benchmark_model.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "from __future__ import print_function\n",
    "from __future__ import division\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "from matplotlib import pyplot as plt\n",
    "plt.rcParams[\"figure.figsize\"] = (50,50)\n",
    "import seaborn as sns\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "import statsmodels.api as sm\n",
    "\n",
    "# just for the sake of this blog post!\n",
    "from warnings import filterwarnings\n",
    "filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['total_cases']\n"
     ]
    }
   ],
   "source": [
    "# load the provided data\n",
    "train_features = pd.read_csv('data/dengue_features_train.csv',\n",
    "                             index_col=[0,1,2])\n",
    "\n",
    "#train_features.describe()\n",
    "\n",
    "\n",
    "train_labels = pd.read_csv('data/dengue_labels_train.csv', index_col=[0,1,2])\n",
    "print (list(train_labels))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Seperate data for San Juan\n",
    "sj_train_features = train_features.loc['sj']\n",
    "sj_train_labels = train_labels.loc['sj']\n",
    "\n",
    "# Separate data for Iquitos\n",
    "iq_train_features = train_features.loc['iq']\n",
    "iq_train_labels = train_labels.loc['iq']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "print('San Juan')\n",
    "print('features: ', sj_train_features.shape)\n",
    "print('labels  : ', sj_train_labels.shape)\n",
    "\n",
    "print('\\nIquitos')\n",
    "print('features: ', iq_train_features.shape)\n",
    "print('labels  : ', iq_train_labels.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The [problem description](https://www.drivendata.org/competitions/44/page/82/) gives a good overview of the available variables, but we'll look at the head of the data here as well:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>week_start_date</th>\n",
       "      <th>ndvi_ne</th>\n",
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       "      <th>reanalysis_max_air_temp_k</th>\n",
       "      <th>...</th>\n",
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       "      <th>reanalysis_relative_humidity_percent</th>\n",
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       "      <th>reanalysis_specific_humidity_g_per_kg</th>\n",
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       "      <th>year</th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
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       "  <tbody>\n",
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       "      <th rowspan=\"5\" valign=\"top\">1990</th>\n",
       "      <th>18</th>\n",
       "      <td>1990-04-30</td>\n",
       "      <td>0.122600</td>\n",
       "      <td>0.103725</td>\n",
       "      <td>0.198483</td>\n",
       "      <td>0.177617</td>\n",
       "      <td>12.42</td>\n",
       "      <td>297.572857</td>\n",
       "      <td>297.742857</td>\n",
       "      <td>292.414286</td>\n",
       "      <td>299.8</td>\n",
       "      <td>...</td>\n",
       "      <td>32.00</td>\n",
       "      <td>73.365714</td>\n",
       "      <td>12.42</td>\n",
       "      <td>14.012857</td>\n",
       "      <td>2.628571</td>\n",
       "      <td>25.442857</td>\n",
       "      <td>6.900000</td>\n",
       "      <td>29.4</td>\n",
       "      <td>20.0</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1990-05-07</td>\n",
       "      <td>0.169900</td>\n",
       "      <td>0.142175</td>\n",
       "      <td>0.162357</td>\n",
       "      <td>0.155486</td>\n",
       "      <td>22.82</td>\n",
       "      <td>298.211429</td>\n",
       "      <td>298.442857</td>\n",
       "      <td>293.951429</td>\n",
       "      <td>300.9</td>\n",
       "      <td>...</td>\n",
       "      <td>17.94</td>\n",
       "      <td>77.368571</td>\n",
       "      <td>22.82</td>\n",
       "      <td>15.372857</td>\n",
       "      <td>2.371429</td>\n",
       "      <td>26.714286</td>\n",
       "      <td>6.371429</td>\n",
       "      <td>31.7</td>\n",
       "      <td>22.2</td>\n",
       "      <td>8.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1990-05-14</td>\n",
       "      <td>0.032250</td>\n",
       "      <td>0.172967</td>\n",
       "      <td>0.157200</td>\n",
       "      <td>0.170843</td>\n",
       "      <td>34.54</td>\n",
       "      <td>298.781429</td>\n",
       "      <td>298.878571</td>\n",
       "      <td>295.434286</td>\n",
       "      <td>300.5</td>\n",
       "      <td>...</td>\n",
       "      <td>26.10</td>\n",
       "      <td>82.052857</td>\n",
       "      <td>34.54</td>\n",
       "      <td>16.848571</td>\n",
       "      <td>2.300000</td>\n",
       "      <td>26.714286</td>\n",
       "      <td>6.485714</td>\n",
       "      <td>32.2</td>\n",
       "      <td>22.8</td>\n",
       "      <td>41.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1990-05-21</td>\n",
       "      <td>0.128633</td>\n",
       "      <td>0.245067</td>\n",
       "      <td>0.227557</td>\n",
       "      <td>0.235886</td>\n",
       "      <td>15.36</td>\n",
       "      <td>298.987143</td>\n",
       "      <td>299.228571</td>\n",
       "      <td>295.310000</td>\n",
       "      <td>301.4</td>\n",
       "      <td>...</td>\n",
       "      <td>13.90</td>\n",
       "      <td>80.337143</td>\n",
       "      <td>15.36</td>\n",
       "      <td>16.672857</td>\n",
       "      <td>2.428571</td>\n",
       "      <td>27.471429</td>\n",
       "      <td>6.771429</td>\n",
       "      <td>33.3</td>\n",
       "      <td>23.3</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1990-05-28</td>\n",
       "      <td>0.196200</td>\n",
       "      <td>0.262200</td>\n",
       "      <td>0.251200</td>\n",
       "      <td>0.247340</td>\n",
       "      <td>7.52</td>\n",
       "      <td>299.518571</td>\n",
       "      <td>299.664286</td>\n",
       "      <td>295.821429</td>\n",
       "      <td>301.9</td>\n",
       "      <td>...</td>\n",
       "      <td>12.20</td>\n",
       "      <td>80.460000</td>\n",
       "      <td>7.52</td>\n",
       "      <td>17.210000</td>\n",
       "      <td>3.014286</td>\n",
       "      <td>28.942857</td>\n",
       "      <td>9.371429</td>\n",
       "      <td>35.0</td>\n",
       "      <td>23.9</td>\n",
       "      <td>5.8</td>\n",
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>week_start_date</th>\n",
       "      <th>ndvi_ne</th>\n",
       "      <th>ndvi_nw</th>\n",
       "      <th>ndvi_se</th>\n",
       "      <th>ndvi_sw</th>\n",
       "      <th>precipitation_amt_mm</th>\n",
       "      <th>reanalysis_air_temp_k</th>\n",
       "      <th>reanalysis_avg_temp_k</th>\n",
       "      <th>reanalysis_dew_point_temp_k</th>\n",
       "      <th>reanalysis_max_air_temp_k</th>\n",
       "      <th>...</th>\n",
       "      <th>reanalysis_precip_amt_kg_per_m2</th>\n",
       "      <th>reanalysis_relative_humidity_percent</th>\n",
       "      <th>reanalysis_sat_precip_amt_mm</th>\n",
       "      <th>reanalysis_specific_humidity_g_per_kg</th>\n",
       "      <th>reanalysis_tdtr_k</th>\n",
       "      <th>station_avg_temp_c</th>\n",
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       "      <th>year</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  <tbody>\n",
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       "      <th rowspan=\"5\" valign=\"top\">1990</th>\n",
       "      <th>18</th>\n",
       "      <td>1990-04-30</td>\n",
       "      <td>0.122600</td>\n",
       "      <td>0.103725</td>\n",
       "      <td>0.198483</td>\n",
       "      <td>0.177617</td>\n",
       "      <td>12.42</td>\n",
       "      <td>297.572857</td>\n",
       "      <td>297.742857</td>\n",
       "      <td>292.414286</td>\n",
       "      <td>299.8</td>\n",
       "      <td>...</td>\n",
       "      <td>32.00</td>\n",
       "      <td>73.365714</td>\n",
       "      <td>12.42</td>\n",
       "      <td>14.012857</td>\n",
       "      <td>2.628571</td>\n",
       "      <td>25.442857</td>\n",
       "      <td>6.900000</td>\n",
       "      <td>29.4</td>\n",
       "      <td>20.0</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1990-05-07</td>\n",
       "      <td>0.169900</td>\n",
       "      <td>0.142175</td>\n",
       "      <td>0.162357</td>\n",
       "      <td>0.155486</td>\n",
       "      <td>22.82</td>\n",
       "      <td>298.211429</td>\n",
       "      <td>298.442857</td>\n",
       "      <td>293.951429</td>\n",
       "      <td>300.9</td>\n",
       "      <td>...</td>\n",
       "      <td>17.94</td>\n",
       "      <td>77.368571</td>\n",
       "      <td>22.82</td>\n",
       "      <td>15.372857</td>\n",
       "      <td>2.371429</td>\n",
       "      <td>26.714286</td>\n",
       "      <td>6.371429</td>\n",
       "      <td>31.7</td>\n",
       "      <td>22.2</td>\n",
       "      <td>8.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1990-05-14</td>\n",
       "      <td>0.032250</td>\n",
       "      <td>0.172967</td>\n",
       "      <td>0.157200</td>\n",
       "      <td>0.170843</td>\n",
       "      <td>34.54</td>\n",
       "      <td>298.781429</td>\n",
       "      <td>298.878571</td>\n",
       "      <td>295.434286</td>\n",
       "      <td>300.5</td>\n",
       "      <td>...</td>\n",
       "      <td>26.10</td>\n",
       "      <td>82.052857</td>\n",
       "      <td>34.54</td>\n",
       "      <td>16.848571</td>\n",
       "      <td>2.300000</td>\n",
       "      <td>26.714286</td>\n",
       "      <td>6.485714</td>\n",
       "      <td>32.2</td>\n",
       "      <td>22.8</td>\n",
       "      <td>41.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1990-05-21</td>\n",
       "      <td>0.128633</td>\n",
       "      <td>0.245067</td>\n",
       "      <td>0.227557</td>\n",
       "      <td>0.235886</td>\n",
       "      <td>15.36</td>\n",
       "      <td>298.987143</td>\n",
       "      <td>299.228571</td>\n",
       "      <td>295.310000</td>\n",
       "      <td>301.4</td>\n",
       "      <td>...</td>\n",
       "      <td>13.90</td>\n",
       "      <td>80.337143</td>\n",
       "      <td>15.36</td>\n",
       "      <td>16.672857</td>\n",
       "      <td>2.428571</td>\n",
       "      <td>27.471429</td>\n",
       "      <td>6.771429</td>\n",
       "      <td>33.3</td>\n",
       "      <td>23.3</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1990-05-28</td>\n",
       "      <td>0.196200</td>\n",
       "      <td>0.262200</td>\n",
       "      <td>0.251200</td>\n",
       "      <td>0.247340</td>\n",
       "      <td>7.52</td>\n",
       "      <td>299.518571</td>\n",
       "      <td>299.664286</td>\n",
       "      <td>295.821429</td>\n",
       "      <td>301.9</td>\n",
       "      <td>...</td>\n",
       "      <td>12.20</td>\n",
       "      <td>80.460000</td>\n",
       "      <td>7.52</td>\n",
       "      <td>17.210000</td>\n",
       "      <td>3.014286</td>\n",
       "      <td>28.942857</td>\n",
       "      <td>9.371429</td>\n",
       "      <td>35.0</td>\n",
       "      <td>23.9</td>\n",
       "      <td>5.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sj_train_features.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are _a lot_ of climate variables here, but the first thing that we'll note is that the `week_start_date` is included in the feature set. This makes it easier for competitors to create time based features, but for this first-pass model, we'll drop that column since we shouldn't use it as a feature in our model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Remove `week_start_date` string.\n",
    "sj_train_features.drop('week_start_date', axis=1, inplace=True)\n",
    "iq_train_features.drop('week_start_date', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, let's check to see if we are missing any values in this dataset:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Null check\n",
    "pd.isnull(sj_train_features).any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4585361cf8>"
      ]
     },
     "execution_count": 0,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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ASUkJM2bMIDo6Gjs7OxISEi6577hx43jllVd4/fXXWb58OVOmTAHOT0p+8sknmThxImPHjr0kcOzt7c2CBQv49ddfGTt2bJXTkS/o3r07JpMJAEdHR4YNG4aNjQ0mk6mi1+zsbB544AESExOxsbGhpOT8HydbW1uCg4NxdnbmkUceqXguVamuxu/5+flZFPLdvHkz33zzDYsWLQKgsLCQ48ePA+Dr60uzZs1o1qwZLVq0qPg8TCYTMTExFTUCAgIAuO2228jJySErK4uWLVtWeb+QkBBuueUWvv76a+rXr1/jPkVERERERERERERERERERERERESqYxjlxB9+gdTUNXTp/BA9ez6LjY2NxXXKi8s4s+IAxck57E3fTO/JQ6nf0P4qdCzXC01I/hM1adIEOD8Kffjw4URHRxMdHU1cXBzLli2jsLCQwMBAQkNDOXDgANOnT6ewsLBif8OGDQGws7OjtLQUgDfffJMOHTqwf/9+IiMjKS4uvuS+jRs3Zvjw4WzYsIG1a9cyYcIEAObMmcMnn3xCQUEBXl5exMfHV9o3YcIEvvnmGxo1asSIESPYsmVLtWe70BucDxhfeG1ra1vR64svvoivry+xsbF8++23lc6WmJhI06ZNSU1NvewzvFyNi1141jVlGAbr1q2r+EyOHz+Og4NDjc8GXPJH+3J/xJ2cnEhJSeHXX3+1qE8RERERERERERERERERERERERGRqhhGGYcOzSE1dQ3duj5mfRi5qJS0T2IoTs4hIv07HB4aQb/bhl6FjuV6okByHfDy8mLHjh0cOXIEgPz8fBISEirCtW3btiUvL4/Q0NAr1srOzqZjx47Y2toSEhJCWVlZleumTZtGUFAQHh4etG7dGoCkpCRMJhOzZ8/G3d39kkDy0aNH6dGjB0FBQfj5+VWaBmyN7Oxsbr75ZgCCg4MrXZ85cyY//fQTGRkZlz13dTUs1axZM3JzcytejxgxgnfeeQfDMACIioqyuOaaNWsA2L59Oy1atKBFixbVrnV1deXDDz/Ez8/viiFsERERERERERERERERERERERERkcspLy/lYNzTnPptHd27z6RHj6esCyMXlJL20X6Kj+fwS/omnB/xo4/34KvQsVxvFEiuA+3atSM4OJiAgACcnZ0rphO3bNmS6dOnYzKZuPvuu/Hw8LhircDAQFauXImXlxcJCQnVTgbu378/zZs3Z+rUqRXXlixZgpOTEy4uLjRq1IiRI0dW2rNmzRqcnJwwm83Ex8czefLkP3Tuf/3rXzz77LP4+PhUCk7PmjWLwMBAevfuzbJly5gzZw5paWkW1bCUr68vcXFxmM1m1qxZw4svvkhJSQnOzs44OTnx4osvWlyzVatWDBw4kEcffZRly5Zdcf2gQYNYtGgRo0aNIj093ZpjiIiIiIiIiIiIiIiIiIiIiIiIyA2uvLyEg3GzOH36G27t8TQ9ugdZFUYuO1fC6Q+jKP41l93pG+n/+Dh6eXhfhY7lemRzYSLs9cLd3d2IjIysdO3QoUM4ODjUUUd/DampqQwZMoT4+HhsbZVDr21Dhgxh0aJFuLu713Ur1wT9JkVERERERERERERERERERERERP648vIiDsQGkZ4eTq+ez9Gly0NW1SnLK+b0h9GUpOWzO/NbvIIm0dVkruVu5VpkY2Oz1zCMK4YjlUy9AaxatQpPT08WLFigMLKIiIiIiIiIiIiIiIiIiIiIiIjIdaCsrIiYA4Gkp4fTu/dL1oeRc4o4/X4UJWnn2Jn5DT5PTlUYWSxWr64bkKtv8uTJTJ48+Q/XycjIYNiwYZdc//HHH2nTps0frn+xFStW8NZbb1W65uPjw3vvvWdRne+//57Zs2dXuta9e3fWr1//h3u82LZt2y65VltnEBEREREREREREREREREREREREblYWVkBMTGPknl2O337/Jubbw6wqk5pVhGnl0ZRcjafXWe/5W/PPEKn3n1ruVu5EdgYhlHXPdQqd3d3IzIystK1Q4cO4eDgUEcdicjv6TcpIiIiIiIiIiIiIiIiIiIiIiJindLSc+yPmTncLREAACAASURBVE5WVgQOfV+jUyd/6+pkFnJ6aRTF2fnsyt7IsH89TocePWu5W7nW2djY7DUMw/1K6zQhWURERERERERERERERERERERERETkGlBamkv0/ofIzo7Csd8b3HTTXVbVKTmTz+ml0RTnnmN37iaGP/cE7bp0q91m5YaiQLKIiIiIiIiIiIiIiIiIiIiIiIiIyF9cSUkO0funkpt7ACent+jQ/k7r6pw+x+kPoynKO8cveWGMeOEp2tzcuZa7lRuNAskiIiIiIiIiIiIiIiIiIiIiIiIiIn9hJSVZREU/QF7eYUxO79Ku3e1W1SlOzSPto2gKzuWxp/B77pw7m5Y3dazlbuVGpECyiIiIiIiIiIiIiIiIiIiIiIiIiMhfVHFxBlHRD5Cfn4Sz6QPatvW1rs6JXNI+3k9+QQ6RxT8weu6zNG/Xvpa7lRuVbV03IFdHSkoKTk5OFu9LTU3F39//KnQE33zzDa+99lqt1hw4cGCN12ZlZfH+++/X6v1ratu2bYwePbpO7i0iIiIiIiIiIiIiIiIiIiIiIiLXpqKiM+yLmkh+/lGcTR9ZHUYuOpbD6Y+iOZefxd7ScMa89LzCyFKrbrgJyS8m/kpsXkGt1nRq2ohXet1S4/WGYWAYBra2f708eKdOnQgNDb0qtf38/PDz86vVmjt37rzkWllZGXZ2dpdcvxBIDgwMrNUeRERERERERERERERERERERERERGpbYdFvREVNorDwFC7On9C6dc0HeFaqk5TFmRUHyCs4SzQ/4ffSizRp2cqiGiXlBvVtbay6v9wY/nqJ2OtUSkoKDg4OBAYG4ubmRkhICN7e3ri5uTFu3Djy8vIAmD9/Ph4eHjg5OfHwww9jGAYAQ4YMYfbs2QwYMIDevXvz888/V9QdPHgwbm5uuLm5VRnQHTx4MNHR0RWvfXx8iImJ4X//+x9msxmz2Yyrqyu5ubmVJisfPHiQAQMGYDabcXZ2JjExsdqz9e3bl2nTpuHk5MTEiRMJDw/Hx8eHXr16ERERAUBwcDAzZswAYMqUKQQFBTFw4EB69Ohx2RB0Xl4ew4YNw83NDZPJxIYNGyrea9q0KXB+ArGvry8TJkzAZDJVWWfOnDkkJSVhNpt55plnAHj99dfx8PDA2dmZl156yaLzzJs3j0mTJjF06FB69erFxx9/XO0ZLrZnzx5cXV05evRojdaLiIiIiIiIiIiIiIiIiIiIiIjIjaWwMJV9+wIoKjqN2bzC+jBywlnOLDtATkE6++tt5y4Lw8iGYbDw6CnujzlKUXm5VT3IjeGGm5BsySTj2nb48GFWrFjB/PnzGTt2LOHh4TRp0oSFCxeyePFi5s6dy4wZM5g7dy4AkyZNYuPGjYwZMwaA0tJSIiIiCAsL4+WXXyY8PJz27dvzww8/YG9vT2JiIgEBAURGRla677Rp0wgODmbJkiUkJCRQVFSEs7MzY8aM4b333sPHx4e8vDzs7e0r7Vu6dCkzZ85k4sSJFBcXU1ZWVu3Zjhw5wpdffslHH32Eh4cHq1evZvv27XzzzTe8+uqrfP3115fsOXXqFNu3byc+Ph4/Pz/8/f2rrG1vb8/69etp3rw56enpeHl54efnh41N5X9tERERQWxsLN27d6+yzmuvvUZsbGxFOHvz5s0kJiYSERGBYRj4+fnx008/0aVLlxqfJyYmht27d3Pu3DlcXV0ZNWoUnTp1qvY57dy5k3/+859s2LCBLl26VLtOREREREREREREREREREREREREbkwFBSfYF3U/JSVZuJpX0qKFq3V1DmWQHhJHdmEacfZ7uPu5udj//0NAa8IwDF5OSmXpiTMEdGxNPRtNSJbqaULyn6hr1654eXmxe/du4uLi8PHxwWw2s3LlSo4dOwbA1q1b8fT0xGQysWXLFg4ePFixf+zYsQD079+flJQUAEpKSpg+fTomk4lx48YRFxd3yX3HjRvHxo0bKSkpYfny5UyZMgU4Pyn5ySef5O233yYrK4t69Srn0729vXn11VdZuHAhx44do1GjRtWerXv37phMJmxtbXF0dGTYsGHY2NhgMpkqev29u+++G1tbW/r168fp06errW0YBs899xzOzs78/e9/5+TJk1WuHzBgQLVh5Kps3ryZzZs34+rqipubG/Hx8RVToGt6nrvuuotGjRrRtm1bfH19K6YnV+XQoUM8/PDDfPvttwoji4iIiIiIiIiIiIiIiIiIiIiIyCXy81PYuy+A0tJc3FxDrA8jx6aTvuogZwt+I77pPu56wbIwcrlh8GziSZaeOMODN7fljT6dsVMgWS7jhpuQXJeaNGkCnA/YDh8+nM8//7zS+4WFhQQGBhIZGUnnzp2ZN28ehYWFFe83bNgQADs7O0pLSwF488036dChA/v376e8vPySKccAjRs3Zvjw4WzYsIG1a9dWTFCeM2cOo0aNIiwsDC8vL8LDwyvtnzBhAp6enmzatIkRI0bwySefMHTo0CrPdqE3AFtb24rXtra2Fb1ebo9hGNU8Nfjss884c+YMe/fupX79+nTr1q3Sc7ngwvOtKcMwePbZZ3nkkUcqXU9JSanxeX4/pfn3ry/WsWNHCgsLiYqKuuwUZREREREREREREREREREREREREbnxnDuXxL6o+zGMUtxcP6VZs35W1cmPTiNjTTwZBakcbR3HXf96kfpVZAurU2YYPBV/gi9+yySwc3tevLXjZbNxIqAJyXXCy8uLHTt2cOTIEQDy8/NJSEioCNm2bduWvLw8QkNDr1grOzubjh07YmtrS0hICGVlZVWumzZtGkFBQXh4eNC6dWsAkpKSMJlMzJ49G3d3d+Lj4yvtOXr0KD169CAoKAg/Pz9iYmL+yLGtlp2dTfv27alfvz5bt26tmCZtqWbNmpGbm1vxesSIESxfvpy8vDwATp48SVpamkU1N2zYQGFhIRkZGWzbtg0PD49q17Zs2ZJNmzbx3HPPsW3bNqvOICIiIiIiIiIiIiIiIiIiIiIiItefvLzD7N0XgGGU/aEw8rnI02R8Ec+Z/BMkt09gzJznLQojl5QbPB53jC9+y+Spbh0URpYa04TkOtCuXTuCg4MJCAigqKgIgH//+9/07t2b6dOnYzKZ6Nat22XDrRcEBgZy77338uWXX+Lr61vtlOD+/fvTvHlzpk6dWnFtyZIlbN26FTs7O/r168fIkSM5depUxftr1qzh008/pX79+tx0003MnTv3D57cOhMnTmTMmDG4u7tjNpvp27evVXXatGmDj48PTk5OjBw5ktdff51Dhw7h7e0NQNOmTfn000+xs7Orcc0BAwYwatQojh8/zosvvnjFyccdOnTg22+/ZeTIkSxfvhxPT0+rziIiIiIiIiIiIiIiIiIiIiIiIiLXh9zcQ0RFT8bGph5urp/SpMmtVtXJ++UUWeuPcLoghdSbTzBm1rPUq1+/xvuLyst59OAxvkvP5oUeHZnRtYNVfciNycYwjLruoVa5u7sbkZGRla4dOnQIBweHOuroryE1NZUhQ4YQHx+Pra0GY9eGefPm0bRpU55++um6buWao9+kiIiIiIiIiIiIiIiIiIiIiIgI5OTEEBU9BTu7Rri5fkrjxt2tqpO7/STZG4+Smn+EtG5pjAx6Crt6NZ9Zm19WzkOxyWzNzGVBr5t56JZ2VvUh1x8bG5u9hmG4X2mdkqk3gFWrVuHp6cmCBQsURhYRERERERERERERERERERERERH5C8jOjmJf1CTq1WtGf7cvrA4j52w7QfbGo5w4d5iMXme5c+bTFoWRz5WWcX/MUbZl5vJGn84KI4tVNCFZaiwjI4Nhw4Zdcv3HH3+kTZs2f7j+gQMHmDRpUqVrDRs25JdffrGoztXu83Jq6wzXO/0mRURERERERERERERERERERETkRpaVFUn0/gdp0KANbq6fYW/fyeIahmGQE36c3B+PcywvjnNORfz94cextbWrcY2c0jIm7E8iKjeft/t24d6bWlvch1zfajohWYFkEfnT6TcpIiIiIiIiIiIiIiIiIiIiIiI3qsyzu9i/fzr29h1xdQ3BvuFNFtcwDIPs/yaT97+TJOceoNjNhqFTH8HG1rbmfZSUMn5/EofyCvmgX1dGt29pcR9y/atpILnmM7lFRERERERERERERERERERERERERMRqGRk/E3PgERo16oKrOYSGDdtZXMMwDLK+TeLczlMcyYkCryYMnfQgNjY2Na5xpriEcdFJJBcUsdypG8PbtrC4D5GLKZAsIiIiIiIiIiIiIiIiIiIiIiIiInKVpadvJeZAIE2a9MDVvIoGDdpYXMMoNzj7dSL5EadJyI6kwW1t8Rl/v0Vh5NTCYsZFJ5FaVMKnph4Mbt3M4j5Efk+BZBERERERERERERERERERERERERGRq+jMmc0ciA2iadPeuJpXUr9+K4trGOUGmaGHKdh3hkNZu2n29854+Y+3qMaxgiLGRSeRWVLKFy498GzZ1OI+RKqiQLKIiIiIiIiIiIiIiIiIiIiIiIiIyFVyOi2Mgwdn0ayZE2aXFdSv39ziGkaZQcaaQxTGZBB7djttR/XB3W+sRTWS8gsZF51Eflk5X5p74tq8scV9iFTHtq4bkKsjJSUFJycni/elpqbi7+9/FTqyzsCBA//0e6akpLB69erLrgkODmbGjBl/Uke178SJE/j6+uLg4ICjoyNvvfVWXbckIiIiIiIiIiIiIiIiIiIiIiJy3fntt2+IjZ1J8+YuuJqDrQsjl5aT/tlBCmMy2J+5jQ5jTRaHkQ/lFXB31BGKyg3WuSqMLLXvhpuQ/PK3B4lLzanVmv06NeelMY41Xm8YBoZhYGv718uDd+rUidDQ0KtSu6ysDDs7O4v27Ny586r0cjkXAskTJkz40+9tCWue5wX16tXjjTfewM3NjdzcXPr378/w4cPp169fLXcpIiIiIiIiIiIiIiIiIiIiIiJyYzp16iviDs2mZUsPXJw/pl69JhbXMErKORMSS3FCNlGZP9L1Pm+ch42wqEZMbj7j9ydR38aGda496d3E3uI+RK7kr5eIvU6lpKTg4OBAYGAgbm5uhISE4O3tjZubG+PGjSMvLw+A+fPn4+HhgZOTEw8//DCGYQAwZMgQZs+ezYABA+jduzc///xzRd3Bgwfj5uaGm5tblQHewYMHEx0dXfHax8eHmJgY/ve//2E2mzGbzbi6upKbm1tpsvLBgwcZMGAAZrMZZ2dnEhMTqz1b3759eeCBB3B2dsbf35/8/HwAunXrxvz58xk0aBBffvklSUlJ3HHHHfTv35/BgwcTHx8PwOnTp7nnnntwcXHBxcWl4hxNmzYFYNu2bdx2223cc8899OvXj0cffZTy8vJqn/djjz2Gu7s7jo6OvPTSSxXXu3XrxnPPPYe3tzfu7u7s27ePESNGcOutt7J06VIA5syZw88//4zZbObNN9+80kfLpk2b8Pb2Jj09naSkJLy8vPDw8GDu3LkV/VflcmfavHlzld+P3z/PqgwZMoRZs2Zx22234eDgwJ49exg7diy9evXihRdeAKBjx464ubkB0KxZMxwcHDh58uQVzyoiIiIiIiIiIiIiIiIiIiIiIiJXlpoaStyhf9GqlRdml2VWhZHLi8tIW3GA4oRs9mb8wK3332ZxGHlv9jn8o4/QyNaWr117KYwsV80NNyHZkknGte3w4cOsWLGC+fPnM3bsWMLDw2nSpAkLFy5k8eLFzJ07lxkzZjB37lwAJk2axMaNGxkzZgwApaWlREREEBYWxssvv0x4eDjt27fnhx9+wN7ensTERAICAoiMjKx032nTphEcHMySJUtISEigqKgIZ2dnxowZw3vvvYePjw95eXnY21f+Q7N06VJmzpzJxIkTKS4upqys7LJnW7ZsGT4+Pjz44IO8//77PP300wDY29uzfft2AIYNG8bSpUvp1asXv/zyC4GBgWzZsoWgoCD+9re/sX79esrKyioCuBeLiIggLi6Orl27cscdd/DVV1/h7+9fZT8LFiygdevWlJWVMWzYMGJiYnB2dgagc+fO7Nq1i1mzZjFlyhR27NhBYWEhjo6OPProo7z22mssWrSIjRs3XvEzXb9+PYsXLyYsLIxWrVoxZcoUZs6cSUBAQEXA+XKqOtOQIUP497//XeX34/fPszoNGjTgp59+4q233uKuu+5i7969tG7dmltvvZVZs2bRpk2birUpKSlERUXh6el5xX5FRERERERERERERERERERERETk8k6e/IL4w8/TuvVgnE1LsbOzPARcXlTGmeUxFB/LJTLje/o9eAd9vAdbVGPn2TwmHThKuwb1+NLck872DSzuA8AwDMrKyqhX74aLnIoFNCH5T9S1a1e8vLzYvXs3cXFx+Pj4YDabWblyJceOHQNg69ateHp6YjKZ2LJlCwcPHqzYP3bsWAD69+9PSkoKACUlJUyfPh2TycS4ceOIi4u75L7jxo1j48aNlJSUsHz5cqZMmQKcn5T85JNP8vbbb5OVlXXJHwtvb29effVVFi5cyLFjx2jUqFG1Z+vcuTM+Pj4A3H///ZUCs/fddx8AeXl57Ny5k3HjxmE2m3nkkUc4deoUAFu2bOGxxx4DwM7OjhYtWlxyjwEDBtCjRw/s7OwICAi4bCh37dq1uLm54erqysGDBys9Fz8/PwBMJhOenp40a9aMdu3aYW9vT1ZWVrU1f2/r1q0sXLiQTZs20apVKwB27drFuHHjAJgwYcIVa1R1pst9P+D/Pc/LufiMjo6OdOzYkYYNG9KjRw9OnDhRsS4vL497772XJUuW0Lx58xqfXURERERERERERERERERERERERC7166+fEX/4edq0vg1n04fWhZELS0n7OJqilBx+SQ/D9PAYi8PI2zJzmBiTRKeG9fnatdcfCiOHh4fz6aefUlJSYlUNuTEorv4natLk/Mh1wzAYPnw4n3/+eaX3CwsLCQwMJDIyks6dOzNv3jwKCwsr3m/YsCFwPrBbWloKwJtvvkmHDh3Yv38/5eXll0w5BmjcuDHDhw9nw4YNrF27tmKC8pw5cxg1ahRhYWF4eXkRHh5eaf+ECRPw9PRk06ZNjBgxgk8++YShQ4dWeTYbG5tqX184d3l5OS1btiQ6OrpmD8yCe1wsOTmZRYsWsWfPnoqpxVU9R1tb24r/v/D6wnOtiR49enD06FESEhJwd3e35CjVnsHGxqba78cFF57n5dTkjCUlJdx7771MnDixIuwuIiIiIiIiIiIiIiIiIiIiIiIi1jlxYiUJifNp22YoJtO72No2vPKm3ynPL+H0R/spOXWOXzI34f74P+jualk+7fv0bKbHptCrSUO+cLmVdg3qW9wHnM/8fffdd+zZswd3d3fs7OysqiM3Bk1IrgNeXl7s2LGDI0eOAJCfn09CQkJFaLZt27bk5eURGhp6xVrZ2dl07NgRW1tbQkJCKCsrq3LdtGnTCAoKwsPDg9atWwOQlJSEyWRi9uzZuLu7Ex8fX2nP0aNH6dGjB0FBQfj5+RETE1NtH8ePH2fXrl0AfP755wwaNOiSNc2bN6d79+58+eWXwPlg9v79+wEYNmwYH3zwAQBlZWXk5ORcsj8iIoLk5GTKy8tZs2ZNlfcAyMnJoUmTJrRo0YLTp0/z3XffVdt3VZo1a0Zubu4V13Xt2pWvvvqKyZMnV0yy9vLyYt26dQB88cUXV6xR1Zmq+37UJsMweOihh3BwcODJJ5+s1doiIiIiIiIiIiIiIiIiIiIiIiI3muPHl58PI7f9OybTe1aFkcvyivltaRQlp/LYnfktA4ImWBxG3pB2lodik+nXtBGh5p5Wh5HLysrYsGEDe/bsYeDAgYwaNQpbW0VOpXr6dtSBdu3aERwcTEBAAM7Oznh5eREfH0/Lli2ZPn06JpOJu+++Gw8PjyvWCgwMZOXKlXh5eZGQkFDt9Nz+/fvTvHlzpk6dWnFtyZIlODk54eLiQqNGjRg5cmSlPWvWrMHJyQmz2Ux8fDyTJ0+utg8HBwdWrlyJs7MzmZmZPPbYY1Wu++yzz1i2bBkuLi44OjqyYcMGAN566y22bt2KyWSif//+FQHfi3l7ezNnzhycnJzo3r0799xzT5X3cHFxwdXVFUdHRx588EF8fHyq7bsqzs7O1KtXDxcXF958883Lru3Tpw+fffYZ48aNIykpiSVLlrB48WIGDBjAqVOnaNGixWX3V3Wm6r4ftWnHjh2EhISwZcsWzGYzZrOZsLCwWr2HiIiIiIiIiIiIiIiIiIiIiIjIjeDY8Y9JPLKAdu3uwOT0Lra2DSyuUZZTzOkPoig5fY5dZ79l4JNT6GoyW1Rj7W+ZPHbwGP2bN+FL8620ql/P4j4ASktLWbduHfv378fX15fhw4djY2NjVS25cdgYhlHXPdQqd3d3IzIystK1Q4cO4eDgUEcd/TWkpqYyZMgQ4uPja/1fKaSkpDB69GhiY2Nrte7Ftm3bxqJFi9i4ceNVu0dtyM/Pp1GjRtjY2PDFF1/w+eefV4Suf+9aOdPVoN+kiIiIiIiIiIiIiIiIiIiIiIhcD1JSPiDp6CLat78Tx36LsbW1fCJxaXbR+TDy2Xx2Z23kb08/QsdefSyqsepkOv9K+JXBrZoSbOpOEzs7i/sAKCkpYe3atSQmJnL77bczcOBAq+rI9cPGxmavYRhXHNVtXfxdrimrVq3i+eefZ/HixRqZfpXt3buXGTNmYBgGLVu2ZPny5XXdkoiIiIiIiIiIiIiIiIiIiIiIiFwFycnvcDR5CR06jKGfwyJsbS2PZJZmFnJ6aRTF2fnszt7E0NmBdOjR06IaH51IY+6RVP7epjmfOHbD3s66nGBRURGff/55xZBSd/crZlBFKmhCstRYRkYGw4YNu+T6jz/+SJs2beqgI/D09KSoqKjStZCQEEwmU63U//7775k9e3ala927d2f9+vU1rnHgwAEmTZpU6VrDhg355Zdf/lBvjz/+ODt27Kh0bebMmUydOvUP1f0z6DcpIiIiIiIiIiIiIiIiIiIiIiLXKsMwSE5+i+SUd7jpprvp5/AfbGwsn0hckl5wPoyck8/u3E3c/uxM2nbpZlGNt1JO83/JpxjVrgUf9OtKAyuHlhYUFPDZZ59x8uRJ7rnnHpydna2qI9efmk5IViBZRP50+k2KiIiIiIiIiIiIiIiIiIiIiMi1yDAMjh5dTMqx9+nY0R+Hvq9aF0ZOy+f00iiK8s4RcS6M2597ijY3d7aoj4XJv7Hk2GnGdmjF2327UM/WxuI+APLy8ggJCSE9PR1/f39lu6SSmgaSLZ8PLiIiIiIiIiIiIiIiIiIiIiIiIiJygzEMg6Sk1zl2/EM6dfwHffsuwMbG8onExafOkfZhFIXn8ogo/J47X5xNy5s6WtTHvKRUPjxxhokdW/OfPp2xs7EujJyTk8OqVavIysoiICCAnj17WlVHRIFkEREREREREREREREREREREREREZHLMAyDI0f+j+MnlnHzzRPo0/tl68LIv+aS9vF+CvJz2VP8A6PnPkvzdu1rvL/cMHg24VdWpmbw0M1teaXXzdhaGUY+e/YsK1euJD8/n0mTJtG1a1er6oiAAskiIiIiIiIiIiIiIiIiIiIiIiIiItUyDIPExH9z4tdgbrllEr17vYSNFSHgouM5pH28n/yCHPaVbWXMS8/RrHXbGu8vMwyejD/Bmt8yebxLe17o0dGqPgDOnDnDqlWrKC0t5YEHHuDmm2+2qo7IBQoki4iIiIiIiIiIiIiIiIiIiIiIiIhUwTDKOZzwMidPfkrnzlPp1fN568LIydmkLYvhXGEW0fyE30vP06RlqxrvLyk3mHHoGBvSsni620081a2D1WHkU6dOERISgo2NDVOmTKFDhw5W1RG5mOXzwuWakJKSgpOTk8X7UlNT8ff3vwodnTdkyBAiIyMvu2bJkiXk5+dXvL7zzjvJysqqlftb+1xqYu7cuYSHh19yfdu2bYwePRqAb775htdeew2Ar7/+mri4uKvSy58lOjqasLCwum5DRERERERERERERERERERERESk1hlGOYcPz+XkyU/p0mWa1WHkwqQs0j6JIbcgk/122/Gb+4JFYeSi8nKmH0xmQ1oWL97aiae732R1GPnEiROsXLmSevXqMXXqVIWRpdbceBOSv5sDvx2o3Zo3mWDkazVebhgGhmFga/vXy4N36tSJ0NBQq/fXxtmWLFnC/fffT+PGjQGumcDr/Pnzr7jGz88PPz8/4HwgefTo0fTr1+9qt1ZJaWkp9erVzk8/OjqayMhI7rzzzlqpJyIiIiIiIiIiIiIiIiIiIiIi8ldgGOXExz9P6qm1dO36KLf2eNq6MHLCWc4Ex5JTmM7Bhr9w1/MvYt+0aY3355eV81BsMlszc1nQ62YeuqWdxT1ckJyczOrVq2natCkPPPAALVu2tLqWyO/99RKx16mUlBQcHBwIDAzEzc2NkJAQvL29cXNzY9y4ceTl5QHnQ60eHh44OTnx8MMPYxgGcH6y8OzZsxkwYAC9e/fm559/rqg7ePBg3NzccHNzY+fOnZfce/DgwURHR1e89vHxISYmhv/973+YzWbMZjOurq7k5uZWmiB88OBBBgwYgNlsxtnZmcTExBqd7cSJE2zevLnK813ssccew93dHUdHR1566SUA3n77bVJTU/H19cXX1xeAbt26kZ6ezuzZs3n//fcr9s+bN4833ngDgNdffx0PDw+cnZ0ralWnrKyM6dOn4+joyO23305BQUHFM74wvTk9PZ1u3boBEBwczN13382YMWPo3r077777LosXL8bV1RUvLy8yMzMBmDJlSkWY+7///S99+/Zl0KBBfPXVVxX3Dg4OZsaMGezcuZNvvvmGZ555BrPZTFJSEm5ubhXrEhMT6d+/f7Vn6NatW8X3YcCAARw5cgSAM2fOcO+99+Lh4YGHhwc7duyoeFYPgMSOEQAAIABJREFUP/wwt99+O5MnT6asrIynn34ak8mEs7Mz77zzDgB79+7lb3/7G/3792fEiBGcOnWq4tn8/vtXXFzM3LlzWbNmDWazmTVr1lz2uYuIiIiIiIiIiIiIiIiIiIiIiFwLDKOMQ4fmkHpqLd26PW51GLkgPpMzwQfILkwjrvEe7nrRsjByXmkZ98ccZVtmLov7dP5DYeSEhAQ+++wzWrZsyYMPPqgwstS6G29CsgWTjGvb4cOHWbFiBfPnz2fs2LGEh4fTpEkTFi5cyOLFi5k7dy4zZsxg7ty5AEyaNImNGzcyZswY4Pxk24iICMLCwnj55ZcJDw+nffv2/PDDD9jb25OYmEhAQEBFqPaCadOmERwczJIlS0hISKCoqAhnZ2fGjBnDe++9h4+PD3l5edjb21fat3TpUmbOnMnEiRMpLi6mrKzsimd7//33SU9P59///neV57vYggULaN26NWVlZQwbNoyYmBiCgoJYvHgxW7dupW3btpXWjx8/nieeeILAwEAA1q5dy3//+182b95MYmIiERERGIaBn58fP/30E7fddluVvSYmJvL555/z8ccf849//IN169Zx//33X/azi42NJSoqisLCQnr27MnChQuJiopi1qxZrFq1iieeeKJibWFhIdOnT2fLli307NmT++6775J6AwcOxM/Pj9GjR+Pv7w9AixYtiI6Oxmw2s2LFCqZMmXLZnpo3b05ERETF/Tdu3MjMmTOZNWsWgwYN4vjx44wYMYJDhw4B58PG27dvp1GjRnzwwQckJycTFRVFvXr1yMzMpKSkhH/+859s2LCBdu3asWbNGp5//nmWL18OVP39mz9/PpGRkbz77ruX7VVERERERERERERERERERERERORaUF5eyqFDs/nt9Nd07z6THt2DrKpTcDCD9E8PklWYxuFm0dz17As0aNS4xvuzS0qZGHOUqNx83uvXlbEdWlnVB5wfTrpu3To6dOjA/fffT5MmTayuJVKdGy+QXIe6du2Kl5cXGzduJC4uDh8fHwCKi4vx9vYGYOvWrfznP/8hPz+fzMxMHB0dKwLJY8eOBaB///6kpKQAUFJSwowZM4iOjsbOzo6EhIRL7jtu3DheeeUVXn/9dZYvX14RdPXx8eHJJ59k4sSJjB07lltuuaXSPm9vbxYsWMCvv/7K2LFj6dWr1xXPBrB79+5qz3extWvX8tFHH1FaWsqpU6eIi4vD2dm52nu4urqSlpZGamoqZ86coVWrVnTp0oW3336bzZs34+rqCkBeXh6JiYnVBpK7d++O2Wy+5Flejq+vL82aNaNZs2a0aNGi4jMxmUzExMRUWhsfH0/37t0rntf999/PRx99dMV7TJs2jRUrVrB48WLWrFlDRETEZdcHBARU/HfWrFkAhIeHExcXV7EmJyeH3NxcAPz8/GjUqFHFukcffZR69c7/CWjdujWxsbHExsYyfPhw4Pwk6Y4dO1bUqur7JyIiIiIiIiIiIiIiIiIiIiIicr0oLy8lLu4pTqdtpEePJ+ne7XGr6uQfSCdjdRyZhac40vIgd81+gfq/Gxh6OZklpYyPTuLQuUI+cuzGqHbWTzOOjo5mw4YN3HLLLUycOPGSwaUitUWB5D/RhX9VYBgGw4cP5/PPP6/0fmFhIYGBgURGRtK5c2fmzZtHYWFhxfsNGzYEwM7OjtLSUgDefPNNOnTowP79+ykvL6/yj0Xjxo0ZPnw4GzZsYO3atRUTlOfMmcOoUaMICwvDy8uL8PDwSvsnTJiAp6cnmzZtYsSIEXzyyScMHTr0sme73PkulpyczKJFi9izZw+tWrViypQplc5aHX9/f0JDQ/ntt98YP358xf2effZZHnnkkSvuh//3HOH8sywoKACgXr16lJeXA1zSy8V7bG1tK17b2tpWfBYXs2Y8/7333svLL7/M0KFD6d+/P23atLns+ovvceH/y8vL2bVrV0Xw+GK//4x+36NhGDg6OrJr164q71fV909EREREREREREREREREREREROR6UF5ewsG4J0lLC+PWW/9Ft641y6P9Xv7+NDK+iCej4CTJbRPwe+Y56jeseQj4THEJ46KTSC4oYoWpO39v09yqPgAiIiIICwujR48ejB8/ngYNGlhdS+RKbOu6gRuRl5cXO3bs4MiRIwDk5+eTkJBQEYJt27YteXl5hIaGXrFWdnY2HTt2xNbWlpCQEMrKyqpcN23aNIKCgvDw8KB169YAJCUlYTKZmD17Nu7u7sTHx1fac/ToUXr06EFQUBB+fn6XTAK29HwXy8nJoUmTJrRo0YLTp0/z3XffVbzXrFmziqm+vzd+/Hi++OILQkND8ff3B2DEiBEsX76cvLw8AE6ePElaWlqNer1Yt27d2Lt3L0CNnn11+vbtS3JyMklJSQDVBrN/f057e3tGjBjBY489xtSpU694nzVr1lT898IE6ttvv5133323Yk10dHSVe2+//XaWLl1aESzOzMykT58+nDlzpiKQXFJSwsGDBy/bw+U+KxERERERERERERERERERERERkWtBeXkxsQeDSEsLo2fPZ60OI5/bd5qMz+M5k3+CYzclMeZfz1oURk4tLObufUc4VlDMp6YefyiMvH37dsLCwujTpw8BAQEKI8tVp0ByHWjXrh3BwcEEBATg7OyMl5cX8fHxtGzZkunTp2Mymbj77rvx8PC4Yq3AwEBWrlyJl5cXCQkJlabgXqx///40b968UtB1yZIlODk54eLiQqNGjRg5cmSlPWvWrMHJyQmz2Ux8fDyTJ0/+Q+e7mIuLC66urjg6OvLggw/i4+NT8d7DDz/MyJEj8fX1vaS2o6Mjubm53HzzzXTs2BE4H66dMGEC3t7emEwm/P39rQrJPv3003zwwQcMHDiQ9PR0i/dfYG9vz0cffcSoUaMYNGgQXbt2rXLd+PHjef3113F1da0IL0+cOBEbGxtuv/32K96nqKgIT09P3nrrLd58800A3n77bSIjI3F2dqZfv34sXbq0yr3Tpk2jS5cuODs74+LiwurVq2nQoAGhoaHMnj0bFxcXzGYzO3fuvGwPvr6+xMXFYTabKwLSIiIiIiIiIiIiIiIiIiIiIiIi14ry8iIOxP6TM2c206vXC3TtMs2qOuf2/Ebm2sOkFRzj5C3HGP30bOpZEAI+VlDE3VFHOF1cwhcuPRjcuplVfRiGwZYtWwgPD8fJyYl//OMf1K9f36paIpawMQyjrnuoVe7u7kZkZGSla4cOHcLBwaGOOvprSE1NZciQIcTHx2Nrqxz6X9WiRYvIzs7mlVdeuey6bt26ERkZSdu2bf+kzmqXfpMiIiIiIiIiIiIiIiIiIiIiIlLXysqKOBD7OBkZW+ndex6db5lkVZ283afI+voIp/KTOd3tN0YGPYldvXo13p+UX8i46CTyy8r53OVWXJs3tqoPwzD4/vvv2b17N66urowZM0Z5QfnDbGxs9hqG4X6ldTX/xss1a9WqVTz//PMsXrxYf1z+wu655x6SkpLYsmVLXbciIiIiIiIiIiIiIiIiIiIiIiJyXSsrK+TAgcfIyPyJPn1e4ZabJ1hVJ3fHSbK/PUpq/hHSb83gzhlPYWtnV+P9h/IK+Mf+JMoNWOfaE8emjazqo7y8nI0bN7Jv3z48PT0ZMWKE8oLyp1Ig+QYwefJkJk+e/IfrZGRkMGzYsEuu//jjj7Rp0+YP169N11KvF6xfv/6Sa/fccw/JycmVri1cuJCUlJQ/qSsREREREREREREREREREREREZHrS1lZATExj5J5dgcOff+PTp3+YVWdnJ9OkBOWwq/nEsjqk8MdgbOwta15GPlAbj737U+ivo0N61x70ruJvVV9lJWVsX79emJjY7ntttvw9fXFxsbGqloi1lIgWWqsTZs2REdH13UbNXIt9Xo5VYWURURERERERERERERERERERERExDplZfnsj3mYs2d34+DwGp06+ltVJ2frcXK+P8bxvHjynAoY8fBMbCyYSLw3+xwBMUk0s7Mj1NyT7o0bWtVHSUkJoaGhHD58mL///e8MGjTIqjoif5QCySIiIiIiIiIiIiIiIiIiIiIiIiJy3SstPcf+mOlkZe2hX79FdLzpbotrGIZBTvhxcn88zrG8gxSYDYY/OMOiMPLOs3lMOnCUdg3q8aW5J53tG1jcB0BxcTFffPEFR48e5c4772TAgAFW1RGpDQoki4iIiIiIiIiIiIiIiIiIiIiIiMh1rbQ0j+j9D5GdvQ/Hfm9w001+FtcwDIOc71PI3fYrybkHKHWvx7Ap07GxsalxjW2ZOUw9kMwt9g340tyTmxrWt7gPgMLCQlavXs2JEye46667cHV1taqOSG1RIFlERERERERERERERERERERERERErlulpblER08lJzcGJ6e36ND+TotrGIZBdlgyeT+fJCl3P3g1Zsj9Uy0KI29Oz2ZabAq9mjTkC5dbadfAujByfn4+ISEhnD59Gn9/fxwdHa2qI1Kbaj4jXK4pKSkpODk5WbwvNTUVf3//q9DR/xMcHExqaupVvUd1pk2bRlxc3J9+31dfffVPv6eIiIiIiIiIiIiIiIiIiIiIiMiNrqQkh6joB8jJPYCT4ztWh5Gzvk0i7+eTJObsw25QC26zMIz8TVoWD8Ym069pI0LNPa0OI+fm5rJixQrS0tIYP368wsjyl6FAch0wDIPy8vK6bqNKnTp1IjQ09Kreo7YCyaWlpRbv+eSTT+jXr98fvrelFEgWERERERERERERERERERERERH5c5WUZBEVPYnc3DhMTu/Svv0Ii2sY5QZn1ydybucpErIjsR/ankEBkywKI6/9LZNHD6bQv3kTvjTfSqv69SzuAyArK4sVK1aQlZXFxIkT6d27t1V1RK4G677V17CFEQuJz4yv1Zp9W/dl9oDZl12TkpLCyJEj8fX1ZdeuXTzxxBP/H3t3Hl7TvfZ//J3EFAkxxJRSIWjJSEJiakUfVA2tqWpKk3PogIb2aHE6KUefntZR1YFDEVEqSksN1dJGq0oz7kykIQMlBBlknvfvj/7kaSoqe7eG8nld17lkr/W973WvtfdO//nke1i5ciUlJSU4OTmxbt06bG1tWbhwITt37qSoqIg+ffrw3//+FwsLCwYMGIC3tzehoaHk5OSwZs0a+vfvT1paGlOmTKGgoACA9957jz59+lS7dv/+/Xn33Xfx8PAAoG/fvqxYsYLs7GxmzZoFgIWFBd999x2ZmZkMHz6c+Ph4EhISCAgIoLS0lMrKSrZt20bnzp2vuLeCggIeffRRTp8+TUVFBS+//DLjx4+v8V62bdtGREQEkyZNwtramsOHD2NtbX1FT0dHR8aPH09oaCgAmzZtolOnTvj7+9OsWTOio6Pp0aMHCxcu5JlnniEuLo7y8nIWLFjAww8/TEVFBXPnzuXLL7/EwsKCadOm8cwzzzBgwACWLFmCl5cXtra2PPnkk4SGhtK0aVM2b95MixYtanz/Vq9ezapVqygtLaVTp05s2LCBhg0b4u/vj7W1NYmJiZw8eZJ169axfv16Dh8+jLe3N0FBQcybN4+ioiI8PDxwdnZm48aNNX4+HnzwQfr168eRI0dwd3cnICCAV199lfPnz7Nx40Z69erFggULSE1N5ezZsyQlJbF06VKOHDnCF198wV133cXOnTupW9e8v5wRERERERERERERERERERERERG5XZSVZRMd/Tj5Bcdxc/0Ae/uBJvcwVhrJ2pZEUeR5juX8SOMh7fEeNc6kHsFnLvJC0mn6N7UlyLUDNlZWJs8BkJmZyfr16ykpKcHPz4927dqZ1UfketEOyTfQTz/9hJ+fH/v27WPNmjXs37+fqKgovLy8WLp0KQAzZ84kPDyc+Ph4ioqK2LVrV1V9eXk5YWFhLFu2jNdeew2Ali1bsm/fPqKioggJCSEwMPCK606dOpWgoCAAkpKSKCkpwc3NjSVLlvD+++9jMBg4ePDgFcHglStXMmvWLAwGAxEREbRt27bG+9q7dy8ODg7ExMQQHx/Pgw8+eNV7GTt2LF5eXmzcuBGDwVBjGPmyxo0bExYWxsyZM5k9e3bV8aSkJPbv389//vMfFi9ezMCBAwkPDyc0NJTnn3+egoICVq1aRWpqKtHR0cTGxjJp0qQr+hcUFNCjRw+ioqK4//77q55pTUaPHk14eDgxMTF07dqVNWvWVJ3Lzs7mm2++4e2332bEiBE8++yzJCQkEBcXh8Fg4I033sDa2hqDwVBjGPmyEydOMGvWLGJjY0lMTGTTpk18//33LFmypNoOy8nJyezevZsdO3YwefJkfH19iYuLw9ramt27d1+1v4iIiIiIiIiIiIiIiIiIiIiIyJ2gtDSTqOjJFBQex81thdlh5MwtiRRFnich5weaDnMyOYy86ufzvJB0mv9p3pgNrh3NDiNnZGSwdu1aysvL8ff3VxhZbkl33A7J19rJ+Hpq3749Pj4+7Nq1i6NHj9K3b18ASktL6d27NwChoaG8+eabFBYWkpWVhbOzMyNGjAB+CcUCeHp6kpaWBkBZWRkzZ87EYDBgZWVFUlLSFdcdN24cixYt4q233mLt2rX4+/sDv+yU/NxzzzFp0iRGjx59ReC4d+/eLF68mNOnTzN69Ogad0cGcHV1Zc6cOcydO5fhw4fTv3//a95LbUyYMKHq32effbba/Vj9/1/MX331FZ9//jlLliwBoLi4mFOnTrF//36eeuop6tT55SPerFmzK/pbWloyfvx4ACZPnlz1fGsSHx/PSy+9RE5ODvn5+QwZ8n9b948YMQILCwtcXV1p1aoVrq6uADg7O5OWlla1M/W1dOjQoVrtAw88UNX38vsNMHToUOrWrYurqysVFRVVAfDfrhMREREREREREREREREREREREbnTlJZeJCp6CkVFJ3FzXUXz5v1N7mGsMJK5+RjFcZnEZR+k9ShXuj9Y++wbwPKTGbyecpZhLexY0a099SzN2z82PT2dDRs2UKdOHfz8/GjRooVZfUSutzsukHwz2djYAGA0Ghk0aBAff/xxtfPFxcVMnz6diIgI2rVrx4IFCyguLq46X79+fQCsrKwoLy8H4O2336ZVq1bExMRQWVlJgwYNrrhuw4YNGTRoEDt27GDLli1EREQAMG/ePIYNG8aePXvw8fFh//791eonTpyIt7c3u3fvZsiQIXz44YcMHHjlX4p06dKFyMhI9uzZw/z58xk8eDAvvPDC795LbVhYWNT48+XnePlZbtu2jXvuuadardForFZj6vV+y9/fn+3bt+Pu7k5QUBAHDhyoOnf5fbG0tKz6+fLry+9Tbfy29td9f93n18fr1q1bNbep1xMREREREREREREREREREREREbmdlJRcICp6MsXFp3F3+5BmzfqY3MNYUcnFTUcpScgmJusAbcd54T5oaO3rjUbeTD3H2yczGNOqKe/cezd1LE3Lsl126tQpNm7ciLW1NX5+fjVuzClyqzAvci9/iI+PD4cOHeLEiRMAFBYWkpSUVBXYtbe3Jz8/n61bt16z16VLl2jTpg2WlpZs2LCBioqKGtdNnTqVwMBAevbsWfVLKTk5GVdXV+bOnYuXlxeJiYnValJSUujYsSOBgYGMHDmS2NjYGnunp6fTsGFDJk+ezJw5c4iKivrde2nUqBF5eXnXvLeQkJCqfy/vIP1bQ4YM4d1338VoNAIQHR0NwODBg1m5cmVVQDcrK+uK2srKyqq5Nm3aRL9+/a46S15eHm3atKGsrIyNGzdec/bfqlu3LmVlZSbXiYiIiIiIiIiIiIiIiIiIiIiIyLWVlGQQFT2RkpJ0PNzXmhdGLq/kYnACJQnZRGd9Q/sJPiaHkRckp/P2yQwmtWnG8q7mh5FTUlLYsGEDNjY2BAQEKIwstzztkHwTtGjRgqCgICZMmEBJSQkA//rXv+jSpQvTpk3D1dUVR0dHevbsec1e06dPZ8yYMXzyySf4+vpW2z341zw9PWncuDEBAQFVx5YtW0ZoaChWVlZ069aNoUOHcvbs2arzISEhfPTRR9StW5fWrVvzyiuv1Ng7Li6O559/vmrH3hUrVtCkSZOr3ou/vz9PPfUU1tbWHD58GGtr6xr7lpSU4O3tTWVl5RW7SV/28ssvM3v2bNzc3DAajTg6OrJr1y6mTp1KUlISbm5u1K1bl2nTpjFz5sxqtTY2NiQkJODp6YmdnV1VALomixYtwtvbm/bt2+Pq6lqrQPWvPfHEE7i5udGjRw+zAs0iIiIiIiIiIiIiIiIiIiIiIiJSs+Lis0RFT6a09ALu7mtp2uTa2bvfMpZVciE4ntLjl4jK3E8nvwF06+9b6/pKo5H5SadZn57J3++yZ1Hnu7C0MC+MfPz4cUJCQmjatCl+fn40atTIrD4iN5LF5Z1lbxdeXl7GiIiIaseOHTtG165db9JEt4b09HQGDBhAYmIilpa3/sbYjo6OREREYG9vf92uYWtrS35+/nXrL1en76SIiIiIiIiIiIiIiIiIiIiIiPwZiovTiYqaRGlZFh4ea2li52lyj8rSCi4ExVGWkkdE5lfcGzCIe/vcV+v6CqOROT/9zMdns5hxd0te6tgGCzPDyMeOHeOTTz6hZcuWTJky5aqblIrcKBYWFpFGo9HrWutu/WSq/GHBwcF4e3uzePHiv0QYWURERERERERERERERERERERERORaiopOExk1gbLybLp7rDc/jLwmltKUXMIz9+I8dahJYeTySiOBx07x8dksnnNs9YfCyHFxcWzZsgUHBwcef/xxhZHlL6XOzR5Arj8/Pz/8/Pz+cJ/MzEweeOCBK45//fXXNG/e3Kyeo0aNIjU1tdqxf//736SlpZnVzxQ17Y48Y8YMDh06VO3YrFmzCAgI+FOueT2eoYiIiIiIiIiIiIiIiIiIiIiIyJ2mqOgUUVGTKK/Ip7tHMI0bu5nco7KknPMfxlJ2Kp/wrC9wf+oRnDy9a11fVmlk+tGT7LyQw/wObZjl2MrkGS6Liori888/p3379kycOJH69eub3UvkZrAwGo03e4Y/lZeXlzEiIqLasWPHjtG1a9ebNJGI/Ja+kyIiIiIiIiIiIiIiIiIiIiIiYq7CwjSioidRUVFM9+7radzIxeQelcXlnF8dQ+npfMKyvsBzxjg6eNR+h+WSykqeTEhj78VcFjg58NTdLU2e4bKwsDD27NmDk5MT48ePp169emb3EvmzWVhYRBqNRq9rrdMOySIiIiIiIiIiIiIiIiIiIiIiIiLyl1BYmEpU1CQqjaX06P4RjRqZvjFiZWEZGatjKEsv4MesPfR6ZgLt3TxqXV9UUcnf41P5JiuP1zvfxd/atjB5hssOHTrEvn37uOeeexg3bhx16ijWKX9N+uSKiIiIiIiIiIiIiIiIiIiIiIiIyC2voCCZqOhJGI0V9Oi+EVvbe0zuUVFQRsZ/oynPKORI1m56P+tHu26utZ+hogL/uFS+z85nyT3tmOzQ3OQZAIxGI99++y0HDhzA2dmZ0aNHY2VlZVYvkVuBAskiIiIiIiIiIiIiIiIiIiIiIiIickvLz08i2jAFgB49NmFr09nkHhX5pWSsjKbsQhE/Zu+i7z/+xl33dqv9DOUVTI5NIexSAe90vZtHWzczeQb4JYy8f/9+Dh06hIeHByNHjsTS0tKsXiK3CgWSRUREREREREREREREREREREREROSWlZefSHT0FCws6tCj+0fY2DiZ3KMit5SM/0ZTdrGQIzm76D9nGg5d7q11/aWycibGpmDIK+SDbu15pFVTk2cAqKysZO/evYSFheHl5cVDDz2kMLLcFvQpvk2lpaXh4uJicl16ejpjx469DhOZ76GHHiInJweA5cuX07VrVyZNmsTnn3/OG2+8YVIvc59Lbbzyyivs37//iuMHDhxg+PDhANVm3r59O0ePHr0us9wItra2N3sEERERERERERERERERERERERG5zeXlHSU6ejKWlvXw7LHJvDDypRLOrYii9GIBh3N2MmDu0yaFkbPLyhkXk0xsXhGrnR3/UBh5586dhIWF0bt3b4YNG6Ywstw2tEPyTWA0GjEajbfkLxIHBwe2bt16s8eoZs+ePVU/f/DBB3zxxRd06NABgJEjR96ssa6wcOHCa64ZOXJk1czbt29n+PDhdOtW+y3/b7Rb+bMqIiIiIiIiIiIiIiIiIiIiIiK3t9y8eKKj/bCyakiP7htp2LC9yT3Kc4rJWBFNWU4hRy7tZuD8mbR07Fjr+oul5TxqOEFyUQlrXRwZZG9n8gwAFRUVbN++nbi4OO677z58fX2xsLAwq5fIreiOSxmee/11Tk7x+1P/d+7116953bS0NLp27cr06dPp0aMHGzZsoHfv3vTo0YNx48aRn58P/BJq7dmzJy4uLjzxxBMYjUYABgwYwNy5c+nVqxddunTh4MGDVX379+9Pjx496NGjBz/88MMV1+7fvz8Gg6Hqdd++fYmNjeXbb7/Fw8MDDw8PunfvTl5eXrUdhBMSEujVqxceHh64ublx/PjxGu+toKCAYcOG4e7ujouLCyEhIQA4OjpWzdyrVy9OnDgBwIULFxgzZgw9e/akZ8+eHDp0CID8/HwCAgJwdXXFzc2Nbdu2VfW5ePEiTz31FCkpKYwcOZK3336boKAgZs6cCUBGRgajRo3C3d0dd3f3Gp/DZRUVFUybNg1nZ2cGDx5MUVFR1TOOiIgA4OLFizg6OgIQFBTEI488wogRI+jQoQPvvfceS5cupXv37vj4+JCVlQWAv79/VZh779693HvvvfTr149PP/206tqXZ/7hhx/4/PPPef755/Hw8CA5OZkePXpUrTt+/Dienp5XvYc9e/ZU9Q8MDKzagbkmCxYsYMqUKQwcOJDOnTuzevXqqnNvvfUWPXv2xM3NjVdffRW48rP6888/X7X35WfVu3dvdu/eTWVlJdOnT8fZ2Znhw4e7sljcAAAgAElEQVTz0EMP3XIBdxERERERERERERERERERERERufXl5sYSHT2FOnVs8ezxsXlh5KxiMt6PojS7gMO5u/mffwaaFEbOKCljdPQJUotKWO/awewwcnl5OVu3biUuLo4HHniAgQMHKowst507LpB8M/3000/4+fmxb98+1qxZw/79+4mKisLLy4ulS5cCMHPmTMLDw4mPj6eoqIhdu3ZV1ZeXlxMWFsayZct47bXXAGjZsiX79u0jKiqKkJAQAgMDr7ju1KlTCQoKAiApKYmSkhLc3NxYsmQJ77//PgaDgYMHD2JtbV2tbuXKlcyaNQuDwUBERARt27at8b727t2Lg4MDMTExxMfH8+CDD1ada9y4MWFhYcycOZPZs2cDMGvWLJ599lnCw8PZtm0bU6dOBWDRokXY2dkRFxdHbGwsAwcOvGIeBwcHQkNDefbZZ6udCwwM5P777ycmJoaoqCicnZ2v+j4cP36cGTNmkJCQQJMmTaqCz78nPj6eTZs2ERYWxosvvkjDhg2Jjo6md+/eBAcHV1tbXFzMtGnT2LlzJwcPHuTcuXNX9OvTpw8jR47krbfewmAw4OTkhJ2dXVVwfN26dfj7+9c4S3FxMU8++SRffPEF33//PRcuXLjm/LGxsezevZvDhw+zcOFC0tPT+eqrrzh+/DhhYWEYDAYiIyP57rvvgP/7rEZHR9O+/dX/Q56RkcGwYcNYuHAhw4YN49NPPyUtLY24uDg+/PBDDh8+fM3ZREREREREREREREREREREREREfu3SpWiioqdQp44dPbp/jLV1O5N7lF8s4twHUZRcKuRIwR4Gv/Qs9nc71ro+vbiUUdEnOF1SykduHRnQrLHJMwCUlZUREhLCsWPHePDBB+nfv79ZfURudXVu9gA3Wut//vOmXbt9+/b4+Piwa9cujh49St++fQEoLS2ld+/eAISGhvLmm29SWFhIVlYWzs7OjBgxAoDRo0cD4OnpSVpaGvDLL6uZM2diMBiwsrIiKSnpiuuOGzeORYsW8dZbb7F27dqqoGvfvn157rnnmDRpEqNHj74icNy7d28WL17M6dOnGT16NJ07d67xvlxdXZkzZw5z585l+PDh1X5hTpgwoerfyyHi/fv3c/To0ao1ubm55OXlsX//fjZv3lx1vGnTprV7sMA333xTFQy2srLCzu7qf4nSoUMHPDw8gOrP8vf4+vrSqFEjGjVqhJ2dXdV74urqSmxsbLW1iYmJdOjQoep5TZ48mVWrVl3zGlOnTmXdunUsXbqUkJAQwsLCalyXmJhIx44d6dChA/DLs71W/4cffhhra2usra3x9fUlLCyM77//nq+++oru3bsDv+xQffz4ce6+++6qz+rvKSsr44EHHuD999/n/vvvB+D7779n3LhxWFpa0rp1a3x9fa953yIiIiIiIiIiIiIiIiIiIiIiIpfl5ERgiPk79eo1o0f3jTRo4GByj7ILhWSsiKYkv4Cwwr08+NI/aNrmrlrXnyoqYawhmeyyckLcnehpZ2PyDAAlJSVs3ryZ1NRURowYgaenp1l9RP4K7rhA8s1kY/PLLyWj0cigQYP4+OOPq50vLi5m+vTpRERE0K5dOxYsWEBxcXHV+fr16wO/BG7Ly8sBePvtt2nVqhUxMTFUVlbSoEGDK67bsGFDBg0axI4dO9iyZQsREREAzJs3j2HDhrFnzx58fHzYv39/tfqJEyfi7e3N7t27GTJkCB9++OEVuxYDdOnShcjISPbs2cP8+fMZPHgwr7zyCkC1beUv/1xZWcnhw4ev2JHZaDTekG3oLz9H+OVZFhUVAVCnTh0qKysBqj3339ZYWlpWvba0tKx6L37NnPsYM2YMr732GgMHDsTT05PmzZvXuM5oNJrc+7fzWFhYYDQamT9/Pk8++WS1c2lpaVWf1d9Tp04dPD09+fLLL6sCyebMJiIiIiIiIiIiIiIiIiIiIiIiApCdHUZM7N+pV68lPXpspEH91ib3KMsoIGOlgeKCfMKLv2Toyy/QpFXt+6QWljDWcIL8ikq2eHSie+OGJs8Av2TQNm7cyOnTpxk1ahTu7u5m9RH5q7C82QPciXx8fDh06BAnTpwAoLCwkKSkpKoQrL29Pfn5+WzduvWavS5dukSbNm2wtLRkw4YNVFRU1Lhu6tSpBAYG0rNnT5o1awZAcnIyrq6uzJ07Fy8vLxITE6vVpKSk0LFjRwIDAxk5cuQVOwFflp6eTsOGDZk8eTJz5swhKiqq6lxISEjVv5d3gR48eDDvvfde1RqDwVDj8ezs7Gve/2UPPPAAK1asAKCiooLc3Nxa117m6OhIZGQkQK2e/dXce++9pKamkpycDHBF8PyyRo0akZeXV/W6QYMGDBkyhKeffpqAgIDf7Z+SklK1s/PlZ/x7duzYQXFxMZmZmRw4cICePXsyZMgQ1q5dS35+PgBnzpzh/Pnztb1NLCwsWLt2LYmJibzxxhsA9OvXj23btlFZWUlGRgYHDhyodT8REREREREREREREREREREREblzZWcfwRDzN+rXb4Nnj4/NCiOXni0gY0U0xfl5hJd8xbCX55kURj5eUMyo6BMUVVay1cPJ7DByYWEh69ev58yZM4wdO1ZhZLkjKJB8E7Ro0YKgoCAmTJiAm5sbPj4+JCYm0qRJE6ZNm4arqyuPPPIIPXv2vGav6dOns379enx8fEhKSrrqzraenp40bty4WtB12bJluLi44O7ujrW1NUOHDq1WExISgouLCx4eHiQmJuLn51dj77i4OHr16oWHhweLFy/mpZdeqjpXUlKCt7c377zzDm+//TYAy5cvJyIiAjc3N7p168bKlSsBeOmll8jOzq6aKTQ09Jr3f9k777xDaGgorq6ueHp6kpCQUOvay+bMmcOKFSvo06cPFy9eNLn+sgYNGrBq1SqGDRtGv379aN++fY3rHnvsMd566y26d+9eFV6eNGkSFhYWDB48+Kr9ra2t+eCDD3jwwQfp168frVq1ws7O7ndn6tWrF8OGDcPHx4eXX34ZBwcHBg8ezMSJE+nduzeurq6MHTu2WkC6NqysrNi8eTOhoaF88MEHjBkzhrZt2+Li4sKTTz6Jt7f3NWcTEREREREREREREREREREREZE7W1bWIQwxf8faui09um+kfv2WJvcoPZPP+RXRFBXkElG+j+GvzKdxi9r3OZZfxKjoE5QbjWzz6IRrI/PCyPn5+QQFBXH+/Hkee+wxnJ2dzeoj8ldjYTQab/YMfyovLy9jREREtWPHjh2ja9euN2miW0N6ejoDBgwgMTERS8sbk0N3dHQkIiICe3v7G3K928GSJUu4dOkSixYt+t11+fn52NraYjQamTFjBp07d+bZZ5+tce2CBQuwtbVlzpw512Pkq86WmZlJr169OHToEK1bV/8rI30nRUREREREREREREREREREREQEIDPzILFxT2Jt3Z4e3TdQr57pebPSn/PIWG2gsDCX6IpQhr/yT2ybNqt1fVxeIeNjkqlnYcknHk50tmlg8gwAubm5rF+/ntzcXB577DGcnJzM6iNyK7GwsIg0Go1e11pX50YMIzdXcHAwL774IkuXLr1hYWQx3ahRo0hOTuabb7655trVq1ezfv16SktL6d69O08++eQNmLB2hg8fTk5ODqWlpbz88stXhJFFREREREREREREREREREREREQALmYeIC7uaRo2dKK7RzD16tU+RHxZyclczq+OobD4Ega+Y8SrL2LTpGmt66NzC3ksJhlbK0u2enSiQ8P6Js8AkJ2dTXBwMAUFBUyePJn27dub1Ufkr0o7JEutZWZm8sADD1xx/Ouvv6Z58+Y3YaKr+yvN+ntGjRpFampqtWP//ve/GTJkyBVr161bxzvvvFPtWN++fXn//ff/0Aze3t6UlJRUO7ZhwwZcXV3N7qnvpIiIiIiIiIiIiIiIiIiIiIjIne3Cxa+Ji5uJrW1nunsEU7duE5N7lKRc4vzaWPKLsomtc4gRL/6Tho3tal0flpPPxNgUmtWtw1YPJ+62Ni+MnJmZWbXB5OTJk2nbtq1ZfURuRbXdIVmBZBG54fSdFBERERERERERERERERERERG5c1248BVx8YHY2t5Ld4/11K1b+xDxZcUncriwLo684izi6x5hxEv/xNq2Ua3rD2XnMSUuldb16rLVwwmHBvVMngHg/PnzBAcHU1lZiZ+fn/4f5eW2U9tAcp0bMYyIiIiIiIiIiIiIiIiIiIiIiIiIyPnze4lPmEWjRi54uK+jbt3GJvcoTsrmQlA8ucUXOWodzsMvvkT9hja1rv82Kw//uBTaNajPJx5OtKpf1+QZAM6ePUtwcDBWVlYEBATQokULs/qI3A4USBYRERERERERERERERERERERERGR6y4jYzcJR5+lcWN3PNzXUqdO7Xc0vqwoMYuLwfHkFF/gJ9toRs57ifoNG9a6ft/FS0xNSKNTw/qEuHfCvp55Mcqff/6Zjz76iAYNGuDn50fz5s3N6iNyu1AgWURERERERERERERERERERERERESuq3PnPifh6D9oYueJu/uH1Klja3KPooRMLn6UQHZxBifs4hg570XqNbCudf2eCzk8mXCSrrYNCHF3omld8yKUaWlpbNq0CRsbGx5//HGaNGliVh+R24kCySIiIiIiIiIiIiIiIiIiIiIiIiJy3Zw9+xlHj71AkyY98XD/ECur2u9ofFlh7AUyPz5GVvFZUponMuL5f1K3foNa12/PyGbGsZN4NGrIJreO2JkZRj5x4gSbN2+mSZMm+Pn50bhxY7P6iNxuLG/2AHJ9pKWl4eLiYnJdeno6Y8eONakmJyeHDz744Krn/f392bp1KwDLli2jsLDQpP6Ojo5cvHjRpBoRERERERERERERERERERERERG5+dLTt3L02PM0beqDh/sa88LIhvNkbjpGZtEZUlsmMeKF+SaFkbecy2L60ZP0bGxDiLuT2WHkxMREPv74Y5o3b05AQIDCyCK/okDyTWA0GqmsrLzZY9TIwcGhKjxcW9cKJP/a7wWSKyoqTLquiIiIiIiIiIiIiIiIiIiIiIiI3LrOnNnMscS5NGvWD3e31VhZWZvcoyAyg8zNiVwo+plTDqkMnzOPOvXq1bp+Y3oms46dom9TWza6d8S2jpXJMwDEx8ezZcsWWrdujb+/PzY2Nmb1EbldmRfz/ws7uCWJiz/n/6k97dvZ0v/RLr+7Ji0tjaFDh+Lr68vhw4eZPXs2K1eupKSkBCcnJ9atW4etrS0LFy5k586dFBUV0adPH/773/9iYWHBgAED8Pb2JjQ0lJycHNasWUP//v1JS0tjypQpFBQUAPDee+/Rp0+fatfu378/7777Lh4eHgD07duXFStWkJ2dzaxZswCwsLDgu+++IzMzk+HDhxMfH09CQgIBAQGUlpZSWVnJtm3b6Ny58xX3Nm/ePJKTk/Hw8GDQoEG8+eabPPPMM3zzzTd06NABo9EIwPLly0lPT8fX1xd7e3tCQ0OxtbXlueee48svv+Q///kP/fr1u+ozLCoqYtSoUYwZM4Zp06bV/g0SERERERERERERERERERERERGRG+r0mU389NPLNG92H66uK7Gyqm9yj4Kwc2R9mkRG0UnO3X2GYbOex6pO3VrXrz19gX8eP4Nvs0asdemAtZV5e7gaDAZ27NhBu3btmDhxIg0a1H53ZpE7hXZIvoF++ukn/Pz82LdvH2vWrGH//v1ERUXh5eXF0qVLAZg5cybh4eHEx8dTVFTErl27qurLy8sJCwtj2bJlvPbaawC0bNmSffv2ERUVRUhICIGBgVdcd+rUqQQFBQGQlJRESUkJbm5uLFmyhPfffx+DwcDBgwextq7+1ycrV65k1qxZGAwGIiIiaNu2bY339cYbb+Dk5ITBYOCtt97is88+46effiIuLo7Vq1fzww8/ABAYGIiDgwOhoaGEhoYCUFBQgIuLCz/++OPvhpHz8/MZMWIEEydOVBhZRERERERERERERERERERERETkFvbz6WB++ull7JsPxM3NvDBy/pF0sj89zrnCVDI6ZPDQbNPCyCtPneefx88wxL4xQa7mh5HDw8PZvn07HTp0YPLkyQoji1zFHbdD8rV2Mr6e2rdvj4+PD7t27eLo0aP07dsXgNLSUnr37g1AaGgob775JoWFhWRlZeHs7MyIESMAGD16NACenp6kpaUBUFZWxsyZMzEYDFhZWZGUlHTFdceNG8eiRYt46623WLt2Lf7+/sAvOyU/99xzTJo0idGjR18ROO7duzeLFy/m9OnTjB49usbdkWvy3XffMWHCBKysrHBwcGDgwIFXXWtlZcWYMWOu2fPhhx/mhRdeYNKkSbWaQURERERERERERERERERERERERG68Uz+v4/jxf2Fv/z+4uryLpWU9k3vkfX+aS7tSOVN4guzO2Qyd/iyWVla1rn8nLYP/TT3LiBZN+KBbe+paWpg8A8Dhw4f58ssv6dKlC+PGjaNu3doHokXuNNoh+QaysbEBwGg0MmjQIAwGAwaDgaNHj7JmzRqKi4uZPn06W7duJS4ujmnTplFcXFxVX7/+L38lYmVlRXl5OQBvv/02rVq1IiYmhoiICEpLS6+4bsOGDRk0aBA7duxgy5YtTJw4EYB58+bx4YcfUlRUhI+PD4mJidXqJk6cyOeff461tTVDhgzhm2++qfW9WljU7hd4gwYNsKrFfyj69u3LF198gdForPUMIiIiIiIiIiIiIiIiIiIiIiIicuOcPLWa48f/RYsWD+Lq8p5ZYeTcb3/m0q5UThf8xKWueQyeMavWYWSj0ci/U87yv6lnGdOqKSv+QBj5u+++48svv6Rbt248+uijCiOLXIMCyTeBj48Phw4d4sSJEwAUFhaSlJRUFT62t7cnPz+frVu3XrPXpUuXaNOmDZaWlmzYsIGKiooa102dOpXAwEB69uxJs2bNAEhOTsbV1ZW5c+fi5eV1RSA5JSWFjh07EhgYyMiRI4mNja2xd6NGjcjLy6t6fd9997F582YqKio4e/YsoaGhV11bWwsXLqR58+ZMnz7d5FoRERERERERERERERERERERERG5vtLSVnLixBu0bPkQLs7LsLQ0PcCb+80pcr9I41T+MfLdShj05EwsLWsfRv5XylnePpnBY62bsbzr3dQxI4xsNBr5+uuv+eabb3Bzc2PMmDHUqVPH5D4idxoFkm+CFi1aEBQUxIQJE3Bzc6vanbhJkyZMmzYNV1dXHnnkEXr27HnNXtOnT2f9+vX4+PiQlJRUtQvzb3l6etK4cWMCAgKqji1btgwXFxfc3d2xtrZm6NCh1WpCQkJwcXHBw8ODxMRE/Pz8auzdvHlz+vbti4uLC88//zyjRo2ic+fOuLq68vTTT3P//fdXrX3iiScYOnQovr6+tXlU1Sxbtozi4mJeeOEFk2tFRERERERERERERERERERERETk+khNfY/klLdo1WoEzt3eNjmMbDQaufRVGrlfnSQtP4FiTyMPTJ2OhWXtIo5Go5FXTpzh/VPn8XNoztJ722FlYV4Yee/evRw8eBBPT08eeeQRrGq5O7PInc7CaDTe7Bn+VF5eXsaIiIhqx44dO0bXrl1v0kS3hvT0dAYMGEBiYiKWtfwlLXK96DspIiIiIiIiIiIiIiIiIiIiIvLXZzQaSU1dTmraclq3foRuXd/EwsK0AK/RaOTS3jTyvz1Nal4cFd71uX/K37CoZaC40mhkXtJpgtMzmdbWnoWd7qp1bbU+lZXs3r2byMhIfHx8GDJkiFl9RG43FhYWkUaj0eta65RMvQMEBwfj7e3N4sWLFUYWERERERERERERERERERERERGRP8xoNJKS+japactp02as2WHknN0p5H97muRcA/S1MSmMXGE08lzizwSnZzLz7pZmh5ErKirYvn07kZGR9O/fX2FkETPUudkDyPXn5+eHn5/fH+6TmZnJAw88cMXxr7/+mubNm//h/qNGjSI1NbXasX//+98MGTLkD/cWERERERERERERERERERERERGRP4fRaCQ5+S1OnvovDm0e5d57F2NhYdpmmUajkZzPT1Bw+BzHcyOpP6AlvcdNqHUQuLzSSGDiKT7NyOYfjq2Y49jarBBxeXk5n376KUePHmXgwIHcd999JvcQEQWSxQTNmzfHYDBct/6fffbZdestIiIiIiIiIiIiIiIiIiIiIiIif5zRaOTEif/l1M9ruOuuidzT5TXTw8iVRrK3H6cwLIOfLoVjO6gt3qMfrXV9WaWRp4+msevCJf7ZsQ2B7VuZehu/9Ckr45NPPiEpKYkhQ4bQu3dvs/qIiALJIiIiIiIiIiIiIiIiIiIiIiIiIlILRqOR48f/xc+ng2jbdgpdOr9q8q7ExkojWVt/oijqAsdyjtDkISd6jhxd6/qSykqeSEjjy4u5LHBy4Km7W5p6GwCUlpayefNmUlJSGDZsGD179jSrj4j8QoFkEREREREREREREREREREREREREfldRqORpKTXOH1mA+3aBdC504tmhZEzQxIpjrlIQvYhWjzcjR4Pjax1fVFFJX+LTyU0K4/XO9/F39q2MPU2ACguLmbTpk38/PPPPPLII3h4eJjVR0T+jwLJIiIiIiIiIiIiIiIiIiIiIiIiInJVRmMlPyW9ypkzm7j77ql0cppnehi5wsjFzUcpicsiLvsgbcZ44DH4oVrXF1RU8HhsKody8vnPPe2Y5NDc1NsAoLCwkI0bN3L27FnGjBmDi4uLWX1EpDoFkkVERERERERERERERERERERERESkRkZjJYmJL5J+dgvt2z+FU8c5poeRyyu5uOkoJUezick6wN2PeeM6cHCt6/PLK5gcm0LYpQKWd72bca2bmXobABQUFBAcHMzFixd59NFHuffee83qIyJXsrzZA9zJli1bRmFhocnrHnroIXJycq7naH8ag8HAnj17bvYYIiIiIiIiIiIiIiIiIiIiIiIiYiKjsYKjx14g/ewWHB1nmh1GvrAhgZKj2RiyvqHD5L4mhZEvlZUzPiaZ8NwCPujW3uwwcm5uLuvWrSMzM5MJEyYojCzyJ1Mg+SYyN5C8Z88emjRpcj1H+9MokCwiIiIiIiIiIiIiIiIiIiIiIvLXU1lZTsLROZw79xkdO8zGqeOzpoeRyyq5EBRH6U85RGXux+nxAXS7b2Ct67PKyhlnSCY2r4jVzo480qqpqbcBQE5ODuvWrSM3N5fJkyfTqVMns/qIyNXVudkD3GihQas4fzLlT+3Zsn1HfP2f+N01BQUFPProo5w+fZqKigrGjRtHeno6vr6+2NvbExoaytNPP014eDhFRUWMHTuW1157jeXLl1+xztHRkYiICOzt7Vm6dClr164FYOrUqcyePZu0tDSGDh1Kv379+OGHH7jrrrvYsWMH1tbWNc62evVqVq1aRWlpKZ06dWLDhg2UlZXh7u5OSkoKlpaWFBYWcs8995CSkoLBYODvf/87NjY29OvXjy+++IL4+Pgr+paWlvLKK69QVFTE999/z/z58xk+fDjPPPMMcXFxlJeXs2DBAh5++GGCgoLYvn07FRUVxMfH849//IPS0lI2bNhA/fr12bNnD82aNWPAgAF4eHgQFhZGbm4ua9eupVevXjXeV35+Ps888wwRERFYWFjw6quvMmbMGBPfXRERERERERERERERERERERERkTtLZWUZCUef4/z5PTh1fB5Hx6dM71FawYWgOMpS8ojI/Ipufx9CF59+ta6/UFrGeEMyyUUlrHVxZJC9nckzAGRmZhIcHExJSQlTpkyhXbt2ZvURkd+nHZJvkL179+Lg4EBMTAzx8fHMnj0bBwcHQkNDCQ0NBWDx4sVEREQQGxvLt99+S2xsLIGBgVesuywyMpJ169bx448/cuTIEVavXk10dDQAx48fZ8aMGSQkJNCkSRO2bdt21dlGjx5NeHg4MTExdO3alTVr1mBnZ4e7uzvffvstADt37mTIkCHUrVuXgIAAVq5cyeHDh7Gysrpq33r16rFw4ULGjx+PwWBg/PjxLF68mIEDBxIeHk5oaCjPP/88BQUFAMTHx7Np0ybCwsJ48cUXadiwIdHR0fTu3Zvg4OCqvgUFBfzwww988MEH/O1vf7vq9RctWoSdnR1xcXHExsYycGDt/7JGRERERERERERERERERERERETkTlRZWUp8QiDnz++hU6f55oWRSyo4vyaW0pRcwjP34vLEMJPCyBklZYyOPkFqUQnBrh3NDiNfuHCBdevWUVpayuOPP64wssh1dMftkHytnYyvF1dXV+bMmcPcuXMZPnw4/fv3v2LNli1bWLVqFeXl5Zw9e5ajR4/i5uZ21Z7ff/89o0aNwsbGBvglWHzw4EFGjhxJhw4d8PDwAMDT05O0tLSr9omPj+ell14iJyeH/Px8hgwZAsD48eMJCQnB19eXzZs3M336dHJycsjLy6NPnz4ATJw4kV27dtX6OXz11Vd8/vnnLFmyBIDi4mJOnToFgK+vL40aNaJRo0bY2dkxYsSIqmcXGxtb1WPChAkA3HfffeTm5pKTk0OTJk2uuNb+/fvZvHlz1eumTc3brl9EREREREREREREREREREREROROUFlZQlz8M1y8+DVdOr9Mu3b+pvcoKef86hjKfs4nPPtLPKaPomP3nrWuTy8uZawhmXOlZWx0c6JPU1uTZwA4d+4cwcHBWFpaEhAQQMuWLc3qIyK1c8cFkm+WLl26EBkZyZ49e5g/fz6DBw+udj41NZUlS5YQHh5O06ZN8ff3p7i4+Hd7Go3Gq56rX79+1c9WVlYUFRVdda2/vz/bt2/H3d2doKAgDhw4AMDIkSOZP38+WVlZREZGMnDgQHJzc2txt78/87Zt27jnnnuqHf/xxx+rzWxpaVn12tLSkvLy8qpzFhYW1Wp/+/rX17raOREREREREREREaXoodwAACAASURBVBEREREREREREfk/FRUlxMU/TWbmt9zTZSFt204yuUdlUTkZqw2UnSkgPOsLPJ8Zj6Nb91rXnyoqYawhmeyyckLcnehpZ2PyDACnT5/mo48+ol6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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f45853eba20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#(sj_train_features.reanalysis_min_air_temp_k.plot.line(lw=0.8))\n",
    "\n",
    "df_new = sj_train_features.cumsum()\n",
    "plt.figure(); df_new.plot();\n",
    "#plt.title('Vegetation Index over Time')\n",
    "#plt.xlabel('Time')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since these are time-series, we can see the gaps where there are `NaN`s by plotting the data. Since we can't build a model without those values, we'll take a simple approach and just fill those values with the most recent value that we saw up to that point. This is probably a good part of the problem to improve your score by getting smarter."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "sj_train_features.fillna(method='ffill', inplace=True)\n",
    "iq_train_features.fillna(method='ffill', inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Distribution of labels\n",
    "\n",
    "Our target variable, `total_cases` is a non-negative integer, which means we're looking to make some **count predictions**. Standard regression techniques for this type of prediction include\n",
    "\n",
    "1. Poisson regression\n",
    "2. Negative binomial regression\n",
    "\n",
    "Which techniqe will perform better depends on many things, but the choice between Poisson regression and negative binomial regression is pretty straightforward. Poisson regression fits according to the assumption that the mean and variance of the population distributiona are equal. When they aren't, specifically when the variance is much larger than the mean, the negative binomial approach is better. Why? It isn't magic. The negative binomial regression simply lifts the assumption that the population mean and variance are equal, allowing for a larger class of possible models. In fact, from this perspective, the Poisson distribution is but a special case of the negative binomial distribution.\n",
    "\n",
    "Let's see how our labels are distributed!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "San Juan\nmean:  34.18055555555556\nvar : 2640.0454396910277\n\nIquitos\nmean:  7.565384615384615\nvar : 115.89552393656439\n"
     ]
    }
   ],
   "source": [
    "print('San Juan')\n",
    "print('mean: ', sj_train_labels.mean()[0])\n",
    "print('var :', sj_train_labels.var()[0])\n",
    "\n",
    "print('\\nIquitos')\n",
    "print('mean: ', iq_train_labels.mean()[0])\n",
    "print('var :', iq_train_labels.var()[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It's looking like a negative-binomial sort of day in these parts."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7f477444a3c8>]],\n      dtype=object)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4774473e48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sj_train_labels.hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7f4770ba98d0>]],\n      dtype=object)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f477440aef0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "iq_train_labels.hist()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### `variance  >>  mean` suggests `total_cases` can be described by a negative binomial distribution, so we'll use a negative binomial regression below."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Which inputs strongly correlate with `total_cases`?\n",
    "\n",
    "Our next step in this process will be to select a subset of features to include in our regression. Our primary purpose here is to get a better understanding of the problem domain rather than eke out the last possible bit of predictive accuracy. The first thing we will do is to add the `total_cases` to our dataframe, and then look at the correlation of that variable with the climate variables."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "sj_train_features['total_cases'] = sj_train_labels.total_cases\n",
    "iq_train_features['total_cases'] = iq_train_labels.total_cases"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Compute the data correlation matrix."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# compute the correlations\n",
    "sj_correlations = sj_train_features.corr()\n",
    "iq_correlations = iq_train_features.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'San Juan Variable Correlations')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4770b7cc18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot san juan\n",
    "sj_corr_heat = sns.heatmap(sj_correlations)\n",
    "plt.title('San Juan Variable Correlations')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Iquitos Variable Correlations')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f476ff55860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot iquitos\n",
    "iq_corr_heat = sns.heatmap(iq_correlations)\n",
    "plt.title('Iquitos Variable Correlations')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Many of the temperature data are strongly correlated, which is expected. But the `total_cases` variable doesn't have many obvious strong correlations.\n",
    "\n",
    "Interestingly, `total_cases` seems to only have weak correlations with other variables. Many of the climate variables are much more strongly correlated. Interestingly, the vegetation index also only has weak correlation with other variables. These correlations may give us some hints as to how to improve our model that we'll talk about later in this post. For now, let's take a `sorted` look at `total_cases` correlations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f476e630f60>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f476e642278>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# San Juan\n",
    "(sj_correlations\n",
    "     .total_cases\n",
    "     .drop('total_cases') # don't compare with myself\n",
    "     .sort_values(ascending=False)\n",
    "     .plot\n",
    "     .barh())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f476e5d3940>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f476e5b0390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Iquitos\n",
    "(iq_correlations\n",
    "     .total_cases\n",
    "     .drop('total_cases') # don't compare with myself\n",
    "     .sort_values(ascending=False)\n",
    "     .plot\n",
    "     .barh())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### A few observations\n",
    "\n",
    "#### The wetter the better\n",
    "* The correlation strengths differ for each city, but it looks like `reanalysis_specific_humidity_g_per_kg` and `reanalysis_dew_point_temp_k` are the most strongly correlated with `total_cases`. This makes sense: we know mosquitos thrive _wet_ climates, the wetter the better!\n",
    "\n",
    "#### Hot and heavy\n",
    "* As we all know, \"cold and humid\" is not a thing. So it's not surprising that as minimum temperatures, maximum temperatures, and average temperatures rise, the `total_cases` of dengue fever tend to rise as well.\n",
    "\n",
    "#### Sometimes it rains, so what\n",
    "* Interestingly, the `precipitation` measurements bear little to no correlation to `total_cases`, despite strong correlations to the `humidity` measurements, as evident by the heatmaps above.\n",
    "\n",
    "### This is just a first pass\n",
    "\n",
    "Precisely _none_ of these correlations are very strong. Of course, that doesn't mean that some **feature engineering wizardry** can't put us in a better place **(`standing_water` estimate, anyone?)**. Also, it's always useful to keep in mind that **life isn't linear**, but out-of-the-box correlation measurement is – or at least, it measures linear dependence.\n",
    "\n",
    "Nevertheless, for this benchmark we'll focus on the linear __wetness__ trend we see above, and reduce our inputs to \n",
    "\n",
    "#### A few good variables\n",
    "\n",
    "* `reanalysis_specific_humidity_g_per_kg`\n",
    "* `reanalysis_dew_point_temp_k`\n",
    "* `station_avg_temp_c`\n",
    "* `station_min_temp_c`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## A mosquito model\n",
    "\n",
    "Now that we've explored this data, it's time to start modeling. Our first step will be to build a function that does all of the preprocessing we've done above from start to finish. This will make our lives easier, since it needs to be applied to the test set and the traning set before we make our predictions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def preprocess_data(data_path, labels_path=None):\n",
    "    # load data and set index to city, year, weekofyear\n",
    "    df = pd.read_csv(data_path, index_col=[0, 1, 2])\n",
    "    \n",
    "    # select features we want\n",
    "    features = ['reanalysis_specific_humidity_g_per_kg', \n",
    "                 'reanalysis_dew_point_temp_k', \n",
    "                 'station_avg_temp_c', \n",
    "                 'station_min_temp_c', \n",
    "                 'reanalysis_sat_precip_amt_mm',\n",
    "                 'reanalysis_dew_point_temp_k',\n",
    "                 'reanalysis_air_temp_k'\n",
    "                ]\n",
    "    df = df[features]\n",
    "    \n",
    "    # fill missing values\n",
    "    df.fillna(method='ffill', inplace=True)\n",
    "\n",
    "    # add labels to dataframe\n",
    "    if labels_path:\n",
    "        labels = pd.read_csv(labels_path, index_col=[0, 1, 2])\n",
    "        df = df.join(labels)\n",
    "    \n",
    "    # separate san juan and iquitos\n",
    "    sj = df.loc['sj']\n",
    "    iq = df.loc['iq']\n",
    "    \n",
    "    return sj, iq"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "sj_train, iq_train = preprocess_data('data/dengue_features_train.csv',\n",
    "                                    labels_path=\"data/dengue_labels_train.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can take a look at the smaller dataset and see that it's ready to start modelling:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    936.000000\nmean      35.316485\nstd       44.655240\nmin        0.000000\n25%        0.000000\n50%       20.450000\n75%       51.927500\nmax      390.600000\nName: reanalysis_sat_precip_amt_mm, dtype: float64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sj_train.reanalysis_sat_precip_amt_mm.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>reanalysis_specific_humidity_g_per_kg</th>\n",
       "      <th>reanalysis_dew_point_temp_k</th>\n",
       "      <th>station_avg_temp_c</th>\n",
       "      <th>station_min_temp_c</th>\n",
       "      <th>reanalysis_sat_precip_amt_mm</th>\n",
       "      <th>reanalysis_dew_point_temp_k</th>\n",
       "      <th>reanalysis_air_temp_k</th>\n",
       "      <th>total_cases</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>520.000000</td>\n",
       "      <td>520.000000</td>\n",
       "      <td>520.000000</td>\n",
       "      <td>520.000000</td>\n",
       "      <td>520.000000</td>\n",
       "      <td>520.000000</td>\n",
       "      <td>520.000000</td>\n",
       "      <td>520.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>17.102019</td>\n",
       "      <td>295.498723</td>\n",
       "      <td>27.506331</td>\n",
       "      <td>21.210385</td>\n",
       "      <td>64.353750</td>\n",
       "      <td>295.498723</td>\n",
       "      <td>297.869464</td>\n",
       "      <td>7.565385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.443048</td>\n",
       "      <td>1.414360</td>\n",
       "      <td>0.908973</td>\n",
       "      <td>1.257734</td>\n",
       "      <td>35.180867</td>\n",
       "      <td>1.414360</td>\n",
       "      <td>1.171486</td>\n",
       "      <td>10.765478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>12.111429</td>\n",
       "      <td>290.088571</td>\n",
       "      <td>21.400000</td>\n",
       "      <td>14.700000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>290.088571</td>\n",
       "      <td>294.635714</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>16.121429</td>\n",
       "      <td>294.596429</td>\n",
       "      <td>26.957500</td>\n",
       "      <td>20.600000</td>\n",
       "      <td>39.147500</td>\n",
       "      <td>294.596429</td>\n",
       "      <td>297.092500</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>17.428571</td>\n",
       "      <td>295.852143</td>\n",
       "      <td>27.587500</td>\n",
       "      <td>21.400000</td>\n",
       "      <td>60.470000</td>\n",
       "      <td>295.852143</td>\n",
       "      <td>297.822857</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>18.180357</td>\n",
       "      <td>296.557143</td>\n",
       "      <td>28.075000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>86.005000</td>\n",
       "      <td>296.557143</td>\n",
       "      <td>298.649286</td>\n",
       "      <td>9.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>20.461429</td>\n",
       "      <td>298.450000</td>\n",
       "      <td>30.800000</td>\n",
       "      <td>24.200000</td>\n",
       "      <td>210.830000</td>\n",
       "      <td>298.450000</td>\n",
       "      <td>301.637143</td>\n",
       "      <td>116.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>reanalysis_specific_humidity_g_per_kg</th>\n",
       "      <th>reanalysis_dew_point_temp_k</th>\n",
       "      <th>station_avg_temp_c</th>\n",
       "      <th>station_min_temp_c</th>\n",
       "      <th>reanalysis_sat_precip_amt_mm</th>\n",
       "      <th>reanalysis_dew_point_temp_k</th>\n",
       "      <th>reanalysis_air_temp_k</th>\n",
       "      <th>total_cases</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>520.000000</td>\n",
       "      <td>520.000000</td>\n",
       "      <td>520.000000</td>\n",
       "      <td>520.000000</td>\n",
       "      <td>520.000000</td>\n",
       "      <td>520.000000</td>\n",
       "      <td>520.000000</td>\n",
       "      <td>520.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>17.102019</td>\n",
       "      <td>295.498723</td>\n",
       "      <td>27.506331</td>\n",
       "      <td>21.210385</td>\n",
       "      <td>64.353750</td>\n",
       "      <td>295.498723</td>\n",
       "      <td>297.869464</td>\n",
       "      <td>7.565385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.443048</td>\n",
       "      <td>1.414360</td>\n",
       "      <td>0.908973</td>\n",
       "      <td>1.257734</td>\n",
       "      <td>35.180867</td>\n",
       "      <td>1.414360</td>\n",
       "      <td>1.171486</td>\n",
       "      <td>10.765478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>12.111429</td>\n",
       "      <td>290.088571</td>\n",
       "      <td>21.400000</td>\n",
       "      <td>14.700000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>290.088571</td>\n",
       "      <td>294.635714</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>16.121429</td>\n",
       "      <td>294.596429</td>\n",
       "      <td>26.957500</td>\n",
       "      <td>20.600000</td>\n",
       "      <td>39.147500</td>\n",
       "      <td>294.596429</td>\n",
       "      <td>297.092500</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>17.428571</td>\n",
       "      <td>295.852143</td>\n",
       "      <td>27.587500</td>\n",
       "      <td>21.400000</td>\n",
       "      <td>60.470000</td>\n",
       "      <td>295.852143</td>\n",
       "      <td>297.822857</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>18.180357</td>\n",
       "      <td>296.557143</td>\n",
       "      <td>28.075000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>86.005000</td>\n",
       "      <td>296.557143</td>\n",
       "      <td>298.649286</td>\n",
       "      <td>9.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>20.461429</td>\n",
       "      <td>298.450000</td>\n",
       "      <td>30.800000</td>\n",
       "      <td>24.200000</td>\n",
       "      <td>210.830000</td>\n",
       "      <td>298.450000</td>\n",
       "      <td>301.637143</td>\n",
       "      <td>116.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iq_train.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Split it up!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since this is a timeseries model, we'll use a strict-future holdout set when we are splitting our train set and our test set. We'll keep around three quarters of the original data for training and use the rest to test. We'll do this separately for our San Juan model and for our Iquitos model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sj_train_subtrain = sj_train.head(800)\n",
    "sj_train_subtest = sj_train.tail(sj_train.shape[0] - 800)\n",
    "\n",
    "iq_train_subtrain = iq_train.head(400)\n",
    "iq_train_subtest = iq_train.tail(iq_train.shape[0] - 400)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Training time\n",
    "\n",
    "This is where we start getting down to business. As we noted above, we'll train a NegativeBinomial model, which is often used for count data where the mean and the variance are very different. In this function we have three steps. The first is to specify the functional form "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best alpha =  1e-08\nbest score =  21.24264705882353\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best alpha =  1e-08\nbest score =  6.525\n"
     ]
    }
   ],
   "source": [
    "from statsmodels.tools import eval_measures\n",
    "import statsmodels.formula.api as smf\n",
    "\n",
    "def get_best_model(train, test):\n",
    "    # Step 1: specify the form of the model\n",
    "    model_formula = \"total_cases ~ 1 + \" \\\n",
    "                    \"reanalysis_specific_humidity_g_per_kg + \" \\\n",
    "                    \"reanalysis_dew_point_temp_k + \" \\\n",
    "                    \"station_min_temp_c + \" \\\n",
    "                    \"station_avg_temp_c + \" \\\n",
    "                    \"reanalysis_sat_precip_amt_mm + \" \\\n",
    "                    \"reanalysis_dew_point_temp_k + \" \\\n",
    "                    \"reanalysis_air_temp_k\"\n",
    "    \n",
    "    grid = 10 ** np.arange(-8, -3, dtype=np.float64)\n",
    "                    \n",
    "    best_alpha = []\n",
    "    best_score = 1000\n",
    "        \n",
    "    # Step 2: Find the best hyper parameter, alpha\n",
    "    for alpha in grid:\n",
    "        model = smf.glm(formula=model_formula,\n",
    "                        data=train,\n",
    "                        family=sm.families.NegativeBinomial(alpha=alpha))\n",
    "\n",
    "        results = model.fit()\n",
    "        predictions = results.predict(test).astype(int)\n",
    "        score = eval_measures.meanabs(predictions, test.total_cases)\n",
    "\n",
    "        if score < best_score:\n",
    "            best_alpha = alpha\n",
    "            best_score = score\n",
    "\n",
    "    print('best alpha = ', best_alpha)\n",
    "    print('best score = ', best_score)\n",
    "            \n",
    "    # Step 3: refit on entire dataset\n",
    "    full_dataset = pd.concat([train, test])\n",
    "    model = smf.glm(formula=model_formula,\n",
    "                    data=full_dataset,\n",
    "                    family=sm.families.NegativeBinomial(alpha=best_alpha))\n",
    "\n",
    "    fitted_model = model.fit()\n",
    "    return fitted_model\n",
    "    \n",
    "sj_best_model = get_best_model(sj_train_subtrain, sj_train_subtest)\n",
    "iq_best_model = get_best_model(iq_train_subtrain, iq_train_subtest)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f476e579c18>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f476e4970b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figs, axes = plt.subplots(nrows=2, ncols=1)\n",
    "\n",
    "# plot sj\n",
    "sj_train['fitted'] = sj_best_model.fittedvalues\n",
    "sj_train.fitted.plot(ax=axes[0], label=\"Predictions\")\n",
    "sj_train.total_cases.plot(ax=axes[0], label=\"Actual\")\n",
    "\n",
    "# plot iq\n",
    "iq_train['fitted'] = iq_best_model.fittedvalues\n",
    "iq_train.fitted.plot(ax=axes[1], label=\"Predictions\")\n",
    "iq_train.total_cases.plot(ax=axes[1], label=\"Actual\")\n",
    "\n",
    "plt.suptitle(\"Dengue Predicted Cases vs. Actual Cases\")\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Reflecting on our performance\n",
    "\n",
    "These graphs can actually tell us a lot about where our model is going wrong and give us some good hints about where investments will improve the model performance. For example, we see that our model in blue does track the seasonality of Dengue cases. However, the timing of the seasonality of our predictions has a mismatch with the actual results. One potential reason for this is that our features don't look far enough into the past--that is to say, we are asking to predict cases at the same time as we are measuring percipitation. Because dengue is misquito born, and the misquito lifecycle depends on water, we need to take both the life of a misquito and the time between infection and symptoms into account when modeling dengue. This is a critical avenue to explore when improving this model.\n",
    "\n",
    "The other important error is that our predictions are relatively consistent--we miss the spikes that are large outbreaks. One reason is that we don't take into account the contagiousness of dengue. A possible way to account for this is to build a model that progressively predicts a new value while taking into account the previous prediction. By training on the dengue outbreaks and then using the predicted number of patients in the week before, we can start to model this time dependence that the current model misses.\n",
    "\n",
    "So, we know we're not going to win this thing, but let's submit the model anyway!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "sj_test, iq_test = preprocess_data('/media/vajira/0FD50F0F0FD50F0F/Sem7_Academic/Data Mining/dengAI/dengue_features_test.csv')\n",
    "\n",
    "sj_predictions = sj_best_model.predict(sj_test).astype(int)\n",
    "iq_predictions = iq_best_model.predict(iq_test).astype(int)\n",
    "\n",
    "submission = pd.read_csv(\"/media/vajira/0FD50F0F0FD50F0F/Sem7_Academic/Data Mining/dengAI/submission_format.csv\",\n",
    "                         index_col=[0, 1, 2])\n",
    "\n",
    "submission.total_cases = np.concatenate([sj_predictions, iq_predictions])\n",
    "submission.to_csv(\"benchmark.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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