 51, 55], "token": [25, 33, 34, 51], "pos_": [25, 29, 34, 51, 55], "propn": [25, 51, 55], "aux": [25, 51, 55], "det": [25, 29, 34, 51, 55], "noun": [25, 29, 33, 51, 55], "adp": [25, 29, 34, 51, 55], "pron": [25, 29, 34, 51, 55], "punct": [25, 29, 34, 51, 55], "verb": [25, 29, 33, 51, 55], "adj": [25, 51, 55], "entiti": [25, 28, 33, 51, 54], "displaci": [25, 29, 51, 55], "ent": [25, 29, 51, 55], "fac": [25, 51], "movieto": [25, 51], "label_": [25, 29, 51, 55], "norg": [25, 29, 51, 55], "nperson": [25, 51], "ndate": [25, 51], "agenc": [25, 51, 55], "institut": [25, 51, 55], "fiction": [25, 51], "period": [25, 29, 31, 51, 55, 57], "inter": [25, 51], "disclos": [25, 33, 51, 57], "annual": [25, 51], "hitter": [25, 51], "microsoft": [25, 51], "compet": [25, 51], "ibm": [25, 51], "salesforc": [25, 51], "your_miniconda_path": [25, 51], "add_pip": [25, 51], "138": [25, 28, 32, 51, 54], "smile": [25, 51], "dark": [25, 51], "get_relative_length": [25, 51], "twitter_allowed_char": [25, 51], "get_length_in_word": [25, 51], "word_token": [25, 29, 34, 51, 55], "get_senti": [25, 51], "lexicon": [25, 51], "get_avg_word_length": [25, 51], "has_emoji": [25, 51], "n_word": [25, 29, 51, 55], "vader_senti": [25, 51], "rel_char_len": [25, 51], "average_word_length": [25, 51], "uppercas": 25, "all_cap": [25, 51], "isupp": [25, 51], "1053": [25, 51], "589286": [25, 51], "932143": [25, 51], "636364": [25, 51], "910714": 25, "741935": 25, "8481": 25, "907143": 25, "023810": 25, "passthrough_featur": [25, 32, 51], "text_featur": [25, 51], "689": [25, 51], "passthroughpassthroughcountvectorizeroriginaltweetcountvectorizercountvector": 25, "cv_feat": [25, 51], "feat_nam": [25, 31, 37, 51], "coef": [25, 31, 32, 51], "141919": [25, 51], "11331": [25, 51], "369740": [25, 51], "2551": [25, 51], "coronapocalyps": [25, 51], "809931": [25, 51], "2214": [25, 51], "744717": [25, 51], "8661": [25, 51], "retail": [25, 51], "723808": [25, 51], "9862": [25, 51], "157669": [25, 51], "3299": [25, 51, 55], "159067": [25, 51], "4879": [25, 51], "311957": [25, 51], "3129": [25, 46, 51], "die": [25, 38, 51], "366538": [25, 51], "7504": [25, 51], "527156": [25, 51], "11664": [25, 51], "appendix": [25, 51], "ngram": [25, 33, 51], "emoticon": [25, 26, 51, 52], "kaggler": [25, 51], "xavier": [25, 28, 51, 54], "conort": [25, 51], "quest": [25, 51], "bmatrix": [25, 28, 29, 51, 54, 55], "x_n": [25, 51], "leq": [25, 26, 51, 52], "cheaper": [25, 51], "discard": [25, 29, 33, 51, 55], "load_breast_canc": [25, 51], "284": [25, 31, 51], "pipe_lr_all_feat": 25, "003118": 25, "000510": 25, "968233": [25, 51], "987681": [25, 51], "selectfrommodel": [25, 51], "threahold": [25, 51], "feature_select": [25, 51], "select_rf": [25, 51], "n_estim": [25, 31, 32, 51], "select_knn": [25, 51], "pipe_lr_model_bas": [25, 51], "select_svc": [25, 51], "089411": 25, "004722": 25, "950564": [25, 51], "974480": [25, 51], "088459": 25, "004785": 25, "computation": [25, 29, 51, 52, 55], "feature_importances_": [25, 35, 51], "n_features_to_select": [25, 51], "ranking_": [25, 51], "concav": [25, 51], "radiu": [25, 27, 51, 53], "textur": [25, 51], "perimet": [25, 51], "rfecv": [25, 51], "rfe_cv": [25, 51], "symmetri": [25, 51], "fractal": [25, 51], "rfe_pip": [25, 51], "636661": 25, "003365": 25, "943609": [25, 51], "sequentialfeatureselector": [25, 51], "pipe_forward": [25, 51], "stochast": [25, 26, 51, 52], "inject": [25, 42, 51], "anneal": [25, 51], "genet": [25, 51], "discov": [25, 26, 51, 52], "prune": [25, 51], "snp": [25, 51], "biolog": [25, 51], "mom": [25, 51], "collinear": [25, 51], "matern": [25, 51], "grandma": [25, 51], "taco": [25, 51], "ancestor": [25, 51], "dad": [25, 51], "confound": [25, 51], "hidden": [25, 30, 51, 52, 55, 56], "sibl": [25, 51], "babi": [25, 29, 51, 55], "hopeless": [25, 51], "messi": [25, 29, 51, 55], "genom": [25, 49, 51], "pydata": [25, 51], "plotting_functions_unsup": [26, 27, 28, 29, 40, 41, 52, 53, 54], "kmean": [26, 27, 40, 41, 52, 53], "difficulti": [26, 52], "571": 26, "themselv": [26, 27, 29, 52, 53, 55], "stale": [26, 52], "extent": [26, 52], "dataset2": [26, 52], "food": [26, 30, 37, 40, 41, 52], "cook": 26, "hummu": [26, 29, 55], "imposs": [26, 52], "relabel": [26, 52], "coher": [26, 52], "landscap": [26, 52], "social": [26, 28, 31, 33, 52, 54], "determin": [26, 27, 29, 32, 52, 53, 55, 57, 59], "euclidean": [26, 27, 29, 52, 53], "n_cluster": [26, 27, 40, 41, 52, 53], "n_init": [26, 40, 41, 52], "clust_label": [26, 52], "labels_": [26, 27, 52, 53], "toy_clust_df": 26, "feat1": 26, "feat2": 26, "691924": 26, "476412": 26, "707899": 26, "004352": 26, "236210": 26, "119100": 26, "901595": 26, "421215": 26, "859439": 26, "381924": 26, "047749": 26, "305047": 26, "007588": 26, "247439": 26, "454677": 26, "583872": 26, "536362": 26, "111215": 26, "430704": 26, "759561": 26, "cluster_cent": [26, 52], "cluster_centers_": [26, 40, 41, 52], "75745416": [26, 52], "48073598": [26, 52], "04861878": [26, 52], "51226051": [26, 52], "10556679": [26, 52], "65013704": [26, 52], "km_label": [26, 52], "centroid": [26, 27, 52, 53], "chicken": [26, 52], "n_exampl": [26, 52], "69192445": 26, "47641249": 26, "70789903": 26, "00435173": 26, "23621041": 26, "11909976": 26, "90159483": 26, "42121526": 26, "85943906": 26, "38192364": 26, "04774884": 26, "30504657": 26, "00758803": 26, "24743939": 26, "45467725": 26, "58387198": 26, "53636249": 26, "11121453": 26, "4307043": 26, "75956122": 26, "centers_idx": [26, 52], "plot_km_initi": [26, 52], "update_z": [26, 52], "update_cent": [26, 52], "point_index": 26, "plot_example_dist": [26, 52], "point_ind": [26, 52], "old_cent": 26, "new_cent": [26, 52], "kk": 26, "z_km": 26, "plot_km_iter": [26, 52], "converg": [26, 52], "plot_km_it": [26, 52], "x_init": [26, 52], "y_init": [26, 52], "centroids_idx_init": [26, 52], "centroids_idx": [26, 52], "criterion": [26, 27, 41, 52, 53], "u_": 26, "lvert": [26, 29, 55], "mathbf": 26, "_j": 26, "_i": 26, "rvert": 26, "2_2": 26, "lloyd": 26, "naiv": [26, 27, 53], "ndk": 26, "light": [26, 41], "er": 26, "nd": 26, "elkan": 26, "ying": 26, "yang": 26, "unassign": [26, 27, 52, 53], "tast": [26, 28, 37, 54], "roast": 26, "garlic": 26, "lemon": 26, "satisfactori": [26, 52], "p_i": [26, 52], "c_1": [26, 52], "c_2": [26, 52], "c_3": [26, 52], "inertia_": [26, 52], "4372": [26, 52], "460950": [26, 52], "076284": [26, 52], "137410": [26, 52], "359887": [26, 52], "844921": [26, 52], "593508": [26, 52], "126488": [26, 52], "016676": [26, 52], "385639": [26, 52], "053156": [26, 52], "plot_elbow": [26, 52], "inertia_valu": [26, 52], "axvlin": [26, 52], "linestyl": [26, 52], "tick_param": [26, 52], "argu": [26, 29, 52, 55], "inflect": [26, 29, 52, 55], "yellowbrick": [26, 27, 52, 53], "districtdatalab": [26, 52], "kelbowvisu": [26, 52], "plot_silhouette_dist": [26, 52], "imbal": [26, 32, 52], "silhouettevisu": [26, 27, 52, 53], "thick": [26, 37, 52], "dropoff": [26, 52], "rectangular": [26, 52], "spaghetti": 26, "sauc": [26, 37], "malcom": 26, "gladwel": 26, "comprehens": [26, 55, 57], "d3": 26, "gif": [26, 27], "fcluster": [27, 41, 53], "agglomerativeclust": [27, 53], "mixtur": [27, 29, 30, 53, 55, 56], "gaussianmixtur": [27, 52, 53], "make_moon": [27, 52, 53], "decomposit": [27, 28, 29, 53, 54, 55], "epsilon": [27, 53], "nois": [27, 41, 53], "minibatchkmean": [27, 53], "initi": [27, 30, 36, 40, 41, 53, 56, 58, 59, 60], "elbow": [27, 53], "silhouett": [27, 53], "moon": [27, 53], "plot_kmeans_gmm": [27, 53], "make_circl": [27, 52, 53], "spheric": [27, 52, 53], "gmm": [27, 52, 53], "ensiti": [27, 53], "ased": [27, 53], "patial": [27, 53], "luster": [27, 53], "pplicat": [27, 53], "ois": [27, 53], "densiti": [27, 53], "dens": [27, 28, 53, 54], "plot_original_clust": [27, 53], "trivial": [27, 53], "plot_dbscan_with_label": [27, 53], "699901396097973": [27, 53], "961109802000133": [27, 53], "spread": [27, 52, 53], "fit_predict": [27, 41, 53], "plot_dbscan": [27, 53], "uparrow": [27, 53], "obviou": [27, 29, 53, 55], "hdbscan": 27, "x_vari": [27, 53], "y_vari": [27, 53], "cluster_std": [27, 44, 52, 53], "plot_k_means_dbscan_comparison": [27, 53], "suscept": [27, 53], "greedili": [27, 53], "linkage_arrai": [27, 53], "plot_x_dendrogram": [27, 53], "label_n_clust": [27, 53], "intermedi": [27, 30, 53, 56], "parent": [27, 38, 53], "hier_labels1": [27, 53], "maxclust": [27, 41, 53], "plot_dendrogram_clust": [27, 53], "max_clust": [27, 53], "hier_labels2": [27, 53], "loos": [27, 53], "pair": [27, 29, 30, 53, 55, 56, 57], "c1": [27, 53], "c2": [27, 53], "332095": [27, 53], "645802": [27, 53], "911272": [27, 53], "989059": [27, 53], "072565": [27, 53], "fourth": [27, 53], "hier_label": [27, 53], "linkage_typ": [27, 53], "plot_linkage_criteria": [27, 53], "lastp": [27, 53], "truncate_mod": [27, 41, 53], "hc_truncation_toy_demo": [27, 53], "truncation_mod": 27, "granular": [27, 53], "gaussian": [27, 53], "overview": [27, 53], "mutual": [27, 38, 53], "meaningless": [27, 53], "trustworthi": [27, 53], "conting": [27, 53], "tediou": [27, 53], "13th": [28, 54, 55], "client": [28, 54], "bui": [28, 54], "facebook": [28, 29, 54, 55, 57], "linkedin": [28, 54], "journal": [28, 54], "purchas": [28, 54], "y_": [28, 54, 59], "100m": [28, 54], "5m": [28, 54], "18k": [28, 54], "grand": [28, 54], "1m": [28, 54], "adopt": [28, 54], "tinder": [28, 54], "jester_r": [28, 54], "ratings_ful": [28, 54], "userid": [28, 54], "4000": [28, 54], "jokeid": [28, 54], "219": [28, 51, 54], "user_kei": [28, 54], "item_kei": [28, 54], "141362": [28, 54], "141361": [28, 54], "get_stat": [28, 54], "3635": [28, 54], "278": [28, 54], "construct": [28, 54], "user_mapp": [28, 54], "item_mapp": [28, 54], "user_inverse_mapp": [28, 54], "item_inverse_mapp": [28, 54], "create_y_from_r": [28, 54], "val": [28, 32, 54], "iterrow": [28, 54], "y_mat": [28, 54], "137": [28, 32, 34, 41, 54], "656": [28, 54], "031": [28, 54], "531": [28, 54], "406": [28, 30, 54, 56], "562": [28, 54], "969": [28, 54], "812": [28, 54], "906": [28, 54], "3630": [28, 54], "3631": [28, 54], "375": [28, 54], "3632": [28, 54], "312": [28, 40, 41, 54], "3633": [28, 54], "3634": [28, 54], "113089": [28, 54], "28273": [28, 54], "train_mat": [28, 54], "valid_mat": [28, 54], "against": [28, 54, 55], "rmse": [28, 42, 49, 54], "nanmean": [28, 54], "pred_x": [28, 54], "train_x": [28, 54], "valid_x": [28, 54], "model_nam": [28, 54], "pred_g": [28, 54], "20741": [28, 54], "knnimput": [28, 54], "n_neighbor": [28, 36, 54, 59], "train_mat_imp": [28, 54], "2810": [28, 54], "7810": [28, 54], "6560": [28, 54], "0310": [28, 54], "4690": [28, 54], "7190": [28, 54], "1560": [28, 35, 54], "5311": [28, 54], "8968": [28, 54], "6905": [28, 54], "1218": [28, 48, 54], "2843": [28, 54], "6063": [28, 54], "1812": [28, 54], "3937": [28, 54], "7625": [28, 54], "4092": [28, 54], "3405": [28, 54], "9380": [28, 54], "5310": [28, 54], "4060": [28, 54], "6880": [28, 54], "2437": [28, 54], "1719": [28, 54], "0251": [28, 54], "2407": [28, 54], "9311": [28, 54], "8375": [28, 54], "3812": [28, 54], "2532": [28, 54], "8440": [28, 54], "5750": [28, 54], "9690": [28, 54], "8120": [28, 54], "4186": [28, 54], "1156": [28, 54], "5655": [28, 54], "3720": [28, 54], "0439": [28, 54], "0500": [28, 54], "5563": [28, 54], "4125": [28, 54], "5874": [28, 54], "4624": [28, 54], "9060": [28, 54], "7781": [28, 54], "0532": [28, 54], "8594": [28, 54], "7031": [28, 54], "3687": [28, 54], "8469": [28, 54], "0593": [28, 54], "0344": [28, 43, 46, 54], "1469": [28, 54], "8875": [28, 54], "6845": [28, 54], "0156": [28, 54], "2595": [28, 54], "1971": [28, 35, 54], "0249": [28, 54], "3157": [28, 54], "8658": [28, 54], "7937": [28, 54], "9220": [28, 54], "0940": [28, 54], "2844": [28, 54], "0157": [28, 52, 54], "0406": [28, 54], "5218": [28, 34, 54], "3594": [28, 54], "0968": [28, 54], "9250": [28, 54], "9657": [28, 54], "7750": [28, 54], "0620": [28, 54], "8218": [28, 54], "1470": [28, 54], "8281": [28, 54], "2718": [28, 54], "8782": [28, 54], "0125": [28, 54], "0688": [28, 54], "6844": [28, 54], "0531": [28, 54], "8687": [28, 54], "5281": [28, 54], "1878": [28, 54], "0031": [28, 54], "0908": [28, 54], "3563": [28, 54], "5188": [28, 54], "0625": [28, 54], "4001": [28, 54], "3440": [28, 54], "6408": [28, 54], "1187": [28, 54], "3750": [28, 54], "9314": [28, 54], "9155": [28, 54], "4282": [28, 54], "2968": [28, 54], "7968": [28, 54], "3999": [28, 54], "8500": [28, 54], "8437": [28, 54], "1749": [28, 54], "3844": [28, 54], "5564": [28, 54], "3343": [28, 54], "0126": [28, 54], "8344": [28, 54], "4499": [28, 54], "9312": [28, 54], "4062": [28, 54], "9750": [28, 54], "2220": [28, 54], "5937": [28, 54], "4907": [28, 54], "1594": [28, 54], "1437": [28, 54], "5406": [28, 54], "2031": 28, "7782": [28, 54], "7406": [28, 54], "6406": [28, 54], "8061": [28, 54], "9968": [28, 54], "1626": [28, 54], "4187": [28, 54], "6781": [28, 54], "7658": [28, 54], "4595": [28, 54], "0812": [28, 54], "5620": [28, 54], "2218": [28, 54], "1874": [28, 54], "8156": [28, 54], "7280": [28, 54], "0750": [28, 54], "1033": [28, 54], "5312": [28, 54], "8283": [28, 54], "1219": [28, 48, 54], "item_user_mat": 28, "jokes_df": 28, "jester_item": 28, "joketext": 28, "ncancer": 28, "alzheim": 28, "nthe": 28, "repli": 28, "god": [28, 38], "nfrom": 28, "girlfriend": 28, "pack": 28, "nand": 28, "aw": [28, 37], "pedophil": 28, "nhe": 28, "awfulli": 28, "ten": 28, "feet": [28, 29, 55], "teeth": 28, "front": [28, 57], "willi": 28, "nelson": 28, "concert": 28, "twhat": 28, "simpson": 28, "internet": [28, 32], "tslash": 28, "slash": 28, "backslash": 28, "escap": 28, "id_joke_map": 28, "nearestneighbor": [28, 36], "get_topk_recommend": 28, "query_ind": 28, "cosin": 28, "query_idx": 28, "neigh_ind": 28, "kneighbor": [28, 36], "return_dist": 28, "lingual": [28, 29, 55], "bi": 28, "richard": 28, "nixon": 28, "bill": [28, 30, 56], "clinton": 28, "couldn": [28, 40, 41, 55], "lie": 28, "nclinton": 28, "air": 28, "balloon": 28, "lost": [28, 38], "altitud": 28, "shout": 28, "excus": 28, "meet": [28, 29, 34, 55], "hover": 28, "north": 28, "balloonist": 28, "technic": 28, "frankli": 28, "respond": 28, "risen": 28, "quantiti": 28, "beneath": [28, 38], "fault": 28, "congress": 28, "nof": 28, "progress": [28, 59], "arnold": 28, "swartzeneg": 28, "sylvest": 28, "stallon": 28, "nstallon": 28, "mozart": 28, "nswartzeneg": 28, "bach": 28, "checkmark": [28, 54], "seven": [28, 38], "documentari": [28, 54], "lover": [28, 54], "latent": [28, 29, 30, 54, 55, 56], "svd": [28, 54], "load_from_df": [28, 54], "validset": [28, 54], "trainset": [28, 54], "algo": [28, 54], "n_factor": [28, 54], "svd_pred": [28, 54], "2893": [28, 54], "28926338380112": [28, 54], "mae": [28, 54], "testset": [28, 54], "2793": [], "3071": [], "2962": [], "2816": [], "2819": [], "0210": [], "2022": 31, "2181": 54, "2082": [], "1935": [], "1978": [], "0173": [], "test_rms": [28, 54], "test_ma": [28, 54], "test_tim": [28, 54], "279255": [], "202167": [], "221702": [], "085848": [], "307150": [], "218146": [], "227075": [], "143357": [], "296240": [], "208179": [], "223045": [], "084059": [], "245124": [], "167206": [], "229016": [], "154046": [], "281610": [], "193501": [], "265886": [], "087878": [], "load_builtin": [28, 54], "keyboardinterrupt": [28, 34], "return_train_measur": 28, "pre_dispatch": 28, "get_cv": 28, "delayed_list": 28, "105": 28, "fit_and_scor": 28, "107": [28, 43], "test_measures_dict": 28, "train_measures_dict": 28, "test_measur": 28, "1861": 28, "1862": 28, "1865": 28, "1866": 28, "interrupt": 28, "1867": 28, "worker": 28, "1868": 28, "concurr": 28, "1869": 28, "_lock": 28, "1789": [], "1786": [], "yield": [34, 46], "1788": 35, "1790": 28, "n_dispatched_batch": 28, "1791": 28, "n_dispatched_task": 28, "genexpr": [], "109": [], "fold_i": [], "n_split": 31, "raw_trainset": [], "113": [], "raw_rat": [], "115": 59, "raw_testset": [], "construct_trainset": [], "listcomp": 34, "romanc": [28, 54], "comedi": [28, 54], "toy_rat": [28, 54], "user_id": [28, 54], "movie_id": [28, 54], "sam": [28, 54], "lion": [28, 54], "king": [28, 29, 35, 54, 55], "jerri": [28, 38, 54], "maguir": [28, 54], "roman": [28, 54], "downfal": [28, 54], "titan": [28, 54], "incept": [28, 30, 54, 56], "wire": [28, 54], "dilemma": [28, 54], "bambi": [28, 54], "jim": [28, 54], "malcolm": [28, 54], "utility_mat": [28, 54], "build_testset": [28, 54], "defaultdict": [28, 54], "rating_pr": [28, 54], "uid": [28, 54], "iid": [28, 54], "true_r": [28, 54], "est": [28, 54], "5442874862516582": [28, 54], "471958396420975": [28, 54], "141157981632877": [28, 54], "6555436348053982": [28, 54], "6494404051925047": [28, 54], "8739407581035588": [28, 54], "295718235231984": [28, 54], "8839492577938532": [28, 54], "6435176323135128": [28, 54], "4463313322323263": [28, 54], "540418795140043": [28, 54], "4582870107738803": [28, 54], "1872411557123517": [28, 54], "4442142132704827": [28, 54], "5286392016604875": [28, 54], "133747883605952": [28, 54], "6665140635371194": [28, 54], "3423360343482957": [28, 54], "113324069881786": [28, 54], "685575559931666": [28, 54], "movie_feats_df": [28, 54], "toy_movie_feat": [28, 54], "drama": [28, 38, 54], "gave": [28, 31, 37, 38, 54], "get_lr_data_per_us": [28, 54], "ratings_df": [28, 54], "lr_y": [28, 54], "lr_x": [28, 54], "lr_item": [28, 54], "x_train_usr": [28, 54], "y_train_usr": [28, 54], "rated_item": [28, 54], "get_user_profil": [28, 54], "user_nam": [28, 54], "movie_nam": [28, 54], "profile_df": [28, 54], "romant": [28, 54], "train_for_usr": [28, 54], "predict_for_usr": [28, 54], "feat_vec": [28, 38, 54], "pat_model": [28, 54], "020833": [28, 54], "437500": [28, 54], "854167": [28, 54], "458333": [28, 54], "movies_to_pr": [28, 54], "145833": [28, 54], "eva_model": [28, 54], "pred_lin_reg": [28, 54], "575000": [28, 54], "075000": [28, 54], "450000": [28, 54], "291667": [28, 54], "770833": [28, 54], "312500": [28, 54], "810811": [28, 54], "675676": [28, 54], "783784": [28, 54], "351351": [28, 54], "270270": [28, 54], "revenu": [28, 54], "acquisit": [28, 54], "hardli": [28, 54], "amatriain": [28, 54], "part1": [28, 54], "part2": [28, 54], "offlin": [28, 54], "water": [28, 33, 54], "shoe": [28, 54], "vifuur": [28, 54], "sport": [28, 29, 30, 31, 34, 54, 55, 56], "bought": [28, 54], "fresh": [28, 34, 54, 55], "excit": [28, 54], "opportun": [28, 35, 54, 57], "persist": [28, 54], "login": [28, 54], "implicit": [28, 54], "mous": [28, 54], "harder": [28, 54], "profit": [28, 54], "media": [28, 54], "teen": [28, 54], "girl": [28, 54], "pregnant": [28, 54], "father": [28, 38, 54], "polit": [28, 29, 30, 54, 55, 56], "incit": [28, 54], "violenc": [28, 54], "myanmar": [28, 54], "uncomfort": [28, 54], "hug": 28, "paradox": 28, "comat": [29, 34, 55], "cooccurrencematrix": [29, 34, 55], "sent_token": [29, 34, 55], "mypreprocessor": [29, 34, 55], "analog": [29, 55], "suicid": [29, 55], "boost": [29, 42, 55], "artifici": [29, 34, 55], "gpt": [29, 55], "blog": [29, 31, 55], "wrote": [29, 31, 55], "subtl": [29, 55], "prostitut": [29, 55], "appeal": [29, 55], "pope": [29, 55], "kick": [29, 55], "healthi": [29, 55], "adject": [29, 33, 55], "milk": [29, 55], "drinker": [29, 55], "powder": [29, 55], "gensim": [29, 55], "google_news_vector": [29, 55], "503": [], "return_path": [], "insert": [], "base_dir": [], "502": [], "__import__": [], "load_data": [], "gz": [], "keyedvector": [], "load_word2vec_format": [], "cl": [], "fname": [], "fvocab": [], "unicode_error": [], "datatyp": [], "no_head": [], "classmethod": [], "1673": [], "1674": [], "utf8": 58, "1675": 34, "1676": 34, "1677": 34, "1678": [], "1679": [], "1717": [], "1718": [], "_load_word2vec_format": [], "1721": [], "1722": [], "2065": [], "binary_chunk_s": [], "2062": [], "kv": [], "vector_s": [], "vocab_s": [], "_word2vec_read_binari": [], "2066": [], "fin": [], "2067": [], "2068": [], "2069": [], "_word2vec_read_text": [], "1958": [], "tot_processed_word": [], "1957": [29, 55], "new_chunk": [], "chunk": [], "processed_word": [], "_add_bytes_to_kv": [], "1961": [], "gzip": [], "301": [32, 40, 41], "gzipfil": [], "299": [30, 34, 56], "oserror": [], "ebadf": [], "_buffer": [], "_compress": [], "decompressread": [], "readinto": [], "memoryview": [], "byte_view": [], "_gzipread": [], "497": [], "buf": [], "_fp": [], "default_buffer_s": [], "uncompress": [], "_decompressor": [], "decompress": [], "unconsumed_tail": [], "word1": [29, 55], "word2": [29, 55], "word3": [29, 55], "sim_word": [29, 55], "most_similar": [29, 55], "pizza": [29, 55], "japan": [29, 55], "jurafski": [29, 55], "martin": [29, 55], "favourit": [29, 55], "philosoph": [29, 55], "centuri": [29, 55], "hockei": [29, 34, 55], "mitten": [29, 55], "mitt": [29, 55], "plastic": [29, 55], "igloo": [29, 55], "vikski": [29, 55], "tariff": [29, 55], "scc": [29, 34, 55], "suprem": [29, 34, 55], "court": [29, 33, 34, 55], "disput": [29, 55], "connot": [29, 55], "amaz": [29, 37, 38, 55], "vec1": [29, 55], "vec2": [29, 55], "vec1_i": [29, 55], "vec2_i": [29, 55], "linalg": [29, 55], "similarity_": [29, 55], "dot_product": [29, 55], "rvert_2": [29, 55], "cosine_similar": [29, 55], "tall": [29, 55], "machu": [29, 55], "picchu": [29, 55], "offici": [29, 55, 57], "kilometr": [29, 55], "mile": [29, 55], "northwest": [29, 55], "cusco": [29, 55], "machu_picchu": [29, 55], "get_onehot_encod": [29, 55], "vocab": [29, 38, 55], "print_cosine_similar": [29, 55], "unique_word": [29, 55], "ohe_df": [29, 55], "cdot": [29, 55], "firth": [29, 55], "ident": [29, 30, 36, 40, 41, 55, 56], "synonym": [29, 55], "harri": [29, 55], "1954": [29, 35, 55], "playground": [29, 55], "bag": [29, 30, 37, 38, 42, 55, 56, 60], "window": [29, 32, 55], "digit": [29, 55], "w_2": [29, 55], "crest": [29, 55], "metr": [29, 55], "sea": [29, 30, 55, 56], "ft": [29, 55], "elev": [29, 55], "window_s": [29, 55], "get_feature_nam": [29, 38, 55], "int8": [29, 55], "wikipedia": [29, 30, 34, 55, 56], "everest": 29, "sequoia": [29, 55], "semperviren": [29, 55], "presid": [29, 55], "extend": [29, 30, 55, 56], "wikipedia2vec": [29, 55], "pretrain": [29, 40, 55], "stanford": [29, 55], "fasttext": [29, 55], "phrase": [29, 34, 55], "british_columbia": [29, 55], "word_pair": [29, 55], "pineappl": [29, 34, 55], "mango": [29, 55], "juic": [29, 55], "sun": [29, 31, 33, 41, 55], "algebra": [29, 55], "mikolov": [29, 55], "2013": [29, 31, 35, 55], "canadien": [29, 55], "uoft": 29, "gauss": [29, 55], "mathematician": [29, 55], "bob_dylan": [29, 55], "computer_programm": [29, 55], "widespread": [29, 55], "programm": [29, 55], "awar": 29, "gigabyt": 29, "en_core_web_lr": [29, 55], "ontonot": [29, 55], "telephon": [29, 55], "newswir": [29, 55], "newsgroup": [29, 55], "broadcast": [29, 55], "weblog": [29, 55], "religi": [29, 55], "paragraph": [29, 34, 55], "avg_sent_emb": [29, 34, 55], "appendix_b": [29, 55], "toy_clust": [29, 55], "promin": [29, 55], "dave": [29, 55], "blei": [29, 55], "lawsuit": [29, 55], "parti": [29, 55], "elect": [29, 55], "david": [29, 55], "dirichlet": [29, 30, 55, 56], "comprehend": [29, 36, 55], "toy_lda_data": [29, 55], "toy_x": [29, 55], "latentdirichletalloc": [29, 55], "n_topic": [29, 55], "n_compon": [29, 52, 55], "learning_method": [29, 55], "batch": [29, 30, 34, 36, 55, 56], "document_top": [29, 55], "components_": [29, 55], "plot_lda_w_vector": [29, 55], "print_top": [29, 34, 55], "topics_per_chunk": [29, 55], "fruit": [29, 55], "nutrit": [29, 55], "peac": [29, 34, 55], "canadian": [29, 34, 37, 55], "constitut": [29, 34, 55], "ic": [29, 34, 55], "wiki_dict": [29, 34, 55], "wiki": [29, 34, 55], "wiki_df": [29, 34, 55], "lemma": [29, 34, 55], "ner": [29, 34, 55], "min_token_len": [29, 34, 55], "irrelevant_po": [29, 34, 55], "adv": [29, 34, 55], "cconj": [29, 34, 55], "min_token_length": [29, 34, 55], "clean_text": [29, 34, 55], "is_stop": [29, 34, 55], "lemma_": [29, 34, 55], "text_pp": [29, 34, 55], "topic2vec": [29, 55], "bertop": [29, 55], "unstructur": [29, 55], "rise": [29, 55], "multicultur": [29, 55], "dr": [29, 55], "scotland": [29, 55], "timber": [29, 55], "ostblom": [29, 55], "rodr\u00edguez": [29, 55], "theirs": [29, 55], "chines": [29, 37, 55], "unambigu": [29, 55], "abbrevi": [29, 55], "whitespac": [29, 32, 55], "regex": [29, 55], "ntoken": [29, 55], "jieba": [29, 55], "german": [29, 55], "rindfleischetikettierungs\u00fcberwachungsaufgaben\u00fcbertragungsgesetz": [29, 55], "deleg": [29, 55], "beef": [29, 37, 55], "morpholog": [29, 55], "tip": [29, 55], "wordnet": [29, 55], "omw": [29, 55], "wordnetlemmat": [29, 55], "crude": [29, 55], "affix": [29, 55], "porterstemm": [29, 55], "bewar": [29, 55], "aggress": [29, 55], "porter": [29, 55], "ps": [29, 55], "nafter": [29, 55], "toolkit": [29, 55], "strength": [29, 38, 51, 55], "lightweight": [29, 55], "nlemma": [29, 55], "npo": [29, 55], "corefer": [29, 55], "resolut": [29, 55], "grammat": [29, 33, 55], "gpe": [29, 55], "dep": [29, 55], "capston": 29, "dan": [29, 55], "previous": [30, 31, 56], "lda": [30, 56], "financ": [30, 31, 56], "multiclass": [30, 56], "hacki": [30, 56], "1v": [30, 56], "2v": [30, 56], "3v": [30, 56], "multinomi": [30, 56], "maxent": 30, "plot_multiclass_lr_ovr": [30, 56], "decision_boundari": [30, 56], "65123329": [30, 56], "0536117": [30, 56], "35418019": [30, 56], "28647501": [30, 56], "63320669": [30, 56], "72513556": [30, 56], "42626721": [30, 56], "21616562": [30, 56], "46941346": [30, 56], "8015491": [30, 56], "22149069": [30, 56], "60653543": [30, 56], "50344795e": [30, 56], "92058424e": [30, 56], "07940073e": [30, 56], "1v2": [30, 56], "1v3": [30, 56], "2v3": [30, 56], "onevsrestclassifi": [30, 56], "onevsoneclassifi": [30, 56], "taken": [30, 31, 56, 57, 60], "x_multi": [30, 56], "y_multi": [30, 56], "x_train_multi": [30, 56], "x_test_multi": [30, 56], "y_train_multi": [30, 56], "y_test_multi": [30, 56], "dark2": [30, 56], "273": 40, "7986666666666666": [], "784": 48, "7093333333333334": [], "664": [], "plot_logistic_regression_graph": [30, 56], "layer": [30, 34, 36, 40, 41, 56], "plot_single_hidden_layer_graph": [30, 56], "plot_two_hidden_layer_graph": [30, 56], "net": [30, 32, 51, 56], "1d": [30, 37, 56], "timeseri": [30, 31, 56], "2d": [30, 37, 56], "hardwar": [30, 56], "Being": [30, 56, 58], "mlpregressor": [30, 56], "mlpclassifi": [30, 56], "ecosystem": [30, 56], "graduat": [30, 56], "player": [30, 34, 55, 56], "heavili": [30, 56], "oreilli": [30, 31, 56], "9781789957211": [30, 56], "decad": [30, 56], "beginn": [30, 56], "transfer_learning_tutori": [30, 56], "20learn": [30, 56], "torch": [30, 36, 40, 41, 56], "lr_schedul": [30, 56], "image_s": [30, 36, 40, 41, 56], "data_transforms_bw": [30, 56], "resiz": [30, 36, 40, 41, 56], "grayscal": [30, 56], "num_output_channel": [30, 56], "totensor": [30, 36, 40, 41, 56], "data_dir": [30, 36, 40, 41, 56], "animal_fac": [30, 36, 56], "image_datasets_bw": [30, 56], "imagefold": [30, 36, 40, 41, 56], "dataloaders_bw": [30, 56], "dataload": [30, 36, 40, 41, 56], "batch_siz": [30, 34, 36, 40, 41, 56], "num_work": [30, 36, 40, 41, 56], "dataset_s": [30, 36, 40, 41, 56], "inputs_bw": [30, 56], "make_grid": [30, 36, 40, 41, 56], "pad": [30, 34, 36, 40, 41, 56], "flickr_cat_000002": [30, 56], "flatten_transform": [30, 40, 56], "train_flatten": [30, 56], "valid_flatten": [30, 56], "train_dataload": [30, 56], "valid_dataload": [30, 56], "flatten_train": [30, 40, 56], "flatten_valid": [30, 56], "40000": [30, 31, 56], "40_000": [30, 56], "3333333333333333": [30, 56], "lr_flatten_pip": [30, 56], "3000": [30, 37, 56], "6666666666666666": [30, 56], "grai": [30, 56], "9764706": [], "16862746": [], "18039216": [], "19607843": [], "float32": [30, 34, 55, 56], "cnn": [30, 31, 56], "architectur": [30, 56], "alexnet": [30, 56], "vgg": [30, 56], "resnet": [30, 56], "mobilenet": [30, 56], "becam": [30, 56], "benchmark": [30, 56], "strip": [30, 56], "readlin": [30, 56], "swan": [30, 56], "cygnu": [30, 56], "atratu": [30, 56], "tusker": [30, 56], "echidna": [30, 56], "spini": [30, 56], "anteat": [30, 56], "platypu": [30, 56], "duckbil": [30, 56], "duck": [30, 56], "ornithorhynchu": [30, 56], "anatinu": [30, 56], "wallabi": [30, 56], "brush": [30, 56], "kangaroo": [30, 56], "koala": [30, 56], "bear": [30, 56], "phascolarcto": [30, 56], "cinereu": [30, 56], "wombat": [30, 56], "jellyfish": [30, 56], "anemon": [30, 56], "coral": [30, 56], "vgg16": [30, 36, 40, 41, 56], "spit": [30, 56], "cezannec": [30, 40, 56], "convolutional_neural_network": [30, 40, 56], "vgg16_weight": [30, 56], "centercrop": [30, 56], "485": [30, 56], "456": [30, 32, 56], "229": [30, 33, 56], "225": [30, 56], "img_t": [30, 56], "batch_t": [30, 56], "unsqueez": [30, 56], "eval": [30, 56], "softmax": [30, 56], "dim": [30, 36, 40, 41, 56], "idx": [30, 36, 56], "983": 30, "353": [30, 32, 41], "714": 30, "guenon": 30, "091": 30, "080": 30, "065": 30, "ubc_img": [30, 56], "637": [30, 32], "pomegran": 30, "193": [30, 40, 41], "041": 30, "crate": 30, "safeti": 30, "060": 30, "bannist": 30, "banist": 30, "balustrad": 30, "balust": 30, "handrail": 30, "039": 30, "bubbl": 30, "worm": 30, "rail": 30, "virginia": 30, "barn": 30, "sorrel": 30, "033": 30, "vallei": 30, "vale": 30, "029": [30, 50, 55], "patio": 30, "terrac": 30, "fountain": 30, "lakesid": 30, "lakeshor": 30, "097": 30, "sundial": 30, "proper": [30, 56], "cuda": [30, 36, 40, 41, 56], "is_avail": [30, 36, 40, 41, 56], "data_transform": [30, 36, 40, 41, 56], "randomresizedcrop": [30, 56], "randomhorizontalflip": [30, 56], "image_dataset": [30, 36, 40, 41, 56], "densenet121": [30, 36, 40, 41, 56], "get_featur": [30, 36, 40, 41, 56], "train_load": [30, 56], "valid_load": [30, 56], "squeezenet": [30, 56], "no_grad": [30, 36, 40, 41, 56], "z_train": [30, 36, 40, 41, 56], "1024": [30, 31, 36, 40, 41, 56], "tensor": [30, 36, 40, 41, 56], "z_valid": [30, 36, 56], "detach": [30, 36, 40, 41, 56], "densenet": [30, 36, 40, 41, 56], "densenet121_weight": [30, 36, 40, 41, 56], "imagenet1k_v1": [30, 36, 40, 41, 56], "towardsdatasci": [30, 32, 56], "7f688092391a": [30, 56], "1015": [30, 31, 36, 56], "1017": [30, 31, 36, 56], "1018": [30, 31, 36, 56], "1019": [30, 31, 36, 56], "1021": [30, 31, 36, 56], "1022": [30, 31, 36, 56], "1023": [30, 31, 36, 56], "000483": 30, "009694": 30, "002966": 30, "003535": 30, "079649": 30, "645208": 30, "000452": 30, "001325": 30, "198396": 30, "000328": [30, 36], "126623": 30, "266533": 30, "924311": 30, "007297": 30, "381509": 30, "053698": 30, "325764": 30, "130841": 30, "128843": 30, "764958": 30, "000284": 30, "002102": 30, "002955": 30, "002685": [30, 46], "111121": 30, "212284": 30, "000984": 30, "002903": 30, "414740": 30, "000348": 30, "277046": 30, "424268": 30, "544169": 30, "662279": 30, "593259": 30, "492394": 30, "060665": 30, "524364": 30, "665433": 30, "070349": 30, "000390": 30, "002905": 30, "002416": 30, "003127": 30, "094314": 30, "461192": 30, "000359": 30, "003267": 30, "576526": 30, "000422": 30, "033064": 30, "531866": 30, "567041": 30, "050661": 30, "143195": 30, "206287": 30, "717478": 30, "991739": 30, "127004": 30, "912218": 30, "000374": [30, 36], "002893": 30, "005851": 30, "004015": 30, "091863": 30, "542394": 30, "000349": 30, "003279": [30, 56], "248737": 30, "000273": 30, "747940": 30, "114120": 30, "534144": 30, "278105": 30, "971214": 30, "291732": 30, "099902": 30, "781434": 30, "016797": 30, "517829": 30, "000386": 30, "003049": 30, "001335": 30, "000729": 30, "145898": 30, "681336": 30, "001091": 30, "001438": 30, "198613": 30, "000183": 30, "258712": 30, "296962": 30, "163084": 30, "006049": 30, "179923": 30, "772564": 30, "183432": 30, "651511": 30, "556854": 30, "897929": 30, "8933333333333333": 30, "2015": [30, 31, 35, 56], "inception": [30, 56], "dream": [30, 56], "funki": [30, 56], "audio": [30, 56, 57], "timeseriessplit": 31, "pitfal": 31, "everywher": [31, 34], "consumpt": 31, "analyt": 31, "rental": 31, "station": 31, "subscript": [31, 32], "rent": [31, 38], "citibik": 31, "load_citibik": 31, "starttim": 31, "3h": 31, "intrins": 31, "timestamp": 31, "august": 31, "date_rang": 31, "strftime": 31, "rotat": 31, "linewidth": 31, "weekdai": 31, "train_df_sort": 31, "test_df_sort": 31, "248": [31, 41], "fist": 31, "n_train": 31, "januari": 31, "1438387200": 31, "1438398000": 31, "1438408800": 31, "1438419600": 31, "1438430400": 31, "1438441200": 31, "1438452000": 31, "1438462800": 31, "1438473600": 31, "1438484400": 31, "9781449369880": 31, "eval_on_featur": 31, "sales_data": 31, "y_pred_train": 31, "extrapol": 31, "datetimeindex": 31, "datetime64": 31, "ns": 31, "month_nam": 31, "dayofweek": 31, "day_nam": 31, "saturdai": [31, 38], "sundai": 31, "x_hour": 31, "x_hour_week": 31, "hstack": 31, "x_hour_week_onehot": 31, "02d": 31, "mon": 31, "wed": 31, "fri": 31, "243": [31, 32], "244": [31, 32], "245": [31, 32, 34], "246": [31, 32, 40], "247": [31, 41], "poly_transform": 31, "x_hour_week_onehot_poli": 31, "features_poli": 31, "df_hour_week_ohe_poli": 31, "features_nonzero": 31, "coef_nonzero": 31, "196739": 31, "005809": 31, "437684": 31, "362009": 31, "907595": 31, "085150": 31, "693898": 31, "111220": 31, "757591": 31, "033267": 31, "wednesdai": [31, 38], "midnight": [31, 57], "correl": [31, 42, 51], "autocorrel": 31, "acf": 31, "shift": [31, 58], "rentals_df": 31, "n_rental": 31, "create_lag_df": 31, "rentals_lag5": 31, "x_lag_featur": 31, "x_lag_features_imp": 31, "features_lag": 31, "165145": 31, "049007": 31, "215227": 31, "258891": 31, "373974": 31, "rf": [31, 32], "x_hour_week_onehot_poly_lag": 31, "tscv": 31, "001193": [], "642676": 31, "873182": 31, "000554": [], "000226": [], "828405": 31, "874305": 31, "000911": [], "773851": 31, "901262": 31, "000948": 15, "000269": 44, "696712": 31, "889429": 31, "000825": [], "892733": 31, "863889": 31, "septemb": 31, "rentals_lag5_x": 31, "024291": 31, "004065": 31, "004082": 31, "040984": 31, "045267": 31, "rentals_lag5_i": 31, "rentals_model": 31, "x_test_pr": 31, "predicted_n_rent": 31, "emploi": [31, 36, 59], "jointli": 31, "raintomorrow": 31, "rainin2dai": 31, "31st": 31, "accessori": 31, "loui": 31, "retail_df": 31, "mrtssm448usn": 31, "1992": 31, "7524": 31, "8475": 31, "9401": 31, "9558": 31, "upto": 31, "retail_df_train": 31, "20160101": 31, "retail_df_test": 31, "lag_df": 31, "retail_lag_5": 31, "retail_train_5": 31, "retail_test_5": 31, "19266": 31, "22452": 31, "20694": 31, "19781": 31, "22260": 31, "20485": 31, "20794": 31, "23175": 31, "287": 31, "33590": 31, "288": 31, "15775": 31, "289": 31, "9182": 31, "9103": 31, "10513": 31, "9573": 31, "10254": 31, "retail_train_5_x": 31, "retail_train_5_i": 31, "retail_model": 31, "19032": 31, "21581": 31, "20514": 31, "21774": 31, "20274": 31, "364": 31, "26831": 31, "25904": 31, "25622": 31, "20509": 31, "18113": 31, "39375": 31, "365": 31, "25031": 31, "25214": 31, "367": [31, 41], "26376": 31, "23941": 31, "17896": 31, "21694": 31, "21603": 31, "21847": 31, "21405": 31, "20564": 31, "22154": 31, "26063": 31, "21389": 31, "22320": 31, "30167": 31, "16153": 31, "18096": 31, "20310": 31, "21353": 31, "22826": 31, "21697": 31, "21549": 31, "27206": 31, "21571": 31, "22057": 31, "28953": 31, "16160": 31, "18000": 31, "21596": 31, "22910": 31, "22225": 31, "28327": 31, "20620": 31, "22114": 31, "30279": 31, "21605": 31, "21668": 31, "18313": 31, "18245": 31, "20319": 31, "23290": 31, "22788": 31, "28362": 31, "22219": 31, "21530": 31, "29881": 31, "21617": 31, "21670": 31, "19380": 31, "16157": 31, "18955": 31, "22078": 31, "13107": 31, "11057": 31, "10910": 31, "15429": 31, "13255": 31, "10868": 31, "18311": 31, "21274": 31, "23902": 31, "14813": 31, "17518": 31, "18533": 31, "30146": 31, "29691": 31, "15661": 31, "27638": 31, "19365": 31, "25176": 31, "27021": 31, "28854": 31, "15915": 31, "16358": 31, "20334": 31, "22550": 31, "18116": 31, "17144": 31, "16533": 31, "25037": 31, "17205": 31, "retail_test_5_pr": 31, "predicted_sal": 31, "februari": [31, 38], "retail_train_5_d": 31, "first_day_retail": 31, "days_sinc": 31, "152": [31, 34, 40], "182": [31, 41], "unlimit": 31, "growth": [31, 32], "forev": 31, "9100": 31, "rain_df": 31, "weatherau": 31, "mintemp": 31, "maxtemp": 31, "rainfal": 31, "evapor": 31, "windgustdir": 31, "windgustspe": 31, "winddir9am": 31, "humidity9am": 31, "humidity3pm": 31, "pressure9am": 31, "pressure3pm": 31, "cloud9am": 31, "cloud3pm": 31, "temp9am": 31, "temp3pm": 31, "raintodai": 31, "alburi": 31, "1007": 31, "wnw": 31, "nnw": 31, "1010": 31, "wsw": 31, "1008": 31, "ne": 31, "se": [31, 32], "1012": 31, "1006": 31, "145460": 31, "145459": 31, "143975": 31, "144199": 31, "142199": 31, "82670": 31, "75625": 31, "135134": 31, "135197": 31, "134894": 31, "winddir3pm": 31, "141232": 31, "windspeed9am": 31, "143693": [31, 34], "windspeed3pm": 31, "142398": 31, "142806": 31, "140953": 31, "130395": 31, "130432": 31, "89572": 31, "86102": 31, "141851": 31, "142193": 31, "00000": [31, 38], "3436": 31, "canberra": 31, "9915": 31, "11758": 31, "110319": 31, "110316": 31, "194034": 31, "221348": 31, "360918": 31, "468232": 31, "611178": 31, "035230": 31, "880831": 31, "539116": 31, "64994": 31, "255889": 31, "447461": 31, "509930": 31, "990631": 31, "68339": 31, "398495": 31, "119049": 31, "478060": 31, "193704": 31, "785483": 31, "607062": 31, "029164": 31, "795902": 31, "10653": 31, "037414": 31, "887159": 31, "720357": 31, "488753": 31, "93665": 31, "800000": 31, "980": 31, "50000": 31, "200000": 31, "90000": 31, "400000": 31, "60000": 31, "700000": 31, "145": [31, 36, 40, 41, 51], "1039": 31, "70000": 31, "notna": 31, "mm": 31, "dd": 31, "yyyi": 31, "45am": 31, "45a": 31, "zone": 31, "daylight": 31, "thankfulli": 31, "dates_rain": 31, "to_datetim": 31, "145454": 31, "145455": 31, "145456": 31, "145457": 31, "145458": 31, "timedelta": 31, "total_second": 31, "86400": 31, "is_year_end": 31, "is_leap_year": 31, "uluru": 31, "es": [31, 58], "sse": 31, "45587": 31, "nw": 31, "sw": 31, "45588": 31, "45589": 31, "1009": 31, "45590": 31, "1005": 31, "45591": 31, "6048": 31, "badgeryscreek": 31, "93279": 31, "goldcoast": 31, "nne": 31, "55101": 31, "mountginini": 31, "96319": 31, "townsvil": 31, "52061": 31, "tuggeranong": 31, "96320": 31, "adelaid": 31, "96321": 31, "ssw": 31, "96322": 31, "1027": 31, "96323": 31, "1028": 31, "1025": 31, "96325": 31, "groupbi": 31, "diff": 31, "3016": 31, "albani": 31, "2993": 31, "20150630": 31, "107502": 31, "34691": 31, "24397122221206388": 31, "sydnei": 31, "144733": 31, "107050": 31, "107292": 31, "106424": 31, "66221": 31, "62320": 31, "100103": 31, "100146": 31, "99515": 31, "105314": 31, "106322": 31, "106319": 31, "106112": 31, "106180": 31, "97217": 31, "97253": 31, "68523": 31, "67501": 31, "106705": 31, "106816": 31, "preprocess_featur": 31, "all_featur": 31, "winddir3pm_ss": 31, "winddir3pm_ssw": 31, "winddir3pm_sw": 31, "winddir3pm_w": 31, "winddir3pm_wnw": 31, "winddir3pm_wsw": 31, "winddir3pm_miss": 31, "raintoday_no": 31, "raintoday_y": 31, "raintoday_miss": 31, "204302": 31, "027112": 31, "205323": 31, "140641": 31, "160729": 31, "298612": 31, "666166": 31, "599894": 31, "115428": 31, "433514": 31, "741037": 31, "287031": 31, "275008": 31, "125617": 31, "373275": 31, "314929": 31, "288002": 31, "125523": 31, "372706": 31, "450132": 31, "554180": 31, "826513": 31, "632786": 31, "045481": 31, "457435": 31, "701128": 31, "216596": 31, "341712": 31, "099749": 31, "261953": 31, "724539": 31, "850283": 31, "315134": 31, "158867": 31, "071330": 31, "789657": 31, "146656": 31, "698167": 31, "899969": 31, "451": 32, "sample_weight": [], "449": 32, "450": [], "705": [], "classifiermixin": [], "680": 48, "681": [], "682": [], "702": [], "703": [], "_param_valid": [], "validate_param": [], "decor": 48, "config_context": [], "skip_parameter_valid": [], "prefer_skip_nested_valid": [], "global_skip_valid": [], "invalidparametererror": [], "218": [40, 41], "__qualname__": [], "220": [], "_classif": [], "y_true": [], "154": 40, "multilabel": [], "y_type": [], "_check_target": [], "check_consistent_length": [], "222": [], "type_tru": [], "type_of_target": [], "input_nam": [], "type_pr": [], "409": [], "408": [], "411": [], "score_lr_print_coeff": 31, "train_df_ord": 31, "y_train_ord": 31, "first_dai": 31, "winter": 31, "get_season": 31, "winter_month": 31, "june": [31, 38], "juli": 31, "autumn_month": 31, "march": 31, "april": 31, "summer_month": 31, "spring_month": 31, "autumn": 31, "coeff_df": 31, "season_fal": 31, "season_summ": 31, "season_wint": 31, "season_autumn": 31, "rainfall_lag1": 31, "create_lag_featur": 31, "orig_featur": 31, "new_df": 31, "new_feature_nam": 31, "s_lag": 31, "df_locat": 31, "2295": 31, "rain_df_modifi": 31, "rainfall_lag2": 31, "rainfall_lag3": 31, "humidity3pm_lag1": 31, "arima": 31, "statsmodel": [31, 32], "tsa": 31, "arima_model": 31, "took": 31, "recurr": 31, "rnn": 31, "540": 31, "lstm": 31, "consecut": 31, "prophet": 31, "sktime": 31, "tslearn": 31, "expenditur": 31, "functiontransform": [32, 37], "max_row": 32, "telecom": 32, "retent": 32, "wa_fn": 32, "usec_": 32, "telco": 32, "customerid": 32, "seniorcitizen": 32, "tenur": 32, "phoneservic": 32, "multiplelin": 32, "internetservic": 32, "onlinesecur": 32, "deviceprotect": 32, "techsupport": 32, "streamingtv": 32, "streamingmovi": 32, "paperlessbil": 32, "paymentmethod": 32, "monthlycharg": 32, "totalcharg": 32, "6464": 32, "4726": 32, "dlwqn": 32, "dsl": 32, "5707": 32, "4537": 32, "dktal": 32, "electron": 32, "3442": 32, "0468": 32, "yrpxn": 32, "fiber": 32, "2807": 32, "3932": 32, "necvq": 32, "6124": 32, "7153": 32, "chrbv": 32, "mail": 32, "3274": [32, 54], "5282": 32, "3912": 32, "onlinebackup": 32, "907": 32, "4430": 32, "hmmm": 32, "7043": 32, "7042": 32, "6324": 32, "6317": 32, "6318": 32, "6319": 32, "6323": 32, "new_data": 32, "_mgr": 32, "6325": 32, "_constructor": 32, "__finalize__": 32, "6327": 32, "gh": 32, "33113": 32, "baseblockmanag": 32, "448": 32, "using_copy_on_writ": 32, "452": 32, "453": 32, "454": 32, "455": 32, "using_cow": 32, "352": 32, "align_kei": 32, "351": 32, "getattr": [28, 32, 58, 59], "result_block": 32, "extend_block": 32, "355": [32, 41], "from_block": 32, "491": 32, "coerc": 32, "507": 32, "509": [32, 51], "new_valu": 32, "astype_array_saf": 32, "maybe_coerce_valu": 32, "515": 32, "ref": 32, "242": 32, "239": 32, "numpy_dtyp": 32, "241": 32, "astype_arrai": 32, "_astype_nansaf": 32, "189": [32, 37], "issubclass": 32, "arr": [28, 32], "skipna": 32, "is_object_dtyp": 32, "argh": 32, "5274": 32, "multiplelines_no": [], "phone": [], "multiplelines_y": [], "partner_no": 32, "partner_y": [], "deviceprotection_no": 32, "paymentmethod_mail": [], "onlinesecurity_no": 32, "onlinesecurity_y": 32, "paperlessbilling_no": [], "paperlessbilling_y": [], "techsupport_no": 32, "techsupport_y": 32, "707712": 32, "185175": 32, "513678": 32, "248999": 32, "641538": 32, "979562": 32, "148349": 32, "133562": 32, "226789": 32, "458524": 32, "950696": 32, "993065": 32, "183179": 32, "433814": 32, "741": 32, "047": [], "3516": 32, "733": 32, "333": [34, 37, 41], "021": [], "791": 48, "3524": [], "388": [], "731": [], "639": [], "promot": 32, "unemploi": 32, "surgeri": 32, "tempor": 32, "occurr": [32, 33], "train_df_churn": 32, "test_df_churn": 32, "8098": 32, "llazx": 32, "5540": 32, "3803": 32, "kmqfw": 32, "4084": 32, "2777": 32, "phdei": 32, "3272": 32, "6772": 32, "ksatr": 32, "preprocessing_notenur": 32, "tenure_lm": 32, "tenure_predict": 32, "062449": 32, "198645": 32, "859455": 32, "865562": 32, "154842": 32, "757932": 32, "932070": 32, "720893": 32, "818041": 32, "263541": 32, "underestim": 32, "subscrib": 32, "400047": 32, "220392": 32, "332746": 32, "825470": 32, "885968": 32, "075453": 32, "731498": 32, "407862": 32, "425365": 32, "854500": 32, "shorter": 32, "Its": 32, "redefin": 32, "preprocessing_fin": 32, "train_df_surv": 32, "test_df_surv": 32, "paymentmethod_electron": 32, "kaplanmeierfitt": 32, "kmf": 32, "survival_function_": 32, "6391518364256": 32, "854744525547446": 32, "816717791411044": 32, "histogram": 32, "hadn": [32, 55], "cite": 32, "57000": 32, "subgroup": 32, "senior": 32, "event_observ": 32, "citizen": 32, "ylim": 32, "assumpt": 32, "cph": 32, "coxphfitt": 32, "duration_col": 32, "event_col": 32, "fyi": 32, "elast": [32, 51], "cph_param": 32, "params_": 32, "contract_month": 32, "812875": 32, "311151": 32, "onlinebackup_no": 32, "298561": 32, "280801": 32, "244814": 32, "onlinebackup_y": 32, "282600": 32, "paymentmethod_credit": 32, "302801": 32, "330346": 32, "contract_on": 32, "351821": 32, "contract_two": 32, "776427": 32, "baseline_hazard_": 32, "baselin": [32, 36, 59], "cmp": 32, "log2": 32, "019556": 32, "980634": 32, "057254": 32, "131773": 32, "092660": 32, "876540": 32, "097088": 32, "341571": 32, "732674": 32, "448757": 32, "003185": 32, "996820": 32, "040129": 32, "081837": 32, "075467": 32, "921422": 32, "078387": 32, "079377": 32, "936733": 32, "094290": 32, "162904": [], "176924": [], "066166": [], "033222": [], "292587": [], "033780": [], "339889": [], "462060": [], "013814": [], "177709": [], "014650": [], "014758": [], "127087": [], "234436": [], "263736": [], "791017": [], "301784": [], "115276": [], "908227": [], "138876": [], "171899": [], "842064": [], "066810": [], "302844": [], "040954": [], "738715": [], "959873": [], "572962": [], "010083": [], "631899": [], "075063": [], "927685": [], "068817": [], "209943": [], "059816": [], "810631": [], "061641": [], "090765": [], "275376": [], "860523": [], "077953": [], "941938": [], "233608": [], "212303": [], "236522": [], "069653": [], "075786": [], "348820": [], "078732": [], "417394": [], "048022": [], "002304": [], "761936": [], "057267": 32, "944342": 32, "100970": 32, "255165": 32, "140631": 32, "774789": 32, "150999": 32, "567169": 32, "570599": 32, "809450": 32, "212133": [], "808857": [], "072954": [], "355121": [], "069145": [], "701089": [], "933191": [], "907752": [], "003640": [], "101699": [], "117063": 32, "internetservice_fib": 32, "522513": 32, "349206": 32, "311261": 32, "253954": 32, "172977": 32, "242936": 32, "260652": 32, "internetservice_dsl": 32, "416242": 32, "019200": 32, "diagnost": 32, "former": 32, "plot_partial_effects_on_outcom": 32, "10_000": [32, 38], "monthli": 32, "deviceprotection_y": 32, "941": 32, "154900": 32, "383246": 32, "5515": 32, "514920": 32, "3684": 32, "351852": 32, "7017": 32, "471584": 32, "predict_expect": 32, "206724": 32, "023086": 32, "608565": 32, "565062": 32, "890933": 32, "predict_survival_funct": 32, "outlook": [32, 38], "train_df_surv_not_churn": 32, "conditional_aft": 32, "996788": 32, "991966": 32, "989443": 32, "982570": 32, "429634": 32, "xlim": 32, "lifetim": 32, "prediciton": 32, "forward": [32, 34], "likelihood": [32, 52], "8641864337292489": 32, "7277854625841886": 32, "concord": 32, "concordance_index_": 32, "8625888648969532": 32, "scoring_method": 32, "concordance_index": 32, "8546143543902771": 32, "anti": 32, "log_likelihood_ratio_test": 32, "check_assumpt": 32, "df_train_surv": 32, "pysurviv": 32, "di": 32, "incorrect": [32, 58, 59], "encompass": 32, "km": [32, 40, 41, 52], "zachari": 32, "40b5a809b05a": 32, "2d454e5fd9a5": 32, "e737c5242822": 32, "504fde4fcf8": 32, "readthedoc": 32, "20analysi": 32, "20with": 32, "20lifelin": 32, "20intro": 32, "trigram": 33, "mother": [33, 38], "asap": 33, "sender": 33, "recipi": 33, "thread": 33, "related": 33, "w_i": 33, "d_j": 33, "tf_": 33, "df_i": 33, "contigu": 33, "bigram": 33, "nameerror": 33, "googleblog": 33, "toyou": 33, "enorm": 33, "024": [33, 50], "267": [33, 41], "663": 33, "588": [33, 43, 46], "women": [33, 38], "syntact": 33, "____": 33, "proper_noun": 33, "compel": 33, "law": [33, 34, 37], "pronoun": 33, "stopword": 34, "5486e": 34, "2584e": 34, "2793e": 34, "8801e": 34, "0700e": 34, "3299e": 34, "6833e": 34, "5131e": 34, "7041e": 34, "7749e": 34, "5029e": 34, "7764e": 34, "7324e": 34, "6241e": 34, "6455e": 34, "0840e": 34, "5715e": 34, "2903e": 34, "3571e": 34, "8793e": 34, "7635e": 34, "9372e": 34, "9900e": 34, "8284e": 34, "4018e": 34, "1673e": 34, "9244e": 34, "0629e": 34, "3378e": 34, "3864e": 34, "5646e": 34, "7198e": 34, "4607e": 34, "4614e": 34, "3352e": 34, "8177e": 34, "7254e": 34, "9624e": 34, "1314e": 34, "5295e": 34, "8629e": 34, "7562e": 34, "1799e": 34, "5554e": 34, "4230e": 34, "7167e": 34, "1793e": 34, "0961e": 34, "3121e": 34, "2322e": 34, "4375e": 34, "2099e": 34, "2814e": 34, "9051e": 34, "0593e": 34, "1895e": 34, "1495e": 34, "0444e": 34, "2073e": 34, "8856e": 34, "6554e": 34, "1932e": 34, "6678e": 34, "5454e": 34, "2078e": 34, "5709e": 34, "1324e": 34, "0163e": 34, "4567e": 34, "4244e": 34, "9425e": 34, "3090e": 34, "7428e": 34, "1676e": 34, "8830e": 34, "4857e": 34, "2018e": 34, "3073e": 34, "2553e": 34, "5853e": 34, "8452e": 34, "2523e": 34, "7129e": 34, "6348e": 34, "3506e": 34, "7429e": 34, "0469e": 34, "9319e": 34, "6099e": 34, "8484e": 34, "3795e": 34, "0948e": 34, "1545e": 34, "9681e": 34, "0455e": 34, "4820e": 34, "1131e": 34, "1827e": 34, "7559e": 34, "4502e": 34, "8897e": 34, "7430e": 34, "5742e": 34, "7160e": 34, "4764e": 34, "5828e": 34, "3866e": 34, "3150e": 34, "3863e": 34, "1536e": 34, "7656e": 34, "0245e": 34, "6807e": 34, "2850e": 34, "6425e": 34, "7782e": 34, "2221e": 34, "1392e": 34, "3269e": 34, "1582e": 34, "6331e": 34, "8109e": 34, "0985e": 34, "2942e": 34, "6438e": 34, "9306e": 34, "0776e": 34, "8022e": 34, "5356e": 34, "6405e": 34, "1761e": 34, "4960e": 34, "2266e": 34, "5264e": 34, "0226e": 34, "5735e": 34, "5090e": 34, "0587e": 34, "5471e": 34, "3910e": 34, "6574e": 34, "6376e": 34, "4926e": 34, "8819e": 34, "9256e": 34, "1512e": 34, "2091e": 34, "6460e": 34, "6747e": 34, "7082e": 34, "5789e": 34, "8982e": 34, "2842e": 34, "1286e": 34, "6392e": 34, "2199e": 34, "5850e": 34, "3628e": 34, "3231e": 34, "2350e": 34, "5602e": 34, "7751e": 34, "0511e": 34, "8997e": 34, "1051e": 34, "3014e": 34, "2024e": 34, "2354e": 34, "1913e": 34, "1978e": 34, "5625e": 34, "5975e": 34, "5911e": 34, "2413e": 34, "8988e": 34, "0542e": 34, "8894e": 34, "4278e": 34, "3625e": 34, "0979e": 34, "3275e": 34, "0514e": 34, "4583e": 34, "3326e": 34, "3684e": 34, "8493e": 34, "2075e": 34, "2708e": 34, "8701e": 34, "0855e": 34, "5334e": 34, "3050e": 34, "2246e": 34, "6824e": 34, "8289e": 34, "8230e": 34, "2047e": 34, "4848e": 34, "3042e": 34, "0358e": 34, "7074e": 34, "6816e": 34, "1017e": 34, "2943e": 34, "4274e": 34, "6128e": 34, "3127e": 34, "0264e": 34, "2928e": 34, "7298e": 34, "1075e": 34, "0250e": 34, "6928e": 34, "0074e": 34, "5464e": 34, "6378e": 34, "5970e": 34, "2128e": 34, "7607e": 34, "8260e": 34, "5962e": 34, "4320e": 34, "8332e": 34, "1438e": 34, "4723e": 34, "4913e": 34, "2585e": 34, "6819e": 34, "3947e": 34, "7173e": 34, "4134e": 34, "6530e": 34, "7728e": 34, "9815e": 34, "6895e": 34, "1146e": 34, "2025e": 34, "4129e": 34, "9695e": 34, "7711e": 34, "2278e": 34, "3727e": 34, "9276e": 34, "5440e": 34, "7169e": 34, "5736e": 34, "4620e": 34, "1244e": 34, "4633e": 34, "2685e": 34, "2459e": 34, "0362e": 34, "8331e": 34, "3194e": 34, "4082e": 34, "0132e": 34, "0541e": 34, "2632e": 34, "7800e": 34, "1647e": 34, "0785e": 34, "2112e": 34, "3496e": 34, "0599e": 34, "2607e": 34, "0194e": 34, "8586e": 34, "0107e": 34, "5924e": 34, "1770e": 34, "3246e": 34, "2268e": 34, "3978e": 34, "1841e": 34, "6548e": 34, "3903e": 34, "3376e": 34, "7083e": 34, "8377e": 34, "3031e": 34, "3292e": 34, "1567e": 34, "3419e": 34, "3412e": 34, "5887e": 34, "4468e": 34, "4031e": 34, "1785e": 34, "1524e": 34, "1699e": 34, "8752e": 34, "0660e": 34, "1852e": 34, "1228e": 34, "0012e": 34, "2234e": 34, "7454e": 34, "1885e": 34, "010289": 34, "48081": 34, "5738": 34, "1697": 34, "0116": 34, "4216": 34, "7343": 34, "3025": 34, "459937": [34, 55], "9785299": [34, 55], "0319": [34, 55], "5123": [34, 55], "4806334": [34, 55], "73183": [34, 55], "1724668": [34, 55], "5227966": [34, 55], "05656664": [34, 55], "doc1": 34, "doc2": 34, "doc3": 34, "bread": 34, "butter": 34, "chees": 34, "699868820717508": 34, "5098293421139041": 34, "aa": 34, "airline_senti": 34, "_unit_id": 34, "_golden": 34, "_unit_st": 34, "_trusted_judg": 34, "_last_judgment_at": 34, "negativereason": 34, "airline_sentiment_gold": 34, "negativereason_gold": 34, "retweet_count": 34, "tweet_coord": 34, "tweet_creat": 34, "tweet_id": 34, "tweet_loc": 34, "user_timezon": 34, "681455792": 34, "6667": 34, "southwest": 34, "mrssuperdimmock": 34, "southwestair": 34, "686040e": 34, "lake": 34, "arrowhead": 34, "pacif": 34, "8918": 34, "681459957": 34, "delta": 34, "jetblu": 34, "okayyyi": 34, "iron": 34, "677500e": 34, "11688": 34, "681462990": 34, "6727": 34, "airwai": 34, "dropmeanywher": 34, "usairwai": 34, "678190e": 34, "arizona": 34, "681448905": 34, "virgin": 34, "jsamaudio": 34, "virginamerica": 34, "681440e": 34, "franci": 34, "calif": 34, "4135": 34, "681454122": 34, "3544": 34, "cajunsql": 34, "678110e": 34, "baton": 34, "roug": 34, "la": 34, "11712": 34, "13064": 34, "x_train_embed": 34, "x_test_embed": 34, "1618": 34, "as_tupl": 34, "component_cfg": 34, "n_process": 34, "1616": 34, "1617": 34, "1685": 34, "_pipe": 34, "proc": 34, "default_error_handl": 34, "pipecal": 34, "1682": 34, "1683": 34, "1684": 34, "hasattr": 34, "1686": 34, "1688": [34, 51], "transition_pars": 34, "pyx": 34, "251": [], "264": [], "greedy_pars": [], "thinc": 34, "outt": 34, "331": [34, 41], "is_train": 34, "332": [34, 41], "tupl": [34, 40, 41], "_func": 34, "tb_framework": [], "step_model": [], "parserstepmodel": [], "unseen_class": [], "attr": [], "has_upp": [], "finish_step": [], "parser_model": [], "250": [], "310": [34, 40, 41, 48], "callabl": [34, 40, 41], "308": [34, 40, 41, 48], "gradient": [34, 42], "backpropag": 34, "inc_layer_grad": 34, "skip": 34, "with_arrai": 34, "xseq": 34, "seqt": 34, "rag": [], "_ragged_forward": [], "_padded_forward": [], "xr": [], "arrayxd": [], "get_dx": [], "dataxd": [], "backprop": 34, "dyr": [], "maxout": 34, "get_param": [34, 36, 58], "reshape2f": 34, "nO": 34, "ni": 34, "gemm": 34, "trans2": 34, "reshape1f": 34, "reshape3f": 34, "295": [34, 41], "298": [34, 41], "259942": 34, "856640": 34, "677500": 34, "875390": 34, "459240": 34, "304300": 34, "273020": 34, "008458": 34, "818360": 34, "002320": 34, "555840": 34, "274170": 34, "716420": 34, "296220": 34, "403746": 34, "430054": 34, "107044": 34, "224080": 34, "903256": 34, "295254": 34, "563826": 34, "869816": 34, "462877": 34, "057751": 34, "892089": 34, "566698": 34, "283121": 34, "594112": 34, "578107": 34, "037976": 34, "270313": 34, "948990": 34, "653996": 34, "631425": 34, "850329": 34, "432467": 34, "979464": 34, "015146": 34, "604236": 34, "188137": 34, "707503": 34, "908782": 34, "248327": 34, "667797": 34, "590958": 34, "246804": 34, "095754": 34, "953429": 34, "524224": 34, "593270": 34, "948402": 34, "760466": 34, "369070": 34, "204359": 34, "357214": 34, "389199": 34, "205336": 34, "100318": 34, "950879": 34, "399726": 34, "977736": 34, "676425": 34, "224362": 34, "011286": 34, "981441": 34, "132660": 34, "988456": 34, "997113": 34, "553975": 34, "539687": 34, "229152": 34, "099266": 34, "652113": 34, "036738": 34, "315839": 34, "429018": 34, "557437": 34, "333650": 34, "281916": 34, "587222": 34, "725984": 34, "178514": 34, "163662": 34, "597000": 34, "621603": 34, "166608": 34, "256955": 34, "940082": 34, "530063": 34, "816050": 34, "398607": 34, "219403": 34, "925384": 34, "751906": 34, "969212": 34, "381326": 34, "146303": 34, "195811": 34, "914482": 34, "297692": 34, "lgr": 34, "essenti": 34, "sentence_transform": 34, "sentencetransform": 34, "embedd": 34, "paraphras": 34, "distilroberta": 34, "emb_sent": 34, "emb_train": 34, "emb_train_df": 34, "759": 34, "760": 34, "761": 34, "764": 34, "766": 34, "120494": 34, "250263": 34, "022795": 34, "116368": 34, "078650": 34, "037357": 34, "251341": 34, "321429": 34, "143984": 34, "123486": 34, "199150": 34, "150143": 34, "167078": 34, "407671": 34, "066161": 34, "049514": 34, "019384": 34, "357602": 34, "125996": 34, "381074": 34, "182954": 34, "118282": 34, "066341": 34, "136098": 34, "094947": 34, "121303": 34, "069233": 34, "097500": 34, "025740": 34, "367981": 34, "113612": 34, "114662": 34, "049926": 34, "256736": 34, "118687": 34, "190720": 34, "011985": 34, "141883": 34, "230142": 34, "024899": 34, "032988": 34, "630251": 34, "079516": 34, "148981": 34, "194708": 34, "226263": 34, "043630": 34, "217398": 34, "069644": 34, "676791": 34, "244484": 34, "051042": 34, "064099": 34, "146945": 34, "090878": 34, "090060": 34, "077211": 34, "209226": 34, "308773": 34, "119258": 34, "172168": 34, "098697": 34, "319858": 34, "415475": 34, "248359": 34, "025923": 34, "385350": 34, "066414": 34, "334289": 34, "128482": 34, "232446": 34, "077805": 34, "181329": 34, "123244": 34, "660457": 34, "048714": 34, "204774": 34, "163497": 34, "094240": 34, "360193": 34, "213747": 34, "363690": 34, "275521": 34, "134936": 34, "276319": 34, "009336": 34, "021523": 34, "258992": 34, "474885": 34, "242125": 34, "294533": 34, "279013": 34, "037831": 34, "089761": 34, "548748": 34, "049258": 34, "154525": 34, "141268": 34, "204408": 34, "145289": 34, "064201": 34, "213571": 34, "140225": 34, "338556": 34, "148578": 34, "224515": 34, "042963": 34, "075930": 34, "161948": 34, "040582": 34, "003971": 34, "152549": 34, "582907": 34, "126526": 34, "060502": 34, "111495": 34, "097493": 34, "199321": 34, "12252": 34, "108408": 34, "438293": 34, "216812": 34, "349289": 34, "422689": 34, "377760": 34, "045198": 34, "034095": 34, "427570": 34, "328272": 34, "257849": 34, "032363": 34, "275004": 34, "080452": 34, "078975": 34, "049972": 34, "009761": 34, "314754": 34, "020773": 34, "268777": 34, "068411": 34, "017591": 34, "236154": 34, "221446": 34, "103568": 34, "055510": 34, "062910": 34, "067424": 34, "003504": 34, "157757": 34, "007711": 34, "323297": 34, "334637": 34, "367041": 34, "068821": 34, "063667": 34, "329990": 34, "232330": 34, "184768": 34, "11646": 34, "091488": 34, "155708": 34, "032391": 34, "018314": 34, "524997": 34, "563933": 34, "080985": 34, "097982": 34, "535285": 34, "377194": 34, "428013": 34, "144572": 34, "045297": 34, "107935": 34, "135673": 34, "290019": 34, "137200": 34, "503395": 34, "042567": 34, "282592": 34, "185626": 34, "092904": 34, "097085": 34, "174650": 34, "193584": 34, "047294": 34, "098216": 34, "332670": 34, "163098": 34, "135101": 34, "078530": 34, "030177": 34, "391598": 34, "073520": 34, "454037": 34, "244358": 34, "790682": 34, "607010": 34, "255162": 34, "029779": 34, "emb_test": 34, "emb_test_df": 34, "002864": 34, "217326": 34, "124349": 34, "082548": 34, "709688": 34, "582441": 34, "257897": 34, "169356": 34, "248880": 34, "266686": 34, "501767": 34, "095387": 34, "340173": 34, "087452": 34, "368359": 34, "276195": 34, "238676": 34, "219546": 34, "066603": 34, "256149": 34, "10951": 34, "141048": 34, "137934": 34, "131319": 34, "194773": 34, "868204": 34, "078791": 34, "131656": 34, "036244": 34, "215749": 34, "291946": 34, "056256": 34, "056041": 34, "147341": 34, "189665": 34, "357366": 34, "061799": 34, "161923": 34, "278955": 34, "173722": 34, "065324": 34, "5382": 34, "252943": 34, "527507": 34, "065608": 34, "013467": 34, "207989": 34, "003881": 34, "066281": 34, "253166": 34, "021039": 34, "290957": 34, "180686": 34, "042605": 34, "173794": 34, "079128": 34, "169160": 34, "001316": 34, "142593": 34, "070816": 34, "208826": 34, "400737": 34, "3954": 34, "054319": 34, "096738": 34, "113037": 34, "032039": 34, "493064": 34, "641102": 34, "078760": 34, "402187": 34, "189743": 34, "089538": 34, "123879": 34, "285019": 34, "297771": 34, "557171": 34, "076169": 34, "029826": 34, "076095": 34, "225454": 34, "002135": 34, "235430": 34, "11193": 34, "065858": 34, "223270": 34, "507333": 34, "266193": 34, "104696": 34, "219555": 34, "146247": 34, "315649": 34, "126193": 34, "435461": 34, "163994": 34, "207813": 34, "001871": 34, "109391": 34, "166778": 34, "249199": 34, "525419": 34, "413066": 34, "119939": 34, "064297": 34, "5861": 34, "077512": 34, "322276": 34, "026697": 34, "111393": 34, "174207": 34, "235201": 34, "053888": 34, "244942": 34, "181625": 34, "226870": 34, "149843": 34, "311338": 34, "045975": 34, "572319": 34, "068256": 34, "217745": 34, "056509": 34, "355174": 34, "028610": 34, "090676": 34, "3627": 34, "173311": 34, "023604": 34, "190388": 34, "136543": 34, "360269": 34, "444686": 34, "056311": 34, "291941": 34, "399719": 34, "167930": 34, "042209": 34, "161905": 34, "040535": 34, "050515": 34, "252020": 34, "133980": 34, "155001": 34, "154482": 34, "060201": 34, "126556": 34, "12559": 34, "124635": 34, "101799": 34, "129061": 34, "636907": 34, "681090": 34, "399300": 34, "078321": 34, "221824": 34, "277218": 34, "178589": 34, "022364": 34, "109275": 34, "073540": 34, "153336": 34, "123705": 34, "238896": 34, "296446": 34, "116798": 34, "115076": 34, "345925": 34, "8123": 34, "063508": 34, "332506": 34, "119605": 34, "001363": 34, "161802": 34, "082302": 34, "025883": 34, "048027": 34, "126974": 34, "159802": 34, "002221": 34, "093885": 34, "430285": 34, "088561": 34, "321488": 34, "447437": 34, "292395": 34, "188566": 34, "272767": 34, "126173": 34, "015537": 34, "425568": 34, "350672": 34, "113120": 34, "128615": 34, "098112": 34, "222081": 34, "101654": 34, "224073": 34, "341074": 34, "100983": 34, "008055": 34, "202025": 34, "029846": 34, "019182": 34, "107064": 34, "002301": 34, "038213": 34, "139270": 34, "007586": 34, "2928": 34, "num_top": 34, "intelligen": [34, 55], "sl": [34, 55], "mach": [34, 55], "cour": [34, 55], "commonwealth": [34, 55], "jurisdict": [34, 55], "droit": [34, 55], "supr\u00eam": [34, 55], "const": [34, 55], "skate": [34, 55], "token2id": 34, "0070087705": 34, "0134610993": 34, "1830": 34, "3970": 34, "yale": 34, "3971": 34, "3972": 34, "youth": 34, "3973": 34, "zhenskaya": 34, "3974": 34, "zonal": 34, "3975": 34, "token_id": 34, "doc_term_matrix": 34, "151": 34, "196": 34, "ldamodel": 34, "id2word": 34, "num_word": 34, "9998566": 34, "pyldavi": 34, "gensim_model": 34, "gensimvi": 34, "vi": 34, "sort_top": 34, "counti": 35, "161300e": 35, "370842": 35, "114757": 35, "2079": 35, "899736": 35, "510697e": 35, "494309": 35, "007542": 35, "234303": 35, "409430": 35, "656873": 35, "390691": 35, "509045": 35, "005136": 35, "402258": 35, "560053": 35, "213896": 35, "1986": 35, "552492": 35, "12768": 35, "455652": 35, "930062": 35, "770163": 35, "440897": 35, "142051e": 35, "539989": 35, "086517": 35, "766318": 35, "650743": 35, "175459": 35, "828": 35, "090978": 35, "442": 35, "575043": 35, "373411": 35, "401": [35, 43, 46], "679240": 35, "138564": 35, "140828": 35, "685": 35, "391304": 35, "27304": 35, "179631": 35, "200000e": 35, "1900": 35, "155900": 35, "519000": 35, "651": 35, "1427": 35, "040000e": 35, "471000": 35, "328000": 35, "1490": 35, "5100": 35, "1910": 35, "618000e": 35, "1975": 35, "571800": 35, "230000": 35, "2550": 35, "068800e": 35, "560": 35, "678000": 35, "125000": 35, "2360": 35, "10083": 35, "13540": 35, "651359e": 35, "9410": 35, "4820": 35, "777600": 35, "315000": 35, "6210": 35, "871200": 35, "21450": 35, "20699": 35, "2003": [35, 51], "2005": 35, "1948": 35, "1944": 35, "540088": 35, "14176653": 35, "dt": [35, 59], "9991338290544213": 35, "get_depth": [35, 58], "9994394006711425": 35, "719915905190645": 35, "decisiontreeregressordecisiontreeregressor": 35, "3209427041566191": 35, "31767136668453344": 35, "9108334653214172": 35, "7728396574320712": 35, "x_tr": 35, "y_tr": 35, "tr_score": 35, "valid_scor": 35, "results_single_valid_df": 35, "319559": 35, "326616": 35, "603739": 35, "555180": 35, "754938": 35, "677567": 35, "833913": 35, "737285": 35, "890456": 35, "763480": 35, "931896": 35, "790521": 35, "963024": 35, "769030": 35, "981643": 35, "752728": 35, "991810": 35, "735637": 35, "996424": 35, "745925": 35, "998370": 35, "734048": 35, "999213": 35, "741060": 35, "999480": 35, "722873": 35, "999544": 35, "723951": 35, "999558": 35, "734986": 35, "999562": 35, "724068": 35, "999567": 35, "724410": 35, "argmax": [35, 36, 38], "test_model": 35, "7784948928666875": 35, "cv_train_scor": 35, "cv_valid_scor": 35, "321050": 35, "322465": 35, "603243": 35, "559284": 35, "752169": 35, "688484": 35, "835876": 35, "758259": 35, "894960": 35, "768184": 35, "938201": 35, "772185": 35, "966812": 35, "760966": 35, "983340": 35, "754620": 35, "992220": 35, "730025": 35, "996487": 35, "722803": 35, "998440": 35, "726659": 35, "999178": 35, "730704": 35, "999438": 35, "711356": 35, "999518": 35, "721917": 35, "999539": 35, "729374": 35, "999545": 35, "740319": 35, "999546": 35, "706489": 35, "dt_final": 35, "9308647034083802": 35, "00080741": 35, "00327551": 35, "25123925": 35, "01808825": 35, "00079645": 35, "03213916": 35, "01190633": 35, "00106308": 35, "36400802": 35, "02313684": 35, "00295235": 35, "01209545": 35, "00064647": 35, "17216105": 35, "06835056": 35, "02416048": 35, "01317334": 35, "feature_names_in_": 35, "feature_import": 35, "364008": 35, "251239": 35, "172161": 35, "068351": 35, "032139": 35, "024160": 35, "023137": 35, "018088": 35, "013173": 35, "012095": 35, "011906": 35, "003276": 35, "002952": 35, "001063": 35, "000807": 35, "000796": 35, "set_se": [36, 40, 41], "manual_se": [36, 40, 41], "proce": 36, "read_img_dataset": [36, 40, 41], "plot_sample_img": [36, 40, 41], "train_dir": 36, "file_nam": [36, 40, 41], "image_fil": [36, 40, 41], "n_imag": [36, 40, 41], "x_anim_train": 36, "valid_dir": 36, "x_anim_valid": 36, "feed": 36, "desenet": 36, "accomplish": 36, "000236": 36, "004594": 36, "001687": 36, "002321": 36, "161429": 36, "816200": 36, "000812": 36, "003663": 36, "259521": 36, "000420": 36, "874960": 36, "427516": 36, "242741": 36, "026616": 36, "210286": 36, "974181": 36, "898244": 36, "904565": 36, "067099": 36, "182383": 36, "000128": 36, "001419": 36, "002848": 36, "000313": 36, "066512": 36, "442917": 36, "000423": 36, "002802": 36, "056599": 36, "000839": 36, "805414": 36, "029396": 36, "049097": 36, "319482": 36, "086078": 36, "516787": 36, "864291": 36, "109578": 36, "384528": 36, "046114": 36, "006070": 36, "003593": 36, "002643": 36, "098787": 36, "091632": 36, "000441": 36, "003044": 36, "365898": 36, "259086": 36, "239082": 36, "084684": 36, "902341": 36, "206019": 36, "027080": 36, "259026": 36, "334765": 36, "428280": 36, "414406": 36, "000248": 36, "002965": 36, "002921": [19, 36], "000428": 36, "075668": 36, "331588": 36, "000520": 36, "002987": 36, "245635": 36, "485191": 36, "157572": 36, "215167": 36, "478514": 36, "014989": 36, "526782": 36, "642071": 36, "119190": 36, "498164": 36, "365925": 36, "003463": 36, "001230": 36, "000890": 36, "076018": 36, "726441": 36, "000685": 36, "194914": 36, "000281": [36, 44], "449264": 36, "176027": 36, "578569": 36, "152691": 36, "632296": 36, "519129": 36, "781977": 36, "974532": 36, "302044": 36, "614872": 36, "000270": 36, "006250": 36, "002418": 36, "180926": 36, "199412": 36, "000480": 36, "002477": 36, "232075": 36, "692130": 36, "727992": 36, "119121": 36, "040561": 36, "431104": 36, "219714": 36, "945967": 36, "758030": 36, "921435": 36, "544079": 36, "000316": 36, "006208": 36, "003540": 36, "004469": 36, "200458": 36, "398915": 36, "000475": 36, "004852": 36, "196963": 36, "000329": 36, "620726": 36, "681430": 36, "857458": 36, "337626": 36, "583973": 36, "015639": 36, "373318": 36, "286326": 36, "610142": 36, "533027": 36, "000432": 36, "001375": 36, "003088": 36, "003877": 36, "154883": 36, "298043": 36, "000934": 36, "001566": 36, "265483": 36, "000540": 36, "218867": 36, "324762": 36, "039739": 36, "903425": 36, "145186": 36, "221760": 36, "000561": 36, "298437": 36, "578452": 36, "468994": 36, "008286": 36, "001882": 36, "001109": 36, "140371": 36, "856722": 36, "000387": 36, "003272": 36, "202247": 36, "000310": 36, "303694": 36, "546152": 36, "726269": 36, "495523": 36, "592505": 36, "539258": 36, "308236": 36, "090579": 36, "543677": 36, "000163": 36, "003210": 36, "003910": 36, "159751": 36, "295193": 36, "000460": 36, "004461": 36, "401729": 36, "916349": 36, "980962": 36, "025460": 36, "526444": 36, "003038": 36, "068427": 36, "211725": 36, "600288": 36, "032000": 36, "005378": [], "000951": [], "000180": [], "000211": 19, "000157": [], "000202": 36, "000153": [], "000935": [], "100801": [], "966667": 36, "991667": 36, "000489": [], "002522": [], "000427": 48, "004757": [], "983333": 36, "000356": 36, "002170": [], "000526": [], "021082": 36, "988333": 36, "953333": 36, "016330": 36, "006667": 36, "993333": 36, "006236": 36, "985000": 36, "012247": 36, "026667": 36, "005270": 36, "976667": 36, "940000": 36, "024944": 36, "014337": 36, "980000": 36, "946667": 36, "008498": 36, "968333": 36, "038873": 36, "020000": 36, "926667": 36, "032660": 36, "019293": 36, "033993": 36, "963333": 36, "017951": 36, "945000": 36, "040000": 36, "028186": 36, "951667": 36, "017795": 36, "022730": 36, "best_k": 36, "c_valu": 36, "c_val": 36, "973333": 36, "best_c": 36, "nearestneighborsnearestneighbor": 36, "show_nearest_neighbor": 36, "test_idx": 36, "query_img": 36, "img_ind": 36, "wrangl": 37, "cleaned_restaurant_data": 37, "north_america": 37, "eat_out_freq": 37, "n_peopl": 37, "food_typ": 37, "noise_level": 37, "good_serv": 37, "restaurant_nam": 37, "italian": [37, 38], "ambienc": 37, "dislik": 37, "vibe": 37, "961": 37, "haidilao": 37, "962": 37, "963": 37, "meat": 37, "tasti": 37, "hearti": 37, "broth": 37, "noodl": [37, 55], "uno": 37, "964": 37, "960000e": 37, "696": 37, "585187": 37, "975104": 37, "439254e": 37, "1472": 37, "179152": 37, "246486": 37, "556716": 37, "790481e": 37, "37903": 37, "575636": 37, "000000e": 37, "unusu": 37, "upperbound_pric": 37, "lowerbound_peopl": 37, "restaurant_df": 37, "942": 37, "674": 37, "598057": 37, "992569": 37, "973294": 37, "023279": 37, "257787": 37, "582570": 37, "016660": 37, "018622": 37, "quebecoi": 37, "thai": 37, "fusion": 37, "mexican": 37, "000618": [], "000430": [], "516556": 37, "514950": 37, "000350": [], "000442": [], "000342": [], "000340": [], "513333": 37, "515755": 37, "000332": [], "2200": 37, "934": 37, "comfi": 37, "sit": [37, 57], "911": 37, "hungri": 37, "chambar": 37, "232": 37, "quantit": 37, "qualit": 37, "noise_cat": 37, "x_train_num": 37, "x_test_num": 37, "x_train_num_imp": 37, "x_test_num_imp": 37, "kneighborsclassifierkneighborsclassifi": 37, "5418278145695364": 37, "1500": [37, 41], "525": 37, "753": 37, "x_train_num_imp_sc": 37, "x_test_num_imp_sc": 37, "robustscal": 37, "quantil": 37, "maxabsscal": 37, "55629139": 37, "49006623": 37, "56953642": 37, "53333333": 37, "pipe_knn": 37, "5245916114790287": 37, "plot_improper_process": [37, 43, 44], "plot_proper_process": [37, 43], "415": 37, "x_train_cat": 37, "x_test_cat": 37, "x_train_cat_oh": 37, "x_test_cat_oh": 37, "ohe_feat": 37, "north_america_don": 37, "north_america_no": 37, "north_america_y": 37, "food_type_canadian": 37, "food_type_chines": 37, "food_type_fus": 37, "food_type_indian": 37, "food_type_italian": 37, "food_type_mexican": 37, "food_type_oth": 37, "food_type_quebecoi": 37, "food_type_thai": 37, "food_type_nan": 37, "748": 37, "752": 37, "53642384": 37, "50993377": 37, "51333333": 37, "47333333": 37, "pipe_ohe_knn": 37, "routed_param": 37, "56291391": 37, "54666667": 37, "5537836644591612": 37, "ohe_feat_nam": 37, "svc_num_cat_pip": 37, "6825960264900662": 37, "wasn": [37, 55], "reshape_for_countvector": 37, "text_transform": 37, "text_pip": 37, "6467019867549668": 37, "753x116": 37, "5670": 37, "svc_num_cat_text_pip": 37, "6972185430463577": 37, "regard": [38, 58, 59], "imdb": 38, "replace_tag": 38, "review_pp": 38, "47278": 38, "vast": 38, "soul": 38, "philosophi": 38, "19664": 38, "infantri": 38, "da": 38, "boot": 38, "submarin": 38, "cinema": 38, "par": 38, "22648": 38, "yorker": 38, "contemporan": 38, "era": 38, "norman": 38, "wexler": 38, "delin": 38, "33662": 38, "certainli": 38, "men": 38, "31230": 38, "trash": 38, "subhuman": 38, "cannib": 38, "fan": 38, "fran": 38, "alert": 38, "besid": 38, "oldboi": 38, "wook": 38, "afraid": 38, "28030": 38, "barlei": 38, "nude": 38, "movement": 38, "screa": 38, "dvd": 38, "primo": 38, "cinematographi": 38, "noir": 38, "tribut": 38, "blacklist": 38, "isna": 38, "bow": 38, "5000x10000": 38, "383702": 38, "middl": 38, "conrad": 38, "conscienc": 38, "consciou": 38, "conscious": 38, "conserv": 38, "conservatori": 38, "bird": [38, 40, 41], "elit": 38, "finnish": 38, "grimi": 38, "kerr": 38, "maltin": 38, "narrat": 38, "reynold": 38, "sfx": 38, "thats": 38, "vanc": 38, "505": 38, "587023": 38, "103126": 38, "582914": 38, "105109": 38, "835261": 38, "101897": 38, "593766": 38, "086516": 38, "853": 38, "761284": 38, "098995": 38, "839": 38, "83470": 38, "7964": 38, "92265": 38, "8456": 38, "98585": 38, "8520": 38, "8426": 38, "8376": 38, "8350": 38, "optimized_c": 38, "word_coeff_df": 38, "074949": 38, "083893": 38, "034402": 38, "056493": 38, "041633": 38, "013299": 38, "022139": 38, "zorak": 38, "021878": 38, "zorro": 38, "130075": 38, "\u00e2\u00bd": 38, "012649": 38, "903484": 38, "659922": 38, "653301": 38, "651763": 38, "favorit": 38, "607887": 38, "621695": 38, "701030": 38, "736608": 38, "799353": 38, "986970": 38, "visualize_coeffici": 38, "n_top_featur": 38, "fake_review": 38, "1x10000": 38, "16423497": 38, "83576503": 38, "words_in_ex": 38, "ex_df": 38, "126498": 38, "390053": 38, "268316": 38, "578879": 38, "113743": 38, "122759": 38, "582012": 38, "037942": 38, "136288": 38, "054205": 38, "133895": 38, "plot_coeff_exampl": 38, "feat_vect": 38, "pos_prob": 38, "95205899": 38, "83301769": 38, "9093526": 38, "89247531": 38, "05736279": 38, "79360853": 38, "most_posit": 38, "tragic": 38, "custodi": 38, "battl": 38, "kramer": 38, "screenwrit": 38, "robert": 38, "benton": 38, "marvel": 38, "averi": 38, "corman": 38, "beautifulli": 38, "deliv": 38, "straight": 38, "talent": 38, "tale": 38, "splendid": 38, "deservedli": 38, "nine": 38, "academi": 38, "nomin": 38, "dustin": 38, "hoffman": 38, "superb": 38, "ted": 38, "forgotten": 38, "joann": 38, "meryl": 38, "streep": 38, "actress": 38, "portray": 38, "eight": 38, "marriag": 38, "jane": 38, "alexand": 38, "fantast": 38, "margaret": 38, "stake": 38, "justin": 38, "choke": 38, "tear": 38, "thoroughli": 38, "brilliant": 38, "nestor": 38, "almendro": 38, "greenberg": 38, "purcel": 38, "himself": [38, 55], "realis": 38, "1995": [38, 51], "heartach": 38, "estrang": 38, "amazingli": 38, "superl": 38, "torn": 38, "toppl": 38, "career": 38, "desper": 38, "fade": 38, "outstand": 38, "caught": 38, "rend": 38, "1979": 38, "1996": 38, "neg_prob": 38, "04794101": 38, "16698231": 38, "0906474": 38, "10752469": 38, "94263721": 38, "20639147": 38, "most_neg": 38, "36555": 38, "recov": 38, "modulenotfounderror": [39, 43, 45, 46, 47, 49, 50, 51, 52, 53, 54, 55, 56], "51150": [39, 47], "538816": [39, 47], "481893": [39, 47], "827130": [39, 47], "573050": [39, 47], "644106": [39, 47], "340988": [39, 47], "102135": [39, 47], "939006": [39, 47], "578654": [39, 47], "530978": [39, 47], "860677": [39, 47], "201810": [39, 47], "719747": [39, 47], "729143": [39, 47], "547993": [39, 47], "023636": [39, 47], "454966": [39, 47], "37906": [39, 47], "39163": [39, 47], "363913": [39, 47], "853399": [39, 47], "648195": [39, 47], "118934": [39, 47], "100882": [39, 47], "423852": [39, 47], "472790": [39, 47], "972440": [39, 47], "033833": [39, 47], "687055": [39, 47], "094586": [39, 47], "121531": [39, 47], "146830": [39, 47], "944092": [39, 47], "558564": [39, 47], "186814": [39, 47], "257103": [39, 47], "79378": [39, 47], "57994": [39, 47], "193021": [39, 47], "136714": [39, 47], "622612": [39, 47], "780864": [39, 47], "823511": [39, 47], "706444": [39, 47], "206073": [39, 47], "016918": [39, 47], "781531": [39, 47], "310405": [39, 47], "842028": [39, 47], "085477": [39, 47], "366005": [39, 47], "254443": [39, 47], "290002": [39, 47], "036764": [39, 47], "015039": [39, 47], "245686": [39, 47], "152859": [39, 47], "604032": [39, 47], "808208": [39, 47], "594982": [39, 47], "200475": [39, 47], "502985": [39, 47], "832370": [39, 47], "034071": [39, 47], "234040": [39, 47], "550616": [39, 47], "519029": [39, 47], "429217": [39, 47], "139322": [39, 47], "293663": [39, 47], "037785": [39, 47], "061206": [39, 47], "005387": [39, 47], "057296": [39, 47], "60943": [39, 47], "49575": [39, 47], "669614": [39, 47], "734385": [39, 47], "662450": [39, 47], "059077": [39, 47], "346850": [39, 47], "549682": [39, 47], "430571": [39, 47], "118450": [39, 47], "469383": [39, 47], "228329": [39, 47], "370643": [39, 47], "211544": [39, 47], "300837": [39, 47], "174590": [39, 47], "573818": [39, 47], "388023": [39, 47], "161782": [39, 47], "logisit": 39, "99807444e": 39, "92556242e": 39, "99537296e": 39, "62703836e": 39, "99678149e": 39, "21851032e": 39, "99907898e": 39, "21018764e": 39, "99882185e": 39, "17814723e": 39, "99845434e": 39, "54565766e": 39, "43344135e": 39, "87215534e": 39, "13373820e": 39, "99999990e": 39, "99999996e": 39, "12247976": 39, "15220481": 39, "05407669": 39, "18444729": 39, "06337006": 39, "05482241": 39, "lr_f1": 39, "svc_f1": 39, "6463104325699746": 39, "553314121037464": 39, "lr_ap": 39, "svc_ap": 39, "698147830641323": 39, "7629107575877127": 39, "_plot": 39, "0x124c45bd0": 39, "add_subplot": 39, "0x125924ed0": 39, "pipe_lr_std": 39, "pipe_lr_upw": 39, "upweight": 39, "0x1260725d0": 39, "0x1260716d0": 39, "quatifi": 39, "confust": 39, "speci": [40, 59], "788": [40, 48, 56], "birds_input": 40, "birds_class": 40, "target_transform": [40, 41], "loader": [40, 41], "is_valid_fil": [40, 41], "303": [40, 41, 50], "img_extens": [40, 41], "315": [40, 41], "316": [40, 41], "datasetfold": [40, 41], "142": [40, 41], "class_to_idx": [40, 41], "find_class": [40, 41], "make_dataset": [40, 41], "194": [40, 41], "scandir": [40, 41], "is_dir": [40, 41], "x_bird": 40, "flatten_imag": 40, "flatten_dataload": 40, "image_shap": 40, "120000": 40, "km_flatten": 40, "kmeanskmean": [40, 41], "unflatten_input": 40, "get_cluster_imag": [40, 41], "n_img": [40, 41], "extractor": 40, "z_bird": 40, "food_input": [40, 41], "food_class": [40, 41], "x_food": [40, 41], "z_food": [40, 41], "181": 40, "271": [40, 41, 56], "325": [40, 41], "253": [40, 49], "236": [40, 41, 43, 46], "282": 40, "223": [40, 41], "231": 40, "appendixb": 40, "166": [41, 51], "327": [41, 43], "240": 41, "235": [41, 51], "234": 41, "dists_df": 41, "341": 41, "342": 41, "343": 41, "347": 41, "349": 41, "838209": 41, "272423": 41, "557386": 41, "911512": 41, "729088": 41, "535007": 41, "919943": 41, "910038": 41, "831701": 41, "821581": 41, "069433": 41, "836058": 41, "045502": 41, "334972": 41, "312830": 41, "730888": 41, "483530": 41, "518341": 41, "012949": 41, "690664": 41, "808674": 41, "380119": 41, "499969": 41, "269186": 41, "080601": 41, "174231": 41, "724173": 41, "517481": 41, "425566": 41, "153849": 41, "348946": 41, "451920": 41, "344963": 41, "383554": 41, "948429": 41, "117655": 41, "012907": 41, "241850": 41, "272598": 41, "983030": 41, "745886": 41, "138418": 41, "259501": 41, "387449": 41, "976543": 41, "755798": 41, "489601": 41, "757547": 41, "980059": 41, "965456": 41, "195887": 41, "397800": 41, "607014": 41, "029932": 41, "488819": 41, "426289": 41, "817778": 41, "362293": 41, "543203": 41, "214371": 41, "433807": 41, "525894": 41, "772890": 41, "805965": 41, "740297": 41, "505461": 41, "599627": 41, "887571": 41, "735687": 41, "722355": 41, "054052": 41, "763035": 41, "249685": 41, "294979": 41, "665562": 41, "088818": 41, "409763": 41, "046513": 41, "512915": 41, "122980": 41, "731318": 41, "328199": 41, "524778": 41, "566645": 41, "233059": 41, "732960": 41, "961937": 41, "021688": 41, "355204": 41, "388792": 41, "226387": 41, "771818": 41, "816877": 41, "633665": 41, "816105": 41, "698130": 41, "911955": 41, "400141": 41, "690134": 41, "754042": 41, "597506": 41, "449287": 41, "049765": 41, "228279": 41, "203318": 41, "634016": 41, "843769": 41, "824900": 41, "539536": 41, "891027": 41, "559868": 41, "736403": 41, "069878": 41, "720396": [31, 41], "640726": 41, "087231": 41, "709068": 41, "990519": 41, "950739": 41, "422796": 41, "982191": 41, "307524": 41, "929638": 41, "822123": 41, "524864": 41, "816399": 41, "144579": 41, "315739": 41, "252844": 41, "219345": 41, "628778": 41, "586554": 41, "797318": 41, "021420": 41, "156252": 41, "752766": 41, "942122": 41, "648315": 41, "040714": 41, "330954": 41, "934887": 41, "133183": 41, "376286": 41, "258141": 41, "nanmax": 41, "918853": 41, "791836": 41, "870182": 41, "nep": 41, "min_sampl": 41, "269": 41, "dbscan_label": 41, "print_dbscan_clust": 41, "print_dbscan_noise_imag": 41, "faces_input": 41, "x_face": 41, "z_face": 41, "175": 41, "103": [41, 50], "359": [41, 43, 46], "260": 41, "329": 41, "dist_df": 41, "212444": 41, "023613": 41, "863905": 41, "001663": 41, "938940": 41, "098724": 41, "955692": 41, "270945": 41, "389570": 41, "826571": 41, "514793": 41, "561979": 41, "348663": 41, "740641": 41, "028826": 41, "770222": 41, "892704": 41, "719786": 41, "463976": 41, "759411": 41, "995085": 41, "543497": 41, "854399": 41, "650290": 41, "240793": 41, "963823": 41, "705948": 41, "509878": 41, "242216": 41, "694988": 41, "906570": 41, "872011": 41, "647667": 41, "404259": 41, "862476": 41, "595673": 41, "784702": 41, "887432": 41, "958988": 41, "354176": 41, "925968": 41, "882242": 41, "242348": 41, "911688": 41, "257753": 41, "27959": 41, "94334": 41, "261": 41, "197": 41, "odd": 41, "angl": 41, "crop": 41, "glass": 41, "z_hrch": 41, "ward": 41, "dendrogram": 41, "no_label": 41, "cluster_label": 41, "flat": 41, "hand_picked_clust": 41, "print_hierarchical_clust": 41, "runtimewarn": 41, "retain": 41, "max_open_warn": 41, "hair": 41, "grades_df": 42, "ohe_encod": 42, "oe_encod": 42, "mape": 42, "0102": [43, 46], "833": [43, 46], "204600": [43, 46], "021900": [43, 46], "1650": [43, 46], "795": [43, 46, 48], "326933": [43, 46], "006110": [43, 46], "0794": [43, 46], "083": [43, 46], "redbon": [43, 46], "childish": 43, "gambino": 43, "838": [43, 46], "185707": [43, 46], "000234": [43, 46, 56], "1590": [43, 46], "2890": [43, 46], "044": [43, 46], "173": [43, 46], "xanni": [43, 46], "6040": [43, 46], "199413": [43, 46], "338": [43, 46], "0922": [43, 46], "0261": [43, 46], "230": [43, 46], "beach": 43, "678": [43, 46, 48], "392893": [43, 46], "512000": [43, 46], "4390": [43, 46], "0694": [43, 46], "junior": 43, "1555": 43, "341667": 43, "526": 43, "386907": 43, "45240": 43, "01482203": 43, "5609808539232339": 43, "011977": 43, "180165": 43, "011594": 43, "157647": 43, "011777": 43, "173278": 43, "011765": 43, "178473": 43, "011725": 43, "109156": 43, "x_train_toi": [44, 58], "x_test_toi": 44, "y_train_toi": [44, 58], "y_test_toi": 44, "cm2": 44, "0x146edaaa0": [], "illustr": [44, 51], "train_scal": 44, "test_scal": 44, "plot_original_sc": 44, "title_transform": 44, "improperli": 44, "vstack": [44, 52], "xx_scale": 44, "xx_train": 44, "xx_test": 44, "218048215738236e": 44, "07799695717181604": 44, "0501997049901186": 44, "11699543575772282": 44, "9070874541507946": 44, "000360": [], "000265": 44, "000883": [], "625000": 44, "000866": [], "583333": 44, "000252": [], "604167": 44, "000254": [], "000854": [], "416667": 44, "004649": 46, "001960": [], "003161": [], "001762": [], "003139": [], "001709": [], "003119": [], "001741": [], "003147": [], "001715": [], "whe": 45, "2590575478171857": 45, "729702132569275": 46, "084608": 46, "020084": 46, "0x7f82533f4990": 46, "xxxx": 46, "317402": 46, "318038": 46, "316564": 46, "327592": 46, "385581": 46, "310575": 46, "332467": 46, "34058": 46, "322459": 46, "998885": 46, "897492": 46, "84445": 46, "692248": 46, "46924": 46, "556294": 46, "448591": 46, "462728": 46, "451487": 46, "470856": 46, "014065": 46, "002811": 46, "014726": 46, "002606": 46, "007457": 46, "024828": 46, "001589": 46, "026281": 46, "043084": 46, "001987": 46, "076945": 46, "060188": 46, "030602": 46, "02552": 46, "038753": 46, "065264": 46, "004724": 46, "0603": 46, "006248": 46, "050632": 46, "090046": 46, "082929": 46, "082356": 46, "086134": 46, "087315": 46, "102047": 46, "082758": 46, "099931": 46, "090909": 46, "088123": 46, "176486": 46, "191313": 46, "165767": 46, "142972": 46, "088883": 46, "072625": 46, "085139": 46, "103724": 46, "100183": 46, "097011": 46, "008807": 46, "003897": 46, "002679": 46, "001338": 46, "002924": 46, "002746": 46, "030257": 46, "011999": 46, "002463": 46, "007079": 46, "005768": 46, "023229": 46, "003007": 46, "012636": 46, "003285": 46, "005543": 46, "001469": 46, "026408": 46, "371864": 46, "747294": 46, "344238": 46, "351213": 46, "324994": 46, "293022": 46, "459471": 46, "51741": 46, "48337": 46, "453231": 46, "398281": 46, "412341": 46, "369529": 46, "401357": 46, "395857": 46, "381007": 46, "388232": 46, "462429": 46, "743321": 46, "741463": 46, "71172": 46, "710476": 46, "706761": 46, "706759": 46, "660866": 46, "659625": 46, "659006": 46, "652185": 46, "646611": 46, "645992": 46, "633596": 46, "628025": 46, "51042": 46, "426658": 46, "32615": 46, "370865": 46, "306083": 46, "306062": 46, "352345": 46, "321206": 46, "316762": 46, "339304": 46, "38073": 46, "379397": 46, "441245": 46, "436296": 46, "46167": 46, "422954": 46, "4017": 46, "488947": 46, "484224": 46, "467898": 46, "0x7f82533413d0": 46, "0x7f82532ebcd0": 46, "0x7f825345c910": 46, "009185": 46, "000736": 46, "005209": 46, "000593": 46, "008664": 46, "000497": 46, "004867": 46, "000476": 46, "008619": 46, "000472": 46, "004798": 46, "008512": 46, "000591": 46, "000479": 46, "008424": 46, "000609": 46, "000485": 46, "032643": 46, "000439": 46, "008929": 46, "000193": 46, "031400": 46, "009783": 46, "001001": 46, "000396": 46, "009017": 46, "000347": 46, "102829": 46, "001758": 46, "018003": 46, "000217": 46, "097737": 46, "001842": 46, "021678": 46, "000433": 46, "893": 46, "007091": 46, "006921": 46, "008909": 46, "006615": 46, "006458": 46, "006562": 46, "006574": 46, "006631": 46, "00664": 46, "006662": 46, "009526": 46, "006852": 46, "006553": 46, "006648": 46, "009951": 46, "00654": 46, "006372": 46, "006815": 46, "006833": 46, "6262376237623762": 46, "macro": 47, "012197": 47, "002049": 47, "587211": 47, "010523": 47, "disp": 47, "276776": 47, "102092": 47, "088233": 47, "093971": 47, "288138": 47, "104035": 47, "109370": 47, "236774": 47, "009844": 47, "092141": 47, "pr_dict": 47, "001705": 47, "003405": 47, "772277": 47, "768473": 47, "793478": 47, "715686": 47, "752577": 47, "814815": 47, "721311": 47, "876712": 47, "731429": 47, "897059": 47, "598039": 47, "717647": 47, "893939": 47, "578431": 47, "702381": 47, "903226": 47, "549020": 47, "682927": 47, "892857": 47, "490196": 47, "632911": 47, "9700376801085544": 47, "undersampl": 47, "oversampl": 47, "smote": 47, "makeup": [48, 57], "jbook": 48, "_decor": 48, "deprecate_nonkeyword_argu": 48, "num_allow_arg": 48, "306": 48, "stacklevel": 48, "mangle_dupe_col": 48, "error_bad_lin": 48, "warn_bad_lin": 48, "667": 48, "676": [30, 48], "575": 48, "572": 48, "578": 48, "930": 48, "1217": 48, "1213": 48, "rb": 48, "overload": 48, "1215": 48, "pathlik": 48, "readcsvbuff": 48, "byte": 48, "1216": 48, "1221": 48, "1223": 48, "1224": 48, "1225": 48, "1226": 48, "1227": 48, "1228": 48, "789": 48, "785": 48, "786": 48, "792": 48, "794": 48, "001587": 48, "000620": 48, "001186": 48, "000616": 48, "001056": 48, "000438": 48, "001151": 48, "000885": [44, 48], "000408": 48, "000983": 48, "000440": [37, 48], "000909": 48, "000401": 48, "000412": 48, "000902": 48, "000421": 48, "000865": 48, "000409": 48, "7234503": 48, "07174468998": 48, "01311996081": 48, "110372": 48, "016864": 48, "030887": 48, "009557": 48, "037350": 48, "010032": 48, "034898": 48, "010189": 48, "035345": 48, "010177": 48, "035850": 48, "010048": 48, "035635": 48, "010101": 48, "035794": 48, "010222": 48, "035665": 48, "010233": 48, "041555": 48, "010893": 48, "7951559890417758": 48, "481514": 48, "7986538": 48, "539": 48, "914451894256": 48, "10092665203438765": 48, "0780850698289626": 48, "058952": 48, "017841": 48, "037522": 48, "012024": 48, "038325": 48, "012385": 48, "039022": 48, "012244": 48, "046787": 48, "012960": 48, "069275": 48, "020829": 48, "052758": 48, "020309": 48, "048205": 48, "014515": 48, "047903": 48, "014235": 48, "047534": 48, "014629": 48, "331683e": 48, "861569e": 48, "748678e": 48, "709196e": 48, "670668e": 48, "708698e": 48, "731038e": 48, "723242e": 48, "651645e": 48, "649046e": 48, "128092": 48, "127731": 48, "120763": 48, "123527": 48, "125656": 48, "122418": 48, "12763": 48, "127673": 48, "130119": 48, "084991": 48, "141531": 48, "136094": 48, "132274": 48, "005032": 48, "045462": 48, "001943": 48, "166171": 48, "034114": 48, "059196": 48, "015461": 48, "125609": 48, "010245": 48, "136016": 48, "006792": 48, "043729": 48, "002724": 48, "130938": 48, "008744": 48, "047061": 48, "006918": 48, "125548": 48, "011318": 48, "043274": 48, "129750": 48, "004327": 48, "043355": 48, "003814": 48, "122386": 48, "006678": 48, "042967": 48, "002872": 48, "130967": 48, "019439": 48, "039007": 48, "006258": 48, "093235": 48, "018278": 48, "032982": 48, "006405": 48, "150008": 48, "013874": 48, "047600": 48, "004518": 48, "133128": 48, "026296": 48, "032542": 48, "006817": 48, "09503409246217497": 48, "imageio": [49, 54, 56], "imread": [49, 54, 56], "484": 49, "783": 49, "085": 49, "958": 49, "073": 49, "802": 49, "077": [49, 51], "027": [32, 49], "873": 49, "020": 49, "663048": 49, "247848": 49, "636314": 49, "615760": 49, "41928467": 49, "58071533": 49, "0964233717482785": 49, "903576628251722": 49, "4192846743496557": 49, "5807153256503443": 49, "053": 49, "282920": 49, "780521": 49, "656565": 49, "046631": 49, "120583": 49, "31724168": 49, "26109564": 49, "73890436": 49, "58519824": 49, "41480176": 49, "24221916": 49, "75778084": 49, "20580318": 49, "79419682": 49, "394": 49, "13704": 50, "12508": 50, "shed": 50, "047914": 50, "010573": 50, "032475": 50, "010223": 50, "029946": 50, "010373": 50, "030347": 50, "010317": 50, "030336": 50, "009905": 50, "4237": 50, "0351607": 50, "5690201394269164": 50, "095": 50, "072": 50, "478": 50, "356533": 50, "743840": 50, "426102": 50, "333798": 50, "276547": 50, "078302": 50, "072203": 50, "049542": 50, "007104": 50, "003110": 50, "country_outli": 50, "guam": 50, "usvi": 50, "000025": 50, "000013": 50, "occupation_arm": 50, "000012": 50, "country_holand": 50, "netherland": 50, "000004": 50, "plot_siz": 50, "hue": 51, "001828": 51, "028418": 51, "130472": 51, "085936": 51, "880": 51, "126": [34, 51], "3252": 51, "452600": 51, "7099": 51, "1106": 51, "2401": 51, "1138": 51, "3014": 51, "358500": 51, "1467": 51, "496": 51, "177": 51, "2574": 51, "352100": 51, "1274": 51, "6431": 51, "341300": 51, "1627": 51, "565": 51, "8462": 51, "342200": 51, "007676": 51, "002997": 51, "015419": 51, "006034": 51, "020705": 51, "006861": 51, "017801": [31, 51], "007906": 51, "019558": 51, "007068": 51, "041103": 51, "010614": 51, "042370": 51, "015185": 51, "058692": 51, "015512": 51, "058763": 51, "015724": 51, "089928": 51, "016405": 51, "026809": 51, "007828": 51, "044908": 51, "010527": 51, "061209": 51, "011243": 51, "056894": 51, "011553": 51, "051862": 51, "011770": 51, "914": 51, "090": 51, "as_fram": [51, 59], "395": 51, "08045": 51, "05361": 51, "02681": 51, "03251": 51, "1641": 51, "05764": 51, "684": 51, "1066": 51, "1231": 51, "0846": 51, "07911": 51, "2523": 51, "06609": 51, "11670": 51, "20870": 51, "28100": 51, "15620": 51, "2162": 51, "06606": 51, "172": 51, "2081": 51, "1502": 51, "5717": 51, "7053": 51, "24220": 51, "3828": 51, "10070": 51, "381": 51, "07987": 51, "07079": 51, "03546": 51, "02074": 51, "06246": 51, "1095": 51, "1982": 51, "1553": 51, "06754": 51, "3202": 51, "07287": 51, "198": 51, "1148": 51, "08523": 51, "14280": 51, "11140": 51, "06772": 51, "1767": 51, "05529": 51, "1322": 51, "5601": 51, "3865": 51, "17080": 51, "3193": 51, "09221": 51, "432": 51, "11520": 51, "12960": 51, "03710": 51, "03003": 51, "07839": 51, "1424": 51, "2517": 51, "0942": 51, "06042": 51, "2727": 51, "10360": 51, "lr_l2_pipe": 51, "001830": 51, "219333": 51, "543376": 51, "215956": 51, "293937": 51, "065450": 51, "192030": 51, "655450": 51, "850999": 51, "446818": 51, "095681": 51, "314711": 51, "027409": 51, "857302": 51, "756209": 51, "329308": 51, "836200": 51, "020990": 51, "306175": 51, "135889": 51, "875058": 51, "799151": 51, "688446": 51, "626146": 51, "689233": 51, "384255": 51, "047503": 51, "860896": 51, "091686": 51, "357159": 51, "436556": 51, "predicton": 51, "sum_j": 51, "calll": 51, "sigmoid": 51, "sigma": 51, "lr_l1_pipe": 51, "liblinear": 51, "004590": 51, "001571": 51, "968296": 51, "986803": 51, "171052": 51, "437340": 51, "366957": 51, "899951": 51, "605914": 51, "765894": 51, "237705": 51, "020974": 51, "256502": 51, "353609": 51, "065019": 51, "187817": 51, "011451": 51, "randomforest": 51, "selction": 51, "mamba": 51, "interestingli": 51, "430083": 51, "008701": 51, "934771": 51, "008274": 51, "933020": 51, "221132": 51, "008003": 51, "950627": 51, "sarkozi": 52, "inertia": 52, "oddli": 52, "multivariate_norm": 52, "dataset_sub1": 52, "dataset_sub2": 52, "dataset_sub3": 52, "dataset_sub4": 52, "plot_kmeans_circl": 52, "gausssian": 52, "covariance_typ": 52, "gmm_label": 52, "means_": 52, "25596947": 52, "15011412": 52, "38137298": 52, "31731115": 52, "93609356": 52, "96311554": 52, "covariances_": 52, "97803583": 52, "26628563": 52, "11174164": 52, "09449493": 52, "25892116": 52, "394036": 52, "95673803": 52, "63462235": 52, "26072047": 52, "weights_": 52, "14042383": 52, "28682168": 52, "57275449": 52, "pi_k": 52, "mu_k": 52, "sigma_k": 52, "gaussian_mixture_1d": 52, "\u03d51": 52, "\u03d52": 52, "convex": 52, "diag": 52, "orient": 52, "cov_typ": 52, "plot_gmm_cov_typ": 52, "9996": 52, "0004": 52, "9899": 52, "0101": 52, "9966": 52, "0034": 52, "9961": 52, "0039": 52, "9935": 52, "0065": 52, "9927": 52, "0073": 52, "9981": 52, "0019": 52, "9839": 52, "0003": 52, "073780282241252": 52, "akaik": 52, "aic": 52, "bic": 52, "gmm_model": 52, "aic_scor": 52, "bic_scor": 52, "lowest": [52, 57], "agre": 53, "f2": 53, "req": 54, "8718": 54, "mermaid": 54, "n_toi": 54, "m_toi": 54, "user_mapper_toi": 54, "item_mapper_toi": 54, "user_inverse_mapper_toi": 54, "item_inverse_mapper_toi": 54, "utility_mat_toi": 54, "2632": 54, "2740": 54, "3072": 54, "2933": 54, "2646": 54, "2804": 54, "0171": 54, "1755": 54, "1939": 54, "2187": 54, "1770": 54, "1967": 54, "0189": 54, "263227": 54, "175461": 54, "648470": 54, "119723": 54, "273979": 54, "193898": 54, "690479": 54, "234411": 54, "307165": 54, "218716": 54, "685509": 54, "116034": 54, "293285": 54, "218148": 54, "686135": 54, "119938": 54, "264584": 54, "177027": 54, "678480": 54, "112205": 54, "eigentast": 54, "berkelei": 54, "archiv": [54, 55], "jester_dataset_2": 54, "surprise_data": 54, "5777": 54, "5787": 54, "5698": 54, "5673": 54, "5829": 54, "5753": 54, "0058": 54, "3196": 54, "3218": 54, "3124": 54, "3247": 54, "3212": 54, "0051": 54, "577692": 54, "319554": 54, "990808": 54, "122256": 54, "578666": 54, "327421": 54, "161996": 54, "026334": 54, "569781": 54, "321780": 54, "366242": 54, "029095": 54, "567327": 54, "312407": 54, "523125": 54, "435463": 54, "582858": 54, "324705": 54, "199505": 54, "375153": 54, "5238095238095237": 54, "collobor": 54, "nxm": 54, "collobr": 54, "coo_matrix": 55, "csr_matrix": 55, "schedul": [55, 57], "sushi": 55, "542754": 55, "ramen": 55, "541916": 55, "bento": 55, "539965": 55, "teriyaki": 55, "502705": 55, "yakisoba": 55, "502351": 55, "takoyaki": 55, "501550": 55, "onigiri": 55, "501540": 55, "burger": 55, "495270": 55, "ramen_noodl": 55, "493126": 55, "490753": 55, "1962": 55, "5098": 55, "746": 55, "15th": 55, "inca": 55, "citadel": 55, "eastern": 55, "cordillera": 55, "southern": 55, "peru": 55, "cbc": 55, "boondoggl": 55, "eleph": 55, "campaign": 55, "4105": 55, "subword": 55, "conceptnet": 55, "numberbatch": 55, "ruscorpora": 55, "gigaword": 55, "twitter": 55, "__testing_word2vec": 55, "3000000": 55, "3828125": 55, "18066406": 55, "10644531": 55, "4296875": 55, "21582031": 55, "10693359": 55, "13476562": 55, "08740234": 55, "14648438": 55, "09619141": 55, "02807617": 55, "01409912": 55, "12890625": 55, "21972656": 55, "41210938": 55, "11914062": 55, "22851562": 55, "19433594": 55, "08642578": 55, "uvic": 55, "788647472858429": 55, "sfu": 55, "7588528394699097": 55, "simon_fras": 55, "7356574535369873": 55, "ufv": 55, "6880435943603516": 55, "viu": 55, "6778583526611328": 55, "kwantlen": 55, "677142858505249": 55, "ubco": 55, "6734487414360046": 55, "upei": 55, "6731126308441162": 55, "ubc_okanagan": 55, "6709135174751282": 55, "lakehead_univers": 55, "6622507572174072": 55, "7363681793212891": 55, "infom": 55, "680029571056366": 55, "infor_m": 55, "673384964466095": 55, "informaiton": 55, "6639009118080139": 55, "informa_t": 55, "660125732421875": 55, "informationon": 55, "633933424949646": 55, "informationabout": 55, "6320979595184326": 55, "6186580657958984": 55, "informaion": 55, "6093292236328125": 55, "6063088774681091": 55, "alberta": 55, "6111124157905579": 55, "6086404919624329": 55, "ontario": 55, "6031432747840881": 55, "erik": 55, "5993571281433105": 55, "dominican_republ": 55, "5925410985946655": 55, "costco": 55, "5824529528617859": 55, "rhode_island": 55, "5804311633110046": 55, "dreampharmaceut": 55, "5755444169044495": 55, "5630921721458435": 55, "austin": 55, "5623061656951904": 55, "27610135": 55, "0019627814": 55, "473": 55, "668": 55, "418": 55, "queen": 55, "711819": 55, "monarch": 55, "618967": 55, "590243": 55, "crown_princ": 55, "549946": 55, "princ": 55, "537732": 55, "523684": 55, "queen_consort": 55, "523595": 55, "518113": 55, "sultan": 55, "509859": 55, "monarchi": 55, "508741": 55, "canuck": 55, "821327": 55, "vancouver_canuck": 55, "750401": 55, "calgary_flam": 55, "705470": 55, "695783": 55, "maple_leaf": 55, "691617": 55, "thrasher": 55, "687504": 55, "681716": 55, "sabr": 55, "665307": 55, "blackhawk": 55, "664625": 55, "hab": 55, "661023": 55, "footbal": 55, "526435": 55, "coach_joe_paopao": 55, "483591": 55, "cfl": 55, "475092": 55, "ovfl": 55, "465395": 55, "rugbi": 55, "463872": 55, "football_leagu": 55, "463702": 55, "soccer": 55, "462594": 55, "kavis_re": 55, "462520": 55, "cfler": 55, "461182": 55, "sacobi": 55, "459857": 55, "singer_songwriter_bob_dylan": 55, "505507": 55, "johnny_cash": 55, "495035": 55, "randy_vanwarm": 55, "490558": 55, "heard_voic": 55, "487652": 55, "legendary_singer_songwrit": 55, "484667": 55, "pete_seeg": 55, "478709": 55, "joan_baez": 55, "476631": 55, "tillie_olsen": 55, "476463": 55, "snooky_pryor": 55, "474850": 55, "receive_honorary_doctor": 55, "472725": 55, "homemak": 55, "562712": 55, "housewif": 55, "510505": 55, "graphic_design": 55, "505180": 55, "schoolteach": 55, "497949": 55, "businesswoman": 55, "493489": 55, "paraleg": 55, "492551": 55, "registered_nurs": 55, "490797": 55, "saleswoman": 55, "488163": 55, "electrical_engin": 55, "479773": 55, "mechanical_engin": 55, "475540": 55, "65486": 55, "2584": 55, "062793": 55, "8801": 55, "96833": 55, "5131": 55, "7041": 55, "077749": 55, "mo": 55, "confer": 55, "appl": 55, "kiwi": 55, "topi": 55, "doc_id": 55, "markov": 55, "39x15": 55, "33380754": 55, "31038074": 55, "33476534": 55, "33397112": 55, "36695134": 55, "33439238": 55, "33381373": 55, "35771821": 55, "33380649": 55, "78521263": 55, "33380761": 55, "3573886": 55, "31634363": 55, "32791718": 55, "33224516": 55, "33400489": 55, "2173627": 55, "33411086": 55, "33732465": 55, "28753559": 55, "33223002": 55, "33435326": 55, "33224759": 55, "33797555": 55, "3322447": 55, "33462759": 55, "33440682": 55, "33425967": 55, "3339473": 55, "35561437": 55, "44787197": 55, "33191802": 55, "29572402": 55, "37807203": 55, "33395626": 55, "30792853": 55, "33394593": 55, "87681182": 55, "33394769": 55, "30798381": 55, "34924955": 55, "33782315": 55, "component_label": 55, "update_layout": 55, "xaxis_titl": 55, "yaxis_titl": 55, "xaxi": 55, "tickangl": 55, "autos": 55, "08791477": 55, "08338644": 55, "82869879": 55, "3868": 55, "provinci": 55, "displaystyl": 55, "leagu": 55, "puck": 55, "mutat": 55, "signatur": 55, "cosmic": 55, "ain": 55, "mustn": 55, "shan": 55, "needn": 55, "yourselv": 55, "mightn": 55, "ma": 55, "nsubj": 55, "dobj": 55, "20th": 56, "ovr": 56, "ovo": 56, "7133333333333334": 56, "716": 56, "7893333333333333": 56, "2627451": 56, "27450982": 56, "30588236": 56, "7764706": 56, "76862746": 56, "savannah": 56, "000466": 56, "010418": 56, "000701": 56, "001084": 56, "214988": 56, "670524": 56, "000258": 56, "005873": 56, "312008": 56, "000191": [36, 56], "015757": 56, "329988": 56, "244085": 56, "016992": 56, "050784": 56, "374036": 56, "872947": 56, "216314": 56, "147609": 56, "004717": 56, "004709": 56, "003552": 56, "096267": 56, "417313": 56, "000399": 56, "002817": 56, "380481": 56, "000411": 56, "055866": 56, "214226": 56, "229936": 56, "766309": 56, "232929": 56, "597416": 56, "020700": 56, "038119": 56, "094710": 56, "748593": 56, "000562": 56, "004004": 56, "002272": 56, "001575": 56, "096109": 56, "588947": 56, "000692": [15, 56], "003586": 56, "197310": 56, "000218": 56, "071906": 56, "163141": 56, "390323": 56, "330654": 56, "427222": 56, "111930": 56, "461093": 56, "069564": 56, "700509": 56, "981004": 56, "001858": [44, 56], "002949": 56, "003655": 56, "129396": 56, "942106": 56, "107184": 56, "375395": 56, "505707": 56, "224693": 56, "589073": 56, "093113": 56, "497981": 56, "543450": 56, "081415": 56, "671496": 56, "620780": 56, "000576": 56, "003351": 56, "000918": 56, "003353": 56, "114838": 56, "237181": 56, "000640": 56, "002640": 56, "629871": 56, "000445": 56, "670473": 56, "063835": 56, "211470": 56, "003894": 56, "009912": 56, "145608": 56, "468171": 56, "124041": 56, "032565": 56, "011959": 56, "8866666666666667": 56, "2023w": 57, "swng": 57, "engag": 57, "deepen": 57, "bypass": 57, "desk": 57, "resolv": [57, 59], "audit": 57, "auditor": 57, "unoffici": 57, "mainli": 57, "nevertheless": 57, "earnest": 57, "furthermor": 57, "happier": 57, "expir": 57, "addition": 57, "referenc": 57, "justifi": 57, "coursework": 57, "compassion": 57, "traumat": 57, "sexual": 57, "assault": 57, "misconduct": 57, "seek": 57, "chat": 57, "distract": 57, "photograph": 57, "commit": 57, "hybrid": 57, "worksheet_1": 58, "hashlib": [58, 59, 60], "sha1": [58, 59, 60], "autograd": 58, "upload": 58, "drag": 58, "rubric": [58, 60], "sentenc": 58, "________": 58, "_________": 58, "jump": 58, "solution_1": [58, 59, 60], "ellipsi": [58, 59], "q1": [58, 59, 60], "doctest": [58, 59], "1348": [58, 59], "__run": [58, 59], "exec": [58, 59], "compil": [58, 59], "nonetyp": [58, 59], "utf": [58, 59], "hexdigest": [58, 59], "24ebc14140161ec925b8095832f2be7dfa63beb7": 58, "salari": 58, "offer_data": 58, "supportive_colleagu": 58, "work_hour_flex": 58, "start_up": 58, "offer_df": 58, "unhappi": 58, "happiness_data": 58, "supportive_colleagues_acc": 58, "solution_2": 58, "q2": [58, 59], "assertionerror": [58, 59], "1469842b4307d36cccb487dc989f21016daadbcc": 58, "attributeerror": 58, "toy_tre": 58, "get_n_leav": 58, "toy_tree_viz": 58, "77de68daecd823babbb58edb1c8e14d7106e83bb": 58, "4621a7584156c08258ad22a7adc86667984d9382": 58, "toy_depth": 58, "train_acc": 58, "round_": [58, 59], "fromnumer": [28, 58, 59], "3763": [58, 59], "3337": [58, 59], "_wrapfunc": [58, 59], "_wrapit": [58, 59], "obj": [58, 59], "asarrai": [58, 59], "unsupport": [58, 59], "happy_job_indic": 58, "c48ac7e6c9a92c1a4160e3096f915d1651e6c18f": 58, "confin": 58, "wit": 58, "slider": [58, 59], "jupyterlab_widget": [58, 59], "cal": 58, "x_reg": 58, "y_reg": 58, "plot_depth_regress": 58, "height_scal": 58, "width_scal": 58, "reg_tre": 58, "depth_selector": 58, "640x480": 58, "worksheet_2": 59, "learnt": [59, 60], "load_iri": 59, "ah": 59, "mission": 59, "zog": 59, "vega": 59, "jovian": 59, "martian": 59, "orion": 59, "stella": 59, "luna": 59, "guesstim": 59, "guesswork": 59, "shortest": 59, "footpath": 59, "alien_loc": 59, "zog_loc": 59, "footstep_dist": 59, "4142135623730951": 59, "distance_vega": 59, "distance_max": 59, "distance_orion": 59, "distance_stella": 59, "distance_luna": 59, "1f": 59, "3aba914b9c983dec91591bbdb6d0a28cc7420963": 59, "__round__": 59, "blow": 59, "lightli": 59, "bellow": 59, "answer_1": 59, "answer_2": 59, "answers_1_2": 59, "51fe72d9f07dfe94861978781ded7efe972fd383": 59, "effortlessli": 59, "tie": 59, "equidist": 59, "sepal": 59, "petal": 59, "84633e0bb09c3452a10903e74f825bff93f2016": 59, "b1d5781111d84f7b3fe45a0852e59758cd7a87e5": 59, "e6da655eed7b9306b624c65d43d42651284d84fd": 59, "indexerror": 59, "9ba26e2adc0afa273575707cb431da2c4c0f71ec": 59, "consult": 59, "wiggli": 59, "wider": [59, 60], "smoother": 59, "tweak": 59, "tightrop": 59, "broad": 59, "refin": 59, "jupyter_widget": 59, "wherev": 59, "clear_output": 59, "floatlogslid": 59, "iris_df": 59, "train_and_visualize_svm": 59, "train_and_visualize_knn": 59, "train_and_visualize_tre": 59, "tight_layout": 59, "diabet": 59, "worksheet_3": 60, "reconsid": 60, "dummy_mean_cv_scor": 60, "num_mean_cv_scor": 60, "num_cat_mean_cv_scor": 60, "exclud": 60, "svc_all_pip": 60, "all_mean_cv_scor": 60, "passthrough_fet": 60, "0x1677c6d10": 9, "32978568": 9, "27737742": 9, "30966929": 9, "04725791": 9, "174181": 9, "45652802": 9, "2773774154553146": 9, "001406": 15, "000822": 15, "001007": 15, "000662": 15, "000963": 15, "000673": 15, "000694": 15, "000719": 15, "000690": 15, "000955": 15, "000680": 15, "000660": 15, "000887": 15, "000624": 15, "000996": 15, "001516": 15, "000656": 15, "000689": 15, "000978": 15, "000645": [15, 31], "000638": 15, "000997": 15, "000698": 15, "000920": 15, "000967": 15, "782": 15, "217500": 15, "048940": 15, "066251": 15, "072707": 15, "012019": 15, "216667": 15, "085025": 15, "029909": 15, "088397": 15, "009422": 15, "209583": 15, "091819": 15, "009260": 15, "097938": 15, "005563": 15, "235417": 15, "096990": 15, "242083": 15, "086932": 15, "092687": 15, "005546": 18, "002353": 18, "002291": 18, "004370": 18, "002261": 18, "002258": 18, "004334": 18, "007080": 18, "005243": 18, "002341": 18, "004419": 18, "002299": 18, "004387": 18, "002222": 18, "004386": 18, "002237": 18, "004359": 18, "002235": 18, "005925": 18, "002816": 18, "005036": 18, "002637": 18, "005047": 18, "005041": 18, "002626": 18, "004964": 18, "002623": 18, "004752": 19, "000512": 19, "002745": 19, "000470": 19, "000429": 19, "002662": 19, "000552": 19, "003294": 19, "000455": 19, "000256": [19, 44], "000535": 19, "000184": 19, "000292": 19, "000246": 19, "000123": 19, "004266": 19, "000357": 19, "002289": 19, "002164": 19, "002091": 19, "000285": 19, "002115": 19, "2900": 28, "2786": 28, "3040": [28, 31], "2779": 28, "2821": 28, "0146": 28, "2148": 28, "1876": 28, "1829": 28, "2264": 28, "1941": 28, "0167": 28, "290015": 28, "214789": 28, "525016": 28, "094339": 28, "278569": 28, "187631": 28, "256846": 28, "220660": 28, "259974": 28, "182936": 28, "238888": 28, "085514": 28, "304010": 28, "226410": 28, "229876": 28, "146885": 28, "277926": 28, "194138": 28, "214270": 28, "084685": 28, "1793": 28, "n_completed_task": 28, "1794": 28, "print_progress": 28, "train_measur": 28, "train_predict": 28, "rmse_": 28, "__array_function__": 28, "3464": 28, "keepdim": 28, "3461": 28, "3462": 28, "_method": 28, "_mean": 28, "3465": 28, "asanyarrai": 28, "is_float16_result": 28, "rcount": 28, "_count_reduce_item": 28, "1943": [], "lstrip": [], "1942": [], "frombuff": [], "i_vector": [], "_add_word_to_kv": [], "bytes_per_vector": [], "1909": [], "logger": [], "word_id": [], "add_vector": [], "1913": [], "1914": [], "bogu": [], "1915": [], "todo": [], "somedai": [], "zipf": [], "1916": [], "word_count": [], "548": [], "slot": [], "529": [], "ineffici": [], "realloc": [], "545": [], "target_index": [], "next_index": [], "index_to_kei": [], "549": [], "550": [], "551": [], "553": [], "prealloc": [], "554": [], "252": 30, "8026666666666666": 30, "7373333333333333": 30, "38431373": 30, "4117647": 30, "42745098": 30, "34117648": 30, "34509805": 30, "36862746": 30, "001248": [], "000521": [], "000223": [], "000739": [], "000750": [], "000255": [], "001215": [], "7750553478074826": 31, "83320": 31, "24182": 31, "7781845435415525": 31, "243212": 31, "927576": 31, "865455": 31, "location_witchcliff": 31, "729178": 31, "location_townsvil": 31, "718523": 31, "location_katherin": 31, "726349": 31, "location_wollongong": 31, "748329": 31, "location_mountginini": 31, "964628": 31, "221788": 31, "144729": 31, "1031": 31, "144730": 31, "1029": 31, "144731": 31, "144732": 31, "57415": 31, "ballarat": 31, "119911": 31, "perthairport": 31, "60455": 31, "bendigo": 31, "66473": 31, "melbourneairport": 31, "8478874811631412": 31, "243125": 31, "939310": 31, "864369": 31, "731127": 31, "720150": 31, "715836": 31, "736917": 31, "745582": 31, "963181": 31, "221646": 31, "62657": 31, "115089": 31, "115090": 31, "115091": 31, "115092": 31, "128828": 31, "128829": 31, "128830": 31, "128820": 31, "72036": 31, "266912": 31, "945668": 31, "798893": 31, "748824": 31, "705665": 31, "location_darwin": 31, "735386": 31, "748457": 31, "902783": 31, "926680": 31, "181793": 31, "069933": 31, "219294": 31, "111232": 31, "050885": 31, "2309": 31, "2310": 31, "2311": 31, "2312": 31, "2313": 31, "3041": 31, "3042": 31, "3043": 31, "3044": 31, "081042": 31, "008300": 31, "108487": 31, "023054": 31, "018269": 31, "278574": 31, "267491": 31, "dependents_no": 32, "dependents_y": 32, "streamingmovies_no": 32, "gender_femal": 32, "gender_mal": 32, "042": 32, "019": 32, "3525": 32, "641": 32, "347917": 32, "067781": 32, "165713": 32, "431408": 32, "180234": 32, "539424": 32, "404809": 32, "527251": 32, "753821": 32, "069192": 32, "418213": 32, "146987": 32, "658222": 32, "863305": 32, "084314": 32, "000044": 32, "465356": 32, "018217": 32, "018384": 32, "066333": 32, "111793": 32, "148227": 32, "894230": 32, "159776": 32, "274631": 32, "783599": 32, "351812": 32, "981948": 32, "862236": 32, "118281": 32, "180214": 32, "197473": 32, "067879": 32, "047174": 32, "313254": 32, "048304": 32, "367868": 32, "654935": 32, "007932": 32, "978031": 32, "154556": 32, "856795": 32, "069302": 32, "290385": 32, "018727": 32, "747975": 32, "981447": 32, "230194": 32, "025735": 32, "280148": 32, "streamingmovies_y": 32, "1632": 34, "minibatch": 34, "1630": 34, "size_": 34, "itertool": 34, "islic": 34, "1633": 34, "trainable_pip": 34, "tok2vec": 34, "get_dim": 34, "tokvec": 34, "_list_forward": 34, "numpy_op": 34, "asarray1i": 34, "seq": 34, "xf": 34, "yf": 34, "get_dxf": 34, "dy": 34, "listxd": 34, "dyf": 34, "d_output": 34, "dx": 34, "backprop_lay": 34, "004760": 36, "000708": 36, "000164": 36, "000152": 36, "000200": 36, "000803": 36, "114997": 36, "003168": 36, "000363": 36, "002012": 36, "001889": 36, "000354": 36, "001947": 36, "000655": 37, "000594": 37, "000463": 37, "000351": 37, "000344": 37, "000450": 37, "000343": 37, "000431": 37, "000334": 37, "0x14ac06aa0": 44, "000377": 44, "001086": 44, "000861": 44, "000855": 44, "004939": 44, "003220": 44, "003174": 44, "001712": 44, "003152": 44, "001699": 44, "003126": 44, "001736": 44, "obsolet": [], "nanosecond": 31, "billionth": 31, "epoch": 31, "utc": 31, "000268": 31, "000925": [], "000740": [], "000878": [], "000612": [], "001252": [], "000623": [], "tick": 31, "000782": 31, "000537": 31, "001041": 31, "000754": 31}, "objects": {}, "objtypes": {}, "objnames": {}, "titleterms": {"licens": [0, 1], "instruct": [0, 8, 58], "materi": [0, 10], "softwar": [0, 30, 31, 56], "ubc": [1, 57], "cpsc": [1, 3, 4, 7, 9, 13], "330": [1, 3, 4, 7, 9, 13], "appli": [1, 9, 17, 18, 22, 43, 48], "machin": [1, 13, 14, 15, 16, 21, 26, 52], "learn": [1, 6, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35, 38, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56], "2023w1": 1, "The": [1, 15, 19, 20, 23, 25, 26, 28, 33, 45, 49, 51, 52, 54, 59], "teach": [1, 57], "team": [1, 57], "instructor": [1, 13], "cours": [1, 10, 12, 13, 54, 57], "co": [1, 13, 29, 55, 57], "ordin": [1, 13, 17, 18, 24, 42, 43, 50, 57], "ta": [1, 13, 57], "import": [1, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 42, 45, 47, 49, 50, 52, 54, 58, 59, 60], "link": [1, 13], "deliver": 1, "due": 1, "date": [1, 31], "tent": 1, "lectur": [1, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 35, 36, 37, 38, 40, 41, 42, 43, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56], "schedul": 1, "covid": [1, 57], "safeti": [1, 57], "land": 1, "acknowledg": 1, "attribut": [2, 24, 50], "vs": [3, 13, 14, 15, 16, 21, 24, 26, 27, 29, 30, 42, 45, 47, 50, 51, 52, 53, 55, 56], "340": [3, 13], "document": [4, 9, 26, 29, 34, 52, 55], "how": [5, 8, 14, 15, 16, 17, 19, 23, 24, 25, 26, 27, 29, 43, 45, 49, 50, 51, 52, 53, 54, 55], "ask": 5, "help": [5, 25, 51], "piazza": 5, "specif": [5, 25, 51], "q": 5, "A": [5, 21, 26, 27, 29, 31, 33, 47, 52, 53, 55], "guidelin": [5, 7, 8], "gener": [5, 7, 15, 16, 19, 23, 25, 45, 49, 51], "question": [5, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 31, 32, 35, 37, 38, 39, 42, 46, 49, 53, 54, 55], "grade": [5, 7, 13, 14, 57], "relat": [5, 14, 16, 29, 55], "what": [6, 11, 13, 15, 17, 18, 19, 21, 22, 23, 24, 25, 26, 28, 29, 32, 37, 39, 43, 44, 47, 48, 49, 50, 51, 52, 54, 55], "ar": [6, 13, 14, 17, 19, 21, 26, 27, 28, 29, 37, 43, 45, 48, 52, 53, 54, 55], "git": [6, 11], "github": 6, "desktop": 6, "command": 6, "line": 6, "set": [6, 11, 13, 15, 20, 21, 35, 46, 47], "up": [6, 11, 13, 15, 16], "mac": 6, "user": [6, 28, 54], "ubuntu": 6, "window": [6, 11], "test": [6, 15, 20, 31, 35, 46, 60], "your": [6, 13, 14, 35], "instal": [6, 11], "polici": 7, "concern": 7, "time": [7, 13, 26, 31, 32], "limit": [7, 19, 27, 45, 53], "reason": 7, "homework": [8, 13], "info": 8, "submiss": 8, "access": [8, 19], "assign": [8, 57], "submit": 8, "other": [8, 9, 16, 22, 24, 25, 26, 28, 29, 31, 32, 51, 52, 54, 55], "dataset": [8, 14, 17, 18, 19, 20, 21, 22, 28, 30, 31, 38, 39, 43, 46, 47, 48, 54, 56, 58, 60], "report": [8, 21, 47], "format": [8, 9, 13], "figur": 8, "partner": 8, "late": 8, "updat": [8, 26], "cite": 8, "sourc": 8, "python": [9, 10, 11, 13], "note": [9, 13, 15, 31], "about": [9, 13, 25, 26, 28, 29, 39, 51, 52, 54, 55], "thi": [9, 13, 17, 18, 24, 37, 50, 52], "plot": [9, 24, 26, 27, 50, 52], "matplotlib": 9, "numpi": 9, "arrai": 9, "shape": [9, 27, 53], "broadcast": 9, "slowest": 9, "method": [9, 20, 25, 26, 37, 46, 51, 52], "nest": 9, "loop": 9, "faster": 9, "vector": [9, 16, 29, 55], "over": [9, 16, 19, 21], "row": 9, "No": 9, "make": [9, 19, 45], "them": 9, "same": [9, 48], "size": 9, "multipli": 9, "element": 9, "wise": 9, "fastest": 9, "when": [9, 17, 20, 26, 46, 52], "can": [9, 15, 17, 23, 24, 25, 26, 29, 49, 50, 51, 52, 54, 55], "we": [9, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 32, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 54, 55], "us": [9, 13, 14, 15, 16, 17, 18, 21, 22, 23, 24, 25, 26, 28, 29, 30, 33, 34, 36, 44, 48, 49, 50, 51, 52, 54, 55, 56, 57, 59], "introduct": [9, 13, 24, 25, 26, 27, 29, 30, 50, 51, 52, 53, 55, 56], "panda": 9, "seri": [9, 31], "datafram": [9, 18], "index": 9, "notat": 9, "cheatsheet": 9, "break": [9, 13, 14, 15, 16, 17, 18, 25, 28, 29, 30, 32, 44, 46, 54, 55, 56], "5": [9, 13, 14, 15, 16, 17, 18, 21, 24, 25, 26, 28, 29, 30, 32, 37, 43, 44, 46, 50, 52, 54, 55, 56, 58, 60], "min": [9, 13, 14, 15, 16, 17, 18, 21, 24, 25, 26, 28, 29, 30, 32, 44, 46, 50, 51, 52, 54, 55, 56], "read": [9, 14, 20, 30, 56], "from": [9, 25, 33, 51], "csv": 9, "url": 9, "summari": [9, 13, 14, 15, 16, 17, 19, 20, 21, 23, 24, 25, 26, 27, 28, 29, 30, 32, 43, 45, 46, 47, 49, 50, 51, 52, 53, 54, 55, 56], "renam": 9, "column": [9, 17, 18, 31], "df": 9, "ad": 9, "remov": [9, 29, 55], "drop": 9, "sort": 9, "sort_valu": 9, "filter": [9, 28, 54], "queri": [9, 16, 28], "function": [9, 19, 22, 26, 45, 48], "applymap": 9, "refer": [10, 32], "relev": [10, 21, 23, 25, 49, 51], "companion": 10, "resourc": [10, 13, 20, 21, 25, 26, 27, 28, 51], "visual": [10, 20, 27, 29, 34, 53, 55, 58], "onlin": [10, 33], "short": [10, 29, 55], "post": 10, "articl": [10, 29, 55], "list": 10, "misc": 10, "code": [11, 13, 57], "environ": 11, "conda": 11, "maco": 11, "packag": [11, 28, 31, 54], "jupyterlab": 11, "virtual": 11, "why": [11, 13, 18, 20, 24, 25, 26, 28, 29, 30, 46, 50, 51, 54, 55, 56], "debug": 11, "credit": 11, "object": [12, 14, 23, 26, 29, 30, 31, 32, 49, 55, 56, 58], "1": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 32, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 58, 59, 60], "outcom": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 25, 26, 27, 28, 43, 44, 45, 46, 47, 48, 50, 51, 52, 53, 54], "charact": 13, "meet": [13, 57], "eva": [13, 15, 28, 54], "fictiti": 13, "persona": 13, "you": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 31, 38, 46, 49, 51, 53, 54, 55], "all": [13, 14, 17, 19, 21, 26, 27, 52, 53], "attent": [13, 14, 16], "ml": [13, 15, 16, 21, 24, 29, 39, 42, 50, 54, 55], "video": [13, 14, 15, 16, 17, 19, 21, 22, 23, 26, 27, 29, 49, 52, 53, 55], "preval": 13, "save": 13, "scale": [13, 17, 19, 24, 37, 43, 44, 45, 50], "product": [13, 29, 55], "supervis": [13, 14, 15, 16, 26, 28, 52, 54], "type": [13, 15, 21, 22, 24, 26, 28, 29, 31, 32, 47, 48, 52, 54, 55], "exampl": [13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 25, 26, 28, 29, 32, 33, 46, 47, 49, 50, 51, 52, 54, 55], "predict": [13, 14, 18, 19, 23, 24, 28, 30, 32, 45, 49, 50, 54, 58], "whether": 13, "messag": [13, 27, 53], "spam": [13, 18], "input": [13, 26, 27, 29, 52, 53, 55], "featur": [13, 14, 16, 17, 18, 19, 22, 24, 25, 26, 28, 30, 31, 33, 37, 42, 43, 44, 45, 48, 50, 51, 54, 56, 58, 60], "x": [13, 14, 22, 24, 48], "target": [13, 14, 18, 22, 26, 48, 52, 58], "y": [13, 14, 22, 24, 48], "train": [13, 14, 15, 18, 19, 21, 29, 30, 31, 34, 47, 55, 56, 58], "model": [13, 14, 15, 16, 17, 18, 19, 22, 23, 24, 25, 28, 29, 30, 32, 34, 35, 36, 38, 42, 45, 48, 49, 50, 51, 52, 54, 55, 56, 58, 60], "unseen": [13, 15], "data": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 31, 35, 37, 39, 44, 46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58], "popular": 13, "definit": 13, "patient": 13, "ha": 13, "liver": 13, "diseas": 13, "build": [13, 14, 22, 28, 38, 54], "2": [13, 14, 15, 16, 17, 18, 19, 20, 22, 26, 27, 29, 30, 32, 43, 44, 45, 46, 48, 49, 51, 52, 53, 55, 56, 58, 59, 60], "label": [13, 26, 33, 52], "given": [13, 14], "imag": [13, 30, 36, 40, 56], "3": [13, 14, 15, 16, 17, 25, 26, 27, 32, 35, 44, 51, 52, 53, 58, 60], "sentiment": [13, 34], "express": 13, "movi": [13, 28, 54], "review": [13, 38, 42], "4": [13, 14, 15, 16, 36, 52, 58, 60], "hous": [13, 14, 17, 18, 19, 58], "price": [13, 14, 58], "s": [13, 15, 16, 17, 18, 21, 22, 24, 28, 31, 34, 37, 39, 40, 44, 50, 54, 55], "workflow": [13, 15, 21], "iclick": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 30, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 56, 57], "cloud": 13, "join": 13, "http": 13, "com": 13, "snbf": 13, "select": [13, 14, 25, 26, 27, 42, 51, 52, 53], "follow": [13, 14, 15, 26, 27, 35, 52, 53], "statement": [13, 14, 26, 27, 52, 53], "which": [13, 14, 21, 23, 26, 27, 47, 49, 52, 53], "true": [13, 26, 27, 52, 53], "survei": 13, "8": [13, 20, 46, 58], "websit": 13, "registr": [13, 57], "waitlist": 13, "prerequisit": 13, "calendar": 13, "structur": 13, "conduct": [13, 57], "jupyt": 13, "notebook": 13, "style": 13, "comput": [13, 30, 56], "recommend": [13, 17, 28, 43, 54], "browser": 13, "requir": 13, "checklist": 13, "befor": [13, 17], "next": 13, "class": [13, 20, 21, 22, 23, 24, 30, 35, 36, 37, 38, 40, 41, 44, 47, 48, 49, 50, 56, 57], "terminolog": [14, 30, 56, 58], "baselin": [14, 17, 21, 23, 24, 28, 35, 47, 48, 49, 50, 51, 54], "decis": [14, 16, 19, 24, 35, 45, 50, 58], "tree": [14, 23, 24, 35, 49, 50, 58], "plan": [14, 15, 16, 17, 20, 26, 27, 43, 52, 55], "announc": [14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 28, 31, 35, 37, 43, 44, 45, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56], "lo": [14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 28, 30, 31, 35, 37, 54], "big": [14, 15, 17], "pictur": [14, 15, 17], "toi": [14, 18, 21, 28, 29, 47, 54, 55, 58], "recap": [14, 16, 27, 51, 53, 55], "tabular": [14, 16], "altern": [14, 17, 29, 37, 55], "unsupervis": [14, 26, 29, 52, 55], "classif": [14, 21, 28, 30, 33, 34, 36, 39, 47, 54, 56, 59], "regress": [14, 16, 19, 21, 22, 23, 28, 30, 45, 48, 49, 51, 54, 56], "exercis": [14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 29, 30, 43, 44, 45, 46, 47, 48, 49, 51, 55, 56, 58, 59, 60], "remind": 14, "dummyclassifi": [14, 23, 31, 32, 49], "step": [14, 26, 29, 55], "classifi": [14, 19, 23, 25, 37, 38, 45, 49, 58, 59], "sklearn": [14, 17, 18, 20, 21, 23, 24, 26, 29, 37, 43, 44, 46, 49, 50, 52, 55], "creat": [14, 15, 18, 27, 28, 53, 54, 58], "fit": [14, 17, 23, 43, 49, 58], "score": [14, 15, 19, 20, 21, 22, 25, 26, 29, 39, 46, 47, 48, 51, 52, 55, 60], "dummyregressor": [14, 17, 22], "write": 14, "tradit": [14, 31], "program": 14, "quiz2": 14, "algorithm": [14, 16, 25, 26, 27, 51, 52, 53], "decisiontreeclassifi": [14, 23, 49], "some": [14, 20, 21, 23, 25, 28, 29, 37, 46, 49, 51, 54, 55], "doe": [14, 19, 27, 45, 52, 53], "work": [14, 23, 27, 49, 52, 53], "warn": [14, 25, 51], "continu": 14, "problem": [14, 15, 16, 17, 20, 25, 28, 29, 31, 46, 51, 54, 55], "more": [14, 16, 17, 18, 19, 21, 22, 25, 27, 28, 31, 45, 47, 48, 51, 53, 54], "paramet": [14, 19, 20, 21, 46], "max_depth": 14, "hyperparamet": [14, 16, 18, 19, 20, 22, 23, 26, 27, 42, 45, 46, 48, 49, 52, 53], "boundari": [14, 16, 19, 45], "quiz": 14, "countri": 14, "longitud": 14, "latitud": 14, "real": 14, "between": [14, 16, 29, 34, 55], "canada": 14, "usa": 14, "practic": [14, 16], "final": [14, 20, 26, 27, 28, 31, 46, 52, 53, 54, 57], "comment": [14, 20, 21, 22, 26, 27, 28, 46, 47, 48, 52, 53, 54], "reflect": [14, 15, 26, 27, 52, 53], "fundament": [15, 16, 23, 42, 49], "motiv": [15, 16, 17, 19, 20, 21, 23, 24, 25, 26, 27, 28, 29, 31, 43, 46, 50, 51, 53, 54, 55], "complex": [15, 26], "error": [15, 20, 21, 22, 28, 46, 47, 48, 54], "goal": [15, 29, 55], "split": [15, 17, 21, 28, 31, 35, 37, 47, 54], "approxim": 15, "simpl": [15, 25, 51], "train_df": 15, "test_df": 15, "test_siz": 15, "train_siz": 15, "argument": [15, 16], "random_st": 15, "valid": [15, 17, 20, 21, 28, 31, 35, 43, 44, 46, 47, 54], "deploy": 15, "cross": [15, 17, 21, 25, 28, 31, 35, 43, 44, 47, 51, 54], "singl": [15, 27, 35, 53], "rescu": 15, "scikit": [15, 17, 18, 22, 44, 48], "cross_val_scor": 15, "cross_valid": [15, 22, 48], "our": [15, 17, 24, 25, 32, 34, 50, 51], "typic": [15, 29, 55], "underfit": 15, "overfit": [15, 20, 46], "trade": [15, 16, 23, 49], "off": [15, 16, 23, 49], "golden": [15, 17, 18, 43], "rule": [15, 17, 18, 43], "tradeoff": [15, 21, 23, 47, 49], "bia": [15, 20, 46], "varianc": 15, "pick": [15, 20, 46], "would": [15, 54], "better": [15, 20, 21, 25, 26, 51, 52], "name": [15, 22, 28, 29, 54, 55], "violat": 15, "avoid": 15, "here": 15, "ll": 15, "did": [15, 17, 18, 21, 22, 28, 32, 44, 47, 48, 54], "todai": [15, 17, 18, 21, 22, 44, 47, 48, 55], "come": [15, 16], "k": [16, 17, 26, 27, 28, 52, 53, 54, 59], "nearest": [16, 17, 26, 28, 52, 54], "neighbour": [16, 17, 28, 54], "svm": [16, 19, 36, 45, 59], "rbf": [16, 36, 59], "quick": 16, "distanc": [16, 26, 52, 53, 55], "analog": 16, "base": [16, 23, 25, 28, 31, 49, 51, 54], "idea": [16, 21, 23, 25, 26, 27, 28, 47, 49, 51, 52, 53, 54], "geometr": 16, "view": [16, 18, 29, 55], "dimens": 16, "similar": [16, 29, 34, 55], "euclidean": [16, 55], "find": [16, 25, 26, 28, 29, 52, 55], "point": [16, 21, 24, 26, 31, 47, 50, 52], "nn": 16, "choos": [16, 26, 52], "n_neighbor": 16, "kneighborsclassifi": [16, 36], "pro": [16, 27, 42, 53], "con": [16, 27, 42, 53], "option": [16, 17, 20, 21, 23, 25, 26, 28, 34, 43, 46, 49, 51, 52, 54, 58], "parametr": [16, 45], "non": [16, 18, 24, 45, 50], "curs": 16, "dimension": 16, "support": 16, "kernel": 16, "overview": [16, 21, 29, 55], "let": [16, 17, 18, 21, 22, 24, 28, 37, 39, 40, 54], "explor": [16, 26, 39, 48, 52, 53], "gamma": 16, "c": [16, 20], "search": [16, 20, 25, 29, 46, 51, 55], "multipl": [16, 18, 22, 48], "regressor": 16, "preprocess": [17, 18, 22, 29, 31, 42, 43, 44, 48, 55, 60], "pipelin": [17, 29, 43, 44, 55], "spotifi": [17, 20, 46, 60], "standardscal": 17, "transform": [17, 18, 22, 25, 43, 44, 48, 51, 60], "paradigm": [17, 43], "api": [17, 43], "estim": [17, 23, 43, 49], "common": [17, 26, 33, 43, 52], "techniqu": [17, 21, 43], "imput": [17, 28, 43, 54], "ok": [17, 18], "do": [17, 18, 20, 21, 23, 24, 25, 26, 28, 29, 43, 46, 49, 50, 51, 52, 54, 55], "thing": [17, 29, 55], "eda": [17, 21, 22, 37, 47, 48], "need": [17, 20, 28, 29, 43, 46, 54, 55], "first": 17, "run": 17, "carri": [17, 25, 43, 51], "out": [17, 25, 30, 43, 51, 56], "compact": 17, "syntax": [17, 18, 20], "make_pipelin": 17, "try": [17, 22, 37], "categor": [17, 18, 24, 31, 37, 43, 50, 60], "encod": [17, 18, 25, 29, 31, 42, 43, 44, 51, 55], "occasion": [17, 43], "One": [17, 29, 30, 31, 42, 43, 55, 56], "hot": [17, 25, 29, 31, 42, 43, 51, 55], "oh": [17, 18, 42, 43], "differ": [17, 20, 21, 22, 24, 42, 47, 48, 50], "6": [18, 20, 37, 44, 45, 58], "columntransform": [18, 44], "text": [18, 25, 29, 33, 37, 44, 51, 55, 60], "identifi": [18, 24, 33], "want": [18, 24, 32, 50, 54], "conveni": 18, "make_column_transform": 18, "examin": [18, 22, 28, 34, 38, 48, 54], "set_config": 18, "incorpor": [18, 37, 60], "class_attend": 18, "than": [18, 20, 25, 46, 51], "one": [18, 25, 29, 51, 55], "deal": [18, 21], "unknown": 18, "categori": [18, 60], "case": [18, 19, 27, 53], "where": [18, 32], "onli": [18, 32, 60], "two": [18, 27, 53], "possibl": [18, 22, 25, 26, 29, 51, 52, 55], "california": [18, 19, 58], "mani": [18, 20, 29, 46, 55], "actual": 18, "certain": 18, "bag": [18, 25, 33, 34, 44, 51], "word": [18, 25, 29, 33, 34, 44, 51, 55], "bow": [18, 44], "represent": [18, 29, 30, 34, 44, 55, 56], "extract": [18, 29, 31, 44, 55], "spars": [18, 29, 55], "matric": 18, "onehotencod": 18, "countvector": 18, "Is": [18, 21, 25, 47, 51], "realist": 18, "7": [19, 38, 45, 46, 58], "linear": [19, 22, 24, 38, 45, 50, 51], "exactli": 19, "ridg": [19, 22, 45, 48, 51], "alpha": [19, 22, 45, 48], "coeffici": [19, 24, 38, 45, 50], "intercept": 19, "interpret": [19, 24, 29, 38, 45, 50, 55], "sign": [19, 45], "magnitud": 19, "logist": [19, 21, 30, 45, 51, 56], "intuit": [19, 45], "associ": 19, "weight": [19, 21], "compon": [19, 45], "citi": 19, "raw": 19, "main": [19, 26, 27, 28, 45, 52, 53, 54], "probabl": [19, 20, 45], "predict_proba": [19, 45], "calcul": [19, 45, 58, 59], "sigmoid": [19, 45], "least": 19, "confid": 19, "most": [19, 38], "strength": [19, 23, 49], "optim": [20, 42, 46, 59], "wai": [20, 25, 29, 46, 51, 55], "manual": [20, 46], "autom": [20, 46], "exhaust": [20, 46], "grid": [20, 46], "model_select": [20, 46], "gridsearchcv": [20, 22, 46, 48], "n_job": 20, "__": 20, "rang": 20, "heatmap": 20, "bad": [20, 26, 44, 52], "yield": 20, "result": 20, "random": [20, 23, 24, 30, 46, 49, 50, 56], "n_iter": [20, 46], "pass": 20, "distribut": [20, 29, 34, 55], "advantag": [20, 28, 46, 54], "randomizedsearchcv": [20, 22, 46, 48], "success": [20, 29, 46, 55], "halv": [20, 46], "fancier": [20, 46], "discuss": [20, 21, 29, 35, 37, 39, 44, 55, 58], "hyper": [20, 46], "much": [20, 46], "lower": [20, 46], "cv": [20, 46], "larg": [20, 46], "solv": [20, 46], "9": [21, 47], "metric": [21, 22, 39, 42, 47, 48], "evalu": [21, 27, 28, 32, 42, 53, 54], "binari": 21, "demonstr": [21, 39, 47], "observ": [21, 27, 53], "confus": [21, 47], "matrix": [21, 28, 29, 47, 54, 55], "posit": [21, 38, 47], "neg": [21, 38, 47], "precis": [21, 39, 47], "recal": [21, 47], "f1": [21, 39, 47], "macro": 21, "averag": [21, 23, 27, 28, 29, 34, 39, 49, 53, 54, 55], "interim": [21, 24, 25, 47, 50, 51], "evalut": 21, "multi": [21, 30, 56], "curv": [21, 32, 39, 47], "oper": [21, 47], "decreas": 21, "threshold": 21, "increas": 21, "ap": [21, 47], "few": [21, 27, 47, 53], "pr": [21, 39, 47], "detail": [21, 22, 27, 48, 53], "svc": [21, 46], "receiv": [21, 47], "characterist": [21, 47], "roc": [21, 39, 47], "area": [21, 47], "under": [21, 47], "auc": [21, 47], "look": [21, 26, 39, 52], "onc": 21, "imbal": [21, 22, 23, 24, 47, 48, 49, 50], "address": [21, 47], "handl": [21, 47], "chang": [21, 47], "procedur": [21, 47], "class_weight": [21, 39, 47], "logisticregress": [21, 31, 32, 47], "balanc": [21, 47], "stratifi": [21, 47], "good": [21, 28, 33, 47, 54], "undersampl": 21, "oversampl": 21, "smote": 21, "synthet": 21, "minor": 21, "sampl": [21, 23, 26, 49, 52], "fair": [21, 39], "activ": [21, 24, 25, 26, 29, 35, 39, 50, 51, 52, 55], "group": [21, 26, 35, 39, 52], "paper": [21, 23, 49], "10": [22, 48, 49], "tackl": [22, 48], "separ": [22, 24, 44, 48, 58], "pandas_profil": 22, "tune": [22, 26, 46, 48, 52], "ridgecv": [22, 48], "mean": [22, 26, 27, 29, 48, 52, 53, 55], "squar": [22, 48], "mse": [22, 48], "root": [22, 48], "rmse": [22, 48], "r": [22, 48], "mape": [22, 48], "11": [23, 49], "ensembl": [23, 42, 49], "0": 23, "netflix": [23, 28, 54], "prize": [23, 28, 54], "have": [23, 24, 49, 50], "forest": [23, 24, 49, 50], "randomforestclassifi": [23, 32, 49], "thei": [23, 49], "inject": [23, 49], "construct": [23, 49], "an": [23, 25, 28, 33, 49, 51, 54], "bootstrap": [23, 49], "number": [23, 26, 31, 49, 52], "n_estim": [23, 49], "weak": [23, 49], "gradient": [23, 26, 49], "boost": [23, 49], "xgboost": [23, 49], "lightgbm": [23, 49], "catboost": [23, 49], "should": [23, 28, 49, 54], "i": [23, 49], "kind": [23, 28, 49, 54], "combin": [23, 44, 49], "stack": [23, 49], "effect": [23, 27, 49, 53], "strategi": [23, 30, 49, 56], "12": [24, 50], "transpar": [24, 50], "simplefeatur": [24, 50], "correl": [24, 50], "numer": [24, 25, 50, 51, 60], "show": [24, 50], "explain": [24, 50], "beyond": [24, 28, 50, 54], "feature_importances_": [24, 50], "permutation_import": [24, 50], "kei": [24, 50], "get": [24, 48, 50], "shap": [24, 50], "shaplei": [24, 50], "addit": [24, 50], "explan": [24, 50], "focu": [24, 50], "lgbm": [24, 50], "forc": [24, 50], "global": [24, 28, 50, 54], "depend": [24, 25, 29, 50, 51, 55], "tool": [24, 29, 55], "inform": [24, 31, 50], "13": [25, 51], "engin": [25, 26, 31, 33, 51], "garbag": [25, 51], "measur": [25, 51], "qualiti": [25, 51], "quot": [25, 51], "usual": [25, 51], "best": [25, 51], "mai": [25, 51], "domain": [25, 51], "interact": [25, 51], "demo": [25, 31, 35, 36, 37, 38, 40, 41, 51], "dummi": [25, 36, 37, 59, 60], "further": [25, 31, 51], "improv": [25, 51], "spaci": [25, 29, 34, 51, 55], "project": [25, 28, 33, 51, 54], "recurs": [25, 51], "elimin": [25, 51], "rfe": [25, 51], "forward": [25, 51], "backward": [25, 51], "clearli": [25, 51], "defin": [25, 51, 53, 58], "advic": [25, 28, 54], "14": [26, 40, 42, 52], "cluster": [26, 27, 40, 41, 52, 53], "midterm": [26, 42, 52, 57], "poll": [26, 52], "without": [26, 52], "unlabel": [26, 52], "output": [26, 27, 29, 52, 53, 55], "correct": [26, 52], "applic": [26, 29, 52, 54, 55], "custom": [26, 32, 52], "segment": [26, 29, 52, 55], "initi": [26, 52], "iter": [26, 52], "process": [26, 29, 52, 55], "closest": [26, 52], "center": [26, 52], "stop": [26, 52], "descent": 26, "elbow": [26, 52], "inertia": 26, "silhouett": [26, 52], "intra": [26, 52], "b": [26, 34, 52], "rememb": [26, 52], "15": [27, 41, 53], "failur": [27, 53], "dbscan": [27, 41, 53], "ep": [27, 53], "min_sampl": [27, 53], "illustr": [27, 53], "hierarch": [27, 41, 53], "dendrogram": [27, 53], "flat": [27, 53], "linkag": [27, 53], "complet": [27, 28, 53, 54], "ward": [27, 53], "truncat": [27, 53], "take": [27, 53, 54], "home": [27, 53], "16": [28, 54], "system": [28, 54], "care": [28, 29, 54, 55], "capston": [28, 54], "qxmd": [28, 54], "approach": [28, 30, 31, 32, 54, 56], "formul": [28, 54], "util": [28, 54], "sparsiti": [28, 54], "jester": [28, 54], "7m": [28, 54], "joke": [28, 54], "rate": [28, 54], "stat": [28, 54], "neighbor": 28, "collabor": [28, 54], "surpris": [28, 54], "content": [28, 54], "item": 28, "overal": [28, 29, 54, 55], "pat": [28, 54], "profil": [28, 54], "disadvantag": [28, 54], "hybrid": [28, 54], "cover": [28, 32, 54], "issu": [28, 54], "thought": [28, 54], "my": [28, 54], "17": 29, "natur": [29, 55], "languag": [29, 55], "nlp": [29, 55], "often": [29, 55], "everydai": [29, 55], "new": [29, 55], "hard": [29, 55], "lexic": [29, 55], "ambigu": [29, 55], "referenti": [29, 55], "headlin": [29, 55], "embed": [29, 34, 55], "dot": [29, 55], "cosin": [29, 55], "brainstorm": [29, 55], "repres": [29, 34, 55], "simplest": [29, 55], "vocabulari": [29, 38, 55], "captur": [29, 55], "relationship": [29, 55], "hypothesi": [29, 55], "term": [29, 33, 55], "occurr": [29, 55], "dens": [29, 55], "pre": [29, 30, 55, 56], "word2vec": [29, 55], "vada": 29, "pav": 29, "semant": [29, 55], "syntact": [29, 55], "implicit": [29, 55], "bias": [29, 55], "stereotyp": [29, 55], "topic": [29, 34, 55], "corpu": [29, 55], "food": [29, 55], "magazin": [29, 55], "scientif": [29, 55], "lda": [29, 34, 55], "yale": [29, 55], "law": [29, 55], "journal": [29, 55], "social": [29, 55], "media": [29, 55], "basic": [29, 55], "token": [29, 55], "sentenc": [29, 34, 55], "commonli": [29, 55], "punctuat": [29, 55], "stopword": [29, 55], "lemmat": [29, 55], "stem": [29, 55], "task": [29, 55], "entiti": [29, 55], "pars": [29, 31, 55], "18": [30, 55, 56], "vision": [30, 56], "19": [30, 31, 56], "meta": [30, 56], "rest": [30, 56], "ovr": 30, "ovo": 30, "wrapper": 30, "neural": [30, 56], "network": [30, 56], "deep": [30, 31, 56], "flatten": [30, 56], "transfer": [30, 56], "imagenet": [30, 56], "box": [30, 56], "extractor": [30, 56], "cool": [30, 56], "stuff": [30, 56], "tempor": 31, "posix": 31, "dai": 31, "lag": 31, "forecast": 31, "futur": 31, "retail": 31, "season": 31, "trend": 31, "complic": 31, "exploratori": [31, 35], "analysi": [31, 32, 34, 35, 53], "datetim": 31, "month": 31, "remark": 31, "involv": 31, "unequ": 31, "space": 31, "20": 32, "surviv": 32, "churn": 32, "standard": 32, "censor": 32, "event": 32, "consid": 32, "ye": 32, "assum": 32, "everyon": 32, "right": 32, "now": 32, "might": 32, "answer": 32, "kaplan": 32, "meier": 32, "cox": 32, "proport": 32, "hazard": 32, "appendix": [33, 34], "person": 33, "e": 33, "mail": 33, "behind": 33, "gmail": 33, "prioriti": 33, "inbox": 33, "automat": 33, "convers": 33, "weigh": 33, "tf": 33, "idf": 33, "n": 33, "gram": 33, "asid": 33, "googl": 33, "viewer": 33, "part": 33, "speech": 33, "po": 33, "english": 33, "penn": 33, "treebank": 33, "tag": 33, "bonu": 33, "airlin": 34, "advanc": 34, "gensim": 34, "doc2bow": 34, "assess": 35, "knn": [36, 37, 59], "simpleimput": 37, "ponder": [38, 59], "load": 39, "compar": 39, "clean": 39, "face": 41, "guid": 42, "warmup": 43, "mistak": 44, "methodolog": 44, "togeth": 44, "alreadi": 44, "log": 48, "l2": 51, "penalti": 51, "lasso": 51, "l1": 51, "cell": [52, 53], "tumour": 52, "mutat": 52, "cancer": [52, 53], "genom": 52, "everyth": 52, "after": 52, "gaussian": 52, "mixtur": 52, "high": 52, "level": 52, "hdbscan": 53, "lymphoma": 53, "4th": 54, "year": 54, "biologi": 54, "miss": 54, "modellin": 55, "outsid": 55, "syllabu": 57, "descript": 57, "scheme": 57, "ai": 57, "exam": 57, "academ": 57, "concess": 57, "worksheet": [58, 59, 60], "stump": 58, "hand": 58, "depth": 58, "accuraci": 58, "offer": 58, "playground": [58, 59], "sunni": 58, "alien": 59, "zoo": 59, "adventur": 59, "footstep": 59, "shuffl": 59, "whistl": 59, "paus": 59, "iri": 59, "flower": 59, "passthrough": 60}, "envversion": {"sphinx.domains.c": 2, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 6, "sphinx.domains.index": 1, "sphinx.domains.javascript": 2, "sphinx.domains.math": 2, "sphinx.domains.python": 3, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1, "sphinxcontrib.bibtex": 9, "sphinx": 56}})
\ No newline at end of file
+Search.setIndex({"docnames": ["LICENSE", "README", "attribution", "docs/330_vs_340", "docs/README", "docs/asking_for_help", "docs/git_installation", "docs/grades", "docs/homework_instructions", "docs/python_notes", "docs/resources", "docs/setup", "learning-objectives", "lectures/01_intro", "lectures/02_decision-trees", "lectures/03_ml-fundamentals", "lectures/04_kNNs-SVM-RBF", "lectures/05_preprocessing-pipelines", "lectures/06_column-transformer-text-feats", "lectures/07_linear-models", "lectures/08_hyperparameter-optimization", "lectures/09_classification-metrics", "lectures/10_regression-metrics", "lectures/11_ensembles", "lectures/12_feat-importances", "lectures/13_feature-engineering-selection", "lectures/14_K-Means", "lectures/15_DBSCAN-hierarchical", "lectures/16_recommender-systems", "lectures/17_natural-language-processing", "lectures/18_intro_to_computer-vision", "lectures/19_time-series", "lectures/20_survival-analysis", "lectures/Appendix-A", "lectures/Appendix-B", "lectures/class_demos/03_class-demo", "lectures/class_demos/04_class-demo", "lectures/class_demos/05-06_class-demo", "lectures/class_demos/07_class-demo", "lectures/class_demos/09_class-demo", "lectures/class_demos/14_class-demo", "lectures/class_demos/15_class-demo", "lectures/midterm-review-guiding-questions", "lectures/slides/05_slides", "lectures/slides/06_slides", "lectures/slides/07_slides", "lectures/slides/08_slides", "lectures/slides/09_slides", "lectures/slides/10_slides", "lectures/slides/11_slides", "lectures/slides/12_slides", "lectures/slides/13_slides", "lectures/slides/14_slides", "lectures/slides/15_slides", "lectures/slides/16_slides", "lectures/slides/17_slides", "lectures/slides/18_slides", "syllabus", "worksheets/Worksheet_1/Worksheet_1", "worksheets/Worksheet_2/Worksheet_2", "worksheets/Worksheet_3/Worksheet_3"], "filenames": ["LICENSE.md", "README.md", "attribution.md", "docs/330_vs_340.md", "docs/README.md", "docs/asking_for_help.md", "docs/git_installation.md", "docs/grades.md", "docs/homework_instructions.md", "docs/python_notes.ipynb", "docs/resources.md", "docs/setup.md", "learning-objectives.md", "lectures/01_intro.ipynb", "lectures/02_decision-trees.ipynb", "lectures/03_ml-fundamentals.ipynb", "lectures/04_kNNs-SVM-RBF.ipynb", "lectures/05_preprocessing-pipelines.ipynb", "lectures/06_column-transformer-text-feats.ipynb", "lectures/07_linear-models.ipynb", "lectures/08_hyperparameter-optimization.ipynb", "lectures/09_classification-metrics.ipynb", "lectures/10_regression-metrics.ipynb", "lectures/11_ensembles.ipynb", "lectures/12_feat-importances.ipynb", "lectures/13_feature-engineering-selection.ipynb", "lectures/14_K-Means.ipynb", "lectures/15_DBSCAN-hierarchical.ipynb", "lectures/16_recommender-systems.ipynb", "lectures/17_natural-language-processing.ipynb", "lectures/18_intro_to_computer-vision.ipynb", "lectures/19_time-series.ipynb", "lectures/20_survival-analysis.ipynb", "lectures/Appendix-A.ipynb", "lectures/Appendix-B.ipynb", "lectures/class_demos/03_class-demo.ipynb", "lectures/class_demos/04_class-demo.ipynb", "lectures/class_demos/05-06_class-demo.ipynb", "lectures/class_demos/07_class-demo.ipynb", "lectures/class_demos/09_class-demo.ipynb", "lectures/class_demos/14_class-demo.ipynb", "lectures/class_demos/15_class-demo.ipynb", "lectures/midterm-review-guiding-questions.ipynb", "lectures/slides/05_slides.ipynb", "lectures/slides/06_slides.ipynb", "lectures/slides/07_slides.ipynb", "lectures/slides/08_slides.ipynb", "lectures/slides/09_slides.ipynb", "lectures/slides/10_slides.ipynb", "lectures/slides/11_slides.ipynb", "lectures/slides/12_slides.ipynb", "lectures/slides/13_slides.ipynb", "lectures/slides/14_slides.ipynb", "lectures/slides/15_slides.ipynb", "lectures/slides/16_slides.ipynb", "lectures/slides/17_slides.ipynb", "lectures/slides/18_slides.ipynb", "syllabus.md", "worksheets/Worksheet_1/Worksheet_1.ipynb", "worksheets/Worksheet_2/Worksheet_2.ipynb", "worksheets/Worksheet_3/Worksheet_3.ipynb"], "titles": ["LICENSE", "UBC CPSC 330: Applied Machine Learning (2023W1)", "Attributions", "CPSC 330 vs. CPSC 340", "CPSC 330 Documents", "How to ask for help", "What are git and GitHub?", "CPSC 330 grading policies", "Homework info &amp; submission guidelines", "CPSC 330 Python notes", "Reference material", "Setting up coding environment", "Course Learning Objectives", "Lecture 1: Course Introduction", "Lecture 2: Terminology, Baselines, Decision Trees", "Lecture 3: Machine Learning Fundamentals", "Lecture 4: <span class=\"math notranslate nohighlight\">\\(k\\)</span>-Nearest Neighbours and SVM RBFs", "Lecture 5: Preprocessing and <code class=\"docutils literal notranslate\"><span class=\"pre\">sklearn</span></code> pipelines", "Lecture 6: <code class=\"docutils literal notranslate\"><span class=\"pre\">sklearn</span></code> <code class=\"docutils literal notranslate\"><span class=\"pre\">ColumnTransformer</span></code> and Text Features", "Lecture 7: Linear Models", "Lecture 8: Hyperparameter Optimization and Optimization Bias", "Lecture 9: Classification metrics", "Lecture 10: Regression metrics", "Lecture 11: Ensembles", "Lecture 12: Feature importances and model transparency", "Lecture 13: Feature engineering and feature selection", "Lecture 14: K-Means Clustering", "Lecture 15: More Clustering", "Lecture 16: Recommender Systems", "Lecture 17: Introduction to natural language processing", "Lecture 18: Multi-class classification and introduction to computer vision", "Lecture 19: Time series", "Lecture 20: Survival analysis", "Appendix A", "Appendix-B", "Lecture 3: Class demo", "Lecture 4: Class demo", "Lectures 5 and 6: Class demo", "Lectures 7: Class demo", "Exploring classification metrics", "Lecture 14: Class demo", "Lecture 15: Class demo", "Lecture 14: Midterm review guiding questions", "Lecture 5: Preprocessing and sklearn pipelines", "Announcements", "Announcements", "Lecture 8: Hyperparameter Optimization and Optimization Bias", "Lecture 9: Classification Metrics", "Lecture 10: Regression metrics", "Lecture 11: Ensembles", "Lecture 12: Feature importances and model transparency", "Lecture 13: Feature engineering and feature selection", "Lecture 14: K-Means Clustering", "Lecture 15: More Clustering", "Lecture 16: Recommender Systems", "Lecture 18: Introduction to natural language processing", "Lecture 18: Multi-class classification and introduction to computer vision", "Syllabus", "Worksheet 1: Terminology and decision trees", "Worksheet 2: KNNs and SVMs", "Worksheet 3: Preprocessing"], "terms": {"all": [0, 1, 5, 6, 7, 8, 9, 11, 15, 16, 18, 20, 22, 23, 24, 25, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 54, 55, 56, 57, 58, 59, 60], "cpsc330": [0, 1, 11, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 29, 32, 33, 34, 35, 37, 38, 40, 41, 49, 50, 51, 54, 55, 56, 57, 58, 59, 60], "repositori": [0, 1, 6, 8, 11, 19, 36, 37], "made": [0, 1, 7, 8, 9, 13, 14, 21, 23, 24, 28, 29, 31, 34, 38, 47, 49, 50, 54, 55, 57], "avail": [0, 1, 8, 10, 11, 13, 15, 18, 20, 21, 22, 24, 27, 28, 29, 30, 31, 32, 34, 39, 40, 41, 44, 45, 50, 51, 53, 54, 55, 56, 57, 58, 60], "under": [0, 1, 8, 13, 14, 15, 17, 22, 28, 30, 37, 43, 48, 52, 54, 55, 56], "attribut": [0, 1, 13, 14, 16, 17, 19, 20, 25, 26, 29, 30, 38, 46, 51, 55, 56, 58, 60], "4": [0, 1, 9, 10, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 53, 54, 55, 56, 57, 59], "0": [0, 1, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60], "intern": [0, 1, 14, 28, 30, 31, 32, 56], "cc": [0, 1], "BY": [0, 1], "thi": [0, 1, 2, 3, 5, 6, 7, 8, 11, 12, 14, 15, 16, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 41, 43, 44, 45, 46, 47, 48, 49, 51, 53, 54, 55, 56, 57, 58, 59, 60], "human": [0, 13, 16, 17, 18, 19, 20, 21, 24, 25, 28, 29, 30, 38, 39, 41, 43, 45, 46, 50, 51, 54, 55, 56], "readabl": [0, 9], "summari": 0, "substitut": [0, 59], "you": [0, 1, 5, 6, 7, 8, 9, 11, 24, 32, 33, 34, 35, 36, 37, 39, 40, 41, 42, 43, 44, 45, 47, 48, 50, 52, 56, 57, 58, 59, 60], "ar": [0, 1, 3, 5, 7, 8, 9, 10, 11, 15, 16, 18, 20, 22, 23, 24, 25, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 41, 42, 44, 46, 47, 49, 50, 51, 56, 57, 58, 59], "free": [0, 6, 16, 18, 22, 29, 32, 44, 55], "share": [0, 17, 25, 33, 37, 43, 51, 52, 57], "copi": [0, 8, 9, 11, 14, 23, 24, 26, 28, 30, 31, 32, 49, 50, 54, 56, 57], "redistribut": 0, "ani": [0, 11, 13, 14, 15, 16, 17, 18, 19, 21, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 37, 38, 39, 40, 41, 42, 43, 44, 45, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58], "medium": [0, 16, 32, 37], "format": [0, 1, 14, 16, 18, 21, 27, 29, 31, 32, 34, 37, 38, 41, 47, 48, 51, 53, 55, 57, 58], "adapt": [0, 2, 17, 18, 21, 23, 25, 29, 31, 38, 44, 49, 51, 55, 58], "remix": 0, "transform": [0, 20, 21, 23, 24, 27, 29, 30, 31, 32, 34, 36, 37, 38, 40, 41, 42, 46, 49, 50, 53, 55, 56], "build": [0, 3, 11, 12, 15, 17, 18, 23, 25, 26, 29, 30, 31, 34, 37, 39, 43, 44, 48, 49, 51, 52, 55, 56, 58], "upon": [0, 13, 14, 15, 18, 21, 23, 24, 25, 26, 27, 29, 49, 50, 51, 52, 53, 55], "purpos": [0, 14, 15, 17, 28, 29, 31, 38, 42, 44, 51, 54, 55, 58], "even": [0, 8, 13, 14, 15, 16, 18, 19, 20, 21, 25, 26, 27, 28, 31, 37, 38, 39, 42, 51, 52, 53, 54, 57], "commerci": 0, "The": [0, 3, 6, 8, 9, 12, 13, 14, 16, 17, 18, 21, 22, 24, 27, 29, 30, 31, 32, 34, 36, 37, 38, 43, 44, 46, 47, 48, 50, 53, 55, 56, 57, 58, 60], "licensor": 0, "cannot": [0, 8, 9, 13, 15, 16, 20, 21, 23, 24, 25, 26, 27, 31, 32, 47, 49, 50, 51, 52, 53, 57], "revok": 0, "freedom": [0, 25, 51], "long": [0, 13, 14, 19, 21, 22, 23, 27, 28, 29, 32, 35, 45, 48, 53, 54, 55, 57], "follow": [0, 1, 6, 9, 11, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 28, 29, 30, 31, 33, 34, 37, 38, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 54, 55, 56, 57, 58, 59, 60], "term": [0, 3, 7, 14, 16, 18, 19, 21, 24, 25, 28, 34, 45, 50, 51, 54, 58], "must": [0, 7, 8, 9, 13, 14, 15, 17, 27, 28, 32, 38, 53, 57, 58], "give": [0, 13, 14, 15, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 33, 35, 36, 39, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56], "appropri": [0, 5, 11, 12, 14, 15, 18, 21, 22, 26, 27, 31, 32, 44, 47, 48, 51, 52, 53, 57, 58], "credit": [0, 13, 14, 21, 23, 29, 31, 32, 39, 47, 49, 55], "mention": [0, 5, 13, 19, 32, 45], "your": [0, 1, 3, 5, 7, 8, 9, 11, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 31, 32, 33, 34, 37, 39, 42, 43, 44, 45, 46, 47, 49, 50, 51, 52, 54, 55, 56, 57, 58, 59, 60], "work": [0, 5, 6, 8, 9, 11, 12, 13, 16, 17, 18, 19, 20, 21, 22, 24, 25, 26, 28, 29, 30, 31, 32, 33, 34, 37, 38, 43, 45, 46, 47, 48, 50, 51, 54, 55, 56, 57, 58, 60], "deriv": [0, 14, 19, 21, 39], "from": [0, 1, 2, 3, 5, 6, 7, 8, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57, 58, 59, 60], "copyright": 0, "varada": [0, 1, 2, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 42, 43, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57], "kolhatkar": [0, 1, 2, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 42, 43, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57], "mike": [0, 1, 2, 10, 13, 14], "gelbart": [0, 1, 2, 13, 14, 29, 55], "where": [0, 1, 8, 11, 13, 14, 15, 16, 19, 20, 21, 22, 23, 24, 26, 28, 29, 30, 31, 33, 36, 37, 38, 39, 44, 45, 46, 47, 48, 49, 50, 52, 54, 55, 56, 58, 59], "practic": [0, 7, 10, 12, 15, 17, 21, 25, 29, 30, 51, 55, 56, 57], "link": [0, 5, 6, 8, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 30, 34, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56], "http": [0, 6, 9, 10, 11, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 30, 31, 32, 33, 38, 40, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 56], "com": [0, 6, 9, 10, 11, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 30, 31, 32, 33, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 56], "provid": [0, 1, 6, 8, 11, 12, 14, 15, 18, 19, 20, 21, 22, 24, 25, 26, 27, 28, 29, 33, 36, 42, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 60], "indic": [0, 18, 26, 29, 30, 31, 37, 38, 40, 41, 44, 52, 55, 56, 57, 58, 60], "chang": [0, 6, 8, 9, 11, 14, 15, 16, 17, 20, 22, 23, 24, 26, 27, 28, 30, 31, 32, 34, 43, 46, 50, 51, 52, 53, 54, 56, 58, 59], "were": [0, 7, 13, 18, 19, 21, 22, 28, 30, 31, 32, 37, 47, 48, 55, 56, 57, 59, 60], "mai": [0, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 31, 32, 33, 41, 43, 45, 46, 47, 49, 50, 52, 53, 54, 55, 57], "do": [0, 1, 5, 6, 7, 8, 9, 11, 13, 14, 15, 16, 19, 22, 27, 30, 31, 32, 33, 34, 35, 36, 37, 39, 40, 42, 44, 45, 47, 48, 53, 56, 57, 58, 59, 60], "so": [0, 1, 5, 6, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 37, 38, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60], "reason": [0, 1, 3, 5, 9, 12, 13, 15, 17, 20, 21, 22, 24, 26, 29, 30, 31, 32, 33, 34, 43, 46, 48, 50, 52, 55, 56, 57], "manner": [0, 13, 23, 49], "wai": [0, 3, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 21, 22, 23, 24, 26, 27, 28, 30, 31, 34, 37, 38, 40, 42, 43, 47, 48, 49, 50, 52, 53, 54, 56, 57, 58, 59], "suggest": [0, 13, 14, 28, 32, 54], "endors": 0, "us": [0, 1, 3, 5, 6, 8, 11, 12, 19, 20, 27, 31, 32, 35, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 53, 58, 60], "No": [0, 1, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 27, 28, 31, 32, 35, 37, 38, 39, 40, 41, 43, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 60], "addit": [0, 5, 13, 14, 22, 57], "restrict": [0, 13, 22, 23, 29, 49, 52, 55], "appli": [0, 3, 7, 10, 12, 13, 14, 15, 19, 20, 21, 24, 25, 26, 27, 28, 29, 30, 31, 32, 37, 38, 42, 44, 45, 46, 47, 50, 51, 52, 53, 54, 55, 56, 59, 60], "legal": [0, 29, 55], "technolog": [0, 13, 29, 55], "measur": [0, 13, 14, 15, 16, 21, 22, 24, 26, 27, 28, 29, 31, 32, 33, 47, 48, 50, 52, 53, 54, 55], "other": [0, 1, 5, 6, 7, 11, 13, 14, 15, 17, 18, 19, 20, 21, 23, 27, 30, 33, 35, 36, 37, 38, 39, 40, 45, 46, 47, 48, 49, 50, 53, 56, 57, 58], "anyth": [0, 13, 15, 18, 21, 28, 29, 32, 37, 47, 54, 55], "permit": [0, 17, 21, 39, 57], "With": [0, 13, 14, 16, 17, 18, 19, 20, 22, 24, 25, 26, 27, 30, 32, 36, 43, 45, 46, 50, 51, 52, 53, 56, 58, 59], "understand": [0, 5, 8, 12, 13, 14, 15, 16, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 36, 47, 50, 51, 52, 53, 54, 55, 56, 57], "notic": [0, 13, 18, 19, 21, 22, 25, 33, 37, 48, 51, 59], "have": [0, 1, 5, 7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 51, 52, 53, 54, 55, 56, 57, 58, 59], "compli": 0, "element": [0, 10, 14, 15, 18, 29, 37, 38, 55], "public": [0, 1, 25, 29, 38, 51, 55, 57], "domain": [0, 13, 24, 26, 29, 50, 55], "an": [0, 3, 5, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 26, 27, 29, 30, 31, 32, 34, 36, 38, 40, 41, 42, 43, 44, 45, 46, 47, 48, 50, 52, 53, 55, 56, 57, 58, 59], "applic": [0, 6, 13, 18, 20, 21, 22, 24, 25, 32, 39, 48, 50, 51, 57], "except": [0, 1, 8, 9, 13, 15, 31, 32, 58, 59], "limit": [0, 13, 14, 15, 18, 23, 24, 25, 42, 49, 50, 51, 52], "warranti": 0, "given": [0, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 40, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56], "permiss": [0, 33, 57], "necessari": [0, 8, 14, 20, 46, 58, 59, 60], "intend": [0, 1, 57, 58, 59, 60], "For": [0, 1, 5, 6, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 59], "exampl": [0, 2, 5, 6, 7, 8, 9, 11, 22, 27, 30, 31, 34, 37, 38, 39, 40, 42, 43, 44, 45, 48, 53, 56, 57, 58, 59], "right": [0, 1, 12, 13, 19, 20, 21, 22, 25, 26, 27, 28, 29, 33, 35, 37, 44, 45, 46, 48, 51, 52, 53, 54, 55], "privaci": [0, 12, 26, 52], "moral": [0, 26, 52], "how": [0, 4, 9, 11, 12, 13, 18, 20, 21, 22, 28, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 42, 44, 46, 47, 48, 56, 57, 58, 59], "otherwis": [0, 8, 13, 18, 26], "note": [0, 1, 4, 8, 10, 11, 14, 16, 17, 18, 19, 20, 21, 23, 24, 25, 27, 28, 30, 34, 46, 47, 49, 50, 51, 52, 54, 55, 56, 57, 58, 59], "program": [0, 5, 10, 11, 13, 29, 55, 57], "mit": [0, 1], "c": [0, 9, 11, 13, 14, 15, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 34, 36, 38, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59], "2021": 0, "herebi": 0, "grant": 0, "charg": [0, 24, 32, 50, 51], "person": [0, 1, 5, 7, 13, 21, 25, 26, 28, 29, 31, 32, 38, 47, 51, 54, 55, 57, 58], "obtain": [0, 19, 26, 27, 28, 32, 36, 38, 52, 53, 54, 60], "associ": [0, 13, 15, 16, 21, 22, 24, 25, 26, 29, 30, 31, 32, 38, 45, 48, 50, 51, 52, 55, 56, 58], "document": [0, 1, 8, 13, 14, 15, 18, 21, 22, 23, 24, 25, 30, 31, 32, 33, 39, 44, 48, 49, 51, 56, 57, 60], "file": [0, 1, 5, 6, 8, 9, 11, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 30, 32, 34, 35, 37, 38, 40, 41, 43, 48, 49, 54, 55, 56, 58, 59, 60], "deal": [0, 13, 15, 16, 17, 22, 29, 32, 37, 42, 43, 44, 47, 48, 55, 58], "without": [0, 8, 13, 14, 15, 21, 23, 24, 25, 30, 31, 32, 47, 49, 50, 51, 56, 57], "includ": [0, 3, 5, 6, 7, 8, 9, 11, 12, 13, 14, 17, 18, 21, 22, 24, 25, 26, 27, 29, 30, 31, 32, 36, 42, 43, 44, 47, 48, 51, 53, 55, 56, 57, 58, 60], "modifi": [0, 11, 21, 32, 57], "merg": [0, 6, 11, 27, 53], "publish": [0, 19, 29, 33, 55], "distribut": [0, 11, 15, 21, 24, 25, 27, 33, 37, 47, 50, 51, 52, 53, 57], "sublicens": 0, "sell": [0, 9, 14], "whom": [0, 25, 33, 38, 51, 55], "furnish": 0, "subject": 0, "condit": [0, 13, 14, 18, 25, 29, 32, 35, 51, 55, 58], "abov": [0, 6, 9, 11, 13, 14, 15, 16, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 34, 35, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57, 58, 60], "shall": [0, 29, 55], "substanti": 0, "portion": [0, 15, 17, 20, 22, 24, 38, 43, 46, 48, 50], "THE": [0, 15], "IS": 0, "AS": 0, "OF": 0, "kind": [0, 13, 14, 15, 17, 18, 19, 21, 22, 24, 26, 27, 29, 30, 31, 32, 33, 45, 47, 48, 50, 52, 53, 55, 56], "express": [0, 9, 18, 19, 25, 29, 33, 41, 51, 55], "OR": [0, 9, 22, 48], "impli": 0, "BUT": [0, 9], "NOT": [0, 9, 18, 19, 44, 45], "TO": [0, 29, 55], "merchant": 0, "fit": [0, 13, 15, 16, 18, 19, 20, 21, 22, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 44, 45, 46, 47, 48, 50, 51, 52, 53, 54, 55, 56, 59, 60], "FOR": 0, "A": [0, 1, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25, 28, 30, 34, 36, 37, 38, 40, 41, 42, 43, 44, 45, 46, 48, 49, 50, 51, 54, 56, 59], "particular": [0, 10, 11, 17, 20, 21, 23, 24, 25, 26, 28, 29, 30, 31, 32, 39, 49, 50, 51, 52, 54, 55, 56, 58, 60], "AND": [0, 22, 48], "noninfring": 0, "IN": [0, 15, 19, 45], "NO": 0, "event": [0, 13, 21, 22, 48, 57], "author": [0, 29, 55, 57], "holder": 0, "BE": [0, 29, 55], "liabl": 0, "claim": [0, 20, 21, 38], "damag": [0, 21, 47], "liabil": 0, "whether": [0, 5, 8, 9, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 29, 31, 32, 33, 35, 37, 38, 43, 45, 47, 48, 49, 50, 51, 53, 55, 57, 58, 60], "action": [0, 13, 22, 23, 24, 26, 28, 32, 48, 49, 50, 52, 54], "contract": [0, 32], "tort": 0, "aris": [0, 13, 29, 55], "out": [0, 1, 5, 8, 9, 11, 13, 14, 15, 16, 18, 20, 21, 22, 23, 24, 26, 27, 28, 29, 31, 32, 33, 34, 35, 37, 38, 40, 44, 46, 48, 49, 50, 52, 53, 54, 55, 57, 58, 59], "connect": [0, 13, 14, 27, 28, 38, 53, 54], "WITH": 0, "homepag": 1, "univers": [1, 10, 13, 29, 55], "british": [1, 13, 29, 55], "columbia": [1, 10, 29, 55], "look": [1, 11, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25, 27, 28, 29, 31, 32, 33, 37, 38, 42, 43, 44, 45, 47, 48, 49, 50, 51, 53, 54, 55, 58, 59], "current": [1, 13, 23, 25, 28, 29, 30, 31, 32, 49, 51, 55, 56], "version": [1, 5, 6, 8, 9, 11, 13, 17, 18, 19, 20, 22, 24, 27, 29, 31, 34, 37, 38, 45, 46, 48, 50, 53, 55], "sep": [1, 9, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "dec": 1, "2023": [1, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 41, 42, 43, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56], "andrew": [1, 10, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 31, 32, 43, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57], "roth": [1, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 31, 32, 43, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57], "section": [1, 11, 13, 14, 15, 24, 25, 50, 51, 52, 55, 56, 57], "101": [1, 10, 13, 16, 26, 38, 40, 41, 52, 57], "tue": [1, 31, 57], "thu": [1, 7, 20, 31, 32, 57], "15": [1, 9, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 28, 31, 32, 34, 35, 36, 37, 40, 42, 43, 46, 47, 48, 49, 50, 51, 52, 54, 55, 56], "30": [1, 5, 9, 13, 14, 15, 16, 19, 21, 22, 23, 25, 28, 29, 31, 32, 37, 41, 47, 48, 49, 51, 55, 57], "17": [1, 5, 9, 14, 16, 17, 18, 19, 20, 21, 22, 25, 28, 31, 32, 34, 35, 37, 41, 42, 43, 46, 47, 48, 51, 54, 55], "00": [1, 9, 13, 14, 16, 18, 19, 20, 21, 24, 27, 28, 31, 34, 37, 38, 39, 44, 46, 47, 50, 51, 53, 54, 55, 57], "swing": 1, "space": [1, 13, 16, 19, 20, 25, 26, 27, 29, 34, 43, 45, 46, 51, 52, 53, 55, 57, 59, 60], "121": [1, 13, 17, 18, 19, 20, 23, 25, 31, 35, 40, 46, 49, 57], "102": [1, 13, 21, 22, 28, 37, 47, 48, 57], "11": [1, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 25, 26, 27, 28, 29, 31, 32, 34, 35, 36, 37, 38, 40, 41, 42, 43, 44, 45, 46, 47, 48, 50, 51, 52, 53, 54, 55, 56, 57, 58], "12": [1, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57], "west": [1, 28], "mall": [1, 25, 51], "221": [1, 57], "michel": [1, 13, 57], "pang": [1, 13, 57], "admin": [1, 13, 57], "cs": [1, 6, 10, 11, 13, 18, 41, 49, 54, 55, 56, 57], "ca": [1, 6, 10, 13, 25, 34, 51, 57], "chen": [1, 13, 57], "liu": [1, 13, 57], "chenliu5": [1, 57], "student": [1, 5, 6, 7, 8, 12, 13, 14, 19, 21, 22, 24, 25, 26, 27, 28, 30, 33, 45, 47, 48, 50, 51, 52, 53, 54, 56, 57, 58], "colleen": 1, "rideout": 1, "colleenx": 1, "justic": [1, 13, 24, 50, 55, 57], "sefa": [1, 13, 57], "jsefa": [1, 57], "kaiyun": 1, "gao": 1, "gky0722": 1, "mahsa": [1, 13, 57], "zarei": [1, 13, 57], "mzarei": [1, 57], "chem": [1, 57], "miranda": [1, 13, 57], "chan": [1, 13, 57], "mc835": [1, 57], "sparsh": 1, "trivedi": 1, "sparsh01": 1, "vee": [1, 13, 57], "rajesh": [1, 57], "bahel": [1, 13, 57], "bvedant": [1, 57], "wilson": [1, 13, 57], "tu": [1, 13, 57], "linshuan": [1, 57], "yeojun": [1, 13, 57], "han": [1, 57], "yeojunh": [1, 57], "softwar": [1, 6, 11, 32], "non": [1, 9, 13, 14, 15, 17, 19, 20, 21, 22, 23, 25, 27, 28, 29, 30, 31, 32, 39, 42, 43, 44, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58], "content": [1, 5, 12, 16, 29, 30, 33, 34, 55, 56, 57], "creativ": [1, 55], "common": [1, 9, 12, 13, 14, 15, 16, 18, 20, 21, 22, 23, 24, 25, 27, 28, 29, 30, 31, 32, 34, 35, 38, 46, 47, 48, 49, 51, 53, 54, 55, 56, 60], "noncommerci": 1, "sharealik": 1, "nc": 1, "sa": 1, "see": [1, 5, 7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 34, 37, 38, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57, 58, 59, 60], "more": [1, 3, 6, 7, 8, 9, 11, 12, 13, 15, 20, 23, 24, 26, 29, 30, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 46, 49, 50, 52, 55, 56, 57, 58, 59], "inform": [1, 5, 8, 11, 13, 14, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 32, 33, 34, 36, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56], "calendar": [1, 57], "github": [1, 8, 10, 11, 13, 17, 18, 20, 21, 22, 23, 25, 30, 35, 36, 37, 38, 39, 40, 41, 43, 46, 48, 49, 51, 56], "page": [1, 5, 8, 13, 17, 18, 20, 21, 22, 23, 25, 29, 30, 34, 35, 36, 37, 38, 39, 40, 41, 43, 46, 48, 49, 55, 56], "jupyt": [1, 8, 9, 10, 11, 17, 18, 20, 21, 22, 23, 25, 30, 35, 36, 37, 38, 39, 40, 41, 43, 46, 48, 49, 56, 58, 59], "book": [1, 10, 13, 21, 22, 28, 29, 31, 33, 48, 54, 55], "canva": [1, 13, 17, 43, 57, 58], "find": [1, 9, 13, 14, 17, 20, 22, 23, 24, 27, 30, 37, 38, 40, 41, 46, 48, 49, 50, 51, 53, 57, 59], "class": [1, 5, 6, 8, 9, 11, 14, 15, 16, 17, 18, 19, 25, 26, 28, 31, 32, 39, 43, 45, 51, 52, 54, 55, 58], "record": [1, 14, 32, 57], "via": [1, 11, 13, 21, 25, 34, 51, 57, 58], "panopto": 1, "piazza": [1, 7, 8, 13, 14, 21, 22, 45, 48], "iclick": [1, 28, 54], "cloud": [1, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 30, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 56, 57], "gradescop": [1, 7, 8, 13, 57, 58], "video": [1, 9, 10, 28, 30, 32, 35, 54, 56, 57], "youtub": [1, 13, 28, 29, 54, 55, 57], "channel": [1, 11, 30, 34, 40, 56], "syllabu": [1, 4, 13], "administr": [1, 4], "info": [1, 4, 9, 17, 18, 21, 22, 25, 28, 29, 31, 32, 44, 47, 48, 51, 54, 55], "usual": [1, 11, 13, 14, 15, 16, 17, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 37, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57], "homework": [1, 4, 5, 7, 9, 11, 14, 15, 16, 17, 19, 20, 21, 22, 28, 34, 43, 44, 45, 48, 52, 55, 56, 57, 60], "assign": [1, 5, 7, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 29, 31, 32, 34, 36, 43, 48, 51, 52, 53, 54, 55], "mondai": [1, 15, 16, 28, 31, 44, 48, 54, 55, 56, 57], "next": [1, 11, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 28, 30, 31, 34, 36, 40, 41, 49, 50, 51, 56, 60], "week": [1, 7, 9, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 31, 39, 43, 44, 49, 50, 51, 55], "releas": [1, 8, 13, 14, 15, 16, 20, 38, 44, 47, 55], "tuesdai": [1, 13, 20, 21, 24, 25, 31, 51, 57], "we": [1, 5, 6, 7, 8, 11, 13, 14, 16, 27, 30, 31, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 53, 56, 57, 58, 59], "ll": [1, 7, 8, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 31, 32, 35, 37, 38, 40, 42, 44, 45, 46, 47, 48, 49, 50, 51, 52, 54, 55, 56, 57, 58, 59], "also": [1, 3, 5, 6, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 37, 38, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 59], "add": [1, 8, 9, 11, 17, 18, 21, 22, 23, 24, 25, 26, 27, 29, 31, 32, 33, 48, 49, 51, 53, 55, 58], "If": [1, 5, 6, 7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 38, 39, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59], "inconsist": [1, 13], "assum": [1, 13, 14, 18, 19, 21, 22, 27, 28, 29, 31, 33, 34, 39, 45, 47, 52, 53, 54, 55, 58, 60], "alwai": [1, 13, 14, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 33, 35, 37, 42, 44, 45, 47, 48, 49, 50, 51, 52, 53], "assess": [1, 7, 12, 14, 15, 17, 21, 24, 37, 43, 47, 50, 57], "submit": [1, 9, 15, 55, 57, 58], "hw1": [1, 5, 8, 14, 16, 17, 43], "sept": [1, 13, 14, 15], "59": [1, 9, 16, 20, 22, 28, 31, 32, 34, 41, 48, 54], "pm": [1, 13, 31, 57], "repo": 1, "quiz": [1, 13, 29, 55, 57], "19": [1, 9, 13, 14, 15, 16, 18, 20, 21, 22, 23, 25, 28, 32, 34, 35, 41, 42, 44, 46, 47, 48, 51, 55, 57], "hw2": [1, 8, 14, 15, 16], "18": [1, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 25, 26, 28, 31, 32, 34, 37, 39, 40, 41, 42, 43, 45, 46, 47, 48, 51, 52], "hw3": [1, 8, 16, 20], "oct": [1, 9, 19, 20, 44, 45, 47, 49], "02": [1, 9, 16, 17, 18, 19, 20, 22, 24, 25, 31, 34, 35, 37, 43, 46, 48, 50, 51, 54], "hw4": [1, 20, 21, 22, 47, 48], "10": [1, 5, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60], "midterm": [1, 7, 13, 21, 22, 24, 28, 45, 47, 48, 49, 50, 51, 54, 55, 56], "26": [1, 9, 13, 16, 17, 20, 21, 22, 24, 25, 26, 28, 31, 37, 41, 46, 47, 48, 49, 50, 51, 52, 55], "6": [1, 9, 13, 14, 15, 16, 17, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 38, 39, 40, 41, 42, 43, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 59], "7": [1, 9, 11, 13, 14, 15, 16, 17, 18, 20, 21, 22, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 39, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 59], "20": [1, 5, 9, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 31, 34, 37, 38, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 54, 55, 56, 57, 58, 59], "In": [1, 7, 8, 9, 10, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60], "esb": 1, "1013": 1, "cir": 1, "1250": [1, 17, 18, 28, 43, 54], "hw5": [1, 21, 22, 24, 48, 49, 50, 51], "hw6": [1, 52, 53, 54], "novemb": [1, 28, 31], "13": [1, 9, 13, 14, 15, 16, 17, 18, 20, 21, 22, 24, 27, 28, 29, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 43, 46, 47, 48, 49, 50, 52, 53, 54, 55], "hw7": 1, "hw8": 1, "27": [1, 9, 16, 18, 20, 21, 22, 31, 32, 35, 37, 41, 46, 47, 48, 55], "hw9": 1, "decemb": [1, 31], "final": [1, 7, 8, 13, 15, 17, 23, 25, 34, 35, 38, 43, 49, 51, 58], "exam": [1, 7, 13], "tba": 1, "live": [1, 11, 13, 17, 18, 20, 26, 28, 32, 43, 44, 46, 52, 60], "locat": [1, 9, 13, 18, 25, 26, 28, 29, 31, 36, 51, 52, 54, 55, 57, 59, 60], "can": [1, 5, 7, 8, 11, 13, 14, 16, 18, 19, 20, 21, 22, 27, 28, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 53, 56, 57, 58, 59, 60], "found": [1, 8, 15, 18, 20, 22, 25, 28, 35, 37, 48, 51, 53, 54, 57, 59], "after": [1, 5, 7, 8, 9, 11, 13, 15, 17, 18, 21, 22, 24, 25, 26, 27, 28, 30, 31, 32, 33, 37, 42, 43, 44, 48, 50, 51, 53, 55, 56, 57, 58, 59], "5": [1, 5, 19, 20, 22, 23, 27, 31, 34, 35, 36, 38, 39, 40, 41, 42, 45, 47, 48, 49, 51, 53, 57, 59], "dai": [1, 5, 9, 15, 25, 28, 30, 34, 37, 51, 56, 57], "That": [1, 13, 14, 15, 17, 19, 20, 22, 23, 24, 26, 27, 28, 29, 31, 32, 33, 45, 46, 48, 49, 50, 52, 53, 55], "said": [1, 15, 17, 19, 24, 27, 28, 29, 38, 45, 51, 53, 55], "consid": [1, 8, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 25, 26, 27, 28, 29, 31, 39, 41, 46, 47, 49, 50, 51, 52, 53, 54, 55, 57, 59, 60], "backup": [1, 8], "resourc": [1, 4, 6, 14, 23, 24, 29, 30, 46, 50, 55, 56], "complet": [1, 7, 13, 17, 20, 23, 24, 25, 34, 37, 43, 46, 49, 50, 51, 57, 58, 60], "reli": [1, 15, 25, 27, 31, 51, 53, 59], "get": [1, 5, 6, 7, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 49, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60], "lot": [1, 6, 10, 13, 14, 16, 18, 19, 20, 21, 22, 24, 25, 27, 30, 31, 32, 33, 37, 38, 46, 50, 51, 52, 53, 56, 57], "show": [1, 5, 8, 11, 13, 14, 15, 17, 18, 20, 21, 22, 23, 25, 26, 27, 28, 30, 31, 32, 35, 36, 37, 38, 39, 40, 41, 42, 43, 46, 48, 49, 52, 53, 54, 56, 58, 59], "up": [1, 8, 9, 14, 17, 18, 19, 20, 21, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 37, 38, 42, 44, 45, 46, 47, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59], "run": [1, 5, 6, 8, 9, 11, 13, 15, 16, 18, 20, 21, 22, 24, 25, 26, 27, 28, 29, 30, 33, 38, 40, 41, 46, 48, 50, 51, 52, 53, 54, 55, 56, 58, 59], "semi": [1, 29, 55], "flip": [1, 15, 21, 22, 47, 48], "classroom": [1, 57], "There": [1, 3, 6, 9, 10, 11, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 37, 38, 40, 41, 45, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57], "pre": [1, 11, 13, 23, 25, 26, 33, 36, 40, 49, 51, 52], "watch": [1, 13, 16, 19, 26, 28, 29, 38, 52, 54, 55], "mani": [1, 3, 6, 9, 13, 14, 15, 16, 17, 19, 21, 23, 24, 25, 26, 27, 28, 30, 31, 32, 33, 34, 35, 37, 38, 43, 44, 45, 47, 49, 50, 51, 52, 53, 54, 56, 59], "least": [1, 5, 13, 15, 16, 21, 22, 25, 26, 27, 28, 33, 38, 51, 52, 53, 54, 57, 59], "first": [1, 2, 5, 9, 13, 14, 16, 18, 19, 20, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 37, 38, 39, 44, 46, 49, 50, 51, 52, 53, 54, 55, 56, 59, 60], "half": [1, 7, 13, 14, 19, 25, 27, 45, 51, 53], "post": [1, 5, 7, 8, 9, 13, 14, 17, 21, 22, 29, 31, 43, 48, 52, 53, 54, 55, 57], "below": [1, 6, 9, 11, 13, 14, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 36, 37, 39, 40, 41, 43, 44, 45, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60], "try": [1, 5, 6, 7, 9, 11, 13, 14, 15, 16, 18, 19, 20, 21, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 38, 39, 40, 41, 43, 46, 48, 49, 50, 51, 52, 54, 55, 56, 57, 58, 59], "befor": [1, 5, 11, 14, 15, 16, 18, 19, 22, 23, 26, 27, 28, 29, 30, 31, 32, 37, 38, 40, 43, 45, 48, 52, 53, 54, 55, 56, 57, 58, 59], "correspond": [1, 13, 14, 15, 16, 18, 19, 20, 21, 22, 24, 26, 28, 31, 36, 41, 47, 48, 50, 52, 54, 58], "dure": [1, 9, 13, 14, 16, 18, 19, 20, 23, 24, 25, 28, 37, 42, 45, 46, 49, 50, 51, 54, 55, 57, 59], "summar": [1, 13, 19, 21, 22, 26, 29, 47, 52, 55], "point": [1, 5, 12, 13, 14, 15, 17, 18, 19, 20, 22, 25, 27, 30, 32, 35, 37, 38, 39, 40, 41, 45, 46, 48, 51, 53, 56, 58, 59, 60], "focu": [1, 13, 17, 18, 19, 27, 28, 31, 37, 45, 53, 54, 57, 58], "demo": [1, 15, 16, 17, 23, 26, 43, 49, 52], "worksheet": [1, 13, 14, 16, 44, 57], "q": [1, 28], "develop": [1, 2, 10, 12, 13, 15, 17, 18, 20, 21, 22, 23, 25, 26, 30, 43, 47, 48, 51, 56], "directli": [1, 9, 18, 22, 30, 37, 48, 49, 56], "check": [1, 5, 8, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 31, 32, 33, 34, 35, 38, 45, 48, 51, 52, 53, 55, 57, 58, 59, 60], "them": [1, 3, 5, 8, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 32, 36, 37, 38, 39, 43, 45, 46, 47, 49, 50, 51, 52, 54, 55, 56, 57, 58, 59], "thei": [1, 8, 9, 13, 14, 15, 16, 19, 20, 21, 22, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 38, 39, 45, 46, 47, 50, 51, 52, 53, 54, 55, 56, 58, 59], "might": [1, 7, 8, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 31, 33, 37, 38, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 59], "draft": 1, "form": [1, 13, 18, 21, 25, 27, 28, 29, 38, 44, 51, 53, 54, 55, 57], "onc": [1, 7, 8, 9, 11, 13, 14, 15, 17, 18, 20, 25, 27, 28, 29, 30, 36, 43, 44, 46, 51, 53, 54, 55, 56, 57, 58], "topic": [1, 3, 9, 12, 13, 14, 19, 21, 22, 26, 28, 30, 48, 52, 54, 56, 57], "vs": [1, 4, 8, 18, 19, 20, 31, 32, 33, 35, 36, 44, 59], "340": [1, 4, 14, 23, 25, 30, 31, 32, 41, 49, 51, 56], "imagin": [1, 13, 14, 15, 17, 19, 21, 24, 25, 26, 29, 32, 43, 45, 47, 50, 51], "intro": [1, 30, 52, 56], "1": [1, 9, 10, 24, 31, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 50, 57], "n": [1, 14, 16, 19, 20, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 34, 35, 38, 45, 48, 50, 51, 52, 53, 54, 55, 56, 58, 59], "decis": [1, 3, 7, 15, 17, 20, 21, 23, 25, 30, 38, 42, 43, 46, 49, 51, 56, 59], "tree": [1, 3, 13, 15, 16, 17, 18, 19, 20, 22, 25, 27, 30, 31, 38, 42, 43, 44, 45, 46, 48, 51, 53, 56, 59], "2": [1, 5, 9, 10, 11, 21, 23, 24, 25, 28, 31, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 47, 50, 54, 57], "3": [1, 9, 11, 18, 19, 20, 21, 22, 23, 24, 28, 29, 30, 31, 33, 34, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 50, 54, 55, 56, 57, 59], "less": [1, 6, 7, 13, 16, 18, 19, 20, 21, 22, 23, 24, 25, 27, 28, 29, 32, 33, 34, 38, 39, 43, 46, 48, 49, 50, 51, 53, 54, 55], "depth": [1, 14, 15, 20, 23, 27, 35, 38, 45, 46, 49, 53], "14": [1, 9, 13, 14, 15, 16, 17, 18, 20, 21, 22, 25, 27, 28, 30, 31, 32, 34, 35, 36, 37, 41, 43, 46, 47, 48, 49, 51, 53, 54, 55, 56, 58], "ml": [1, 3, 10, 12, 14, 17, 23, 27, 30, 37, 43, 47, 49, 53, 56], "fundament": [1, 3, 10, 12, 13, 17, 19, 20, 22, 25, 30, 32, 43, 45, 46, 48, 51, 56], "similar": [1, 11, 14, 15, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 33, 36, 45, 46, 47, 48, 49, 51, 52, 53, 54, 58], "k": [1, 8, 12, 15, 19, 21, 22, 23, 25, 29, 30, 32, 34, 36, 38, 40, 41, 43, 45, 48, 49, 51, 55, 56], "nn": [1, 17, 30, 36, 38, 40, 41, 43, 56, 59], "svm": [1, 15, 17, 18, 20, 23, 24, 25, 30, 31, 42, 43, 44, 46, 49, 50, 51, 56, 60], "rbf": [1, 15, 17, 19, 20, 23, 24, 25, 42, 43, 45, 46, 49, 50, 51], "kernel": [1, 11, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 43, 44, 45, 50, 51, 58, 59, 60], "21": [1, 9, 13, 14, 16, 17, 18, 21, 22, 25, 26, 28, 31, 32, 34, 35, 37, 41, 44, 47, 48, 51, 52, 55], "preprocess": [1, 12, 13, 15, 19, 20, 21, 23, 24, 25, 27, 28, 30, 32, 34, 36, 37, 39, 45, 46, 47, 49, 50, 51, 53, 54, 56], "sklearn": [1, 13, 15, 16, 19, 22, 25, 27, 28, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 41, 42, 45, 47, 48, 51, 53, 54, 56, 58, 59, 60], "pipelin": [1, 3, 12, 13, 15, 18, 19, 20, 21, 22, 23, 24, 25, 30, 31, 32, 34, 37, 38, 39, 42, 45, 46, 47, 48, 49, 50, 51, 56, 60], "columntransform": [1, 17, 20, 21, 22, 23, 24, 25, 31, 32, 37, 39, 42, 46, 48, 49, 50, 51], "text": [1, 8, 12, 13, 14, 19, 20, 21, 22, 23, 24, 28, 30, 34, 38, 45, 46, 47, 49, 50, 54, 56, 59], "featur": [1, 12, 15, 21, 23, 27, 29, 32, 35, 36, 38, 39, 40, 46, 49, 52, 53, 55, 57, 59], "28": [1, 9, 16, 17, 18, 19, 20, 21, 22, 25, 26, 31, 38, 41, 46, 47, 48, 49, 51, 52, 55], "linear": [1, 20, 21, 23, 25, 27, 28, 30, 31, 32, 42, 46, 48, 49, 53, 54, 56], "model": [1, 2, 3, 12, 20, 21, 26, 27, 31, 33, 37, 39, 40, 41, 43, 44, 46, 47, 53, 59], "03": [1, 9, 19, 20, 22, 24, 25, 31, 34, 35, 46, 50, 51, 54], "hyperparamet": [1, 15, 21, 28, 29, 30, 35, 38, 44, 47, 54, 55, 56, 58, 59, 60], "optim": [1, 3, 14, 15, 16, 18, 21, 23, 24, 25, 26, 27, 30, 32, 35, 36, 38, 47, 49, 50, 51, 52, 53, 56], "overfit": [1, 12, 16, 19, 22, 23, 25, 30, 34, 35, 38, 45, 48, 49, 51, 56, 59], "valid": [1, 14, 16, 18, 22, 23, 24, 25, 26, 30, 32, 36, 37, 38, 42, 45, 48, 49, 50, 51, 52, 56, 59, 60], "set": [1, 9, 10, 14, 16, 17, 18, 19, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 37, 38, 39, 43, 44, 45, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59], "8": [1, 9, 10, 14, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 39, 40, 41, 42, 43, 44, 45, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 59], "differ": [1, 3, 6, 9, 11, 12, 13, 14, 15, 16, 18, 19, 23, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 37, 40, 43, 44, 45, 46, 49, 51, 52, 53, 54, 55, 56, 58, 59, 60], "05": [1, 9, 16, 17, 20, 21, 22, 27, 28, 31, 32, 37, 39, 46, 48, 53, 54, 55], "evalu": [1, 9, 12, 14, 15, 20, 22, 24, 26, 31, 39, 46, 47, 50, 52, 58, 60], "metric": [1, 12, 16, 18, 23, 24, 25, 26, 27, 28, 29, 30, 32, 37, 41, 49, 50, 51, 52, 53, 54, 55, 56], "classif": [1, 3, 12, 15, 16, 17, 18, 19, 22, 23, 24, 25, 29, 31, 32, 35, 40, 41, 43, 45, 48, 49, 50, 51, 55, 58], "refer": [1, 9, 13, 14, 15, 16, 17, 18, 19, 21, 24, 26, 28, 29, 30, 47, 50, 52, 54, 55, 56, 57, 58, 59, 60], "9": [1, 5, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 41, 42, 43, 44, 45, 46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59], "regress": [1, 3, 12, 13, 17, 18, 24, 25, 31, 32, 35, 38, 39, 43, 46, 47, 50, 58, 59], "move": [1, 8, 19, 24, 25, 28, 38, 45, 50, 51], "thursdai": [1, 21, 22, 24, 48, 57], "ensembl": [1, 12, 22, 24, 25, 27, 28, 31, 32, 48, 50, 51, 53, 54], "interpret": [1, 11, 12, 16, 17, 21, 22, 23, 25, 26, 27, 28, 30, 32, 40, 43, 47, 48, 49, 51, 52, 53, 54, 56], "new": [1, 7, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 25, 26, 27, 28, 30, 31, 32, 36, 37, 38, 43, 46, 49, 50, 51, 52, 53, 54, 56], "engin": [1, 10, 12, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 28, 29, 35, 38, 42, 44, 48, 54, 55, 60], "24": [1, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 36, 37, 40, 41, 42, 43, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56], "select": [1, 6, 7, 11, 12, 15, 16, 17, 18, 19, 20, 21, 22, 23, 30, 31, 33, 43, 44, 45, 46, 47, 48, 49, 56], "none": [1, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 28, 29, 31, 32, 35, 38, 40, 41, 43, 45, 46, 47, 48, 49, 51, 53, 55, 58, 59, 60], "31": [1, 9, 13, 16, 17, 18, 19, 21, 22, 24, 25, 26, 31, 35, 39, 40, 41, 43, 47, 48, 49, 50, 51, 52, 55], "cluster": [1, 3, 12, 29, 31, 55], "nov": [1, 31, 54, 56], "07": [1, 9, 20, 22, 25, 31, 37, 46, 48, 51], "simpl": [1, 14, 16, 17, 21, 22, 23, 24, 27, 28, 29, 31, 33, 34, 38, 39, 42, 48, 49, 50, 53, 54, 55, 60], "recommend": [1, 3, 9, 11, 12, 15, 16, 20, 21, 26, 29, 30, 38, 46, 52, 55, 56, 57], "system": [1, 3, 5, 6, 7, 11, 12, 13, 15, 16, 18, 21, 24, 26, 29, 31, 39, 50, 52, 55], "09": [1, 9, 15, 18, 20, 22, 28, 31, 39, 46, 48], "data": [1, 3, 6, 8, 9, 10, 11, 12, 27, 32, 33, 34, 36, 38, 40, 41, 42, 43, 45, 47, 57, 59, 60], "embed": [1, 12, 18, 30, 56], "16": [1, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 25, 27, 31, 32, 35, 41, 42, 44, 46, 47, 48, 49, 51, 53, 55, 58], "break": [1, 20, 21, 26, 31, 34, 37, 38, 42, 43, 47, 52, 59], "neural": [1, 12, 25, 31, 34, 51], "network": [1, 12, 18, 23, 25, 26, 28, 31, 33, 34, 40, 44, 49, 51, 52, 54], "comput": [1, 8, 9, 10, 11, 18, 20, 21, 23, 24, 25, 26, 27, 29, 31, 34, 36, 40, 41, 42, 44, 46, 47, 50, 51, 52, 53, 55, 59, 60], "vision": [1, 13, 40], "time": [1, 2, 3, 5, 9, 12, 14, 15, 16, 17, 19, 20, 21, 22, 23, 24, 25, 27, 28, 29, 30, 33, 34, 37, 38, 39, 40, 42, 43, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 59, 60], "seri": [1, 2, 3, 12, 15, 17, 18, 21, 25, 30, 32, 51, 55, 56], "option": [1, 8, 9, 13, 14, 18, 22, 24, 29, 32, 35, 38, 40, 41, 47, 48, 50, 55, 57, 60], "humour": 1, "problem": [1, 5, 7, 12, 13, 18, 19, 21, 22, 23, 24, 26, 27, 30, 32, 34, 35, 37, 38, 42, 43, 45, 47, 48, 49, 50, 52, 53, 56, 57, 58], "timezon": 1, "23": [1, 9, 11, 16, 17, 18, 19, 20, 21, 22, 25, 28, 31, 35, 37, 39, 40, 41, 43, 45, 46, 47, 48, 51, 54, 55], "surviv": [1, 3, 12], "analysi": [1, 3, 10, 12, 13, 14, 21, 22, 26, 27, 29, 52, 55], "highli": [1, 11, 17, 24, 28, 38, 43, 50, 54], "call": [1, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60], "bullshit": [1, 32], "censor": [1, 12], "commun": [1, 3, 11, 12, 13, 18, 20, 22, 46, 48, 55, 57], "bs": [1, 22, 48], "chapter": 1, "short": [1, 15, 20, 23, 46, 57], "47": [1, 9, 13, 14, 15, 16, 17, 19, 20, 22, 25, 28, 35, 38, 46, 48, 51], "min": [1, 19, 22, 27, 31, 35, 37, 41, 45, 47, 48, 53, 58, 59], "total": [1, 9, 13, 14, 17, 18, 21, 22, 23, 25, 28, 29, 31, 32, 44, 47, 48, 49, 51, 54, 55, 58], "read": [1, 5, 8, 13, 16, 17, 18, 21, 22, 23, 24, 29, 31, 33, 36, 38, 48, 49, 51, 55, 57, 60], "graph": [1, 30, 36, 40, 41, 56], "becaus": [1, 9, 11, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 36, 38, 39, 40, 41, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57], "i": [1, 6, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 36, 37, 38, 40, 41, 43, 44, 45, 46, 47, 48, 50, 51, 52, 53, 54, 55, 56, 57, 58], "t": [1, 5, 6, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59], "sabrina": 1, "ethic": [1, 12, 13], "50": [1, 9, 13, 16, 17, 18, 21, 22, 23, 25, 27, 28, 29, 30, 31, 32, 34, 35, 37, 39, 40, 44, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 60], "scienc": [1, 3, 10, 11, 12, 13, 18, 26, 31, 42, 44, 52], "fun": [1, 13, 21, 29, 30, 55, 56], "llm": 1, "deploy": [1, 2, 12, 24, 31, 50], "conclus": 1, "pleas": [1, 5, 8, 13, 14, 17, 18, 20, 21, 22, 23, 25, 28, 29, 30, 35, 36, 37, 38, 39, 40, 41, 43, 45, 46, 47, 48, 49, 54, 55, 56, 57, 58, 59, 60], "campu": [1, 25, 51, 57], "rule": [1, 9, 13, 14, 16, 19, 21, 23, 29, 37, 38, 39, 42, 45, 55, 57, 59], "mask": [1, 43, 46, 57], "go": [1, 6, 8, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 28, 29, 30, 31, 32, 34, 36, 38, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 53, 54, 55, 56, 57, 58, 59], "longer": [1, 20, 21, 30, 32, 46, 47, 56, 57], "requir": [1, 6, 8, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 43, 44, 46, 47, 49, 50, 51, 52, 53, 55, 56, 57, 58, 59, 60], "faculti": [1, 13, 57], "staff": [1, 7, 57], "wear": [1, 13, 57], "medic": [1, 13, 21, 26, 47, 52, 57], "continu": [1, 18, 20, 22, 23, 26, 31, 37, 46, 48, 49, 57, 58], "worn": [1, 57], "indoor": [1, 57], "health": [1, 28, 29, 54, 55, 57], "ill": [1, 57], "believ": [1, 8, 13, 20, 24, 31, 35, 46, 50, 57, 59], "symptom": [1, 57], "been": [1, 5, 7, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 43, 44, 45, 46, 47, 48, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60], "expos": [1, 38, 57], "sar": [1, 57], "cov": [1, 52, 57], "thrive": [1, 57], "self": [1, 9, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 32, 34, 35, 37, 38, 40, 41, 48, 57, 60], "tool": [1, 9, 12, 18, 19, 20, 21, 22, 27, 28, 31, 32, 38, 42, 46, 47, 48, 50, 53, 57, 58, 59, 60], "guidanc": [1, 24, 50, 57], "download": [1, 6, 8, 11, 13, 14, 17, 19, 22, 24, 25, 29, 30, 33, 34, 35, 48, 50, 51, 54, 55, 56, 57], "bc": [1, 13, 57], "support": [1, 11, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 43, 44, 47, 48, 49, 50, 51, 53, 55, 57, 58, 59, 60], "app": [1, 13, 14, 57], "io": [1, 10, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 30, 32, 35, 38, 40, 48, 51, 56, 57, 60], "android": [1, 57], "devic": [1, 30, 36, 40, 41, 56, 57], "instruct": [1, 4, 5, 6, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 57, 59, 60], "advic": [1, 15, 51, 57], "stai": [1, 13, 21, 32, 57], "home": [1, 14, 19, 21, 28, 34, 37, 51, 55, 57, 59], "recent": [1, 9, 11, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 29, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 43, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60], "test": [1, 8, 9, 11, 13, 14, 16, 17, 18, 19, 21, 22, 23, 24, 27, 28, 30, 32, 34, 37, 38, 41, 42, 43, 44, 45, 47, 48, 49, 50, 53, 54, 56, 57, 58, 59], "posit": [1, 13, 14, 15, 16, 17, 18, 19, 22, 23, 24, 25, 28, 29, 31, 39, 45, 48, 49, 50, 51, 55, 57], "quarantin": [1, 57], "websit": [1, 5, 11, 55, 57], "should": [1, 6, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 21, 24, 25, 26, 29, 30, 31, 32, 35, 37, 45, 50, 51, 52, 55, 56, 57, 58, 59, 60], "isol": [1, 11, 21, 22, 24, 48, 50, 57], "monitor": [1, 14, 29, 55, 57], "precaut": [1, 57], "help": [1, 4, 8, 11, 13, 15, 17, 18, 20, 21, 24, 26, 27, 28, 31, 32, 37, 46, 47, 50, 52, 53, 54, 57, 58, 59, 60], "reduc": [1, 8, 9, 13, 16, 20, 21, 22, 23, 24, 25, 28, 29, 30, 34, 46, 49, 50, 51, 54, 55, 56, 57], "risk": [1, 13, 21, 25, 51, 57], "keep": [1, 15, 16, 17, 18, 21, 23, 24, 25, 28, 29, 32, 35, 38, 47, 49, 50, 51, 52, 54, 55, 57, 59, 60], "everyon": [1, 7, 13, 33, 57], "safer": [1, 57], "mark": [1, 7, 8, 13, 20, 21, 27, 46, 57], "scheme": 1, "flexibl": [1, 13, 25, 29, 30, 34, 51, 52, 56, 57, 58], "priorit": [1, 25, 51, 57], "still": [1, 5, 11, 13, 15, 20, 21, 22, 23, 25, 26, 28, 31, 32, 34, 38, 39, 46, 48, 49, 51, 52, 57], "abl": [1, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 31, 34, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57], "succe": [1, 13, 25, 51, 57], "onlin": [1, 2, 4, 6, 8, 11, 14, 29, 38, 55, 57], "done": [1, 6, 11, 13, 15, 18, 20, 21, 30, 31, 38, 44, 54, 56, 57, 58], "hand": [1, 5, 10, 12, 13, 21, 28, 37, 41, 57], "held": [1, 57], "But": [1, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 37, 39, 40, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 59, 60], "need": [1, 6, 8, 9, 11, 13, 14, 16, 18, 21, 22, 23, 24, 25, 26, 27, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 47, 48, 49, 50, 51, 52, 53, 57, 58, 59], "present": [1, 8, 15, 16, 21, 28, 29, 31, 36, 38, 51, 54, 55, 57], "write": [1, 5, 8, 12, 13, 15, 20, 24, 25, 26, 29, 39, 51, 52, 55, 57, 59, 60], "unless": [1, 8, 13, 30, 33, 38, 56, 57], "legitim": [1, 57], "most": [1, 8, 9, 11, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 33, 34, 35, 37, 39, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60], "activ": [1, 5, 11, 13, 20, 34, 57, 58], "few": [1, 9, 13, 19, 22, 23, 25, 28, 30, 31, 37, 38, 48, 49, 51, 54, 55, 56, 57, 59], "offic": [1, 5, 11, 13, 16, 57], "hour": [1, 5, 11, 13, 16, 21, 23, 24, 25, 28, 31, 39, 49, 50, 51, 54, 57, 58], "which": [1, 5, 7, 8, 9, 11, 15, 16, 17, 18, 19, 20, 22, 24, 25, 28, 29, 30, 31, 32, 33, 35, 36, 37, 38, 39, 43, 44, 45, 46, 48, 50, 51, 54, 55, 56, 57, 58, 59], "s": [1, 5, 6, 8, 9, 10, 11, 14, 19, 20, 23, 25, 26, 27, 29, 30, 32, 33, 35, 36, 38, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 56, 57, 58, 59, 60], "grei": 1, "tradit": [1, 13, 28, 30, 32, 54, 56], "ancestr": 1, "unced": 1, "territori": [1, 13], "xwm\u0259\u03b8kw\u0259y": 1, "\u0259m": 1, "musqueam": 1, "pepl": 1, "situat": [1, 7, 13, 21, 23, 26, 30, 32, 49, 52, 56, 57], "ha": [1, 2, 3, 6, 7, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60], "place": [1, 6, 31, 38], "peopl": [1, 5, 13, 14, 15, 17, 19, 21, 23, 24, 25, 28, 29, 30, 31, 32, 38, 39, 41, 51, 54, 55, 56], "who": [1, 5, 6, 7, 13, 18, 21, 25, 26, 28, 31, 32, 33, 38, 51, 53, 55, 58], "millennia": 1, "pass": [1, 9, 13, 14, 15, 17, 18, 19, 21, 22, 23, 24, 25, 26, 29, 30, 33, 34, 37, 40, 44, 45, 48, 49, 50, 51, 52, 55, 56, 58, 60], "cultur": [1, 30, 56], "histori": [1, 13, 19, 28, 31, 45, 54], "one": [1, 7, 9, 10, 11, 13, 14, 15, 16, 17, 19, 20, 21, 22, 23, 24, 26, 27, 28, 30, 31, 32, 33, 35, 36, 37, 39, 42, 43, 44, 45, 46, 47, 49, 50, 52, 53, 54, 56, 57, 58, 59], "gener": [1, 8, 9, 10, 13, 14, 17, 18, 20, 21, 22, 24, 27, 29, 30, 31, 32, 38, 39, 43, 46, 47, 50, 52, 53, 55, 56, 57, 59], "site": [1, 6, 9, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 32, 34, 35, 37, 38, 40, 41, 48, 51, 58, 59, 60], "It": [1, 3, 5, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 36, 37, 38, 41, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 59], "recognit": [1, 13, 14, 16, 21, 29, 33, 55], "our": [1, 6, 7, 9, 11, 13, 14, 16, 18, 19, 20, 21, 22, 23, 26, 27, 28, 29, 30, 31, 33, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 52, 53, 54, 55, 56, 58, 59, 60], "relationship": [1, 12, 21, 23, 24, 25, 28, 31, 38, 39, 49, 50, 51], "doe": [1, 6, 9, 11, 13, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 28, 29, 31, 32, 35, 37, 38, 42, 43, 44, 46, 48, 49, 50, 51, 54, 55, 58, 59, 60], "appear": [1, 3, 8, 14, 18, 23, 29, 33, 49, 55, 60], "just": [1, 5, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 31, 32, 37, 38, 45, 46, 47, 48, 49, 50, 51, 52, 54, 55, 56, 59], "formal": 1, "take": [1, 3, 5, 6, 7, 11, 13, 14, 15, 16, 17, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 31, 32, 34, 37, 45, 46, 47, 48, 49, 50, 51, 52, 55, 56, 58, 59], "moment": [1, 13, 21, 28, 54, 55, 56], "appreci": [1, 12, 38], "mean": [1, 6, 7, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 25, 28, 30, 31, 32, 34, 35, 36, 37, 38, 40, 41, 43, 44, 46, 47, 49, 50, 51, 54, 56, 59, 60], "behind": [1, 12, 19, 45], "word": [1, 12, 13, 19, 20, 21, 26, 27, 28, 30, 32, 35, 37, 38, 42, 45, 52, 53, 54, 56, 58, 60], "recogn": [1, 12, 15, 27, 31, 53], "tradition": 1, "occupi": 1, "nation": 1, "part": [1, 5, 10, 11, 13, 17, 18, 19, 20, 21, 23, 24, 25, 27, 29, 31, 34, 46, 47, 49, 50, 51, 53, 55], "countri": [1, 13, 15, 16, 18, 19, 21, 23, 24, 29, 39, 45, 49, 50, 55], "down": [1, 13, 15, 21, 24, 32, 37, 47, 50, 55], "wa": [1, 2, 5, 6, 11, 13, 14, 15, 16, 17, 19, 20, 21, 23, 24, 25, 26, 28, 29, 30, 32, 33, 37, 38, 43, 49, 50, 51, 52, 54, 55, 56, 58, 59, 60], "turn": [1, 5, 13, 15, 29, 30, 32, 36, 38, 40, 41, 55, 56], "over": [1, 13, 15, 20, 22, 24, 28, 29, 31, 32, 33, 34, 38, 42, 46, 48, 50, 54, 55, 57], "crown": 1, "govern": [1, 29, 34, 55], "treati": 1, "agreement": [1, 32], "As": [1, 5, 13, 15, 18, 20, 22, 23, 24, 30, 31, 32, 33, 38, 44, 45, 48, 49, 50, 59], "begin": [1, 13, 14, 19, 25, 28, 29, 31, 32, 37, 45, 51, 54, 55, 60], "journei": [1, 27, 53], "some": [1, 2, 5, 7, 8, 9, 11, 13, 15, 16, 17, 18, 19, 22, 24, 26, 27, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 41, 43, 47, 48, 50, 52, 53, 56, 57, 58, 59], "about": [1, 3, 5, 8, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 27, 30, 31, 32, 33, 34, 35, 37, 38, 40, 42, 45, 46, 47, 48, 49, 50, 53, 56, 57, 58, 59], "honour": 1, "its": [1, 9, 12, 13, 15, 16, 18, 19, 21, 24, 25, 26, 27, 29, 30, 31, 32, 36, 37, 38, 45, 47, 50, 51, 52, 53, 55, 56, 58, 60], "origin": [1, 9, 13, 17, 18, 21, 23, 24, 25, 26, 28, 29, 30, 31, 32, 43, 44, 49, 50, 51, 54, 55, 56], "inhabit": [1, 13], "cours": [2, 3, 5, 6, 7, 8, 11, 14, 15, 16, 18, 19, 21, 22, 23, 24, 25, 26, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 40, 41, 45, 47, 48, 49, 50, 51, 52, 55, 56, 58], "design": [2, 13, 14, 27, 28, 30, 53, 54, 56], "taught": [2, 18, 29, 55, 57], "spring": 2, "2020": [2, 25, 51], "further": [2, 21, 23, 26, 30, 32, 33, 35, 39, 52, 55, 56], "materi": [2, 9, 11, 13, 14, 15, 16, 29, 32, 55, 57], "exercis": [2, 10, 13], "come": [2, 11, 13, 14, 17, 18, 21, 25, 28, 29, 30, 31, 32, 38, 47, 51, 54, 55, 56, 58, 59], "introduct": [2, 10, 12, 31, 32, 35], "machin": [2, 3, 10, 11, 12, 17, 18, 20, 22, 23, 24, 25, 28, 29, 30, 31, 33, 34, 37, 42, 43, 44, 46, 47, 48, 49, 50, 51, 54, 55, 56, 57, 58, 59], "learn": [2, 3, 10, 11, 34, 37, 40, 42, 57, 58, 59], "haylei": [2, 14], "boyc": [2, 14], "sincer": 2, "thank": [2, 28, 59], "toma": 2, "beuzen": 2, "contribut": [2, 16, 19, 24, 30, 50, 52, 56, 57], "close": [3, 13, 15, 19, 20, 21, 25, 26, 27, 29, 31, 41, 45, 46, 47, 51, 53, 55, 57, 59], "relat": [3, 7, 13, 19, 21, 22, 23, 24, 25, 26, 28, 31, 32, 33, 45, 48, 49, 50, 51, 52, 54, 57], "field": [3, 5, 13, 18, 29, 30, 31, 55, 56], "make": [3, 5, 6, 7, 8, 11, 12, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 38, 39, 42, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60], "predict": [3, 12, 15, 16, 17, 20, 21, 22, 25, 26, 27, 31, 34, 35, 37, 38, 39, 42, 43, 44, 46, 47, 48, 51, 52, 53, 56, 59, 60], "produc": [3, 8, 13, 22, 24, 27, 37, 48, 49, 50, 53], "insight": [3, 12, 16, 21, 24, 26, 50, 52], "overlap": [3, 15, 26, 52], "between": [3, 9, 11, 12, 13, 15, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 30, 31, 32, 33, 35, 37, 38, 40, 41, 42, 45, 47, 49, 50, 51, 52, 53, 54, 56, 59], "howev": [3, 9, 13, 17, 18, 21, 22, 24, 26, 30, 31, 32, 36, 39, 43, 50, 52, 57, 58, 59, 60], "wherea": [3, 14, 19, 20, 22, 24, 27, 37, 45, 48, 50, 53], "involv": [3, 5, 13, 20, 22, 23, 27, 29, 30, 46, 48, 49, 53, 55, 56], "implement": [3, 5, 13, 17, 21, 22, 23, 25, 26, 27, 28, 29, 30, 32, 43, 49, 51, 53, 54, 55], "algorithm": [3, 12, 13, 15, 17, 18, 21, 22, 23, 24, 28, 29, 30, 34, 39, 43, 44, 48, 49, 50, 54, 55, 56, 59], "scratch": [3, 30, 56], "broader": [3, 23, 29, 49, 55], "like": [3, 5, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 37, 38, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60], "clean": [3, 27, 35, 37, 38, 53, 57], "result": [3, 8, 9, 11, 12, 13, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 30, 31, 32, 37, 38, 43, 45, 46, 48, 49, 50, 51, 52, 53, 56, 57, 58, 59], "goe": [3, 13, 15, 16, 18, 21, 23, 24, 27, 28, 30, 44, 50, 53, 54, 56], "deeper": [3, 13, 20, 21, 22], "mathemat": [3, 18, 23, 42, 44, 49], "numer": [3, 14, 17, 18, 19, 21, 22, 23, 28, 29, 31, 32, 36, 37, 43, 44, 48, 49, 54, 55], "consider": [3, 12, 21, 23, 26, 28, 49, 52, 54], "underli": [3, 24, 25, 26, 50, 51, 52], "prerequisit": [3, 32, 57], "especi": [3, 13, 14, 16, 20, 21, 23, 31, 38, 47], "math": [3, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 51, 52, 54, 58, 59, 60], "best": [3, 8, 13, 14, 15, 16, 20, 21, 22, 23, 24, 26, 27, 28, 35, 36, 38, 39, 46, 47, 48, 49, 50, 52, 53, 54], "choic": [3, 16, 20, 22, 23, 24, 25, 26, 27, 28, 46, 49, 50, 51, 52, 53, 54], "depend": [3, 9, 11, 13, 14, 15, 16, 18, 20, 21, 22, 23, 26, 27, 31, 32, 38, 45, 46, 48, 49, 52, 53], "interest": [3, 13, 15, 20, 21, 22, 23, 24, 25, 27, 28, 29, 30, 31, 32, 34, 37, 38, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56], "goal": [3, 12, 16, 17, 20, 21, 25, 26, 27, 28, 43, 46, 47, 51, 52, 54, 58], "perfectli": 3, "both": [3, 7, 13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 31, 32, 37, 38, 39, 43, 45, 46, 48, 49, 50, 51, 52, 54, 55, 56, 57, 58, 59, 60], "onli": [3, 5, 9, 11, 13, 14, 15, 16, 17, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 46, 47, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59], "natur": [3, 13, 18, 21, 23, 25, 30, 37, 38, 51, 56, 57], "languag": [3, 10, 13, 17, 18, 25, 28, 30, 33, 34, 43, 51, 54, 56], "process": [3, 6, 12, 13, 14, 17, 18, 20, 25, 27, 30, 33, 46, 51, 53, 56, 58, 59], "probabilist": [3, 52, 55], "loss": [3, 21, 22, 23, 24, 32, 39, 48, 49, 50], "function": [3, 13, 14, 15, 16, 18, 20, 21, 23, 24, 25, 28, 30, 31, 32, 33, 34, 36, 49, 50, 51, 52, 54, 55, 56, 58, 59], "major": [3, 13, 15, 16, 17, 18, 29, 42, 44, 55, 59], "dimension": [3, 9, 19, 20, 21, 23, 25, 26, 29, 34, 36, 43, 45, 46, 49, 51, 52, 55], "reduct": [3, 21, 23, 25, 26, 49, 51, 52], "typic": [3, 13, 14, 16, 17, 19, 20, 21, 22, 23, 26, 31, 45, 47, 48, 49, 52], "veri": [3, 5, 6, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 37, 38, 40, 43, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58], "basic": [3, 9, 13, 14, 20, 25, 28, 32, 51, 54, 60], "method": [3, 12, 14, 16, 17, 19, 21, 23, 24, 27, 28, 29, 30, 31, 32, 34, 35, 36, 38, 43, 45, 47, 49, 50, 53, 54, 55, 56, 58, 59], "knn": [3, 15, 16, 17, 18, 19, 24, 25, 28, 30, 42, 43, 44, 45, 50, 51, 54, 56], "etc": [3, 8, 9, 14, 25, 28, 30, 31, 32, 41, 50, 51, 54, 55, 56, 57], "deep": [3, 10, 12, 13, 20, 24, 25, 29, 32, 34, 46, 50, 51, 55], "submiss": [4, 15, 16, 55, 58], "grade": [4, 8, 15, 17, 18, 20, 35, 42, 43, 44, 46], "polici": [4, 5, 8, 13, 57], "environ": [4, 6, 9, 13, 17, 18, 20, 21, 22, 23, 24, 25, 29, 30, 33, 34, 35, 36, 37, 38, 39, 40, 41, 43, 46, 48, 49, 50, 51, 55, 56, 58, 59], "setup": [4, 8, 11, 13], "git": [4, 8, 9, 13], "ask": [4, 8, 11, 13, 14, 15, 16, 18, 21, 25, 26, 28, 29, 32, 47, 51, 54, 55, 58], "python": [4, 5, 12, 20, 22, 25, 28, 29, 30, 31, 32, 34, 51, 56, 57], "textbook": [4, 10, 55], "well": [5, 6, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 30, 31, 32, 38, 43, 46, 47, 48, 49, 50, 52, 53, 54, 56, 57], "asid": [5, 13, 15, 23, 38, 49], "standard": [5, 7, 15, 17, 20, 23, 24, 25, 39, 43, 46, 49, 50, 51, 59], "ubc": [5, 6, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 42, 43, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56], "here": [5, 6, 8, 9, 10, 11, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 37, 38, 40, 41, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 60], "re": [5, 9, 13, 14, 15, 18, 20, 21, 22, 23, 24, 26, 28, 29, 30, 31, 32, 34, 38, 48, 49, 50, 52, 54, 55, 56, 58], "expect": [5, 8, 9, 13, 15, 16, 17, 18, 19, 20, 21, 22, 24, 25, 26, 27, 28, 30, 31, 32, 34, 36, 38, 45, 46, 47, 48, 50, 51, 52, 53, 54, 56, 58, 59], "platform": 5, "when": [5, 7, 8, 11, 13, 14, 15, 16, 18, 19, 21, 22, 23, 24, 25, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37, 38, 42, 43, 44, 45, 47, 48, 49, 50, 51, 53, 54, 55, 56, 57, 58, 60], "offens": [5, 28, 54], "disrespect": 5, "quick": [5, 13, 29, 55, 59], "search": [5, 6, 11, 22, 28, 48, 54, 59], "sure": [5, 8, 9, 11, 13, 15, 18, 21, 22, 23, 24, 27, 31, 39, 49, 50, 51, 55, 56, 58, 59], "hasn": [5, 13, 28, 54, 55], "alreadi": [5, 9, 11, 13, 21, 22, 24, 25, 26, 28, 29, 31, 32, 48, 50, 51, 52, 54, 55], "answer": [5, 7, 8, 13, 14, 15, 20, 21, 23, 26, 28, 29, 30, 31, 46, 49, 52, 54, 55, 56, 57, 58, 59, 60], "filter": [5, 12, 13, 15, 26, 52], "tag": [5, 25, 29, 34, 51, 55], "keyword": [5, 14, 20, 25, 51], "amount": [5, 13, 15, 19, 20, 21, 22, 24, 26, 28, 30, 31, 32, 39, 45, 46, 47, 48, 50, 52, 54, 56], "thought": [5, 16, 24, 26, 32, 38], "effort": [5, 11, 13, 20, 25, 26, 30, 46, 51, 56, 57], "don": [5, 11, 13, 15, 18, 20, 21, 23, 24, 25, 26, 27, 28, 30, 31, 32, 35, 36, 37, 38, 44, 46, 47, 49, 50, 51, 53, 54, 55, 56], "whose": [5, 13, 38], "googl": [5, 13, 14, 15, 23, 24, 25, 26, 28, 29, 39, 51, 52, 54, 55], "These": [5, 11, 13, 14, 15, 16, 19, 21, 22, 23, 24, 25, 26, 31, 45, 48, 49, 50, 51, 52], "awai": [5, 7, 13, 14, 19, 26, 28, 30, 32, 33, 38, 52, 54, 56], "being": [5, 13, 15, 17, 21, 22, 23, 24, 26, 27, 28, 29, 32, 43, 47, 50, 52, 53, 54, 55], "stuck": [5, 9], "second": [5, 7, 13, 14, 19, 23, 24, 27, 31, 38, 49, 50, 53, 57], "solv": [5, 13, 14, 16, 25, 26, 28, 29, 51, 55, 57], "On": [5, 13, 17, 18, 20, 21, 22, 23, 24, 25, 27, 30, 32, 35, 36, 37, 38, 39, 40, 41, 43, 46, 48, 49, 50, 53, 56], "wait": [5, 14, 16, 18, 32, 44, 57, 59], "until": [5, 14, 15, 20, 25, 26, 27, 28, 32, 41, 46, 51, 52, 53, 55, 59], "pain": [5, 30, 31, 56], "debug": [5, 24, 50], "At": [5, 13, 15, 19, 21, 23, 25, 26, 30, 31, 45, 49, 51, 52, 56], "becom": [5, 13, 15, 16, 19, 20, 21, 24, 25, 26, 29, 43, 45, 46, 50, 51, 52, 55], "wast": [5, 13, 18, 38], "exception": 5, "frustrat": [5, 7, 20, 38, 46], "bug": [5, 9, 53], "happen": [5, 7, 13, 16, 18, 20, 23, 24, 25, 28, 31, 32, 33, 37, 42, 46, 49, 50, 51, 54], "rough": 5, "someth": [5, 11, 13, 14, 18, 21, 22, 23, 24, 26, 28, 31, 32, 33, 48, 50, 52, 54], "minut": [5, 13, 14, 25, 32, 38, 51, 57], "avoid": [5, 8, 9, 14, 17, 21, 22, 27, 31, 39, 48, 51, 53, 57], "partial": [5, 32], "code": [5, 8, 9, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60], "much": [5, 6, 9, 13, 14, 15, 16, 17, 18, 21, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 38, 41, 47, 49, 50, 51, 52, 53, 54, 55, 56, 57], "relev": [5, 9, 12, 14, 16, 17, 20, 24, 31, 43, 50], "possibl": [5, 6, 7, 8, 9, 13, 14, 15, 17, 20, 21, 23, 24, 27, 28, 30, 32, 35, 37, 38, 39, 40, 42, 43, 46, 47, 49, 50, 53, 54, 56], "librari": [5, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 51, 55, 56, 58, 59, 60], "oper": [5, 9, 11, 18, 29, 55], "command": [5, 11, 13, 21, 29, 34, 58], "execut": [5, 26], "entir": [5, 9, 13, 15, 22, 25, 30, 31, 38, 51, 56, 59], "error": [5, 7, 8, 9, 11, 12, 13, 14, 16, 17, 18, 19, 23, 24, 25, 32, 35, 37, 38, 44, 45, 49, 50, 51, 58, 60], "messag": [5, 7, 11, 15, 18, 33, 44], "reproduc": [5, 15, 20, 23, 46, 57], "exact": [5, 26, 32], "traceback": [5, 9, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 32, 33, 34, 35, 37, 38, 39, 40, 41, 43, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60], "line": [5, 9, 11, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 43, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60], "number": [5, 7, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 25, 27, 28, 29, 30, 32, 33, 34, 40, 41, 42, 43, 44, 45, 46, 47, 48, 50, 51, 53, 54, 55, 56, 58, 59, 60], "figur": [5, 9, 11, 13, 14, 20, 22, 24, 25, 26, 27, 28, 30, 31, 32, 36, 39, 40, 41, 46, 50, 51, 52, 53, 54, 56, 58, 59], "yourself": [5, 12, 18, 21, 28, 47, 54, 55], "delet": [5, 8, 17, 28, 43], "ideal": [5, 21, 23, 25, 28, 32, 37, 47, 49, 51, 54], "d": [5, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 31, 33, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 58], "own": [5, 6, 9, 13, 15, 16, 17, 21, 22, 24, 25, 26, 27, 29, 30, 31, 50, 51, 52, 53, 55, 56, 58], "benefit": [5, 16, 23, 27, 29, 42, 53, 55], "equat": [5, 13, 19, 29, 45, 51, 55], "latex": [5, 8, 13], "syntax": [5, 9, 13, 25, 44, 51, 60], "surround": [5, 12], "two": [5, 7, 9, 10, 13, 14, 15, 16, 17, 19, 20, 21, 23, 24, 25, 26, 28, 29, 30, 31, 32, 33, 34, 37, 38, 39, 40, 42, 43, 44, 45, 46, 47, 49, 50, 51, 52, 54, 55, 56, 57, 59, 60], "dollar": [5, 19, 22, 48], "sign": [5, 13, 22, 24, 38, 48, 50, 57], "x": [5, 9, 11, 15, 16, 17, 18, 19, 21, 23, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 39, 42, 43, 44, 45, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59], "render": [5, 8, 13, 17, 18, 20, 21, 22, 23, 25, 26, 29, 30, 35, 36, 37, 38, 39, 40, 41, 43, 46, 48, 49, 51, 52, 55, 56, 58], "nice": [5, 9, 13, 20, 21, 23, 24, 27, 30, 32, 49, 50, 56], "discuss": [5, 13, 15, 16, 17, 19, 24, 25, 26, 27, 30, 31, 43, 47, 50, 51, 52, 53, 56, 57, 60], "either": [5, 14, 15, 16, 18, 21, 24, 26, 27, 29, 30, 31, 44, 50, 52, 53, 55, 56, 59], "tutori": [5, 6, 10, 11, 13, 16, 28, 30, 47, 54, 56, 57], "instructor": [5, 7, 8, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 42, 43, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57], "think": [5, 13, 14, 15, 16, 18, 19, 21, 22, 24, 25, 26, 28, 30, 31, 32, 37, 38, 39, 42, 44, 48, 50, 51, 52, 54, 56, 58, 60], "ye": [5, 13, 14, 17, 18, 24, 25, 26, 27, 28, 30, 31, 37, 42, 43, 44, 50, 51, 52, 53, 54, 56, 58], "formul": [5, 20, 46], "want": [5, 7, 8, 9, 11, 13, 14, 15, 16, 17, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 31, 33, 34, 36, 37, 38, 39, 43, 47, 48, 49, 51, 52, 53, 55, 56, 58, 59], "review": [5, 19, 25, 57], "brief": [5, 19, 23, 45, 49], "explan": [5, 15, 16], "extra": [5, 13, 31, 38, 57], "fanci": [5, 13, 20], "append": [5, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 25, 26, 27, 28, 29, 30, 32, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 49, 50, 51, 52, 53, 54, 55, 56], "l123": 5, "end": [5, 9, 12, 13, 15, 19, 20, 21, 25, 26, 27, 28, 29, 31, 32, 35, 45, 46, 47, 51, 53, 54, 55, 57, 58], "url": [5, 15, 21, 32, 33, 57], "would": [5, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 35, 37, 42, 43, 44, 45, 46, 48, 49, 50, 51, 52, 53, 55, 56, 57, 58], "123": [5, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 30, 31, 32, 34, 35, 37, 38, 39, 40, 41, 43, 45, 46, 47, 48, 49, 50, 51, 56, 59, 60], "rang": [5, 9, 15, 16, 17, 18, 19, 23, 25, 26, 28, 29, 30, 31, 32, 34, 37, 40, 41, 43, 45, 46, 49, 51, 52, 54, 55, 56, 58, 59, 60], "l9": 5, "l17": 5, "highlight": [5, 30, 56], "list": [5, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 28, 29, 32, 34, 38, 40, 41, 46, 47, 48, 49, 50, 52, 54, 55, 57, 58, 59], "send": [5, 13, 57], "teach": [5, 13, 17, 29, 33, 47, 55], "team": [5, 9, 13, 23, 28, 29, 34, 47, 54, 55], "respons": [5, 8, 13, 14, 15, 16, 38, 57], "coupl": [5, 13, 14, 20, 24, 25, 27, 28, 46, 50, 51, 53], "type": [5, 9, 11, 12, 14, 16, 17, 18, 20, 23, 25, 27, 30, 37, 38, 44, 46, 49, 50, 51, 56, 58, 59, 60], "clearli": [5, 7, 8, 20, 23, 24, 31, 46, 50, 57], "name": [5, 6, 7, 9, 11, 13, 14, 16, 17, 18, 20, 21, 23, 24, 25, 26, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 43, 45, 46, 47, 48, 49, 50, 51, 52, 53, 56, 58, 59, 60], "explain": [5, 8, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 31, 32, 42, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56], "concern": [5, 12, 18, 23, 49], "control": [6, 8, 9, 13, 14, 15, 16, 18, 19, 22, 23, 30, 38, 41, 45, 48, 49, 51, 52, 56, 57], "roughli": [6, 15, 29, 55], "speak": [6, 28], "care": [6, 8, 15, 17, 20, 21, 22, 24, 25, 26, 31, 32, 35, 42, 43, 44, 46, 47, 50, 51, 52], "togeth": [6, 9, 13, 14, 16, 17, 18, 26, 29, 37, 38, 52, 55], "collabor": [6, 8, 12, 13], "corpor": [6, 13, 25, 51], "product": [6, 20, 25, 28, 46, 51, 54], "Their": 6, "server": 6, "host": [6, 32], "serv": [6, 13, 14, 24, 50], "central": 6, "sync": 6, "won": [6, 11, 13, 14, 15, 16, 18, 19, 25, 26, 29, 30, 31, 32, 44, 45, 51, 54, 55, 56], "enterpris": 6, "allow": [6, 8, 11, 13, 15, 16, 17, 20, 21, 25, 29, 31, 32, 43, 47, 51, 55, 57, 58], "custom": [6, 9, 13, 14, 18, 21, 22, 25, 28, 33, 34, 37, 40, 44, 47, 48, 51, 54], "remain": [6, 13, 22, 25, 28, 31, 51, 54, 57], "canada": [6, 15, 16, 18, 19, 25, 29, 34, 51, 55], "henc": [6, 21, 22, 24, 26, 47, 50, 52], "pertain": 6, "those": [6, 9, 11, 13, 14, 15, 17, 22, 23, 24, 28, 32, 38, 43, 48, 49, 50, 54, 55], "comfort": 6, "sort": [6, 14, 15, 17, 28, 29, 30, 31, 38, 40, 41, 54, 55, 56, 58, 59], "thing": [6, 8, 9, 13, 14, 15, 16, 20, 21, 24, 25, 26, 27, 28, 30, 31, 32, 33, 37, 38, 46, 47, 50, 51, 52, 53, 54, 56, 60], "told": [6, 28, 57], "easier": [6, 8, 11, 21, 24, 25, 26, 28, 29, 40, 47, 50, 51, 52, 54, 55], "feel": [6, 7, 9, 13, 15, 37, 38], "rout": [6, 14, 31], "instead": [6, 9, 11, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 34, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56], "web": [6, 13, 29, 55], "base": [6, 9, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 24, 26, 27, 29, 32, 34, 36, 37, 43, 45, 46, 47, 48, 50, 52, 53, 55, 57, 58, 59], "sinc": [6, 13, 19, 22, 24, 25, 26, 28, 30, 31, 32, 34, 36, 42, 45, 48, 50, 51, 52, 54, 56], "clone": [6, 11, 13], "order": [6, 9, 13, 14, 15, 17, 18, 19, 20, 21, 22, 24, 25, 26, 27, 28, 29, 31, 33, 34, 37, 38, 42, 43, 44, 46, 48, 50, 51, 52, 53, 54, 55, 58, 59], "lectur": [6, 8, 9, 11, 44, 45, 57, 58, 59, 60], "notebook": [6, 8, 10, 11, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 30, 35, 36, 37, 38, 39, 40, 41, 43, 46, 48, 49, 50, 56, 58, 59, 60], "local": [6, 8, 11, 21, 24, 25, 26, 30, 48, 49, 50, 51, 56, 58], "open": [6, 7, 11, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 30, 35, 38, 41, 48, 56, 57, 60], "termin": [6, 11, 13, 14, 26, 52, 58], "util": [6, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 30, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 56], "folder": [6, 7, 8, 17, 40, 41, 60], "spotlight": [6, 11], "xcode": 6, "packag": [6, 9, 12, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 29, 32, 34, 35, 37, 38, 40, 41, 46, 48, 51, 52, 53, 55, 58, 59, 60], "manag": [6, 12, 13, 28, 31, 32], "sudo": 6, "apt": 6, "trick": [6, 22, 48], "scm": 6, "click": [6, 21, 28, 47, 54], "accept": [6, 8, 9, 21, 22, 29, 34, 48, 55, 58], "default": [6, 8, 11, 13, 14, 15, 18, 19, 20, 21, 22, 23, 26, 27, 30, 31, 32, 36, 39, 45, 47, 48, 49, 51, 52, 56, 60], "minim": [6, 14, 22, 26, 27, 51, 52, 53], "unix": [6, 31], "bash": 6, "shell": [6, 10, 13, 38], "return": [6, 9, 11, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 40, 41, 44, 47, 48, 51, 53, 54, 55, 56, 58, 59, 60], "success": [6, 9, 11, 13, 21, 23, 28, 30, 31, 49, 54, 56], "One": [6, 9, 13, 14, 15, 18, 19, 20, 21, 24, 26, 27, 28, 32, 37, 38, 44, 45, 46, 47, 50, 52, 54, 59], "carpentri": 6, "challeng": [7, 12, 13, 15, 25, 28, 31, 33, 51, 54, 59, 60], "report": [7, 13, 14, 20, 22, 25, 31, 46, 51], "regrad": 7, "request": [7, 17, 29, 43, 55, 57], "grading_concern": 7, "state": [7, 9, 15, 21, 23, 24, 25, 28, 49, 50, 51, 54, 55, 58], "perceiv": 7, "rais": [7, 9, 13, 18, 21, 28, 31, 32, 37, 40, 41, 58, 59], "perfect": [7, 14, 15, 21, 22, 24, 25, 32, 35, 36, 47, 48, 50, 51, 58], "random": [7, 9, 12, 15, 16, 19, 21, 25, 26, 27, 28, 29, 31, 32, 34, 36, 40, 41, 42, 45, 47, 51, 52, 53, 54, 55, 58], "normal": [7, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 36, 37, 39, 40, 41, 47, 48, 49, 50, 51, 52, 53, 55, 56], "than": [7, 13, 14, 15, 16, 17, 19, 21, 22, 23, 24, 26, 27, 28, 29, 30, 32, 33, 36, 37, 38, 39, 41, 43, 44, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57], "deserv": [7, 13, 38], "case": [7, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 31, 32, 37, 38, 43, 45, 46, 47, 48, 49, 50, 51, 52, 54, 55, 56, 57, 58, 59], "exploit": [7, 38], "consist": [7, 8, 14, 15, 17, 18, 26, 37, 52], "complain": [7, 25, 51], "too": [7, 13, 15, 17, 18, 20, 22, 23, 24, 26, 28, 31, 32, 38, 41, 44, 46, 48, 49, 50, 54, 55, 57, 59], "low": [7, 13, 15, 16, 20, 21, 22, 24, 25, 26, 27, 32, 37, 46, 47, 48, 50, 51, 52, 53], "high": [7, 12, 13, 15, 16, 19, 20, 21, 22, 23, 24, 25, 27, 28, 30, 31, 32, 37, 43, 45, 47, 48, 49, 50, 51, 53, 54, 56], "unfortun": [7, 20, 24, 26, 27, 46, 50, 52, 53, 59], "could": [7, 9, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 25, 26, 28, 29, 31, 32, 33, 39, 43, 44, 46, 47, 48, 49, 51, 52, 54, 55, 57, 59], "spent": [7, 17, 25, 28, 51, 54], "better": [7, 13, 14, 16, 17, 18, 19, 22, 23, 24, 27, 28, 29, 30, 31, 36, 37, 40, 42, 43, 45, 46, 47, 48, 49, 50, 53, 54, 55, 56, 57], "my": [7, 11, 13, 20, 21, 24, 25, 26, 29, 30, 46, 47, 51, 52, 55, 56, 58], "view": [7, 8, 13, 14, 27, 30, 31, 32, 35, 53, 56], "overzeal": 7, "contest": 7, "penal": [7, 32, 52], "classmat": [7, 15, 57, 58], "gain": [7, 12, 14, 21, 23, 24, 39, 49, 50], "sometim": [7, 13, 14, 15, 18, 19, 20, 21, 23, 24, 29, 50, 55], "seriou": [7, 21, 28, 29, 54, 55], "grader": [7, 13, 14, 58, 59, 60], "did": [7, 13, 14, 16, 24, 25, 26, 29, 31, 38, 50, 51, 52, 55], "question": [7, 8, 43, 47, 48, 51, 52, 56, 57, 58], "deviat": [7, 15, 17, 23, 24, 43, 49, 50, 59], "unknown": [7, 37, 42, 44, 45], "Such": [7, 31], "quit": [7, 13, 14, 17, 20, 21, 22, 24, 25, 27, 29, 30, 31, 32, 36, 40, 41, 43, 46, 47, 48, 50, 51, 53, 55, 56], "fair": [7, 15, 17, 22, 24, 26, 48, 50, 52, 57, 59], "sens": [7, 13, 15, 18, 19, 21, 22, 24, 25, 26, 29, 31, 32, 34, 38, 47, 50, 51, 52, 55, 60], "bring": [7, 13, 24, 25, 27, 35, 42, 50, 51, 53], "attent": [7, 28, 54], "balanc": [7, 16, 23, 28, 30, 37, 38, 39, 49, 54, 56], "side": [7, 13, 55, 59], "difficult": [7, 8, 13, 21, 25, 26, 38, 47, 51, 52], "deem": 7, "unreason": [7, 22, 48], "receiv": [7, 8, 18, 27, 30, 31, 33, 38, 44, 53, 56, 58], "warn": [7, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 48, 49, 50, 58, 59, 60], "lose": [7, 18], "privileg": 7, "remaind": 7, "extrem": [7, 18, 21, 23, 24, 25, 28, 32, 49, 50, 51, 54], "minor": [7, 13], "complaint": [7, 57], "e": [7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58], "g": [7, 8, 9, 12, 13, 14, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 44, 46, 47, 48, 49, 50, 51, 53, 54, 55, 56, 58], "repeatedli": [7, 33], "same": [7, 8, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 35, 39, 43, 44, 45, 47, 49, 51, 52, 53, 54, 55, 56], "issu": [7, 13, 23, 32, 34, 49, 57], "reach": [7, 13, 26, 52], "guid": [8, 10, 13, 25, 30, 51, 56, 58], "everi": [8, 9, 13, 14, 15, 18, 23, 27, 31, 49, 53], "hw": [8, 13], "announc": [8, 38], "along": [8, 14, 18, 21, 30, 31, 56], "anticip": [8, 57], "pull": [8, 11, 17, 19, 29, 43, 55], "privat": [8, 11, 21, 24, 49, 50], "unfinish": [8, 22, 48], "To": [8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 22, 23, 25, 27, 29, 30, 31, 34, 36, 37, 40, 41, 45, 49, 51, 53, 55, 56, 57], "ensur": [8, 12, 17, 23, 43, 49], "output": [8, 9, 11, 13, 14, 15, 18, 19, 21, 23, 24, 28, 30, 31, 34, 37, 40, 41, 45, 46, 49, 50, 56, 57, 58, 59], "plot": [8, 13, 14, 15, 16, 17, 19, 20, 21, 22, 25, 28, 30, 31, 32, 35, 36, 37, 39, 43, 45, 46, 47, 48, 53, 54, 56, 58, 59], "properli": [8, 13, 32, 37, 55, 58], "failur": [8, 13, 57], "deduct": 8, "bundl": [8, 11], "fine": [8, 13, 17, 18, 21, 30, 31, 47, 56], "leav": [8, 14, 27, 28, 30, 32, 38, 53, 56], "paper": [8, 24, 25, 26, 29, 30, 32, 33, 50, 51, 55, 56], "Be": [8, 13, 24, 28, 50, 54, 59], "written": [8, 13, 18, 31], "easi": [8, 16, 17, 19, 23, 24, 25, 26, 27, 29, 45, 49, 50, 51, 52, 53, 55], "ta": [8, 22, 24, 48, 50, 54], "aren": [8, 22, 25, 26, 30, 31, 48, 51, 52, 55, 56, 58], "clear": [8, 12, 21, 26, 28, 47, 52, 54, 58, 59], "correct": [8, 13, 14, 15, 16, 21, 23, 24, 28, 29, 32, 33, 47, 49, 50, 55, 58], "cell": [8, 9, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 30, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 54, 55, 56, 58, 59, 60], "around": [8, 13, 16, 18, 21, 22, 28, 31, 32, 38, 44, 47, 48, 58, 59], "valu": [8, 9, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60], "tabl": [8, 37], "displai": [8, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 27, 28, 31, 32, 33, 35, 37, 38, 39, 43, 44, 45, 46, 47, 49, 53, 54, 58, 59, 60], "calcul": [8, 15, 16, 17, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 35, 40, 43, 46, 47, 49, 50, 51, 52, 53, 54, 55, 56, 60], "suffici": [8, 28, 29, 54, 55], "store": [8, 9, 16, 17, 18, 20, 23, 24, 25, 27, 30, 31, 32, 34, 37, 38, 46, 53, 55, 58, 59, 60], "variabl": [8, 9, 14, 17, 18, 19, 20, 22, 24, 25, 30, 31, 43, 44, 48, 50, 51, 52, 56, 58, 59, 60], "nor": [8, 13, 15, 18, 44, 55], "print": [8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 36, 38, 39, 41, 43, 44, 46, 47, 48, 49, 50, 51, 53, 54, 55, 56, 59], "actual": [8, 13, 19, 21, 23, 24, 26, 28, 29, 31, 32, 38, 47, 49, 50, 52, 54, 55], "save": [8, 9, 18, 20, 24, 25, 30, 31, 46, 50, 51, 54, 56, 58], "shown": [8, 11, 13, 14, 16, 21, 23, 24, 26, 27, 31, 49, 50, 53], "screen": [8, 13, 38], "likewis": 8, "assert": [8, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 39, 48, 49, 50, 58, 59, 60], "statement": [8, 15, 16, 17, 18, 19, 20, 21, 22, 25, 30, 43, 44, 45, 46, 47, 48, 49, 51, 56], "left": [8, 13, 20, 21, 22, 26, 27, 29, 31, 32, 46, 47, 48, 52, 53, 55], "unsur": 8, "exactli": [8, 13, 15, 24, 26, 28, 45, 50], "emb": [8, 21, 26, 27, 53, 58], "ipynb": [8, 9, 13, 15, 58, 59, 60], "axi": [8, 9, 13, 14, 15, 17, 18, 19, 24, 26, 27, 28, 29, 30, 31, 36, 38, 40, 41, 43, 45, 50, 52, 53, 55, 56], "label": [8, 9, 14, 15, 16, 17, 18, 21, 22, 23, 24, 25, 27, 28, 29, 30, 31, 32, 34, 36, 38, 39, 41, 43, 44, 47, 48, 49, 50, 51, 53, 54, 55, 56, 59], "multipl": [8, 9, 15, 19, 20, 23, 29, 30, 31, 32, 44, 45, 46, 49, 55, 56, 59], "curv": [8, 9, 12, 26, 52], "legend": [8, 9, 16, 19, 21, 22, 25, 26, 30, 31, 32, 39, 44, 45, 47, 48, 51, 52, 56], "accompani": [8, 13, 14], "what": [8, 9, 10, 14, 16, 20, 27, 30, 31, 34, 35, 36, 38, 42, 45, 46, 53, 56, 58, 59, 60], "put": [8, 9, 11, 13, 14, 15, 17, 18, 25, 26, 27, 36, 37, 38, 43, 44, 51, 53], "titl": [8, 15, 19, 22, 25, 27, 30, 31, 32, 35, 36, 40, 41, 45, 51, 53, 56, 58, 59], "imag": [8, 12, 15, 21, 24, 25, 26, 27, 31, 39, 41, 47, 50, 51, 52, 53, 58, 59], "itself": [8, 13, 21, 23, 27, 38, 47, 49, 53, 55], "train": [8, 16, 17, 20, 22, 23, 24, 25, 26, 28, 32, 33, 35, 36, 37, 38, 40, 41, 43, 44, 45, 46, 48, 49, 50, 51, 52, 54, 59], "caption": [8, 30, 56], "underneath": 8, "regardless": [8, 13], "big": [8, 13, 16, 18, 20, 21, 23, 25, 26, 27, 28, 29, 30, 32, 37, 38, 46, 47, 51, 52, 53, 54, 55, 56], "enough": [8, 13, 16, 18, 21, 22, 23, 26, 28, 33, 42, 47, 49, 52, 54], "strain": 8, "zoom": [8, 38], "tini": [8, 15, 21, 27, 29, 40, 41, 53, 55], "alon": [8, 13], "onward": 8, "group": [8, 12, 14, 15, 16, 18, 19, 23, 25, 28, 29, 31, 37, 51, 54, 55, 58, 59], "soon": [8, 13, 16, 17, 31, 47], "By": [8, 12, 13, 15, 16, 18, 21, 23, 26, 30, 32, 47, 49, 51, 52, 56, 59], "rational": 8, "solut": [8, 14, 15, 17, 23, 26, 32, 33, 43, 52, 57, 58, 59], "shortli": 8, "deadlin": [8, 21], "overal": [8, 11, 21, 24, 26, 30, 37, 38, 39, 40, 50, 52, 56, 57], "whole": [8, 13, 15, 20, 22, 28, 38, 46, 48, 54], "circumst": 8, "academ": [8, 25, 51], "concess": 8, "pin": [8, 14, 30], "outsid": [8, 13, 21, 23, 24, 28, 29, 31, 47, 49, 50, 54], "snippet": [8, 13], "stack": [8, 12, 37, 42], "overflow": 8, "start": [8, 9, 11, 13, 14, 15, 21, 23, 24, 25, 26, 27, 28, 30, 31, 32, 33, 37, 38, 40, 41, 49, 50, 51, 52, 53, 54, 56, 58, 59], "each": [8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 36, 37, 38, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59], "consequ": [8, 13, 18, 21, 28, 38, 39, 47, 54], "citat": 8, "contain": [9, 11, 13, 14, 17, 18, 19, 22, 25, 28, 29, 30, 33, 44, 51, 54, 55, 56, 58, 60], "1st": [9, 13, 21, 23, 24, 31, 39, 49, 50], "offer": [9, 12, 13, 23, 28, 32, 54, 57], "decid": [9, 13, 14, 16, 19, 23, 24, 25, 26, 27, 29, 31, 32, 33, 42, 45, 49, 50, 51, 52, 53, 55, 58, 59], "stop": [9, 29, 32, 35, 37, 55], "alloc": [9, 29, 30, 34, 55, 56], "import": [9, 12, 38, 39, 40, 41, 43, 44, 46, 48, 51, 53, 55, 56, 57], "np": [9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60], "pd": [9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60], "familiar": [9, 12, 13, 14, 17, 43, 57, 60], "matlab": 9, "pyplot": [9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 30, 31, 32, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 58, 59, 60], "plt": [9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 30, 31, 32, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 58, 59, 60], "now": [9, 11, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 31, 34, 36, 37, 38, 39, 40, 41, 45, 46, 47, 48, 49, 50, 51, 54, 55, 56, 58, 59, 60], "y": [9, 15, 16, 17, 18, 19, 20, 21, 23, 25, 26, 27, 28, 30, 31, 32, 34, 35, 36, 37, 39, 42, 44, 45, 46, 47, 49, 50, 51, 52, 53, 54, 55, 56, 59], "line2d": 9, "0x165eded10": [], "often": [9, 13, 15, 16, 17, 18, 19, 20, 21, 23, 24, 25, 26, 27, 28, 30, 31, 43, 44, 45, 46, 47, 49, 50, 51, 52, 53, 54, 56], "me": [9, 13, 20, 25, 28, 33, 46, 51, 55], "semicolon": 9, "suppress": 9, "minimum": [9, 15, 17, 26, 27, 29, 34, 43, 53, 55], "xlabel": [9, 14, 15, 16, 19, 20, 21, 22, 24, 27, 30, 31, 32, 39, 41, 45, 46, 47, 48, 50, 51, 52, 56], "independ": [9, 10, 14, 20, 22, 23, 25, 46, 48, 49, 51], "ylabel": [9, 14, 15, 16, 19, 20, 21, 22, 27, 30, 31, 32, 35, 36, 39, 41, 45, 46, 47, 48, 51, 56, 59], "visit": [9, 28, 57], "hassl": [9, 24, 31, 50], "conveni": [9, 13, 20, 21, 26, 29, 31, 32, 34, 46, 47, 52, 55], "cover": [9, 13, 16, 21, 23, 26, 30, 31, 47, 49, 52, 56, 57], "knowledg": [9, 13, 14, 18, 20, 25, 26, 29, 46, 51, 52, 55], "zero": [9, 15, 18, 20, 28, 29, 46, 51, 54, 55], "ones": [9, 13, 17, 23, 24, 26, 28, 29, 35, 43, 49, 50, 52, 54, 55, 59], "z": [9, 19, 25, 26, 27, 28, 32, 34, 36, 45, 52, 53, 54], "rand": [9, 23, 49], "69882353": [], "06246254": [], "07541878": [], "59336878": [], "66359121": [], "6769019": [], "062462544215568294": [], "confus": [9, 16, 18, 22, 24, 39, 48, 50], "ndim": 9, "array_equ": 9, "fals": [9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 28, 29, 30, 31, 32, 34, 35, 37, 38, 39, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 55, 56, 60], "arithmet": 9, "describ": [9, 12, 14, 15, 16, 17, 19, 21, 22, 28, 29, 31, 35, 37, 38, 45, 47, 48, 54, 55, 60], "treat": [9, 17, 18, 21, 22, 28, 31, 32, 39, 44, 45, 48, 52, 54, 60], "idea": [9, 13, 14, 15, 17, 20, 24, 29, 30, 31, 32, 35, 36, 37, 43, 46, 50, 55, 56], "speed": [9, 14, 23, 28, 38, 49, 54], "pi": 9, "weekend": [9, 31], "price": [9, 15, 17, 19, 22, 24, 25, 35, 37, 48, 50, 51], "sold": [9, 22], "pie": 9, "last": [9, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60], "know": [9, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 38, 43, 45, 46, 50, 51, 52, 53, 54, 55, 56, 57, 59], "monei": [9, 13, 28, 32, 54], "per": [9, 19, 21, 22, 23, 24, 26, 28, 30, 31, 39, 45, 48, 49, 50, 56], "cost": [9, 13, 28, 30, 54, 56], "25": [9, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 31, 34, 35, 37, 40, 41, 46, 47, 48, 49, 50, 51, 53, 55], "reshap": [9, 19, 20, 29, 30, 31, 37, 40, 45, 46, 55, 56], "sale": [9, 21, 22, 31, 35, 48], "npie": 9, "j": [9, 19, 25, 26, 28, 45, 51, 52, 54, 58], "40": [9, 13, 16, 19, 20, 21, 22, 24, 27, 28, 31, 32, 33, 34, 37, 40, 41, 46, 48, 49, 50, 51, 53, 59], "60": [9, 13, 17, 21, 22, 24, 25, 28, 29, 31, 32, 40, 41, 44, 48, 51, 54, 55], "90": [9, 13, 14, 15, 16, 18, 21, 22, 27, 28, 31, 41, 42, 44, 48, 51, 53, 54], "45": [9, 14, 15, 16, 19, 21, 22, 29, 31, 32, 34, 48, 55], "125": [9, 22, 28, 34, 40, 48, 54], "75": [9, 13, 14, 15, 17, 18, 19, 20, 21, 22, 28, 31, 34, 35, 37, 43, 44, 45, 46, 47, 48, 50, 51, 54, 57], "cost_rep": 9, "repeat": [9, 25, 26, 27, 30, 51, 52, 53, 56], "newaxi": 9, "equival": [9, 21, 23, 49], "explicitli": [9, 13, 30, 41, 56], "debat": [9, 24, 50], "definit": [9, 16, 24, 26, 29, 30, 31, 50, 52, 55], "sai": [9, 13, 14, 16, 17, 18, 21, 22, 23, 24, 28, 29, 31, 43, 47, 50, 52, 54, 55], "arr1": 9, "arang": [9, 15, 16, 19, 20, 21, 22, 35, 36, 38, 41, 46, 47, 48, 59], "arr2": 9, "fail": [9, 11, 13, 15, 17, 18, 25, 27, 32, 37, 51, 53, 58, 59], "compat": [9, 24, 50], "valueerror": [9, 17, 18, 28, 32, 37], "33": [9, 13, 16, 17, 18, 19, 20, 21, 22, 25, 31, 35, 41, 46, 47, 48, 51, 55], "operand": [9, 58, 59], "facilit": [9, 57], "dimens": [9, 19, 25, 29, 51, 55], "increas": [9, 15, 16, 18, 19, 23, 24, 25, 26, 27, 30, 35, 38, 43, 44, 45, 46, 47, 49, 50, 51, 52, 53, 56], "opposit": [9, 22, 23, 24, 28, 48, 50], "achiev": [9, 16, 21, 47], "squeez": [9, 32, 37, 48], "compar": [9, 12, 14, 15, 16, 17, 19, 20, 21, 22, 23, 24, 25, 27, 28, 30, 31, 35, 42, 46, 47, 49, 50, 51, 53, 54, 55, 56, 58], "trail": 9, "equal": [9, 13, 16, 18, 21, 22, 23, 24, 27, 28, 31, 44, 45, 47, 48, 49, 50, 53, 54, 57, 58], "compatibitl": 9, "b": [9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 28, 29, 30, 31, 32, 35, 38, 43, 44, 45, 46, 47, 48, 49, 51, 53, 54, 55, 56, 58, 59, 60], "f": [9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 35, 37, 38, 40, 41, 44, 48, 51, 52, 53, 55, 56, 58, 59, 60], "popular": [9, 12, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 34, 43, 44, 45, 48, 49, 50, 51, 52, 53, 54, 55, 56], "tabular": [9, 13, 30, 31, 36, 56], "structur": [9, 26, 29, 30, 40, 41, 52, 55, 56], "creat": [9, 10, 11, 13, 16, 17, 19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 34, 35, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 55, 56, 59, 60], "ndarrai": [9, 18, 24, 44, 50], "dictionari": [9, 17, 20, 21, 23, 24, 34, 40, 41, 47], "integ": [9, 17, 18, 20, 23, 24, 31, 43, 46, 49, 50, 58], "string": [9, 11, 16, 21, 22, 23, 24, 29, 31, 32, 34, 47, 48, 49, 50, 55], "gold": [9, 13], "medal": 9, "count": [9, 14, 17, 18, 21, 22, 25, 28, 29, 30, 31, 32, 33, 35, 37, 44, 47, 48, 51, 54, 55, 56, 58, 60], "2012": [9, 17, 20, 28, 46], "2016": [9, 30, 31, 56], "olymp": 9, "dtype": [9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 37, 38, 39, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 60], "float64": [9, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 29, 31, 32, 37, 44, 46, 47, 48, 49, 50, 51, 54, 55], "s1": [9, 29, 55], "46": [9, 14, 15, 16, 17, 18, 19, 21, 22, 25, 28, 30, 31, 37, 43, 48], "38": [9, 16, 17, 19, 21, 22, 25, 31, 32, 34, 35, 40, 41, 47, 48, 51, 54, 55], "29": [9, 16, 17, 21, 22, 25, 28, 31, 32, 35, 37, 40, 41, 47, 48, 51, 55], "usa": [9, 13, 15, 16, 19, 29, 55], "chn": 9, "gbr": 9, "ru": [9, 21], "ger": 9, "int64": [9, 14, 18, 21, 22, 25, 28, 31, 32, 35, 37, 38, 44, 47, 48, 51, 54, 55], "s2": [9, 29, 55], "squar": [9, 12, 14, 16, 19, 24, 25, 26, 28, 50, 51, 54], "bracket": 9, "iloc": [9, 14, 15, 16, 17, 18, 23, 24, 29, 31, 32, 34, 38, 41, 49, 50, 51, 55], "64": [9, 11, 16, 19, 21, 22, 30, 31, 47, 48, 56], "56": [9, 16, 18, 21, 22, 31, 34, 37, 41, 47, 48], "nan": [9, 16, 17, 18, 21, 23, 24, 25, 28, 31, 32, 34, 37, 39, 42, 43, 44, 49, 50, 51, 54], "92": [9, 14, 15, 18, 21, 27, 31, 42, 44, 53], "unlik": [9, 13, 15, 16, 18, 22, 24, 26, 27, 48, 50, 52, 53], "align": [9, 13, 14, 15, 16, 52], "union": [9, 48], "primari": [9, 12, 16, 38], "realli": [9, 13, 15, 19, 20, 23, 25, 27, 28, 29, 30, 31, 32, 38, 45, 46, 49, 51, 53, 54, 55, 56], "bunch": [9, 11, 14, 22, 23, 30, 32, 33, 35, 48, 49, 56], "three": [9, 13, 14, 17, 19, 21, 23, 24, 25, 26, 27, 28, 29, 30, 31, 33, 36, 42, 43, 45, 47, 49, 50, 51, 52, 53, 55, 56, 58, 59], "main": [9, 11, 13, 14, 16, 18, 23, 24, 39, 42, 49, 50, 51, 57], "slice": 9, "loc": [9, 16, 19, 21, 24, 28, 29, 31, 32, 39, 44, 47, 50, 52, 54, 55], "singl": [9, 17, 19, 20, 21, 23, 24, 31, 32, 42, 43, 44, 46, 47, 49, 50, 51, 52, 58, 59], "core": [9, 10, 12, 15, 17, 18, 20, 21, 22, 25, 27, 28, 31, 32, 44, 47, 48, 51, 53, 54, 58, 59], "doesn": [9, 13, 15, 17, 18, 21, 22, 23, 24, 26, 27, 28, 29, 30, 32, 34, 49, 50, 52, 53, 54, 55, 56, 59], "littl": [9, 13, 21, 30, 52, 54, 56], "unintuit": 9, "object": [9, 15, 17, 18, 19, 20, 21, 22, 24, 25, 34, 35, 37, 38, 39, 43, 44, 46, 48, 50, 51, 52, 53, 59], "load": [9, 13, 17, 18, 19, 20, 21, 22, 23, 24, 25, 28, 29, 30, 34, 35, 36, 37, 38, 40, 41, 43, 46, 48, 49, 50, 51, 54, 55, 56, 58, 59, 60], "read_csv": [9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 28, 29, 31, 32, 34, 35, 37, 38, 39, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 54, 55, 60], "dataset": [9, 12, 13, 15, 16, 23, 24, 25, 26, 27, 32, 33, 35, 36, 40, 41, 42, 44, 45, 49, 50, 51, 52, 53, 59], "colleagu": [9, 10, 58], "cycl": 9, "commut": 9, "everydai": 9, "path": [9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 26, 27, 28, 29, 30, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 49, 50, 52, 53, 54, 55, 56], "cycling_data": 9, "index_col": [9, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 35, 38, 43, 46, 48, 54, 60], "parse_d": [9, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 31, 35, 38, 48, 60], "true": [9, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 54, 55, 56, 58, 59], "head": [9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 28, 29, 30, 31, 32, 34, 37, 38, 39, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 53, 54, 55, 56], "distanc": [9, 17, 25, 27, 28, 29, 36, 40, 41, 43, 51, 54, 59], "comment": [9, 10, 13, 15, 16, 17, 18, 23, 24, 25, 35, 37, 38, 60], "date": [9, 11, 13, 14, 25, 28, 29, 35, 51, 54, 55, 57], "2019": 9, "04": [9, 17, 18, 20, 22, 24, 31, 34, 35, 37, 39, 43, 46, 48, 50, 51], "afternoon": 9, "ride": [9, 13], "2084": 9, "62": [9, 16, 20, 22, 31, 37, 46, 48], "rain": [9, 31], "52": [9, 16, 17, 19, 22, 25, 31, 34, 39, 41, 47, 48, 51, 54], "morn": [9, 13], "2531": 9, "1863": [9, 18, 28, 34], "wet": [9, 13], "road": 9, "weather": [9, 14, 31], "06": [9, 17, 20, 22, 27, 30, 31, 35, 46, 48, 51, 53, 55, 56], "2192": [9, 20], "84": [9, 14, 15, 18, 31, 32, 35, 40, 41, 42, 44], "photo": [9, 25], "sunris": 9, "1891": 9, "48": [9, 14, 15, 16, 19, 21, 22, 24, 28, 31, 40, 47, 48, 50], "tire": [9, 25, 51], "input": [9, 14, 17, 19, 23, 24, 25, 30, 31, 36, 37, 40, 41, 43, 45, 49, 50, 51, 56], "raw": [9, 18, 24, 25, 29, 30, 44, 45, 46, 50, 51, 55, 56], "githubusercont": 9, "tomasbeuzen": 9, "toi": [9, 15, 16, 25, 26, 27, 31, 36, 42, 44, 51, 52, 53], "master": [9, 13, 21, 23, 24, 29, 39, 43, 46, 49, 50, 55], "wine_1": 9, "bottl": 9, "grape": 9, "alcohol": 9, "ph": [9, 13, 29, 55], "colour": [9, 18, 19, 20, 24, 26, 27, 30, 41, 44, 50, 53, 56], "aroma": 9, "chardonnai": 9, "australia": [9, 31], "51": [9, 16, 17, 18, 20, 21, 22, 26, 28, 31, 32, 34, 43, 48, 51, 52], "white": [9, 13, 21, 24, 27, 29, 49, 50, 55], "floral": 9, "pinot": 9, "grigio": 9, "itali": [9, 29, 55], "fruiti": 9, "blanc": 9, "franc": 9, "citru": 9, "shiraz": 9, "chile": 9, "91": [9, 14, 15, 17, 18, 20, 21, 25, 26, 31, 35, 42, 44, 46, 52], "39": [9, 16, 20, 22, 26, 31, 34, 40, 41, 48, 52, 55], "red": [9, 13, 14, 16, 21, 24, 25, 26, 31, 47, 50, 52], "berri": 9, "malbec": 9, "argentina": 9, "83": [9, 14, 15, 18, 20, 21, 27, 29, 31, 34, 38, 41, 42, 44, 51, 53, 55], "read_excel": 9, "read_html": 9, "read_json": 9, "frame": [9, 17, 18, 21, 22, 25, 28, 31, 32, 34, 44, 47, 48, 51, 54], "rangeindex": [9, 18, 25, 31, 32, 44, 51], "entri": [9, 16, 17, 18, 19, 21, 22, 25, 28, 31, 32, 40, 41, 44, 45, 47, 48, 51, 54], "32": [9, 16, 17, 18, 19, 20, 22, 26, 31, 32, 37, 43, 46, 48, 51, 52, 55], "null": [9, 17, 18, 21, 22, 25, 28, 31, 32, 44, 47, 48, 51, 54], "memori": [9, 17, 18, 21, 22, 23, 25, 28, 30, 31, 32, 41, 44, 47, 48, 49, 51, 54, 56], "usag": [9, 17, 18, 21, 22, 25, 28, 29, 31, 32, 44, 47, 48, 51, 54, 55], "kb": [9, 18, 22, 32, 44, 48], "000000": [9, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 27, 28, 31, 32, 35, 36, 37, 44, 46, 47, 48, 49, 50, 51, 53, 54, 56], "uniqu": [9, 17, 18, 21, 22, 23, 24, 28, 29, 31, 33, 39, 41, 43, 44, 48, 49, 50, 54, 55], "top": [9, 14, 18, 20, 21, 27, 28, 31, 38, 46, 47, 53, 55, 58], "42": [9, 13, 14, 15, 16, 17, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 30, 31, 34, 36, 39, 40, 41, 43, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 58, 59], "43": [9, 16, 19, 20, 21, 22, 28, 31, 32, 34, 46, 47, 48, 58, 59], "good": [9, 10, 11, 13, 14, 15, 16, 17, 18, 20, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 34, 35, 37, 38, 40, 42, 43, 44, 46, 48, 49, 50, 51, 52, 53, 55, 56], "freq": [9, 31], "3512": 9, "787879": [9, 16, 19], "667419": 9, "std": [9, 15, 16, 17, 21, 22, 25, 28, 30, 31, 32, 35, 36, 37, 39, 43, 44, 47, 48, 51, 54, 56], "8003": 9, "309233": 9, "428618": 9, "1712": 9, "790000": [9, 17], "480000": 9, "2118": 9, "620000": 9, "2285": [9, 31], "750000": [9, 22, 35, 48], "max": [9, 15, 16, 17, 19, 20, 21, 22, 23, 26, 27, 31, 35, 37, 38, 45, 46, 47, 48, 49, 52, 53, 59], "48062": 9, "570000": 9, "specif": [9, 12, 13, 14, 15, 20, 21, 24, 29, 30, 31, 46, 50, 55, 56], "dict": [9, 21, 28, 34, 40, 41, 47, 54], "perman": 9, "argument": [9, 14, 18, 20, 21, 22, 25, 29, 39, 42, 44, 46, 47, 48, 51, 55, 58], "inplac": [9, 13, 14, 20, 38, 46], "discourag": [9, 51], "mostli": [9, 18, 31, 38], "hide": [9, 14], "lead": [9, 13, 15, 19, 22, 27, 32, 45, 53, 59], "hard": [9, 13, 15, 16, 17, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 30, 33, 42, 43, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56], "col1": 9, "col2": 9, "col3": 9, "col4": 9, "col5": 9, "col6": 9, "14159265358979323": 9, "141593": 9, "tail": [9, 28, 31, 54], "01": [9, 16, 17, 19, 20, 21, 22, 24, 28, 30, 31, 34, 37, 38, 39, 45, 46, 47, 48, 50, 54, 56], "08": [9, 17, 20, 22, 25, 27, 28, 31, 33, 34, 46, 48, 51, 53], "1870": [9, 20, 28, 46], "63": [9, 16, 20, 21, 22, 25, 31, 40, 44, 47, 48, 51], "wind": [9, 14], "55": [9, 14, 15, 16, 19, 20, 21, 22, 23, 31, 32, 34, 40, 44, 46, 48, 49], "2149": 9, "70": [9, 14, 15, 18, 21, 22, 26, 27, 31, 32, 35, 36, 40, 41, 48, 51, 52, 53], "cold": [9, 17, 28, 54], "1841": 9, "holidai": [9, 28, 54], "2463": 9, "79": [9, 14, 15, 17, 18, 19, 21, 22, 28, 31, 34, 48, 51, 54], "57": [9, 16, 17, 18, 21, 22, 31, 32, 39, 43, 47, 48], "1843": [9, 28, 54], "bike": [9, 31], "tight": [9, 13, 27, 53], "oil": 9, "pump": 9, "last_row": 9, "34": [9, 13, 16, 17, 18, 19, 21, 22, 25, 30, 31, 37, 43, 47, 48, 51, 55], "occur": [9, 14, 15, 18, 29, 32, 33, 44, 55], "twice": [9, 15, 19], "bad": [9, 13, 14, 15, 16, 18, 21, 22, 23, 24, 25, 28, 30, 31, 34, 37, 38, 46, 47, 48, 49, 51, 53, 56], "why": [9, 15, 16, 21, 22, 23, 27, 31, 32, 33, 35, 37, 38, 41, 42, 44, 47, 49, 52, 53, 58], "ignore_index": 9, "duplic": 9, "22": [9, 16, 17, 18, 20, 21, 22, 24, 25, 28, 31, 32, 37, 40, 41, 43, 46, 47, 48, 49, 50, 51, 55, 57], "1724": 9, "1732": 9, "leg": 9, "strong": [9, 12, 13, 23, 32, 38, 49], "1756": 9, "todai": [9, 14, 28, 29, 30, 31, 32, 51, 54, 56], "1775": 9, "ascend": [9, 18, 19, 20, 22, 23, 24, 25, 31, 32, 35, 38, 42, 46, 48, 49, 50, 51], "specifi": [9, 14, 15, 18, 20, 21, 26, 27, 30, 36, 46, 47, 52, 53, 56, 58, 60], "descend": [9, 28, 30, 38, 42, 56], "2961": 9, "81": [9, 14, 15, 16, 18, 19, 20, 21, 22, 24, 26, 31, 32, 41, 46, 47, 48, 50, 52, 56], "49": [9, 16, 19, 22, 25, 28, 31, 39, 45, 47, 48, 51], "53": [9, 19, 22, 28, 31, 34, 40, 45, 48], "2903": 9, "2101": 9, "35": [9, 16, 17, 19, 21, 22, 24, 31, 32, 35, 40, 41, 48, 49, 50, 55, 58], "2076": 9, "chain": [9, 18, 34], "smooth": [9, 16, 51], "back": [9, 13, 17, 20, 29, 35, 36, 38, 42, 44, 55, 59], "orgin": 9, "sort_index": [9, 20, 22, 31, 46, 48], "ve": [9, 13, 15, 16, 21, 22, 24, 28, 29, 30, 31, 36, 50, 54, 55, 56, 58, 59, 60], "seen": [9, 13, 15, 16, 17, 18, 19, 25, 27, 28, 30, 32, 42, 43, 44, 45, 51, 53, 54, 56], "power": [9, 15, 23, 29, 30, 37, 51, 55, 56, 59], "2500": [9, 25, 37, 51], "prefix": [9, 48], "thresh": 9, "2800": 9, "built": [9, 13, 14, 15, 19, 20, 24, 28, 31, 46, 50, 54], "round": [9, 13, 16, 17, 20, 21, 23, 27, 30, 36, 49, 52, 53, 56, 58, 59], "sum": [9, 16, 17, 18, 19, 23, 24, 25, 26, 30, 38, 45, 49, 50, 51, 52, 56], "0410": 9, "1811": 9, "ridemorn": 9, "rideafternoon": 9, "ridemornin": 9, "rideriderideriderideriderideriderideriderideri": 9, "115922": 9, "392": [9, 13], "69": [9, 14, 15, 16, 18, 22, 26, 31, 32, 40, 48, 52, 54], "rainrainwet": 9, "weatherstop": 9, "p": [9, 19, 20, 27, 32, 41, 46, 52, 53], "sin": 9, "9092974268256817": 9, "901866": 9, "053604": 9, "901697": 9, "447197": 9, "035549": 9, "046354": 9, "739059": 9, "270228": 9, "236515": 9, "086263": 9, "lambda": [9, 14, 19, 25, 27, 30, 31, 32, 37, 40, 45, 51, 53, 56], "733333": [9, 15, 17, 18], "183333": 9, "050000": 9, "36": [9, 16, 17, 18, 19, 20, 21, 22, 24, 25, 31, 32, 35, 37, 40, 41, 46, 48, 49, 50, 51, 55], "533333": 9, "516667": 9, "scalar": 9, "float": [9, 22, 25, 28, 32, 51, 58, 59], "typeerror": [9, 32, 58, 59], "ipython": [9, 13, 14, 15, 16, 17, 18, 19, 21, 29, 33, 34, 38, 39, 43, 44, 45, 47, 55, 58, 59], "129": [9, 16, 19, 51], "7c9875858560": 9, "modul": [9, 10, 13, 14, 15, 21, 25, 36, 39, 43, 45, 46, 47, 49, 50, 51, 52, 53, 54, 55, 56], "130": [9, 13, 14, 15, 16, 17, 18, 20, 25, 28, 43, 46, 54], "4550bed00aba": 9, "anaconda3": 9, "lib": [9, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 32, 34, 35, 37, 38, 40, 41, 48, 51, 58, 59, 60], "python3": [9, 10, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 32, 34, 35, 37, 38, 40, 41, 48, 51, 58, 59, 60], "py": [9, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 30, 32, 34, 35, 37, 38, 40, 41, 48, 49, 51, 54, 55, 56, 58, 59, 60], "func": [9, 18, 19, 22, 28, 48], "result_typ": 9, "arg": [9, 15, 18, 28, 34, 36, 37, 48, 58, 59], "kwd": [9, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 58, 59, 60], "6926": 9, "6927": 9, "6928": 9, "op": [9, 21, 34], "get_result": 9, "6929": 9, "6930": 9, "def": [9, 14, 15, 16, 17, 19, 20, 21, 22, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 36, 38, 40, 41, 48, 50, 51, 52, 53, 54, 55, 56, 58, 59], "184": [9, 28, 31, 32, 34, 40, 49], "apply_raw": 9, "185": [9, 28, 31], "186": [9, 28, 31, 32, 37, 41], "apply_standard": 9, "187": [9, 15, 19, 28, 31, 32], "188": [9, 13, 15, 19, 28, 31, 40, 54], "apply_empty_result": 9, "290": [9, 31, 34, 35, 41], "291": [9, 19, 23, 31, 34, 35], "292": [9, 31, 34], "apply_series_gener": 9, "293": [9, 31, 34], "294": [9, 17, 29, 34, 55], "wrap": [9, 18, 37], "319": [9, 14, 17], "320": [9, 17, 41], "v": [9, 13, 16, 21, 29, 38, 55, 59], "enumer": [9, 23, 29, 55], "series_gen": 9, "321": 9, "322": [9, 51], "kei": [9, 10, 11, 12, 14, 16, 17, 18, 20, 21, 22, 23, 28, 29, 31, 32, 34, 43, 46, 47, 48, 49, 54, 55, 60], "323": 9, "wrapper": [9, 25, 48, 51, 56], "len": [9, 15, 17, 20, 21, 22, 23, 24, 25, 27, 28, 29, 30, 31, 32, 34, 36, 40, 41, 46, 48, 49, 50, 51, 53, 54, 55, 56, 58, 59], "convert": [9, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 29, 31, 32, 34, 35, 37, 38, 44, 45, 48, 49, 50, 55, 60], "131": [9, 17, 28, 31, 37, 54], "str": [9, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 29, 31, 32, 34, 35, 36, 38, 40, 41, 46, 48, 50, 51, 55, 58, 59, 60], "132": [9, 23, 28, 41, 49, 54, 56], "133": [9, 20, 28, 40, 46, 54], "__name__": [9, 19, 31, 45], "__": 9, "df_float_1": 9, "anoth": [9, 11, 13, 14, 16, 19, 20, 21, 23, 24, 26, 27, 28, 31, 32, 33, 41, 45, 47, 49, 50, 52, 54], "doc": [9, 10, 13, 24, 25, 29, 30, 34, 38, 51, 52, 55, 56], "exist": [9, 21, 32, 39, 54], "df_float_2": 9, "astyp": [9, 31, 32, 38], "altern": [9, 11, 20, 26, 36, 46], "timeit": [9, 30, 56], "948": [9, 43], "\u00b5s": [9, 56], "37": [9, 17, 18, 19, 22, 25, 31, 32, 35, 37, 40, 41, 43, 48, 51, 54, 55], "dev": [9, 15, 30, 56], "1000": [9, 15, 16, 19, 20, 21, 22, 25, 29, 30, 31, 32, 33, 34, 38, 43, 45, 46, 48, 51, 55, 56], "ms": [9, 13, 30, 56], "85": [9, 14, 15, 18, 21, 22, 23, 24, 30, 31, 42, 44, 48, 49, 50, 51, 54], "100": [9, 14, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 29, 30, 31, 32, 36, 37, 38, 40, 41, 44, 45, 46, 48, 49, 51, 52, 53, 55, 56], "andrea": 10, "m\u00fcller": 10, "scikit": [10, 11, 12, 14, 16, 19, 20, 21, 23, 25, 26, 27, 28, 30, 31, 32, 43, 45, 46, 47, 49, 51, 54, 56, 58], "scientist": [10, 13, 27, 53], "interact": [10, 13, 16, 19, 20, 21, 24, 26, 27, 28, 31, 45, 46, 47, 50, 53, 54, 58, 59], "panda": [10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60], "lesson": [10, 17, 25, 43, 51], "Of": [10, 13, 18, 43, 46], "dsci": [10, 24], "511": [10, 32], "old": [10, 13, 23, 28, 38, 49], "cpsc": [10, 11, 14, 23, 25, 29, 30, 31, 49, 51, 55, 56, 57, 58], "330": [10, 11, 14, 18, 25, 31, 34, 37, 41, 49, 51, 54, 55, 56, 57, 58], "swcarpentri": 10, "novic": 10, "inflamm": 10, "www": [10, 19], "codecademi": 10, "dataquest": 10, "datacamp": 10, "cheat": 10, "sheet": 10, "learnxinyminut": 10, "numpi": [10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60], "quickstart": 10, "ucsb": 10, "edu": [10, 54], "che210d": 10, "pdf": 10, "pcarter": 10, "cs189": 10, "cs189_ch7": 10, "html": [10, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 30, 32, 33, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 48, 49, 56], "coursera": 10, "org": [10, 13, 15, 17, 18, 20, 21, 22, 23, 25, 29, 30, 35, 36, 37, 38, 39, 40, 41, 43, 46, 48, 49, 51, 55, 56], "udac": 10, "foundat": [10, 12, 21, 22, 24, 48, 50], "ud036": 10, "principl": [10, 12, 14], "dabeaz": 10, "capabl": 10, "ng": [10, 20, 25, 51], "famou": [10, 30, 38, 55, 56], "bloomberg": 10, "ai": [10, 13, 21, 25, 30, 33, 34, 39, 51, 55, 56], "translat": [10, 13, 33], "insid": [10, 18, 21, 44, 45, 47], "box": [10, 24, 50], "versu": 10, "statist": [10, 13, 14, 19, 24, 28, 32, 33, 45, 54], "awesom": [10, 29, 55], "slide": [10, 17, 52, 57], "deck": 10, "directori": [11, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 36, 38, 40, 41, 48, 60], "2023w1": [11, 13, 18, 41, 49, 54, 55, 56], "updat": [11, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 43, 44, 48, 49, 52, 59, 60], "plan": [11, 13, 22, 25, 29, 32, 48, 51, 57], "conflict": [11, 21, 27, 45, 53, 57], "smoothli": 11, "sourc": [11, 13, 14, 15, 16, 17, 18, 20, 23, 24, 25, 26, 27, 28, 29, 30, 40, 43, 44, 46, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59], "wide": [11, 19, 20, 23, 25, 30, 45, 49, 51, 56], "miniconda": 11, "scipi": [11, 20, 27, 46, 52, 53, 55], "suitabl": [11, 12, 13, 26, 52], "miniconda3": [11, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 32, 34, 35, 37, 38, 40, 41, 48, 51, 58, 59, 60], "maxosx": 11, "bit": [11, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 28, 29, 30, 31, 32, 36, 38, 40, 46, 49, 50, 52, 55, 56], "pkg": 11, "correctli": [11, 14, 15, 21, 59], "macbook": 11, "restart": [11, 58], "prepend": 11, "prompt": [11, 57], "kvarada": [11, 13, 14, 15, 18, 24, 25, 29, 37, 41, 58, 59], "w": [11, 15, 18, 19, 22, 26, 29, 31, 34, 45, 48, 52, 55], "kvarada01": 11, "confirm": 11, "greater": [11, 25, 26, 29, 51, 52, 55], "menu": 11, "anaconda": [11, 24, 25, 29, 50, 55], "user": [11, 13, 14, 15, 17, 18, 20, 23, 24, 25, 26, 27, 29, 32, 33, 37, 41, 46, 49, 52, 53, 58, 59, 60], "your_nam": 11, "wrong": [11, 13, 15, 19, 22, 25, 26, 32, 37, 48, 51, 52, 58], "uninstal": 11, "opt": [11, 23, 51], "again": [11, 13, 14, 15, 17, 27, 28, 29, 30, 32, 35, 36, 37, 38, 53, 54, 55, 56, 58, 59], "through": [11, 13, 14, 16, 21, 22, 25, 27, 28, 29, 30, 40, 41, 51, 53, 55, 56, 59], "thorough": [11, 12], "stabil": 11, "delai": [11, 13, 25, 28, 51], "fewer": [11, 23, 25, 27, 51, 53], "driven": [11, 20, 21, 28, 46, 47, 54], "forg": [11, 21, 22, 23, 24, 25, 49, 50, 51, 55, 58, 59], "enabl": [11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 58, 59, 60], "access": [11, 13, 15, 17, 18, 20, 23, 26, 28, 29, 31, 34, 45, 46, 49, 52, 54, 55, 58], "config": 11, "analys": 11, "spellcheck": 11, "nb_conda_kernel": 11, "script": [11, 13, 38], "certain": [11, 13, 16, 19, 20, 21, 24, 25, 26, 29, 32, 39, 43, 46, 50, 52, 55, 58], "tensorflow": [11, 24, 30, 50, 56], "project": [11, 17, 21, 22, 23, 30, 48, 56, 57], "affect": [11, 16, 17, 19, 20, 21, 26, 31, 32, 43, 45, 46, 52], "env": [11, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 32, 34, 35, 37, 38, 40, 41, 48, 51, 58, 59, 60], "small": [11, 13, 15, 16, 18, 20, 22, 23, 24, 25, 26, 28, 30, 32, 36, 37, 40, 41, 46, 48, 49, 50, 51, 52, 54, 56], "bootstrap": 11, "navig": [11, 13], "cpsc330env": 11, "yml": 11, "environemnt": 11, "successfulli": [11, 13, 25, 51, 58], "deactiv": 11, "lab": [11, 13, 14, 15, 26, 58, 59], "browser": 11, "newli": [11, 17, 22, 25, 27, 51, 53], "screenshot": 11, "prefer": [11, 13, 23, 26, 28, 52, 54], "manual": [11, 13, 18, 21, 25, 26, 27, 29, 36, 47, 51, 53, 55], "later": [11, 13, 14, 18, 21, 30, 31, 44, 47, 56], "rid": [11, 18, 23, 24, 29, 32, 37, 49, 50, 55], "miss": [11, 13, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 28, 31, 32, 34, 37, 38, 39, 42, 43, 47, 48, 49, 50, 51, 52, 57], "pip": [11, 25, 28, 34, 51, 54, 58], "yet": [11, 13, 19, 31, 32, 34, 37, 57], "troubl": 11, "md": [11, 13, 14, 29, 55], "dive": [12, 59], "concept": [12, 14, 15, 25, 31, 37, 51, 57], "learner": [12, 13, 15, 16, 23, 49], "expertis": [12, 51], "equip": [12, 16, 32], "particip": [12, 13, 57], "span": [12, 29, 55], "supervis": [12, 17, 18, 20, 21, 22, 25, 27, 29, 31, 32, 34, 42, 43, 46, 48, 51, 53, 55, 57], "level": [12, 16, 19, 21, 22, 23, 24, 25, 27, 28, 29, 30, 31, 39, 41, 45, 48, 49, 50, 51, 53, 54, 55, 56], "throughout": [12, 13, 15], "emphasi": [12, 57], "skill": [12, 13, 23], "variou": [12, 13, 22, 24, 30, 31, 32, 50, 56, 58, 59, 60], "task": [12, 17, 18, 19, 20, 24, 25, 26, 28, 30, 31, 33, 34, 36, 50, 51, 52, 56, 58, 59, 60], "trade": [12, 19, 21, 25, 26, 42, 45, 47, 51, 52], "off": [12, 13, 19, 21, 22, 25, 26, 29, 30, 32, 36, 40, 41, 42, 43, 45, 46, 47, 48, 51, 52, 55, 56], "complex": [12, 14, 16, 19, 20, 22, 23, 24, 25, 27, 29, 30, 31, 36, 43, 45, 46, 48, 49, 50, 51, 52, 53, 55, 56, 58, 59], "identifi": [12, 14, 15, 16, 17, 20, 21, 22, 26, 27, 28, 29, 31, 34, 38, 41, 43, 44, 46, 47, 48, 50, 52, 53, 54, 55], "techniqu": [12, 16, 20, 25, 28, 30, 32, 46, 51, 54, 56, 59], "scenario": [12, 15, 18, 23, 24, 25, 27, 31, 32, 42, 50, 51, 53], "integr": 12, "intuit": [12, 13, 14, 16, 17, 18, 20, 22, 24, 25, 26, 27, 28, 32, 33, 46, 50, 51, 52, 53, 54], "differenti": [12, 14], "accuraci": [12, 14, 15, 16, 17, 20, 21, 23, 24, 25, 27, 28, 30, 32, 34, 35, 36, 39, 42, 46, 47, 49, 50, 51, 53, 54, 56, 57, 59], "precis": [12, 13, 22, 42, 48, 49], "recal": [12, 14, 15, 16, 17, 18, 19, 22, 26, 28, 37, 38, 39, 42, 48, 49, 51, 52, 54, 58, 60], "f1": [12, 22, 42], "score": [12, 13, 16, 17, 18, 23, 24, 27, 30, 31, 32, 33, 34, 35, 36, 37, 38, 42, 43, 44, 45, 49, 50, 53, 56, 58, 59], "ap": [12, 42], "auc": [12, 32], "roc": 12, "absolut": [12, 13, 19, 21, 22, 24, 25, 26, 37, 38, 48, 50, 51, 52], "r": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 45, 58, 59, 60], "context": [12, 14, 17, 19, 20, 21, 23, 24, 25, 27, 28, 29, 30, 33, 42, 43, 45, 47, 49, 50, 51, 53, 54, 55, 56], "perform": [12, 13, 14, 15, 16, 17, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 31, 36, 38, 39, 43, 46, 47, 48, 49, 50, 51, 52, 53, 55, 59, 60], "signific": [12, 17, 37], "improv": [12, 14, 20, 21, 22, 23, 26, 27, 28, 31, 32, 33, 34, 35, 37, 46, 47, 49, 52, 53, 54], "contrast": 12, "recurs": 12, "elimin": 12, "analyz": [12, 13, 21, 25, 32, 38, 47, 49, 51], "averag": [12, 13, 15, 16, 18, 19, 20, 22, 24, 25, 26, 32, 38, 42, 44, 45, 46, 47, 48, 50, 51, 52, 58], "forest": [12, 13, 21, 22, 30, 31, 32, 42, 48, 56], "lgbm": [12, 23, 42, 49], "catboost": [12, 24, 42, 50], "advantag": [12, 17, 18, 19, 23, 27, 38, 42, 45, 49, 53], "mitig": 12, "hierarch": 12, "dbscan": 12, "segment": [12, 13, 21, 30, 32, 40, 56], "meaning": [12, 16, 18, 21, 24, 26, 29, 33, 36, 47, 50, 52, 55, 59], "delv": [12, 29, 55, 58], "word2vec": [12, 30, 56], "glove": [12, 29, 55], "captur": [12, 15, 17, 19, 23, 25, 27, 28, 31, 38, 49, 51, 53, 54], "semant": [12, 26, 27, 52, 53], "textual": 12, "drawback": [12, 24, 50], "superior": 12, "handl": [12, 13, 14, 16, 17, 18, 20, 22, 23, 24, 25, 27, 30, 32, 35, 38, 48, 49, 50, 52, 53, 60], "split": [12, 14, 16, 18, 19, 20, 22, 23, 25, 29, 34, 38, 42, 43, 44, 45, 46, 48, 49, 51, 55, 58, 59, 60], "conduct": 12, "forecast": [12, 14], "futur": [12, 13, 15, 17, 18, 20, 32, 43, 46], "grasp": 12, "trend": [12, 33], "irregular": 12, "interv": [12, 31, 32], "acquir": [12, 13, 58], "implic": [12, 17, 59], "special": [12, 13, 18, 28, 30, 31, 54, 56, 59], "approach": [12, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 29, 34, 36, 37, 43, 46, 47, 48, 49, 50, 51, 52, 55, 60], "lifelin": [12, 32], "kaplan": 12, "meier": 12, "cox": 12, "proport": [12, 14, 15, 18, 19, 21, 22, 23, 24, 39, 45, 47, 48, 49, 50, 52], "hazard": 12, "collect": [12, 13, 14, 17, 18, 20, 21, 23, 24, 25, 28, 29, 30, 31, 32, 37, 43, 44, 46, 47, 49, 50, 51, 54, 55, 56], "critic": [12, 31], "potenti": [12, 16, 17, 26, 52, 59, 60], "bias": [12, 21, 24, 32, 39, 50], "societ": 12, "impact": [12, 13, 18, 19, 23, 24, 27, 39, 50, 53, 58], "cultiv": 12, "advanc": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37, 38, 40, 41, 42, 44, 46, 52, 53, 54, 55, 56, 58, 59, 60], "tailor": [12, 26, 52], "divers": [12, 23, 28, 49, 54], "audienc": 12, "emphas": 12, "reader": [12, 13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 35, 38, 48, 54, 60], "centric": 12, "contextu": 12, "visual": [12, 14, 15, 16, 18, 19, 21, 22, 23, 24, 25, 26, 30, 31, 35, 38, 44, 46, 48, 49, 50, 51, 52, 54, 56, 59], "clariti": 12, "convei": 12, "stakehold": 12, "matplotlib": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 30, 31, 32, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 58, 59, 60], "os": [13, 14, 15, 18, 19, 20, 21, 23, 24, 25, 26, 27, 28, 29, 30, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 49, 50, 51, 52, 53, 54, 55, 56], "sy": [13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 25, 26, 27, 28, 29, 30, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60], "abspath": [13, 23, 24, 26, 27, 28, 29, 30, 34, 37, 39, 40, 41, 46, 47, 49, 50, 52, 53, 54, 55, 56], "feature_extract": [13, 18, 19, 20, 21, 25, 29, 33, 34, 37, 38, 44, 45, 46, 51, 55], "countvector": [13, 19, 20, 21, 25, 29, 33, 34, 37, 38, 42, 44, 45, 46, 51, 55, 60], "linear_model": [13, 19, 21, 22, 23, 24, 25, 28, 29, 30, 31, 32, 34, 38, 39, 42, 45, 47, 48, 49, 50, 51, 54, 55, 56], "logisticregress": [13, 19, 22, 23, 24, 25, 29, 30, 34, 38, 39, 42, 45, 48, 49, 50, 51, 55, 56], "model_select": [13, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 28, 30, 31, 32, 34, 35, 36, 37, 38, 39, 42, 43, 44, 45, 47, 48, 49, 50, 51, 54, 56, 59, 60], "train_test_split": [13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 28, 30, 31, 32, 34, 35, 36, 37, 38, 39, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 54, 56, 59, 60], "make_pipelin": [13, 18, 19, 20, 21, 22, 23, 24, 25, 29, 30, 31, 32, 34, 37, 38, 39, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 55, 56], "rcparam": [13, 14, 21, 26, 27, 28, 30, 31, 32, 41, 52, 53, 54, 56], "font": [13, 14, 26, 27, 28, 31, 32, 52, 53, 54], "size": [13, 14, 15, 18, 20, 21, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 36, 41, 45, 46, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58], "set_opt": [13, 14, 15, 16, 17, 18, 19, 20, 21, 27, 28, 35, 37, 38, 39, 43, 44, 45, 46, 47, 53, 54, 59, 60], "max_colwidth": [13, 14, 15, 16, 17, 18, 19, 20, 21, 27, 28, 35, 37, 38, 39, 43, 44, 45, 46, 47, 53, 54, 59, 60], "200": [13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 25, 27, 28, 29, 30, 33, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 49, 51, 52, 53, 54, 55, 56, 58, 59, 60], "intel": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 58, 59, 60], "mkl": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 58, 59, 60], "stream": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 58, 59, 60], "simd": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 58, 59, 60], "extens": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 53, 54, 55, 58, 59, 60], "sse4": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 58, 59, 60], "processor": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 58, 59, 60], "deprec": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 58, 59, 60], "oneapi": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 58, 59, 60], "2025": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 58, 59, 60], "vector": [13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 43, 44, 50, 52, 54, 56, 58, 59, 60], "avx": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 44, 58, 59, 60], "motiv": [13, 18, 44, 52], "studi": [13, 18, 25, 29, 32, 51, 55], "coordin": [13, 57], "enthusiast": 13, "And": [13, 14, 20, 22, 29, 31, 32, 39, 48, 55], "\u028b\u0259\u027e\u0259da": 13, "k\u0254\u02d0l\u0266\u0259\u0288k\u0259r": 13, "ada": 13, "am": [13, 17, 25, 28, 29, 38, 55], "assist": 13, "professor": 13, "linguist": [13, 18], "toronto": [13, 25, 29], "primarili": [13, 14, 24, 30, 50, 56, 60], "third": [13, 27, 53], "contact": [13, 57], "email": [13, 15, 21, 33, 47, 57], "icc": 13, "237": [13, 21, 41], "andi": [13, 54], "pathlog": 13, "laboratori": 13, "medicin": 13, "cancer": [13, 25, 28, 55], "bioinformat": 13, "biologi": [13, 18], "aroth": 13, "339": [13, 21, 40], "research": [13, 15, 20, 28, 33, 54], "year": [13, 14, 28, 29, 30, 31, 32, 34, 38, 55, 56, 59], "ago": [13, 28, 30, 31, 38, 56], "her": [13, 28, 29, 38, 54, 55], "prior": [13, 26, 31, 33, 52], "she": [13, 25, 28, 38, 51, 54, 55], "role": [13, 19, 20, 24, 30, 45, 50, 56], "advis": 13, "experi": [13, 17, 20, 40, 41, 46, 57, 58], "spare": 13, "restaur": [13, 28, 37, 54], "vancouv": [13, 29, 55], "walk": [13, 21, 28, 38, 59], "hit": [13, 20, 46], "gym": 13, "vedant": 13, "2nd": [13, 16, 19, 44, 45], "msc": 13, "he": [13, 15, 18, 28, 38, 44, 55, 59], "hi": [13, 28, 29, 38, 55, 59], "area": [13, 20, 22, 23, 25, 26, 48, 49, 51, 52], "aim": [13, 37], "personalis": 13, "intellig": [13, 29, 34, 55], "tutor": 13, "cognit": 13, "abil": [13, 18, 20, 24, 29, 31, 38, 50, 52, 55], "tedx": 13, "speaker": 13, "bachelor": [13, 21, 23, 24, 39, 49, 50], "psycholog": [13, 18, 42, 44], "brought": [13, 38], "world": [13, 16, 17, 18, 19, 20, 21, 24, 25, 26, 27, 28, 29, 30, 38, 43, 46, 47, 49, 50, 51, 52, 53, 54, 55, 56, 58], "explor": [13, 14, 15, 20, 21, 24, 25, 29, 30, 34, 35, 36, 38, 41, 47, 50, 51, 55, 56, 58, 59, 60], "cafe": 13, "town": [13, 25, 51], "4th": [13, 21, 23, 24, 39, 49, 50], "bsc": 13, "internship": 13, "competit": [13, 23, 28, 30, 49, 54, 56], "boulder": 13, "organ": [13, 14, 17, 29, 43, 55], "wic": 13, "nwplu": 13, "meng": 13, "ec": 13, "daoai": 13, "robot": [13, 29, 55], "inc": [13, 24, 29, 50, 55], "camera": [13, 18, 44], "focus": [13, 19, 26, 45, 51, 52], "biomed": 13, "phd": [13, 29, 55], "track": [13, 18, 59], "rare": [13, 18, 21, 22, 26, 47, 48, 51, 52], "simul": [13, 25, 51], "estim": [13, 15, 16, 18, 19, 20, 25, 26, 32, 35, 37, 42, 44, 46, 51, 52, 60], "probabl": [13, 16, 17, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 37, 38, 42, 43, 46, 47, 49, 50, 51, 52, 53, 54, 55, 56], "happi": [13, 21, 26, 32, 35, 52, 58], "emac": 13, "revolv": 13, "variat": [13, 15, 19, 21, 22, 25, 51], "autoencod": 13, "extract": [13, 25, 26, 28, 30, 33, 34, 36, 40, 41, 51, 52, 54, 56, 57], "prostat": 13, "tumor": 13, "sampl": [13, 14, 16, 17, 19, 20, 24, 27, 28, 30, 31, 32, 36, 40, 41, 43, 46, 47, 50, 53, 54, 56], "sequenc": [13, 15, 18, 30, 31, 33, 56], "3rd": [13, 29, 55], "direct": [13, 19, 24, 25, 27, 38, 50, 51, 53], "chemistri": 13, "hold": [13, 24, 37], "miraterra": 13, "novel": [13, 38], "sensor": 13, "carbon": 13, "verif": 13, "mrv": 13, "optic": [13, 32], "vibrat": 13, "spectroscopi": 13, "signal": [13, 15, 29, 55], "bio": 13, "harvard": 13, "school": [13, 21, 23, 24, 28, 39, 49, 50, 54], "laser": 13, "particl": 13, "lp": 13, "among": [13, 14, 20, 21, 23, 24, 28, 46, 47, 50, 54], "buzz": 13, "curios": 13, "curiou": 13, "spend": [13, 17, 25, 37, 51], "semest": [13, 57], "fill": [13, 14, 16, 19, 20, 28, 35, 37, 45, 46, 54, 55, 56, 57, 58, 59, 60], "chanc": [13, 14, 15, 20, 21, 22, 25, 26, 39, 46, 47, 51, 52, 59], "webpag": 13, "readm": [13, 32], "welcom": [13, 15, 57, 58, 59], "reflect": [13, 22, 24, 29, 38, 48, 50, 55, 59], "great": [13, 14, 16, 18, 19, 24, 25, 27, 28, 29, 30, 31, 37, 38, 50, 51, 52, 55, 56], "takeawai": [13, 14, 15, 31], "struggl": [13, 14, 15], "address": [13, 14, 15, 27, 28, 38, 53, 58], "let": [13, 14, 15, 19, 20, 23, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 38, 41, 42, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 55, 56, 57, 59, 60], "voic": 13, "face": [13, 14, 16, 30, 36, 56], "auto": [13, 20, 21, 25, 26, 40, 41, 51, 52], "stock": [13, 31], "market": [13, 26, 30, 31, 52], "alphago": [13, 26, 52], "drive": [13, 24, 38, 50], "car": [13, 29, 55], "drug": 13, "discoveri": 13, "detect": [13, 14, 21, 22, 26, 27, 28, 30, 31, 33, 39, 47, 48, 52, 53, 56], "identif": [13, 25, 51], "consum": [13, 25, 26, 28, 41, 51, 52, 54], "robust": [13, 15, 16, 17, 20, 23, 27, 35, 37, 43, 46, 53], "larg": [13, 15, 16, 17, 19, 21, 22, 26, 27, 28, 29, 30, 35, 38, 42, 43, 45, 47, 48, 51, 52, 53, 54, 55, 56], "gmail": [13, 26, 52], "unsupervis": [13, 28, 30, 34, 54, 56, 57], "pattern": [13, 14, 15, 18, 20, 25, 26, 28, 29, 31, 46, 51, 52, 55, 59], "unlabel": [13, 15, 27, 53], "reinforc": [13, 26, 52, 58, 59, 60], "famili": [13, 21, 22, 24, 26, 43, 46, 48, 49, 50, 52, 57, 59], "maxim": [13, 21, 22, 26, 28, 48, 52, 54], "reward": [13, 18, 26, 33, 44, 52], "amazon": [13, 25, 26, 28, 51, 52, 54], "item": [13, 23, 24, 26, 29, 30, 33, 34, 49, 50, 52, 54, 55, 56], "rate": [13, 19, 21, 23, 24, 26, 38, 39, 47, 49, 52], "compris": [13, 14, 26, 52, 58], "observ": [13, 14, 15, 23, 24, 26, 31, 32, 49, 50, 51, 52, 58, 59], "wish": [13, 14, 26, 52, 57], "worri": [13, 27, 28, 53, 54], "sm": [13, 18, 44], "sms_df": 13, "csv": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 28, 29, 30, 31, 32, 34, 35, 37, 38, 39, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 54, 55, 56, 60], "encod": [13, 14, 15, 16, 20, 21, 22, 23, 24, 28, 30, 32, 33, 34, 35, 37, 38, 39, 45, 47, 48, 50, 52, 54, 56, 58, 59, 60], "latin": [13, 21, 39, 47], "drop": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 31, 32, 35, 37, 38, 39, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 60], "column": [13, 14, 15, 16, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 33, 34, 35, 36, 37, 38, 39, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 59, 60], "unnam": [13, 38], "renam": [13, 21, 31], "v1": [13, 21, 34, 39, 47], "v2": [13, 21, 39, 47], "train_df": [13, 17, 18, 19, 21, 22, 23, 24, 25, 31, 32, 34, 38, 39, 43, 45, 47, 48, 49, 50, 51, 58], "test_df": [13, 17, 18, 19, 21, 22, 23, 24, 25, 31, 32, 34, 38, 39, 43, 45, 47, 48, 49, 50, 51], "test_siz": [13, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 28, 30, 31, 34, 35, 37, 38, 39, 43, 44, 45, 46, 47, 48, 49, 50, 51, 54, 56, 59, 60], "random_st": [13, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60], "to_html": [13, 14, 15], "index": [13, 14, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 47, 48, 49, 50, 51, 53, 54, 55, 56, 58, 59], "filenotfounderror": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 40, 41, 48, 60], "parser": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 29, 34, 35, 38, 48, 55, 60], "912": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "filepath_or_buff": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "delimit": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "header": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "usecol": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "true_valu": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "false_valu": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "skipinitialspac": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "skiprow": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "skipfoot": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "nrow": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "na_valu": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "keep_default_na": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "na_filt": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "verbos": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 35, 38, 48, 49, 50, 54, 60], "skip_blank_lin": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "infer_datetime_format": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "keep_date_col": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "date_pars": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "date_format": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "dayfirst": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "cache_d": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "iter": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 27, 28, 30, 34, 35, 36, 38, 40, 41, 46, 48, 51, 53, 56, 58, 59, 60], "chunksiz": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "compress": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 35, 37, 38, 48, 52, 55, 60], "thousand": [13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 35, 38, 48, 53, 60], "decim": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 58, 59, 60], "linetermin": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "quotechar": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "quot": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 35, 38, 48, 60], "doublequot": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "escapechar": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "encoding_error": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "dialect": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "on_bad_lin": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "delim_whitespac": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "low_memori": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "memory_map": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "float_precis": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "storage_opt": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "dtype_backend": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "899": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 43, 46, 60], "kwds_default": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "_refine_defaults_read": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "900": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 33, 35, 38, 44, 46, 60], "901": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "908": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 33, 35, 38, 60], "909": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "910": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "_read": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "577": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "574": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "_validate_nam": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "576": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "textfileread": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "579": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "580": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 30, 35, 38, 60], "1407": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 51, 60], "__init__": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 40, 41, 48, 60], "1404": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 32, 35, 38, 60], "has_index_nam": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "1406": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "iohandl": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "_engin": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "_make_engin": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "1661": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "1659": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "mode": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 43, 46, 48, 50, 60], "1660": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "get_handl": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "1662": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "1663": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "1664": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "1665": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "1666": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "1667": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "is_text": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "1668": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "strict": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "1669": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "1670": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "1671": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 34, 35, 38, 60], "1672": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "859": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "path_or_buf": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "854": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "elif": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 31, 32, 35, 38, 48, 60], "isinst": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 32, 34, 35, 38, 48, 58, 60], "855": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "filenam": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 35, 38, 48, 54, 58, 59, 60], "binari": [13, 14, 16, 17, 18, 19, 20, 22, 23, 24, 25, 30, 32, 35, 37, 38, 39, 42, 43, 44, 47, 48, 50, 56, 60], "856": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 46, 60], "newlin": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "857": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 46, 48, 60], "ioarg": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 48, 60], "858": [13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 35, 38, 60], "860": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 49, 60], "861": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "862": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "863": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "864": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 49, 60], "865": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "866": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "els": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 28, 30, 31, 32, 34, 35, 36, 38, 39, 40, 41, 48, 51, 56, 60], "867": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "868": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 60], "errno": [13, 14, 16, 17, 18, 20, 21, 22, 23, 24, 25, 35, 38, 40, 41, 48, 60], "x_train": [13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 28, 30, 31, 32, 34, 35, 36, 37, 38, 39, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 54, 56, 59, 60], "y_train": [13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 28, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 54, 56, 59, 60], "x_test": [13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 30, 31, 32, 34, 35, 37, 38, 39, 43, 45, 46, 47, 48, 49, 50, 51, 56, 59, 60], "y_test": [13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 30, 31, 32, 34, 35, 37, 38, 39, 43, 45, 46, 47, 48, 49, 50, 51, 56, 59, 60], "clf": [13, 14, 16, 19, 30, 45, 56, 58], "max_featur": [13, 18, 20, 23, 37, 38, 44, 45, 46, 49, 60], "5000": [13, 14, 38], "max_it": [13, 21, 23, 24, 25, 29, 30, 31, 32, 34, 38, 39, 47, 49, 50, 51, 52, 55, 56], "datafram": [13, 14, 15, 16, 17, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59], "3245": 13, "funni": [13, 23, 25, 51], "fact": [13, 20, 21, 23, 28, 30, 31, 32, 56], "nobodi": [13, 38], "volcano": 13, "erupt": 13, "tsunami": 13, "hurrican": 13, "swai": 13, "aroundn": 13, "choos": [13, 20, 21, 23, 27, 30, 46, 47, 49, 53, 56], "wife": [13, 21, 24, 38, 49, 50], "disast": 13, "944": 13, "sent": [13, 29, 55], "sopha": 13, "had": [13, 17, 18, 19, 21, 28, 30, 31, 32, 34, 38, 44, 55, 56, 59, 60], "secondari": 13, "joke": 13, "ogunrind": 13, "m": [13, 15, 20, 22, 23, 24, 25, 27, 28, 29, 30, 31, 32, 34, 36, 37, 38, 40, 41, 46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 59], "1044": 13, "someon": [13, 14, 15, 25, 32, 38, 51], "09058097218": 13, "pobox": 13, "ls15hb": 13, "150p": 13, "2484": 13, "promis": [13, 28, 29, 31, 34, 49, 55], "ok": [13, 16, 22, 29, 31, 32, 42, 48, 55, 58, 59], "pred_dict": 13, "spam_predict": 13, "pred_df": [13, 28, 54], "set_properti": 13, "nbsp": 13, "ham": 13, "expens": [13, 21, 22, 25, 26, 28, 29, 51, 52, 54, 55], "accur": [13, 15, 23, 24, 25, 28, 49, 50, 51, 54], "arthur": 13, "samuel": 13, "1959": [13, 35], "concret": 13, "suppos": [13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 25, 26, 27, 28, 29, 32, 43, 44, 45, 46, 49, 50, 51, 52, 54, 55, 58], "df": [13, 14, 15, 17, 18, 20, 21, 22, 24, 25, 29, 30, 31, 32, 34, 35, 37, 43, 44, 46, 47, 48, 50, 51, 55, 56], "indian_liver_pati": 13, "gender": [13, 18, 21, 29, 32, 39, 55], "replac": [13, 17, 21, 23, 24, 28, 32, 37, 38, 39, 43, 49, 50, 51, 54], "ag": [13, 19, 21, 22, 23, 24, 28, 37, 39, 41, 48, 49, 50, 54, 58], "total_bilirubin": 13, "direct_bilirubin": 13, "alkaline_phosphotas": 13, "alamine_aminotransferas": 13, "aspartate_aminotransferas": 13, "total_protien": 13, "albumin": 13, "albumin_and_globulin_ratio": 13, "358": [13, 20, 23], "256": [13, 30, 41, 56], "80": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 25, 27, 29, 31, 32, 34, 36, 37, 40, 42, 44, 45, 46, 48, 50, 51, 53, 55], "71": [13, 14, 15, 18, 19, 21, 22, 26, 31, 32, 48, 52], "171": [13, 30, 40], "199": [13, 16, 18, 21, 37], "lightgbm": [13, 24, 50], "lgbmclassifi": [13, 23, 24, 49, 50], "rerun": [13, 17, 18, 20, 21, 22, 23, 25, 30, 35, 36, 37, 38, 39, 40, 41, 43, 46, 48, 49, 56], "represent": [13, 14, 17, 20, 21, 22, 23, 25, 26, 27, 35, 36, 37, 38, 39, 40, 41, 42, 43, 46, 48, 49, 51, 52, 53, 60], "trust": [13, 17, 18, 20, 21, 22, 23, 24, 25, 28, 30, 35, 36, 37, 38, 39, 40, 41, 43, 46, 48, 49, 50, 54, 56], "unabl": [13, 17, 18, 20, 21, 22, 23, 25, 27, 30, 35, 36, 37, 38, 39, 40, 41, 43, 46, 48, 49, 53, 56, 57], "nbviewer": [13, 17, 18, 20, 21, 22, 23, 25, 30, 35, 36, 37, 38, 39, 40, 41, 43, 46, 48, 49, 56], "lgbmclassifierlgbmclassifi": 13, "reset_index": [13, 24, 31, 50], "178": [13, 22, 48], "719": [13, 17, 25, 28, 54], "157": [13, 20, 46], "108": [13, 28, 40], "214": [13, 20, 46], "412": [13, 43, 46], "850": [13, 23, 24, 49, 50], "78": [13, 14, 15, 17, 18, 21, 22, 25, 31, 32, 42, 44, 48, 51, 56], "162": [13, 40], "155": [13, 20, 46], "predicted_target": 13, "tolist": [13, 14, 15, 18, 19, 21, 22, 23, 24, 25, 26, 31, 32, 33, 34, 35, 36, 37, 44, 45, 48, 49, 50, 51, 52, 59], "df_concat": 13, "concat": [13, 16, 17, 18, 19, 24, 43, 45, 50], "conda": [13, 21, 22, 23, 24, 25, 26, 29, 33, 34, 40, 41, 49, 50, 51, 52, 55, 58, 59], "instal": [13, 14, 16, 21, 22, 23, 24, 25, 26, 28, 29, 34, 40, 41, 49, 50, 51, 52, 54, 55, 58, 59], "torchvis": [13, 30, 36, 40, 41, 56], "laptop": [13, 15, 24, 50, 51], "crucial": [13, 15, 19, 24, 26, 27, 29, 45, 50, 52, 53, 55], "pytorch": [13, 30, 40, 41, 56], "img_classifi": 13, "pil": [13, 30, 36, 40, 41, 56], "glob": [13, 30, 36, 40, 41, 49, 54, 56], "topn": [13, 30, 56], "test_imag": [13, 30, 56], "jpg": [13, 30, 36, 40, 41, 56], "class_labels_fil": 13, "imagenet_class": [13, 30, 56], "txt": [13, 30, 56], "img_path": 13, "img": [13, 30, 36, 40, 41, 56], "rgb": 13, "imshow": [13, 30, 36, 40, 41, 55, 56], "classify_imag": [13, 30, 56], "to_str": [13, 30, 56], "cheetah": [13, 30], "chetah": [13, 30], "acinonyx": [13, 30], "jubatu": [13, 30], "994": [13, 15], "leopard": [13, 30], "panthera": [13, 30], "pardu": [13, 30], "005": [13, 23, 24, 49, 50], "jaguar": [13, 30], "panther": [13, 30], "onca": [13, 30], "feli": [13, 30], "001": [13, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25, 30, 32, 34, 38, 46, 48, 49, 50, 51], "snow": [13, 30], "ounc": [13, 30], "uncia": [13, 30], "000": [13, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25, 29, 32, 34, 38, 46, 48, 49, 50, 51, 55], "tiger": [13, 30], "cat": [13, 21, 23, 25, 29, 30, 33, 36, 40, 41, 47, 49, 51, 55, 56], "636": [13, 17, 18, 43], "tabbi": [13, 30], "174": [13, 40, 43, 46], "pembrok": [13, 30], "welsh": [13, 30], "corgi": [13, 30], "081": [13, 51], "lynx": [13, 30], "catamount": [13, 30], "011": [13, 18, 23, 24, 25, 50, 51], "macaqu": [13, 30], "885": 13, "pata": [13, 30], "hussar": [13, 30], "monkei": [13, 30], "erythrocebu": [13, 30], "062": [13, 28, 43, 46, 54], "probosci": [13, 30], "nasali": [13, 30], "larvatu": [13, 30], "015": [13, 17, 18, 23, 24, 49, 50], "titi": 13, "010": [13, 19, 20, 23, 38, 46, 49], "walker": [13, 30], "hound": [13, 30], "foxhound": [13, 30], "582": [13, 23, 49], "english": [13, 17, 20, 21, 25, 29, 30, 34, 37, 38, 43, 46, 51, 55, 60], "144": [13, 20, 23, 40, 41, 46, 51], "beagl": [13, 30], "068": 13, "entlebuch": [13, 30], "059": [13, 15, 17], "neg": [13, 14, 15, 16, 19, 22, 23, 24, 25, 29, 31, 32, 34, 45, 48, 49, 50, 51, 55], "imdb_df": [13, 38], "imdb_mast": [13, 38], "iso": [13, 34, 38], "8859": [13, 34, 38], "startswith": [13, 24, 38, 50], "po": [13, 17, 18, 19, 22, 24, 25, 29, 34, 38, 48, 50, 51, 55], "inevit": 13, "onslaught": 13, "slasher": 13, "earli": [13, 15, 24, 28, 32, 50], "1980": 13, "slip": 13, "crack": 13, "film": [13, 25, 38, 51], "jeff": 13, "lieberman": 13, "insur": 13, "cult": 13, "statu": [13, 16, 21, 23, 24, 39, 49, 50], "memor": 13, "1970": [13, 19, 22, 31, 48], "squirm": 13, "blue": [13, 14, 16, 20, 21, 24, 25, 26, 31, 47, 50, 52], "sunshin": [13, 31], "lt": [13, 15, 17, 18, 20, 21, 22, 23, 24, 25, 46, 48, 49, 50, 51], "br": [13, 29, 38, 55], "gt": [13, 18, 19, 20, 21, 22, 23, 46, 48, 49], "five": [13, 20, 33, 46], "young": [13, 38, 59], "oregon": 13, "mountain": [13, 29, 55], "shot": [13, 25, 51], "camp": 13, "deed": 13, "land": [13, 32], "terror": 13, "bulki": 13, "killer": 13, "incred": [13, 30, 38, 56], "creepi": 13, "wheez": 13, "laugh": 13, "dawn": 13, "ambiti": 13, "arti": 13, "flesh": 13, "anywai": 13, "him": [13, 28, 55, 59], "genuin": 13, "suspens": [13, 38], "tension": 13, "refrain": 13, "graphic": [13, 30, 56], "gore": 13, "kill": [13, 32], "cast": [13, 25, 28, 34, 38, 51, 54], "oscar": [13, 19, 38], "winner": [13, 38], "georg": [13, 28, 29, 55], "kennedi": 13, "ranger": 13, "gone": 13, "flaki": [13, 21], "wilder": 13, "jack": 13, "lemmon": 13, "son": [13, 38], "chri": 13, "brian": 13, "de": [13, 29, 31, 55], "palma": 13, "regular": [13, 16, 18, 19, 23, 24, 29, 31, 32, 33, 49, 50, 51, 55], "gregg": 13, "henri": [13, 38], "blond": 13, "deborah": 13, "benson": 13, "known": [13, 32, 36, 58, 59], "judg": [13, 25, 51], "ralph": 13, "seymour": 13, "ghouli": 13, "kellin": 13, "sleepawai": 13, "jami": 13, "rose": [13, 29, 55], "chopper": 13, "chick": [13, 38], "zombietown": 13, "music": [13, 25, 28, 37, 38, 51, 54], "brad": 13, "feidel": 13, "theme": [13, 29, 55], "haunt": 13, "atmospher": 13, "worth": [13, 14, 16, 21, 22, 39, 48, 59], "catch": [13, 21, 47], "twist": 13, "although": [13, 15, 23, 26, 28, 32, 52, 54], "heroin": 13, "almost": [13, 19, 20, 22, 25, 27, 28, 29, 35, 44, 46, 51, 53, 54, 55], "comic": 13, "remind": 13, "viewer": 13, "cartoon": 13, "clever": 13, "touch": [13, 38], "dispatch": 13, "never": [13, 21, 24, 28, 30, 32, 38, 49, 50, 54, 56], "horror": 13, "didn": [13, 20, 23, 24, 27, 31, 32, 36, 46, 49, 50, 53, 55], "honestli": 13, "frighten": 13, "worthi": [13, 19], "noth": [13, 38, 58, 59], "tell": [13, 15, 16, 17, 19, 21, 24, 25, 28, 29, 31, 32, 33, 34, 38, 45, 47, 50, 51, 54, 55], "truth": [13, 23, 25, 26, 27, 28, 31, 49, 51, 52, 53, 54], "i\u00e2": 13, "stun": [13, 38], "disappoint": 13, "gui": 13, "love": [13, 25, 29, 38, 51, 55], "genr": 13, "surpris": [13, 24, 50], "\u00e2": 13, "kid\u00e2": 13, "nuditi": 13, "children": [13, 28, 38, 54], "curs": 13, "swear": 13, "righteou": 13, "far": [13, 14, 16, 17, 18, 19, 21, 24, 25, 26, 27, 28, 29, 31, 32, 33, 42, 43, 44, 45, 50, 51, 52, 53, 55], "account": [13, 15, 21, 25, 28, 47, 51, 52, 54], "synopsi": [13, 55], "stori": [13, 22, 23, 25, 28, 38, 48, 52, 54], "got": [13, 16, 19, 20, 21, 22, 28, 30, 38, 46, 48, 54, 56], "brother": 13, "reckless": 13, "behavior": [13, 17, 18, 21, 28, 47, 54], "met": [13, 28], "kid": [13, 29, 55], "boob": 13, "obsess": 13, "mediev": 13, "freak": 13, "though": [13, 15, 16, 18, 19, 25, 26, 27, 28, 37, 44, 49, 52, 53, 54], "humor": 13, "lame": 13, "haven\u00e2": 13, "plai": [13, 14, 16, 20, 24, 27, 29, 34, 50, 53, 55, 59], "mc": 13, "lovin\u00e2": 13, "sasquatch": 13, "gang": 13, "thrice": 13, "fell": [13, 19], "sleep": 13, "alright": 13, "screenplai": [13, 38], "act": [13, 19, 38, 57], "you\u00e2": 13, "hot": [13, 15, 18, 24, 28, 30, 37, 38, 44, 50, 56], "american": [13, 28, 37], "summer": [13, 28, 31, 54], "suck": 13, "somehow": [13, 28], "star": [13, 16, 25, 26, 28, 51, 54], "attract": [13, 29, 55], "horrend": 13, "felt": [13, 37], "riff": 13, "nake": 13, "scene": 13, "seem": [13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 31, 32, 38, 39, 40, 48, 49, 50, 51, 52, 54, 58, 59], "can\u00e2": 13, "anyon": [13, 17, 43], "pro": [13, 26, 28, 30, 52, 56], "elizabeth": 13, "bank": [13, 21, 24, 31, 32, 39, 50], "topless": 13, "con": [13, 26, 28, 30, 34, 38, 52, 55, 56], "Not": [13, 21, 22, 23, 24, 25, 26, 28, 31, 32, 39, 46, 49, 50, 51, 52, 54], "dread": 13, "mix": [13, 22, 48, 59], "thrown": 13, "job": [13, 27, 31, 32, 40, 52, 58], "employ": [13, 28, 54], "scarc": 13, "unit": [13, 19, 21, 22, 24, 25, 29, 30, 32, 34, 37, 48, 49, 50, 51, 55, 56], "kingdom": 13, "six": [13, 15, 23, 49], "member": [13, 19, 23, 57], "wonder": [13, 15, 38], "boi": [13, 38, 43], "crazi": [13, 37], "advertis": 13, "strike": 13, "gulch": 13, "yukon": 13, "newspap": 13, "clip": [13, 36], "chamberlain": 13, "prepar": [13, 17, 25, 30, 34, 38, 51, 56], "war": [13, 28, 54], "frozen": 13, "misplac": 13, "forti": 13, "joe": 13, "boer": 13, "rather": [13, 18, 20, 21, 22, 23, 26, 30, 37, 46, 47, 48, 49, 52, 56, 57], "nevil": 13, "crisi": 13, "crew": [13, 38], "stan": 13, "laurel": 13, "mistak": [13, 17, 18, 23, 32, 38, 43, 49], "ghost": 13, "jean": 13, "kent": 13, "grandfath": 13, "moor": 13, "marriott": 13, "mine": 13, "somewher": [13, 22], "sleepwalk": 13, "pretti": [13, 14, 18, 19, 21, 23, 26, 29, 31, 32, 37, 40, 49, 55], "marri": [13, 21, 24, 49, 50], "stalwart": 13, "trapper": 13, "anthoni": 13, "hulm": 13, "saloon": 13, "owner": 13, "bernard": 13, "lee": [13, 24, 50], "fate": 13, "wors": [13, 14, 20, 22, 23, 46, 48, 49], "death": [13, 57], "exposur": 13, "acclaim": 13, "uk": 13, "across": [13, 14, 15, 17, 21, 30, 43, 47, 56, 57], "pond": 13, "fast": [13, 15, 16, 19, 23, 24, 29, 32, 38, 50, 55], "furiou": 13, "wouldn": [13, 18, 20, 32, 46, 55], "strictli": 13, "gotten": [13, 32], "sight": 13, "gag": 13, "chase": 13, "marx": 13, "america": [13, 18, 34, 38], "tape": 13, "pick": [13, 14, 19, 21, 23, 24, 25, 26, 27, 30, 35, 47, 49, 50, 51, 52, 53, 56], "everyth": [13, 18, 21, 24, 28, 31, 47, 50, 54], "giveawai": 13, "gai": 13, "color": [13, 19, 24, 25, 26, 27, 40, 44, 45, 50, 52, 53], "india": [13, 29], "unwatch": 13, "sad": 13, "folk": [13, 32, 57], "vanessa": 13, "riot": 13, "mouth": 13, "sailor": 13, "ey": [13, 25, 51], "candi": 13, "bore": [13, 19, 38], "saeed": 13, "jeffrei": 13, "beauti": [13, 28, 29, 54, 55], "landrett": 13, "grace": 13, "background": [13, 14, 28, 54], "ethnic": 13, "plain": 13, "budget": [13, 20, 28, 46, 54], "shouldn": [13, 21, 23, 47, 49, 55], "damn": 13, "stupid": [13, 25, 51], "rasta": 13, "man": [13, 28, 29, 38, 54, 55], "profession": [13, 28, 54], "heard": [13, 15, 28, 38], "opinion": [13, 23, 49], "entertain": [13, 29, 55], "higher": [13, 14, 15, 16, 19, 21, 22, 23, 24, 25, 26, 28, 29, 39, 43, 45, 47, 48, 49, 50, 51, 52, 55], "mayb": [13, 21, 24, 31, 33, 47, 50, 57], "factor": [13, 14, 20, 24, 25, 27, 31, 32, 46, 50, 51, 53], "sicken": 13, "gdp": 13, "hype": 13, "win": [13, 16, 18, 23, 25, 28, 30, 38, 51, 54, 56], "director": [13, 28, 38, 54], "actor": [13, 28, 38, 54], "uninspir": 13, "hole": 13, "sandra": 13, "bullock": 13, "bomb": 13, "bu": 13, "castawai": 13, "matrix": [13, 18, 24, 26, 27, 34, 37, 38, 39, 44, 50, 52, 53], "revolut": 13, "award": [13, 38], "wardrob": 13, "depart": 13, "cloth": [13, 31], "paulina": 13, "porizcova": 13, "rubber": 13, "dress": 13, "jacket": 13, "nt": 13, "letter": [13, 19, 25], "sex": [13, 21, 23, 24, 25, 39, 49, 50, 51], "ass": 13, "soundtrack": 13, "ad": [13, 18, 19, 20, 21, 23, 24, 25, 27, 30, 32, 34, 45, 46, 47, 49, 50, 51, 53, 56], "bonus": 13, "tarantino": 13, "comparison": [13, 27, 30, 37, 56], "flick": [13, 38], "borrow": 13, "virtual": 13, "ever": [13, 14, 30, 38], "real": [13, 15, 16, 17, 18, 19, 21, 24, 25, 26, 27, 28, 29, 30, 37, 43, 47, 49, 50, 52, 53, 54, 55, 56, 58], "sentiment_predict": 13, "11872": 13, "experienc": [13, 57], "vacat": [13, 19], "hell": [13, 25, 51], "sat": [13, 31, 34], "horribl": 13, "tv": 13, "realiz": [13, 28], "nativ": [13, 21, 23, 24, 30, 39, 49, 50, 56], "demand": 13, "life": [13, 14, 19, 26, 28, 37, 38, 52, 54, 57], "plu": [13, 19, 30, 45, 56], "marcia": 13, "bradi": 13, "bikini": 13, "40828": 13, "bela": 13, "lugosi": 13, "serial": [13, 23, 49], "radio": 13, "villain": [13, 38], "cut": 13, "dash": 13, "chandu": 13, "east": [13, 37], "princess": [13, 55], "nadji": 13, "hunt": 13, "leader": 13, "ubasti": 13, "dead": 13, "priestess": 13, "globe": 13, "trot": 13, "pace": [13, 19], "slack": 13, "akin": 13, "princip": 13, "studio": 13, "rip": 13, "roar": 13, "adventur": 13, "enjoy": 13, "rush": [13, 25, 51], "hei": 13, "trilogi": 13, "coast": 13, "guard": 13, "phantom": 13, "creep": 13, "36400": 13, "dragon": 13, "eat": [13, 33], "went": [13, 22, 25, 38], "cheap": 13, "hilari": 13, "unintention": 13, "spoiler": [13, 38], "past": [13, 14, 15, 23, 31], "grow": [13, 20, 23, 25, 38, 46, 49, 51], "mess": [13, 28, 32, 54], "came": [13, 28, 31, 38], "outer": [13, 25, 51], "meteorit": 13, "egg": [13, 26, 52], "peasant": 13, "poke": 13, "pitchfork": 13, "pop": 13, "obligatori": 13, "babbl": 13, "outliv": 13, "dinosaur": 13, "appar": [13, 38], "blown": 13, "forc": [13, 21], "hiroshima": 13, "Then": [13, 14, 19, 23, 26, 31, 45, 49, 52, 60], "unscath": 13, "grew": 13, "guess": [13, 16, 17, 25, 41, 51, 52, 59], "mr": 13, "smarti": 13, "pant": 13, "secur": 13, "isn": [13, 15, 16, 21, 22, 23, 55], "smart": [13, 25, 26, 33, 51, 52], "ignor": [13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 29, 31, 32, 37, 39, 42, 43, 44, 45, 46, 47, 48, 49, 50, 55, 60], "knew": [13, 26, 52], "worst": [13, 21, 25, 26, 38, 47, 51, 52], "effect": [13, 16, 19, 20, 21, 22, 24, 25, 26, 28, 30, 35, 38, 39, 46, 48, 50, 51, 52, 54, 56], "fake": [13, 16, 38], "rock": 13, "fall": [13, 16, 29, 31, 55], "cg": 13, "helicopt": 13, "blob": [13, 30, 52, 56], "ruin": 13, "whatev": [13, 18, 25, 51], "trudg": 13, "hall": 13, "fly": 13, "cave": 13, "million": [13, 30, 56], "vital": 13, "stat": [13, 20, 32, 46, 52], "weren": [13, 55], "greatest": 13, "tri": [13, 23, 24, 28, 30, 49, 50, 51, 56], "bloodrayn": 13, "woman": [13, 28, 29, 38, 55], "meredith": 13, "tone": [13, 25, 41, 51], "lighter": [13, 20], "rest": [13, 19, 20, 32, 45, 46], "cheesi": 13, "bottom": [13, 27, 53], "hear": [13, 38], "5166": 13, "sorri": 13, "jacquelin": 13, "hyde": 13, "l": 13, "jekyl": 13, "hardcor": 13, "porn": 13, "undiagnos": 13, "disabl": [13, 29, 34, 38, 55], "jacki": 13, "inherit": 13, "mansion": 13, "inventor": 13, "formula": [13, 19, 22, 30, 45, 56, 59], "slowli": [13, 38], "bodi": [13, 38], "mind": [13, 15, 17, 18, 23, 24, 28, 38, 49, 50, 54], "despit": 13, "skin": [13, 25, 41, 51], "regist": [13, 57], "emot": [13, 38], "uncontrol": 13, "laughter": 13, "poor": [13, 18, 22, 25, 42, 44, 48, 50, 51, 56], "granddaddi": 13, "kc_house_data": [13, 14, 35], "id": [13, 14, 22, 24, 28, 35, 48, 50, 51, 54], "bedroom": [13, 14, 19, 35], "bathroom": [13, 14, 19, 35], "sqft_live": [13, 14, 35], "sqft_lot": [13, 14, 35], "floor": [13, 14, 35], "waterfront": [13, 14, 35], "sqft_abov": [13, 14, 35], "sqft_basement": [13, 14, 35], "yr_built": [13, 14, 35], "yr_renov": [13, 14, 35], "zipcod": [13, 14, 35], "lat": [13, 14, 35], "sqft_living15": [13, 14, 35], "sqft_lot15": [13, 14, 35], "509000": 13, "1930": 13, "3521": 13, "1989": 13, "98007": 13, "6092": 13, "122": [13, 14, 15, 17, 18, 25, 30, 35, 40, 41, 51], "146": [13, 36, 41], "1840": [13, 35], "3576": 13, "675000": 13, "2570": [13, 14], "12906": 13, "1987": [13, 14], "98075": 13, "5814": 13, "050": [13, 25, 30], "2580": 13, "12927": 13, "420000": 13, "1150": 13, "5120": 13, "800": [13, 15, 20, 29, 33, 37, 46, 55], "350": [13, 32, 40, 41], "1946": [13, 22, 48], "98116": 13, "5588": 13, "1220": [13, 17, 20, 46, 48], "680000": 13, "2530": 13, "4800": 13, "1390": 13, "1140": 13, "1901": 13, "98112": 13, "6241": 13, "305": [13, 41, 48], "1540": 13, "357823": 13, "1240": 13, "9196": 13, "1968": 13, "98072": 13, "7562": 13, "094": [13, 28, 54, 55], "1690": [13, 14], "10800": 13, "lgbmregressor": [13, 23, 49], "345831": 13, "740542": 13, "2130": 13, "8078": 13, "1380": 13, "750": [13, 28, 37, 54], "1977": 13, "98055": 13, "4482": 13, "209": [13, 14, 15, 16, 20, 41, 46], "2300": 13, "8112": 13, "601042": 13, "018745": 13, "2210": [13, 35], "7620": [13, 35], "1994": 13, "98052": 13, "6938": [13, 28, 31, 54], "1920": 13, "7440": 13, "311310": 13, "186024": 13, "1800": [13, 14, 33, 43, 46], "9576": 13, "98045": 13, "4664": 13, "747": 13, "1370": [13, 32, 43, 46], "597555": 13, "592401": 13, "1580": 13, "1321": 13, "1080": 13, "500": [13, 17, 21, 23, 24, 25, 28, 38, 39, 47, 49, 51, 54, 56], "2014": [13, 23, 31, 35, 49], "98107": 13, "6688": 13, "402": 13, "1530": 13, "1357": 13, "varieti": [13, 23, 26, 29, 33, 49, 55], "mi": [13, 20, 21, 40, 46, 47], "instanc": [13, 14, 15, 18, 19, 21, 26, 27, 28, 29, 30, 31, 38, 45, 47, 52, 53, 55, 56, 58], "incorrectli": [13, 21, 47], "wild": [13, 15, 30, 36, 56], "reliabl": [13, 26, 52], "confid": [13, 15, 24, 32, 34, 38, 45, 50], "step": [13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 30, 31, 37, 38, 39, 43, 44, 46, 48, 49, 50, 51, 52, 53, 56, 57, 58, 59, 60], "spell": [13, 33], "expert": [13, 14, 15, 20, 24, 25, 26, 46, 50, 51], "faster": [13, 20, 23, 25, 30, 45, 46, 49, 51, 56], "scalabl": [13, 27, 53], "prime": 13, "anonym": [13, 31], "qualtric": 13, "due": [13, 14, 15, 16, 19, 20, 21, 22, 23, 25, 28, 44, 45, 48, 49, 51, 54, 55, 56, 57], "19th": 13, "59pm": [13, 14, 15, 16, 28], "tldr": 13, "narrow": 13, "scope": [13, 28, 29, 31, 55], "carefulli": [13, 21, 22, 39], "seat": [13, 30, 57], "reserv": [13, 31, 34], "novelti": 13, "forget": [13, 14, 18, 23, 49], "capac": 13, "160": [13, 15, 19, 20, 22, 43, 46, 48], "th": [13, 19, 26, 28, 45, 52, 54], "12th": [13, 21, 23, 24, 39, 49, 50], "rel": [13, 19, 24, 25, 27, 29, 30, 37, 45, 50, 51, 53, 55, 56], "straightforward": [13, 24, 50], "hope": [13, 15, 26], "partner": [13, 32, 57], "subsequ": 13, "pend": 13, "weekli": [13, 25, 51], "attend": [13, 16, 57], "basi": [13, 14, 16, 59], "htmlpreview": 13, "ii": [13, 21, 47], "transfer": [13, 32, 34, 40, 57], "iii": 13, "benefici": [13, 18], "talk": [13, 14, 15, 17, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 38, 45, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56], "aspect": [13, 19, 24, 25, 27, 28, 32, 45, 50, 51, 53, 54], "forum": 13, "confusingli": 13, "markdown": 13, "9999": [13, 52], "static": 13, "launch": 13, "push": [13, 24, 50], "breakdown": 13, "chrome": 13, "firefox": 13, "spars": [13, 16, 19, 23, 24, 28, 37, 38, 39, 42, 44, 49, 50, 54], "matric": [13, 16, 21, 28, 29, 39, 52, 54, 55], "finish": [13, 22, 48], "paradigm": [13, 14, 26, 34, 52, 55], "particularli": [13, 23, 38, 49, 57], "transit": 13, "pandem": 13, "accommod": [13, 57], "empathet": 13, "revis": [14, 58, 59, 60], "dummi": [14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 30, 31, 32, 35, 38, 39, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 56, 58], "graphviz": [14, 49, 54, 56], "mglearn": [14, 15, 16, 17, 19, 20, 21, 26, 29, 30, 31, 38, 39, 43, 44, 45, 46, 47, 49, 52, 54, 55, 56, 59], "plotting_funct": [14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 26, 27, 28, 30, 35, 36, 37, 38, 39, 43, 44, 45, 46, 47, 49, 50, 52, 53, 54, 56], "decisiontreeregressor": [14, 22, 35, 42, 48, 58], "export_graphviz": 14, "otter": [14, 58, 59, 60], "tent": 14, "deliver": 14, "broadli": [14, 15, 16, 19, 21, 23, 26, 27, 29, 45, 47, 49, 52, 53, 55, 58], "ourselv": [14, 21, 30, 31, 47, 55, 56], "larger": [14, 15, 16, 17, 19, 20, 22, 23, 24, 26, 27, 29, 32, 43, 46, 49, 50, 52, 53, 55], "kaggl": [14, 17, 21, 22, 23, 24, 25, 30, 36, 39, 47, 48, 50, 51, 56, 60], "citi": [14, 15, 16, 31, 38, 55], "clutter": 14, "demonstr": [14, 15, 17, 19, 20, 22, 23, 26, 28, 29, 30, 36, 37, 38, 45, 46, 48, 49, 52, 54, 55, 56], "four": [14, 15, 25, 27, 38, 42, 51, 52, 53], "quizz": 14, "friend": [14, 15, 21, 28, 38, 42, 54, 57, 58], "nervou": 14, "previou": [14, 22, 23, 26, 27, 28, 31, 35, 49, 52, 53, 58], "classification_df": [14, 15], "shape": [14, 15, 16, 17, 18, 20, 21, 22, 24, 25, 26, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 46, 47, 48, 50, 51, 52, 54, 55, 56, 58], "ml_experi": [14, 15, 18, 42, 44], "class_attend": [14, 15, 42, 44], "lab1": [14, 15, 17, 18, 42, 44], "lab2": [14, 15, 18, 42, 44], "lab3": [14, 15, 18, 42, 44], "lab4": [14, 15, 18, 42, 44], "quiz1": [14, 15, 18, 42, 44], "93": [14, 15, 18, 19, 20, 26, 31, 42, 44, 46, 51, 52], "94": [14, 15, 17, 18, 19, 20, 21, 22, 31, 34, 40, 42, 43, 44, 47, 48], "89": [14, 15, 18, 21, 27, 31, 41, 42, 44, 47, 51, 53], "77": [14, 15, 18, 19, 21, 22, 27, 28, 31, 34, 40, 42, 44, 45, 47, 48, 53, 54], "row": [14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 28, 30, 31, 32, 34, 36, 37, 38, 39, 41, 43, 44, 46, 47, 48, 49, 50, 51, 53, 54, 55, 56, 57, 58, 59], "characterist": [14, 15, 19], "denot": [14, 28, 54], "map": [14, 15, 18, 20, 34, 38, 40, 41, 46, 59], "separ": [14, 15, 17, 18, 19, 21, 25, 26, 28, 29, 30, 31, 37, 39, 43, 45, 50, 51, 52, 54, 55, 56], "housing_df": [14, 17, 18, 25, 35, 43, 51], "1180": 14, "5650": 14, "1955": 14, "98178": 14, "5112": 14, "257": 14, "1340": 14, "7242": 14, "2170": 14, "400": [14, 17, 20, 29, 46, 55], "1951": [14, 35], "1991": [14, 23, 49], "98125": 14, "7210": 14, "7639": 14, "770": 14, "10000": [14, 18, 19, 20, 22, 31, 38, 46, 48], "1933": 14, "98028": 14, "7379": 14, "233": 14, "2720": 14, "8062": 14, "1960": 14, "1050": 14, "1965": 14, "98136": 14, "5208": 14, "393": [14, 18, 37, 51], "1360": 14, "1680": 14, "8080": 14, "98074": 14, "6168": 14, "045": 14, "7503": 14, "221900": 14, "538000": 14, "180000": 14, "604000": 14, "510000": [14, 16, 43, 46], "21613": [14, 35], "vari": [14, 20, 23, 27, 32, 46, 51, 53, 58], "predictor": [14, 23, 42, 49], "explanatori": 14, "regressor": [14, 17, 22, 31, 35, 43, 48, 58], "covari": [14, 32, 52], "categor": [14, 20, 21, 22, 23, 25, 26, 28, 29, 32, 40, 42, 44, 46, 48, 49, 51, 52, 54, 55], "concis": 14, "approxim": [14, 20, 25, 26, 28, 46, 51], "discret": [14, 25, 26, 37, 51, 58], "example1": 14, "patient": [14, 38, 59], "liver": 14, "diseas": [14, 21, 28, 32, 47], "example2": 14, "regression_df": 14, "82": [14, 18, 20, 21, 27, 31, 41, 46, 53, 55], "73": [14, 15, 18, 19, 20, 21, 22, 27, 31, 32, 34, 41, 45, 46, 47, 48, 51, 53], "68": [14, 15, 16, 18, 21, 22, 26, 27, 31, 32, 41, 48, 52, 53, 54], "74": [14, 15, 17, 18, 19, 20, 21, 22, 27, 34, 39, 43, 47, 48, 51, 53], "88": [14, 15, 17, 18, 19, 21, 43, 47, 51], "95": [14, 15, 18, 21, 27, 31, 32, 38, 40, 53], "97": [14, 15, 18, 19, 20, 24, 27, 31, 46, 50, 53], "99": [14, 15, 17, 18, 20, 21, 31, 46, 54], "98": [14, 17, 18, 19, 24, 26, 29, 31, 32, 50, 52, 55], "86": [14, 18, 19, 20, 21, 31, 34, 43, 46, 51], "96": [14, 18, 19, 20, 21, 25, 31, 46, 51], "67": [14, 15, 18, 19, 21, 22, 31, 32, 41, 48, 51], "65": [14, 18, 20, 22, 40, 41, 46, 48, 51, 54], "87": [14, 17, 18, 21, 31, 34, 47, 55], "sentiment": [14, 19, 25, 29, 51, 55], "fraud": [14, 21, 22, 26, 28, 31, 39, 47, 48, 52], "join": [14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 34, 37, 39, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59], "snbf": [14, 15, 16, 17, 18, 20, 21, 22, 23, 25, 26, 27, 28, 30, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 56], "properti": [14, 22, 24, 25, 33, 48, 50, 51], "estat": 14, "heart": [14, 25, 38, 51], "attack": 14, "demograph": 14, "diet": [14, 55], "clinic": 14, "articl": [14, 15, 17, 21, 26, 28, 30, 52, 54, 56], "card": [14, 21, 24, 32, 39, 47, 50, 51], "fraudul": [14, 21, 39, 47, 54], "transact": [14, 21, 31, 39, 47], "employe": 14, "influenc": [14, 15, 20, 24, 26, 28, 32, 38, 46, 50, 52, 54, 58], "room": [14, 19, 22, 25, 37, 45, 51, 57], "percentag": [14, 21, 28, 33, 54], "bicycl": [14, 31], "tomorrow": [14, 31], "thermostat": 14, "temperatur": 14, "rightarrow": [14, 16, 19, 21, 22, 23, 26, 27, 29, 45, 48, 49, 52, 53, 55], "unseen": [14, 25, 26, 30, 51, 56], "value_count": [14, 18, 21, 23, 24, 25, 31, 32, 35, 37, 39, 47, 49, 50, 51, 60], "frequent": [14, 17, 29, 32, 43, 55], "thumb": [14, 25, 28, 51, 54], "saniti": [14, 32], "dummy_clf": 14, "strategi": [14, 16, 17, 18, 21, 22, 24, 26, 31, 32, 37, 39, 43, 44, 48, 50, 52, 59], "most_frequ": [14, 16, 17, 21, 22, 24, 37, 48, 50], "carri": [14, 15, 16, 18, 20, 21, 22, 23, 26, 28, 29, 31, 33, 34, 35, 37, 44, 46, 48, 49, 52, 54, 55, 58, 59], "arrai": [14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 37, 38, 39, 40, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56], "u6": 14, "frac": [14, 19, 21, 22, 26, 29, 30, 33, 45, 47, 48, 52, 55, 56], "3f": [14, 15, 16, 17, 18, 21, 22, 25, 28, 29, 32, 38, 43, 47, 48, 51, 54, 55], "524": 14, "476": 14, "new_exampl": [14, 26, 52], "5238095238095238": 14, "median": [14, 17, 18, 19, 22, 24, 25, 31, 32, 37, 43, 45, 48, 50, 51, 58], "constant": [14, 21, 22, 23, 24, 31, 37, 39, 48, 49, 50], "reg": [14, 23, 49], "28571429": 14, "maximum": [14, 17, 22, 23, 26, 27, 37, 38, 43, 48, 49, 52, 53], "simplic": [14, 18, 28, 54], "binar": [14, 18], "Is": [14, 15, 17, 19, 22, 23, 26, 29, 35, 36, 38, 43, 45, 48, 49, 52, 55], "distinguish": [14, 18, 21, 47, 59], "combin": [14, 17, 18, 20, 21, 25, 28, 30, 31, 37, 46, 47, 51, 54, 56], "unwieldi": [14, 17, 43], "quickli": [14, 16, 17, 20, 27, 32, 43, 46, 53, 57], "game": [14, 55, 59], "x_binari": 14, "col": [14, 18, 19, 28, 31, 42, 44, 45, 54], "9047619047619048": 14, "custom_plot_tre": [14, 15, 23, 24, 49, 50], "width": [14, 15, 21, 29, 33, 34, 36, 55, 58, 59], "height": [14, 15, 21, 25, 29, 33, 36, 51, 55, 58], "figsiz": [14, 15, 16, 17, 19, 21, 24, 25, 26, 27, 30, 31, 32, 36, 37, 40, 41, 45, 50, 51, 52, 53, 56, 58, 59], "feature_nam": [14, 15, 19, 23, 24, 25, 29, 35, 38, 45, 49, 50, 51, 55, 58, 59], "class_nam": [14, 16, 23, 30, 36, 40, 41, 49, 56, 58], "impur": [14, 23, 35, 49], "fontsiz": [14, 15, 23, 24, 26, 49, 50, 52, 58], "commonli": [14, 17, 20, 21, 25, 26, 32, 43, 46, 47, 51, 52], "root": [14, 16, 28, 30, 36, 40, 41, 54, 56, 58], "node": [14, 23, 27, 30, 49, 53, 56, 58], "repres": [14, 15, 16, 17, 18, 19, 21, 24, 25, 26, 27, 28, 30, 31, 43, 44, 50, 51, 52, 53, 54, 56, 60], "branch": [14, 27, 32, 38, 53, 58], "within": [14, 16, 17, 19, 23, 25, 26, 27, 29, 32, 36, 43, 44, 49, 51, 52, 53, 55, 59, 60], "leaf": [14, 27, 55, 58], "edg": [14, 20, 46], "farthest": 14, "464": [14, 15], "userwarn": [14, 15, 18, 23, 24, 37, 49, 51], "inspir": [14, 21, 23, 49], "plot_fruit_tre": 14, "defin": [14, 16, 17, 18, 21, 23, 24, 26, 27, 28, 31, 33, 37, 43, 44, 47, 49, 50, 52, 54, 59, 60], "criteria": [14, 27, 53], "gini": [14, 24, 50], "cross": [14, 16, 18, 20, 22, 23, 24, 26, 32, 37, 42, 46, 48, 49, 50, 52, 59, 60], "entropi": 14, "threshold": [14, 19, 23, 25, 29, 34, 45, 47, 49, 51, 55, 58], "mse": [14, 28, 42, 49, 54], "reg_model": 14, "predicted_quiz2": 14, "989": 14, "333333": [14, 17, 20, 28, 36, 46, 54], "expand": [14, 57], "pure": [14, 31], "length": [14, 15, 19, 22, 24, 25, 26, 27, 29, 31, 32, 34, 35, 38, 45, 48, 50, 51, 52, 53, 55, 58, 59], "longest": 14, "stump": [14, 15, 16, 23, 35, 49], "tree_model": 14, "kwarg": [14, 15, 17, 18, 25, 28, 32, 34, 37, 48, 51], "inch": 14, "plot_tre": [14, 35, 58], "gca": [14, 26, 27, 32, 52], "new_text": 14, "sub": [14, 20, 26, 32, 38, 42, 46, 52], "get_text": 14, "set_text": 14, "knob": 14, "heurist": [14, 20, 46], "systemat": [14, 18, 20, 24, 29, 46, 50, 55, 58], "autom": [14, 22, 29, 55], "constructor": [14, 17], "min_samples_split": 14, "min_samples_leaf": 14, "max_leaf_nod": 14, "subset": [14, 15, 20, 23, 30, 31, 36, 40, 41, 46, 49, 56], "x_subset": [14, 15], "plot_tree_decision_boundary_and_tre": [14, 15], "x_label": [14, 15, 16], "y_label": [14, 15, 16], "geometr": 14, "region": [14, 21, 27, 31, 53], "horizont": [14, 18, 59], "vertic": [14, 21, 31, 37, 59], "complic": [14, 15, 20, 22, 25, 36, 37, 40, 46, 48, 51, 52], "border": [14, 19, 27, 29, 53, 55], "belong": [14, 19, 26, 27, 33, 52, 53, 59], "canada_usa_c": [14, 15, 16, 19, 45], "0437": [14, 15, 16], "9773": [14, 15, 16], "134": [14, 15, 19, 28, 32, 40, 41, 54], "4197": [14, 15, 19], "58": [14, 15, 16, 18, 19, 22, 31, 32, 40, 41, 48], "3019": [14, 15, 19], "0780": [14, 15], "9854": [14, 15, 19], "7436": [14, 15], "9881": [14, 15], "2691": [14, 15], "9951": [14, 15], "204": [14, 15, 16, 20, 34, 46, 49, 55], "72": [14, 15, 16, 21, 22, 31, 32, 40, 47, 48], "7218": [14, 15], "3990": [14, 15], "205": [14, 15, 16], "66": [14, 15, 17, 19, 21, 22, 30, 31, 48, 56], "6458": [14, 15], "9664": [14, 15], "206": [14, 15, 16, 20, 21, 46], "2506": [14, 15], "9931": [14, 15], "207": [14, 15, 16, 17, 20, 30, 46, 55], "9406": [14, 15, 28, 54], "6275": [14, 15, 21, 47], "208": [14, 15, 16, 19, 20, 41, 46], "4608": [14, 15], "3092": [14, 15], "discrete_scatt": [14, 15, 16, 19, 26, 27, 30, 45, 52, 53, 56, 59], "pretend": [14, 15, 31], "infer": [14, 28, 29, 31, 55], "ep": [14, 15, 16, 19, 41, 45], "symbol": 14, "feedback": 14, "while": [14, 15, 19, 20, 21, 23, 24, 25, 26, 29, 32, 34, 38, 46, 47, 49, 50, 51, 52, 55, 60], "myself": [14, 55], "framework": [14, 20, 46], "jargon": 14, "workflow": [14, 57], "sequenti": [14, 23, 31, 49, 51], "hierarchi": [14, 27, 53], "hous": [15, 22, 24, 25, 35, 43, 45, 48, 50, 51], "classifi": [15, 16, 17, 20, 21, 24, 30, 36, 39, 40, 41, 43, 46, 47, 50, 54, 56], "decisiontreeclassifi": [15, 17, 18, 19, 20, 24, 43, 44, 45, 46, 50, 58, 59], "inlin": [15, 16, 17, 19, 20, 21, 22, 23, 24, 27, 28, 35, 37, 38, 39, 43, 45, 46, 47, 48, 49, 50, 53, 54, 59, 60], "waitlist": [15, 57], "withdraw": 15, "stand": [15, 16, 20, 46, 50], "boundari": [15, 27, 29, 43, 46, 53, 55, 58, 59], "max_depth": [15, 20, 23, 24, 35, 46, 49, 50, 58, 59], "gap": [15, 31, 35], "recip": 15, "tune": [15, 20, 23, 27, 28, 30, 49, 51, 53, 54, 56], "spam": [15, 21, 26, 33, 44, 47, 52], "incom": [15, 19, 21, 23, 24, 34, 39, 45, 49, 50, 58], "inbox": 15, "ultim": 15, "haven": [15, 32, 37, 55], "tackl": [15, 17, 21, 27, 30, 43, 56, 58], "examin": [15, 16, 17, 19, 21, 23, 24, 25, 26, 27, 29, 30, 31, 35, 36, 39, 41, 49, 50, 51, 52, 53, 55, 56, 60], "quiz2": [15, 18, 42, 44], "286": [15, 31, 43, 46], "190": [15, 22, 32, 41, 48, 51], "048": [15, 18], "sensit": [15, 17, 20, 21, 22, 26, 28, 32, 38, 43, 52, 54, 59], "deploi": [15, 21, 28, 35, 54], "neighbour": [15, 24, 26, 27, 29, 36, 50, 52, 53, 55, 59, 60], "proceed": 15, "beyond": [15, 20, 25, 38, 46, 51], "target": [15, 16, 17, 19, 20, 21, 23, 24, 25, 28, 30, 31, 32, 37, 38, 39, 42, 43, 44, 45, 46, 49, 50, 51, 54, 56, 59, 60], "leaner": 15, "error_": 15, "randomli": [15, 19, 20, 21, 23, 46, 47, 49], "kept": 15, "stabl": [15, 21, 23, 49], "ifram": [15, 21, 33], "src": [15, 21, 33], "431": 15, "shuffl": [15, 30, 31, 36, 40, 41, 56], "imaginari": 15, "chest": 15, "lock": 15, "longitud": [15, 16, 17, 18, 19, 25, 28, 43, 45, 51], "latitud": [15, 16, 17, 18, 19, 25, 28, 43, 45, 51], "shape_dict": 15, "shape_df": 15, "167": [15, 28, 34], "eda": [15, 29, 55], "76": [15, 17, 19, 20, 21, 22, 25, 30, 34, 41, 47, 48], "4813": [15, 19], "44": [15, 16, 17, 19, 21, 22, 25, 28, 29, 31, 41, 47, 48, 54, 55], "2307": [15, 19], "127": [15, 17, 18, 19, 20, 34, 40, 41, 46, 51], "2496": [15, 19], "9837": [15, 19], "169": [15, 19, 25, 28, 34, 51], "0580": [15, 19], "2788": [15, 19], "2533": [15, 19], "3057": [15, 19], "9245": [15, 19], "1652": [15, 19], "762": [15, 34], "fig": [15, 16, 19, 21, 25, 26, 27, 30, 36, 39, 45, 52, 53, 55, 58, 59], "ax": [15, 16, 19, 21, 26, 27, 32, 36, 39, 45, 51, 52, 58, 59], "subplot": [15, 16, 19, 21, 26, 32, 36, 45, 52, 59], "subplot_kw": [15, 36], "xtick": [15, 21, 31, 36], "ytick": [15, 21, 36], "plot_tree_decision_boundari": 15, "neither": [15, 18, 28, 44, 54], "vault": 15, "readi": [15, 16, 17, 19, 34, 43], "concensu": 15, "terminolog": [15, 21], "proxi": 15, "e_": 15, "unlucki": 15, "fold": [15, 17, 18, 20, 21, 22, 23, 28, 43, 44, 45, 46, 49, 54, 59], "cv_score": [15, 22, 36, 48], "cv": [15, 18, 21, 22, 23, 24, 25, 28, 31, 35, 36, 44, 48, 49, 50, 51, 54], "76470588": 15, "82352941": 15, "70588235": 15, "94117647": 15, "9375": 15, "2f": [15, 20, 28, 29, 31, 34, 38, 44, 46, 54, 55, 58], "hood": [15, 28, 37, 52, 54], "return_train_scor": [15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 31, 32, 35, 36, 37, 38, 43, 44, 46, 47, 48, 49, 50, 51], "fit_tim": [15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 28, 31, 32, 36, 37, 38, 43, 44, 46, 47, 48, 49, 50, 51, 54], "score_tim": [15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 31, 32, 36, 37, 38, 43, 44, 46, 47, 48, 49, 50, 51], "test_scor": [15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 31, 32, 35, 36, 37, 38, 43, 44, 46, 47, 48, 49, 50, 51, 59, 60], "train_scor": [15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 31, 32, 35, 36, 37, 38, 43, 44, 46, 47, 48, 49, 50, 51, 59], "001154": [], "000722": [], "764706": [15, 16, 20, 46, 47], "913333": [15, 36], "000965": [], "000667": 15, "823529": [15, 16, 19], "906667": [15, 36], "000910": [], "000682": [15, 34], "705882": [15, 20, 46], "000921": [], "000671": [], "941176": [15, 18, 44], "900000": [15, 31], "000930": [], "000664": [], "000953": 15, "000657": [], "000929": 15, "000643": [], "920000": [15, 36], "000672": [], "937500": [15, 18, 44], "900662": 15, "000922": [], "000712": [], "000876": [], "000668": [], "000947": 15, "000676": [], "840074": 15, "906865": 15, "stratifiedkfold": [15, 21], "plot_cross_valid": [15, 31], "001435": [], "000789": 16, "875000": 15, "000973": [], "000652": 15, "992857": 15, "000901": 15, "000615": [], "000919": [], "000650": [], "687500": [15, 44], "000960": 15, "812500": 15, "000627": [], "000648": [], "866667": [15, 21, 47], "985816": 15, "000985": [], "600000": [15, 31], "992908": 15, "000936": [], "000646": [15, 35], "666667": [15, 17, 28, 54], "000915": 15, "mean_std_cross_val_scor": [15, 17, 18, 23, 24, 25, 32, 49, 50, 51], "mean_scor": [15, 17, 18, 20, 25, 32, 46, 51], "std_score": [15, 17, 18, 25, 32, 51], "out_col": [15, 17, 18, 25, 32, 51], "775": [], "014": [15, 17, 49], "diagnos": [15, 24, 50], "textrm": 15, "212": [15, 20, 40, 46], "dummyclassifi": [15, 16, 17, 18, 19, 20, 21, 22, 24, 25, 30, 36, 37, 38, 39, 42, 43, 44, 45, 46, 47, 48, 50, 51, 56, 58, 59], "quirk": 15, "lower": [15, 16, 21, 22, 24, 26, 28, 29, 32, 34, 43, 47, 48, 50, 52, 55, 58, 59], "lesssim": 15, "213": [20, 30, 31, 46], "unreli": 15, "fairli": [15, 20, 21, 24, 39, 46, 50], "necessarili": [15, 22, 23, 28, 49, 54], "decreas": [15, 19, 20, 23, 24, 26, 35, 45, 46, 49, 50, 52], "results_dict": [15, 16, 17, 18, 20, 36, 46, 59], "mean_train_error": 15, "mean_cv_error": 15, "std_cv_error": 15, "std_train_error": 15, "param_grid": [15, 16, 20, 22, 46, 48, 59], "results_df": [15, 16, 19, 35, 36, 38, 59], "set_index": [15, 16, 20, 21, 22, 36, 46, 47, 48, 59], "ground": [15, 25, 27, 28, 51, 53, 54, 57], "realiti": [15, 22, 32], "tend": [15, 16, 19, 23, 25, 28, 31, 32, 43, 45, 49, 51, 54, 57], "tendenc": 15, "irrespect": [15, 19], "pedro": [15, 25, 51], "domingo": [15, 25, 51], "subtleti": [15, 22], "cross_validate_std": 15, "res_mean": 15, "std_test_scor": [15, 20, 46], "std_train_scor": [15, 16, 20, 36, 46, 59], "171657": 15, "211250": 15, "048378": 15, "006805": 15, "160258": 15, "223750": [], "062723": [], "007316": [15, 20], "142467": 15, "204583": 15, "053763": 15, "022848": 15, "092604": 15, "204167": 15, "070907": 15, "006531": 15, "083338": 15, "191250": 15, "067120": 15, "010650": 15, "066960": [], "197500": [], "074773": [], "012065": [], "044873": 15, "217083": [], "085543": [], "009059": 15, "030618": [], "216250": 15, "096833": [], "010547": [], "020653": 15, "197083": [], "093950": [], "010294": 15, "010679": [], "222500": [], "092669": [], "007938": [], "005699": 15, "229167": [], "093782": [], "004264": 15, "003561": 15, "229583": 15, "089354": [], "004769": 15, "084870": 15, "235833": 15, "088373": [], "best_depth": [15, 35], "argmin": [15, 16, 21, 26, 47, 52], "191": [15, 17, 40, 41, 49], "performac": 15, "phase": 15, "mislead": [15, 21, 44, 47], "lack": [15, 28, 54], "attempt": [15, 36], "flaw": [15, 17], "baidu": 15, "admit": [15, 28, 54], "month": [15, 18, 22, 32, 44], "chosen": [15, 20, 21, 60], "class_demo": 15, "02_class": 15, "hyperparamt": [15, 20, 32, 46], "imput": [15, 18, 19, 20, 21, 22, 23, 24, 25, 26, 31, 32, 37, 38, 39, 42, 44, 45, 46, 48, 49, 50, 51, 52], "scale": [15, 16, 18, 20, 21, 22, 23, 25, 27, 30, 32, 42, 46, 48, 49, 51, 53, 56, 60], "trigger": 16, "aristotl": 16, "ipywidget": [16, 19, 45, 58, 59], "widget": [16, 19, 21, 26, 27, 45, 53, 58], "cross_valid": [16, 17, 18, 19, 20, 21, 23, 24, 25, 28, 31, 32, 34, 35, 36, 37, 38, 39, 42, 43, 44, 45, 46, 47, 49, 50, 51, 54, 59, 60], "filterwarn": 16, "yesterdai": [16, 31], "octob": [16, 21, 22, 31, 48], "enrol": 16, "registr": 16, "mandatori": 16, "session": [16, 57, 58], "notion": [16, 20, 26, 28, 29, 46, 52, 54, 55, 58], "tradeoff": [16, 17, 19, 22, 25, 26, 30, 43, 45, 48, 51, 52, 56], "golden": [16, 37, 38, 42], "herta": 16, "tech": [16, 21], "facial": [16, 41], "circl": [16, 21, 47], "triangl": [16, 26], "green": [16, 20, 26, 46, 52], "make_forg": 16, "66214339": 16, "plot_train_test_point": 16, "closest": [16, 17, 21, 27, 29, 31, 53, 55, 59], "vote": [16, 17, 23, 30, 38, 49, 56, 59], "plot_knn_clf": 16, "intslid": [16, 58, 59], "cities_df": [16, 19, 45], "x_citi": 16, "y_citi": 16, "spotifi": [16, 28, 43, 54], "song": [16, 17, 25, 28, 51, 54, 60], "spotify_df": [16, 17, 20, 43, 46, 60], "x_spotifi": [16, 20, 46, 60], "song_titl": [16, 17, 20, 43, 46, 60], "artist": [16, 17, 20, 43, 46, 60], "approx": [16, 24, 50], "compos": [16, 18, 20, 21, 22, 23, 24, 25, 28, 30, 31, 32, 36, 37, 39, 40, 41, 42, 44, 46, 48, 49, 50, 51, 56], "to_numpi": [16, 28, 29, 31, 54, 55], "02000e": 16, "33000e": 16, "04600e": 16, "34000e": 16, "19000e": 16, "00000e": 16, "65000e": 16, "79500e": 16, "31000e": 16, "50062e": 16, "86000e": 16, "two_citi": 16, "120": [16, 17, 19, 22, 23, 30, 31, 37, 40, 48, 56, 59], "104": [16, 17, 26, 28, 49, 52], "8253": 16, "8340": 16, "112": [16, 28], "0741": 16, "4484": 16, "black": [16, 24, 26, 30, 50, 52, 56], "alpha": [16, 17, 51, 59], "marker": [16, 19, 26, 30, 45, 52, 56], "o": [16, 19, 21, 26, 28, 45, 52, 55], "u": [16, 18, 19, 26, 29, 44, 55], "u_1": 16, "u_2": 16, "dot": [16, 19, 21, 23, 24, 25, 27, 45, 47, 49, 50, 51, 53], "u_n": 16, "v_1": 16, "v_2": 16, "v_n": 16, "sqrt": [16, 22, 24, 28, 29, 48, 50, 54, 55, 59], "sum_": [16, 22, 26, 29, 48, 52, 55], "u_i": 16, "v_i": 16, "subtract": [16, 21, 24, 50], "4f": [16, 18, 21, 29, 38, 47, 55], "2488": 16, "3856": 16, "5498": 16, "0305": 16, "pairwis": [16, 27, 29, 41, 53, 55], "euclidean_dist": [16, 17, 26, 27, 29, 41, 43, 53, 55], "03049217": 16, "dist": [16, 26, 27, 36, 41, 52, 53], "fill_diagon": [16, 41], "inf": [16, 41], "201": [16, 34, 40], "202": [16, 30], "203": 16, "955113": 16, "869531": 16, "106452": 16, "449666": 16, "381676": 16, "366626": 16, "283857": 16, "572105": 16, "180388": 16, "834455": 16, "807684": 16, "925593": 16, "951696": 16, "384127": 16, "289799": 16, "183423": 16, "426410": 16, "033459": 16, "498562": 16, "677579": 16, "935802": 16, "305346": 16, "308448": 16, "200978": 16, "082949": 16, "359992": 16, "957919": 16, "668787": 16, "533498": 16, "656349": 16, "61": [16, 18, 19, 21, 22, 26, 31, 40, 44, 48, 51, 52], "691640": 16, "045304": 16, "032656": 16, "887343": 16, "253724": 16, "771969": 16, "252160": 16, "334411": 16, "808958": 16, "115406": 16, "528403": 16, "525757": 16, "873103": 16, "479109": 16, "277381": 16, "076798": 16, "783789": 16, "169693": 16, "934205": 16, "483751": 16, "512897": 16, "235152": 16, "249720": 16, "699224": 16, "474552": 16, "781004": 16, "194002": 16, "191396": 16, "538702": 16, "144750": 16, "275352": 16, "743133": 16, "480249": 16, "836189": 16, "599860": 16, "150395": 16, "179123": 16, "904226": 16, "916254": 16, "365623": 16, "306500": 16, "719500": 16, "716985": 16, "064200": 16, "670344": 16, "675814": 16, "269880": 16, "051472": 16, "363192": 16, "125476": 16, "677629": 16, "705696": 16, "435186": 16, "443317": 16, "892477": 16, "405415": 16, "043890": 16, "057003": 16, "746328": 16, "127878": 16, "333340": 16, "873356": 16, "41": [16, 17, 21, 22, 25, 26, 28, 31, 34, 40, 41, 48, 51, 52], "380643": 16, "345136": 16, "373031": 16, "102435": [16, 22, 48], "957987": 16, "316363": 16, "800190": 16, "418031": 16, "031385": 16, "032874": 16, "709185": 16, "088948": 16, "358333": 16, "442806": 16, "259286": 16, "369875": 16, "108681": 16, "950733": 16, "303916": 16, "819584": 16, "258427": 16, "059863": 16, "187663": 16, "932124": 16, "380495": 16, "100248": 16, "767852": 16, "637982": 16, "930561": 16, "731583": 16, "837848": 16, "322755": 16, "167214": 16, "799983": 16, "810368": 16, "497386": 16, "878183": 16, "098326": 16, "930123": 16, "121628": 16, "082749": 16, "286821": 16, "555740": 16, "612755": 16, "244592": 16, "256813": 16, "946783": 16, "328953": 16, "546610": 16, "378764": 16, "596810": 16, "473691": 16, "568009": 16, "nwith": 16, "95511263": 16, "10645223": 16, "44966612": 16, "9912": [16, 19], "9383": [16, 19], "diagon": [16, 21, 24, 47, 50, 52], "infin": [16, 17], "query_point": 16, "85545875": 16, "80062924": 16, "30530902": 16, "01473536": 16, "60495488": 16, "96834506": 16, "92852376": 16, "53520104": 16, "52881619": 16, "84679073": 16, "7982": 16, "small_citi": 16, "one_c": 16, "small_train_df": 16, "drop_dupl": [16, 20, 46], "x_small_citi": 16, "y_small_citi": 16, "test_point": [16, 30, 56], "test_format": 16, "neighbor": [16, 17, 18, 19, 21, 27, 36, 37, 43, 44, 45, 51, 53, 59], "k_valu": 16, "neigh": [16, 36], "knn1": 16, "001711": 16, "003738": 16, "710526": 16, "001018": 16, "002070": 16, "684211": 16, "001090": 16, "002000": 16, "842105": 16, "000889": [16, 44], "001829": 16, "702703": 16, "000913": 16, "001886": 16, "837838": 16, "knn100": 16, "000939": [15, 16, 56], "004768": 16, "001145": 16, "000851": 16, "000830": 16, "000809": [16, 20], "000791": 16, "000787": 16, "001009": [15, 16], "000843": 16, "n_neighbour": 16, "mean_train_scor": [16, 19, 20, 22, 36, 38, 46, 48, 59], "mean_valid_scor": 16, "plot_knn_decision_boundari": 16, "mean_cv_scor": [16, 19, 20, 36, 38, 46, 59], "std_cv_score": [16, 36, 59], "755477": 16, "069530": 16, "831135": 16, "792603": 16, "046020": 16, "013433": 16, "819152": 16, "802987": 16, "041129": 16, "011336": 16, "801863": 16, "782219": 16, "074141": 16, "008735": 16, "777934": 16, "766430": 16, "062792": 16, "016944": 16, "755364": 16, "723613": 16, "061937": 16, "025910": 16, "743391": 16, "707681": 16, "057646": 16, "030408": 16, "728777": 16, "064452": 16, "021305": 16, "706128": 16, "681223": 16, "061241": 16, "018310": 16, "694155": 16, "660171": 16, "093390": 16, "018178": 16, "best_n_neighbour": 16, "idxmax": 16, "905": [16, 17], "lucki": [16, 20, 46], "weight": [16, 23, 25, 28, 29, 30, 36, 39, 40, 41, 45, 47, 49, 51, 52, 54, 55, 56, 57], "closer": [16, 17, 19], "plot_knn_regress": 16, "lazi": 16, "slow": [16, 23, 25, 30, 49, 51, 56], "modern": [16, 29, 38, 55], "stuff": [16, 32, 36, 40, 41], "classic": [16, 30, 38, 56], "paramter": 16, "statistician": 16, "mathcal": [16, 26, 52], "notat": 16, "storag": 16, "apart": [16, 27, 53], "irrelev": [16, 25, 29, 34, 51, 55], "hopelessli": 16, "accident": [16, 17], "swamp": 16, "make_classif": [16, 21, 44], "nfeats_accuraci": 16, "nfeat": 16, "dummy_valid_accuraci": 16, "knn_valid_accuraci": 16, "n_feat": 16, "2000": [16, 20, 21, 22, 23, 24, 25, 30, 33, 34, 38, 46, 48, 49, 50, 51, 56], "n_sampl": [16, 21, 26, 27, 30, 44, 47, 52, 53, 56], "n_featur": [16, 21, 26, 52], "n_class": [16, 21, 47], "dummy_scor": 16, "501875": 16, "946875": 16, "769375": 16, "505000": 16, "653125": 16, "304": [16, 41], "633125": 16, "404": [16, 25, 51], "501250": 16, "682500": 16, "504": [16, 25, 51], "505625": 16, "620625": 16, "604": 16, "502500": 16, "662500": 16, "704": [16, 17, 22, 48], "636875": 16, "804": [16, 25, 32, 51], "506250": 16, "579375": 16, "904": [16, 20, 43, 46], "513750": 16, "590625": 16, "1004": 16, "503125": 16, "616875": 16, "1104": 16, "617500": 16, "1204": 16, "623125": 16, "1304": [16, 32], "635000": 16, "504375": 16, "601875": 16, "1504": 16, "588125": 16, "1604": 16, "625625": 16, "1704": 16, "572500": 16, "1804": 16, "508750": 16, "556250": 16, "1904": 16, "radial": [16, 59], "superfici": 16, "rememb": [16, 18, 20, 21, 24, 25, 27, 30, 31, 38, 46, 50, 51, 53, 56, 58, 60], "803": [16, 17, 25, 51], "001220": 16, "002158": 16, "794118": 16, "819549": 16, "001207": 16, "002132": 16, "001132": 16, "002036": 16, "727273": 16, "850746": 16, "003419": 16, "002297": 16, "828358": 16, "001899": 16, "001910": 16, "939394": [16, 19], "783582": 16, "svc": [16, 17, 18, 19, 20, 23, 24, 25, 30, 36, 37, 39, 42, 43, 44, 45, 49, 50, 51, 56, 59, 60], "820": 16, "005337": 16, "002172": 16, "001399": 16, "000810": 16, "001210": 16, "000763": 16, "858209": [16, 19], "001253": 16, "843284": [16, 19], "001185": 16, "000767": 16, "805970": [16, 19], "zip": [16, 19, 28, 36, 45, 54], "plot_2d_separ": [16, 19, 45, 59], "set_titl": [16, 19, 21, 36, 45, 52, 59], "set_xlabel": [16, 19, 26, 45, 52, 59], "set_ylabel": [16, 19, 26, 45, 52, 59], "make_blob": [16, 26, 27, 30, 44, 52, 53, 56], "x_toi": [16, 17, 18, 31, 43], "y_toi": [16, 31, 54], "center": [16, 27, 30, 40, 44, 53, 56], "300": [16, 27, 29, 30, 34, 53, 55, 56], "support_": [16, 25, 51], "int32": [16, 26, 27, 31, 52, 53], "plot_support_vector": 16, "bigger": [16, 18, 19, 22, 24, 27, 29, 30, 31, 40, 41, 45, 48, 50, 53, 55, 56], "paramet": [16, 17, 18, 22, 23, 25, 26, 27, 29, 30, 31, 32, 34, 37, 45, 47, 49, 51, 52, 53, 55, 56, 58, 59], "smaller": [16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 31, 35, 43, 45, 48, 50, 51, 52, 53], "plot_svc_gamma": 16, "100000": [16, 18, 19, 20, 22, 31, 44, 46, 48], "plot_svc_c": 16, "till": [16, 32], "gridsearchcv": [16, 23, 24, 49, 50], "randomizedsearchcv": [16, 23, 24, 49, 50], "svr": [16, 18, 24, 50, 59], "detail": [16, 18, 23, 26, 28, 29, 30, 37, 40, 41, 47, 55, 56, 57], "poorli": [16, 22, 27, 31, 43, 53], "remov": [16, 17, 21, 23, 24, 25, 30, 32, 36, 39, 40, 41, 43, 49, 50, 51, 56], "toolbox": [16, 23, 29, 49], "nearbi": [16, 26, 52], "linger": 16, "categori": [16, 17, 21, 22, 23, 24, 25, 26, 30, 33, 36, 37, 39, 42, 43, 44, 45, 48, 49, 50, 51, 52, 56], "leftov": [17, 43], "simpleimput": [17, 18, 19, 20, 21, 22, 23, 24, 25, 31, 32, 39, 42, 43, 44, 45, 46, 48, 49, 50, 51], "cross_val_scor": [17, 18, 19, 20, 21, 22, 23, 24, 25, 31, 32, 37, 38, 39, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 59, 60], "kneighborsclassifi": [17, 18, 19, 25, 37, 43, 44, 45, 51, 59], "kneighborsregressor": [17, 18, 19, 43, 45, 59], "minmaxscal": [17, 37, 43], "onehotencod": [17, 19, 20, 21, 22, 23, 24, 25, 31, 32, 37, 39, 42, 43, 44, 45, 46, 48, 49, 50, 51, 60], "ordinalencod": [17, 18, 21, 22, 23, 24, 25, 31, 32, 39, 42, 43, 44, 48, 49, 50, 51], "tab": [17, 43], "anywher": [17, 18, 43], "preliminari": [17, 25, 43, 51], "queri": [17, 21, 23, 26, 29, 31, 32, 34, 36, 39, 49, 55, 57], "508": [17, 22, 32, 48], "000424": 17, "000700": 17, "507740": 17, "507752": [17, 20, 46], "000443": 17, "000264": 17, "000326": 17, "000240": 17, "000314": 17, "506211": [17, 20, 46], "508133": [17, 20, 46], "000400": 17, "000320": 17, "509317": [17, 20, 46], "507359": [17, 20, 46], "546": 17, "004876": 17, "009345": 17, "563467": 17, "717829": 17, "001628": 17, "007260": 17, "535604": 17, "721705": 17, "001522": 17, "007215": 17, "529412": 17, "708527": 17, "001367": 17, "007131": 17, "537267": 17, "721921": 17, "001373": 17, "006987": 17, "562112": 17, "711077": 17, "two_song": [17, 43], "acoust": [17, 20, 43, 46, 60], "danceabl": [17, 20, 43, 46, 60], "duration_m": [17, 20, 43, 46], "energi": [17, 20, 31, 43, 46, 60], "instrument": [17, 20, 43, 46, 60], "loud": [17, 20, 37, 43, 46, 60], "speechi": [17, 20, 43, 46, 60], "tempo": [17, 20, 43, 46, 60], "time_signatur": [17, 20, 43, 46, 60], "valenc": [17, 20, 25, 43, 46, 51, 60], "842": [17, 37, 38], "229000": 17, "494": [17, 43, 46], "147893": 17, "666": [17, 48], "000057": 17, "0469": 17, "743": [17, 25, 43, 46, 51], "0351": 17, "140": [17, 18, 28, 32, 36, 37, 41, 54], "832": [17, 38], "654": 17, "000289": 17, "771": 17, "227143": 17, "949": 17, "602000": 17, "5950": 17, "712": 17, "1750": 17, "111": [17, 20, 21, 22, 32, 39, 46, 47, 48], "959": [17, 37], "372": [17, 51], "79250": 17, "00543825": 17, "two_songs_subset": 17, "00525962": 17, "domin": [17, 22, 30, 34, 43, 56], "matter": [17, 18, 21, 23, 27, 42, 43, 47, 49, 53], "scaler": [17, 24, 25, 37, 43, 44, 50, 51], "trasform": [17, 43], "x_train_scal": [17, 25, 43, 44, 51], "x_test_scal": [17, 43, 44], "1505": 17, "004770": 17, "585": 17, "214740": 17, "614": 17, "000155": [17, 21, 47], "0762": 17, "594": 17, "0370": 17, "114": [17, 41], "2730": 17, "813": [17, 18], "114000": [17, 25, 51], "665": [17, 48], "216728": 17, "513": [17, 32], "303000": 17, "314": [17, 40, 41], "3310": 17, "344": [17, 28, 41, 54], "0373": 17, "615": 17, "030200": 17, "798": [17, 43, 48], "216585": 17, "481": 17, "1280": [17, 20, 22, 46, 48], "488": 17, "3140": 17, "136": [17, 28, 32, 34, 40, 41, 54], "6400": 17, "106000": 17, "194040": 17, "317": [17, 24, 40, 41], "000208": 17, "0723": 17, "0378": 17, "346": [17, 18, 32, 41, 43], "9490": 17, "021100": 17, "697": [17, 25], "236456": 17, "893000": 17, "1190": [17, 35], "787": [17, 48], "0339": 17, "119": [17, 18, 19, 25, 31, 43, 51, 59], "977": [17, 31], "3110": 17, "001060": 17, "584": 17, "274404": 17, "932": [17, 48], "002690": 17, "1290": 17, "501": [17, 25, 51], "3330": 17, "976": [17, 23, 49], "2110": 17, "1346": [17, 22, 24, 25, 34, 48, 51], "000021": 17, "535": [17, 25, 51], "203500": 17, "974": 17, "000149": [17, 36], "2630": 17, "566": 17, "1720": 17, "116": [17, 34, 40, 41, 59], "956": 17, "4310": [17, 43, 46], "503000": 17, "410": 17, "256333": 17, "648": [17, 23, 43, 46], "2190": [17, 28, 54], "469": [17, 21, 28, 54], "0362": 17, "391": [17, 23, 33], "3420": 17, "1389": [17, 22, 24, 48], "705000": 17, "894": [17, 49], "222307": 17, "161": 17, "003300": 17, "3120": [17, 28, 54], "311": [17, 21, 40, 41, 48], "0880": 17, "968": 17, "8180": 17, "1534": 17, "623000": 17, "470": [17, 25, 33, 51], "394920": 17, "156": [17, 20, 28, 39, 40, 46, 47, 54], "187000": 17, "1040": 17, "036": [17, 23, 30, 49], "0399": 17, "118": [17, 18, 19, 23, 25, 40, 50, 51, 59], "176": [17, 33, 34, 40], "0591": 17, "1613": 17, "3180174485124284": 17, "698": 17, "195": 17, "399": [17, 35], "318": 17, "492": [17, 21, 32], "276": 17, "738": [17, 22, 48], "396": [17, 32], "281": [17, 28, 54], "618": 17, "139": [17, 25, 28, 41, 51, 54], "296": [17, 34], "374": [17, 23], "796": [17, 48, 49], "598": 17, "487": 17, "439": 17, "052": 17, "781": [17, 28, 50, 54], "728": 17, "600": [17, 19, 29, 55], "376": [17, 22, 37, 48], "947": [17, 20, 25, 51], "493": [17, 32], "447": [17, 24, 51], "879": 17, "307": [17, 34, 40, 41, 48], "809": [17, 32], "722": 17, "170": [17, 27, 49, 53], "763": [17, 34], "461": [17, 20], "609": [17, 51], "840": 17, "825": 17, "635": 17, "057": 17, "723": 17, "458": [17, 51], "653": 17, "074": [17, 51], "754": 17, "x_train_predict": [17, 43], "x_test_predict": [17, 43], "x_train_transform": [17, 34, 43], "x_test_transform": [17, 43], "fit_transform": [17, 18, 21, 23, 24, 25, 28, 29, 31, 33, 37, 38, 39, 42, 43, 44, 49, 50, 51, 54, 55], "knn_unscal": [17, 43], "726": [17, 21, 25, 43], "552": [17, 22, 43, 48], "knn_scale": [17, 43], "686": [17, 43], "unscal": 17, "sloppi": [17, 28, 54], "sever": [17, 19, 26, 27, 29, 30, 31, 52, 53, 55, 56, 57], "california": [17, 25, 45, 51], "violat": [17, 18, 57], "californian": 17, "district": [17, 19], "housing_median_ag": [17, 18, 25, 43, 51], "total_room": [17, 18, 25, 43, 51], "total_bedroom": [17, 18, 25, 43, 51], "popul": [17, 18, 19, 25, 43, 51], "household": [17, 18, 19, 25, 43, 51], "median_incom": [17, 18, 25, 43, 51], "median_house_valu": [17, 18, 25, 43, 51], "ocean_proxim": [17, 18, 25, 43, 51], "6051": [17, 18, 43], "117": [17, 18, 19, 25, 41, 43, 59], "2948": [17, 18, 43], "2600": [17, 18, 28, 43], "602": [17, 18, 43], "113600": [17, 18, 43], "inland": [17, 18, 25, 43, 51], "20113": [17, 18, 43], "4861": [17, 18, 43], "137500": [17, 18, 43], "14289": [17, 18, 43], "3355": [17, 18, 43], "768": [17, 18, 34, 43, 50], "1457": [17, 18, 43], "708": [17, 18, 20, 43], "6604": [17, 18, 43], "170100": [17, 18, 43], "NEAR": [17, 18, 25, 43, 51], "ocean": [17, 18, 25, 43, 51], "13665": [17, 18, 43], "1634": [17, 18, 20, 34, 43, 46], "274": [17, 18, 31, 41, 43], "285": [17, 18, 31, 41, 43], "2139": [17, 18, 43], "129300": [17, 18, 43], "14471": [17, 18, 43], "5566": [17, 18, 43], "1465": [17, 18, 43], "6303": [17, 18, 43], "1458": [17, 18, 43], "8580": [17, 18, 43], "205000": [17, 18, 22, 43, 50], "rooms_per_household": [17, 18, 25, 43, 51], "bedrooms_per_household": [17, 18, 43], "population_per_household": [17, 18, 43], "897010": [17, 18], "056478": [17, 18], "318937": [17, 18], "300000": [17, 18, 31], "500000": [17, 18, 21, 22, 25, 27, 31, 35, 44, 47, 48, 53], "550000": [17, 18], "738701": [17, 18], "084746": [17, 18], "057910": [17, 18], "961404": [17, 18], "154386": [17, 18], "817558": [17, 18], "004801": [17, 18], "323045": [17, 18], "global": [17, 21, 23, 26, 33, 49], "safe": 17, "18576": [17, 18, 43], "19966": [17, 18, 25], "18391": [17, 18], "mb": [17, 18, 21, 25, 28, 31, 32, 47, 51, 54], "565888": 17, "627966": 17, "622255": 17, "061100": 17, "862552": 17, "206292": 17, "067991": 17, "426067": 17, "097516": 17, "052349": 17, "999622": 17, "134658": 17, "588307": 17, "383": [17, 25, 51], "044313": 17, "892491": 17, "115083": 17, "856175": 17, "512319": 17, "486266": 17, "020873": 17, "124": [17, 34, 41, 49, 55], "350000": 17, "540000": 17, "499900": 17, "14999": 17, "846154": [17, 25], "692308": 17, "930000": 17, "280": [17, 23, 25, 51], "560225": 17, "119400": 17, "439360": 17, "005888": 17, "430323": 17, "490000": 17, "250000": [17, 21, 22, 35, 44, 47, 48], "527500": 17, "179300": 17, "226415": 17, "048860": 17, "818868": 17, "010000": 17, "710000": 17, "606": 17, "736900": 17, "263600": 17, "051620": 17, "099723": 17, "283921": 17, "310000": 17, "950000": 17, "6082": 17, "000100": 17, "500001": 17, "141": [17, 19, 23, 40, 41], "909091": 17, "066667": 17, "1243": 17, "isnul": 17, "hist": [17, 20, 22, 25, 32, 37, 48, 51], "bin": [17, 20, 22, 25, 31, 37, 48, 51], "scatter": [17, 22, 25, 30, 44, 48, 56], "cmap": [17, 20, 21, 24, 30, 46, 47, 50, 56], "get_cmap": 17, "jet": 17, "colorbar": [17, 19, 47], "sharex": 17, "drope": 17, "var": 17, "b3": 17, "g26r0dcx4b35vf3nk31216hc0000gr": 17, "ipykernel_4440": 17, "4158382658": 17, "futurewarn": [17, 18, 22, 24, 48, 50], "__getitem__": [17, 18], "ser": [17, 18], "055": 17, "012": [17, 18, 30], "7763": [17, 25, 38], "6389": [17, 25], "584615": [17, 25], "769231": 17, "15377": [17, 25, 38], "779": [17, 25], "5391": [17, 25], "016688": [17, 25], "017972": 17, "127086": 17, "17730": [17, 25, 38], "6306": [17, 25], "958393": [17, 25], "031564": 17, "493544": 17, "15725": [17, 25, 38], "326": [17, 25, 40], "8750": [17, 25, 28, 54], "739264": [17, 25], "024540": 17, "720859": 17, "348": [17, 25, 41], "5156": [17, 25], "491379": [17, 25], "117816": 17, "566092": 17, "sort_valu": [17, 18, 19, 20, 22, 23, 24, 25, 31, 32, 35, 38, 46, 48, 49, 50, 51], "20248": 17, "0000": [17, 19, 21, 25, 38, 47, 52, 55], "888889": [17, 19, 21, 47], "222222": 17, "12649": 17, "6250": [17, 28, 54], "444444": 17, "3125": 17, "12138": 17, "785714": 17, "8219": [17, 28, 54], "5938": 17, "4591": 17, "1179": 17, "2254": 17, "096692": [17, 24, 50], "218830": 17, "19485": 17, "255": [17, 36], "9336": 17, "662745": 17, "572549": 17, "6962": 17, "357": [17, 41], "7328": 17, "535014": 17, "481793": 17, "14970": 17, "677": [17, 48], "6973": 17, "129985": 17, "098966": 17, "2064": 17, "x_train_imp": [17, 43], "x_test_imp": [17, 43], "amuel": 17, "coms4995": 17, "s19": 17, "aml": 17, "plot_scal": [17, 43], "908140": [17, 18, 43], "743917": [17, 18, 43], "526078": [17, 18, 43], "266135": [17, 18, 43], "389736": [17, 18, 43], "210591": [17, 18, 43], "083813": [17, 18, 43], "126398": [17, 18, 43], "002057": [17, 18, 43], "083123": [17, 18, 43], "923283": [17, 18, 43], "253312": [17, 18, 43], "198924": [17, 18, 43], "726412": [17, 18, 43], "166631": [17, 18, 43], "050132": [17, 18, 43], "218207": [17, 18, 43], "352930": [17, 18, 43], "380504": [17, 18, 43], "542873": [17, 18, 43], "635239": [17, 18, 43], "273606": [17, 18, 43], "025391": [17, 18, 43], "099240": [17, 18, 43], "128188": [17, 18, 43], "753286": [17, 18, 43], "843842": [17, 18, 43], "561467": [17, 18, 43], "714077": [17, 18, 43], "122307": [17, 18, 43], "280310": [17, 18, 43], "010183": [17, 18, 43], "168196": [17, 18, 43], "287344": [17, 18, 43], "500924": [17, 18, 43], "059242": [17, 18, 43], "640266": [17, 18, 43], "190617": [17, 18, 43], "126808": [17, 18, 43], "18571": [17, 18, 43], "733102": [17, 18, 43], "804818": [17, 18, 43], "586095": [17, 18, 43], "966131": [17, 18, 43], "118182": [17, 18, 43], "063110": [17, 18, 43], "099558": [17, 18, 43], "071541": [17, 18, 43], "18572": [17, 18, 43], "163195": [17, 18, 43], "057793": [17, 18, 43], "161606": [17, 18, 43], "728235": [17, 18, 43], "357500": [17, 18, 43], "235096": [17, 18, 43], "163397": [17, 18, 43], "007458": [17, 18, 43], "18573": [17, 18, 43], "097293": [17, 18, 43], "797355": [17, 18, 43], "876574": [17, 18, 43], "514155": [17, 18, 22, 43, 48], "934269": [17, 18, 43], "211892": [17, 18, 43], "135305": [17, 18, 43], "044029": [17, 18, 43], "18574": [17, 18, 43], "437367": [17, 18, 43], "008167": [17, 18, 43], "221622": [17, 18, 43], "454427": [17, 18, 43], "006578": [17, 18, 43], "273382": [17, 18, 43], "149822": [17, 18, 43], "132875": [17, 18, 43], "18575": [17, 18, 43], "242996": [17, 18, 43], "272667": [17, 18, 43], "684960": [17, 18, 43], "396991": [17, 18, 43], "711754": [17, 18, 43], "025998": [17, 18, 43], "042957": [17, 18, 43], "051269": [17, 18, 43], "7978563117812038": [17, 43], "saw": [17, 19, 20, 21, 26, 27, 43, 45, 46, 47, 51, 53], "fix": [17, 18, 23, 30, 32, 37, 43, 49, 56, 57], "realist": [17, 31, 36, 38, 43], "008132": 17, "152928": 17, "696373": [17, 43], "794236": [17, 43], "007522": 17, "127681": 17, "684447": [17, 43], "791467": [17, 43], "007437": 17, "138511": 17, "695532": [17, 43], "789436": [17, 43], "007342": 17, "140131": 17, "679478": [17, 43], "793243": [17, 43], "007334": 17, "085792": 17, "680657": [17, 43], "794820": [17, 43], "leak": [17, 43], "methodolog": [17, 31], "eleg": [17, 43, 55], "pipe": [17, 18, 19, 20, 21, 23, 25, 29, 30, 34, 43, 44, 45, 46, 47, 51, 55, 56], "earlier": [17, 23, 25, 31, 32, 49, 51], "shorthand": 17, "lowercas": [17, 18], "automat": [17, 18, 22, 25, 29, 30, 31, 32, 48, 51, 55, 56], "x27": [17, 18, 20, 21, 22, 23, 25, 30, 37, 38, 39, 40, 41, 43, 46, 48, 49, 56], "pipelinepipelin": [17, 18, 20, 21, 22, 25, 30, 38, 39, 43, 46, 48, 56], "simpleimputersimpleimput": [17, 18, 22, 23, 25, 37, 43, 48, 49], "standardscalerstandardscal": [17, 18, 20, 21, 22, 23, 25, 30, 37, 39, 43, 46, 48, 49, 56], "kneighborsregressorkneighborsregressor": [17, 18, 43], "x_train_imp_sc": [17, 43], "126500": 17, "117380": 17, "187700": 17, "259500": 17, "308120": 17, "60860": 17, "imp": [17, 18, 31], "017": [17, 18, 23, 24, 30, 34], "135": [17, 28, 31, 40, 41, 54], "013": [17, 18, 25, 32, 34, 49], "693": 17, "797": [17, 48], "kneighborregressor": 17, "theoret": [17, 21, 23, 43, 47, 49], "vietnames": [17, 43], "mandarin": [17, 43], "french": [17, 34, 43, 55], "spanish": [17, 43], "hindi": [17, 43], "simpli": [17, 25, 26, 34, 43, 51, 52, 55], "enc": [17, 18, 31, 43], "x_toy_ord": [17, 18, 43], "language_enc": [17, 43], "impos": 17, "warm": 17, "handle_unknown": [17, 18, 20, 21, 22, 23, 24, 31, 32, 37, 39, 42, 43, 44, 45, 46, 48, 49, 50, 60], "sparse_output": [17, 18, 21, 22, 23, 24, 31, 32, 37, 42, 43, 48, 49, 50], "x_toy_oh": [17, 43], "get_feature_names_out": [17, 18, 21, 22, 23, 24, 25, 29, 31, 32, 33, 37, 38, 39, 43, 44, 48, 49, 50, 51, 55], "language_english": [17, 43], "language_french": [17, 43], "language_hindi": [17, 43], "language_mandarin": [17, 43], "language_spanish": [17, 43], "language_vietnames": [17, 43], "int": [17, 18, 21, 23, 24, 25, 29, 31, 34, 39, 40, 41, 49, 50, 51, 55], "x_imp_ohe_train": 17, "categories_": [17, 18], "1h": [17, 18, 25, 51], "island": [17, 18], "bai": [17, 18, 25, 51], "transformed_oh": 17, "ocean_proximity_": [17, 18], "ocean_proximity_inland": [17, 18], "ocean_proximity_island": [17, 18], "ocean_proximity_near": [17, 18], "get_dummi": 17, "dummyregressor": [18, 23, 24, 25, 35, 42, 43, 44, 48, 49, 50, 51], "standardscal": [18, 19, 20, 21, 22, 23, 24, 25, 27, 28, 30, 31, 32, 37, 39, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 53, 54, 56, 60], "if_binari": [18, 21, 23, 24, 37, 39, 42, 44, 49, 50], "treatment": [18, 44], "enter": [18, 32, 37], "enjoy_cours": [18, 42, 44], "university_year": [18, 42, 44], "excel": [18, 19, 22, 24, 28, 32, 38, 42, 44, 48, 50], "mechan": [18, 42, 44], "econom": [18, 31], "physic": [18, 31], "enjoy_class": 18, "numeric_feat": [18, 20, 25, 37, 42, 44, 46, 51, 60], "categorical_feat": [18, 20, 37, 42, 44, 46, 60], "passthrough_feat": [18, 20, 42, 44, 46, 60], "drop_feat": [18, 37, 42, 44], "ct": [18, 44], "onehot": [18, 25, 29, 44, 51, 55], "passthrough": [18, 20, 25, 32, 44, 46, 51], "columntransformercolumntransform": [18, 20, 22, 23, 25, 37, 46, 48, 49], "passthroughpassthroughonehotencod": 18, "onehotencoderonehotencod": [18, 20, 22, 23, 37, 46, 48, 49], "dropdrop": [18, 23], "concaten": [18, 29, 34, 55], "09345386": [18, 44], "3589134": [18, 44], "21733442": [18, 44], "36269995": [18, 44], "84002795": [18, 44], "07471942": 18, "59082668": 18, "61420598": 18, "85597188": 18, "71219761": 18, "26447953": 18, "31655231": 18, "31297381": 18, "69393613": 18, "24295676": 18, "57640869": 18, "45653693": 18, "8878117": 18, "38043616": 18, "37797291": 18, "51503393": 18, "05478443": 18, "86907725": 18, "19213263": 18, "80482065": 18, "22697768": 18, "84440919": 18, "03256625": 18, "27875502": 18, "09430199": 18, "70678332": 18, "70560276": 18, "46530779": 18, "33308783": 18, "93869659": 18, "77484447": 18, "00830586": 18, "81970188": 18, "05465323": 18, "87406235": 18, "97203586": 18, "94959681": 18, "05598498": 18, "67562658": 18, "97328024": 18, "58137177": 18, "86267067": 18, "97223953": 18, "90403853": 18, "61234944": 18, "39896994": 18, "33682642": 18, "10247431": 18, "20087625": 18, "43827545": 18, "08031924": 18, "16063983": 18, "82273995": 18, "12436984": 18, "column_nam": [18, 44], "named_transformers_": [18, 21, 22, 23, 24, 25, 31, 32, 37, 39, 44, 48, 49, 50, 51], "major_biolog": [18, 44], "major_comput": [18, 44], "major_econom": [18, 44], "major_linguist": [18, 44], "major_mathemat": [18, 44], "major_mechan": [18, 44], "major_phys": [18, 44], "major_psycholog": [18, 44], "093454": [18, 44], "358913": [18, 44], "217334": [18, 44], "362700": [18, 44], "840028": [18, 44], "074719": [18, 44], "590827": [18, 44], "614206": [18, 44], "855972": [18, 44], "712198": [18, 44], "264480": [18, 44], "316552": [18, 44], "312974": [18, 44], "693936": [18, 44], "242957": [18, 44], "576409": [18, 44], "456537": [18, 44], "887812": [18, 44], "380436": [18, 44], "377973": [18, 44], "515034": [18, 44], "054784": [18, 44], "869077": 18, "192133": 18, "804821": 18, "226978": 18, "844409": 18, "032566": 18, "278755": 18, "094302": 18, "706783": 18, "705603": 18, "465308": 18, "333088": 18, "938697": 18, "774844": 18, "008306": 18, "819702": 18, "054653": 18, "874062": 18, "972036": 18, "949597": 18, "055985": 18, "675627": 18, "973280": 18, "581372": 18, "862671": 18, "972240": 18, "904039": 18, "612349": 18, "398970": 18, "336826": 18, "102474": 18, "200876": 18, "438275": 18, "080319": 18, "160640": 18, "822740": 18, "124370": 18, "dropdropsvcsvc": 18, "tricki": [18, 20, 24, 28, 46, 50, 54], "diagram": [18, 20, 23, 24, 46, 49, 50], "x_transform": 18, "893260": 18, "294251": 18, "704099": 18, "103439": 18, "100139": [18, 20], "105089": 18, "303109": 18, "504429": 18, "492270": 18, "092930": 18, "493921": 18, "094581": 18, "693590": 18, "class_attendance_enc": 18, "class_attendance_level": 18, "revers": [18, 22], "oe": [18, 42], "ca_transform": 18, "inner": [18, 20, 29, 55], "ordinal_feat": [18, 37], "ordinalencoderordinalencod": [18, 22, 23, 48, 49], "_valid": [18, 37], "824": 18, "partit": [18, 26, 27, 37, 52, 53], "_score": 18, "scorer": [18, 22, 37, 48], "_scorer": [18, 37], "527": [18, 37], "__call__": [18, 28, 34, 37], "749": [18, 37], "xt": [18, 37], "_set_output": [18, 37], "data_to_wrap": [18, 37], "_column_transform": 18, "816": 18, "xs": [18, 34], "_fit_transform": 18, "670": 18, "parallel": [18, 20, 23, 28, 43, 46, 49], "n_job": [18, 21, 22, 23, 28, 46, 48, 49], "super": [18, 40, 41, 42], "iterable_with_config": 18, "joblib": [18, 28], "return_gener": [18, 28], "1792": [18, 28], "_get_sequential_output": [18, 28], "933": [18, 48], "_transform_on": 18, "_encod": [18, 37], "1016": [18, 30, 31, 36, 37, 56], "x_int": [18, 37], "x_mask": [18, 37], "_transform": [18, 37], "msg": [18, 32, 37, 48], "005834": [], "002456": [], "004450": 18, "002241": [], "004330": [], "002239": [], "004316": 20, "002218": [], "004323": [], "007084": [], "throw": [18, 30, 32, 33, 56, 58], "simplest": [18, 40], "005123": [], "002337": [], "004418": [], "002244": [], "004350": [], "002256": [], "004328": 18, "002267": [], "004343": [], "002226": [], "behaviour": [18, 28, 54], "provinc": [18, 29, 55], "ohehotencod": 18, "presenc": [18, 24, 44, 50], "absenc": [18, 24, 44, 50], "ohe_enc": 18, "enjoy_course_enc": 18, "binary_feat": [18, 37], "005860": [], "002741": [], "004977": [], "002603": [], "005002": [], "002608": [], "005004": [], "002642": 18, "004937": [], "002600": [], "9730": 18, "611": 18, "3814": 18, "286416": 18, "014730": 18, "944354": 18, "14690": 18, "360": 18, "7188": 18, "008333": 18, "019444": 18, "541667": [18, 44], "7938": 18, "3889": 18, "078880": 18, "043257": 18, "127226": 18, "18365": 18, "8691": 18, "232143": 18, "142857": 18, "660714": 18, "10931": 18, "922": 18, "9926": 18, "634490": 18, "046638": 18, "195228": 18, "numeric_featur": [18, 21, 22, 23, 24, 25, 31, 32, 39, 48, 49, 50, 51], "categorical_featur": [18, 21, 22, 23, 24, 31, 32, 39, 48, 49, 50], "8221": 18, "5915": 18, "2389": 18, "2046": 18, "numeric_transform": [18, 21, 22, 23, 24, 31, 37, 39, 48, 49, 50], "categorical_transform": [18, 21, 22, 23, 24, 31, 37, 39, 48, 49, 50], "preprocessor": [18, 20, 21, 22, 23, 24, 25, 31, 32, 37, 39, 46, 48, 49, 50, 51, 60], "x_train_pp": 18, "knn_pipe": 18, "025": [18, 21, 24, 49], "003": [18, 20, 23, 24, 46, 49, 50], "192": [18, 40, 41], "016": 18, "706": 18, "806": 18, "svr_pipe": 18, "163": [18, 35], "086": [18, 24], "153": [18, 50], "049": [18, 49], "svr_c_pipe": 18, "528": [18, 22, 48], "149": [18, 32, 34, 36, 41], "713": 18, "contin": 18, "south": [18, 29, 55], "asia": 18, "Or": [18, 20, 59], "race": [18, 21, 23, 24, 39, 49, 50], "toy_spam": [18, 44], "urgent": [18, 29, 33, 44, 55], "prize": [18, 33, 44, 49], "lol": [18, 33, 44], "convinc": [18, 33, 44], "nah": [18, 44], "usf": [18, 44], "membership": [18, 26, 27, 44, 52, 53], "jackpot": [18, 44], "mobil": [18, 44], "entitl": [18, 44], "latest": [18, 24, 32, 44, 50], "co": [18, 44, 52], "08002986030": [18, 44], "congrat": [18, 44], "toy_df": [18, 29, 44, 55], "nlp": [18, 25, 30, 34, 51, 56], "spoken": 18, "tf": 18, "idf": 18, "compon": [18, 21, 28, 31, 44, 47, 52, 54, 57], "vocabulari": [18, 19, 34, 44, 60], "corpu": [18, 21, 33, 34], "plural": 18, "corpora": [18, 29, 34, 55], "vec": [18, 29, 33, 38, 44, 55], "x_count": [18, 33, 44], "bow_df": [18, 33, 44], "toarrai": [18, 24, 31, 33, 38, 44, 50], "6x61": 18, "massiv": [18, 20, 46], "nonzero": 18, "overhead": 18, "fraction": [18, 21, 28, 54], "huge": [18, 22, 29, 30, 31, 32, 34, 48, 55, 56], "prod": [18, 20, 46], "nnz": 18, "vocabulary_": 18, "366": [18, 31], "1940": 18, "frequenc": [18, 29, 34, 55], "max_df": 18, "min_df": 18, "ngram_rang": [18, 33], "vec_binari": 18, "vec8": 18, "vec8_binari": 18, "unexpect": [18, 19, 20, 45, 46], "match": [18, 19, 21, 23, 24, 31, 48, 50, 58], "ti": [18, 52, 59], "prone": [18, 20, 46], "habit": 18, "punctuat": 18, "charact": [18, 21, 33], "token_pattern": 18, "countvectorizercountvector": [18, 38], "svcsvc": [18, 20, 21, 39, 46], "composit": 18, "surprisingli": [18, 19], "3dp5h": [18, 19, 44, 51], "encount": [18, 44, 45], "slightli": [18, 19, 21, 23, 32, 36, 37, 44, 45, 49], "handle_unknow": [18, 44], "tfidfvector": [19, 33, 45], "hypothet": [19, 45], "snake": [19, 30, 45], "seed": [19, 20, 26, 27, 36, 40, 41, 45, 52, 53], "x_1": [19, 25, 26, 45, 51, 52], "linspac": [19, 20, 22, 25, 45, 46, 48, 51], "randn": [19, 25, 45, 51], "ab": [19, 21, 22, 24, 45, 47, 48, 50], "snakes_df": [19, 45], "489130": [19, 45], "507995": [19, 45], "073233": [19, 45], "658047": [19, 45], "622709": [19, 45], "748797": [19, 45], "984653": [19, 45], "731572": [19, 45], "484937": [19, 45], "016555": [19, 45], "markers": [19, 21, 45, 47], "grid": [19, 22, 28, 32, 45, 48, 54], "orang": 19, "snake_length": [19, 45], "20683258": [19, 45], "slope": 19, "coef_": [19, 22, 23, 24, 25, 28, 30, 31, 32, 38, 45, 48, 49, 50, 51, 54, 56], "intercept_": [19, 23, 30, 45, 49, 56], "respect": [19, 20, 21, 23, 24, 49, 50, 58, 59], "26370005": [19, 45], "259057547817185": 19, "w_1": [19, 29, 45, 55], "hat": [19, 22, 23, 45, 48, 49, 51], "w_1x_1": [19, 45], "hyperplan": [19, 45], "w_d": [19, 45], "x_d": [19, 45], "bia": [19, 21, 24, 39, 42, 45, 50], "offset": [19, 45], "footag": 19, "002": [19, 23, 24, 32, 49, 51, 55], "1875": [19, 55], "w_2x_2": 19, "w_3x_3": 19, "w_4x_4": 19, "plane": 19, "linearregress": [19, 22, 25, 32, 42, 45, 48, 51], "vanilla": [19, 45], "IT": [19, 45], "boston": 19, "neighborhood": [19, 22, 24, 48, 50], "crime": 19, "neighbourhood": [19, 25, 27, 51, 53], "proxim": 19, "charl": 19, "river": 19, "highwai": 19, "fetch_california_h": [19, 45, 58], "medinc": [19, 45], "houseag": 19, "averoom": [19, 45], "avebedrm": 19, "aveoccup": 19, "303030": 19, "082251": 19, "725": [19, 20, 46], "138528": 19, "506410": 19, "134615": 19, "1026": [19, 31], "288462": 19, "0474": 19, "419355": 19, "006452": 19, "767742": 19, "2794": 19, "546473": 19, "044166": 19, "5146": 19, "392221": 19, "5551": 19, "018487": 19, "016807": 19, "1886": 19, "169748": 19, "16507": [19, 25, 51], "0185": 19, "205479": 19, "863014": 19, "434": [19, 43, 46], "981735": 19, "16508": [19, 25, 51], "6320": [19, 32], "462963": 19, "851852": 19, "16509": [19, 25, 51], "9808": 19, "678689": 19, "006557": 19, "999": [19, 25, 51], "275410": 19, "16510": [19, 25, 51], "8195": 19, "585513": 19, "961771": 19, "1645": 19, "309859": 19, "16511": [19, 25, 51], "7315": 19, "368304": 19, "738839": 19, "1085": 19, "421875": 19, "16512": [19, 25, 51], "descr": 19, "_california_housing_dataset": 19, "20640": [19, 25, 51], "block": [19, 32], "statlib": 19, "dcc": 19, "fc": 19, "pt": [19, 20, 46], "ltorgo": 19, "cal_hous": 19, "hundr": 19, "1990": [19, 43, 46], "censu": [19, 21, 23, 24, 39, 49, 50], "smallest": [19, 22, 26, 27, 48, 53], "geograph": 19, "bureau": 19, "resid": 19, "empti": [19, 28, 29, 30, 32, 34, 36, 40, 41, 55, 56], "resort": 19, "kellei": 19, "ronald": 19, "barri": 19, "spatial": 19, "autoregress": 19, "1997": [19, 20, 35], "297": [19, 34], "006192": [], "000501": [], "599492": 19, "608050": 19, "003066": [], "000507": [], "613507": 19, "604619": 19, "002927": [], "000448": 46, "598100": 19, "608468": 19, "004280": [], "000437": [], "612621": 19, "604797": 19, "002718": [], "000434": [], "601790": 19, "606902": 19, "scores_dict": [19, 38], "pipe_ridg": [19, 22, 45, 48], "606567": 19, "605101": 19, "605102": 19, "606557": 19, "605100": 19, "605696": 19, "604320": 19, "579432": 19, "578523": 19, "431137": 19, "430868": 19, "116167": 19, "115956": 19, "underfit": [19, 20, 30, 35, 45, 46, 56, 59], "coeff": [19, 38, 45], "named_step": [19, 21, 22, 23, 24, 25, 31, 34, 38, 45, 48, 49, 50, 51], "827039": 19, "117058": 19, "265273": 19, "307521": 19, "003194": 19, "039498": 19, "895963": 19, "866110": 19, "0667579112160865": 19, "accord": [19, 21, 22, 25, 28, 32, 45, 47, 51, 54, 57], "piec": [19, 32, 38, 45], "invers": [19, 22, 45, 48], "multipli": [19, 20, 21, 23, 25, 32, 46, 49, 51], "coef_df": [19, 24, 50], "grain": [19, 24, 50], "salt": [19, 24, 50], "simpler": [19, 20, 35, 46], "movi": [19, 25, 29, 38, 51, 55], "asleep": 19, "enjoi": [19, 38, 58], "flawless": [19, 38], "x_i": [19, 28, 54], "plot_logistic_regress": 19, "960": [19, 37], "y_hat": [19, 23, 45, 49], "toward": [19, 24, 29, 38, 45, 50, 55, 57], "w_0": [19, 45], "floatslid": [19, 21, 26, 27, 53, 59], "w_dx_d": [19, 45], "tx": [19, 25, 45], "geq": [19, 45], "000288": 46, "000625": [], "588235": 19, "601504": 19, "000160": [], "000287": 20, "000147": [], "000271": [], "606061": 19, "597015": 19, "000136": [], "000260": [], "000137": [], "000253": [], "lr": [19, 21, 22, 24, 25, 30, 31, 32, 45, 48, 50, 51, 56], "007157": [], "000384": [], "852941": 19, "827068": 19, "002208": [], "000272": 19, "002028": [], "000261": [], "696970": 19, "002125": [], "000247": [], "002146": [], "04108149": 19, "33683126": 19, "8869838": 19, "041081": 19, "336831": 19, "li": 19, "8001": 19, "098": [19, 30], "97817876": 19, "alphabet": 19, "classes_": [19, 21, 23, 24, 30, 38, 47, 49], "978": 19, "divid": [19, 21, 23, 24, 31, 45, 49, 50], "__class__": [19, 31, 45], "gamma": [19, 20, 23, 43, 45, 46, 49, 59], "0001": [19, 21, 22, 46, 48, 52], "664707": 19, "658645": 19, "0010": 19, "784424": 19, "790731": 19, "0100": 19, "827842": 19, "826203": 19, "832320": 19, "820143": 19, "soft": [19, 23, 26, 37, 45, 49, 52], "87848688": 19, "12151312": 19, "redund": [19, 24, 50], "aka": [19, 32, 45], "squash": [19, 45], "exp": [19, 32, 45], "raw_model_output": [19, 45], "data_dict": [19, 45], "7046068097086478": 19, "2953931902913523": 19, "5630169062040135": 19, "43698309379598654": 19, "8389680973255862": 19, "16103190267441386": 19, "7964150775404333": 19, "20358492245956678": 19, "901080665234097": 19, "09891933476590302": 19, "7753006388010788": 19, "22469936119892117": 19, "030740704606528224": 19, "9692592953934718": 19, "6880304799160926": 19, "3119695200839075": 19, "7891358587234142": 19, "21086414127658581": 19, "006546969753885579": 19, "9934530302461144": 19, "2787419584843105": 19, "7212580415156895": 19, "8388877146644935": 19, "16111228533550653": 19, "least_confident_x": 19, "7599": 19, "6858": 19, "078": [19, 23], "least_confident_i": 19, "prob": [19, 23, 49], "634392": 19, "365608": 19, "635666": 19, "364334": 19, "most_confident_x": 19, "110": [19, 24, 28, 30, 56], "9748": 19, "2229": 19, "most_confident_i": 19, "165": [19, 22, 28, 40, 48, 49], "010028": 19, "989972": 19, "901081": 19, "098919": 19, "over_confident_x": 19, "over_confident_i": 19, "961902": 19, "038098": 19, "931792": 19, "068208": 19, "alaska": 19, "mainland": 19, "listedcolormap": [19, 45], "ncol": 19, "scores_imag": 19, "plot_2d_scor": 19, "cm": [19, 21, 24, 28, 29, 47, 50, 54, 55, 59], "coolwarm": 19, "cbar": 19, "uncertainti": [19, 21, 47], "hyperparlan": [19, 45, 46], "uncertain": [19, 45, 46], "linear_svc": 19, "0195598": 19, "23640124": 19, "22811601": 19, "w_j": [19, 38, 45, 51], "x_": [19, 38, 45, 51, 59], "ij": [19, 26, 28, 33, 38, 45, 54], "linearli": [19, 25, 45, 51], "draw": [19, 20, 29, 45, 55], "datapoint": [19, 45], "xor": [19, 25, 51], "x_2": [19, 25, 26, 51, 52], "parametr": [20, 27, 53], "pictur": [20, 23, 24, 27, 29, 38, 49, 50, 53, 55], "set_config": [20, 23, 46, 49], "night": [20, 21, 31, 38, 55], "10th": [20, 21, 23, 24, 39, 46, 49, 50], "disadvantag": [20, 23, 27, 46, 49, 53], "infeas": [20, 46], "plot_grid_search_overview": [20, 46], "y_spotifi": [20, 46, 60], "text_feat": [20, 37, 46], "make_column_transform": [20, 21, 22, 23, 24, 25, 31, 32, 37, 39, 42, 44, 46, 48, 49, 50, 51], "stop_word": [20, 21, 25, 29, 34, 37, 38, 46, 51, 55, 60], "svc_pipe": [20, 46, 60], "best_scor": [20, 46], "dt_pipe": [20, 46], "best_param": [20, 46], "7309385996961713": 20, "pipe_svm": [20, 46], "passthroughpassthroughcountvectorizersong_titlecountvectorizercountvector": [20, 46], "043634": 20, "010538": 20, "734011": [20, 46], "828891": [20, 46], "loop": [20, 23, 30, 31, 46, 49, 56], "best_paramet": [20, 46], "7352614272253524": [20, 46], "735261": [20, 46], "722249": [20, 46], "716657": [20, 46], "716655": [20, 46], "705511": [20, 46], "701173": [20, 46], "691877": [20, 46], "677601": [20, 46], "673277": [20, 46], "652828": [20, 46], "xticklabel": [20, 46], "yticklabel": [20, 46], "viridi": [20, 46, 55], "polycollect": [20, 46], "0x17a609330": 20, "180": [20, 22, 48, 49], "retrain": [20, 46], "full": [20, 23, 30, 31, 38, 46, 49, 52, 56, 57], "doubl": 20, "asterisk": 20, "vecom": 20, "compact": [20, 25, 46, 51], "instanti": [20, 35, 46], "columntransformer__countvectorizer__max_featur": [20, 46], "svc__gamma": [20, 46], "svc__c": [20, 46], "gs": 20, "behav": [20, 24, 46, 50], "gridsearchcvgridsearchcv": [20, 46], "best_score_": [20, 22, 48], "best_params_": [20, 22, 48], "7395977155164125": 20, "cv_results_": [20, 22, 46, 48], "210": [20, 34, 46], "211": [20, 41, 46], "215": [20, 46], "mean_fit_tim": [20, 22, 46, 48], "09362": 20, "090496": 20, "093034": 20, "081402": 20, "083386": 20, "079499": 20, "088536": 20, "097821": 20, "088655": 20, "086925": 20, "138336": 20, "124506": 20, "126638": 20, "116394": 20, "092997": 20, "160912": 20, "12998": 20, "11663": 20, "134479": 20, "114185": 20, "std_fit_tim": [20, 22, 46, 48], "002245": 20, "007851": 20, "003061": 20, "006539": 20, "005313": 20, "008247": 20, "016187": 20, "012647": 20, "00674": 20, "009408": 20, "019875": 20, "00394": 20, "005157": 20, "006984": 20, "007498": 20, "005194": 20, "003368": 20, "027403": 20, "009475": 20, "mean_score_tim": [20, 22, 46, 48], "026274": 20, "022236": 20, "023867": 20, "020585": 20, "021553": 20, "024314": 20, "026362": 20, "020904": 20, "018969": 20, "020618": 20, "022381": 20, "024938": 20, "025389": 20, "027556": 20, "025549": 20, "020927": 20, "022487": 20, "033786": 20, "027255": 20, "024416": 20, "std_score_tim": [20, 22, 46, 48], "00278": 20, "001885": 20, "006274": 20, "004214": 20, "002736": 20, "003899": [20, 25], "009461": 20, "004083": 20, "00275": 20, "003466": 20, "003687": 20, "004545": 20, "001204": 20, "004307": 20, "004743": 20, "00318": 20, "00124": 20, "009491": 20, "004045": 20, "005211": 20, "param_columntransformer__countvectorizer__max_featur": [20, 46], "param_svc__c": [20, 46], "param_svc__gamma": [20, 46], "param": [20, 22, 46, 48], "split0_test_scor": [20, 46], "50774": [20, 46], "733746": [20, 46], "616099": [20, 46], "504644": [20, 46], "718266": [20, 46], "724458": [20, 46], "split1_test_scor": [20, 46], "77709": [20, 46], "625387": [20, 46], "510836": [20, 46], "739938": [20, 46], "split2_test_scor": [20, 46], "690402": [20, 46], "606811": [20, 46], "693498": [20, 46], "687307": [20, 46], "split3_test_scor": [20, 46], "708075": [20, 46], "618012": [20, 46], "68323": [20, 46], "704969": [20, 46], "split4_test_scor": [20, 46], "723602": [20, 46], "645963": [20, 46], "720497": [20, 46], "717391": [20, 46], "mean_test_scor": [20, 22, 46, 48], "50775": [20, 46], "726583": [20, 46], "622454": [20, 46], "50899": [20, 46], "508371": [20, 46], "70799": [20, 46], "717289": [20, 46], "721008": [20, 46], "000982": [20, 46], "029198": [20, 46], "013161": [20, 46], "001162": [20, 46], "002105": [20, 46], "01647": [20, 46], "012616": [20, 46], "025396": [20, 46], "rank_test_scor": [20, 22, 46, 48], "split0_train_scor": [20, 46], "828682": [20, 46], "989147": [20, 46], "split1_train_scor": [20, 46], "999225": [20, 46], "834109": [20, 46], "989922": [20, 46], "split2_train_scor": [20, 46], "99845": [20, 46], "827907": [20, 46], "987597": [20, 46], "split3_train_scor": [20, 46], "998451": [20, 46], "841208": [20, 46], "989156": [20, 46], "split4_train_scor": [20, 46], "82804": [20, 46], "988381": [20, 46], "99907": [20, 46], "999535": [20, 46], "831989": [20, 46], "988841": [20, 46], "000245": [19, 20, 31, 46], "00058": [20, 46], "00038": [20, 46], "005151": [20, 46], "00079": [20, 46], "216": [20, 40, 41, 46], "082239": 20, "091365": 20, "075905": 20, "079365": 20, "074667": 20, "071952": 20, "114204": 20, "120616": 20, "111872": 20, "095529": 20, "094435": 20, "086811": 20, "084239": 20, "084668": 20, "114835": 20, "133654": 20, "100802": 20, "084321": 20, "017929": 20, "009019": 20, "001863": 20, "002799": 20, "005709": 20, "012657": 20, "004517": 20, "013534": 20, "004554": 20, "008126": 20, "005758": 20, "001365": 20, "001992": 20, "002249": 20, "030487": 20, "010186": 20, "01529": 20, "006017": 20, "02044": 20, "023177": 20, "020847": 20, "019106": 20, "016048": 20, "016085": 20, "019604": 20, "021965": 20, "016905": 20, "025864": 20, "022135": 20, "022843": 20, "022825": 20, "024425": 20, "022338": 20, "027007": 20, "021059": 20, "020835": 20, "00605": 20, "003086": 20, "005943": 20, "000669": 20, "002716": 20, "003923": 20, "00054": 20, "004778": 20, "001155": 20, "007156": 20, "00148": 20, "004053": 20, "001528": 20, "001748": 20, "003598": 20, "001511": [20, 36], "004258": 20, "003631": 20, "767802": 20, "76161": 20, "758514": 20, "727554": 20, "770898": 20, "755418": 20, "783282": 20, "71517": 20, "708978": 20, "712074": 20, "714286": 20, "729814": 20, "732919": 20, "701863": 20, "739598": [20, 46], "738977": [20, 46], "736498": [20, 46], "735879": [20, 46], "727829": [20, 46], "727198": [20, 46], "726573": [20, 46], "022629": 20, "025689": 20, "024028": 20, "021345": 20, "019839": 20, "020414": 20, "028337": 20, "028351": 20, "032404": 20, "889147": 20, "903101": 20, "881395": 20, "886047": 20, "872093": 20, "856589": 20, "993023": 20, "996899": 20, "986047": 20, "877519": 20, "895349": 20, "858915": 20, "873643": 20, "847287": 20, "83876": 20, "994574": 20, "888372": 20, "897674": 20, "87907": 20, "887597": 20, "85969": 20, "849612": 20, "884586": 20, "902401": 20, "869094": 20, "879938": 20, "859799": 20, "852053": 20, "992254": 20, "982184": 20, "876065": 20, "891557": 20, "861348": 20, "874516": 20, "850503": 20, "841983": 20, "993029": 20, "985283": 20, "883138": 20, "898016": 20, "869964": 20, "880348": 20, "857874": 20, "847799": 20, "992406": 20, "994266": 20, "986207": 20, "005426": 20, "004337": 20, "009063": 20, "00573": 20, "008667": 20, "006545": 20, "001792": 20, "001594": 20, "002561": 20, "7574257425742574": [20, 46], "configur": [20, 22, 23, 46, 49], "cpu": [20, 30, 36, 40, 41, 56], "nest": 20, "exponenti": [20, 46], "effici": [20, 26, 29, 46, 55], "ldot": 20, "magnitud": [20, 22, 24, 29, 31, 38, 45, 48, 50, 55], "display_heatmap": 20, "grid_search": [20, 46], "param_grid1": 20, "heat": [20, 22, 24, 48, 50], "darker": 20, "adjust": [20, 27, 31, 46, 53, 58, 59], "logspac": [20, 36], "84893192": 20, "11886432": 20, "81071706": 20, "09573445": 20, "param_grid2": 20, "param_grid3": 20, "param_grid4": 20, "random_search": [20, 46], "param_distribut": [20, 46], "randomizedsearchcvrandomizedsearchcv": [20, 46], "744565": 20, "743324": 20, "743323": 20, "742088": 20, "742086": 20, "741465": 20, "740844": 20, "740842": 20, "738984": 20, "0904": 20, "093338": 20, "073276": 20, "095493": 20, "105559": 20, "089195": 20, "102287": 20, "094115": 20, "093518": 20, "081567": 20, "10582": 20, "119814": 20, "108882": 20, "101262": 20, "09743": 20, "109406": 20, "112171": 20, "096542": 20, "113092": 20, "198402": 20, "expon": [20, 59], "lognorm": 20, "loguniform": [20, 46], "randint": [20, 46], "uniform": [20, 21, 27, 46, 47, 53], "norm": [20, 26, 29, 37, 51, 52, 55], "rv": [20, 52], "edgecolor": 20, "param_dist": [20, 46], "1e4": [20, 46], "1e": [20, 22, 46, 48], "1e3": [20, 46], "_distn_infrastructur": [20, 46], "rv_discrete_frozen": [20, 46], "0x17a779450": 20, "rv_continuous_frozen": [20, 46], "0x17ab11fc0": 20, "0x17acdec20": 20, "7278214718381631": 20, "727821": 20, "722241": 20, "721616": 20, "721006": 20, "715424": 20, "712324": 20, "711717": 20, "711086": 20, "70988": 20, "709874": 20, "50713": 20, "1619": [20, 34], "1014": [20, 30, 36, 56], "688": [20, 28, 54], "1880": [20, 28, 54], "224": [20, 30, 56], "987": [20, 49], "386": 20, "1963": 20, "928": 20, "1953": [20, 22, 48], "445": 20, "1397": 20, "776": 20, "1715": 20, "1562": 20, "1854": 20, "1631": [20, 34], "123539": 20, "165811": 20, "336735": 20, "101688": 20, "000976": [15, 20], "126563": 20, "000508": 20, "000917": 20, "032324": 20, "000503": 20, "053918": 20, "226": [15, 20], "698857": 20, "024122": 20, "387": [20, 32, 46], "490568": 20, "268": 20, "760262": 20, "845": 20, "206099": 20, "257024": 20, "601": 20, "401895": 20, "984": 20, "435792": 20, "3012": 20, "7551": 20, "390429": 20, "477": [20, 23], "418069": 20, "8502": 20, "828976": 20, "2806": 20, "696859": 20, "9471": 20, "173025": 20, "9295": 20, "688135": 20, "559": 20, "066944": 20, "3590": 20, "67449": 20, "7951": 20, "972198": 20, "1520": 20, "347523": 20, "7758": 20, "841886": 20, "9203": [20, 34], "835651": 20, "3089": 20, "543297": 20, "2144": 20, "534114": 20, "7736": 20, "150115": 20, "2451": 20, "353961": 20, "1813": 20, "530052": 20, "1564": 20, "825306": 20, "718242": 20, "389": [20, 25], "888811": 20, "126102": 20, "176774": 20, "107119": 20, "130691": 20, "46922": 20, "122202": 20, "100362": 20, "246759": 20, "151667": 20, "173214": 20, "157089": 20, "123943": 20, "146099": 20, "112194": 20, "169945": 20, "104168": 20, "107437": 20, "11166": 20, "11174": 20, "concentr": 20, "bergstra": [20, 46], "bengio": [20, 46], "jmlr": [20, 46], "yellow": [20, 46], "unimport": [20, 24, 33, 46, 50], "useless": [20, 24, 25, 46, 50, 51], "candid": [20, 23, 29, 46, 55], "checkout": [20, 22, 46, 48], "experiment": [20, 46], "enable_halving_search_cv": [20, 46], "noqa": [20, 46], "halvingrandomsearchcv": [20, 46], "rsh": [20, 46], "halvingrandomsearchcvhalvingrandomsearchcv": [20, 46], "params_str": [20, 46], "n_resourc": [20, 46], "008637": 20, "005436": 20, "003918": 20, "001374": 20, "7129": [20, 46], "653205": [20, 46], "026777": [20, 46], "653205232272": [20, 46], "02677733855112973": [20, 46], "005105": 20, "003716": 20, "001752": 20, "1222": [20, 46, 48], "5513": [20, 46], "247691": [20, 46], "698385": [20, 46], "247690828913": [20, 46], "698384608345687": [20, 46], "367423": [20, 46], "004306": 20, "002255": 20, "000225": 20, "1247": [20, 46], "7800": [20, 46], "377619": [20, 46], "019382": [20, 46], "377619120792": [20, 46], "019381838999846482": [20, 46], "004415": 20, "000277": 20, "002346": 20, "000282": 20, "4809": [20, 46], "419015": [20, 46], "013707": [20, 46], "41901484361": [20, 46], "013706928443177698": [20, 46], "359784": [20, 46], "000297": 20, "002292": 20, "000241": [20, 36], "1042": [20, 46], "6273": [20, 46], "270093": [20, 46], "003919": [20, 36, 46], "270093376167": [20, 46], "003919287722401839": [20, 46], "406202": [20, 46], "640": [20, 46], "018303": 20, "000372": 20, "004555": 20, "000103": 20, "729": [20, 32, 46], "4943": [20, 46], "40065": [20, 46], "092454": [20, 46], "400649628005": [20, 46], "09245358900622544": [20, 46], "051925": [20, 46], "017674": 20, "000300": 20, "004712": [20, 46], "000077": 20, "1383": [20, 46], "2705": [20, 46], "246646": [20, 46], "173979": [20, 46], "246646103936": [20, 46], "1739787032867638": [20, 46], "046116": [20, 46], "016892": 20, "000119": 20, "004425": 20, "000041": 20, "440": [20, 31, 46], "5315": [20, 46], "613738": [20, 46], "17973": [20, 46], "613738418384": [20, 46], "17973005068132514": [20, 46], "043509": [20, 46], "158": [20, 40, 46], "057485": 20, "000514": [20, 36], "009248": 20, "000634": 20, "010715": [20, 34, 46], "159": [20, 41, 46], "052716": 20, "000821": 20, "010648": 20, "000210": [20, 36], "026620": [20, 46], "trial": [20, 32, 46], "bayesian": [20, 46, 52], "sophist": [20, 24, 29, 50, 55], "hyperopt": 20, "sigoptsearchcv": 20, "tpot": 20, "hyperband": 20, "smac": 20, "moe": 20, "pybo": 20, "spearmint": 20, "bayesopt": 20, "guarante": [20, 21, 23, 25, 26, 30, 46, 47, 49, 51, 52, 56], "suffer": [20, 46], "ton": [20, 28, 46, 54], "rodolfo": [20, 46], "lourenzutti": [20, 46], "number_test": [20, 46], "ntest": [20, 46, 59], "binomi": [20, 46], "shrink": [20, 25, 46, 51], "x_train_tini": [20, 46], "x_test_big": [20, 46], "y_train_tini": [20, 46], "y_test_big": [20, 46], "055100": [20, 46], "547": [20, 22, 46, 48], "251093": [20, 46], "643": [20, 46], "2670": [20, 46], "2270": [20, 46], "143": [20, 21, 40, 41, 43, 46, 47], "064": [20, 34, 46], "jackin": [20, 46], "album": [20, 46], "edit": [20, 29, 38, 46, 55], "1687": [20, 28, 34, 46, 54], "000353": [20, 46], "420": [20, 46, 50], "210240": [20, 46], "929": [20, 46], "000747": [20, 46], "1210": [20, 46], "3180": [20, 46], "chop": [20, 29, 46, 55], "suei": [20, 46], "871": [20, 23, 46, 49], "314000": [20, 46], "430": [20, 29, 46, 55], "193427": [20, 46], "734": [20, 22, 46, 48], "000286": [20, 46], "0808": [20, 46], "043": [20, 46, 49], "1020": [20, 25, 30, 31, 36, 46, 51, 56], "992": [20, 46], "0537": [20, 46], "1123": [20, 25, 46], "082100": [20, 46], "246653": [20, 46], "711": [20, 46], "0931": [20, 46], "544": [20, 46], "0335": [20, 46], "4760": [20, 46], "tesoro": [20, 46], "feat": [20, 25, 31, 46, 51], "nicki": [20, 46], "jam": [20, 46], "1396": [20, 46], "286000": [20, 46], "616": [20, 46], "236960": [20, 46], "2770": [20, 46], "079": [20, 46], "4700": [20, 46], "vain": [20, 46], "888": [20, 23, 24, 49, 50], "1000000": [20, 37, 46], "10000000": [20, 46], "1000000000": [20, 46], "100000000": [20, 46], "021886": 20, "008879": 20, "008858": 20, "008777": 20, "011115": 20, "008113": 20, "008049": 20, "005042": 20, "007631": [20, 51], "010351": 20, "006752": 20, "00634": 20, "008893": 20, "006381": 20, "010268": 20, "011497": 20, "009724": 20, "005913": 20, "006215": 20, "1_000_000_000": [20, 46], "5024752475247525": 20, "overli": [20, 46, 59], "optimist": 20, "suspect": 20, "infinit": [20, 46], "schmidt": [20, 46], "incorpor": [20, 22, 25, 31, 32, 33, 44, 46, 48, 51, 52], "prevent": [20, 28, 29, 32, 55], "labels": [21, 26, 52], "26th": [21, 22, 47, 48], "00pm": [21, 22, 48], "survei": [21, 26, 37, 45, 55, 56, 58], "fridai": 21, "6th": [21, 23, 24, 39, 49, 50], "llindrribc8564": 21, "transpar": 21, "cc_df": [21, 39, 47], "creditcard": [21, 39, 47], "199364": [21, 47], "confidenti": [21, 33], "pca": [21, 27, 28, 53, 54], "64454": [21, 39, 47], "129900": [21, 47], "v3": [21, 39, 47], "v4": [21, 39, 47], "v5": [21, 39, 47], "v6": [21, 39, 47], "v7": [21, 39, 47], "v8": [21, 39, 47], "v9": [21, 39, 47], "v10": [21, 47], "v11": [21, 47], "v12": [21, 47], "v13": [21, 47], "v14": [21, 47], "v15": [21, 47], "v16": [21, 47], "v17": [21, 47], "v18": [21, 47], "v19": [21, 47], "v20": [21, 47], "v21": [21, 39, 47], "v22": [21, 39, 47], "v23": [21, 39, 47], "v24": [21, 39, 47], "v25": [21, 39, 47], "v26": [21, 39, 47], "v27": [21, 39, 47], "v28": [21, 39, 47], "94888": [21, 47], "815669": [21, 47], "000492": [21, 47], "000726": [21, 47], "000927": [15, 21, 47], "000630": [21, 47], "000036": [21, 41, 47], "000011": [21, 32, 47], "001286": [21, 47], "002889": [21, 47], "000891": [21, 47, 48], "001205": [21, 47], "000198": [21, 47], "000113": [19, 21, 47], "000235": [21, 36, 47], "000312": [21, 47], "000366": [21, 47], "000227": [21, 47], "164679": [21, 47], "001700": [21, 47], "47491": [21, 47], "435489": [21, 47], "959870": [21, 47], "645519": [21, 47], "505335": [21, 47], "413958": [21, 47], "361718": [21, 47], "327188": [21, 47], "210001": [21, 47], "214852": [21, 47], "096927": [21, 47], "748510": [21, 47], "726634": [21, 47], "628139": [21, 47], "605060": [21, 47], "520857": [21, 47], "481960": [21, 47], "401541": [21, 47], "333139": [21, 47], "238": [21, 24, 40, 41, 47], "925768": [21, 47], "041201": [21, 47], "407510": [21, 47], "715728": [21, 47], "813586": [21, 47], "683171": [21, 47], "147898": [21, 47], "160506": [21, 47], "557242": [21, 47], "216718": [21, 47], "320155": [21, 47], "830382": [21, 47], "887017": [21, 47], "807735": [21, 47], "824849": [21, 47], "295397": [21, 47], "241620": [21, 47], "565679": [21, 47], "710896": [21, 47], "54240": [21, 47], "918124": [21, 47], "600193": [21, 47], "892476": [21, 47], "847178": [21, 47], "691241": [21, 47], "768512": [21, 47], "553979": [21, 47], "209746": [21, 47], "642965": [21, 47], "227836": [21, 47], "541795": [21, 47], "162330": [21, 47], "354604": [21, 47], "317761": [21, 47], "326730": [21, 47], "070929": [21, 47], "052819": [21, 47], "640000": [21, 25, 47, 51], "84772": [21, 47], "018854": [21, 47], "065463": [21, 47], "179080": [21, 47], "019531": [21, 47], "056703": [21, 47], "275290": [21, 47], "040497": [21, 47], "022039": [21, 47], "052607": [21, 47], "029146": [21, 47], "007666": [21, 47], "011678": [21, 47], "041031": [21, 47], "016587": [21, 47], "052790": [21, 47], "001239": [21, 47], "011234": [21, 47], "139349": [21, 47], "315630": [21, 47], "803617": [21, 47], "028023": [21, 47], "744201": [21, 47], "610407": [21, 47], "399827": [21, 47], "570449": [21, 47], "327408": [21, 47], "597326": [21, 47], "186899": [21, 47], "529210": [21, 47], "146809": [21, 47], "439209": [21, 47], "351366": [21, 47], "242169": [21, 47], "090453": [21, 47], "078052": [21, 47], "150000": [21, 28, 47, 54], "172792": [21, 47], "451888": [21, 47], "057729": [21, 47], "382558": [21, 47], "491217": [21, 47], "801666": [21, 47], "917837": [21, 47], "054461": [21, 47], "587773": [21, 47], "594995": [21, 47], "202839": [21, 47], "503090": [21, 47], "083545": [21, 47], "022866": [21, 47], "070850": [21, 47], "517346": [21, 47], "152401": [21, 47], "847808": [21, 47], "11898": [21, 47], "090000": [21, 47], "briefli": [21, 23, 25, 49, 51], "x_train_big": [21, 39, 47], "y_train_big": [21, 39, 47], "explicit": [21, 28, 32, 47, 54], "x_valid": [21, 28, 35, 36, 39, 47, 54], "y_valid": [21, 28, 30, 35, 36, 39, 47, 54, 56], "008927": 21, "001098": 21, "998302": [21, 47], "998": [21, 25, 32, 51], "9983": [21, 47], "0017": [21, 47], "spot": [21, 22, 28, 47, 48, 53, 59], "407660": 21, "005171": 21, "999176": [21, 47], "999235": [21, 47], "dig": [21, 22], "confusionmatrixdisplai": [21, 39, 47], "from_estim": [21, 39, 47], "values_format": [21, 47], "display_label": [21, 47], "confusion_matrix": [21, 30, 32, 47, 56], "tn": [21, 47], "fp": [21, 47], "fn": [21, 47], "tp": [21, 47], "ravel": [21, 36, 38, 42, 47], "plot_confusion_matrix_exampl": [21, 47], "59700": [21, 47], "cross_val_predict": [21, 23, 32, 47, 49], "139296": [21, 47], "pipe_lr": [21, 23, 24, 38, 39, 47, 49, 50], "8889": [21, 47], "coverag": 21, "tpr": [21, 47], "harmon": [21, 47], "f1_score": [21, 39, 47], "7356": [21, 47], "999231": [21, 47], "000769": [21, 47], "627451": [21, 47], "735632": [21, 47], "accuracy_scor": [21, 47], "precision_scor": [21, 47], "recall_scor": [21, 47], "zero_divis": [21, 47], "classification_report": [21, 30, 39, 47, 56], "target_nam": [21, 47], "59708": [21, 47], "59810": [21, 47], "avg": [21, 28, 31, 47, 54], "y_true_toi": 21, "y_pred_toi": 21, "target_names_toi": 21, "weighted_averag": 21, "875": [21, 28, 54], "765": [21, 34], "test_accuraci": [21, 47], "train_accuraci": [21, 47], "test_f1": [21, 47], "train_f1": [21, 47], "test_recal": [21, 47], "train_recal": [21, 47], "test_precis": [21, 47], "train_precis": [21, 47], "569888": 21, "024585": 21, "999097": [21, 47], "999360": [21, 47], "694915": [21, 47], "782979": [21, 47], "602941": [21, 47], "678967": [21, 47], "820000": [21, 47], "924623": [21, 47], "554763": 21, "023579": 21, "999223": [21, 47], "999317": [21, 47], "739496": [21, 47], "766595": [21, 47], "647059": [21, 47], "660517": [21, 47], "862745": [21, 47], "913265": [21, 47], "556107": 21, "026092": 21, "999273": [21, 47], "999216": [21, 47], "743363": [21, 47], "726477": [21, 47], "617647": [21, 47], "612546": [21, 47], "933333": [21, 36, 47], "892473": [21, 47], "483313": 21, "023631": 21, "999172": [21, 47], "999254": [21, 47], "697248": [21, 47], "742981": [21, 47], "558824": [21, 47], "634686": [21, 47], "926829": [21, 47], "895833": [21, 47], "602210": 21, "030571": [21, 46], "999147": [21, 47], "696429": [21, 47], "728850": [21, 47], "582090": [21, 47], "happydb": 21, "cleaned_hm": 21, "sample_df": 21, "dropna": 21, "ground_truth_categori": 21, "wid": 21, "reflection_period": 21, "original_hm": 21, "num_sent": 21, "predicted_categori": 21, "hmid": 21, "27676": 21, "24h": 21, "late": [21, 57], "understood": 21, "hang": 21, "bond": 21, "27678": 21, "medit": 21, "leisur": 21, "27697": 21, "498": 21, "grandmoth": 21, "bed": 21, "27705": 21, "5732": 21, "daughter": 21, "airport": 21, "convers": [21, 22, 24, 29, 48, 50, 55], "27715": 21, "2272": 21, "flower": 21, "x_train_happi": 21, "y_train_happi": 21, "x_test_happi": 21, "y_test_happi": 21, "pred": [21, 22, 28, 31, 32, 47, 48, 54], "xticks_rot": 21, "1302": 21, "1423": 21, "enjoy_the_mo": 21, "54": [21, 22, 31, 34, 37, 48, 58, 59], "407": [21, 22, 48], "4238": 21, "diagnosi": [21, 47], "predict_proba": [21, 23, 24, 30, 38, 39, 47, 49, 50, 52, 56], "decision_funct": [21, 39, 47], "degre": [21, 28, 29, 47, 55], "certainti": [21, 47], "revisit": 21, "y_pred": [21, 31, 47], "busi": [21, 25, 26, 38, 47, 52], "costli": 21, "y_pred_lower_threshold": [21, 47], "sweep": 21, "panel": [21, 24, 26, 27, 50, 53, 58], "pyviz": 21, "pn": [21, 26, 27, 53, 58], "max_opt": [21, 26, 27, 53, 58], "bar": [21, 22, 24, 32, 48, 50], "willing": [21, 38], "exchang": 21, "occasion": 21, "precision_recall_curv": [21, 39, 47], "upper": [21, 32, 44], "average_precision_scor": [21, 39, 47], "ap_lr": [21, 47], "757": [21, 47, 49], "handi": 21, "precisionrecalldisplai": [21, 39, 47], "distinct": [21, 25, 31, 40, 41, 47, 51, 60], "qualiti": [21, 24, 26, 27, 47, 50, 52, 53], "desir": [21, 37], "pipe_svc": [21, 39], "logisticregressionlogisticregress": [21, 30, 38, 39, 56], "precision_lr": [21, 39], "recall_lr": [21, 39], "thresholds_lr": [21, 39], "n_threshold": 21, "59049": 21, "59050": 21, "precision_svc": [21, 39], "recall_svc": [21, 39], "thresholds_svc": [21, 39], "close_default_lr": 21, "close_zero_svm": 21, "svc_pred": 21, "lr_pred": [21, 22, 48], "736": 21, "ap_svc": 21, "790": [21, 32, 48], "fpr": [21, 47], "roc_curv": [21, 39, 47], "default_threshold": [21, 47], "fpr_lr": 21, "tpr_lr": 21, "fpr_svc": 21, "tpr_svc": 21, "roc_auc_scor": [21, 39, 47], "roc_lr": 21, "roc_svc": 21, "970": [21, 29, 55], "938": [21, 28, 54], "rank": [21, 25, 29, 32, 47, 51, 55], "imbalanc": [21, 22, 30, 47, 48, 56], "precisionrecallcurvedisplai": 21, "roccurvedisplai": [21, 39, 47], "roc_auc": 21, "average_precis": 21, "625136": 21, "046814": 21, "999182": 21, "714290": 21, "601712": 21, "881915": 21, "test_roc_auc": 21, "967228": 21, "test_average_precis": 21, "744074": 21, "drastic": [21, 47], "10x": [21, 47], "problemat": [21, 24, 32, 47, 50], "penalti": [21, 55, 57], "l2": [21, 24, 26, 29, 32, 50, 55], "dual": 21, "tol": [21, 25, 51], "fit_intercept": 21, "intercept_sc": 21, "solver": [21, 51], "lbfg": 21, "multi_class": [21, 30, 56], "warm_start": 21, "l1_ratio": 21, "class_label": 21, "650": 21, "plot_confusion_matrix": [21, 47], "pipe_lr_weight": [21, 47], "bincount": [21, 23, 41, 47, 49], "compute_class_weight": [21, 47], "pipe_lr_balanc": [21, 39, 47], "comp_dict": 21, "orig_scor": 21, "bal_scor": 21, "528339": 21, "452852": 21, "040794": 21, "037760": 21, "973210": 21, "101817": 21, "891001": 21, "054009": 21, "970505": 21, "730368": 21, "kfold": 21, "preserv": [21, 26, 52], "api": [21, 29, 31, 55], "resampl": 21, "imblearn": 21, "make_imb_pipelin": 21, "under_sampl": 21, "randomundersampl": 21, "x_train_subsampl": 21, "y_train_subsampl": 21, "fit_resampl": 21, "139554": 21, "474": [21, 25], "counter": 21, "class_sep": 21, "n_inform": 21, "n_redund": 21, "flip_i": 21, "n_clusters_per_class": 21, "x_re": 21, "y_re": 21, "undersample_pip": 21, "025596": 21, "011598": 21, "971288": 21, "414427": 21, "over_sampl": 21, "randomoversampl": 21, "ro": 21, "x_train_oversampl": 21, "y_train_oversampl": 21, "278634": 21, "139317": 21, "oversample_pip": 21, "203149": 21, "013245": 21, "961599": 21, "714913": 21, "augment": 21, "prove": [21, 38], "handwritten": 21, "introduc": 21, "nearest": [21, 27, 36, 53, 59], "caus": [21, 24, 25, 32, 50, 51], "sampling_strategi": 21, "k_neighbor": 21, "m_neighbor": 21, "out_step": 21, "svm_estim": 21, "ratio": [21, 23, 49], "smote_pip": 21, "350517": 21, "010196": 21, "963134": 21, "733030": 21, "anomali": [21, 22, 26, 48, 52], "illus": [21, 38, 39], "seemingli": [21, 39], "unbias": [21, 39], "inher": [21, 29, 31, 39, 55], "amplifi": [21, 29, 39, 55], "inequ": [21, 39], "societi": [21, 29, 39, 55], "quantifi": 21, "adult": [21, 23, 24, 39, 49, 50], "census_df": [21, 39], "32561": 21, "workclass": [21, 23, 24, 39, 49, 50], "fnlwgt": [21, 23, 24, 39, 49, 50], "educ": [21, 23, 24, 39, 49, 50], "num": [21, 23, 24, 39, 49, 50], "marit": [21, 23, 24, 39, 49, 50], "occup": [21, 23, 24, 39, 49, 50], "capit": [21, 23, 24, 39, 49, 50], "25823": 21, "245521": 21, "7th": [21, 23, 24, 39, 49, 50], "8th": [21, 23, 24, 39, 49, 50], "civ": [21, 24, 49, 50], "spous": [21, 24, 49, 50], "farm": 21, "fish": 21, "husband": [21, 24, 49, 50], "male": [21, 24, 32, 39, 49, 50], "mexico": 21, "50k": [21, 23, 24, 39, 49, 50], "10274": 21, "134287": 21, "assoc": [21, 23, 24, 39, 49, 50], "voc": [21, 23, 24, 39, 49, 50], "child": [21, 24, 29, 38, 50, 55], "femal": [21, 24, 32, 39, 49, 50], "27652": 21, "gov": [21, 23, 24, 49, 50], "109526": 21, "hs": [21, 23, 24, 39, 49, 50], "grad": [21, 23, 24, 39, 49, 50], "craft": [21, 24, 26, 49, 50, 52, 59], "repair": [21, 24, 49, 50], "13941": 21, "131275": 21, "amer": 21, "indian": [21, 37], "eskimo": 21, "31384": 21, "193122": 21, "inspct": 21, "29802": 21, "410240": 21, "5390": 21, "146767": 21, "prof": [21, 23, 24, 39, 49, 50], "specialti": [21, 24, 49, 50], "feder": [21, 31, 55], "238192": 21, "1887": 21, "15795": 21, "154076": 21, "colleg": [21, 23, 24, 39, 49, 50], "adm": [21, 24, 49, 50], "cleric": [21, 24, 49, 50], "23654": 21, "162667": 21, "handler": 21, "cleaner": 21, "portug": 21, "19536": 21, "train_df_nan": [21, 23, 24, 39, 49, 50], "test_df_nan": [21, 23, 24, 39, 49, 50], "ordinal_featur": [21, 23, 24, 39, 49, 50], "binary_featur": [21, 23, 24, 39, 49, 50], "drop_featur": [21, 22, 23, 24, 25, 31, 32, 39, 48, 49, 50, 51], "11th": [21, 23, 24, 39, 49, 50], "5th": [21, 23, 24, 39, 49, 50], "acdm": [21, 23, 24, 39, 49, 50], "9th": [21, 23, 24, 39, 49, 50], "doctor": [21, 23, 24, 28, 39, 49, 50], "preschool": [21, 23, 24, 39, 49, 50], "education_level": [21, 23, 24, 39, 49, 50], "ordinal_transform": [21, 23, 24, 39, 49, 50], "fill_valu": [21, 22, 23, 24, 31, 37, 39, 48, 49, 50], "binary_transform": [21, 23, 24, 37, 39, 49, 50], "14841": 21, "4695": 21, "x_train_enc": [21, 22, 24, 31, 32, 39, 48, 50], "x0_male": 21, "14160": 21, "280618": 21, "27048": 21, "439779": 21, "28868": 21, "204734": 21, "5667": 21, "107991": 21, "7827": 21, "54152": 21, "x_femal": [21, 39], "x_male": [21, 39], "y_femal": [21, 39], "y_male": [21, 39], "female_pr": [21, 39], "male_pr": [21, 39], "3851": 21, "463": 21, "4314": 21, "6028": 21, "2683": 21, "8711": 21, "female_cm": 21, "male_cm": 21, "compani": [21, 25, 28, 29, 32, 39, 51, 54, 55, 58], "loan": [21, 24, 39], "approv": [21, 39, 57], "reject": [21, 24, 39], "Will": [21, 25, 32, 39, 42, 51], "unqualifi": [21, 39], "detriment": [21, 39], "disciplin": [21, 25, 47, 51], "dog": [21, 30, 36, 47, 56], "blindli": [21, 22], "sole": [21, 27, 52, 53, 58], "anim": [21, 30, 36, 38, 56], "holdout": 21, "reus": 21, "transformedtargetregressor": [22, 25, 42, 48, 51], "randomforestregressor": [22, 23, 24, 25, 31, 32, 42, 48, 49, 50, 51], "make_scor": [22, 25, 42, 48, 51], "mean_squared_error": [22, 25, 42, 48, 51], "r2_score": [22, 25, 42, 48, 49, 51], "simplefilt": [22, 23, 24, 48, 49, 50], "tonight": [22, 48], "somewhat": [22, 48], "coeffici": [22, 23, 25, 28, 30, 31, 32, 48, 49, 51, 54, 56], "log": [22, 23, 32, 33, 37, 49, 52], "pos_label": 22, "salepric": [22, 24, 48, 50], "oppos": [22, 23, 48, 49, 58], "1314": [22, 24, 48], "mssubclass": [22, 24, 48, 50], "lotfrontag": [22, 24, 48, 50], "lotarea": [22, 24, 48, 50], "overallqu": [22, 24, 48, 50], "overallcond": [22, 24, 48, 50], "yearbuilt": [22, 24, 48, 50], "yearremodadd": [22, 24, 48, 50], "masvnrarea": [22, 24, 48, 50], "bsmtfinsf1": [22, 24, 48, 50], "wooddecksf": [22, 24, 48, 50], "openporchsf": [22, 24, 48, 50], "enclosedporch": [22, 24, 48, 50], "3ssnporch": [22, 24, 48, 50], "screenporch": [22, 24, 48, 50], "poolarea": [22, 24, 48, 50], "miscval": [22, 24, 48, 50], "mosold": [22, 24, 48, 50], "yrsold": [22, 24, 48, 50], "1089": [22, 48], "1307": [22, 48], "182648": [22, 48], "472603": [22, 48], "641873": [22, 48], "10273": [22, 48], "261035": [22, 48], "076104": [22, 48], "570015": [22, 48], "995434": [22, 48], "1984": [22, 48], "659056": [22, 48], "441": [22, 48], "425419": [22, 48], "281583": [22, 48], "765601": [22, 48], "726788": [22, 48], "624049": [22, 48], "987062": [22, 48], "065449": [22, 48], "951294": [22, 48], "302131": [22, 48], "2007": [22, 31, 48], "840183": [22, 48], "179802": [22, 48], "147641": [22, 48], "422": [22, 48, 56], "224662": [22, 48], "036646": [22, 48], "031794": [22, 48], "8997": [22, 48], "895541": [22, 48], "392612": [22, 48], "112848": [22, 48], "198127": [22, 48], "639754": [22, 48], "301563": [22, 48], "459": [22, 37, 48], "276687": [22, 48], "436492": [22, 48], "757545": [22, 48], "766423": [22, 48], "320430": [22, 48], "854129": [22, 48], "341109": [22, 48], "522": [22, 48], "283421": [22, 48], "698206": [22, 48], "332824": [22, 48], "79041": [22, 48], "260572": [22, 48], "1300": [22, 48, 50], "1872": [22, 48], "1950": [22, 48], "2006": [22, 33, 48, 50], "34900": [22, 48], "369": [22, 48], "7500": [22, 28, 48, 54], "1966": [22, 48], "129600": [22, 48], "735": [22, 48], "9391": [22, 48], "1972": [22, 48], "1993": [22, 48], "2008": [22, 31, 48, 50], "162000": [22, 48], "1099": [22, 48], "11509": [22, 48], "2004": [22, 48], "168": [22, 41, 48], "2009": [22, 31, 48], "212975": [22, 48], "1460": [22, 48], "313": [22, 40, 41, 48], "215245": [22, 48], "2010": [22, 24, 31, 38, 48], "1378": [22, 48], "5644": [22, 48], "480": [22, 48], "15500": [22, 48], "755000": [22, 48], "302": [22, 24, 40, 41, 48, 50], "mszone": [22, 24, 48, 50], "street": [22, 24, 48, 50], "allei": [22, 24, 48, 50], "lotshap": [22, 24, 48, 50], "landcontour": [22, 24, 48, 50], "lotconfig": [22, 24, 48, 50], "landslop": [22, 24, 48, 50], "condition1": [22, 24, 48, 50], "condition2": [22, 24, 48, 50], "bldgtype": [22, 24, 48, 50], "housestyl": [22, 24, 48, 50], "roofstyl": [22, 24, 48, 50], "roofmatl": [22, 24, 48, 50], "exterior1st": [22, 24, 48, 50], "exterior2nd": [22, 24, 48, 50], "masvnrtyp": [22, 24, 48, 50], "exterqu": [22, 24, 48, 50], "extercond": [22, 24, 48, 50], "bsmtqual": [22, 24, 48, 50], "bsmtcond": [22, 24, 48, 50], "bsmtexposur": [22, 24, 48, 50], "1279": [22, 48], "bsmtfintype1": [22, 24, 48, 50], "bsmtfintype2": [22, 24, 48, 50], "bsmtfinsf2": [22, 24, 48, 50], "bsmtunfsf": [22, 24, 48, 50], "totalbsmtsf": [22, 24, 48, 50], "heatingqc": [22, 24, 48, 50], "centralair": [22, 24, 48, 50], "electr": [22, 24, 48, 50], "1313": [22, 28, 48, 54], "1stflrsf": [22, 24, 48, 50], "2ndflrsf": [22, 24, 48, 50], "lowqualfinsf": [22, 24, 48, 50], "grlivarea": [22, 24, 48, 50], "bsmtfullbath": [22, 24, 48, 50], "bsmthalfbath": [22, 24, 48, 50], "fullbath": [22, 24, 48, 50], "halfbath": [22, 24, 48, 50], "bedroomabvgr": [22, 24, 48, 50], "kitchenabvgr": [22, 24, 48, 50], "kitchenqu": [22, 24, 48, 50], "totrmsabvgrd": [22, 24, 48, 50], "fireplac": [22, 24, 48, 50], "fireplacequ": [22, 24, 48, 50], "687": [22, 48], "garagetyp": [22, 24, 48, 50], "1241": [22, 25, 48], "garageyrblt": [22, 24, 48, 50], "garagefinish": [22, 24, 48, 50], "garagecar": [22, 24, 48, 50], "garagearea": [22, 24, 48, 50], "garagequ": [22, 24, 48, 50], "garagecond": [22, 24, 48, 50], "paveddr": [22, 24, 48, 50], "poolqc": [22, 24, 48, 50], "fenc": [22, 24, 30, 48, 50], "259": [22, 48, 49, 51], "miscfeatur": [22, 24, 48, 50], "saletyp": [22, 24, 48, 50], "salecondit": [22, 24, 48, 50], "841": [22, 48, 56], "profil": 22, "profilereport": 22, "to_notebook_ifram": 22, "ordin": [22, 30, 44, 48, 56], "truli": [22, 29, 38, 55], "descript": [22, 25, 32, 51, 58, 59], "numeric_looking_column": [22, 48], "select_dtyp": [22, 48], "dwell": [22, 48], "newer": [22, 48], "style": [22, 25, 26, 28, 29, 30, 41, 48, 51, 52, 54, 55, 56], "1945": [22, 48], "older": [22, 48], "attic": [22, 48], "multi": [22, 24, 26, 29, 31, 47, 48, 50, 52, 55], "foyer": [22, 48], "duplex": [22, 48], "pud": [22, 48], "150": [22, 28, 30, 34, 36, 43, 46, 48, 54, 56], "multilevel": [22, 48], "incl": [22, 48], "lev": [22, 48], "fa": [22, 24, 48, 50], "gd": [22, 24, 48, 50], "ex": [22, 24, 48, 50], "ordinal_features_reg": [22, 24, 48, 50], "ordinal_features_oth": [22, 24, 48, 50], "ordering_ordinal_reg": [22, 24, 48, 50], "ordering_ordinal_oth": [22, 24, 48, 50], "na": [22, 24, 28, 48, 50], "mn": [22, 24, 48, 50], "av": [22, 24, 48, 50, 55], "unf": [22, 24, 48, 50], "lwq": [22, 24, 48, 50], "rec": [22, 24, 28, 48, 50], "blq": [22, 24, 48, 50], "alq": [22, 24, 48, 50], "glq": [22, 24, 48, 50], "sal": [22, 24, 48, 50], "sev": [22, 24, 48, 50], "maj2": [22, 24, 48, 50], "maj1": [22, 24, 48, 50], "mod": [22, 24, 48, 50], "min2": [22, 24, 48, 50], "min1": [22, 24, 48, 50], "typ": [22, 24, 48, 50], "mnww": [22, 24, 48, 50], "gdwo": [22, 24, 48, 50], "mnprv": [22, 24, 48, 50], "gdprv": [22, 24, 48, 50], "foot": [22, 24, 48, 50], "ordinal_transformer_reg": [22, 24, 48, 50], "ordinal_transformer_oth": [22, 24, 48, 50], "ohe_column": [22, 24, 48, 50], "new_column": [22, 24, 31, 32, 48, 50], "saletype_conlw": 22, "saletype_new": 22, "saletype_oth": 22, "saletype_wd": [22, 48], "electrical_fusea": 22, "electrical_fusef": 22, "electrical_fusep": 22, "electrical_mix": 22, "electrical_sbrkr": 22, "electrical_miss": 22, "154795": [22, 24, 48, 50], "222647": [22, 24, 48, 50], "312501": [22, 24, 48, 50], "381428": [22, 24, 48, 50], "663680": [22, 24, 48, 50], "512408": [22, 24, 48, 50], "993969": [22, 24, 48, 50], "840492": [22, 24, 48, 50], "269972": [22, 24, 48, 50], "961498": [22, 24, 48, 50], "767": [22, 24, 34, 48, 50], "372763": [22, 24, 48, 50], "260890": [22, 24, 48, 50], "248457": [22, 24, 48, 50], "054669": [22, 24, 48, 50], "285467": [22, 24, 48, 50], "026793": [22, 24, 48, 50], "016525": [22, 24, 48, 50], "573129": [22, 24, 48, 50], "476092": [22, 24, 48, 50], "429": [22, 24, 48], "885044": [22, 24, 48], "131607": [22, 24, 48], "563314": [22, 24, 48], "161931": [22, 24, 48], "227559": [22, 24, 48], "1139": [22, 24, 48], "358264": [22, 24, 48], "171468": [22, 24, 48], "773017": [22, 24, 48], "689338": [22, 24, 48], "679877": [22, 24, 48], "443419": [22, 24, 48], "558": [22, 24, 48, 51], "597924": [22, 24, 48], "289541": [22, 24, 48], "828332": [22, 24, 48], "598149": [22, 24, 48], "354114": [22, 24, 48], "262": [22, 24, 48, 50], "263": 22, "outlier": [22, 27, 37, 48, 53], "exploratori": 22, "001178": 22, "000296": [22, 36], "003547": [22, 48], "000589": 22, "000204": 22, "001266": [22, 48], "000532": 22, "000197": 22, "011767": [22, 48], "000585": 22, "000215": [19, 22], "006744": [22, 48], "000525": 22, "000189": [22, 56], "076533": [22, 48], "000524": 22, "000205": 22, "003133": [22, 48], "000518": 22, "000187": [22, 36], "000397": [22, 48], "000548": 22, "003785": [22, 36, 48], "000515": 22, "000186": 22, "001740": [22, 44, 48], "000517": 22, "000188": 22, "000117": [22, 48], "ordinari": 22, "224865": [22, 24, 48, 50], "34161762": [22, 24, 48, 50], "65243": [22, 48], "29045704": [22, 48], "133337": [22, 48], "46729488": [22, 48], "250900": [22, 48], "65424895": [22, 48], "128984": [22, 48], "32127053": [22, 48], "205597": [22, 48], "8361313": [22, 48], "334576": [22, 48], "71199006": [22, 48], "158982": [22, 48], "72345029": 22, "148343": [22, 48], "09009799": [22, 48], "129257": [22, 48], "94933723": [22, 48], "411412": 22, "6718650304": 22, "38853": 22, "27502379066": 22, "largest": [22, 48], "191169": [22, 24, 48, 50], "0717446893": 22, "83603": [22, 24, 48, 50], "0131199604": 22, "lr_pipe": [22, 24, 31, 48, 50], "028890": 22, "005978": 22, "862432": [22, 48], "911846": [22, 48], "027618": 22, "005765": 22, "812363": [22, 48], "913849": [22, 48], "025527": 22, "006600": 22, "775270": [22, 48], "915952": [22, 48], "025537": 22, "005596": 22, "874532": [22, 48], "910843": [22, 48], "026065": 22, "005624": 22, "852104": [22, 48], "911615": [22, 48], "024473": 22, "005501": 22, "826142": [22, 48], "910174": [22, 48], "025475": 22, "005876": 22, "825697": [22, 48], "913767": [22, 48], "025521": 22, "005527": 22, "873704": [22, 48], "910018": [22, 48], "024918": 22, "005524": 22, "196599": [22, 48], "921438": [22, 48], "026598": 22, "005554": 22, "890457": [22, 48], "908215": [22, 48], "dropdroppipelin": [22, 48], "lotshape_ir1": [22, 24, 50], "lotshape_ir2": [22, 24, 50], "lotshape_ir3": [22, 24, 50], "lotshape_reg": [22, 24, 50], "garagefinish_fin": 22, "garagefinish_rfn": 22, "garagefinish_unf": [22, 48], "garagefinish_miss": 22, "salecondition_abnorml": 22, "salecondition_adjland": 22, "salecondition_alloca": 22, "salecondition_famili": 22, "salecondition_norm": 22, "salecondition_parti": 22, "paveddrive_n": 22, "paveddrive_p": 22, "paveddrive_i": 22, "housestyle_1": 22, "5fin": 22, "5unf": 22, "housestyle_1stori": 22, "housestyle_2": 22, "housestyle_2stori": 22, "housestyle_sfoy": 22, "housestyle_slvl": 22, "bldgtype_1fam": 22, "bldgtype_2fmcon": 22, "bldgtype_duplex": 22, "bldgtype_twnh": 22, "bldgtype_twnhs": 22, "centralair_n": 22, "centralair_i": 22, "miscfeature_gar2": 22, "miscfeature_othr": 22, "miscfeature_sh": 22, "miscfeature_tenc": 22, "miscfeature_miss": 22, "utilities_allpub": [22, 50], "utilities_nosewa": [22, 50], "mssubclass_20": 22, "mssubclass_30": 22, "mssubclass_40": 22, "mssubclass_45": 22, "mssubclass_50": 22, "mssubclass_60": 22, "mssubclass_70": 22, "mssubclass_75": 22, "mssubclass_80": 22, "mssubclass_85": 22, "mssubclass_90": 22, "mssubclass_120": 22, "mssubclass_160": 22, "mssubclass_180": 22, "mssubclass_190": 22, "garagetype_2typ": 22, "garagetype_attchd": 22, "garagetype_bas": 22, "garagetype_builtin": 22, "garagetype_carport": 22, "garagetype_detchd": 22, "garagetype_miss": 22, "street_grvl": 22, "street_pav": 22, "alley_grvl": 22, "alley_pav": 22, "alley_miss": 22, "mszoning_c": [22, 24, 50], "mszoning_fv": [22, 24], "mszoning_rh": [22, 24], "mszoning_rl": [22, 24], "mszoning_rm": [22, 24], "lotconfig_corn": 22, "lotconfig_culdsac": 22, "lotconfig_fr2": 22, "lotconfig_fr3": 22, "lotconfig_insid": 22, "landslope_gtl": [22, 24, 50], "landslope_mod": [22, 24, 50], "landslope_sev": [22, 24, 50], "condition2_arteri": 22, "condition2_feedr": 22, "condition2_norm": 22, "condition2_posa": [22, 48], "condition2_posn": [22, 24, 48, 50], "condition2_rra": [22, 48], "condition2_rran": 22, "condition2_rrnn": 22, "neighborhood_blmngtn": 22, "neighborhood_bluest": 22, "neighborhood_brdal": 22, "neighborhood_brksid": 22, "neighborhood_clearcr": 22, "neighborhood_collgcr": [22, 48], "neighborhood_crawfor": 22, "neighborhood_edward": [22, 48], "neighborhood_gilbert": [22, 48], "neighborhood_idotrr": 22, "neighborhood_meadowv": 22, "neighborhood_mitchel": 22, "neighborhood_nam": 22, "neighborhood_npkvil": 22, "neighborhood_nwam": 22, "neighborhood_noridg": [22, 48], "neighborhood_nridght": [22, 24, 48, 50], "neighborhood_oldtown": 22, "neighborhood_swisu": 22, "neighborhood_sawy": 22, "neighborhood_sawyerw": 22, "neighborhood_somerst": 22, "neighborhood_stonebr": [22, 24, 50], "neighborhood_timb": 22, "neighborhood_veenk": 22, "roofmatl_clytil": [22, 24, 48, 50], "roofmatl_compshg": [22, 24, 48, 50], "roofmatl_membran": [22, 48], "roofmatl_met": [22, 48], "roofmatl_rol": 22, "roofmatl_tar": 22, "grv": 22, "roofmatl_wdshak": 22, "roofmatl_wdshngl": [22, 24, 48, 50], "condition1_arteri": 22, "condition1_feedr": 22, "condition1_norm": 22, "condition1_posa": 22, "condition1_posn": 22, "condition1_rra": 22, "condition1_rran": 22, "condition1_rrn": 22, "condition1_rrnn": 22, "landcontour_bnk": [22, 48, 50], "landcontour_hl": [22, 50], "landcontour_low": [22, 50], "landcontour_lvl": [22, 50], "mosold_1": 22, "mosold_2": 22, "mosold_3": [22, 48], "mosold_4": [22, 48], "mosold_5": [22, 48], "mosold_6": [22, 48], "mosold_7": [22, 48], "mosold_8": [22, 48], "mosold_9": [22, 48], "mosold_10": [22, 48], "mosold_11": [22, 48], "mosold_12": [22, 48], "roofstyle_flat": 22, "roofstyle_g": [22, 48], "roofstyle_gambrel": 22, "roofstyle_hip": 22, "roofstyle_mansard": 22, "roofstyle_sh": 22, "exterior1st_asbshng": 22, "exterior1st_asphshn": 22, "exterior1st_brkcomm": 22, "exterior1st_brkfac": 22, "exterior1st_cblock": 22, "exterior1st_cemntbd": 22, "exterior1st_hdboard": 22, "exterior1st_imstucc": [22, 24, 48, 50], "exterior1st_metalsd": 22, "exterior1st_plywood": 22, "exterior1st_ston": 22, "exterior1st_stucco": 22, "exterior1st_vinylsd": 22, "exterior1st_wd": 22, "sdng": 22, "exterior1st_wdsh": 22, "exterior2nd_asbshng": 22, "exterior2nd_asphshn": 22, "exterior2nd_brk": 22, "cmn": 22, "exterior2nd_brkfac": 22, "exterior2nd_cblock": 22, "exterior2nd_cmentbd": 22, "exterior2nd_hdboard": 22, "exterior2nd_imstucc": 22, "exterior2nd_metalsd": 22, "exterior2nd_oth": 22, "exterior2nd_plywood": 22, "exterior2nd_ston": 22, "exterior2nd_stucco": 22, "exterior2nd_vinylsd": 22, "exterior2nd_wd": 22, "shng": 22, "heating_floor": 22, "heating_gasa": 22, "heating_gasw": 22, "heating_grav": 22, "heating_othw": [22, 24, 48, 50], "heating_wal": 22, "foundation_brktil": 22, "foundation_cblock": [22, 48], "foundation_pconc": 22, "foundation_slab": 22, "foundation_ston": 22, "foundation_wood": 22, "masvnrtype_brkcmn": 22, "masvnrtype_brkfac": 22, "masvnrtype_ston": 22, "masvnrtype_miss": 22, "saletype_cod": 22, "saletype_cwd": 22, "saletype_con": 22, "saletype_conld": 22, "saletype_conli": 22, "annoyingli": [22, 48], "vice": [22, 48], "versa": [22, 48], "ridge__alpha": [22, 48], "semilogx": [22, 48], "best_alpha": [22, 48], "7951559890417762": 22, "pipe_bigalpha": [22, 48], "bigalpha_coeff": [22, 48], "9691": [22, 48], "378159": [22, 48], "7816": [22, 48], "490033": [22, 48], "5931": [22, 48], "401623": [22, 48], "5209": [22, 48], "377032": [22, 48], "5057": [22, 48], "215412": [22, 48], "1214": [22, 48], "532034": [22, 48], "1281": [22, 48], "596864": [22, 48], "1766": [22, 48], "048889": [22, 48], "1985": [22, 48], "253914": [22, 48], "2623": [22, 48], "509001": [22, 48], "pipe_smallalpha": [22, 48], "smallalpha_coeff": [22, 48], "128384": [22, 48], "117412": [22, 48], "127326": [22, 48], "497787": [22, 48], "106023": [22, 48], "481515": 22, "83437": [22, 48], "787574": [22, 48], "70568": [22, 48], "838951": [22, 48], "34441": [22, 48], "626206": [22, 48], "34806": [22, 48], "290424": [22, 48], "63362": [22, 48], "335309": [22, 48], "194985": [22, 48], "470060": [22, 48], "582469": [22, 48], "424221": [22, 48], "pipe_bestalpha": [22, 48], "bestalpha_coeff": [22, 48], "14485": [22, 48], "526602": [22, 48], "11693": [22, 48], "792577": [22, 48], "9661": [22, 48], "926657": [22, 48], "9492": [22, 48], "921850": [22, 48], "8076": [22, 48], "988901": [22, 48], "3991": [22, 48], "413796": [22, 48], "5002": [22, 28, 48, 54], "470666": [22, 48], "5212": [22, 48], "984664": [22, 48], "5461": [22, 48], "450739": [22, 48], "5789": [22, 34, 48], "889086": [22, 48], "ridgecv_pip": [22, 48], "alpha_": [22, 48], "ridge_tun": [22, 48], "ridge_pr": [22, 48], "228603": [22, 48], "06797961": [22, 48], "104643": [22, 48], "99931883": [22, 48], "155624": [22, 48], "61029914": [22, 48], "246332": [22, 48], "07245741": [22, 48], "127614": [22, 48], "33726089": [22, 48], "243243": [22, 48], "60429913": [22, 48], "304784": [22, 48], "87844893": [22, 48], "145425": [22, 48], "67512181": [22, 48], "157008": [22, 48], "6526853": [22, 48], "128528": [22, 48], "91515735": [22, 48], "390725": 22, "7472092075": 22, "30815": 22, "281220255296": 22, "anymor": [22, 26, 28, 48, 52, 54], "1041": [22, 24, 25, 31, 48, 51], "1122": [22, 24, 25, 48], "bool": [22, 31, 34, 38, 40, 41, 48], "160000": [22, 50], "175000": 22, "262500": 22, "133000": 22, "131000": 22, "212870": 22, "41150573": 22, "178494": 22, "22221894": 22, "189981": 22, "34426571": 22, "245329": 22, "56804591": 22, "129904": 22, "71327467": 22, "135422": 22, "67672595": 22, "872961060": [22, 48], "7986535": 22, "billion": [22, 48], "cent": [22, 48], "8729610607986": [22, 48], "533": 22, "29545": [22, 48], "91445189425": 22, "weird": [22, 28, 48, 54], "perhap": [22, 30, 31, 48], "y_i": [22, 23, 25, 28, 48, 49, 51, 54], "denomin": [22, 25, 48, 51], "varianc": [22, 24, 27, 31, 48, 50, 52, 53], "unexplain": [22, 48], "8601643854446084": 22, "8280229354283186": 22, "600k": [22, 48], "60k": [22, 48], "terribl": [22, 28, 33, 38, 48, 54], "percent": [22, 48], "pred_train": [22, 48], "percent_error": [22, 48], "839225": [22, 48], "558889": [22, 48], "560768": [22, 48], "405650": [22, 48], "194710": 22, "496213": 22, "624615": 22, "541117": 22, "327283": 22, "376089": 22, "my_map": [22, 48], "10092665203438769": 22, "mean_absolute_percentage_error": [22, 48], "skew": [22, 48], "log10": [22, 48], "ttr": [22, 48], "log1p": [22, 48], "inverse_func": [22, 48], "expm1": [22, 48], "ttr_pipe": [22, 48], "ufunc": [22, 48], "transformedtargetregressortransformedtargetregressor": [22, 48], "ridgeridg": [22, 25, 48], "un": [22, 32, 48], "221329": [22, 48], "43833466": [22, 48], "170670": [22, 48], "12761659": [22, 48], "182639": [22, 48], "31984311": [22, 48], "248609": [22, 48], "60023631": [22, 48], "132158": [22, 48], "15026771": [22, 48], "133270": [22, 48], "71866979": [22, 48], "07808506982896254": 22, "biggest": [22, 25, 51], "neg_mean_squared_error": [22, 48], "026120": 22, "006816": 22, "055915e": [22, 48], "379875e": [22, 48], "024906": 22, "007267": 22, "239944e": [22, 48], "264283e": [22, 48], "024179": 22, "007524": 22, "125440e": [22, 48], "758062e": [22, 48], "023939": 22, "006499": 22, "801219e": [22, 48], "849438e": [22, 48], "024087": 22, "006732": 22, "267612e": [22, 48], "395282e": [22, 48], "mape_scor": [22, 48], "greater_is_bett": [22, 48], "024398": 22, "006702": 22, "096960": [22, 48], "104070": [22, 48], "027555": 22, "007023": 22, "107985": [22, 48], "099685": [22, 48], "023322": 22, "006587": 22, "118347": [22, 48], "101796": [22, 48], "025249": 22, "006643": 22, "107947": [22, 48], "023129": 22, "006506": 22, "121985": [22, 48], "098307": [22, 48], "score_func": [22, 48], "latter": [22, 48], "r2": [22, 23, 35, 48, 49], "neg_mean_absolute_percentage_error": [22, 48], "neg_root_mean_square_error": [22, 48], "neg_root_mean_squared_error": [22, 48], "713084e": 22, "348495e": 22, "353811e": 22, "354980e": 22, "490115e": 22, "678986e": 22, "263899e": 22, "298708e": 22, "651091e": 22, "533073e": 22, "test_r2": [22, 48], "669805e": [22, 48], "200326e": [22, 48], "262156e": [22, 48], "514598e": [22, 48], "110915e": [22, 48], "train_r2": [22, 48], "551862e": [22, 48], "636849e": [22, 48], "580539e": [22, 48], "561645e": [22, 48], "834356e": [22, 48], "test_mape_scor": [22, 48], "696034e": [22, 48], "079852e": [22, 48], "183471e": [22, 48], "079471e": [22, 48], "219845e": [22, 48], "train_mape_scor": [22, 48], "040698e": [22, 48], "968514e": [22, 48], "017959e": [22, 48], "024351e": [22, 48], "830712e": [22, 48], "test_sklearn": [22, 48], "train_sklearn": [22, 48], "test_neg_root_mean_square_error": [22, 48], "656297e": [22, 48], "521284e": [22, 48], "354759e": [22, 48], "130690e": [22, 48], "761945e": [22, 48], "train_neg_root_mean_square_error": [22, 48], "062658e": [22, 48], "874767e": [22, 48], "959402e": [22, 48], "974801e": [22, 48], "719427e": [22, 48], "test_neg_mean_squared_error": [22, 48], "train_neg_mean_squared_error": [22, 48], "param_ridge__alpha": [22, 48], "101259": [22, 48], "111543": [22, 48], "096462": [22, 48], "090785": [22, 48], "085698": [22, 48], "085508": [22, 48], "085546": [22, 48], "08555": [22, 48], "085551": [22, 48], "203421": [22, 48], "33213": [22, 48], "110645": [22, 48], "115401": [22, 48], "116497": [22, 48], "122331": [22, 48], "125644": [22, 48], "127242": [22, 48], "127418": [22, 48], "127439": [22, 48], "127441": [22, 48], "204692": [22, 48], "33271": [22, 48], "00001": [22, 48], "000001": [22, 46, 48], "044169": 22, "041085": 22, "044295": [22, 48], "050607": 22, "039236": 22, "035071": 22, "037367": 22, "046649": 22, "052672": 22, "069799": 22, "042478": 22, "032924": 22, "refit": [22, 48], "best_estimator_": [22, 48], "search_multi": [22, 48], "rank_test_mape_scor": [22, 48], "split0_test_r2": [22, 48], "split1_test_r2": [22, 48], "split2_test_r2": [22, 48], "split3_test_r2": [22, 48], "mean_test_neg_mean_squared_error": [22, 48], "std_test_neg_mean_squared_error": [22, 48], "rank_test_neg_mean_squared_error": [22, 48], "split0_train_neg_mean_squared_error": [22, 48], "split1_train_neg_mean_squared_error": [22, 48], "split2_train_neg_mean_squared_error": [22, 48], "split3_train_neg_mean_squared_error": [22, 48], "split4_train_neg_mean_squared_error": [22, 48], "mean_train_neg_mean_squared_error": [22, 48], "std_train_neg_mean_squared_error": [22, 48], "039535": 22, "003742": 22, "011913": 22, "003011": 22, "866980": [22, 48], "820033": [22, 48], "826216": [22, 48], "851460": [22, 48], "263742e": [22, 48], "328077e": [22, 48], "529388e": [22, 48], "685103e": [22, 48], "039521": 22, "004809": 22, "012029": 22, "002788": 22, "827261": [22, 48], "786555": [22, 48], "802902": [22, 48], "812272": [22, 48], "362185e": [22, 48], "262269e": [22, 48], "282021e": [22, 48], "156311e": [22, 48], "207814e": [22, 48], "225301e": [22, 48], "029950e": [22, 48], "180279e": [22, 48], "521743e": [22, 48], "037204": 22, "004855": 22, "011907": 22, "002939": 22, "859318": [22, 48], "820564": [22, 48], "832866": [22, 48], "846650": [22, 48], "283119e": [22, 48], "511620e": [22, 48], "034979e": [22, 48], "276943e": [22, 48], "910456e": [22, 48], "701186e": [22, 48], "915714e": [22, 48], "567856e": [22, 48], "155178e": [22, 48], "037038": 22, "008245": 22, "009942": 22, "003876": 22, "835749": [22, 24, 48, 50], "810073": [22, 24, 48, 50], "831611": [22, 24, 48, 50], "843992": [22, 24, 48, 50], "386071e": [22, 48], "378971e": [22, 48], "394113e": [22, 48], "898703e": [22, 48], "405227e": [22, 48], "290961e": [22, 48], "046193e": [22, 48], "207039e": [22, 48], "011269e": [22, 48], "039365": 22, "010348": 22, "013747": 22, "003891": 22, "821807": [22, 48], "792828": [22, 48], "805198": [22, 48], "863941": [22, 48], "465279e": [22, 48], "931439e": [22, 48], "579559e": [22, 48], "009514e": [22, 48], "345386e": [22, 48], "515351e": [22, 48], "846260e": [22, 48], "459214e": [22, 48], "766317e": [22, 48], "043641": 22, "008413": 22, "009649": 22, "001835": 22, "824884": [22, 48], "782183": [22, 48], "787933": [22, 48], "868003": [22, 48], "501304e": [22, 48], "090376e": [22, 48], "522563e": [22, 48], "926733e": [22, 48], "251158e": [22, 48], "446284e": [22, 48], "837022e": [22, 48], "396752e": [22, 48], "014081e": [22, 48], "034559": 22, "006943": 22, "011439": 22, "003445": 22, "826553": [22, 48], "780497": [22, 48], "785399": [22, 48], "868281": [22, 48], "505592e": [22, 48], "117899e": [22, 48], "521578e": [22, 48], "925288e": [22, 48], "249618e": [22, 48], "445124e": [22, 48], "836880e": [22, 48], "395697e": [22, 48], "018459e": [22, 48], "034803": 22, "003166": 22, "009893": 22, "001694": 22, "826739": [22, 48], "780316": [22, 48], "785134": [22, 48], "868305": [22, 48], "506035e": [22, 48], "120769e": [22, 48], "521567e": [22, 48], "925272e": [22, 48], "249601e": [22, 48], "445111e": [22, 48], "836878e": [22, 48], "395686e": [22, 48], "018507e": [22, 48], "035842": 22, "005237": 22, "011238": 22, "004693": 22, "826758": [22, 48], "780298": [22, 48], "785108": [22, 48], "868308": [22, 48], "506079e": [22, 48], "121056e": [22, 48], "035297": 22, "003129": 22, "013451": 22, "003190": 22, "826760": [22, 48], "780296": [22, 48], "785105": [22, 48], "506084e": [22, 48], "121084e": [22, 48], "037244": 22, "007337": 22, "009396": 22, "002154": 22, "593370": [22, 48], "551975": [22, 48], "568663": [22, 48], "557739": [22, 48], "686348e": [22, 48], "316395e": [22, 48], "762093e": [22, 48], "571901e": [22, 48], "662541e": [22, 48], "624450e": [22, 48], "595569e": [22, 48], "643311e": [22, 48], "665351e": [22, 48], "041230": 22, "006415": 22, "010986": 22, "002783": 22, "135384": [22, 48], "113837": [22, 48], "118874": [22, 48], "123367": [22, 48], "442377e": [22, 48], "531116e": [22, 48], "629792e": [22, 48], "271738e": [22, 48], "379416e": [22, 48], "342605e": [22, 48], "498133e": [22, 48], "424337e": [22, 48], "262079e": [22, 48], "09503409246217502": 22, "underpredict": [22, 48, 49], "overpredict": [22, 48, 49], "unitless": [22, 48], "john": [23, 49], "stuart": [23, 49], "mill": [23, 49], "dequ": [23, 24, 49, 50], "perspect": [23, 49], "individu": [23, 26, 29, 32, 34, 37, 49, 52], "wisdom": 23, "crowd": [23, 27, 53], "literatur": [23, 49], "stronger": [23, 49], "industri": [23, 25, 29, 30, 49, 51, 55, 56], "adult_df_larg": [23, 24, 49, 50], "target_column": [23, 24, 32, 49, 50], "757985": [23, 24, 49, 50], "242015": [23, 24, 49, 50], "scoring_metr": [23, 24, 25, 49, 50, 51], "labelencod": [23, 24, 49, 50], "label_encod": [23, 24, 49, 50], "y_train_num": [23, 24, 49, 50], "y_test_num": [23, 24, 49, 50], "pipe_dt": [23, 24, 49, 50], "758": [23, 24, 34, 49, 50], "008": [23, 34, 49], "817": [23, 49], "006": [23, 24, 32, 34, 49, 50], "979": [23, 24, 49, 50], "pipe_rf": [23, 24, 49, 50], "023": [23, 30], "037": 23, "847": [23, 24, 38, 49, 50], "drawn": [23, 49], "random_forest_data": 23, "tree1": 23, "tree2": 23, "tree3": 23, "pipe_rf_demo": [23, 49], "workclass_feder": [23, 24, 50], "workclass_loc": [23, 24, 50], "workclass_nev": [23, 24, 50], "workclass_priv": [23, 24, 50], "1271": [23, 49], "2268": [23, 49], "2447": [23, 49], "2516": [23, 34, 49], "2556": [23, 49], "4151": [23, 49], "4165": [23, 49], "5294": [23, 49], "5798": [23, 49], "5970": [23, 49], "6480": [23, 49], "test_exampl": [23, 49], "transformed_exampl": [23, 49], "flatten": [23, 24, 27, 28, 29, 31, 34, 36, 38, 40, 49, 50, 53, 55], "550004": [23, 49], "147166": [23, 24, 49, 50], "217680": [23, 49], "579660": [23, 49], "country_trinadad": [23, 24, 49, 50], "amp": [23, 24, 34, 49, 50], "tobago": [23, 24, 49, 50], "country_unit": [23, 24, 49, 50], "country_vietnam": [23, 24, 49, 50], "country_yugoslavia": [23, 24, 49, 50], "country_miss": [23, 24, 49, 50], "estimators_": [23, 49], "ntree": 23, "make_num_tree_plot": [23, 49], "beat": [23, 32, 49], "shelf": [23, 29, 49, 55], "heavi": [23, 25, 26, 49, 51], "slower": [23, 26, 34, 49, 52], "easili": [23, 25, 31, 49, 51], "extratreesclassifi": 23, "discrimin": 23, "leo": [23, 49], "breiman": [23, 49], "fashion": [23, 29, 49, 55], "shallow": [23, 49], "_": [23, 25, 26, 28, 30, 49, 51, 54, 55, 56], "i1": [23, 49], "i2": [23, 49], "ik": [23, 49], "procedur": [23, 49], "residu": [23, 34, 49], "interfac": [23, 41, 49], "gpu": [23, 29, 30, 49, 55, 56], "learning_r": [23, 49], "strongli": [23, 49], "scale_pos_weight": [23, 49], "1319796954314723": [23, 49], "gradientboostingclassifi": [23, 49], "gradientboostingregressor": [23, 49], "histgradientboostingclassifi": [23, 49], "histgradientboostingregressor": [23, 49], "catboostclassifi": [23, 49], "xgbclassifi": [23, 24, 49, 50], "class_weight": [23, 49], "pipe_xgb": [23, 24, 49, 50], "pipe_lgbm": [23, 24, 49, 50], "pipe_catboost": [23, 49], "pipe_sklearn_histgb": [23, 49], "pipe_sklearn_gb": [23, 49], "logist": [23, 24, 25, 31, 32, 38, 39, 46, 47, 49, 50], "sklearn_histgb": [23, 49], "sklearn_gb": [23, 49], "deprecationwarn": [23, 49], "007": [23, 25, 34, 46, 49, 51], "849": [23, 24, 49, 50], "004": [23, 24, 30, 43, 46, 49, 50, 51], "844": [23, 28, 49, 54], "419": 23, "870": [23, 24, 49, 50], "898": [23, 24, 49, 50], "022": [23, 34], "872": [23, 24, 49, 50], "701": 23, "092": 23, "895": [23, 49], "106": [23, 28, 37], "035": [23, 30, 34], "887": [23, 49], "highest": [23, 24, 28, 29, 30, 38, 49, 50, 54, 55, 56], "fastest": 23, "whichev": [23, 49], "overus": [23, 49], "mainten": [23, 49], "maintain": [23, 28, 49, 54], "dict_kei": [23, 49], "del": [23, 49], "votingclassifi": [23, 49], "averaging_model": [23, 49], "votingclassifiervotingclassifi": [23, 49], "regressioncolumntransform": [23, 49], "dropdroplogisticregressionlogisticregress": [23, 25, 49], "treecolumntransform": [23, 49], "dropdropdecisiontreeclassifierdecisiontreeclassifi": [23, 49], "forestcolumntransform": [23, 49], "dropdroprandomforestclassifierrandomforestclassifi": [23, 49], "xgboostcolumntransform": [23, 49], "dropdropxgbclassifierxgbclassifi": [23, 49], "base_scor": [23, 49], "booster": [23, 49], "callback": [23, 28, 34, 49], "colsample_bylevel": [23, 49], "colsample_bynod": [23, 49], "colsample_bytre": [23, 49], "early_stopping_round": [23, 49], "enable_categor": [23, 49], "eval_metr": [23, 24, 49, 50], "feature_typ": [23, 49], "gpu_id": [23, 49], "grow_polici": [23, 49], "importance_typ": [23, 49], "interaction_constraint": [23, 49], "max_bin": [23, 49], "max_cat_threshold": [23, 49], "max_cat_to_onehot": [23, 49], "max_delta_step": [23, 49], "max_leav": [23, 49], "min_child_weight": [23, 49], "monotone_constraint": [23, 49], "num_parallel_tre": [23, 49], "lightgbmcolumntransform": [23, 49], "dropdroplgbmclassifierlgbmclassifi": [23, 49], "constitu": [23, 49], "conceptu": [23, 49], "test_g50k": [23, 49], "test_l50k": [23, 49], "r1": [23, 49], "named_estimators_": [23, 49], "663111": 23, "760000": [23, 49], "601041": [23, 49], "685786": [23, 49], "247537": 23, "678924": [23, 49], "513223": [23, 49], "463582": [23, 49], "636616": 23, "621537": [23, 49], "684857": [23, 49], "665882": [23, 49], "616069": 23, "770000": [23, 49], "731338": [23, 49], "683015": [23, 49], "41934687": 23, "58065313": 23, "summat": [23, 49], "sum_prob_ex1_class_0": [23, 49], "096734368958311": 23, "sum_prob_ex1_class_1": [23, 49], "903265631041689": 23, "n_constitu": [23, 49], "41934687379166224": 23, "5806531262083378": 23, "37822156": 23, "62177844": 23, "483": 23, "433": 23, "953": [23, 49], "classifiers_ndt": [23, 49], "averaging_model_ndt": [23, 49], "cross_val": [23, 49], "voting_ndt": [23, 49], "088": [23, 30], "595": 23, "918": [23, 35, 49], "stackingclassifi": [23, 49], "stacking_model": [23, 49], "final_estimator_": [23, 49], "meta": [23, 49], "valid_sample_df": [23, 49], "valid_sample_x": [23, 49], "valid_sample_i": [23, 49], "r4": 23, "_proba": 23, "283186": 23, "780374": 23, "656264": 23, "046732": 23, "120639": 23, "3171738": 23, "26109096": 23, "73890904": 23, "58523477": 23, "41476523": 23, "24218502": 23, "75781498": 23, "20576452": 23, "79423548": 23, "890": [23, 49], "boggl": [23, 38, 49], "stacking_model_tre": [23, 49], "final_estim": [23, 49], "xgbregressor": [23, 49], "catboostregressor": [23, 49], "votingregressor": [23, 49], "stackingregressor": [23, 49], "bonu": [23, 49], "fernandez": [23, 49], "delgado": [23, 49], "et": [23, 29, 49, 52, 55], "al": [23, 29, 49, 52, 55], "179": [23, 49], "seaborn": [24, 25, 26, 27, 28, 50, 51, 52, 53, 54], "sn": [24, 26, 27, 50, 52, 53], "randomforestclassifi": [24, 25, 31, 50, 51], "ridg": [24, 25, 28, 31, 32, 42, 50, 54], "fulli": [24, 27, 50, 51, 53, 58], "oh": [24, 25, 28, 30, 31, 32, 37, 44, 47, 50, 51, 54, 56], "cancel": 24, "heatmap": [24, 46, 50], "unzip": [24, 50], "subdirectori": [24, 50], "025381": [24, 50], "127107": 24, "184405": 24, "165485": 24, "743555": 24, "843281": 24, "090231": 24, "149788": 24, "491366": 24, "310284": 24, "496757": 24, "389065": 24, "168244": 24, "099230": 24, "888961": 24, "314582": 24, "063173": 24, "022331": 24, "203265": 24, "033279": 24, "082835": 24, "467379": 24, "454788": 24, "475099": 24, "386530": 24, "993666": 24, "144686": 24, "032616": 24, "008111": 24, "916722": [24, 50], "026517": 24, "007387": 24, "919198": [24, 50], "023797": 24, "007133": 24, "912395": [24, 50], "024727": 24, "008341": 24, "914003": [24, 50], "024118": 24, "007278": 24, "548831": [24, 50], "920462": [24, 50], "unchang": [24, 50, 60], "uncorrel": [24, 50], "cor": [24, 50], "corr": [24, 50], "font_scal": [24, 50], "annot": [24, 26, 50, 52], "immedi": [24, 28, 37, 50, 54, 57], "hint": [24, 50], "simplist": [24, 29, 50, 55, 59], "intercept": [24, 30, 45, 50, 56], "sum_i": [24, 29, 50, 51, 55], "lr_coef": [24, 31, 32, 50], "3717": 24, "542624": 24, "4552": 24, "332671": 24, "1582": [24, 50], "710031": [24, 50], "5118": [24, 50], "035161": [24, 50], "12498": 24, "401830": 24, "4854": 24, "438906": 24, "4234": 24, "888066": 24, "185155": 24, "5253": 24, "253432": 24, "3681": 24, "749118": 24, "581": 24, "237935": 24, "1273": 24, "072243": 24, "2759": 24, "043319": 24, "6744": 24, "462545": 24, "13407": 24, "646050": 24, "627722": 24, "15992": 24, "080694": 24, "2305": 24, "121599": 24, "215865": 24, "2836": 24, "007434": 24, "easiest": [24, 32, 50], "4236": [24, 50], "969653": [24, 50], "exterior": [24, 50], "sim": [24, 29, 50, 55], "4195": 24, "wow": [24, 50], "one_exampl": [24, 50], "147": [24, 36, 40, 41, 49, 50], "perturb": [24, 27, 37, 50, 53], "one_example_perturb": [24, 50], "229102": [24, 50], "31127015": [24, 50], "96965253": [24, 50], "lr_coefs_landslop": [24, 50], "468": [24, 43, 46, 50], "638169": [24, 50], "7418": [24, 50], "923432": [24, 50], "7887": [24, 50], "561602": [24, 50], "switch": [24, 26, 31, 32, 50, 52], "6950": [24, 50], "285263": [24, 50], "8356": [24, 50], "199771": [24, 50], "6963": 24, "8334": 24, "gtl": [24, 50], "231815": [24, 50], "62688064": [24, 50], "28526302": [24, 50], "071745": [24, 50], "105656": [24, 50], "864205": [24, 50], "27263": [24, 50], "223804": [24, 50], "22001": [24, 50], "877390": [24, 50], "19422": [24, 50], "775311": [24, 50], "34182": [24, 50], "041704": [24, 50], "36525": [24, 50], "193346": [24, 50], "37546": [24, 50], "996765": [24, 50], "39931": [24, 50], "371722": [24, 50], "013120": [24, 50], "roof": [24, 50], "clai": [24, 50], "tile": [24, 50], "191k": [24, 50], "2817": [24, 50], "196385": [24, 50], "2822": 24, "5109": 24, "1578": 24, "sound": [24, 25, 38, 50, 51], "btw": [24, 32], "divis": [24, 50], "lr_scale": [24, 50], "var_": [24, 50], "821040": [24, 50], "218760": [24, 50], "959139": [24, 50], "8994": [24, 50], "471032": [24, 50], "392082": [24, 50], "sqft": [24, 50], "x_test_enc": [24, 31, 32, 50], "one_ex_preprocess": [24, 50], "085415": [24, 50], "66368": [24, 50], "792023": [24, 50], "438592": [24, 50], "orig_pr": [24, 50], "457": [24, 32], "one_ex_preprocessed_perturb": [24, 50], "914585": [24, 50], "03516073": [24, 50], "perturbed_pr": [24, 50], "5690201394302518": 24, "148": [24, 36, 43, 46], "rl": [24, 50], "9505": 24, "pave": [24, 50], "ir1": [24, 50], "lvl": [24, 50], "allpub": [24, 50], "wd": [24, 50], "35671794": 24, "9506": 24, "91063776": 24, "56902014": 24, "uninterpret": [24, 50], "neq": [24, 28, 50, 54], "impress": [24, 50], "healthcar": [24, 50], "crimin": [24, 50], "leverag": [24, 28, 50, 54], "yann": [24, 50], "lecun": [24, 50], "kilian": [24, 50], "weinberg": [24, 50], "patric": [24, 50], "simard": [24, 50], "rich": [24, 32, 50], "caruana": [24, 50], "5514": [24, 49, 50], "256263": [24, 49, 50], "19777": [24, 49, 50], "170277": [24, 49, 50], "servic": [24, 25, 28, 32, 34, 37, 49, 50, 51, 54], "10781": [24, 49, 50], "75826": [24, 49, 50], "divorc": [24, 38, 49, 50], "unmarri": [24, 49, 50], "32240": [24, 49, 50], "24395": [24, 49, 50], "9876": [24, 49, 50], "356689": [24, 49, 50], "tree_numeric_transform": [24, 50], "xgboost": [24, 50], "logloss": [24, 50], "669": 24, "026": 24, "510": 24, "217": [24, 40, 41], "046": [24, 30, 49], "ohe_feature_nam": [24, 31, 50], "workclass_self": [24, 50], "emp": [24, 50], "workclass_st": [24, 50], "workclass_without": [24, 50], "pai": [24, 50], "workclass_miss": [24, 50], "356531": 24, "status_marri": [24, 50], "af": [24, 50], "741562": 24, "occupation_priv": [24, 50], "420671": 24, "327308": 24, "relationship_wif": [24, 50], "268302": 24, "country_columbia": [24, 50], "082248": 24, "occupation_prof": [24, 50], "067944": 24, "occupation_exec": [24, 50], "manageri": [24, 50], "044826": 24, "relationship_own": [24, 50], "009961": 24, "country_dominican": [24, 50], "republ": [24, 50], "008462": 24, "todens": [24, 25, 29, 50, 51, 55], "corr_df": [24, 50], "arbitrari": [24, 26, 27, 31, 50, 52, 53], "high_corr": [24, 50], "occupation_miss": [24, 50], "relationship_husband": [24, 50], "9977957422135846": [24, 50], "8937442459553657": [24, 50], "investig": [24, 50, 58, 59], "colinear": [24, 50], "inflat": [24, 50], "vif": [24, 50], "561": [24, 25, 43, 46], "agnost": [24, 50], "permut": [24, 50], "543351": [24, 50], "294855": [24, 50], "160727": [24, 50], "001068": [24, 50], "country_guatemala": [24, 50], "country_iran": [24, 50], "country_india": [24, 50], "country_hungari": [24, 50], "country_hong": [24, 50], "country_hondura": [24, 50], "inspect": [24, 27, 50, 53], "get_permutation_import": [24, 50], "x_train_perm": [24, 50], "n_repeat": [24, 50], "perm_sorted_idx": [24, 50], "importances_mean": [24, 50], "argsort": [24, 29, 50, 55], "boxplot": [24, 50], "vert": [24, 50], "rf_imp_df": 24, "230412": [24, 50], "122210": [24, 50], "114521": [24, 50], "113815": [24, 50], "077887": [24, 50], "044242": 24, "038287": 24, "status_nev": [24, 50], "025661": 24, "9999999999999998": [24, 50], "inde": [24, 29, 50, 55], "eli5": [24, 50], "variant": [24, 27, 48, 50, 53], "lundberg": [24, 50], "2017": [24, 31, 50, 60], "country_puerto": [24, 50], "rico": [24, 50], "country_scotland": [24, 50], "country_south": [24, 50], "country_taiwan": [24, 50], "country_thailand": [24, 50], "921955": [24, 50], "21768": [24, 31, 50], "258387": [24, 50], "069150": [24, 50], "447517": [24, 50], "185975": [24, 50], "042081": [24, 50], "216346": [24, 50], "663822": [24, 50], "553965": [24, 50], "6513": [24, 50], "lgbm_explain": [24, 50], "treeexplain": [24, 50], "train_lgbm_shap_valu": [24, 50], "shap_valu": [24, 50], "08151507e": [24, 50], "82025568e": [24, 50], "70162085e": [24, 50], "03017665e": [24, 50], "00000000e": [24, 39, 50], "69027185e": [24, 50], "46019608e": [24, 50], "77536150e": [24, 50], "69698010e": [24, 50], "00720988e": [24, 50], "78058051e": [24, 50], "39095422e": [24, 50], "50475372e": [24, 50], "51137414e": [24, 50], "02446630e": [24, 50], "54676006e": [24, 50], "05137470e": [24, 50], "89706451e": [24, 50], "74798624e": [24, 50], "13229595e": [24, 50], "31449687e": [24, 50], "32247597e": [24, 50], "01432486e": [24, 50], "99744241e": [24, 50], "03411038e": [24, 50], "04709519e": [24, 50], "15559528e": [24, 50], "32397724e": [24, 50], "55862988e": [24, 50], "05290827e": [24, 50], "11336331e": [24, 50], "stick": [24, 31, 50], "26048": [24, 50], "test_lgbm_shap_valu": [24, 50], "js": [24, 26, 50], "initj": [24, 50], "y_test_reset": [24, 50], "6508": [24, 50], "6509": [24, 50], "6510": [24, 50], "6511": [24, 50], "6512": [24, 50], "l50k_ind": [24, 50], "g50k_ind": [24, 50], "ex_l50k_index": [24, 50], "ex_g50k_index": [24, 50], "476406": [24, 50], "649658": [24, 50], "345": [24, 41, 50], "99240562": [24, 50], "00759438": [24, 50], "723502": [24, 50], "253426": [24, 50], "256666": [24, 50], "403715": [24, 50], "003408": [24, 50], "001051": [24, 50], "000663": [24, 50], "force_plot": [24, 50], "expected_valu": [24, 50], "occupation_oth": [24, 50], "raw_scor": [24, 50], "76270194": [24, 50], "61912405": [24, 50], "45555535": [24, 50], "13521135": [24, 50], "62873917": [24, 50], "84062193": [24, 50], "872722908439952": [24, 50], "336411423367732": 24, "3364114233677307": 24, "8727229084399575": [24, 50], "35997929": [24, 50], "64002071": [24, 50], "5754540510801829": [24, 50], "336": [24, 50], "074859": [24, 50], "805468": [24, 50], "565589": [24, 50], "417642": [24, 50], "324636": [24, 50], "185687": [24, 50], "148519": [24, 50], "139914": [24, 50], "108003": [24, 50], "106276": [24, 50], "dependence_plot": [24, 50], "similarli": [24, 26, 32, 50, 52], "summary_plot": [24, 50], "plot_typ": [24, 50], "deepexplain": [24, 50], "kernelexplain": [24, 50], "gradientexplain": [24, 50], "kera": [24, 50], "pixel": [24, 50], "lime": 24, "bother": [24, 50], "strang": [24, 32, 50], "regulatori": [24, 50], "guidelin": [24, 25, 50, 51], "multicoliniar": [24, 50], "causal": [24, 25, 50, 51], "evenli": [24, 33, 50], "l1": [24, 32, 50], "overconfid": [24, 25, 50, 51], "npr": [25, 29, 34, 42, 51, 55], "ridgecv": [25, 42, 51], "flight": [25, 34, 51], "arriv": [25, 29, 51, 55], "departur": [25, 51], "durat": [25, 31, 32, 51], "valuabl": [25, 27, 51, 53, 57, 58, 60], "fancier": [25, 51], "jason": [25, 51], "brownle": [25, 51], "brain": [25, 30, 51, 56], "spectrogram": [25, 51], "wavelet": [25, 51], "convolut": [25, 30, 51, 56], "synthet": [25, 30, 44, 51], "sb": [25, 51], "column_stack": [25, 51], "x1": [25, 28, 51, 54], "x2": [25, 27, 28, 51, 53, 54], "scatterplot": [25, 51], "x1x2": [25, 51], "x_1x_2": 25, "xx": [25, 26, 44, 51, 52], "yy": [25, 31, 51], "meshgrid": [25, 51], "rng": [25, 27, 51, 53], "randomst": [25, 27, 51, 53], "x_xor": 25, "y_xor": 25, "logical_xor": [25, 51], "764052": 25, "400157": 25, "705898": 25, "978738": 25, "240893": 25, "193247": 25, "867558": 25, "977278": 25, "825123": 25, "950088": 25, "151357": 25, "143803": 25, "103219": 25, "410599": 25, "042382": 25, "3d": [25, 30, 56], "plotli": [25, 29, 55], "px": [25, 29, 55], "scatter_3d": 25, "color_continuous_scal": [25, 55], "polynomialfeatur": [25, 31, 51], "pipe_xor": [25, 51], "interaction_onli": [25, 31, 51], "include_bia": [25, 31], "995": [25, 51], "transpos": [25, 28, 30, 36, 40, 41, 51, 56], "x0": [25, 51], "028452": 25, "130408": 25, "085959": 25, "logic": [25, 51], "conjunct": [25, 51], "park": [25, 38, 51], "roger": [25, 51], "arena": [25, 51], "9am": [25, 51], "7pm": [25, 51], "california_h": [25, 51], "20639": [25, 51], "20433": [25, 51], "9950": [25, 51], "164": [25, 28, 29, 30, 51, 55], "5694": [25, 51], "287500": [25, 51], "219512": [25, 51], "3547": [25, 51], "6154": [25, 51], "1070": [25, 51], "3010": [25, 51], "1034": [25, 51], "6392": [25, 51], "271500": [25, 51], "951644": [25, 51], "4448": [25, 51], "1452": [25, 51], "371": [25, 31, 51], "7292": [25, 51], "191700": [25, 51], "628032": [25, 51], "6984": [25, 51], "2071": [25, 51], "398": [25, 51], "988": [25, 51], "6226": [25, 51], "219700": [25, 51], "126238": [25, 51], "4432": [25, 51], "1320": [25, 51], "309": [25, 34, 40, 41, 48, 51], "1405": [25, 51], "328": [25, 51], "4375": [25, 28, 51, 54], "024390": [25, 51], "490": 25, "167600": 25, "4687": 25, "793": [25, 48], "2436": 25, "180900": 25, "4153": 25, "2435": 25, "286200": 25, "1545": 25, "334": [25, 34, 41], "412500": 25, "1911": 25, "59300": 25, "x_train_hous": [25, 51], "y_train_hous": [25, 51], "preprocessor1": [25, 51], "lr_1": [25, 51], "018136": 25, "001949": 25, "280028": [25, 51], "311769": [25, 51], "005248": 25, "001424": 25, "325319": [25, 51], "300464": [25, 51], "003511": 25, "001297": 25, "317277": [25, 51], "301952": [25, 51], "001328": 25, "316798": [25, 51], "303004": [25, 51], "003403": 25, "001284": 25, "260258": [25, 51], "314840": [25, 51], "dpi": [25, 36, 51], "bucket": [25, 51], "kbinsdiscret": [25, 51], "discretization_feat": [25, 51], "preprocessor2": [25, 51], "n_bin": [25, 51], "lr_2": [25, 51], "032049": 25, "003981": 25, "441445": [25, 51], "456419": [25, 51], "016939": 25, "004483": 25, "469571": [25, 51], "446216": [25, 51], "016176": 25, "003384": 25, "479132": [25, 51], "446869": [25, 51], "016040": 25, "003497": 25, "450822": [25, 51], "453367": [25, 51], "016045": 25, "003377": 25, "388169": [25, 51], "467628": [25, 51], "kbinsdiscretizerkbinsdiscret": 25, "kbinsdiscretizer__latitude_0": [25, 51], "kbinsdiscretizer__latitude_1": [25, 51], "kbinsdiscretizer__latitude_2": [25, 51], "kbinsdiscretizer__latitude_3": [25, 51], "kbinsdiscretizer__latitude_4": [25, 51], "kbinsdiscretizer__latitude_5": [25, 51], "kbinsdiscretizer__latitude_6": [25, 51], "kbinsdiscretizer__latitude_7": [25, 51], "kbinsdiscretizer__latitude_8": [25, 51], "kbinsdiscretizer__latitude_9": [25, 51], "kbinsdiscretizer__longitude_11": [25, 51], "kbinsdiscretizer__longitude_12": [25, 51], "kbinsdiscretizer__longitude_13": [25, 51], "kbinsdiscretizer__longitude_14": [25, 51], "kbinsdiscretizer__longitude_15": [25, 51], "kbinsdiscretizer__longitude_16": [25, 51], "kbinsdiscretizer__longitude_17": [25, 51], "kbinsdiscretizer__longitude_18": [25, 51], "kbinsdiscretizer__longitude_19": [25, 51], "pipeline__rooms_per_household": [25, 51], "316164": [25, 51], "209903": [25, 51], "711852": [25, 51], "117528": [25, 51], "554621": [25, 51], "064307": [25, 51], "235706": [25, 51], "212581": [25, 51], "271037": [25, 51], "027321": [25, 51], "preprocessor3": [25, 51], "lr_3": [25, 51], "026807": 25, "003209": 25, "590618": [25, 51], "571969": [25, 51], "014674": 25, "002614": 25, "575907": [25, 51], "570473": [25, 51], "014649": 25, "002734": 25, "579091": [25, 51], "573542": [25, 51], "014581": 25, "002573": 25, "571500": [25, 51], "574260": [25, 51], "016785": 25, "002684": 25, "541488": [25, 51], "581687": [25, 51], "coefs_df": [25, 51], "bound": [25, 51], "ndframe": [25, 32, 51], "longitude_1": [25, 51], "211343": [25, 51], "036136": [25, 51], "latitude_1": [25, 51], "205059": [25, 51], "296601": [25, 51], "latitude_0": [25, 51], "201862": [25, 51], "534342": [25, 51], "longitude_0": [25, 51], "190319": [25, 51], "721818": [25, 51], "longitude_2": [25, 51], "160282": [25, 51], "191204": [25, 51], "longitude_3": [25, 51], "157234": [25, 51], "920305": [25, 51], "latitude_2": [25, 51], "154105": [25, 51], "963689": [25, 51], "rooms_per_household_19": [25, 51], "138503": [25, 51], "477291": [25, 51], "latitude_8": [25, 51], "135299": [25, 51], "516394": [25, 51], "longitude_4": [25, 51], "132292": [25, 51], "924485": [25, 51], "latitude_7": [25, 51], "124982": [25, 51], "236174": [25, 51], "latitude_3": [25, 51], "118563": [25, 51], "786115": [25, 51], "longitude_5": [25, 51], "116145": [25, 51], "526596": [25, 51], "rooms_per_household_18": [25, 51], "102044": [25, 51], "252042": [25, 51], "longitude_6": [25, 51], "96554": [25, 51], "525554": [25, 51], "latitude_4": [25, 51], "92809": [25, 51], "389349": [25, 51], "latitude_6": [25, 51], "90982": [25, 51], "951669": [25, 51], "latitude_9": [25, 51], "71096": [25, 51], "652487": [25, 51], "rooms_per_household_17": [25, 51], "70472": [25, 51], "564483": [25, 51], "latitude_5": [25, 51], "69411": [25, 51], "023366": [25, 51], "longitude_10": [25, 51], "52398": [25, 51], "892961": [25, 51], "rooms_per_household_16": [25, 51], "44311": [25, 51], "362553": [25, 51], "rooms_per_household_15": [25, 51], "31454": [25, 51], "877046": [25, 51], "longitude_7": [25, 51], "25658": [25, 51], "862997": [25, 51], "latitude_10": [25, 51], "20311": [25, 51], "784573": [25, 51], "rooms_per_household_14": [25, 51], "16460": [25, 51], "273962": [25, 51], "rooms_per_household_13": [25, 51], "9351": [25, 51], "210272": [25, 51], "longitude_8": [25, 51], "6322": [25, 32, 51], "652986": [25, 51], "rooms_per_household_12": [25, 51], "1858": [25, 51], "970683": [25, 51], "rooms_per_household_11": [25, 51], "12178": [25, 51], "614567": [25, 51], "longitude_9": [25, 51], "14579": [25, 51], "657675": [25, 51], "rooms_per_household_10": [25, 51], "16630": [25, 51], "535622": [25, 51], "rooms_per_household_9": [25, 51], "19591": [25, 51], "810098": [25, 51], "longitude_11": [25, 51], "22741": [25, 51], "635200": [25, 51], "rooms_per_household_8": [25, 51], "26919": [25, 51], "381190": [25, 51], "rooms_per_household_7": [25, 51], "30573": [25, 51], "540359": [25, 51], "rooms_per_household_6": [25, 51], "32734": [25, 51], "570739": [25, 51], "rooms_per_household_4": [25, 51], "40689": [25, 51], "197649": [25, 51], "rooms_per_household_3": [25, 51], "42060": [25, 51], "071975": [25, 51], "rooms_per_household_5": [25, 51], "43445": [25, 51], "134061": [25, 51], "rooms_per_household_2": [25, 51], "47606": [25, 51], "596151": [25, 51], "rooms_per_household_0": [25, 51], "50884": [25, 51], "444297": [25, 51], "rooms_per_household_1": [25, 51], "51143": [25, 51], "091625": [25, 51], "latitude_13": [25, 51], "57510": [25, 51], "779271": [25, 51], "longitude_14": [25, 51], "70978": [25, 51], "802502": [25, 51], "longitude_13": [25, 51], "89270": [25, 51], "957075": [25, 51], "longitude_12": [25, 51], "90669": [25, 51], "093228": [25, 51], "latitude_11": [25, 51], "100275": [25, 51], "316426": [25, 51], "longitude_15": [25, 51], "105080": [25, 51], "071654": [25, 51], "latitude_12": [25, 51], "111438": [25, 51], "823543": [25, 51], "latitude_14": [25, 51], "114836": [25, 51], "305674": [25, 51], "latitude_15": [25, 51], "116443": [25, 51], "256437": [25, 51], "longitude_16": [25, 51], "119570": [25, 51], "316230": [25, 51], "latitude_16": [25, 51], "140185": [25, 51], "299164": [25, 51], "longitude_17": [25, 51], "174766": [25, 51], "515848": [25, 51], "latitude_18": [25, 51], "185868": [25, 51], "754874": [25, 51], "latitude_17": [25, 51], "195564": [25, 51], "951574": [25, 51], "longitude_18": [25, 51], "205144": [25, 51], "956966": [25, 51], "longitude_19": [25, 51], "255751": [25, 51], "248664": [25, 51], "latitude_19": [25, 51], "262361": [25, 51], "647795": [25, 51], "covid": [25, 51], "tweet": [25, 29, 51, 55], "corona_nlp_test": [25, 51], "neutral": [25, 34, 51], "619": [25, 51], "599": [25, 51], "592": [25, 51], "usernam": [25, 51], "screennam": [25, 51], "tweetat": [25, 51], "originaltweet": [25, 51], "1927": [25, 51], "1928": [25, 51], "46880": [25, 51], "seattl": [25, 51], "1068": [25, 51], "1069": [25, 51], "46021": [25, 51], "shit": [25, 51], "45756": [25, 51], "secpompeo": [25, 51], "realdonaldtrump": [25, 51], "2846": [25, 51], "2847": [25, 51], "47799": [25, 51], "flagstaff": [25, 51], "az": [25, 51], "lauvagrand": [25, 51], "sick": [25, 26, 51, 52], "panic": [25, 51], "3768": [25, 51], "3769": [25, 51], "48721": [25, 51], "montreal": [25, 29, 51, 55], "coronaviru": [25, 51], "toilet": [25, 28, 30, 51], "46075": 25, "groceri": [25, 30], "shelv": 25, "wher": 25, "1347": 25, "46299": 25, "highland": 25, "3454": [25, 32], "3455": 25, "48407": 25, "houston": 25, "h": [25, 26, 29, 30, 52, 55, 56, 58], "3437": 25, "3438": [25, 28, 54], "48390": 25, "washington": [25, 28, 51], "dc": [25, 31, 32, 51], "supermarket": 25, "boom": 25, "covid2019": 25, "3582": [25, 32, 34], "3583": 25, "48535": 25, "st": [25, 31, 34, 51], "jame": [25, 29, 32, 51, 55], "newcastl": [25, 51], "im": 25, "3038": [25, 51], "london": [25, 51], "england": [25, 51], "lo": [25, 51], "angel": [25, 32, 51], "york": [25, 31, 34, 38, 51], "ny": [25, 51], "suburb": [25, 51], "chicago": [25, 51], "philippin": [25, 51], "dont": [25, 51], "windsor": [25, 51], "ia": [25, 51], "1441": [25, 51], "852": [25, 32, 38, 51], "472": [25, 51], "479": 25, "032": 25, "413": [25, 34, 51], "nltk": [25, 29, 34, 51, 55], "emoji": [25, 51], "spacymoji": [25, 51], "en_core_web_md": [25, 29, 34, 51, 55], "punkt": [25, 51], "nltk_data": [25, 29, 51, 55], "vader_lexicon": [25, 51], "vader": [25, 51], "sentimentintensityanalyz": [25, 51], "sid": [25, 51], "sweet": [25, 51], "polarity_scor": [25, 51], "neu": [25, 51], "368": [25, 31, 51], "632": [25, 51], "compound": [25, 29, 30, 51, 55, 56], "8225": [25, 51], "249": [25, 41, 51], "751": [25, 37, 51], "5106": [25, 51], "explos": [25, 51], "Ines": [25, 51], "montani": [25, 51], "en": [25, 31, 32, 51], "customiz": [25, 51], "sample_text": [25, 51], "dolli": [25, 51], "parton": [25, 51], "gift": [25, 51], "jolen": [25, 51], "fund": [25, 51], "vaccin": [25, 51], "netflix": [25, 49, 51], "christma": [25, 51], "christin": [25, 51], "baranski": [25, 51], "scroog": [25, 51], "landown": [25, 51], "threaten": [25, 51], "evict": [25, 51], "ev": [25, 51], "choreograph": [25, 51], "legendari": [25, 51], "debbi": [25, 51], "allen": [25, 51], "jennif": [25, 51], "lewi": [25, 51], "herself": [25, 38, 51, 55], "amongst": [25, 51], "thepopbreak": 25, "miracl": 25, "speech": [25, 29, 51, 55], "token": [25, 33, 34, 51], "pos_": [25, 29, 34, 51, 55], "propn": [25, 51, 55], "aux": [25, 51, 55], "det": [25, 29, 34, 51, 55], "noun": [25, 29, 33, 51, 55], "adp": [25, 29, 34, 51, 55], "pron": [25, 29, 34, 51, 55], "punct": [25, 29, 34, 51, 55], "verb": [25, 29, 33, 51, 55], "adj": [25, 51, 55], "entiti": [25, 28, 33, 51, 54], "displaci": [25, 29, 51, 55], "ent": [25, 29, 51, 55], "fac": [25, 51], "movieto": [25, 51], "label_": [25, 29, 51, 55], "norg": [25, 29, 51, 55], "nperson": [25, 51], "ndate": [25, 51], "agenc": [25, 51, 55], "institut": [25, 51, 55], "fiction": [25, 51], "period": [25, 29, 31, 51, 55, 57], "inter": [25, 51], "disclos": [25, 33, 51, 57], "annual": [25, 51], "hitter": [25, 51], "microsoft": [25, 51], "compet": [25, 51], "ibm": [25, 51], "salesforc": [25, 51], "your_miniconda_path": [25, 51], "add_pip": [25, 51], "138": [25, 28, 32, 51, 54], "smile": [25, 51], "dark": [25, 51], "get_relative_length": [25, 51], "twitter_allowed_char": [25, 51], "get_length_in_word": [25, 51], "word_token": [25, 29, 34, 51, 55], "get_senti": [25, 51], "lexicon": [25, 51], "get_avg_word_length": [25, 51], "has_emoji": [25, 51], "n_word": [25, 29, 51, 55], "vader_senti": [25, 51], "rel_char_len": [25, 51], "average_word_length": [25, 51], "uppercas": 25, "all_cap": [25, 51], "isupp": [25, 51], "1053": [25, 51], "589286": [25, 51], "932143": [25, 51], "636364": [25, 51], "910714": 25, "741935": 25, "8481": 25, "907143": 25, "023810": 25, "passthrough_featur": [25, 32, 51], "text_featur": [25, 51], "689": [25, 51], "passthroughpassthroughcountvectorizeroriginaltweetcountvectorizercountvector": 25, "cv_feat": [25, 51], "feat_nam": [25, 31, 37, 51], "coef": [25, 31, 32, 51], "141919": [25, 51], "11331": [25, 51], "369740": [25, 51], "2551": [25, 51], "coronapocalyps": [25, 51], "809931": [25, 51], "2214": [25, 51], "744717": [25, 51], "8661": [25, 51], "retail": [25, 51], "723808": [25, 51], "9862": [25, 51], "157669": [25, 51], "3299": [25, 51, 55], "159067": [25, 51], "4879": [25, 51], "311957": [25, 51], "3129": [25, 46, 51], "die": [25, 38, 51], "366538": [25, 51], "7504": [25, 51], "527156": [25, 51], "11664": [25, 51], "appendix": [25, 51], "ngram": [25, 33, 51], "emoticon": [25, 26, 51, 52], "kaggler": [25, 51], "xavier": [25, 28, 51, 54], "conort": [25, 51], "quest": [25, 51], "bmatrix": [25, 28, 29, 51, 54, 55], "x_n": [25, 51], "leq": [25, 26, 51, 52], "cheaper": [25, 51], "discard": [25, 29, 33, 51, 55], "load_breast_canc": [25, 51], "284": [25, 31, 51], "pipe_lr_all_feat": 25, "003118": 25, "000510": 25, "968233": [25, 51], "987681": [25, 51], "selectfrommodel": [25, 51], "threahold": [25, 51], "feature_select": [25, 51], "select_rf": [25, 51], "n_estim": [25, 31, 32, 51], "select_knn": [25, 51], "pipe_lr_model_bas": [25, 51], "select_svc": [25, 51], "089411": 25, "004722": 25, "950564": [25, 51], "974480": [25, 51], "088459": 25, "004785": 25, "computation": [25, 29, 51, 52, 55], "feature_importances_": [25, 35, 51], "n_features_to_select": [25, 51], "ranking_": [25, 51], "concav": [25, 51], "radiu": [25, 27, 51, 53], "textur": [25, 51], "perimet": [25, 51], "rfecv": [25, 51], "rfe_cv": [25, 51], "symmetri": [25, 51], "fractal": [25, 51], "rfe_pip": [25, 51], "636661": 25, "003365": 25, "943609": [25, 51], "sequentialfeatureselector": [25, 51], "pipe_forward": [25, 51], "stochast": [25, 26, 51, 52], "inject": [25, 42, 51], "anneal": [25, 51], "genet": [25, 51], "discov": [25, 26, 51, 52], "prune": [25, 51], "snp": [25, 51], "biolog": [25, 51], "mom": [25, 51], "collinear": [25, 51], "matern": [25, 51], "grandma": [25, 51], "taco": [25, 51], "ancestor": [25, 51], "dad": [25, 51], "confound": [25, 51], "hidden": [25, 30, 51, 52, 55, 56], "sibl": [25, 51], "babi": [25, 29, 51, 55], "hopeless": [25, 51], "messi": [25, 29, 51, 55], "genom": [25, 49, 51], "pydata": [25, 51], "plotting_functions_unsup": [26, 27, 28, 29, 40, 41, 52, 53, 54], "kmean": [26, 27, 40, 41, 52, 53], "difficulti": [26, 52], "571": 26, "themselv": [26, 27, 29, 52, 53, 55], "stale": [26, 52], "extent": [26, 52], "dataset2": [26, 52], "food": [26, 30, 37, 40, 41, 52], "cook": 26, "hummu": [26, 29, 55], "imposs": [26, 52], "relabel": [26, 52], "coher": [26, 52], "landscap": [26, 52], "social": [26, 28, 31, 33, 52, 54], "determin": [26, 27, 29, 32, 52, 53, 55, 57, 59], "euclidean": [26, 27, 29, 52, 53], "n_cluster": [26, 27, 40, 41, 52, 53], "n_init": [26, 40, 41, 52], "clust_label": [26, 52], "labels_": [26, 27, 52, 53], "toy_clust_df": 26, "feat1": 26, "feat2": 26, "691924": 26, "476412": 26, "707899": 26, "004352": 26, "236210": 26, "119100": 26, "901595": 26, "421215": 26, "859439": 26, "381924": 26, "047749": 26, "305047": 26, "007588": 26, "247439": 26, "454677": 26, "583872": 26, "536362": 26, "111215": 26, "430704": 26, "759561": 26, "cluster_cent": [26, 52], "cluster_centers_": [26, 40, 41, 52], "75745416": [26, 52], "48073598": [26, 52], "04861878": [26, 52], "51226051": [26, 52], "10556679": [26, 52], "65013704": [26, 52], "km_label": [26, 52], "centroid": [26, 27, 52, 53], "chicken": [26, 52], "n_exampl": [26, 52], "69192445": 26, "47641249": 26, "70789903": 26, "00435173": 26, "23621041": 26, "11909976": 26, "90159483": 26, "42121526": 26, "85943906": 26, "38192364": 26, "04774884": 26, "30504657": 26, "00758803": 26, "24743939": 26, "45467725": 26, "58387198": 26, "53636249": 26, "11121453": 26, "4307043": 26, "75956122": 26, "centers_idx": [26, 52], "plot_km_initi": [26, 52], "update_z": [26, 52], "update_cent": [26, 52], "point_index": 26, "plot_example_dist": [26, 52], "point_ind": [26, 52], "old_cent": 26, "new_cent": [26, 52], "kk": 26, "z_km": 26, "plot_km_iter": [26, 52], "converg": [26, 52], "plot_km_it": [26, 52], "x_init": [26, 52], "y_init": [26, 52], "centroids_idx_init": [26, 52], "centroids_idx": [26, 52], "criterion": [26, 27, 41, 52, 53], "u_": 26, "lvert": [26, 29, 55], "mathbf": 26, "_j": 26, "_i": 26, "rvert": 26, "2_2": 26, "lloyd": 26, "naiv": [26, 27, 53], "ndk": 26, "light": [26, 41], "er": 26, "nd": 26, "elkan": 26, "ying": 26, "yang": 26, "unassign": [26, 27, 52, 53], "tast": [26, 28, 37, 54], "roast": 26, "garlic": 26, "lemon": 26, "satisfactori": [26, 52], "p_i": [26, 52], "c_1": [26, 52], "c_2": [26, 52], "c_3": [26, 52], "inertia_": [26, 52], "4372": [26, 52], "460950": [26, 52], "076284": [26, 52], "137410": [26, 52], "359887": [26, 52], "844921": [26, 52], "593508": [26, 52], "126488": [26, 52], "016676": [26, 52], "385639": [26, 52], "053156": [26, 52], "plot_elbow": [26, 52], "inertia_valu": [26, 52], "axvlin": [26, 52], "linestyl": [26, 52], "tick_param": [26, 52], "argu": [26, 29, 52, 55], "inflect": [26, 29, 52, 55], "yellowbrick": [26, 27, 52, 53], "districtdatalab": [26, 52], "kelbowvisu": [26, 52], "plot_silhouette_dist": [26, 52], "imbal": [26, 32, 52], "silhouettevisu": [26, 27, 52, 53], "thick": [26, 37, 52], "dropoff": [26, 52], "rectangular": [26, 52], "spaghetti": 26, "sauc": [26, 37], "malcom": 26, "gladwel": 26, "comprehens": [26, 55, 57], "d3": 26, "gif": [26, 27], "fcluster": [27, 41, 53], "agglomerativeclust": [27, 53], "mixtur": [27, 29, 30, 53, 55, 56], "gaussianmixtur": [27, 52, 53], "make_moon": [27, 52, 53], "decomposit": [27, 28, 29, 53, 54, 55], "epsilon": [27, 53], "nois": [27, 41, 53], "minibatchkmean": [27, 53], "initi": [27, 30, 36, 40, 41, 53, 56, 58, 59, 60], "elbow": [27, 53], "silhouett": [27, 53], "moon": [27, 53], "plot_kmeans_gmm": [27, 53], "make_circl": [27, 52, 53], "spheric": [27, 52, 53], "gmm": [27, 52, 53], "ensiti": [27, 53], "ased": [27, 53], "patial": [27, 53], "luster": [27, 53], "pplicat": [27, 53], "ois": [27, 53], "densiti": [27, 53], "dens": [27, 28, 53, 54], "plot_original_clust": [27, 53], "trivial": [27, 53], "plot_dbscan_with_label": [27, 53], "699901396097973": [27, 53], "961109802000133": [27, 53], "spread": [27, 52, 53], "fit_predict": [27, 41, 53], "plot_dbscan": [27, 53], "uparrow": [27, 53], "obviou": [27, 29, 53, 55], "hdbscan": 27, "x_vari": [27, 53], "y_vari": [27, 53], "cluster_std": [27, 44, 52, 53], "plot_k_means_dbscan_comparison": [27, 53], "suscept": [27, 53], "greedili": [27, 53], "linkage_arrai": [27, 53], "plot_x_dendrogram": [27, 53], "label_n_clust": [27, 53], "intermedi": [27, 30, 53, 56], "parent": [27, 38, 53], "hier_labels1": [27, 53], "maxclust": [27, 41, 53], "plot_dendrogram_clust": [27, 53], "max_clust": [27, 53], "hier_labels2": [27, 53], "loos": [27, 53], "pair": [27, 29, 30, 53, 55, 56, 57], "c1": [27, 53], "c2": [27, 53], "332095": [27, 53], "645802": [27, 53], "911272": [27, 53], "989059": [27, 53], "072565": [27, 53], "fourth": [27, 53], "hier_label": [27, 53], "linkage_typ": [27, 53], "plot_linkage_criteria": [27, 53], "lastp": [27, 53], "truncate_mod": [27, 41, 53], "hc_truncation_toy_demo": [27, 53], "truncation_mod": 27, "granular": [27, 53], "gaussian": [27, 53], "overview": [27, 53], "mutual": [27, 38, 53], "meaningless": [27, 53], "trustworthi": [27, 53], "conting": [27, 53], "tediou": [27, 53], "13th": [28, 54, 55], "client": [28, 54], "bui": [28, 54], "facebook": [28, 29, 54, 55, 57], "linkedin": [28, 54], "journal": [28, 54], "purchas": [28, 54], "y_": [28, 54, 59], "100m": [28, 54], "5m": [28, 54], "18k": [28, 54], "grand": [28, 54], "1m": [28, 54], "adopt": [28, 54], "tinder": [28, 54], "jester_r": [28, 54], "ratings_ful": [28, 54], "userid": [28, 54], "4000": [28, 54], "jokeid": [28, 54], "219": [28, 51, 54], "user_kei": [28, 54], "item_kei": [28, 54], "141362": [28, 54], "141361": [28, 54], "get_stat": [28, 54], "3635": [28, 54], "278": [28, 54], "construct": [28, 54], "user_mapp": [28, 54], "item_mapp": [28, 54], "user_inverse_mapp": [28, 54], "item_inverse_mapp": [28, 54], "create_y_from_r": [28, 54], "val": [28, 32, 54], "iterrow": [28, 54], "y_mat": [28, 54], "137": [28, 32, 34, 41, 54], "656": [28, 54], "031": [28, 54], "531": [28, 54], "406": [28, 30, 54, 56], "562": [28, 54], "969": [28, 54], "812": [28, 54], "906": [28, 54], "3630": [28, 54], "3631": [28, 54], "375": [28, 54], "3632": [28, 54], "312": [28, 40, 41, 54], "3633": [28, 54], "3634": [28, 54], "113089": [28, 54], "28273": [28, 54], "train_mat": [28, 54], "valid_mat": [28, 54], "against": [28, 54, 55], "rmse": [28, 42, 49, 54], "nanmean": [28, 54], "pred_x": [28, 54], "train_x": [28, 54], "valid_x": [28, 54], "model_nam": [28, 54], "pred_g": [28, 54], "20741": [28, 54], "knnimput": [28, 54], "n_neighbor": [28, 36, 54, 59], "train_mat_imp": [28, 54], "2810": [28, 54], "7810": [28, 54], "6560": [28, 54], "0310": [28, 54], "4690": [28, 54], "7190": [28, 54], "1560": [28, 35, 54], "5311": [28, 54], "8968": [28, 54], "6905": [28, 54], "1218": [28, 48, 54], "2843": [28, 54], "6063": [28, 54], "1812": [28, 54], "3937": [28, 54], "7625": [28, 54], "4092": [28, 54], "3405": [28, 54], "9380": [28, 54], "5310": [28, 54], "4060": [28, 54], "6880": [28, 54], "2437": [28, 54], "1719": [28, 54], "0251": [28, 54], "2407": [28, 54], "9311": [28, 54], "8375": [28, 54], "3812": [28, 54], "2532": [28, 54], "8440": [28, 54], "5750": [28, 54], "9690": [28, 54], "8120": [28, 54], "4186": [28, 54], "1156": [28, 54], "5655": [28, 54], "3720": [28, 54], "0439": [28, 54], "0500": [28, 54], "5563": [28, 54], "4125": [28, 54], "5874": [28, 54], "4624": [28, 54], "9060": [28, 54], "7781": [28, 54], "0532": [28, 54], "8594": [28, 54], "7031": [28, 54], "3687": [28, 54], "8469": [28, 54], "0593": [28, 54], "0344": [28, 43, 46, 54], "1469": [28, 54], "8875": [28, 54], "6845": [28, 54], "0156": [28, 54], "2595": [28, 54], "1971": [28, 35, 54], "0249": [28, 54], "3157": [28, 54], "8658": [28, 54], "7937": [28, 54], "9220": [28, 54], "0940": [28, 54], "2844": [28, 54], "0157": [28, 52, 54], "0406": [28, 54], "5218": [28, 34, 54], "3594": [28, 54], "0968": [28, 54], "9250": [28, 54], "9657": [28, 54], "7750": [28, 54], "0620": [28, 54], "8218": [28, 54], "1470": [28, 54], "8281": [28, 54], "2718": [28, 54], "8782": [28, 54], "0125": [28, 54], "0688": [28, 54], "6844": [28, 54], "0531": [28, 54], "8687": [28, 54], "5281": [28, 54], "1878": [28, 54], "0031": [28, 54], "0908": [28, 54], "3563": [28, 54], "5188": [28, 54], "0625": [28, 54], "4001": [28, 54], "3440": [28, 54], "6408": [28, 54], "1187": [28, 54], "3750": [28, 54], "9314": [28, 54], "9155": [28, 54], "4282": [28, 54], "2968": [28, 54], "7968": [28, 54], "3999": [28, 54], "8500": [28, 54], "8437": [28, 54], "1749": [28, 54], "3844": [28, 54], "5564": [28, 54], "3343": [28, 54], "0126": [28, 54], "8344": [28, 54], "4499": [28, 54], "9312": [28, 54], "4062": [28, 54], "9750": [28, 54], "2220": [28, 54], "5937": [28, 54], "4907": [28, 54], "1594": [28, 54], "1437": [28, 54], "5406": [28, 54], "2031": 28, "7782": [28, 54], "7406": [28, 54], "6406": [28, 54], "8061": [28, 54], "9968": [28, 54], "1626": [28, 54], "4187": [28, 54], "6781": [28, 54], "7658": [28, 54], "4595": [28, 54], "0812": [28, 54], "5620": [28, 54], "2218": [28, 54], "1874": [28, 54], "8156": [28, 54], "7280": [28, 54], "0750": [28, 54], "1033": [28, 54], "5312": [28, 54], "8283": [28, 54], "1219": [28, 48, 54], "item_user_mat": 28, "jokes_df": 28, "jester_item": 28, "joketext": 28, "ncancer": 28, "alzheim": 28, "nthe": 28, "repli": 28, "god": [28, 38], "nfrom": 28, "girlfriend": 28, "pack": 28, "nand": 28, "aw": [28, 37], "pedophil": 28, "nhe": 28, "awfulli": 28, "ten": 28, "feet": [28, 29, 55], "teeth": 28, "front": [28, 57], "willi": 28, "nelson": 28, "concert": 28, "twhat": 28, "simpson": 28, "internet": [28, 32], "tslash": 28, "slash": 28, "backslash": 28, "escap": 28, "id_joke_map": 28, "nearestneighbor": [28, 36], "get_topk_recommend": 28, "query_ind": 28, "cosin": 28, "query_idx": 28, "neigh_ind": 28, "kneighbor": [28, 36], "return_dist": 28, "lingual": [28, 29, 55], "bi": 28, "richard": 28, "nixon": 28, "bill": [28, 30, 56], "clinton": 28, "couldn": [28, 40, 41, 55], "lie": 28, "nclinton": 28, "air": 28, "balloon": 28, "lost": [28, 38], "altitud": 28, "shout": 28, "excus": 28, "meet": [28, 29, 34, 55], "hover": 28, "north": 28, "balloonist": 28, "technic": 28, "frankli": 28, "respond": 28, "risen": 28, "quantiti": 28, "beneath": [28, 38], "fault": 28, "congress": 28, "nof": 28, "progress": [28, 59], "arnold": 28, "swartzeneg": 28, "sylvest": 28, "stallon": 28, "nstallon": 28, "mozart": 28, "nswartzeneg": 28, "bach": 28, "checkmark": [28, 54], "seven": [28, 38], "documentari": [28, 54], "lover": [28, 54], "latent": [28, 29, 30, 54, 55, 56], "svd": [28, 54], "load_from_df": [28, 54], "validset": [28, 54], "trainset": [28, 54], "algo": [28, 54], "n_factor": [28, 54], "svd_pred": [28, 54], "2893": [28, 54], "28926338380112": [28, 54], "mae": [28, 54], "testset": [28, 54], "2793": [], "3071": [], "2962": [], "2816": [], "2819": [], "0210": [], "2022": 31, "2181": 54, "2082": [], "1935": [], "1978": [], "0173": [], "test_rms": [28, 54], "test_ma": [28, 54], "test_tim": [28, 54], "279255": [], "202167": [], "221702": [], "085848": [], "307150": [], "218146": [], "227075": [], "143357": [], "296240": [], "208179": [], "223045": [], "084059": [], "245124": [], "167206": [], "229016": [], "154046": [], "281610": [], "193501": [], "265886": [], "087878": [], "load_builtin": [28, 54], "keyboardinterrupt": [28, 34], "return_train_measur": 28, "pre_dispatch": 28, "get_cv": 28, "delayed_list": 28, "105": 28, "fit_and_scor": 28, "107": [28, 43], "test_measures_dict": 28, "train_measures_dict": 28, "test_measur": 28, "1861": 28, "1862": 28, "1865": 28, "1866": 28, "interrupt": 28, "1867": 28, "worker": 28, "1868": 28, "concurr": 28, "1869": 28, "_lock": 28, "1789": [], "1786": [], "yield": [34, 46], "1788": 35, "1790": 28, "n_dispatched_batch": 28, "1791": 28, "n_dispatched_task": 28, "genexpr": [], "109": [], "fold_i": [], "n_split": 31, "raw_trainset": [], "113": [], "raw_rat": [], "115": 59, "raw_testset": [], "construct_trainset": [], "listcomp": 34, "romanc": [28, 54], "comedi": [28, 54], "toy_rat": [28, 54], "user_id": [28, 54], "movie_id": [28, 54], "sam": [28, 54], "lion": [28, 54], "king": [28, 29, 35, 54, 55], "jerri": [28, 38, 54], "maguir": [28, 54], "roman": [28, 54], "downfal": [28, 54], "titan": [28, 54], "incept": [28, 30, 54, 56], "wire": [28, 54], "dilemma": [28, 54], "bambi": [28, 54], "jim": [28, 54], "malcolm": [28, 54], "utility_mat": [28, 54], "build_testset": [28, 54], "defaultdict": [28, 54], "rating_pr": [28, 54], "uid": [28, 54], "iid": [28, 54], "true_r": [28, 54], "est": [28, 54], "5442874862516582": [28, 54], "471958396420975": [28, 54], "141157981632877": [28, 54], "6555436348053982": [28, 54], "6494404051925047": [28, 54], "8739407581035588": [28, 54], "295718235231984": [28, 54], "8839492577938532": [28, 54], "6435176323135128": [28, 54], "4463313322323263": [28, 54], "540418795140043": [28, 54], "4582870107738803": [28, 54], "1872411557123517": [28, 54], "4442142132704827": [28, 54], "5286392016604875": [28, 54], "133747883605952": [28, 54], "6665140635371194": [28, 54], "3423360343482957": [28, 54], "113324069881786": [28, 54], "685575559931666": [28, 54], "movie_feats_df": [28, 54], "toy_movie_feat": [28, 54], "drama": [28, 38, 54], "gave": [28, 31, 37, 38, 54], "get_lr_data_per_us": [28, 54], "ratings_df": [28, 54], "lr_y": [28, 54], "lr_x": [28, 54], "lr_item": [28, 54], "x_train_usr": [28, 54], "y_train_usr": [28, 54], "rated_item": [28, 54], "get_user_profil": [28, 54], "user_nam": [28, 54], "movie_nam": [28, 54], "profile_df": [28, 54], "romant": [28, 54], "train_for_usr": [28, 54], "predict_for_usr": [28, 54], "feat_vec": [28, 38, 54], "pat_model": [28, 54], "020833": [28, 54], "437500": [28, 54], "854167": [28, 54], "458333": [28, 54], "movies_to_pr": [28, 54], "145833": [28, 54], "eva_model": [28, 54], "pred_lin_reg": [28, 54], "575000": [28, 54], "075000": [28, 54], "450000": [28, 54], "291667": [28, 54], "770833": [28, 54], "312500": [28, 54], "810811": [28, 54], "675676": [28, 54], "783784": [28, 54], "351351": [28, 54], "270270": [28, 54], "revenu": [28, 54], "acquisit": [28, 54], "hardli": [28, 54], "amatriain": [28, 54], "part1": [28, 54], "part2": [28, 54], "offlin": [28, 54], "water": [28, 33, 54], "shoe": [28, 54], "vifuur": [28, 54], "sport": [28, 29, 30, 31, 34, 54, 55, 56], "bought": [28, 54], "fresh": [28, 34, 54, 55], "excit": [28, 54], "opportun": [28, 35, 54, 57], "persist": [28, 54], "login": [28, 54], "implicit": [28, 54], "mous": [28, 54], "harder": [28, 54], "profit": [28, 54], "media": [28, 54], "teen": [28, 54], "girl": [28, 54], "pregnant": [28, 54], "father": [28, 38, 54], "polit": [28, 29, 30, 54, 55, 56], "incit": [28, 54], "violenc": [28, 54], "myanmar": [28, 54], "uncomfort": [28, 54], "hug": 28, "paradox": 28, "comat": [29, 34, 55], "cooccurrencematrix": [29, 34, 55], "sent_token": [29, 34, 55], "mypreprocessor": [29, 34, 55], "analog": [29, 55], "suicid": [29, 55], "boost": [29, 42, 55], "artifici": [29, 34, 55], "gpt": [29, 55], "blog": [29, 31, 55], "wrote": [29, 31, 55], "subtl": [29, 55], "prostitut": [29, 55], "appeal": [29, 55], "pope": [29, 55], "kick": [29, 55], "healthi": [29, 55], "adject": [29, 33, 55], "milk": [29, 55], "drinker": [29, 55], "powder": [29, 55], "gensim": [29, 55], "google_news_vector": [29, 55], "503": [], "return_path": [], "insert": [], "base_dir": [], "502": [], "__import__": [], "load_data": [], "gz": [], "keyedvector": [], "load_word2vec_format": [], "cl": [], "fname": [], "fvocab": [], "unicode_error": [], "datatyp": [], "no_head": [], "classmethod": [], "1673": [], "1674": [], "utf8": 58, "1675": 34, "1676": 34, "1677": 34, "1678": [], "1679": [], "1717": [], "1718": [], "_load_word2vec_format": [], "1721": [], "1722": [], "2065": [], "binary_chunk_s": [], "2062": [], "kv": [], "vector_s": [], "vocab_s": [], "_word2vec_read_binari": [], "2066": [], "fin": [], "2067": [], "2068": [], "2069": [], "_word2vec_read_text": [], "1958": [], "tot_processed_word": [], "1957": [29, 55], "new_chunk": [], "chunk": [], "processed_word": [], "_add_bytes_to_kv": [], "1961": [], "gzip": [], "301": [32, 40, 41], "gzipfil": [], "299": [30, 34, 56], "oserror": [], "ebadf": [], "_buffer": [], "_compress": [], "decompressread": [], "readinto": [], "memoryview": [], "byte_view": [], "_gzipread": [], "497": [], "buf": [], "_fp": [], "default_buffer_s": [], "uncompress": [], "_decompressor": [], "decompress": [], "unconsumed_tail": [], "word1": [29, 55], "word2": [29, 55], "word3": [29, 55], "sim_word": [29, 55], "most_similar": [29, 55], "pizza": [29, 55], "japan": [29, 55], "jurafski": [29, 55], "martin": [29, 55], "favourit": [29, 55], "philosoph": [29, 55], "centuri": [29, 55], "hockei": [29, 34, 55], "mitten": [29, 55], "mitt": [29, 55], "plastic": [29, 55], "igloo": [29, 55], "vikski": [29, 55], "tariff": [29, 55], "scc": [29, 34, 55], "suprem": [29, 34, 55], "court": [29, 33, 34, 55], "disput": [29, 55], "connot": [29, 55], "amaz": [29, 37, 38, 55], "vec1": [29, 55], "vec2": [29, 55], "vec1_i": [29, 55], "vec2_i": [29, 55], "linalg": [29, 55], "similarity_": [29, 55], "dot_product": [29, 55], "rvert_2": [29, 55], "cosine_similar": [29, 55], "tall": [29, 55], "machu": [29, 55], "picchu": [29, 55], "offici": [29, 55, 57], "kilometr": [29, 55], "mile": [29, 55], "northwest": [29, 55], "cusco": [29, 55], "machu_picchu": [29, 55], "get_onehot_encod": [29, 55], "vocab": [29, 38, 55], "print_cosine_similar": [29, 55], "unique_word": [29, 55], "ohe_df": [29, 55], "cdot": [29, 55], "firth": [29, 55], "ident": [29, 30, 36, 40, 41, 55, 56], "synonym": [29, 55], "harri": [29, 55], "1954": [29, 35, 55], "playground": [29, 55], "bag": [29, 30, 37, 38, 42, 55, 56, 60], "window": [29, 32, 55], "digit": [29, 55], "w_2": [29, 55], "crest": [29, 55], "metr": [29, 55], "sea": [29, 30, 55, 56], "ft": [29, 55], "elev": [29, 55], "window_s": [29, 55], "get_feature_nam": [29, 38, 55], "int8": [29, 55], "wikipedia": [29, 30, 34, 55, 56], "everest": 29, "sequoia": [29, 55], "semperviren": [29, 55], "presid": [29, 55], "extend": [29, 30, 55, 56], "wikipedia2vec": [29, 55], "pretrain": [29, 40, 55], "stanford": [29, 55], "fasttext": [29, 55], "phrase": [29, 34, 55], "british_columbia": [29, 55], "word_pair": [29, 55], "pineappl": [29, 34, 55], "mango": [29, 55], "juic": [29, 55], "sun": [29, 31, 33, 41, 55], "algebra": [29, 55], "mikolov": [29, 55], "2013": [29, 31, 35, 55], "canadien": [29, 55], "uoft": 29, "gauss": [29, 55], "mathematician": [29, 55], "bob_dylan": [29, 55], "computer_programm": [29, 55], "widespread": [29, 55], "programm": [29, 55], "awar": 29, "gigabyt": 29, "en_core_web_lr": [29, 55], "ontonot": [29, 55], "telephon": [29, 55], "newswir": [29, 55], "newsgroup": [29, 55], "broadcast": [29, 55], "weblog": [29, 55], "religi": [29, 55], "paragraph": [29, 34, 55], "avg_sent_emb": [29, 34, 55], "appendix_b": [29, 55], "toy_clust": [29, 55], "promin": [29, 55], "dave": [29, 55], "blei": [29, 55], "lawsuit": [29, 55], "parti": [29, 55], "elect": [29, 55], "david": [29, 55], "dirichlet": [29, 30, 55, 56], "comprehend": [29, 36, 55], "toy_lda_data": [29, 55], "toy_x": [29, 55], "latentdirichletalloc": [29, 55], "n_topic": [29, 55], "n_compon": [29, 52, 55], "learning_method": [29, 55], "batch": [29, 30, 34, 36, 55, 56], "document_top": [29, 55], "components_": [29, 55], "plot_lda_w_vector": [29, 55], "print_top": [29, 34, 55], "topics_per_chunk": [29, 55], "fruit": [29, 55], "nutrit": [29, 55], "peac": [29, 34, 55], "canadian": [29, 34, 37, 55], "constitut": [29, 34, 55], "ic": [29, 34, 55], "wiki_dict": [29, 34, 55], "wiki": [29, 34, 55], "wiki_df": [29, 34, 55], "lemma": [29, 34, 55], "ner": [29, 34, 55], "min_token_len": [29, 34, 55], "irrelevant_po": [29, 34, 55], "adv": [29, 34, 55], "cconj": [29, 34, 55], "min_token_length": [29, 34, 55], "clean_text": [29, 34, 55], "is_stop": [29, 34, 55], "lemma_": [29, 34, 55], "text_pp": [29, 34, 55], "topic2vec": [29, 55], "bertop": [29, 55], "unstructur": [29, 55], "rise": [29, 55], "multicultur": [29, 55], "dr": [29, 55], "scotland": [29, 55], "timber": [29, 55], "ostblom": [29, 55], "rodr\u00edguez": [29, 55], "theirs": [29, 55], "chines": [29, 37, 55], "unambigu": [29, 55], "abbrevi": [29, 55], "whitespac": [29, 32, 55], "regex": [29, 55], "ntoken": [29, 55], "jieba": [29, 55], "german": [29, 55], "rindfleischetikettierungs\u00fcberwachungsaufgaben\u00fcbertragungsgesetz": [29, 55], "deleg": [29, 55], "beef": [29, 37, 55], "morpholog": [29, 55], "tip": [29, 55], "wordnet": [29, 55], "omw": [29, 55], "wordnetlemmat": [29, 55], "crude": [29, 55], "affix": [29, 55], "porterstemm": [29, 55], "bewar": [29, 55], "aggress": [29, 55], "porter": [29, 55], "ps": [29, 55], "nafter": [29, 55], "toolkit": [29, 55], "strength": [29, 38, 51, 55], "lightweight": [29, 55], "nlemma": [29, 55], "npo": [29, 55], "corefer": [29, 55], "resolut": [29, 55], "grammat": [29, 33, 55], "gpe": [29, 55], "dep": [29, 55], "capston": 29, "dan": [29, 55], "previous": [30, 31, 56], "lda": [30, 56], "financ": [30, 31, 56], "multiclass": [30, 56], "hacki": [30, 56], "1v": [30, 56], "2v": [30, 56], "3v": [30, 56], "multinomi": [30, 56], "maxent": 30, "plot_multiclass_lr_ovr": [30, 56], "decision_boundari": [30, 56], "65123329": [30, 56], "0536117": [30, 56], "35418019": [30, 56], "28647501": [30, 56], "63320669": [30, 56], "72513556": [30, 56], "42626721": [30, 56], "21616562": [30, 56], "46941346": [30, 56], "8015491": [30, 56], "22149069": [30, 56], "60653543": [30, 56], "50344795e": [30, 56], "92058424e": [30, 56], "07940073e": [30, 56], "1v2": [30, 56], "1v3": [30, 56], "2v3": [30, 56], "onevsrestclassifi": [30, 56], "onevsoneclassifi": [30, 56], "taken": [30, 31, 56, 57, 60], "x_multi": [30, 56], "y_multi": [30, 56], "x_train_multi": [30, 56], "x_test_multi": [30, 56], "y_train_multi": [30, 56], "y_test_multi": [30, 56], "dark2": [30, 56], "273": 40, "7986666666666666": [], "784": 48, "7093333333333334": [], "664": [], "plot_logistic_regression_graph": [30, 56], "layer": [30, 34, 36, 40, 41, 56], "plot_single_hidden_layer_graph": [30, 56], "plot_two_hidden_layer_graph": [30, 56], "net": [30, 32, 51, 56], "1d": [30, 37, 56], "timeseri": [30, 31, 56], "2d": [30, 37, 56], "hardwar": [30, 56], "Being": [30, 56, 58], "mlpregressor": [30, 56], "mlpclassifi": [30, 56], "ecosystem": [30, 56], "graduat": [30, 56], "player": [30, 34, 55, 56], "heavili": [30, 56], "oreilli": [30, 31, 56], "9781789957211": [30, 56], "decad": [30, 56], "beginn": [30, 56], "transfer_learning_tutori": [30, 56], "20learn": [30, 56], "torch": [30, 36, 40, 41, 56], "lr_schedul": [30, 56], "image_s": [30, 36, 40, 41, 56], "data_transforms_bw": [30, 56], "resiz": [30, 36, 40, 41, 56], "grayscal": [30, 56], "num_output_channel": [30, 56], "totensor": [30, 36, 40, 41, 56], "data_dir": [30, 36, 40, 41, 56], "animal_fac": [30, 36, 56], "image_datasets_bw": [30, 56], "imagefold": [30, 36, 40, 41, 56], "dataloaders_bw": [30, 56], "dataload": [30, 36, 40, 41, 56], "batch_siz": [30, 34, 36, 40, 41, 56], "num_work": [30, 36, 40, 41, 56], "dataset_s": [30, 36, 40, 41, 56], "inputs_bw": [30, 56], "make_grid": [30, 36, 40, 41, 56], "pad": [30, 34, 36, 40, 41, 56], "flickr_cat_000002": [30, 56], "flatten_transform": [30, 40, 56], "train_flatten": [30, 56], "valid_flatten": [30, 56], "train_dataload": [30, 56], "valid_dataload": [30, 56], "flatten_train": [30, 40, 56], "flatten_valid": [30, 56], "40000": [30, 31, 56], "40_000": [30, 56], "3333333333333333": [30, 56], "lr_flatten_pip": [30, 56], "3000": [30, 37, 56], "6666666666666666": [30, 56], "grai": [30, 56], "9764706": [], "16862746": [], "18039216": [], "19607843": [], "float32": [30, 34, 55, 56], "cnn": [30, 31, 56], "architectur": [30, 56], "alexnet": [30, 56], "vgg": [30, 56], "resnet": [30, 56], "mobilenet": [30, 56], "becam": [30, 56], "benchmark": [30, 56], "strip": [30, 56], "readlin": [30, 56], "swan": [30, 56], "cygnu": [30, 56], "atratu": [30, 56], "tusker": [30, 56], "echidna": [30, 56], "spini": [30, 56], "anteat": [30, 56], "platypu": [30, 56], "duckbil": [30, 56], "duck": [30, 56], "ornithorhynchu": [30, 56], "anatinu": [30, 56], "wallabi": [30, 56], "brush": [30, 56], "kangaroo": [30, 56], "koala": [30, 56], "bear": [30, 56], "phascolarcto": [30, 56], "cinereu": [30, 56], "wombat": [30, 56], "jellyfish": [30, 56], "anemon": [30, 56], "coral": [30, 56], "vgg16": [30, 36, 40, 41, 56], "spit": [30, 56], "cezannec": [30, 40, 56], "convolutional_neural_network": [30, 40, 56], "vgg16_weight": [30, 56], "centercrop": [30, 56], "485": [30, 56], "456": [30, 32, 56], "229": [30, 33, 56], "225": [30, 56], "img_t": [30, 56], "batch_t": [30, 56], "unsqueez": [30, 56], "eval": [30, 56], "softmax": [30, 56], "dim": [30, 36, 40, 41, 56], "idx": [30, 36, 56], "983": 30, "353": [30, 32, 41], "714": 30, "guenon": 30, "091": 30, "080": 30, "065": 30, "ubc_img": [30, 56], "637": [30, 32], "pomegran": 30, "193": [30, 40, 41], "041": 30, "crate": 30, "safeti": 30, "060": 30, "bannist": 30, "banist": 30, "balustrad": 30, "balust": 30, "handrail": 30, "039": 30, "bubbl": 30, "worm": 30, "rail": 30, "virginia": 30, "barn": 30, "sorrel": 30, "033": 30, "vallei": 30, "vale": 30, "029": [30, 50, 55], "patio": 30, "terrac": 30, "fountain": 30, "lakesid": 30, "lakeshor": 30, "097": 30, "sundial": 30, "proper": [30, 56], "cuda": [30, 36, 40, 41, 56], "is_avail": [30, 36, 40, 41, 56], "data_transform": [30, 36, 40, 41, 56], "randomresizedcrop": [30, 56], "randomhorizontalflip": [30, 56], "image_dataset": [30, 36, 40, 41, 56], "densenet121": [30, 36, 40, 41, 56], "get_featur": [30, 36, 40, 41, 56], "train_load": [30, 56], "valid_load": [30, 56], "squeezenet": [30, 56], "no_grad": [30, 36, 40, 41, 56], "z_train": [30, 36, 40, 41, 56], "1024": [30, 31, 36, 40, 41, 56], "tensor": [30, 36, 40, 41, 56], "z_valid": [30, 36, 56], "detach": [30, 36, 40, 41, 56], "densenet": [30, 36, 40, 41, 56], "densenet121_weight": [30, 36, 40, 41, 56], "imagenet1k_v1": [30, 36, 40, 41, 56], "towardsdatasci": [30, 32, 56], "7f688092391a": [30, 56], "1015": [30, 31, 36, 56], "1017": [30, 31, 36, 56], "1018": [30, 31, 36, 56], "1019": [30, 31, 36, 56], "1021": [30, 31, 36, 56], "1022": [30, 31, 36, 56], "1023": [30, 31, 36, 56], "000483": 30, "009694": 30, "002966": 30, "003535": 30, "079649": 30, "645208": 30, "000452": 30, "001325": 30, "198396": 30, "000328": [30, 36], "126623": 30, "266533": 30, "924311": 30, "007297": 30, "381509": 30, "053698": 30, "325764": 30, "130841": 30, "128843": 30, "764958": 30, "000284": 30, "002102": 30, "002955": 30, "002685": [30, 46], "111121": 30, "212284": 30, "000984": 30, "002903": 30, "414740": 30, "000348": 30, "277046": 30, "424268": 30, "544169": 30, "662279": 30, "593259": 30, "492394": 30, "060665": 30, "524364": 30, "665433": 30, "070349": 30, "000390": 30, "002905": 30, "002416": 30, "003127": 30, "094314": 30, "461192": 30, "000359": 30, "003267": 30, "576526": 30, "000422": 30, "033064": 30, "531866": 30, "567041": 30, "050661": 30, "143195": 30, "206287": 30, "717478": 30, "991739": 30, "127004": 30, "912218": 30, "000374": [30, 36], "002893": 30, "005851": 30, "004015": 30, "091863": 30, "542394": 30, "000349": 30, "003279": [30, 56], "248737": 30, "000273": 30, "747940": 30, "114120": 30, "534144": 30, "278105": 30, "971214": 30, "291732": 30, "099902": 30, "781434": 30, "016797": 30, "517829": 30, "000386": 30, "003049": 30, "001335": 30, "000729": 30, "145898": 30, "681336": 30, "001091": 30, "001438": 30, "198613": 30, "000183": 30, "258712": 30, "296962": 30, "163084": 30, "006049": 30, "179923": 30, "772564": 30, "183432": 30, "651511": 30, "556854": 30, "897929": 30, "8933333333333333": 30, "2015": [30, 31, 35, 56], "inception": [30, 56], "dream": [30, 56], "funki": [30, 56], "audio": [30, 56, 57], "timeseriessplit": 31, "pitfal": 31, "everywher": [31, 34], "consumpt": 31, "analyt": 31, "rental": 31, "station": 31, "subscript": [31, 32], "rent": [31, 38], "citibik": 31, "load_citibik": 31, "starttim": 31, "3h": 31, "intrins": 31, "timestamp": 31, "august": 31, "date_rang": 31, "strftime": 31, "rotat": 31, "linewidth": 31, "weekdai": 31, "train_df_sort": 31, "test_df_sort": 31, "248": [31, 41], "fist": 31, "n_train": 31, "januari": 31, "1438387200": 31, "1438398000": 31, "1438408800": 31, "1438419600": 31, "1438430400": 31, "1438441200": 31, "1438452000": 31, "1438462800": 31, "1438473600": 31, "1438484400": 31, "9781449369880": 31, "eval_on_featur": 31, "sales_data": 31, "y_pred_train": 31, "extrapol": 31, "datetimeindex": 31, "datetime64": 31, "ns": 31, "month_nam": 31, "dayofweek": 31, "day_nam": 31, "saturdai": [31, 38], "sundai": 31, "x_hour": 31, "x_hour_week": 31, "hstack": 31, "x_hour_week_onehot": 31, "02d": 31, "mon": 31, "wed": 31, "fri": 31, "243": [31, 32], "244": [31, 32], "245": [31, 32, 34], "246": [31, 32, 40], "247": [31, 41], "poly_transform": 31, "x_hour_week_onehot_poli": 31, "features_poli": 31, "df_hour_week_ohe_poli": 31, "features_nonzero": 31, "coef_nonzero": 31, "196739": 31, "005809": 31, "437684": 31, "362009": 31, "907595": 31, "085150": 31, "693898": 31, "111220": 31, "757591": 31, "033267": 31, "wednesdai": [31, 38], "midnight": [31, 57], "correl": [31, 42, 51], "autocorrel": 31, "acf": 31, "shift": [31, 58], "rentals_df": 31, "n_rental": 31, "create_lag_df": 31, "rentals_lag5": 31, "x_lag_featur": 31, "x_lag_features_imp": 31, "features_lag": 31, "165145": 31, "049007": 31, "215227": 31, "258891": 31, "373974": 31, "rf": [31, 32], "x_hour_week_onehot_poly_lag": 31, "tscv": 31, "001193": [], "642676": 31, "873182": 31, "000554": [], "000226": [], "828405": 31, "874305": 31, "000911": [], "773851": 31, "901262": 31, "000948": 15, "000269": 44, "696712": 31, "889429": 31, "000825": [], "892733": 31, "863889": 31, "septemb": 31, "rentals_lag5_x": 31, "024291": 31, "004065": 31, "004082": 31, "040984": 31, "045267": 31, "rentals_lag5_i": 31, "rentals_model": 31, "x_test_pr": 31, "predicted_n_rent": 31, "emploi": [31, 36, 59], "jointli": 31, "raintomorrow": 31, "rainin2dai": 31, "31st": 31, "accessori": 31, "loui": 31, "retail_df": 31, "mrtssm448usn": 31, "1992": 31, "7524": 31, "8475": 31, "9401": 31, "9558": 31, "upto": 31, "retail_df_train": 31, "20160101": 31, "retail_df_test": 31, "lag_df": 31, "retail_lag_5": 31, "retail_train_5": 31, "retail_test_5": 31, "19266": 31, "22452": 31, "20694": 31, "19781": 31, "22260": 31, "20485": 31, "20794": 31, "23175": 31, "287": 31, "33590": 31, "288": 31, "15775": 31, "289": 31, "9182": 31, "9103": 31, "10513": 31, "9573": 31, "10254": 31, "retail_train_5_x": 31, "retail_train_5_i": 31, "retail_model": 31, "19032": 31, "21581": 31, "20514": 31, "21774": 31, "20274": 31, "364": 31, "26831": 31, "25904": 31, "25622": 31, "20509": 31, "18113": 31, "39375": 31, "365": 31, "25031": 31, "25214": 31, "367": [31, 41], "26376": 31, "23941": 31, "17896": 31, "21694": 31, "21603": 31, "21847": 31, "21405": 31, "20564": 31, "22154": 31, "26063": 31, "21389": 31, "22320": 31, "30167": 31, "16153": 31, "18096": 31, "20310": 31, "21353": 31, "22826": 31, "21697": 31, "21549": 31, "27206": 31, "21571": 31, "22057": 31, "28953": 31, "16160": 31, "18000": 31, "21596": 31, "22910": 31, "22225": 31, "28327": 31, "20620": 31, "22114": 31, "30279": 31, "21605": 31, "21668": 31, "18313": 31, "18245": 31, "20319": 31, "23290": 31, "22788": 31, "28362": 31, "22219": 31, "21530": 31, "29881": 31, "21617": 31, "21670": 31, "19380": 31, "16157": 31, "18955": 31, "22078": 31, "13107": 31, "11057": 31, "10910": 31, "15429": 31, "13255": 31, "10868": 31, "18311": 31, "21274": 31, "23902": 31, "14813": 31, "17518": 31, "18533": 31, "30146": 31, "29691": 31, "15661": 31, "27638": 31, "19365": 31, "25176": 31, "27021": 31, "28854": 31, "15915": 31, "16358": 31, "20334": 31, "22550": 31, "18116": 31, "17144": 31, "16533": 31, "25037": 31, "17205": 31, "retail_test_5_pr": 31, "predicted_sal": 31, "februari": [31, 38], "retail_train_5_d": 31, "first_day_retail": 31, "days_sinc": 31, "152": [31, 34, 40], "182": [31, 41], "unlimit": 31, "growth": [31, 32], "forev": 31, "9100": 31, "rain_df": 31, "weatherau": 31, "mintemp": 31, "maxtemp": 31, "rainfal": 31, "evapor": 31, "windgustdir": 31, "windgustspe": 31, "winddir9am": 31, "humidity9am": 31, "humidity3pm": 31, "pressure9am": 31, "pressure3pm": 31, "cloud9am": 31, "cloud3pm": 31, "temp9am": 31, "temp3pm": 31, "raintodai": 31, "alburi": 31, "1007": 31, "wnw": 31, "nnw": 31, "1010": 31, "wsw": 31, "1008": 31, "ne": 31, "se": [31, 32], "1012": 31, "1006": 31, "145460": 31, "145459": 31, "143975": 31, "144199": 31, "142199": 31, "82670": 31, "75625": 31, "135134": 31, "135197": 31, "134894": 31, "winddir3pm": 31, "141232": 31, "windspeed9am": 31, "143693": [31, 34], "windspeed3pm": 31, "142398": 31, "142806": 31, "140953": 31, "130395": 31, "130432": 31, "89572": 31, "86102": 31, "141851": 31, "142193": 31, "00000": [31, 38], "3436": 31, "canberra": 31, "9915": 31, "11758": 31, "110319": 31, "110316": 31, "194034": 31, "221348": 31, "360918": 31, "468232": 31, "611178": 31, "035230": 31, "880831": 31, "539116": 31, "64994": 31, "255889": 31, "447461": 31, "509930": 31, "990631": 31, "68339": 31, "398495": 31, "119049": 31, "478060": 31, "193704": 31, "785483": 31, "607062": 31, "029164": 31, "795902": 31, "10653": 31, "037414": 31, "887159": 31, "720357": 31, "488753": 31, "93665": 31, "800000": 31, "980": 31, "50000": 31, "200000": 31, "90000": 31, "400000": 31, "60000": 31, "700000": 31, "145": [31, 36, 40, 41, 51], "1039": 31, "70000": 31, "notna": 31, "mm": 31, "dd": 31, "yyyi": 31, "45am": 31, "45a": 31, "zone": 31, "daylight": 31, "thankfulli": 31, "dates_rain": 31, "to_datetim": 31, "145454": 31, "145455": 31, "145456": 31, "145457": 31, "145458": 31, "timedelta": 31, "total_second": 31, "86400": 31, "is_year_end": 31, "is_leap_year": 31, "uluru": 31, "es": [31, 58], "sse": 31, "45587": 31, "nw": 31, "sw": 31, "45588": 31, "45589": 31, "1009": 31, "45590": 31, "1005": 31, "45591": 31, "6048": 31, "badgeryscreek": 31, "93279": 31, "goldcoast": 31, "nne": 31, "55101": 31, "mountginini": 31, "96319": 31, "townsvil": 31, "52061": 31, "tuggeranong": 31, "96320": 31, "adelaid": 31, "96321": 31, "ssw": 31, "96322": 31, "1027": 31, "96323": 31, "1028": 31, "1025": 31, "96325": 31, "groupbi": 31, "diff": 31, "3016": 31, "albani": 31, "2993": 31, "20150630": 31, "107502": 31, "34691": 31, "24397122221206388": 31, "sydnei": 31, "144733": 31, "107050": 31, "107292": 31, "106424": 31, "66221": 31, "62320": 31, "100103": 31, "100146": 31, "99515": 31, "105314": 31, "106322": 31, "106319": 31, "106112": 31, "106180": 31, "97217": 31, "97253": 31, "68523": 31, "67501": 31, "106705": 31, "106816": 31, "preprocess_featur": 31, "all_featur": 31, "winddir3pm_ss": 31, "winddir3pm_ssw": 31, "winddir3pm_sw": 31, "winddir3pm_w": 31, "winddir3pm_wnw": 31, "winddir3pm_wsw": 31, "winddir3pm_miss": 31, "raintoday_no": 31, "raintoday_y": 31, "raintoday_miss": 31, "204302": 31, "027112": 31, "205323": 31, "140641": 31, "160729": 31, "298612": 31, "666166": 31, "599894": 31, "115428": 31, "433514": 31, "741037": 31, "287031": 31, "275008": 31, "125617": 31, "373275": 31, "314929": 31, "288002": 31, "125523": 31, "372706": 31, "450132": 31, "554180": 31, "826513": 31, "632786": 31, "045481": 31, "457435": 31, "701128": 31, "216596": 31, "341712": 31, "099749": 31, "261953": 31, "724539": 31, "850283": 31, "315134": 31, "158867": 31, "071330": 31, "789657": 31, "146656": 31, "698167": 31, "899969": 31, "451": 32, "sample_weight": [], "449": 32, "450": [], "705": [], "classifiermixin": [], "680": 48, "681": [], "682": [], "702": [], "703": [], "_param_valid": [], "validate_param": [], "decor": 48, "config_context": [], "skip_parameter_valid": [], "prefer_skip_nested_valid": [], "global_skip_valid": [], "invalidparametererror": [], "218": [40, 41], "__qualname__": [], "220": [], "_classif": [], "y_true": [], "154": 40, "multilabel": [], "y_type": [], "_check_target": [], "check_consistent_length": [], "222": [], "type_tru": [], "type_of_target": [], "input_nam": [], "type_pr": [], "409": [], "408": [], "411": [], "score_lr_print_coeff": 31, "train_df_ord": 31, "y_train_ord": 31, "first_dai": 31, "winter": 31, "get_season": 31, "winter_month": 31, "june": [31, 38], "juli": 31, "autumn_month": 31, "march": 31, "april": 31, "summer_month": 31, "spring_month": 31, "autumn": 31, "coeff_df": 31, "season_fal": 31, "season_summ": 31, "season_wint": 31, "season_autumn": 31, "rainfall_lag1": 31, "create_lag_featur": 31, "orig_featur": 31, "new_df": 31, "new_feature_nam": 31, "s_lag": 31, "df_locat": 31, "2295": 31, "rain_df_modifi": 31, "rainfall_lag2": 31, "rainfall_lag3": 31, "humidity3pm_lag1": 31, "arima": 31, "statsmodel": [31, 32], "tsa": 31, "arima_model": 31, "took": 31, "recurr": 31, "rnn": 31, "540": 31, "lstm": 31, "consecut": 31, "prophet": 31, "sktime": 31, "tslearn": 31, "expenditur": 31, "functiontransform": [32, 37], "max_row": 32, "telecom": 32, "retent": 32, "wa_fn": 32, "usec_": 32, "telco": 32, "customerid": 32, "seniorcitizen": 32, "tenur": 32, "phoneservic": 32, "multiplelin": 32, "internetservic": 32, "onlinesecur": 32, "deviceprotect": 32, "techsupport": 32, "streamingtv": 32, "streamingmovi": 32, "paperlessbil": 32, "paymentmethod": 32, "monthlycharg": 32, "totalcharg": 32, "6464": 32, "4726": 32, "dlwqn": 32, "dsl": 32, "5707": 32, "4537": 32, "dktal": 32, "electron": 32, "3442": 32, "0468": 32, "yrpxn": 32, "fiber": 32, "2807": 32, "3932": 32, "necvq": 32, "6124": 32, "7153": 32, "chrbv": 32, "mail": 32, "3274": [32, 54], "5282": 32, "3912": 32, "onlinebackup": 32, "907": 32, "4430": 32, "hmmm": 32, "7043": 32, "7042": 32, "6324": 32, "6317": 32, "6318": 32, "6319": 32, "6323": 32, "new_data": 32, "_mgr": 32, "6325": 32, "_constructor": 32, "__finalize__": 32, "6327": 32, "gh": 32, "33113": 32, "baseblockmanag": 32, "448": 32, "using_copy_on_writ": 32, "452": 32, "453": 32, "454": 32, "455": 32, "using_cow": 32, "352": 32, "align_kei": 32, "351": 32, "getattr": [28, 32, 58, 59], "result_block": 32, "extend_block": 32, "355": [32, 41], "from_block": 32, "491": 32, "coerc": 32, "507": 32, "509": [32, 51], "new_valu": 32, "astype_array_saf": 32, "maybe_coerce_valu": 32, "515": 32, "ref": 32, "242": 32, "239": 32, "numpy_dtyp": 32, "241": 32, "astype_arrai": 32, "_astype_nansaf": 32, "189": [32, 37], "issubclass": 32, "arr": [28, 32], "skipna": 32, "is_object_dtyp": 32, "argh": 32, "5274": 32, "multiplelines_no": [], "phone": [], "multiplelines_y": [], "partner_no": 32, "partner_y": [], "deviceprotection_no": 32, "paymentmethod_mail": [], "onlinesecurity_no": 32, "onlinesecurity_y": 32, "paperlessbilling_no": [], "paperlessbilling_y": [], "techsupport_no": 32, "techsupport_y": 32, "707712": 32, "185175": 32, "513678": 32, "248999": 32, "641538": 32, "979562": 32, "148349": 32, "133562": 32, "226789": 32, "458524": 32, "950696": 32, "993065": 32, "183179": 32, "433814": 32, "741": 32, "047": [], "3516": 32, "733": 32, "333": [34, 37, 41], "021": [], "791": 48, "3524": [], "388": [], "731": [], "639": [], "promot": 32, "unemploi": 32, "surgeri": 32, "tempor": 32, "occurr": [32, 33], "train_df_churn": 32, "test_df_churn": 32, "8098": 32, "llazx": 32, "5540": 32, "3803": 32, "kmqfw": 32, "4084": 32, "2777": 32, "phdei": 32, "3272": 32, "6772": 32, "ksatr": 32, "preprocessing_notenur": 32, "tenure_lm": 32, "tenure_predict": 32, "062449": 32, "198645": 32, "859455": 32, "865562": 32, "154842": 32, "757932": 32, "932070": 32, "720893": 32, "818041": 32, "263541": 32, "underestim": 32, "subscrib": 32, "400047": 32, "220392": 32, "332746": 32, "825470": 32, "885968": 32, "075453": 32, "731498": 32, "407862": 32, "425365": 32, "854500": 32, "shorter": 32, "Its": 32, "redefin": 32, "preprocessing_fin": 32, "train_df_surv": 32, "test_df_surv": 32, "paymentmethod_electron": 32, "kaplanmeierfitt": 32, "kmf": 32, "survival_function_": 32, "6391518364256": 32, "854744525547446": 32, "816717791411044": 32, "histogram": 32, "hadn": [32, 55], "cite": 32, "57000": 32, "subgroup": 32, "senior": 32, "event_observ": 32, "citizen": 32, "ylim": 32, "assumpt": 32, "cph": 32, "coxphfitt": 32, "duration_col": 32, "event_col": 32, "fyi": 32, "elast": [32, 51], "cph_param": 32, "params_": 32, "contract_month": 32, "812875": 32, "311151": 32, "onlinebackup_no": 32, "298561": 32, "280801": 32, "244814": 32, "onlinebackup_y": 32, "282600": 32, "paymentmethod_credit": 32, "302801": 32, "330346": 32, "contract_on": 32, "351821": 32, "contract_two": 32, "776427": 32, "baseline_hazard_": 32, "baselin": [32, 36, 59], "cmp": 32, "log2": 32, "019556": 32, "980634": 32, "057254": 32, "131773": 32, "092660": 32, "876540": 32, "097088": 32, "341571": 32, "732674": 32, "448757": 32, "003185": 32, "996820": 32, "040129": 32, "081837": 32, "075467": 32, "921422": 32, "078387": 32, "079377": 32, "936733": 32, "094290": 32, "162904": [], "176924": [], "066166": [], "033222": [], "292587": [], "033780": [], "339889": [], "462060": [], "013814": [], "177709": [], "014650": [], "014758": [], "127087": [], "234436": [], "263736": [], "791017": [], "301784": [], "115276": [], "908227": [], "138876": [], "171899": [], "842064": [], "066810": [], "302844": [], "040954": [], "738715": [], "959873": [], "572962": [], "010083": [], "631899": [], "075063": [], "927685": [], "068817": [], "209943": [], "059816": [], "810631": [], "061641": [], "090765": [], "275376": [], "860523": [], "077953": [], "941938": [], "233608": [], "212303": [], "236522": [], "069653": [], "075786": [], "348820": [], "078732": [], "417394": [], "048022": [], "002304": [], "761936": [], "057267": 32, "944342": 32, "100970": 32, "255165": 32, "140631": 32, "774789": 32, "150999": 32, "567169": 32, "570599": 32, "809450": 32, "212133": [], "808857": [], "072954": [], "355121": [], "069145": [], "701089": [], "933191": [], "907752": [], "003640": [], "101699": [], "117063": 32, "internetservice_fib": 32, "522513": 32, "349206": 32, "311261": 32, "253954": 32, "172977": 32, "242936": 32, "260652": 32, "internetservice_dsl": 32, "416242": 32, "019200": 32, "diagnost": 32, "former": 32, "plot_partial_effects_on_outcom": 32, "10_000": [32, 38], "monthli": 32, "deviceprotection_y": 32, "941": 32, "154900": 32, "383246": 32, "5515": 32, "514920": 32, "3684": 32, "351852": 32, "7017": 32, "471584": 32, "predict_expect": 32, "206724": 32, "023086": 32, "608565": 32, "565062": 32, "890933": 32, "predict_survival_funct": 32, "outlook": [32, 38], "train_df_surv_not_churn": 32, "conditional_aft": 32, "996788": 32, "991966": 32, "989443": 32, "982570": 32, "429634": 32, "xlim": 32, "lifetim": 32, "prediciton": 32, "forward": [32, 34], "likelihood": [32, 52], "8641864337292489": 32, "7277854625841886": 32, "concord": 32, "concordance_index_": 32, "8625888648969532": 32, "scoring_method": 32, "concordance_index": 32, "8546143543902771": 32, "anti": 32, "log_likelihood_ratio_test": 32, "check_assumpt": 32, "df_train_surv": 32, "pysurviv": 32, "di": 32, "incorrect": [32, 58, 59], "encompass": 32, "km": [32, 40, 41, 52], "zachari": 32, "40b5a809b05a": 32, "2d454e5fd9a5": 32, "e737c5242822": 32, "504fde4fcf8": 32, "readthedoc": 32, "20analysi": 32, "20with": 32, "20lifelin": 32, "20intro": 32, "trigram": 33, "mother": [33, 38], "asap": 33, "sender": 33, "recipi": 33, "thread": 33, "related": 33, "w_i": 33, "d_j": 33, "tf_": 33, "df_i": 33, "contigu": 33, "bigram": 33, "nameerror": 33, "googleblog": 33, "toyou": 33, "enorm": 33, "024": [33, 50], "267": [33, 41], "663": 33, "588": [33, 43, 46], "women": [33, 38], "syntact": 33, "____": 33, "proper_noun": 33, "compel": 33, "law": [33, 34, 37], "pronoun": 33, "stopword": 34, "5486e": 34, "2584e": 34, "2793e": 34, "8801e": 34, "0700e": 34, "3299e": 34, "6833e": 34, "5131e": 34, "7041e": 34, "7749e": 34, "5029e": 34, "7764e": 34, "7324e": 34, "6241e": 34, "6455e": 34, "0840e": 34, "5715e": 34, "2903e": 34, "3571e": 34, "8793e": 34, "7635e": 34, "9372e": 34, "9900e": 34, "8284e": 34, "4018e": 34, "1673e": 34, "9244e": 34, "0629e": 34, "3378e": 34, "3864e": 34, "5646e": 34, "7198e": 34, "4607e": 34, "4614e": 34, "3352e": 34, "8177e": 34, "7254e": 34, "9624e": 34, "1314e": 34, "5295e": 34, "8629e": 34, "7562e": 34, "1799e": 34, "5554e": 34, "4230e": 34, "7167e": 34, "1793e": 34, "0961e": 34, "3121e": 34, "2322e": 34, "4375e": 34, "2099e": 34, "2814e": 34, "9051e": 34, "0593e": 34, "1895e": 34, "1495e": 34, "0444e": 34, "2073e": 34, "8856e": 34, "6554e": 34, "1932e": 34, "6678e": 34, "5454e": 34, "2078e": 34, "5709e": 34, "1324e": 34, "0163e": 34, "4567e": 34, "4244e": 34, "9425e": 34, "3090e": 34, "7428e": 34, "1676e": 34, "8830e": 34, "4857e": 34, "2018e": 34, "3073e": 34, "2553e": 34, "5853e": 34, "8452e": 34, "2523e": 34, "7129e": 34, "6348e": 34, "3506e": 34, "7429e": 34, "0469e": 34, "9319e": 34, "6099e": 34, "8484e": 34, "3795e": 34, "0948e": 34, "1545e": 34, "9681e": 34, "0455e": 34, "4820e": 34, "1131e": 34, "1827e": 34, "7559e": 34, "4502e": 34, "8897e": 34, "7430e": 34, "5742e": 34, "7160e": 34, "4764e": 34, "5828e": 34, "3866e": 34, "3150e": 34, "3863e": 34, "1536e": 34, "7656e": 34, "0245e": 34, "6807e": 34, "2850e": 34, "6425e": 34, "7782e": 34, "2221e": 34, "1392e": 34, "3269e": 34, "1582e": 34, "6331e": 34, "8109e": 34, "0985e": 34, "2942e": 34, "6438e": 34, "9306e": 34, "0776e": 34, "8022e": 34, "5356e": 34, "6405e": 34, "1761e": 34, "4960e": 34, "2266e": 34, "5264e": 34, "0226e": 34, "5735e": 34, "5090e": 34, "0587e": 34, "5471e": 34, "3910e": 34, "6574e": 34, "6376e": 34, "4926e": 34, "8819e": 34, "9256e": 34, "1512e": 34, "2091e": 34, "6460e": 34, "6747e": 34, "7082e": 34, "5789e": 34, "8982e": 34, "2842e": 34, "1286e": 34, "6392e": 34, "2199e": 34, "5850e": 34, "3628e": 34, "3231e": 34, "2350e": 34, "5602e": 34, "7751e": 34, "0511e": 34, "8997e": 34, "1051e": 34, "3014e": 34, "2024e": 34, "2354e": 34, "1913e": 34, "1978e": 34, "5625e": 34, "5975e": 34, "5911e": 34, "2413e": 34, "8988e": 34, "0542e": 34, "8894e": 34, "4278e": 34, "3625e": 34, "0979e": 34, "3275e": 34, "0514e": 34, "4583e": 34, "3326e": 34, "3684e": 34, "8493e": 34, "2075e": 34, "2708e": 34, "8701e": 34, "0855e": 34, "5334e": 34, "3050e": 34, "2246e": 34, "6824e": 34, "8289e": 34, "8230e": 34, "2047e": 34, "4848e": 34, "3042e": 34, "0358e": 34, "7074e": 34, "6816e": 34, "1017e": 34, "2943e": 34, "4274e": 34, "6128e": 34, "3127e": 34, "0264e": 34, "2928e": 34, "7298e": 34, "1075e": 34, "0250e": 34, "6928e": 34, "0074e": 34, "5464e": 34, "6378e": 34, "5970e": 34, "2128e": 34, "7607e": 34, "8260e": 34, "5962e": 34, "4320e": 34, "8332e": 34, "1438e": 34, "4723e": 34, "4913e": 34, "2585e": 34, "6819e": 34, "3947e": 34, "7173e": 34, "4134e": 34, "6530e": 34, "7728e": 34, "9815e": 34, "6895e": 34, "1146e": 34, "2025e": 34, "4129e": 34, "9695e": 34, "7711e": 34, "2278e": 34, "3727e": 34, "9276e": 34, "5440e": 34, "7169e": 34, "5736e": 34, "4620e": 34, "1244e": 34, "4633e": 34, "2685e": 34, "2459e": 34, "0362e": 34, "8331e": 34, "3194e": 34, "4082e": 34, "0132e": 34, "0541e": 34, "2632e": 34, "7800e": 34, "1647e": 34, "0785e": 34, "2112e": 34, "3496e": 34, "0599e": 34, "2607e": 34, "0194e": 34, "8586e": 34, "0107e": 34, "5924e": 34, "1770e": 34, "3246e": 34, "2268e": 34, "3978e": 34, "1841e": 34, "6548e": 34, "3903e": 34, "3376e": 34, "7083e": 34, "8377e": 34, "3031e": 34, "3292e": 34, "1567e": 34, "3419e": 34, "3412e": 34, "5887e": 34, "4468e": 34, "4031e": 34, "1785e": 34, "1524e": 34, "1699e": 34, "8752e": 34, "0660e": 34, "1852e": 34, "1228e": 34, "0012e": 34, "2234e": 34, "7454e": 34, "1885e": 34, "010289": 34, "48081": 34, "5738": 34, "1697": 34, "0116": 34, "4216": 34, "7343": 34, "3025": 34, "459937": [34, 55], "9785299": [34, 55], "0319": [34, 55], "5123": [34, 55], "4806334": [34, 55], "73183": [34, 55], "1724668": [34, 55], "5227966": [34, 55], "05656664": [34, 55], "doc1": 34, "doc2": 34, "doc3": 34, "bread": 34, "butter": 34, "chees": 34, "699868820717508": 34, "5098293421139041": 34, "aa": 34, "airline_senti": 34, "_unit_id": 34, "_golden": 34, "_unit_st": 34, "_trusted_judg": 34, "_last_judgment_at": 34, "negativereason": 34, "airline_sentiment_gold": 34, "negativereason_gold": 34, "retweet_count": 34, "tweet_coord": 34, "tweet_creat": 34, "tweet_id": 34, "tweet_loc": 34, "user_timezon": 34, "681455792": 34, "6667": 34, "southwest": 34, "mrssuperdimmock": 34, "southwestair": 34, "686040e": 34, "lake": 34, "arrowhead": 34, "pacif": 34, "8918": 34, "681459957": 34, "delta": 34, "jetblu": 34, "okayyyi": 34, "iron": 34, "677500e": 34, "11688": 34, "681462990": 34, "6727": 34, "airwai": 34, "dropmeanywher": 34, "usairwai": 34, "678190e": 34, "arizona": 34, "681448905": 34, "virgin": 34, "jsamaudio": 34, "virginamerica": 34, "681440e": 34, "franci": 34, "calif": 34, "4135": 34, "681454122": 34, "3544": 34, "cajunsql": 34, "678110e": 34, "baton": 34, "roug": 34, "la": 34, "11712": 34, "13064": 34, "x_train_embed": 34, "x_test_embed": 34, "1618": 34, "as_tupl": 34, "component_cfg": 34, "n_process": 34, "1616": 34, "1617": 34, "1685": 34, "_pipe": 34, "proc": 34, "default_error_handl": 34, "pipecal": 34, "1682": 34, "1683": 34, "1684": 34, "hasattr": 34, "1686": 34, "1688": [34, 51], "transition_pars": 34, "pyx": 34, "251": [], "264": [], "greedy_pars": [], "thinc": 34, "outt": 34, "331": [34, 41], "is_train": 34, "332": [34, 41], "tupl": [34, 40, 41], "_func": 34, "tb_framework": [], "step_model": [], "parserstepmodel": [], "unseen_class": [], "attr": [], "has_upp": [], "finish_step": [], "parser_model": [], "250": [], "310": [34, 40, 41, 48], "callabl": [34, 40, 41], "308": [34, 40, 41, 48], "gradient": [34, 42], "backpropag": 34, "inc_layer_grad": 34, "skip": 34, "with_arrai": 34, "xseq": 34, "seqt": 34, "rag": [], "_ragged_forward": [], "_padded_forward": [], "xr": [], "arrayxd": [], "get_dx": [], "dataxd": [], "backprop": 34, "dyr": [], "maxout": 34, "get_param": [34, 36, 58], "reshape2f": 34, "nO": 34, "ni": 34, "gemm": 34, "trans2": 34, "reshape1f": 34, "reshape3f": 34, "295": [34, 41], "298": [34, 41], "259942": 34, "856640": 34, "677500": 34, "875390": 34, "459240": 34, "304300": 34, "273020": 34, "008458": 34, "818360": 34, "002320": 34, "555840": 34, "274170": 34, "716420": 34, "296220": 34, "403746": 34, "430054": 34, "107044": 34, "224080": 34, "903256": 34, "295254": 34, "563826": 34, "869816": 34, "462877": 34, "057751": 34, "892089": 34, "566698": 34, "283121": 34, "594112": 34, "578107": 34, "037976": 34, "270313": 34, "948990": 34, "653996": 34, "631425": 34, "850329": 34, "432467": 34, "979464": 34, "015146": 34, "604236": 34, "188137": 34, "707503": 34, "908782": 34, "248327": 34, "667797": 34, "590958": 34, "246804": 34, "095754": 34, "953429": 34, "524224": 34, "593270": 34, "948402": 34, "760466": 34, "369070": 34, "204359": 34, "357214": 34, "389199": 34, "205336": 34, "100318": 34, "950879": 34, "399726": 34, "977736": 34, "676425": 34, "224362": 34, "011286": 34, "981441": 34, "132660": 34, "988456": 34, "997113": 34, "553975": 34, "539687": 34, "229152": 34, "099266": 34, "652113": 34, "036738": 34, "315839": 34, "429018": 34, "557437": 34, "333650": 34, "281916": 34, "587222": 34, "725984": 34, "178514": 34, "163662": 34, "597000": 34, "621603": 34, "166608": 34, "256955": 34, "940082": 34, "530063": 34, "816050": 34, "398607": 34, "219403": 34, "925384": 34, "751906": 34, "969212": 34, "381326": 34, "146303": 34, "195811": 34, "914482": 34, "297692": 34, "lgr": 34, "essenti": 34, "sentence_transform": 34, "sentencetransform": 34, "embedd": 34, "paraphras": 34, "distilroberta": 34, "emb_sent": 34, "emb_train": 34, "emb_train_df": 34, "759": 34, "760": 34, "761": 34, "764": 34, "766": 34, "120494": 34, "250263": 34, "022795": 34, "116368": 34, "078650": 34, "037357": 34, "251341": 34, "321429": 34, "143984": 34, "123486": 34, "199150": 34, "150143": 34, "167078": 34, "407671": 34, "066161": 34, "049514": 34, "019384": 34, "357602": 34, "125996": 34, "381074": 34, "182954": 34, "118282": 34, "066341": 34, "136098": 34, "094947": 34, "121303": 34, "069233": 34, "097500": 34, "025740": 34, "367981": 34, "113612": 34, "114662": 34, "049926": 34, "256736": 34, "118687": 34, "190720": 34, "011985": 34, "141883": 34, "230142": 34, "024899": 34, "032988": 34, "630251": 34, "079516": 34, "148981": 34, "194708": 34, "226263": 34, "043630": 34, "217398": 34, "069644": 34, "676791": 34, "244484": 34, "051042": 34, "064099": 34, "146945": 34, "090878": 34, "090060": 34, "077211": 34, "209226": 34, "308773": 34, "119258": 34, "172168": 34, "098697": 34, "319858": 34, "415475": 34, "248359": 34, "025923": 34, "385350": 34, "066414": 34, "334289": 34, "128482": 34, "232446": 34, "077805": 34, "181329": 34, "123244": 34, "660457": 34, "048714": 34, "204774": 34, "163497": 34, "094240": 34, "360193": 34, "213747": 34, "363690": 34, "275521": 34, "134936": 34, "276319": 34, "009336": 34, "021523": 34, "258992": 34, "474885": 34, "242125": 34, "294533": 34, "279013": 34, "037831": 34, "089761": 34, "548748": 34, "049258": 34, "154525": 34, "141268": 34, "204408": 34, "145289": 34, "064201": 34, "213571": 34, "140225": 34, "338556": 34, "148578": 34, "224515": 34, "042963": 34, "075930": 34, "161948": 34, "040582": 34, "003971": 34, "152549": 34, "582907": 34, "126526": 34, "060502": 34, "111495": 34, "097493": 34, "199321": 34, "12252": 34, "108408": 34, "438293": 34, "216812": 34, "349289": 34, "422689": 34, "377760": 34, "045198": 34, "034095": 34, "427570": 34, "328272": 34, "257849": 34, "032363": 34, "275004": 34, "080452": 34, "078975": 34, "049972": 34, "009761": 34, "314754": 34, "020773": 34, "268777": 34, "068411": 34, "017591": 34, "236154": 34, "221446": 34, "103568": 34, "055510": 34, "062910": 34, "067424": 34, "003504": 34, "157757": 34, "007711": 34, "323297": 34, "334637": 34, "367041": 34, "068821": 34, "063667": 34, "329990": 34, "232330": 34, "184768": 34, "11646": 34, "091488": 34, "155708": 34, "032391": 34, "018314": 34, "524997": 34, "563933": 34, "080985": 34, "097982": 34, "535285": 34, "377194": 34, "428013": 34, "144572": 34, "045297": 34, "107935": 34, "135673": 34, "290019": 34, "137200": 34, "503395": 34, "042567": 34, "282592": 34, "185626": 34, "092904": 34, "097085": 34, "174650": 34, "193584": 34, "047294": 34, "098216": 34, "332670": 34, "163098": 34, "135101": 34, "078530": 34, "030177": 34, "391598": 34, "073520": 34, "454037": 34, "244358": 34, "790682": 34, "607010": 34, "255162": 34, "029779": 34, "emb_test": 34, "emb_test_df": 34, "002864": 34, "217326": 34, "124349": 34, "082548": 34, "709688": 34, "582441": 34, "257897": 34, "169356": 34, "248880": 34, "266686": 34, "501767": 34, "095387": 34, "340173": 34, "087452": 34, "368359": 34, "276195": 34, "238676": 34, "219546": 34, "066603": 34, "256149": 34, "10951": 34, "141048": 34, "137934": 34, "131319": 34, "194773": 34, "868204": 34, "078791": 34, "131656": 34, "036244": 34, "215749": 34, "291946": 34, "056256": 34, "056041": 34, "147341": 34, "189665": 34, "357366": 34, "061799": 34, "161923": 34, "278955": 34, "173722": 34, "065324": 34, "5382": 34, "252943": 34, "527507": 34, "065608": 34, "013467": 34, "207989": 34, "003881": 34, "066281": 34, "253166": 34, "021039": 34, "290957": 34, "180686": 34, "042605": 34, "173794": 34, "079128": 34, "169160": 34, "001316": 34, "142593": 34, "070816": 34, "208826": 34, "400737": 34, "3954": 34, "054319": 34, "096738": 34, "113037": 34, "032039": 34, "493064": 34, "641102": 34, "078760": 34, "402187": 34, "189743": 34, "089538": 34, "123879": 34, "285019": 34, "297771": 34, "557171": 34, "076169": 34, "029826": 34, "076095": 34, "225454": 34, "002135": 34, "235430": 34, "11193": 34, "065858": 34, "223270": 34, "507333": 34, "266193": 34, "104696": 34, "219555": 34, "146247": 34, "315649": 34, "126193": 34, "435461": 34, "163994": 34, "207813": 34, "001871": 34, "109391": 34, "166778": 34, "249199": 34, "525419": 34, "413066": 34, "119939": 34, "064297": 34, "5861": 34, "077512": 34, "322276": 34, "026697": 34, "111393": 34, "174207": 34, "235201": 34, "053888": 34, "244942": 34, "181625": 34, "226870": 34, "149843": 34, "311338": 34, "045975": 34, "572319": 34, "068256": 34, "217745": 34, "056509": 34, "355174": 34, "028610": 34, "090676": 34, "3627": 34, "173311": 34, "023604": 34, "190388": 34, "136543": 34, "360269": 34, "444686": 34, "056311": 34, "291941": 34, "399719": 34, "167930": 34, "042209": 34, "161905": 34, "040535": 34, "050515": 34, "252020": 34, "133980": 34, "155001": 34, "154482": 34, "060201": 34, "126556": 34, "12559": 34, "124635": 34, "101799": 34, "129061": 34, "636907": 34, "681090": 34, "399300": 34, "078321": 34, "221824": 34, "277218": 34, "178589": 34, "022364": 34, "109275": 34, "073540": 34, "153336": 34, "123705": 34, "238896": 34, "296446": 34, "116798": 34, "115076": 34, "345925": 34, "8123": 34, "063508": 34, "332506": 34, "119605": 34, "001363": 34, "161802": 34, "082302": 34, "025883": 34, "048027": 34, "126974": 34, "159802": 34, "002221": 34, "093885": 34, "430285": 34, "088561": 34, "321488": 34, "447437": 34, "292395": 34, "188566": 34, "272767": 34, "126173": 34, "015537": 34, "425568": 34, "350672": 34, "113120": 34, "128615": 34, "098112": 34, "222081": 34, "101654": 34, "224073": 34, "341074": 34, "100983": 34, "008055": 34, "202025": 34, "029846": 34, "019182": 34, "107064": 34, "002301": 34, "038213": 34, "139270": 34, "007586": 34, "2928": 34, "num_top": 34, "intelligen": [34, 55], "sl": [34, 55], "mach": [34, 55], "cour": [34, 55], "commonwealth": [34, 55], "jurisdict": [34, 55], "droit": [34, 55], "supr\u00eam": [34, 55], "const": [34, 55], "skate": [34, 55], "token2id": 34, "0070087705": 34, "0134610993": 34, "1830": 34, "3970": 34, "yale": 34, "3971": 34, "3972": 34, "youth": 34, "3973": 34, "zhenskaya": 34, "3974": 34, "zonal": 34, "3975": 34, "token_id": 34, "doc_term_matrix": 34, "151": 34, "196": 34, "ldamodel": 34, "id2word": 34, "num_word": 34, "9998566": 34, "pyldavi": 34, "gensim_model": 34, "gensimvi": 34, "vi": 34, "sort_top": 34, "counti": 35, "161300e": 35, "370842": 35, "114757": 35, "2079": 35, "899736": 35, "510697e": 35, "494309": 35, "007542": 35, "234303": 35, "409430": 35, "656873": 35, "390691": 35, "509045": 35, "005136": 35, "402258": 35, "560053": 35, "213896": 35, "1986": 35, "552492": 35, "12768": 35, "455652": 35, "930062": 35, "770163": 35, "440897": 35, "142051e": 35, "539989": 35, "086517": 35, "766318": 35, "650743": 35, "175459": 35, "828": 35, "090978": 35, "442": 35, "575043": 35, "373411": 35, "401": [35, 43, 46], "679240": 35, "138564": 35, "140828": 35, "685": 35, "391304": 35, "27304": 35, "179631": 35, "200000e": 35, "1900": 35, "155900": 35, "519000": 35, "651": 35, "1427": 35, "040000e": 35, "471000": 35, "328000": 35, "1490": 35, "5100": 35, "1910": 35, "618000e": 35, "1975": 35, "571800": 35, "230000": 35, "2550": 35, "068800e": 35, "560": 35, "678000": 35, "125000": 35, "2360": 35, "10083": 35, "13540": 35, "651359e": 35, "9410": 35, "4820": 35, "777600": 35, "315000": 35, "6210": 35, "871200": 35, "21450": 35, "20699": 35, "2003": [35, 51], "2005": 35, "1948": 35, "1944": 35, "540088": 35, "14176653": 35, "dt": [35, 59], "9991338290544213": 35, "get_depth": [35, 58], "9994394006711425": 35, "719915905190645": 35, "decisiontreeregressordecisiontreeregressor": 35, "3209427041566191": 35, "31767136668453344": 35, "9108334653214172": 35, "7728396574320712": 35, "x_tr": 35, "y_tr": 35, "tr_score": 35, "valid_scor": 35, "results_single_valid_df": 35, "319559": 35, "326616": 35, "603739": 35, "555180": 35, "754938": 35, "677567": 35, "833913": 35, "737285": 35, "890456": 35, "763480": 35, "931896": 35, "790521": 35, "963024": 35, "769030": 35, "981643": 35, "752728": 35, "991810": 35, "735637": 35, "996424": 35, "745925": 35, "998370": 35, "734048": 35, "999213": 35, "741060": 35, "999480": 35, "722873": 35, "999544": 35, "723951": 35, "999558": 35, "734986": 35, "999562": 35, "724068": 35, "999567": 35, "724410": 35, "argmax": [35, 36, 38], "test_model": 35, "7784948928666875": 35, "cv_train_scor": 35, "cv_valid_scor": 35, "321050": 35, "322465": 35, "603243": 35, "559284": 35, "752169": 35, "688484": 35, "835876": 35, "758259": 35, "894960": 35, "768184": 35, "938201": 35, "772185": 35, "966812": 35, "760966": 35, "983340": 35, "754620": 35, "992220": 35, "730025": 35, "996487": 35, "722803": 35, "998440": 35, "726659": 35, "999178": 35, "730704": 35, "999438": 35, "711356": 35, "999518": 35, "721917": 35, "999539": 35, "729374": 35, "999545": 35, "740319": 35, "999546": 35, "706489": 35, "dt_final": 35, "9308647034083802": 35, "00080741": 35, "00327551": 35, "25123925": 35, "01808825": 35, "00079645": 35, "03213916": 35, "01190633": 35, "00106308": 35, "36400802": 35, "02313684": 35, "00295235": 35, "01209545": 35, "00064647": 35, "17216105": 35, "06835056": 35, "02416048": 35, "01317334": 35, "feature_names_in_": 35, "feature_import": 35, "364008": 35, "251239": 35, "172161": 35, "068351": 35, "032139": 35, "024160": 35, "023137": 35, "018088": 35, "013173": 35, "012095": 35, "011906": 35, "003276": 35, "002952": 35, "001063": 35, "000807": 35, "000796": 35, "set_se": [36, 40, 41], "manual_se": [36, 40, 41], "proce": 36, "read_img_dataset": [36, 40, 41], "plot_sample_img": [36, 40, 41], "train_dir": 36, "file_nam": [36, 40, 41], "image_fil": [36, 40, 41], "n_imag": [36, 40, 41], "x_anim_train": 36, "valid_dir": 36, "x_anim_valid": 36, "feed": 36, "desenet": 36, "accomplish": 36, "000236": 36, "004594": 36, "001687": 36, "002321": 36, "161429": 36, "816200": 36, "000812": 36, "003663": 36, "259521": 36, "000420": 36, "874960": 36, "427516": 36, "242741": 36, "026616": 36, "210286": 36, "974181": 36, "898244": 36, "904565": 36, "067099": 36, "182383": 36, "000128": 36, "001419": 36, "002848": 36, "000313": 36, "066512": 36, "442917": 36, "000423": 36, "002802": 36, "056599": 36, "000839": 36, "805414": 36, "029396": 36, "049097": 36, "319482": 36, "086078": 36, "516787": 36, "864291": 36, "109578": 36, "384528": 36, "046114": 36, "006070": 36, "003593": 36, "002643": 36, "098787": 36, "091632": 36, "000441": 36, "003044": 36, "365898": 36, "259086": 36, "239082": 36, "084684": 36, "902341": 36, "206019": 36, "027080": 36, "259026": 36, "334765": 36, "428280": 36, "414406": 36, "000248": 36, "002965": 36, "002921": [19, 36], "000428": 36, "075668": 36, "331588": 36, "000520": 36, "002987": 36, "245635": 36, "485191": 36, "157572": 36, "215167": 36, "478514": 36, "014989": 36, "526782": 36, "642071": 36, "119190": 36, "498164": 36, "365925": 36, "003463": 36, "001230": 36, "000890": 36, "076018": 36, "726441": 36, "000685": 36, "194914": 36, "000281": [36, 44], "449264": 36, "176027": 36, "578569": 36, "152691": 36, "632296": 36, "519129": 36, "781977": 36, "974532": 36, "302044": 36, "614872": 36, "000270": 36, "006250": 36, "002418": 36, "180926": 36, "199412": 36, "000480": 36, "002477": 36, "232075": 36, "692130": 36, "727992": 36, "119121": 36, "040561": 36, "431104": 36, "219714": 36, "945967": 36, "758030": 36, "921435": 36, "544079": 36, "000316": 36, "006208": 36, "003540": 36, "004469": 36, "200458": 36, "398915": 36, "000475": 36, "004852": 36, "196963": 36, "000329": 36, "620726": 36, "681430": 36, "857458": 36, "337626": 36, "583973": 36, "015639": 36, "373318": 36, "286326": 36, "610142": 36, "533027": 36, "000432": 36, "001375": 36, "003088": 36, "003877": 36, "154883": 36, "298043": 36, "000934": 36, "001566": 36, "265483": 36, "000540": 36, "218867": 36, "324762": 36, "039739": 36, "903425": 36, "145186": 36, "221760": 36, "000561": 36, "298437": 36, "578452": 36, "468994": 36, "008286": 36, "001882": 36, "001109": 36, "140371": 36, "856722": 36, "000387": 36, "003272": 36, "202247": 36, "000310": 36, "303694": 36, "546152": 36, "726269": 36, "495523": 36, "592505": 36, "539258": 36, "308236": 36, "090579": 36, "543677": 36, "000163": 36, "003210": 36, "003910": 36, "159751": 36, "295193": 36, "000460": 36, "004461": 36, "401729": 36, "916349": 36, "980962": 36, "025460": 36, "526444": 36, "003038": 36, "068427": 36, "211725": 36, "600288": 36, "032000": 36, "005378": [], "000951": [], "000180": [], "000211": 19, "000157": [], "000202": 36, "000153": [], "000935": [], "100801": [], "966667": 36, "991667": 36, "000489": [], "002522": [], "000427": 48, "004757": [], "983333": 36, "000356": 36, "002170": [], "000526": [], "021082": 36, "988333": 36, "953333": 36, "016330": 36, "006667": 36, "993333": 36, "006236": 36, "985000": 36, "012247": 36, "026667": 36, "005270": 36, "976667": 36, "940000": 36, "024944": 36, "014337": 36, "980000": 36, "946667": 36, "008498": 36, "968333": 36, "038873": 36, "020000": 36, "926667": 36, "032660": 36, "019293": 36, "033993": 36, "963333": 36, "017951": 36, "945000": 36, "040000": 36, "028186": 36, "951667": 36, "017795": 36, "022730": 36, "best_k": 36, "c_valu": 36, "c_val": 36, "973333": 36, "best_c": 36, "nearestneighborsnearestneighbor": 36, "show_nearest_neighbor": 36, "test_idx": 36, "query_img": 36, "img_ind": 36, "wrangl": 37, "cleaned_restaurant_data": 37, "north_america": 37, "eat_out_freq": 37, "n_peopl": 37, "food_typ": 37, "noise_level": 37, "good_serv": 37, "restaurant_nam": 37, "italian": [37, 38], "ambienc": 37, "dislik": 37, "vibe": 37, "961": 37, "haidilao": 37, "962": 37, "963": 37, "meat": 37, "tasti": 37, "hearti": 37, "broth": 37, "noodl": [37, 55], "uno": 37, "964": 37, "960000e": 37, "696": 37, "585187": 37, "975104": 37, "439254e": 37, "1472": 37, "179152": 37, "246486": 37, "556716": 37, "790481e": 37, "37903": 37, "575636": 37, "000000e": 37, "unusu": 37, "upperbound_pric": 37, "lowerbound_peopl": 37, "restaurant_df": 37, "942": 37, "674": 37, "598057": 37, "992569": 37, "973294": 37, "023279": 37, "257787": 37, "582570": 37, "016660": 37, "018622": 37, "quebecoi": 37, "thai": 37, "fusion": 37, "mexican": 37, "000618": [], "000430": [], "516556": 37, "514950": 37, "000350": [], "000442": [], "000342": [], "000340": [], "513333": 37, "515755": 37, "000332": [], "2200": 37, "934": 37, "comfi": 37, "sit": [37, 57], "911": 37, "hungri": 37, "chambar": 37, "232": 37, "quantit": 37, "qualit": 37, "noise_cat": 37, "x_train_num": 37, "x_test_num": 37, "x_train_num_imp": 37, "x_test_num_imp": 37, "kneighborsclassifierkneighborsclassifi": 37, "5418278145695364": 37, "1500": [37, 41], "525": 37, "753": 37, "x_train_num_imp_sc": 37, "x_test_num_imp_sc": 37, "robustscal": 37, "quantil": 37, "maxabsscal": 37, "55629139": 37, "49006623": 37, "56953642": 37, "53333333": 37, "pipe_knn": 37, "5245916114790287": 37, "plot_improper_process": [37, 43, 44], "plot_proper_process": [37, 43], "415": 37, "x_train_cat": 37, "x_test_cat": 37, "x_train_cat_oh": 37, "x_test_cat_oh": 37, "ohe_feat": 37, "north_america_don": 37, "north_america_no": 37, "north_america_y": 37, "food_type_canadian": 37, "food_type_chines": 37, "food_type_fus": 37, "food_type_indian": 37, "food_type_italian": 37, "food_type_mexican": 37, "food_type_oth": 37, "food_type_quebecoi": 37, "food_type_thai": 37, "food_type_nan": 37, "748": 37, "752": 37, "53642384": 37, "50993377": 37, "51333333": 37, "47333333": 37, "pipe_ohe_knn": 37, "routed_param": 37, "56291391": 37, "54666667": 37, "5537836644591612": 37, "ohe_feat_nam": 37, "svc_num_cat_pip": 37, "6825960264900662": 37, "wasn": [37, 55], "reshape_for_countvector": 37, "text_transform": 37, "text_pip": 37, "6467019867549668": 37, "753x116": 37, "5670": 37, "svc_num_cat_text_pip": 37, "6972185430463577": 37, "regard": [38, 58, 59], "imdb": 38, "replace_tag": 38, "review_pp": 38, "47278": 38, "vast": 38, "soul": 38, "philosophi": 38, "19664": 38, "infantri": 38, "da": 38, "boot": 38, "submarin": 38, "cinema": 38, "par": 38, "22648": 38, "yorker": 38, "contemporan": 38, "era": 38, "norman": 38, "wexler": 38, "delin": 38, "33662": 38, "certainli": 38, "men": 38, "31230": 38, "trash": 38, "subhuman": 38, "cannib": 38, "fan": 38, "fran": 38, "alert": 38, "besid": 38, "oldboi": 38, "wook": 38, "afraid": 38, "28030": 38, "barlei": 38, "nude": 38, "movement": 38, "screa": 38, "dvd": 38, "primo": 38, "cinematographi": 38, "noir": 38, "tribut": 38, "blacklist": 38, "isna": 38, "bow": 38, "5000x10000": 38, "383702": 38, "middl": 38, "conrad": 38, "conscienc": 38, "consciou": 38, "conscious": 38, "conserv": 38, "conservatori": 38, "bird": [38, 40, 41], "elit": 38, "finnish": 38, "grimi": 38, "kerr": 38, "maltin": 38, "narrat": 38, "reynold": 38, "sfx": 38, "thats": 38, "vanc": 38, "505": 38, "587023": 38, "103126": 38, "582914": 38, "105109": 38, "835261": 38, "101897": 38, "593766": 38, "086516": 38, "853": 38, "761284": 38, "098995": 38, "839": 38, "83470": 38, "7964": 38, "92265": 38, "8456": 38, "98585": 38, "8520": 38, "8426": 38, "8376": 38, "8350": 38, "optimized_c": 38, "word_coeff_df": 38, "074949": 38, "083893": 38, "034402": 38, "056493": 38, "041633": 38, "013299": 38, "022139": 38, "zorak": 38, "021878": 38, "zorro": 38, "130075": 38, "\u00e2\u00bd": 38, "012649": 38, "903484": 38, "659922": 38, "653301": 38, "651763": 38, "favorit": 38, "607887": 38, "621695": 38, "701030": 38, "736608": 38, "799353": 38, "986970": 38, "visualize_coeffici": 38, "n_top_featur": 38, "fake_review": 38, "1x10000": 38, "16423497": 38, "83576503": 38, "words_in_ex": 38, "ex_df": 38, "126498": 38, "390053": 38, "268316": 38, "578879": 38, "113743": 38, "122759": 38, "582012": 38, "037942": 38, "136288": 38, "054205": 38, "133895": 38, "plot_coeff_exampl": 38, "feat_vect": 38, "pos_prob": 38, "95205899": 38, "83301769": 38, "9093526": 38, "89247531": 38, "05736279": 38, "79360853": 38, "most_posit": 38, "tragic": 38, "custodi": 38, "battl": 38, "kramer": 38, "screenwrit": 38, "robert": 38, "benton": 38, "marvel": 38, "averi": 38, "corman": 38, "beautifulli": 38, "deliv": 38, "straight": 38, "talent": 38, "tale": 38, "splendid": 38, "deservedli": 38, "nine": 38, "academi": 38, "nomin": 38, "dustin": 38, "hoffman": 38, "superb": 38, "ted": 38, "forgotten": 38, "joann": 38, "meryl": 38, "streep": 38, "actress": 38, "portray": 38, "eight": 38, "marriag": 38, "jane": 38, "alexand": 38, "fantast": 38, "margaret": 38, "stake": 38, "justin": 38, "choke": 38, "tear": 38, "thoroughli": 38, "brilliant": 38, "nestor": 38, "almendro": 38, "greenberg": 38, "purcel": 38, "himself": [38, 55], "realis": 38, "1995": [38, 51], "heartach": 38, "estrang": 38, "amazingli": 38, "superl": 38, "torn": 38, "toppl": 38, "career": 38, "desper": 38, "fade": 38, "outstand": 38, "caught": 38, "rend": 38, "1979": 38, "1996": 38, "neg_prob": 38, "04794101": 38, "16698231": 38, "0906474": 38, "10752469": 38, "94263721": 38, "20639147": 38, "most_neg": 38, "36555": 38, "recov": 38, "modulenotfounderror": [39, 43, 45, 46, 47, 49, 50, 51, 52, 53, 54, 55, 56], "51150": [39, 47], "538816": [39, 47], "481893": [39, 47], "827130": [39, 47], "573050": [39, 47], "644106": [39, 47], "340988": [39, 47], "102135": [39, 47], "939006": [39, 47], "578654": [39, 47], "530978": [39, 47], "860677": [39, 47], "201810": [39, 47], "719747": [39, 47], "729143": [39, 47], "547993": [39, 47], "023636": [39, 47], "454966": [39, 47], "37906": [39, 47], "39163": [39, 47], "363913": [39, 47], "853399": [39, 47], "648195": [39, 47], "118934": [39, 47], "100882": [39, 47], "423852": [39, 47], "472790": [39, 47], "972440": [39, 47], "033833": [39, 47], "687055": [39, 47], "094586": [39, 47], "121531": [39, 47], "146830": [39, 47], "944092": [39, 47], "558564": [39, 47], "186814": [39, 47], "257103": [39, 47], "79378": [39, 47], "57994": [39, 47], "193021": [39, 47], "136714": [39, 47], "622612": [39, 47], "780864": [39, 47], "823511": [39, 47], "706444": [39, 47], "206073": [39, 47], "016918": [39, 47], "781531": [39, 47], "310405": [39, 47], "842028": [39, 47], "085477": [39, 47], "366005": [39, 47], "254443": [39, 47], "290002": [39, 47], "036764": [39, 47], "015039": [39, 47], "245686": [39, 47], "152859": [39, 47], "604032": [39, 47], "808208": [39, 47], "594982": [39, 47], "200475": [39, 47], "502985": [39, 47], "832370": [39, 47], "034071": [39, 47], "234040": [39, 47], "550616": [39, 47], "519029": [39, 47], "429217": [39, 47], "139322": [39, 47], "293663": [39, 47], "037785": [39, 47], "061206": [39, 47], "005387": [39, 47], "057296": [39, 47], "60943": [39, 47], "49575": [39, 47], "669614": [39, 47], "734385": [39, 47], "662450": [39, 47], "059077": [39, 47], "346850": [39, 47], "549682": [39, 47], "430571": [39, 47], "118450": [39, 47], "469383": [39, 47], "228329": [39, 47], "370643": [39, 47], "211544": [39, 47], "300837": [39, 47], "174590": [39, 47], "573818": [39, 47], "388023": [39, 47], "161782": [39, 47], "logisit": 39, "99807444e": 39, "92556242e": 39, "99537296e": 39, "62703836e": 39, "99678149e": 39, "21851032e": 39, "99907898e": 39, "21018764e": 39, "99882185e": 39, "17814723e": 39, "99845434e": 39, "54565766e": 39, "43344135e": 39, "87215534e": 39, "13373820e": 39, "99999990e": 39, "99999996e": 39, "12247976": 39, "15220481": 39, "05407669": 39, "18444729": 39, "06337006": 39, "05482241": 39, "lr_f1": 39, "svc_f1": 39, "6463104325699746": 39, "553314121037464": 39, "lr_ap": 39, "svc_ap": 39, "698147830641323": 39, "7629107575877127": 39, "_plot": 39, "0x124c45bd0": 39, "add_subplot": 39, "0x125924ed0": 39, "pipe_lr_std": 39, "pipe_lr_upw": 39, "upweight": 39, "0x1260725d0": 39, "0x1260716d0": 39, "quatifi": 39, "confust": 39, "speci": [40, 59], "788": [40, 48, 56], "birds_input": 40, "birds_class": 40, "target_transform": [40, 41], "loader": [40, 41], "is_valid_fil": [40, 41], "303": [40, 41, 50], "img_extens": [40, 41], "315": [40, 41], "316": [40, 41], "datasetfold": [40, 41], "142": [40, 41], "class_to_idx": [40, 41], "find_class": [40, 41], "make_dataset": [40, 41], "194": [40, 41], "scandir": [40, 41], "is_dir": [40, 41], "x_bird": 40, "flatten_imag": 40, "flatten_dataload": 40, "image_shap": 40, "120000": 40, "km_flatten": 40, "kmeanskmean": [40, 41], "unflatten_input": 40, "get_cluster_imag": [40, 41], "n_img": [40, 41], "extractor": 40, "z_bird": 40, "food_input": [40, 41], "food_class": [40, 41], "x_food": [40, 41], "z_food": [40, 41], "181": 40, "271": [40, 41, 56], "325": [40, 41], "253": [40, 49], "236": [40, 41, 43, 46], "282": 40, "223": [40, 41], "231": 40, "appendixb": 40, "166": [41, 51], "327": [41, 43], "240": 41, "235": [41, 51], "234": 41, "dists_df": 41, "341": 41, "342": 41, "343": 41, "347": 41, "349": 41, "838209": 41, "272423": 41, "557386": 41, "911512": 41, "729088": 41, "535007": 41, "919943": 41, "910038": 41, "831701": 41, "821581": 41, "069433": 41, "836058": 41, "045502": 41, "334972": 41, "312830": 41, "730888": 41, "483530": 41, "518341": 41, "012949": 41, "690664": 41, "808674": 41, "380119": 41, "499969": 41, "269186": 41, "080601": 41, "174231": 41, "724173": 41, "517481": 41, "425566": 41, "153849": 41, "348946": 41, "451920": 41, "344963": 41, "383554": 41, "948429": 41, "117655": 41, "012907": 41, "241850": 41, "272598": 41, "983030": 41, "745886": 41, "138418": 41, "259501": 41, "387449": 41, "976543": 41, "755798": 41, "489601": 41, "757547": 41, "980059": 41, "965456": 41, "195887": 41, "397800": 41, "607014": 41, "029932": 41, "488819": 41, "426289": 41, "817778": 41, "362293": 41, "543203": 41, "214371": 41, "433807": 41, "525894": 41, "772890": 41, "805965": 41, "740297": 41, "505461": 41, "599627": 41, "887571": 41, "735687": 41, "722355": 41, "054052": 41, "763035": 41, "249685": 41, "294979": 41, "665562": 41, "088818": 41, "409763": 41, "046513": 41, "512915": 41, "122980": 41, "731318": 41, "328199": 41, "524778": 41, "566645": 41, "233059": 41, "732960": 41, "961937": 41, "021688": 41, "355204": 41, "388792": 41, "226387": 41, "771818": 41, "816877": 41, "633665": 41, "816105": 41, "698130": 41, "911955": 41, "400141": 41, "690134": 41, "754042": 41, "597506": 41, "449287": 41, "049765": 41, "228279": 41, "203318": 41, "634016": 41, "843769": 41, "824900": 41, "539536": 41, "891027": 41, "559868": 41, "736403": 41, "069878": 41, "720396": [31, 41], "640726": 41, "087231": 41, "709068": 41, "990519": 41, "950739": 41, "422796": 41, "982191": 41, "307524": 41, "929638": 41, "822123": 41, "524864": 41, "816399": 41, "144579": 41, "315739": 41, "252844": 41, "219345": 41, "628778": 41, "586554": 41, "797318": 41, "021420": 41, "156252": 41, "752766": 41, "942122": 41, "648315": 41, "040714": 41, "330954": 41, "934887": 41, "133183": 41, "376286": 41, "258141": 41, "nanmax": 41, "918853": 41, "791836": 41, "870182": 41, "nep": 41, "min_sampl": 41, "269": 41, "dbscan_label": 41, "print_dbscan_clust": 41, "print_dbscan_noise_imag": 41, "faces_input": 41, "x_face": 41, "z_face": 41, "175": 41, "103": [41, 50], "359": [41, 43, 46], "260": 41, "329": 41, "dist_df": 41, "212444": 41, "023613": 41, "863905": 41, "001663": 41, "938940": 41, "098724": 41, "955692": 41, "270945": 41, "389570": 41, "826571": 41, "514793": 41, "561979": 41, "348663": 41, "740641": 41, "028826": 41, "770222": 41, "892704": 41, "719786": 41, "463976": 41, "759411": 41, "995085": 41, "543497": 41, "854399": 41, "650290": 41, "240793": 41, "963823": 41, "705948": 41, "509878": 41, "242216": 41, "694988": 41, "906570": 41, "872011": 41, "647667": 41, "404259": 41, "862476": 41, "595673": 41, "784702": 41, "887432": 41, "958988": 41, "354176": 41, "925968": 41, "882242": 41, "242348": 41, "911688": 41, "257753": 41, "27959": 41, "94334": 41, "261": 41, "197": 41, "odd": 41, "angl": 41, "crop": 41, "glass": 41, "z_hrch": 41, "ward": 41, "dendrogram": 41, "no_label": 41, "cluster_label": 41, "flat": 41, "hand_picked_clust": 41, "print_hierarchical_clust": 41, "runtimewarn": 41, "retain": 41, "max_open_warn": 41, "hair": 41, "grades_df": 42, "ohe_encod": 42, "oe_encod": 42, "mape": 42, "0102": [43, 46], "833": [43, 46], "204600": [43, 46], "021900": [43, 46], "1650": [43, 46], "795": [43, 46, 48], "326933": [43, 46], "006110": [43, 46], "0794": [43, 46], "083": [43, 46], "redbon": [43, 46], "childish": 43, "gambino": 43, "838": [43, 46], "185707": [43, 46], "000234": [43, 46, 56], "1590": [43, 46], "2890": [43, 46], "044": [43, 46], "173": [43, 46], "xanni": [43, 46], "6040": [43, 46], "199413": [43, 46], "338": [43, 46], "0922": [43, 46], "0261": [43, 46], "230": [43, 46], "beach": 43, "678": [43, 46, 48], "392893": [43, 46], "512000": [43, 46], "4390": [43, 46], "0694": [43, 46], "junior": 43, "1555": 43, "341667": 43, "526": 43, "386907": 43, "45240": 43, "01482203": 43, "5609808539232339": 43, "011977": 43, "180165": 43, "011594": 43, "157647": 43, "011777": 43, "173278": 43, "011765": 43, "178473": 43, "011725": 43, "109156": 43, "x_train_toi": [44, 58], "x_test_toi": 44, "y_train_toi": [44, 58], "y_test_toi": 44, "cm2": 44, "0x146edaaa0": [], "illustr": [44, 51], "train_scal": 44, "test_scal": 44, "plot_original_sc": 44, "title_transform": 44, "improperli": 44, "vstack": [44, 52], "xx_scale": 44, "xx_train": 44, "xx_test": 44, "218048215738236e": 44, "07799695717181604": 44, "0501997049901186": 44, "11699543575772282": 44, "9070874541507946": 44, "000360": [], "000265": [31, 44], "000883": [], "625000": 44, "000866": [], "583333": 44, "000252": [], "604167": 44, "000254": [], "000854": [], "416667": 44, "004649": 46, "001960": [], "003161": [], "001762": [], "003139": [], "001709": [], "003119": [], "001741": [], "003147": [], "001715": [], "whe": 45, "2590575478171857": 45, "729702132569275": 46, "084608": 46, "020084": 46, "0x7f82533f4990": 46, "xxxx": 46, "317402": 46, "318038": 46, "316564": 46, "327592": 46, "385581": 46, "310575": 46, "332467": 46, "34058": 46, "322459": 46, "998885": 46, "897492": 46, "84445": 46, "692248": 46, "46924": 46, "556294": 46, "448591": 46, "462728": 46, "451487": 46, "470856": 46, "014065": 46, "002811": 46, "014726": 46, "002606": 46, "007457": 46, "024828": 46, "001589": 46, "026281": 46, "043084": 46, "001987": 46, "076945": 46, "060188": 46, "030602": 46, "02552": 46, "038753": 46, "065264": 46, "004724": 46, "0603": 46, "006248": 46, "050632": 46, "090046": 46, "082929": 46, "082356": 46, "086134": 46, "087315": 46, "102047": 46, "082758": 46, "099931": 46, "090909": 46, "088123": 46, "176486": 46, "191313": 46, "165767": 46, "142972": 46, "088883": 46, "072625": 46, "085139": 46, "103724": 46, "100183": 46, "097011": 46, "008807": 46, "003897": 46, "002679": 46, "001338": 46, "002924": 46, "002746": 46, "030257": 46, "011999": 46, "002463": 46, "007079": 46, "005768": 46, "023229": 46, "003007": 46, "012636": 46, "003285": 46, "005543": 46, "001469": 46, "026408": 46, "371864": 46, "747294": 46, "344238": 46, "351213": 46, "324994": 46, "293022": 46, "459471": 46, "51741": 46, "48337": 46, "453231": 46, "398281": 46, "412341": 46, "369529": 46, "401357": 46, "395857": 46, "381007": 46, "388232": 46, "462429": 46, "743321": 46, "741463": 46, "71172": 46, "710476": 46, "706761": 46, "706759": 46, "660866": 46, "659625": 46, "659006": 46, "652185": 46, "646611": 46, "645992": 46, "633596": 46, "628025": 46, "51042": 46, "426658": 46, "32615": 46, "370865": 46, "306083": 46, "306062": 46, "352345": 46, "321206": 46, "316762": 46, "339304": 46, "38073": 46, "379397": 46, "441245": 46, "436296": 46, "46167": 46, "422954": 46, "4017": 46, "488947": 46, "484224": 46, "467898": 46, "0x7f82533413d0": 46, "0x7f82532ebcd0": 46, "0x7f825345c910": 46, "009185": 46, "000736": 46, "005209": 46, "000593": 46, "008664": 46, "000497": 46, "004867": 46, "000476": 46, "008619": 46, "000472": 46, "004798": 46, "008512": 46, "000591": 46, "000479": 46, "008424": 46, "000609": 46, "000485": 46, "032643": 46, "000439": 46, "008929": 46, "000193": 46, "031400": 46, "009783": 46, "001001": 46, "000396": 46, "009017": 46, "000347": 46, "102829": 46, "001758": 46, "018003": 46, "000217": 46, "097737": 46, "001842": 46, "021678": 46, "000433": 46, "893": 46, "007091": 46, "006921": 46, "008909": 46, "006615": 46, "006458": 46, "006562": 46, "006574": 46, "006631": 46, "00664": 46, "006662": 46, "009526": 46, "006852": 46, "006553": 46, "006648": 46, "009951": 46, "00654": 46, "006372": 46, "006815": 46, "006833": 46, "6262376237623762": 46, "macro": 47, "012197": 47, "002049": 47, "587211": 47, "010523": 47, "disp": 47, "276776": 47, "102092": 47, "088233": 47, "093971": 47, "288138": 47, "104035": 47, "109370": 47, "236774": 47, "009844": 47, "092141": 47, "pr_dict": 47, "001705": 47, "003405": 47, "772277": 47, "768473": 47, "793478": 47, "715686": 47, "752577": 47, "814815": 47, "721311": 47, "876712": 47, "731429": 47, "897059": 47, "598039": 47, "717647": 47, "893939": 47, "578431": 47, "702381": 47, "903226": 47, "549020": 47, "682927": 47, "892857": 47, "490196": 47, "632911": 47, "9700376801085544": 47, "undersampl": 47, "oversampl": 47, "smote": 47, "makeup": [48, 57], "jbook": 48, "_decor": 48, "deprecate_nonkeyword_argu": 48, "num_allow_arg": 48, "306": 48, "stacklevel": 48, "mangle_dupe_col": 48, "error_bad_lin": 48, "warn_bad_lin": 48, "667": 48, "676": [30, 48], "575": 48, "572": 48, "578": 48, "930": 48, "1217": 48, "1213": 48, "rb": 48, "overload": 48, "1215": 48, "pathlik": 48, "readcsvbuff": 48, "byte": 48, "1216": 48, "1221": 48, "1223": 48, "1224": 48, "1225": 48, "1226": 48, "1227": 48, "1228": 48, "789": 48, "785": 48, "786": 48, "792": 48, "794": 48, "001587": 48, "000620": 48, "001186": 48, "000616": 48, "001056": 48, "000438": 48, "001151": 48, "000885": [44, 48], "000408": 48, "000983": 48, "000440": [37, 48], "000909": 48, "000401": 48, "000412": 48, "000902": 48, "000421": 48, "000865": 48, "000409": 48, "7234503": 48, "07174468998": 48, "01311996081": 48, "110372": 48, "016864": 48, "030887": 48, "009557": 48, "037350": 48, "010032": 48, "034898": 48, "010189": 48, "035345": 48, "010177": 48, "035850": 48, "010048": 48, "035635": 48, "010101": 48, "035794": 48, "010222": 48, "035665": 48, "010233": 48, "041555": 48, "010893": 48, "7951559890417758": 48, "481514": 48, "7986538": 48, "539": 48, "914451894256": 48, "10092665203438765": 48, "0780850698289626": 48, "058952": 48, "017841": 48, "037522": 48, "012024": 48, "038325": 48, "012385": 48, "039022": 48, "012244": 48, "046787": 48, "012960": 48, "069275": 48, "020829": 48, "052758": 48, "020309": 48, "048205": 48, "014515": 48, "047903": 48, "014235": 48, "047534": 48, "014629": 48, "331683e": 48, "861569e": 48, "748678e": 48, "709196e": 48, "670668e": 48, "708698e": 48, "731038e": 48, "723242e": 48, "651645e": 48, "649046e": 48, "128092": 48, "127731": 48, "120763": 48, "123527": 48, "125656": 48, "122418": 48, "12763": 48, "127673": 48, "130119": 48, "084991": 48, "141531": 48, "136094": 48, "132274": 48, "005032": 48, "045462": 48, "001943": 48, "166171": 48, "034114": 48, "059196": 48, "015461": 48, "125609": 48, "010245": 48, "136016": 48, "006792": 48, "043729": 48, "002724": 48, "130938": 48, "008744": 48, "047061": 48, "006918": 48, "125548": 48, "011318": 48, "043274": 48, "129750": 48, "004327": 48, "043355": 48, "003814": 48, "122386": 48, "006678": 48, "042967": 48, "002872": 48, "130967": 48, "019439": 48, "039007": 48, "006258": 48, "093235": 48, "018278": 48, "032982": 48, "006405": 48, "150008": 48, "013874": 48, "047600": 48, "004518": 48, "133128": 48, "026296": 48, "032542": 48, "006817": 48, "09503409246217497": 48, "imageio": [49, 54, 56], "imread": [49, 54, 56], "484": 49, "783": 49, "085": 49, "958": 49, "073": 49, "802": 49, "077": [49, 51], "027": [32, 49], "873": 49, "020": 49, "663048": 49, "247848": 49, "636314": 49, "615760": 49, "41928467": 49, "58071533": 49, "0964233717482785": 49, "903576628251722": 49, "4192846743496557": 49, "5807153256503443": 49, "053": 49, "282920": 49, "780521": 49, "656565": 49, "046631": 49, "120583": 49, "31724168": 49, "26109564": 49, "73890436": 49, "58519824": 49, "41480176": 49, "24221916": 49, "75778084": 49, "20580318": 49, "79419682": 49, "394": 49, "13704": 50, "12508": 50, "shed": 50, "047914": 50, "010573": 50, "032475": 50, "010223": 50, "029946": 50, "010373": 50, "030347": 50, "010317": 50, "030336": 50, "009905": 50, "4237": 50, "0351607": 50, "5690201394269164": 50, "095": 50, "072": 50, "478": 50, "356533": 50, "743840": 50, "426102": 50, "333798": 50, "276547": 50, "078302": 50, "072203": 50, "049542": 50, "007104": 50, "003110": 50, "country_outli": 50, "guam": 50, "usvi": 50, "000025": 50, "000013": 50, "occupation_arm": 50, "000012": 50, "country_holand": 50, "netherland": 50, "000004": 50, "plot_siz": 50, "hue": 51, "001828": 51, "028418": 51, "130472": 51, "085936": 51, "880": 51, "126": [34, 51], "3252": 51, "452600": 51, "7099": 51, "1106": 51, "2401": 51, "1138": 51, "3014": 51, "358500": 51, "1467": 51, "496": 51, "177": 51, "2574": 51, "352100": 51, "1274": 51, "6431": 51, "341300": 51, "1627": 51, "565": 51, "8462": 51, "342200": 51, "007676": 51, "002997": 51, "015419": 51, "006034": 51, "020705": 51, "006861": 51, "017801": [31, 51], "007906": 51, "019558": 51, "007068": 51, "041103": 51, "010614": 51, "042370": 51, "015185": 51, "058692": 51, "015512": 51, "058763": 51, "015724": 51, "089928": 51, "016405": 51, "026809": 51, "007828": 51, "044908": 51, "010527": 51, "061209": 51, "011243": 51, "056894": 51, "011553": 51, "051862": 51, "011770": 51, "914": 51, "090": 51, "as_fram": [51, 59], "395": 51, "08045": 51, "05361": 51, "02681": 51, "03251": 51, "1641": 51, "05764": 51, "684": 51, "1066": 51, "1231": 51, "0846": 51, "07911": 51, "2523": 51, "06609": 51, "11670": 51, "20870": 51, "28100": 51, "15620": 51, "2162": 51, "06606": 51, "172": 51, "2081": 51, "1502": 51, "5717": 51, "7053": 51, "24220": 51, "3828": 51, "10070": 51, "381": 51, "07987": 51, "07079": 51, "03546": 51, "02074": 51, "06246": 51, "1095": 51, "1982": 51, "1553": 51, "06754": 51, "3202": 51, "07287": 51, "198": 51, "1148": 51, "08523": 51, "14280": 51, "11140": 51, "06772": 51, "1767": 51, "05529": 51, "1322": 51, "5601": 51, "3865": 51, "17080": 51, "3193": 51, "09221": 51, "432": 51, "11520": 51, "12960": 51, "03710": 51, "03003": 51, "07839": 51, "1424": 51, "2517": 51, "0942": 51, "06042": 51, "2727": 51, "10360": 51, "lr_l2_pipe": 51, "001830": 51, "219333": 51, "543376": 51, "215956": 51, "293937": 51, "065450": 51, "192030": 51, "655450": 51, "850999": 51, "446818": 51, "095681": 51, "314711": 51, "027409": 51, "857302": 51, "756209": 51, "329308": 51, "836200": 51, "020990": 51, "306175": 51, "135889": 51, "875058": 51, "799151": 51, "688446": 51, "626146": 51, "689233": 51, "384255": 51, "047503": 51, "860896": 51, "091686": 51, "357159": 51, "436556": 51, "predicton": 51, "sum_j": 51, "calll": 51, "sigmoid": 51, "sigma": 51, "lr_l1_pipe": 51, "liblinear": 51, "004590": 51, "001571": 51, "968296": 51, "986803": 51, "171052": 51, "437340": 51, "366957": 51, "899951": 51, "605914": 51, "765894": 51, "237705": 51, "020974": 51, "256502": 51, "353609": 51, "065019": 51, "187817": 51, "011451": 51, "randomforest": 51, "selction": 51, "mamba": 51, "interestingli": 51, "430083": 51, "008701": 51, "934771": 51, "008274": 51, "933020": 51, "221132": 51, "008003": 51, "950627": 51, "sarkozi": 52, "inertia": 52, "oddli": 52, "multivariate_norm": 52, "dataset_sub1": 52, "dataset_sub2": 52, "dataset_sub3": 52, "dataset_sub4": 52, "plot_kmeans_circl": 52, "gausssian": 52, "covariance_typ": 52, "gmm_label": 52, "means_": 52, "25596947": 52, "15011412": 52, "38137298": 52, "31731115": 52, "93609356": 52, "96311554": 52, "covariances_": 52, "97803583": 52, "26628563": 52, "11174164": 52, "09449493": 52, "25892116": 52, "394036": 52, "95673803": 52, "63462235": 52, "26072047": 52, "weights_": 52, "14042383": 52, "28682168": 52, "57275449": 52, "pi_k": 52, "mu_k": 52, "sigma_k": 52, "gaussian_mixture_1d": 52, "\u03d51": 52, "\u03d52": 52, "convex": 52, "diag": 52, "orient": 52, "cov_typ": 52, "plot_gmm_cov_typ": 52, "9996": 52, "0004": 52, "9899": 52, "0101": 52, "9966": 52, "0034": 52, "9961": 52, "0039": 52, "9935": 52, "0065": 52, "9927": 52, "0073": 52, "9981": 52, "0019": 52, "9839": 52, "0003": 52, "073780282241252": 52, "akaik": 52, "aic": 52, "bic": 52, "gmm_model": 52, "aic_scor": 52, "bic_scor": 52, "lowest": [52, 57], "agre": 53, "f2": 53, "req": 54, "8718": 54, "mermaid": 54, "n_toi": 54, "m_toi": 54, "user_mapper_toi": 54, "item_mapper_toi": 54, "user_inverse_mapper_toi": 54, "item_inverse_mapper_toi": 54, "utility_mat_toi": 54, "2632": 54, "2740": 54, "3072": 54, "2933": 54, "2646": 54, "2804": 54, "0171": 54, "1755": 54, "1939": 54, "2187": 54, "1770": 54, "1967": 54, "0189": 54, "263227": 54, "175461": 54, "648470": 54, "119723": 54, "273979": 54, "193898": 54, "690479": 54, "234411": 54, "307165": 54, "218716": 54, "685509": 54, "116034": 54, "293285": 54, "218148": 54, "686135": 54, "119938": 54, "264584": 54, "177027": 54, "678480": 54, "112205": 54, "eigentast": 54, "berkelei": 54, "archiv": [54, 55], "jester_dataset_2": 54, "surprise_data": 54, "5777": 54, "5787": 54, "5698": 54, "5673": 54, "5829": 54, "5753": 54, "0058": 54, "3196": 54, "3218": 54, "3124": 54, "3247": 54, "3212": 54, "0051": 54, "577692": 54, "319554": 54, "990808": 54, "122256": 54, "578666": 54, "327421": 54, "161996": 54, "026334": 54, "569781": 54, "321780": 54, "366242": 54, "029095": 54, "567327": 54, "312407": 54, "523125": 54, "435463": 54, "582858": 54, "324705": 54, "199505": 54, "375153": 54, "5238095238095237": 54, "collobor": 54, "nxm": 54, "collobr": 54, "coo_matrix": 55, "csr_matrix": 55, "schedul": [55, 57], "sushi": 55, "542754": 55, "ramen": 55, "541916": 55, "bento": 55, "539965": 55, "teriyaki": 55, "502705": 55, "yakisoba": 55, "502351": 55, "takoyaki": 55, "501550": 55, "onigiri": 55, "501540": 55, "burger": 55, "495270": 55, "ramen_noodl": 55, "493126": 55, "490753": 55, "1962": 55, "5098": 55, "746": 55, "15th": 55, "inca": 55, "citadel": 55, "eastern": 55, "cordillera": 55, "southern": 55, "peru": 55, "cbc": 55, "boondoggl": 55, "eleph": 55, "campaign": 55, "4105": 55, "subword": 55, "conceptnet": 55, "numberbatch": 55, "ruscorpora": 55, "gigaword": 55, "twitter": 55, "__testing_word2vec": 55, "3000000": 55, "3828125": 55, "18066406": 55, "10644531": 55, "4296875": 55, "21582031": 55, "10693359": 55, "13476562": 55, "08740234": 55, "14648438": 55, "09619141": 55, "02807617": 55, "01409912": 55, "12890625": 55, "21972656": 55, "41210938": 55, "11914062": 55, "22851562": 55, "19433594": 55, "08642578": 55, "uvic": 55, "788647472858429": 55, "sfu": 55, "7588528394699097": 55, "simon_fras": 55, "7356574535369873": 55, "ufv": 55, "6880435943603516": 55, "viu": 55, "6778583526611328": 55, "kwantlen": 55, "677142858505249": 55, "ubco": 55, "6734487414360046": 55, "upei": 55, "6731126308441162": 55, "ubc_okanagan": 55, "6709135174751282": 55, "lakehead_univers": 55, "6622507572174072": 55, "7363681793212891": 55, "infom": 55, "680029571056366": 55, "infor_m": 55, "673384964466095": 55, "informaiton": 55, "6639009118080139": 55, "informa_t": 55, "660125732421875": 55, "informationon": 55, "633933424949646": 55, "informationabout": 55, "6320979595184326": 55, "6186580657958984": 55, "informaion": 55, "6093292236328125": 55, "6063088774681091": 55, "alberta": 55, "6111124157905579": 55, "6086404919624329": 55, "ontario": 55, "6031432747840881": 55, "erik": 55, "5993571281433105": 55, "dominican_republ": 55, "5925410985946655": 55, "costco": 55, "5824529528617859": 55, "rhode_island": 55, "5804311633110046": 55, "dreampharmaceut": 55, "5755444169044495": 55, "5630921721458435": 55, "austin": 55, "5623061656951904": 55, "27610135": 55, "0019627814": 55, "473": 55, "668": 55, "418": 55, "queen": 55, "711819": 55, "monarch": 55, "618967": 55, "590243": 55, "crown_princ": 55, "549946": 55, "princ": 55, "537732": 55, "523684": 55, "queen_consort": 55, "523595": 55, "518113": 55, "sultan": 55, "509859": 55, "monarchi": 55, "508741": 55, "canuck": 55, "821327": 55, "vancouver_canuck": 55, "750401": 55, "calgary_flam": 55, "705470": 55, "695783": 55, "maple_leaf": 55, "691617": 55, "thrasher": 55, "687504": 55, "681716": 55, "sabr": 55, "665307": 55, "blackhawk": 55, "664625": 55, "hab": 55, "661023": 55, "footbal": 55, "526435": 55, "coach_joe_paopao": 55, "483591": 55, "cfl": 55, "475092": 55, "ovfl": 55, "465395": 55, "rugbi": 55, "463872": 55, "football_leagu": 55, "463702": 55, "soccer": 55, "462594": 55, "kavis_re": 55, "462520": 55, "cfler": 55, "461182": 55, "sacobi": 55, "459857": 55, "singer_songwriter_bob_dylan": 55, "505507": 55, "johnny_cash": 55, "495035": 55, "randy_vanwarm": 55, "490558": 55, "heard_voic": 55, "487652": 55, "legendary_singer_songwrit": 55, "484667": 55, "pete_seeg": 55, "478709": 55, "joan_baez": 55, "476631": 55, "tillie_olsen": 55, "476463": 55, "snooky_pryor": 55, "474850": 55, "receive_honorary_doctor": 55, "472725": 55, "homemak": 55, "562712": 55, "housewif": 55, "510505": 55, "graphic_design": 55, "505180": 55, "schoolteach": 55, "497949": 55, "businesswoman": 55, "493489": 55, "paraleg": 55, "492551": 55, "registered_nurs": 55, "490797": 55, "saleswoman": 55, "488163": 55, "electrical_engin": 55, "479773": 55, "mechanical_engin": 55, "475540": 55, "65486": 55, "2584": 55, "062793": 55, "8801": 55, "96833": 55, "5131": 55, "7041": 55, "077749": 55, "mo": 55, "confer": 55, "appl": 55, "kiwi": 55, "topi": 55, "doc_id": 55, "markov": 55, "39x15": 55, "33380754": 55, "31038074": 55, "33476534": 55, "33397112": 55, "36695134": 55, "33439238": 55, "33381373": 55, "35771821": 55, "33380649": 55, "78521263": 55, "33380761": 55, "3573886": 55, "31634363": 55, "32791718": 55, "33224516": 55, "33400489": 55, "2173627": 55, "33411086": 55, "33732465": 55, "28753559": 55, "33223002": 55, "33435326": 55, "33224759": 55, "33797555": 55, "3322447": 55, "33462759": 55, "33440682": 55, "33425967": 55, "3339473": 55, "35561437": 55, "44787197": 55, "33191802": 55, "29572402": 55, "37807203": 55, "33395626": 55, "30792853": 55, "33394593": 55, "87681182": 55, "33394769": 55, "30798381": 55, "34924955": 55, "33782315": 55, "component_label": 55, "update_layout": 55, "xaxis_titl": 55, "yaxis_titl": 55, "xaxi": 55, "tickangl": 55, "autos": 55, "08791477": 55, "08338644": 55, "82869879": 55, "3868": 55, "provinci": 55, "displaystyl": 55, "leagu": 55, "puck": 55, "mutat": 55, "signatur": 55, "cosmic": 55, "ain": 55, "mustn": 55, "shan": 55, "needn": 55, "yourselv": 55, "mightn": 55, "ma": 55, "nsubj": 55, "dobj": 55, "20th": 56, "ovr": 56, "ovo": 56, "7133333333333334": 56, "716": 56, "7893333333333333": 56, "2627451": 56, "27450982": 56, "30588236": 56, "7764706": 56, "76862746": 56, "savannah": 56, "000466": 56, "010418": 56, "000701": 56, "001084": 56, "214988": 56, "670524": 56, "000258": 56, "005873": 56, "312008": 56, "000191": [36, 56], "015757": 56, "329988": 56, "244085": 56, "016992": 56, "050784": 56, "374036": 56, "872947": 56, "216314": 56, "147609": 56, "004717": 56, "004709": 56, "003552": 56, "096267": 56, "417313": 56, "000399": 56, "002817": 56, "380481": 56, "000411": 56, "055866": 56, "214226": 56, "229936": 56, "766309": 56, "232929": 56, "597416": 56, "020700": 56, "038119": 56, "094710": 56, "748593": 56, "000562": 56, "004004": 56, "002272": 56, "001575": 56, "096109": 56, "588947": 56, "000692": [15, 56], "003586": 56, "197310": 56, "000218": 56, "071906": 56, "163141": 56, "390323": 56, "330654": 56, "427222": 56, "111930": 56, "461093": 56, "069564": 56, "700509": 56, "981004": 56, "001858": [44, 56], "002949": 56, "003655": 56, "129396": 56, "942106": 56, "107184": 56, "375395": 56, "505707": 56, "224693": 56, "589073": 56, "093113": 56, "497981": 56, "543450": 56, "081415": 56, "671496": 56, "620780": 56, "000576": 56, "003351": 56, "000918": 56, "003353": 56, "114838": 56, "237181": 56, "000640": 56, "002640": 56, "629871": 56, "000445": 56, "670473": 56, "063835": 56, "211470": 56, "003894": 56, "009912": 56, "145608": 56, "468171": 56, "124041": 56, "032565": 56, "011959": 56, "8866666666666667": 56, "2023w": 57, "swng": 57, "engag": 57, "deepen": 57, "bypass": 57, "desk": 57, "resolv": [57, 59], "audit": 57, "auditor": 57, "unoffici": 57, "mainli": 57, "nevertheless": 57, "earnest": 57, "furthermor": 57, "happier": 57, "expir": 57, "addition": 57, "referenc": 57, "justifi": 57, "coursework": 57, "compassion": 57, "traumat": 57, "sexual": 57, "assault": 57, "misconduct": 57, "seek": 57, "chat": 57, "distract": 57, "photograph": 57, "commit": 57, "hybrid": 57, "worksheet_1": 58, "hashlib": [58, 59, 60], "sha1": [58, 59, 60], "autograd": 58, "upload": 58, "drag": 58, "rubric": [58, 60], "sentenc": 58, "________": 58, "_________": 58, "jump": 58, "solution_1": [58, 59, 60], "ellipsi": [58, 59], "q1": [58, 59, 60], "doctest": [58, 59], "1348": [58, 59], "__run": [58, 59], "exec": [58, 59], "compil": [58, 59], "nonetyp": [58, 59], "utf": [58, 59], "hexdigest": [58, 59], "24ebc14140161ec925b8095832f2be7dfa63beb7": 58, "salari": 58, "offer_data": 58, "supportive_colleagu": 58, "work_hour_flex": 58, "start_up": 58, "offer_df": 58, "unhappi": 58, "happiness_data": 58, "supportive_colleagues_acc": 58, "solution_2": 58, "q2": [58, 59], "assertionerror": [58, 59], "1469842b4307d36cccb487dc989f21016daadbcc": 58, "attributeerror": 58, "toy_tre": 58, "get_n_leav": 58, "toy_tree_viz": 58, "77de68daecd823babbb58edb1c8e14d7106e83bb": 58, "4621a7584156c08258ad22a7adc86667984d9382": 58, "toy_depth": 58, "train_acc": 58, "round_": [58, 59], "fromnumer": [28, 58, 59], "3763": [58, 59], "3337": [58, 59], "_wrapfunc": [58, 59], "_wrapit": [58, 59], "obj": [58, 59], "asarrai": [58, 59], "unsupport": [58, 59], "happy_job_indic": 58, "c48ac7e6c9a92c1a4160e3096f915d1651e6c18f": 58, "confin": 58, "wit": 58, "slider": [58, 59], "jupyterlab_widget": [58, 59], "cal": 58, "x_reg": 58, "y_reg": 58, "plot_depth_regress": 58, "height_scal": 58, "width_scal": 58, "reg_tre": 58, "depth_selector": 58, "640x480": 58, "worksheet_2": 59, "learnt": [59, 60], "load_iri": 59, "ah": 59, "mission": 59, "zog": 59, "vega": 59, "jovian": 59, "martian": 59, "orion": 59, "stella": 59, "luna": 59, "guesstim": 59, "guesswork": 59, "shortest": 59, "footpath": 59, "alien_loc": 59, "zog_loc": 59, "footstep_dist": 59, "4142135623730951": 59, "distance_vega": 59, "distance_max": 59, "distance_orion": 59, "distance_stella": 59, "distance_luna": 59, "1f": 59, "3aba914b9c983dec91591bbdb6d0a28cc7420963": 59, "__round__": 59, "blow": 59, "lightli": 59, "bellow": 59, "answer_1": 59, "answer_2": 59, "answers_1_2": 59, "51fe72d9f07dfe94861978781ded7efe972fd383": 59, "effortlessli": 59, "tie": 59, "equidist": 59, "sepal": 59, "petal": 59, "84633e0bb09c3452a10903e74f825bff93f2016": 59, "b1d5781111d84f7b3fe45a0852e59758cd7a87e5": 59, "e6da655eed7b9306b624c65d43d42651284d84fd": 59, "indexerror": 59, "9ba26e2adc0afa273575707cb431da2c4c0f71ec": 59, "consult": 59, "wiggli": 59, "wider": [59, 60], "smoother": 59, "tweak": 59, "tightrop": 59, "broad": 59, "refin": 59, "jupyter_widget": 59, "wherev": 59, "clear_output": 59, "floatlogslid": 59, "iris_df": 59, "train_and_visualize_svm": 59, "train_and_visualize_knn": 59, "train_and_visualize_tre": 59, "tight_layout": 59, "diabet": 59, "worksheet_3": 60, "reconsid": 60, "dummy_mean_cv_scor": 60, "num_mean_cv_scor": 60, "num_cat_mean_cv_scor": 60, "exclud": 60, "svc_all_pip": 60, "all_mean_cv_scor": 60, "passthrough_fet": 60, "0x1677c6d10": 9, "32978568": 9, "27737742": 9, "30966929": 9, "04725791": 9, "174181": 9, "45652802": 9, "2773774154553146": 9, "001406": 15, "000822": 15, "001007": 15, "000662": 15, "000963": 15, "000673": 15, "000694": 15, "000719": 15, "000690": 15, "000955": 15, "000680": 15, "000660": 15, "000887": 15, "000624": 15, "000996": 15, "001516": 15, "000656": 15, "000689": 15, "000978": 15, "000645": 15, "000638": 15, "000997": 15, "000698": 15, "000920": 15, "000967": 15, "782": 15, "217500": 15, "048940": 15, "066251": 15, "072707": 15, "012019": 15, "216667": 15, "085025": 15, "029909": 15, "088397": 15, "009422": 15, "209583": 15, "091819": 15, "009260": 15, "097938": 15, "005563": 15, "235417": 15, "096990": 15, "242083": 15, "086932": 15, "092687": 15, "005546": 18, "002353": 18, "002291": 18, "004370": 18, "002261": 18, "002258": 18, "004334": 18, "007080": 18, "005243": 18, "002341": 18, "004419": 18, "002299": 18, "004387": 18, "002222": 18, "004386": 18, "002237": 18, "004359": 18, "002235": 18, "005925": 18, "002816": 18, "005036": 18, "002637": 18, "005047": 18, "005041": 18, "002626": 18, "004964": 18, "002623": 18, "004752": 19, "000512": 19, "002745": 19, "000470": 19, "000429": 19, "002662": 19, "000552": 19, "003294": 19, "000455": 19, "000256": [19, 44], "000535": 19, "000184": 19, "000292": [19, 31], "000246": 19, "000123": 19, "004266": 19, "000357": 19, "002289": 19, "002164": 19, "002091": 19, "000285": 19, "002115": 19, "2900": 28, "2786": 28, "3040": [28, 31], "2779": 28, "2821": 28, "0146": 28, "2148": 28, "1876": 28, "1829": 28, "2264": 28, "1941": 28, "0167": 28, "290015": 28, "214789": 28, "525016": 28, "094339": 28, "278569": 28, "187631": 28, "256846": 28, "220660": 28, "259974": 28, "182936": 28, "238888": 28, "085514": 28, "304010": 28, "226410": 28, "229876": 28, "146885": 28, "277926": 28, "194138": 28, "214270": 28, "084685": 28, "1793": 28, "n_completed_task": 28, "1794": 28, "print_progress": 28, "train_measur": 28, "train_predict": 28, "rmse_": 28, "__array_function__": 28, "3464": 28, "keepdim": 28, "3461": 28, "3462": 28, "_method": 28, "_mean": 28, "3465": 28, "asanyarrai": 28, "is_float16_result": 28, "rcount": 28, "_count_reduce_item": 28, "1943": [], "lstrip": [], "1942": [], "frombuff": [], "i_vector": [], "_add_word_to_kv": [], "bytes_per_vector": [], "1909": [], "logger": [], "word_id": [], "add_vector": [], "1913": [], "1914": [], "bogu": [], "1915": [], "todo": [], "somedai": [], "zipf": [], "1916": [], "word_count": [], "548": [], "slot": [], "529": [], "ineffici": [], "realloc": [], "545": [], "target_index": [], "next_index": [], "index_to_kei": [], "549": [], "550": [], "551": [], "553": [], "prealloc": [], "554": [], "252": 30, "8026666666666666": 30, "7373333333333333": 30, "38431373": 30, "4117647": 30, "42745098": 30, "34117648": 30, "34509805": 30, "36862746": 30, "001248": [], "000521": [], "000223": [], "000739": [], "000750": [], "000255": [], "001215": [], "7750553478074826": 31, "83320": 31, "24182": 31, "7781845435415525": 31, "243212": 31, "927576": 31, "865455": 31, "location_witchcliff": 31, "729178": 31, "location_townsvil": 31, "718523": 31, "location_katherin": 31, "726349": 31, "location_wollongong": 31, "748329": 31, "location_mountginini": 31, "964628": 31, "221788": 31, "144729": 31, "1031": 31, "144730": 31, "1029": 31, "144731": 31, "144732": 31, "57415": 31, "ballarat": 31, "119911": 31, "perthairport": 31, "60455": 31, "bendigo": 31, "66473": 31, "melbourneairport": 31, "8478874811631412": 31, "243125": 31, "939310": 31, "864369": 31, "731127": 31, "720150": 31, "715836": 31, "736917": 31, "745582": 31, "963181": 31, "221646": 31, "62657": 31, "115089": 31, "115090": 31, "115091": 31, "115092": 31, "128828": 31, "128829": 31, "128830": 31, "128820": 31, "72036": 31, "266912": 31, "945668": 31, "798893": 31, "748824": 31, "705665": 31, "location_darwin": 31, "735386": 31, "748457": 31, "902783": 31, "926680": 31, "181793": 31, "069933": 31, "219294": 31, "111232": 31, "050885": 31, "2309": 31, "2310": 31, "2311": 31, "2312": 31, "2313": 31, "3041": 31, "3042": 31, "3043": 31, "3044": 31, "081042": 31, "008300": 31, "108487": 31, "023054": 31, "018269": 31, "278574": 31, "267491": 31, "dependents_no": 32, "dependents_y": 32, "streamingmovies_no": 32, "gender_femal": 32, "gender_mal": 32, "042": 32, "019": 32, "3525": 32, "641": 32, "347917": 32, "067781": 32, "165713": 32, "431408": 32, "180234": 32, "539424": 32, "404809": 32, "527251": 32, "753821": 32, "069192": 32, "418213": 32, "146987": 32, "658222": 32, "863305": 32, "084314": 32, "000044": 32, "465356": 32, "018217": 32, "018384": 32, "066333": 32, "111793": 32, "148227": 32, "894230": 32, "159776": 32, "274631": 32, "783599": 32, "351812": 32, "981948": 32, "862236": 32, "118281": 32, "180214": 32, "197473": 32, "067879": 32, "047174": 32, "313254": 32, "048304": 32, "367868": 32, "654935": 32, "007932": 32, "978031": 32, "154556": 32, "856795": 32, "069302": 32, "290385": 32, "018727": 32, "747975": 32, "981447": 32, "230194": 32, "025735": 32, "280148": 32, "streamingmovies_y": 32, "1632": 34, "minibatch": 34, "1630": 34, "size_": 34, "itertool": 34, "islic": 34, "1633": 34, "trainable_pip": 34, "tok2vec": 34, "get_dim": 34, "tokvec": 34, "_list_forward": 34, "numpy_op": 34, "asarray1i": 34, "seq": 34, "xf": 34, "yf": 34, "get_dxf": 34, "dy": 34, "listxd": 34, "dyf": 34, "d_output": 34, "dx": 34, "backprop_lay": 34, "004760": 36, "000708": 36, "000164": 36, "000152": 36, "000200": 36, "000803": 36, "114997": 36, "003168": 36, "000363": 36, "002012": 36, "001889": 36, "000354": 36, "001947": 36, "000655": [31, 37], "000594": 37, "000463": 37, "000351": 37, "000344": 37, "000450": 37, "000343": 37, "000431": 37, "000334": 37, "0x14ac06aa0": 44, "000377": 44, "001086": 44, "000861": 44, "000855": 44, "004939": 44, "003220": 44, "003174": 44, "001712": 44, "003152": 44, "001699": 44, "003126": 44, "001736": 44, "obsolet": [], "nanosecond": 31, "billionth": 31, "epoch": 31, "utc": 31, "000268": [], "000925": [], "000740": [], "000878": [], "000612": [], "001252": [], "000623": [], "tick": 31, "000782": [], "000537": [], "001041": [], "000754": [], "000962": 31, "000299": 31, "000706": 31, "001002": 31, "000751": 31, "000813": 31}, "objects": {}, "objtypes": {}, "objnames": {}, "titleterms": {"licens": [0, 1], "instruct": [0, 8, 58], "materi": [0, 10], "softwar": [0, 30, 31, 56], "ubc": [1, 57], "cpsc": [1, 3, 4, 7, 9, 13], "330": [1, 3, 4, 7, 9, 13], "appli": [1, 9, 17, 18, 22, 43, 48], "machin": [1, 13, 14, 15, 16, 21, 26, 52], "learn": [1, 6, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35, 38, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56], "2023w1": 1, "The": [1, 15, 19, 20, 23, 25, 26, 28, 33, 45, 49, 51, 52, 54, 59], "teach": [1, 57], "team": [1, 57], "instructor": [1, 13], "cours": [1, 10, 12, 13, 54, 57], "co": [1, 13, 29, 55, 57], "ordin": [1, 13, 17, 18, 24, 42, 43, 50, 57], "ta": [1, 13, 57], "import": [1, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 42, 45, 47, 49, 50, 52, 54, 58, 59, 60], "link": [1, 13], "deliver": 1, "due": 1, "date": [1, 31], "tent": 1, "lectur": [1, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 35, 36, 37, 38, 40, 41, 42, 43, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56], "schedul": 1, "covid": [1, 57], "safeti": [1, 57], "land": 1, "acknowledg": 1, "attribut": [2, 24, 50], "vs": [3, 13, 14, 15, 16, 21, 24, 26, 27, 29, 30, 42, 45, 47, 50, 51, 52, 53, 55, 56], "340": [3, 13], "document": [4, 9, 26, 29, 34, 52, 55], "how": [5, 8, 14, 15, 16, 17, 19, 23, 24, 25, 26, 27, 29, 43, 45, 49, 50, 51, 52, 53, 54, 55], "ask": 5, "help": [5, 25, 51], "piazza": 5, "specif": [5, 25, 51], "q": 5, "A": [5, 21, 26, 27, 29, 31, 33, 47, 52, 53, 55], "guidelin": [5, 7, 8], "gener": [5, 7, 15, 16, 19, 23, 25, 45, 49, 51], "question": [5, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 31, 32, 35, 37, 38, 39, 42, 46, 49, 53, 54, 55], "grade": [5, 7, 13, 14, 57], "relat": [5, 14, 16, 29, 55], "what": [6, 11, 13, 15, 17, 18, 19, 21, 22, 23, 24, 25, 26, 28, 29, 32, 37, 39, 43, 44, 47, 48, 49, 50, 51, 52, 54, 55], "ar": [6, 13, 14, 17, 19, 21, 26, 27, 28, 29, 37, 43, 45, 48, 52, 53, 54, 55], "git": [6, 11], "github": 6, "desktop": 6, "command": 6, "line": 6, "set": [6, 11, 13, 15, 20, 21, 35, 46, 47], "up": [6, 11, 13, 15, 16], "mac": 6, "user": [6, 28, 54], "ubuntu": 6, "window": [6, 11], "test": [6, 15, 20, 31, 35, 46, 60], "your": [6, 13, 14, 35], "instal": [6, 11], "polici": 7, "concern": 7, "time": [7, 13, 26, 31, 32], "limit": [7, 19, 27, 45, 53], "reason": 7, "homework": [8, 13], "info": 8, "submiss": 8, "access": [8, 19], "assign": [8, 57], "submit": 8, "other": [8, 9, 16, 22, 24, 25, 26, 28, 29, 31, 32, 51, 52, 54, 55], "dataset": [8, 14, 17, 18, 19, 20, 21, 22, 28, 30, 31, 38, 39, 43, 46, 47, 48, 54, 56, 58, 60], "report": [8, 21, 47], "format": [8, 9, 13], "figur": 8, "partner": 8, "late": 8, "updat": [8, 26], "cite": 8, "sourc": 8, "python": [9, 10, 11, 13], "note": [9, 13, 15, 31], "about": [9, 13, 25, 26, 28, 29, 39, 51, 52, 54, 55], "thi": [9, 13, 17, 18, 24, 37, 50, 52], "plot": [9, 24, 26, 27, 50, 52], "matplotlib": 9, "numpi": 9, "arrai": 9, "shape": [9, 27, 53], "broadcast": 9, "slowest": 9, "method": [9, 20, 25, 26, 37, 46, 51, 52], "nest": 9, "loop": 9, "faster": 9, "vector": [9, 16, 29, 55], "over": [9, 16, 19, 21], "row": 9, "No": 9, "make": [9, 19, 45], "them": 9, "same": [9, 48], "size": 9, "multipli": 9, "element": 9, "wise": 9, "fastest": 9, "when": [9, 17, 20, 26, 46, 52], "can": [9, 15, 17, 23, 24, 25, 26, 29, 49, 50, 51, 52, 54, 55], "we": [9, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 32, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 54, 55], "us": [9, 13, 14, 15, 16, 17, 18, 21, 22, 23, 24, 25, 26, 28, 29, 30, 33, 34, 36, 44, 48, 49, 50, 51, 52, 54, 55, 56, 57, 59], "introduct": [9, 13, 24, 25, 26, 27, 29, 30, 50, 51, 52, 53, 55, 56], "panda": 9, "seri": [9, 31], "datafram": [9, 18], "index": 9, "notat": 9, "cheatsheet": 9, "break": [9, 13, 14, 15, 16, 17, 18, 25, 28, 29, 30, 32, 44, 46, 54, 55, 56], "5": [9, 13, 14, 15, 16, 17, 18, 21, 24, 25, 26, 28, 29, 30, 32, 37, 43, 44, 46, 50, 52, 54, 55, 56, 58, 60], "min": [9, 13, 14, 15, 16, 17, 18, 21, 24, 25, 26, 28, 29, 30, 32, 44, 46, 50, 51, 52, 54, 55, 56], "read": [9, 14, 20, 30, 56], "from": [9, 25, 33, 51], "csv": 9, "url": 9, "summari": [9, 13, 14, 15, 16, 17, 19, 20, 21, 23, 24, 25, 26, 27, 28, 29, 30, 32, 43, 45, 46, 47, 49, 50, 51, 52, 53, 54, 55, 56], "renam": 9, "column": [9, 17, 18, 31], "df": 9, "ad": 9, "remov": [9, 29, 55], "drop": 9, "sort": 9, "sort_valu": 9, "filter": [9, 28, 54], "queri": [9, 16, 28], "function": [9, 19, 22, 26, 45, 48], "applymap": 9, "refer": [10, 32], "relev": [10, 21, 23, 25, 49, 51], "companion": 10, "resourc": [10, 13, 20, 21, 25, 26, 27, 28, 51], "visual": [10, 20, 27, 29, 34, 53, 55, 58], "onlin": [10, 33], "short": [10, 29, 55], "post": 10, "articl": [10, 29, 55], "list": 10, "misc": 10, "code": [11, 13, 57], "environ": 11, "conda": 11, "maco": 11, "packag": [11, 28, 31, 54], "jupyterlab": 11, "virtual": 11, "why": [11, 13, 18, 20, 24, 25, 26, 28, 29, 30, 46, 50, 51, 54, 55, 56], "debug": 11, "credit": 11, "object": [12, 14, 23, 26, 29, 30, 31, 32, 49, 55, 56, 58], "1": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 32, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 58, 59, 60], "outcom": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 25, 26, 27, 28, 43, 44, 45, 46, 47, 48, 50, 51, 52, 53, 54], "charact": 13, "meet": [13, 57], "eva": [13, 15, 28, 54], "fictiti": 13, "persona": 13, "you": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 31, 38, 46, 49, 51, 53, 54, 55], "all": [13, 14, 17, 19, 21, 26, 27, 52, 53], "attent": [13, 14, 16], "ml": [13, 15, 16, 21, 24, 29, 39, 42, 50, 54, 55], "video": [13, 14, 15, 16, 17, 19, 21, 22, 23, 26, 27, 29, 49, 52, 53, 55], "preval": 13, "save": 13, "scale": [13, 17, 19, 24, 37, 43, 44, 45, 50], "product": [13, 29, 55], "supervis": [13, 14, 15, 16, 26, 28, 52, 54], "type": [13, 15, 21, 22, 24, 26, 28, 29, 31, 32, 47, 48, 52, 54, 55], "exampl": [13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 25, 26, 28, 29, 32, 33, 46, 47, 49, 50, 51, 52, 54, 55], "predict": [13, 14, 18, 19, 23, 24, 28, 30, 32, 45, 49, 50, 54, 58], "whether": 13, "messag": [13, 27, 53], "spam": [13, 18], "input": [13, 26, 27, 29, 52, 53, 55], "featur": [13, 14, 16, 17, 18, 19, 22, 24, 25, 26, 28, 30, 31, 33, 37, 42, 43, 44, 45, 48, 50, 51, 54, 56, 58, 60], "x": [13, 14, 22, 24, 48], "target": [13, 14, 18, 22, 26, 48, 52, 58], "y": [13, 14, 22, 24, 48], "train": [13, 14, 15, 18, 19, 21, 29, 30, 31, 34, 47, 55, 56, 58], "model": [13, 14, 15, 16, 17, 18, 19, 22, 23, 24, 25, 28, 29, 30, 32, 34, 35, 36, 38, 42, 45, 48, 49, 50, 51, 52, 54, 55, 56, 58, 60], "unseen": [13, 15], "data": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 31, 35, 37, 39, 44, 46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58], "popular": 13, "definit": 13, "patient": 13, "ha": 13, "liver": 13, "diseas": 13, "build": [13, 14, 22, 28, 38, 54], "2": [13, 14, 15, 16, 17, 18, 19, 20, 22, 26, 27, 29, 30, 32, 43, 44, 45, 46, 48, 49, 51, 52, 53, 55, 56, 58, 59, 60], "label": [13, 26, 33, 52], "given": [13, 14], "imag": [13, 30, 36, 40, 56], "3": [13, 14, 15, 16, 17, 25, 26, 27, 32, 35, 44, 51, 52, 53, 58, 60], "sentiment": [13, 34], "express": 13, "movi": [13, 28, 54], "review": [13, 38, 42], "4": [13, 14, 15, 16, 36, 52, 58, 60], "hous": [13, 14, 17, 18, 19, 58], "price": [13, 14, 58], "s": [13, 15, 16, 17, 18, 21, 22, 24, 28, 31, 34, 37, 39, 40, 44, 50, 54, 55], "workflow": [13, 15, 21], "iclick": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 30, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 56, 57], "cloud": 13, "join": 13, "http": 13, "com": 13, "snbf": 13, "select": [13, 14, 25, 26, 27, 42, 51, 52, 53], "follow": [13, 14, 15, 26, 27, 35, 52, 53], "statement": [13, 14, 26, 27, 52, 53], "which": [13, 14, 21, 23, 26, 27, 47, 49, 52, 53], "true": [13, 26, 27, 52, 53], "survei": 13, "8": [13, 20, 46, 58], "websit": 13, "registr": [13, 57], "waitlist": 13, "prerequisit": 13, "calendar": 13, "structur": 13, "conduct": [13, 57], "jupyt": 13, "notebook": 13, "style": 13, "comput": [13, 30, 56], "recommend": [13, 17, 28, 43, 54], "browser": 13, "requir": 13, "checklist": 13, "befor": [13, 17], "next": 13, "class": [13, 20, 21, 22, 23, 24, 30, 35, 36, 37, 38, 40, 41, 44, 47, 48, 49, 50, 56, 57], "terminolog": [14, 30, 56, 58], "baselin": [14, 17, 21, 23, 24, 28, 35, 47, 48, 49, 50, 51, 54], "decis": [14, 16, 19, 24, 35, 45, 50, 58], "tree": [14, 23, 24, 35, 49, 50, 58], "plan": [14, 15, 16, 17, 20, 26, 27, 43, 52, 55], "announc": [14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 28, 31, 35, 37, 43, 44, 45, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56], "lo": [14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 28, 30, 31, 35, 37, 54], "big": [14, 15, 17], "pictur": [14, 15, 17], "toi": [14, 18, 21, 28, 29, 47, 54, 55, 58], "recap": [14, 16, 27, 51, 53, 55], "tabular": [14, 16], "altern": [14, 17, 29, 37, 55], "unsupervis": [14, 26, 29, 52, 55], "classif": [14, 21, 28, 30, 33, 34, 36, 39, 47, 54, 56, 59], "regress": [14, 16, 19, 21, 22, 23, 28, 30, 45, 48, 49, 51, 54, 56], "exercis": [14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 29, 30, 43, 44, 45, 46, 47, 48, 49, 51, 55, 56, 58, 59, 60], "remind": 14, "dummyclassifi": [14, 23, 31, 32, 49], "step": [14, 26, 29, 55], "classifi": [14, 19, 23, 25, 37, 38, 45, 49, 58, 59], "sklearn": [14, 17, 18, 20, 21, 23, 24, 26, 29, 37, 43, 44, 46, 49, 50, 52, 55], "creat": [14, 15, 18, 27, 28, 53, 54, 58], "fit": [14, 17, 23, 43, 49, 58], "score": [14, 15, 19, 20, 21, 22, 25, 26, 29, 39, 46, 47, 48, 51, 52, 55, 60], "dummyregressor": [14, 17, 22], "write": 14, "tradit": [14, 31], "program": 14, "quiz2": 14, "algorithm": [14, 16, 25, 26, 27, 51, 52, 53], "decisiontreeclassifi": [14, 23, 49], "some": [14, 20, 21, 23, 25, 28, 29, 37, 46, 49, 51, 54, 55], "doe": [14, 19, 27, 45, 52, 53], "work": [14, 23, 27, 49, 52, 53], "warn": [14, 25, 51], "continu": 14, "problem": [14, 15, 16, 17, 20, 25, 28, 29, 31, 46, 51, 54, 55], "more": [14, 16, 17, 18, 19, 21, 22, 25, 27, 28, 31, 45, 47, 48, 51, 53, 54], "paramet": [14, 19, 20, 21, 46], "max_depth": 14, "hyperparamet": [14, 16, 18, 19, 20, 22, 23, 26, 27, 42, 45, 46, 48, 49, 52, 53], "boundari": [14, 16, 19, 45], "quiz": 14, "countri": 14, "longitud": 14, "latitud": 14, "real": 14, "between": [14, 16, 29, 34, 55], "canada": 14, "usa": 14, "practic": [14, 16], "final": [14, 20, 26, 27, 28, 31, 46, 52, 53, 54, 57], "comment": [14, 20, 21, 22, 26, 27, 28, 46, 47, 48, 52, 53, 54], "reflect": [14, 15, 26, 27, 52, 53], "fundament": [15, 16, 23, 42, 49], "motiv": [15, 16, 17, 19, 20, 21, 23, 24, 25, 26, 27, 28, 29, 31, 43, 46, 50, 51, 53, 54, 55], "complex": [15, 26], "error": [15, 20, 21, 22, 28, 46, 47, 48, 54], "goal": [15, 29, 55], "split": [15, 17, 21, 28, 31, 35, 37, 47, 54], "approxim": 15, "simpl": [15, 25, 51], "train_df": 15, "test_df": 15, "test_siz": 15, "train_siz": 15, "argument": [15, 16], "random_st": 15, "valid": [15, 17, 20, 21, 28, 31, 35, 43, 44, 46, 47, 54], "deploy": 15, "cross": [15, 17, 21, 25, 28, 31, 35, 43, 44, 47, 51, 54], "singl": [15, 27, 35, 53], "rescu": 15, "scikit": [15, 17, 18, 22, 44, 48], "cross_val_scor": 15, "cross_valid": [15, 22, 48], "our": [15, 17, 24, 25, 32, 34, 50, 51], "typic": [15, 29, 55], "underfit": 15, "overfit": [15, 20, 46], "trade": [15, 16, 23, 49], "off": [15, 16, 23, 49], "golden": [15, 17, 18, 43], "rule": [15, 17, 18, 43], "tradeoff": [15, 21, 23, 47, 49], "bia": [15, 20, 46], "varianc": 15, "pick": [15, 20, 46], "would": [15, 54], "better": [15, 20, 21, 25, 26, 51, 52], "name": [15, 22, 28, 29, 54, 55], "violat": 15, "avoid": 15, "here": 15, "ll": 15, "did": [15, 17, 18, 21, 22, 28, 32, 44, 47, 48, 54], "todai": [15, 17, 18, 21, 22, 44, 47, 48, 55], "come": [15, 16], "k": [16, 17, 26, 27, 28, 52, 53, 54, 59], "nearest": [16, 17, 26, 28, 52, 54], "neighbour": [16, 17, 28, 54], "svm": [16, 19, 36, 45, 59], "rbf": [16, 36, 59], "quick": 16, "distanc": [16, 26, 52, 53, 55], "analog": 16, "base": [16, 23, 25, 28, 31, 49, 51, 54], "idea": [16, 21, 23, 25, 26, 27, 28, 47, 49, 51, 52, 53, 54], "geometr": 16, "view": [16, 18, 29, 55], "dimens": 16, "similar": [16, 29, 34, 55], "euclidean": [16, 55], "find": [16, 25, 26, 28, 29, 52, 55], "point": [16, 21, 24, 26, 31, 47, 50, 52], "nn": 16, "choos": [16, 26, 52], "n_neighbor": 16, "kneighborsclassifi": [16, 36], "pro": [16, 27, 42, 53], "con": [16, 27, 42, 53], "option": [16, 17, 20, 21, 23, 25, 26, 28, 34, 43, 46, 49, 51, 52, 54, 58], "parametr": [16, 45], "non": [16, 18, 24, 45, 50], "curs": 16, "dimension": 16, "support": 16, "kernel": 16, "overview": [16, 21, 29, 55], "let": [16, 17, 18, 21, 22, 24, 28, 37, 39, 40, 54], "explor": [16, 26, 39, 48, 52, 53], "gamma": 16, "c": [16, 20], "search": [16, 20, 25, 29, 46, 51, 55], "multipl": [16, 18, 22, 48], "regressor": 16, "preprocess": [17, 18, 22, 29, 31, 42, 43, 44, 48, 55, 60], "pipelin": [17, 29, 43, 44, 55], "spotifi": [17, 20, 46, 60], "standardscal": 17, "transform": [17, 18, 22, 25, 43, 44, 48, 51, 60], "paradigm": [17, 43], "api": [17, 43], "estim": [17, 23, 43, 49], "common": [17, 26, 33, 43, 52], "techniqu": [17, 21, 43], "imput": [17, 28, 43, 54], "ok": [17, 18], "do": [17, 18, 20, 21, 23, 24, 25, 26, 28, 29, 43, 46, 49, 50, 51, 52, 54, 55], "thing": [17, 29, 55], "eda": [17, 21, 22, 37, 47, 48], "need": [17, 20, 28, 29, 43, 46, 54, 55], "first": 17, "run": 17, "carri": [17, 25, 43, 51], "out": [17, 25, 30, 43, 51, 56], "compact": 17, "syntax": [17, 18, 20], "make_pipelin": 17, "try": [17, 22, 37], "categor": [17, 18, 24, 31, 37, 43, 50, 60], "encod": [17, 18, 25, 29, 31, 42, 43, 44, 51, 55], "occasion": [17, 43], "One": [17, 29, 30, 31, 42, 43, 55, 56], "hot": [17, 25, 29, 31, 42, 43, 51, 55], "oh": [17, 18, 42, 43], "differ": [17, 20, 21, 22, 24, 42, 47, 48, 50], "6": [18, 20, 37, 44, 45, 58], "columntransform": [18, 44], "text": [18, 25, 29, 33, 37, 44, 51, 55, 60], "identifi": [18, 24, 33], "want": [18, 24, 32, 50, 54], "conveni": 18, "make_column_transform": 18, "examin": [18, 22, 28, 34, 38, 48, 54], "set_config": 18, "incorpor": [18, 37, 60], "class_attend": 18, "than": [18, 20, 25, 46, 51], "one": [18, 25, 29, 51, 55], "deal": [18, 21], "unknown": 18, "categori": [18, 60], "case": [18, 19, 27, 53], "where": [18, 32], "onli": [18, 32, 60], "two": [18, 27, 53], "possibl": [18, 22, 25, 26, 29, 51, 52, 55], "california": [18, 19, 58], "mani": [18, 20, 29, 46, 55], "actual": 18, "certain": 18, "bag": [18, 25, 33, 34, 44, 51], "word": [18, 25, 29, 33, 34, 44, 51, 55], "bow": [18, 44], "represent": [18, 29, 30, 34, 44, 55, 56], "extract": [18, 29, 31, 44, 55], "spars": [18, 29, 55], "matric": 18, "onehotencod": 18, "countvector": 18, "Is": [18, 21, 25, 47, 51], "realist": 18, "7": [19, 38, 45, 46, 58], "linear": [19, 22, 24, 38, 45, 50, 51], "exactli": 19, "ridg": [19, 22, 45, 48, 51], "alpha": [19, 22, 45, 48], "coeffici": [19, 24, 38, 45, 50], "intercept": 19, "interpret": [19, 24, 29, 38, 45, 50, 55], "sign": [19, 45], "magnitud": 19, "logist": [19, 21, 30, 45, 51, 56], "intuit": [19, 45], "associ": 19, "weight": [19, 21], "compon": [19, 45], "citi": 19, "raw": 19, "main": [19, 26, 27, 28, 45, 52, 53, 54], "probabl": [19, 20, 45], "predict_proba": [19, 45], "calcul": [19, 45, 58, 59], "sigmoid": [19, 45], "least": 19, "confid": 19, "most": [19, 38], "strength": [19, 23, 49], "optim": [20, 42, 46, 59], "wai": [20, 25, 29, 46, 51, 55], "manual": [20, 46], "autom": [20, 46], "exhaust": [20, 46], "grid": [20, 46], "model_select": [20, 46], "gridsearchcv": [20, 22, 46, 48], "n_job": 20, "__": 20, "rang": 20, "heatmap": 20, "bad": [20, 26, 44, 52], "yield": 20, "result": 20, "random": [20, 23, 24, 30, 46, 49, 50, 56], "n_iter": [20, 46], "pass": 20, "distribut": [20, 29, 34, 55], "advantag": [20, 28, 46, 54], "randomizedsearchcv": [20, 22, 46, 48], "success": [20, 29, 46, 55], "halv": [20, 46], "fancier": [20, 46], "discuss": [20, 21, 29, 35, 37, 39, 44, 55, 58], "hyper": [20, 46], "much": [20, 46], "lower": [20, 46], "cv": [20, 46], "larg": [20, 46], "solv": [20, 46], "9": [21, 47], "metric": [21, 22, 39, 42, 47, 48], "evalu": [21, 27, 28, 32, 42, 53, 54], "binari": 21, "demonstr": [21, 39, 47], "observ": [21, 27, 53], "confus": [21, 47], "matrix": [21, 28, 29, 47, 54, 55], "posit": [21, 38, 47], "neg": [21, 38, 47], "precis": [21, 39, 47], "recal": [21, 47], "f1": [21, 39, 47], "macro": 21, "averag": [21, 23, 27, 28, 29, 34, 39, 49, 53, 54, 55], "interim": [21, 24, 25, 47, 50, 51], "evalut": 21, "multi": [21, 30, 56], "curv": [21, 32, 39, 47], "oper": [21, 47], "decreas": 21, "threshold": 21, "increas": 21, "ap": [21, 47], "few": [21, 27, 47, 53], "pr": [21, 39, 47], "detail": [21, 22, 27, 48, 53], "svc": [21, 46], "receiv": [21, 47], "characterist": [21, 47], "roc": [21, 39, 47], "area": [21, 47], "under": [21, 47], "auc": [21, 47], "look": [21, 26, 39, 52], "onc": 21, "imbal": [21, 22, 23, 24, 47, 48, 49, 50], "address": [21, 47], "handl": [21, 47], "chang": [21, 47], "procedur": [21, 47], "class_weight": [21, 39, 47], "logisticregress": [21, 31, 32, 47], "balanc": [21, 47], "stratifi": [21, 47], "good": [21, 28, 33, 47, 54], "undersampl": 21, "oversampl": 21, "smote": 21, "synthet": 21, "minor": 21, "sampl": [21, 23, 26, 49, 52], "fair": [21, 39], "activ": [21, 24, 25, 26, 29, 35, 39, 50, 51, 52, 55], "group": [21, 26, 35, 39, 52], "paper": [21, 23, 49], "10": [22, 48, 49], "tackl": [22, 48], "separ": [22, 24, 44, 48, 58], "pandas_profil": 22, "tune": [22, 26, 46, 48, 52], "ridgecv": [22, 48], "mean": [22, 26, 27, 29, 48, 52, 53, 55], "squar": [22, 48], "mse": [22, 48], "root": [22, 48], "rmse": [22, 48], "r": [22, 48], "mape": [22, 48], "11": [23, 49], "ensembl": [23, 42, 49], "0": 23, "netflix": [23, 28, 54], "prize": [23, 28, 54], "have": [23, 24, 49, 50], "forest": [23, 24, 49, 50], "randomforestclassifi": [23, 32, 49], "thei": [23, 49], "inject": [23, 49], "construct": [23, 49], "an": [23, 25, 28, 33, 49, 51, 54], "bootstrap": [23, 49], "number": [23, 26, 31, 49, 52], "n_estim": [23, 49], "weak": [23, 49], "gradient": [23, 26, 49], "boost": [23, 49], "xgboost": [23, 49], "lightgbm": [23, 49], "catboost": [23, 49], "should": [23, 28, 49, 54], "i": [23, 49], "kind": [23, 28, 49, 54], "combin": [23, 44, 49], "stack": [23, 49], "effect": [23, 27, 49, 53], "strategi": [23, 30, 49, 56], "12": [24, 50], "transpar": [24, 50], "simplefeatur": [24, 50], "correl": [24, 50], "numer": [24, 25, 50, 51, 60], "show": [24, 50], "explain": [24, 50], "beyond": [24, 28, 50, 54], "feature_importances_": [24, 50], "permutation_import": [24, 50], "kei": [24, 50], "get": [24, 48, 50], "shap": [24, 50], "shaplei": [24, 50], "addit": [24, 50], "explan": [24, 50], "focu": [24, 50], "lgbm": [24, 50], "forc": [24, 50], "global": [24, 28, 50, 54], "depend": [24, 25, 29, 50, 51, 55], "tool": [24, 29, 55], "inform": [24, 31, 50], "13": [25, 51], "engin": [25, 26, 31, 33, 51], "garbag": [25, 51], "measur": [25, 51], "qualiti": [25, 51], "quot": [25, 51], "usual": [25, 51], "best": [25, 51], "mai": [25, 51], "domain": [25, 51], "interact": [25, 51], "demo": [25, 31, 35, 36, 37, 38, 40, 41, 51], "dummi": [25, 36, 37, 59, 60], "further": [25, 31, 51], "improv": [25, 51], "spaci": [25, 29, 34, 51, 55], "project": [25, 28, 33, 51, 54], "recurs": [25, 51], "elimin": [25, 51], "rfe": [25, 51], "forward": [25, 51], "backward": [25, 51], "clearli": [25, 51], "defin": [25, 51, 53, 58], "advic": [25, 28, 54], "14": [26, 40, 42, 52], "cluster": [26, 27, 40, 41, 52, 53], "midterm": [26, 42, 52, 57], "poll": [26, 52], "without": [26, 52], "unlabel": [26, 52], "output": [26, 27, 29, 52, 53, 55], "correct": [26, 52], "applic": [26, 29, 52, 54, 55], "custom": [26, 32, 52], "segment": [26, 29, 52, 55], "initi": [26, 52], "iter": [26, 52], "process": [26, 29, 52, 55], "closest": [26, 52], "center": [26, 52], "stop": [26, 52], "descent": 26, "elbow": [26, 52], "inertia": 26, "silhouett": [26, 52], "intra": [26, 52], "b": [26, 34, 52], "rememb": [26, 52], "15": [27, 41, 53], "failur": [27, 53], "dbscan": [27, 41, 53], "ep": [27, 53], "min_sampl": [27, 53], "illustr": [27, 53], "hierarch": [27, 41, 53], "dendrogram": [27, 53], "flat": [27, 53], "linkag": [27, 53], "complet": [27, 28, 53, 54], "ward": [27, 53], "truncat": [27, 53], "take": [27, 53, 54], "home": [27, 53], "16": [28, 54], "system": [28, 54], "care": [28, 29, 54, 55], "capston": [28, 54], "qxmd": [28, 54], "approach": [28, 30, 31, 32, 54, 56], "formul": [28, 54], "util": [28, 54], "sparsiti": [28, 54], "jester": [28, 54], "7m": [28, 54], "joke": [28, 54], "rate": [28, 54], "stat": [28, 54], "neighbor": 28, "collabor": [28, 54], "surpris": [28, 54], "content": [28, 54], "item": 28, "overal": [28, 29, 54, 55], "pat": [28, 54], "profil": [28, 54], "disadvantag": [28, 54], "hybrid": [28, 54], "cover": [28, 32, 54], "issu": [28, 54], "thought": [28, 54], "my": [28, 54], "17": 29, "natur": [29, 55], "languag": [29, 55], "nlp": [29, 55], "often": [29, 55], "everydai": [29, 55], "new": [29, 55], "hard": [29, 55], "lexic": [29, 55], "ambigu": [29, 55], "referenti": [29, 55], "headlin": [29, 55], "embed": [29, 34, 55], "dot": [29, 55], "cosin": [29, 55], "brainstorm": [29, 55], "repres": [29, 34, 55], "simplest": [29, 55], "vocabulari": [29, 38, 55], "captur": [29, 55], "relationship": [29, 55], "hypothesi": [29, 55], "term": [29, 33, 55], "occurr": [29, 55], "dens": [29, 55], "pre": [29, 30, 55, 56], "word2vec": [29, 55], "vada": 29, "pav": 29, "semant": [29, 55], "syntact": [29, 55], "implicit": [29, 55], "bias": [29, 55], "stereotyp": [29, 55], "topic": [29, 34, 55], "corpu": [29, 55], "food": [29, 55], "magazin": [29, 55], "scientif": [29, 55], "lda": [29, 34, 55], "yale": [29, 55], "law": [29, 55], "journal": [29, 55], "social": [29, 55], "media": [29, 55], "basic": [29, 55], "token": [29, 55], "sentenc": [29, 34, 55], "commonli": [29, 55], "punctuat": [29, 55], "stopword": [29, 55], "lemmat": [29, 55], "stem": [29, 55], "task": [29, 55], "entiti": [29, 55], "pars": [29, 31, 55], "18": [30, 55, 56], "vision": [30, 56], "19": [30, 31, 56], "meta": [30, 56], "rest": [30, 56], "ovr": 30, "ovo": 30, "wrapper": 30, "neural": [30, 56], "network": [30, 56], "deep": [30, 31, 56], "flatten": [30, 56], "transfer": [30, 56], "imagenet": [30, 56], "box": [30, 56], "extractor": [30, 56], "cool": [30, 56], "stuff": [30, 56], "tempor": 31, "posix": 31, "dai": 31, "lag": 31, "forecast": 31, "futur": 31, "retail": 31, "season": 31, "trend": 31, "complic": 31, "exploratori": [31, 35], "analysi": [31, 32, 34, 35, 53], "datetim": 31, "month": 31, "remark": 31, "involv": 31, "unequ": 31, "space": 31, "20": 32, "surviv": 32, "churn": 32, "standard": 32, "censor": 32, "event": 32, "consid": 32, "ye": 32, "assum": 32, "everyon": 32, "right": 32, "now": 32, "might": 32, "answer": 32, "kaplan": 32, "meier": 32, "cox": 32, "proport": 32, "hazard": 32, "appendix": [33, 34], "person": 33, "e": 33, "mail": 33, "behind": 33, "gmail": 33, "prioriti": 33, "inbox": 33, "automat": 33, "convers": 33, "weigh": 33, "tf": 33, "idf": 33, "n": 33, "gram": 33, "asid": 33, "googl": 33, "viewer": 33, "part": 33, "speech": 33, "po": 33, "english": 33, "penn": 33, "treebank": 33, "tag": 33, "bonu": 33, "airlin": 34, "advanc": 34, "gensim": 34, "doc2bow": 34, "assess": 35, "knn": [36, 37, 59], "simpleimput": 37, "ponder": [38, 59], "load": 39, "compar": 39, "clean": 39, "face": 41, "guid": 42, "warmup": 43, "mistak": 44, "methodolog": 44, "togeth": 44, "alreadi": 44, "log": 48, "l2": 51, "penalti": 51, "lasso": 51, "l1": 51, "cell": [52, 53], "tumour": 52, "mutat": 52, "cancer": [52, 53], "genom": 52, "everyth": 52, "after": 52, "gaussian": 52, "mixtur": 52, "high": 52, "level": 52, "hdbscan": 53, "lymphoma": 53, "4th": 54, "year": 54, "biologi": 54, "miss": 54, "modellin": 55, "outsid": 55, "syllabu": 57, "descript": 57, "scheme": 57, "ai": 57, "exam": 57, "academ": 57, "concess": 57, "worksheet": [58, 59, 60], "stump": 58, "hand": 58, "depth": 58, "accuraci": 58, "offer": 58, "playground": [58, 59], "sunni": 58, "alien": 59, "zoo": 59, "adventur": 59, "footstep": 59, "shuffl": 59, "whistl": 59, "paus": 59, "iri": 59, "flower": 59, "passthrough": 60}, "envversion": {"sphinx.domains.c": 2, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 6, "sphinx.domains.index": 1, "sphinx.domains.javascript": 2, "sphinx.domains.math": 2, "sphinx.domains.python": 3, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1, "sphinxcontrib.bibtex": 9, "sphinx": 56}})
\ No newline at end of file