FirePrediction.ipynb

{
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  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "9owHpJecwq7g"
   },
   "source": [
    "# Fighting Fire with Data - Starter Notebook\n",
    "\n",
    "This notebook should help you get started with the 'Fighting Fire with Data' hackathon on Zindi. In it we cover:\n",
    "- Loading the data\n",
    "- Simple EDA and an example of feature enginnering\n",
    "- Suggestions for validation split\n",
    "- Creating a simple model\n",
    "- Making a submission\n",
    "- Some tips for improving your score\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "xKcJuq7bxof_"
   },
   "source": [
    "# Setup\n",
    "\n",
    "Make sure the files are available in the current directory. On Colab, upload them using the files tab on the left."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "id": "lwa4zIHBGh41",
    "outputId": "8e15a9ee-e727-4691-837d-703db95d6e72"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data/Test.csv  data/Train.csv  data/variable_definitions.csv\r\n"
     ]
    }
   ],
   "source": [
    "!ls data/*.csv # List files to check train, ss and test are present"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "2lLzfdilxfsY"
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from sklearn.linear_model import RidgeCV\n",
    "from sklearn.ensemble import *\n",
    "from sklearn.metrics import mean_squared_error, r2_score\n",
    "from matplotlib import pyplot as plt\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.svm import SVR, LinearSVR\n",
    "from sklearn.model_selection import GridSearchCV, StratifiedKFold\n",
    "from sklearn.utils.fixes import loguniform\n",
    "from scipy.stats import uniform as sp_rand\n",
    "import scipy.stats as stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "class FireCustomKFold:\n",
    "    \"\"\"\n",
    "        Class created to be used for cross-validation\n",
    "    \"\"\"\n",
    "    def __init__(self, n_splits=3):\n",
    "        self.n_splits = n_splits\n",
    "\n",
    "    def split(self, X, y, groups=None):\n",
    "        train = X.loc[train_all.date < '2011-01-01']\n",
    "        valid = X.loc[train_all.date >= '2011-01-01']\n",
    "        skf = StratifiedKFold(n_splits=self.n_splits)\n",
    "        for (rx, tx), (rmx, tmx) in zip(skf.split(train, y[train.index]), skf.split(test, y[test.index])):\n",
    "            yield rx, tmx\n",
    "\n",
    "    def get_n_splits(self, X, y, groups=None):\n",
    "        return self.n_splits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def process_data(df, test=False):\n",
    "    \"\"\"\n",
    "    Performs feature engineering on the dataset and returns the updated dataset.\n",
    "    \n",
    "    @param df: The Pandas DataFrame to process\n",
    "    @param test: boolean denoting whether there is a y variable to remove or not.\n",
    "    \"\"\"\n",
    "    \n",
    "    # The assumption is that the date was already passed\n",
    "    df.insert(df.shape[1], 'month', df.date.dt.month)\n",
    "    df.insert(df.shape[1], 'year', df.date.dt.year)\n",
    "    df.insert(df.shape[1], 'cold', np.zeros(df.shape[0]))\n",
    "    df.insert(df.shape[1], 'warm', np.zeros(df.shape[0]))\n",
    "    df.insert(df.shape[1], 'warmer', np.zeros(df.shape[0]))\n",
    "    df.insert(df.shape[1], 'hot', np.zeros(df.shape[0]))\n",
    "    \n",
    "    \n",
    "    # Based on the plot in for the months, let's create features for the temperature or season\n",
    "    df.loc[df.month.isin([1, 2, 3]), 'cold'] = 1\n",
    "    df.loc[df.month.isin([4, 5, 6, 11, 12]), 'warm'] = 1\n",
    "    df.loc[df.month.isin([7, 10]), 'warmer'] = 1\n",
    "    df.loc[df.month.isin([11, 12]), 'hot'] = 1\n",
    "    \n",
    "    # Some more features, out of the data\n",
    "    \n",
    "    #df.insert(df.shape[1], 'exp_climate_pr', np.exp(df.climate_pr))\n",
    "    df.insert(df.shape[1], 'exp_precipitation', np.exp(df.precipitation))\n",
    "    df.insert(df.shape[1], 'norm_climate_aet', stats.norm.pdf(df.climate_aet))\n",
    "    df.insert(df.shape[1], 'norm_climate_def', stats.norm.pdf(df.climate_def))\n",
    "    df.insert(df.shape[1], 'norm_climate_pet', stats.norm.pdf(df.climate_pet))\n",
    "    df.insert(df.shape[1], 'landcover_summary', df.landcover_0 + df.landcover_1 + df.landcover_2 + df.landcover_7 + df.landcover_8)\n",
    "    #df.insert(df.shape[1], 'exp_climate_pr', np.exp(df.climate_pr))\n",
    "    \n",
    "    #'climate_ro', 'landcover_0', 'landcover_1', 'landcover_2', 'landcover_7', 'landcover_8'\n",
    "    df.insert(df.shape[1], 'r1_precipitation', np.zeros(df.shape[0]))\n",
    "    df.insert(df.shape[1], 'r2_precipitation', np.zeros(df.shape[0]))\n",
    "    df.insert(df.shape[1], 'r3_precipitation', np.zeros(df.shape[0]))\n",
    "    \n",
    "    df.loc[df.precipitation < 0.1, 'r1_precipitation'] = 1\n",
    "    df.loc[(df.precipitation >= 0.1) & (df.precipitation < 0.2), 'r2_precipitation'] = 1\n",
    "    df.loc[df.precipitation >= 0.2, 'r3_precipitation'] = 1\n",
    "    \n",
    "    # Cols\n",
    "    in_cols = ['climate_aet', 'climate_def',\n",
    "       'climate_pdsi', 'climate_pet', 'climate_pr', 'climate_ro',\n",
    "       'climate_soil', 'climate_srad', 'climate_tmmn',\n",
    "       'climate_tmmx', 'climate_vap', 'climate_vpd', 'climate_vs', 'elevation',\n",
    "       'landcover_4', 'landcover_5', 'landcover_6', 'precipitation', 'cold', \n",
    "        'warm', 'warmer', 'hot', 'exp_precipitation', 'landcover_summary',\n",
    "        'r1_precipitation', 'r2_precipitation', 'r3_precipitation']\n",
    "               #, 'norm_climate_aet', 'norm_climate_def', 'norm_climate_pet', 'exp_climate_pr']\n",
    "    target_col = 'burn_area'\n",
    "    \n",
    "    if test:\n",
    "        return df[in_cols]\n",
    "    else:\n",
    "        return df[in_cols], df[target_col]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
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       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
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       "      <th>climate_aet</th>\n",
       "      <th>climate_def</th>\n",
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       "      <td>1190</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.516421</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.285109</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3_2001-01-01</td>\n",
       "      <td>-15.858835</td>\n",
       "      <td>29.987029</td>\n",
       "      <td>0.0</td>\n",
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       "             ID        lat        lon  burn_area  climate_aet  climate_def  \\\n",
       "0  0_2001-01-01 -15.858835  29.237029        0.0         1195            0   \n",
       "1  1_2001-01-01 -15.858835  29.487029        0.0         1196            0   \n",
       "2  2_2001-01-01 -15.858835  29.737029        0.0         1190            0   \n",
       "3  3_2001-01-01 -15.858835  29.987029        0.0         1144            0   \n",
       "4  4_2001-01-01 -15.858835  30.237029        0.0         1187            0   \n",
       "\n",
       "   climate_pdsi  climate_pet  climate_pr  climate_ro  ...  landcover_0  \\\n",
       "0           263         1195         206          10  ...          0.0   \n",
       "1           232         1196         201          10  ...          0.0   \n",
       "2           314         1190         192          10  ...          0.0   \n",
       "3           321         1144         186          66  ...          0.0   \n",
       "4           413         1187         186           9  ...          0.0   \n",
       "\n",
       "   landcover_1  landcover_2  landcover_3  landcover_4  landcover_5  \\\n",
       "0          0.0     0.018654          0.0     0.714446     0.012174   \n",
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       "2          0.0     0.000000          0.0     0.516421     0.000000   \n",
       "3          0.0     0.000000          0.0     0.299000     0.163902   \n",
       "4          0.0     0.000000          0.0     0.277392     0.067742   \n",
       "\n",
       "   landcover_6  landcover_7  landcover_8  precipitation  \n",
       "0     0.244890     0.009836          0.0       0.256932  \n",
       "1     0.345121     0.000000          0.0       0.273093  \n",
       "2     0.483579     0.000000          0.0       0.285109  \n",
       "3     0.537098     0.000000          0.0       0.298418  \n",
       "4     0.654866     0.000000          0.0       0.315621  \n",
       "\n",
       "[5 rows x 29 columns]"
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     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# The training data.\n",
    "train = pd.read_csv('data/Train.csv')\n",
    "train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
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       "      <td>1118</td>\n",
       "      <td>98</td>\n",
       "      <td>-405</td>\n",
       "      <td>1216</td>\n",
       "      <td>117</td>\n",
       "      <td>6</td>\n",
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       "      <td>1067</td>\n",
       "      <td>137</td>\n",
       "      <td>-468</td>\n",
       "      <td>1204</td>\n",
       "      <td>111</td>\n",
       "      <td>6</td>\n",
       "      <td>194</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.254791</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.419122</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3_2014-01-01</td>\n",
       "      <td>-15.858835</td>\n",
       "      <td>29.987029</td>\n",
       "      <td>969</td>\n",
       "      <td>187</td>\n",
       "      <td>-533</td>\n",
       "      <td>1156</td>\n",
       "      <td>101</td>\n",
       "      <td>5</td>\n",
       "      <td>78</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.219340</td>\n",
       "      <td>0.182153</td>\n",
       "      <td>0.598507</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.404596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4_2014-01-01</td>\n",
       "      <td>-15.858835</td>\n",
       "      <td>30.237029</td>\n",
       "      <td>927</td>\n",
       "      <td>270</td>\n",
       "      <td>-505</td>\n",
       "      <td>1197</td>\n",
       "      <td>96</td>\n",
       "      <td>5</td>\n",
       "      <td>139</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.220239</td>\n",
       "      <td>0.097748</td>\n",
       "      <td>0.682013</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.371100</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             ID        lat        lon  climate_aet  climate_def  climate_pdsi  \\\n",
       "0  0_2014-01-01 -15.858835  29.237029         1146           74          -451   \n",
       "1  1_2014-01-01 -15.858835  29.487029         1118           98          -405   \n",
       "2  2_2014-01-01 -15.858835  29.737029         1067          137          -468   \n",
       "3  3_2014-01-01 -15.858835  29.987029          969          187          -533   \n",
       "4  4_2014-01-01 -15.858835  30.237029          927          270          -505   \n",
       "\n",
       "   climate_pet  climate_pr  climate_ro  climate_soil  ...  landcover_0  \\\n",
       "0         1220         120           6           212  ...          0.0   \n",
       "1         1216         117           6           330  ...          0.0   \n",
       "2         1204         111           6           194  ...          0.0   \n",
       "3         1156         101           5            78  ...          0.0   \n",
       "4         1197          96           5           139  ...          0.0   \n",
       "\n",
       "   landcover_1  landcover_2  landcover_3  landcover_4  landcover_5  \\\n",
       "0     0.000615     0.015418          0.0     0.416704     0.023724   \n",
       "1     0.000000     0.000000          0.0     0.406436     0.000446   \n",
       "2     0.000000     0.000000          0.0     0.254791     0.000000   \n",
       "3     0.000000     0.000000          0.0     0.219340     0.182153   \n",
       "4     0.000000     0.000000          0.0     0.220239     0.097748   \n",
       "\n",
       "   landcover_6  landcover_7  landcover_8  precipitation  \n",
       "0     0.530016     0.013524          0.0       0.404243  \n",
       "1     0.593118     0.000000          0.0       0.421489  \n",
       "2     0.745209     0.000000          0.0       0.419122  \n",
       "3     0.598507     0.000000          0.0       0.404596  \n",
       "4     0.682013     0.000000          0.0       0.371100  \n",
       "\n",
       "[5 rows x 28 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# The test set - notice there is no 'burn_area' column.\n",
    "test = pd.read_csv('data/Test.csv')\n",
    "test.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "Tnl3iVg5xqfA"
   },
   "source": [
    "# EDA + Feature Engineering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 453
    },
    "colab_type": "code",
    "id": "DG4siNyqxrsi",
    "outputId": "09144d2c-09c9-4a17-ff4d-34ac32dae4b4"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f0dd9995160>"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Look at correlation with target\n",
    "train.corr()['burn_area'].sort_values().plot(kind='bar', figsize=(18, 6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 282
    },
    "colab_type": "code",
    "id": "DLVC6pU91PPE",
    "outputId": "98805359-1af7-407a-dfb2-c9bf6facdbb6"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x7200 with 23 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Look at some scatter plots (only plotting for a subset of data to keep things fast)\n",
    "sample = train.sample(10000)\n",
    "in_cols = ['climate_aet', 'climate_def',\n",
    "       'climate_pdsi', 'climate_pet', 'climate_pr', 'climate_ro',\n",
    "       'climate_soil', 'climate_srad', 'climate_tmmn',\n",
    "       'climate_tmmx', 'climate_vap', 'climate_vpd', 'climate_vs', 'elevation',\n",
    "       'landcover_0', 'landcover_1', 'landcover_2',\n",
    "       'landcover_4', 'landcover_5', 'landcover_6', 'landcover_7',\n",
    "       'landcover_8', 'precipitation']\n",
    "fig, axs = plt.subplots(len(in_cols), 1, figsize=(8,100))\n",
    "for col, ax in zip(in_cols, axs):\n",
    "    ax.scatter(sample[col], sample['burn_area'])\n",
    "    ax.set_title(col)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Verifying if there are NaNs in the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def utils_recognize_type(dtf, col, max_cat=20):\n",
    "    if (dtf[col].dtype == \"O\"):\n",
    "        return \"cat\"\n",
    "    else:\n",
    "        return \"num\"\n",
    "\n",
    "dtf = train.copy()\n",
    "dic_cols = {col:utils_recognize_type(dtf, col, max_cat=20) for col in dtf.columns}\n",
    "heatmap = dtf.isnull()\n",
    "for k,v in dic_cols.items():\n",
    "    if v == \"num\":\n",
    "        heatmap[k] = heatmap[k].apply(lambda x: 0.5 if x is False else 1)\n",
    "    else:\n",
    "        heatmap[k] = heatmap[k].apply(lambda x: 0 if x is False else 1)\n",
    "sns.heatmap(heatmap, cbar=False).set_title('Dataset Overview')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "RDCOsUvCz3dA"
   },
   "source": [
    "# Data Split for Validation\n",
    "\n",
    "We don't want to just split randomly - this would give us artificially high scores. Instead, let's use the last 3 years of the dataset for validation to more closely match the test configuration."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "id": "SCk5CZKI0Kt4",
    "outputId": "3a7d74f7-33b1-4656-c0a1-99de141791f8"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(63960, 30) (18655, 30)\n"
     ]
    }
   ],
   "source": [
    "train['date'] = pd.to_datetime(train['ID'].apply(lambda x: x.split('_')[1]))\n",
    "train_all = train.copy() #.fillna()\n",
    "_train = train_all.loc[train_all.date < '2011-01-01']\n",
    "_valid = train_all.loc[train_all.date > '2011-01-01']\n",
    "print(_train.shape, _valid.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "sIRFzOxTx3sE"
   },
   "source": [
    "# Model implementation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "id": "l-8j9zDpzUpc",
    "outputId": "9056a953-7826-469e-b00d-e76490275463"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/boladji/.local/lib/python3.8/site-packages/pandas/core/indexing.py:1765: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  isetter(loc, value)\n",
      "/home/boladji/.local/lib/python3.8/site-packages/pandas/core/indexing.py:1765: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  isetter(loc, value)\n",
      "/home/boladji/.local/lib/python3.8/site-packages/pandas/core/indexing.py:1765: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  isetter(loc, value)\n",
      "/home/boladji/.local/lib/python3.8/site-packages/pandas/core/indexing.py:1765: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  isetter(loc, value)\n",
      "/home/boladji/.local/lib/python3.8/site-packages/pandas/core/indexing.py:1765: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  isetter(loc, value)\n",
      "/home/boladji/.local/lib/python3.8/site-packages/pandas/core/indexing.py:1765: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  isetter(loc, value)\n",
      "/home/boladji/.local/lib/python3.8/site-packages/pandas/core/indexing.py:1765: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  isetter(loc, value)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(18655, 27) (63960, 27)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.024057860146161437"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get our X and y training and validation sets ready\n",
    "#X_train, y_train = train[in_cols], train[target_col]\n",
    "#X_valid, y_valid = valid[in_cols], valid[target_col]\n",
    "X_train, y_train = process_data(_train)\n",
    "X_val, y_val = process_data(_valid)\n",
    "\n",
    "print(X_val.shape, X_train.shape)\n",
    "\n",
    "# Create and fit the model. We use stack of models that perform well\n",
    "estimators = [\n",
    "    ('lr', RidgeCV(alphas=[1e-3, 1e-2, 0.1, 1])),\n",
    "    ('lsvr', LinearSVR(random_state=32, loss='squared_epsilon_insensitive', C=0.1, max_iter=10000)),\n",
    "    ('svr', SVR()),\n",
    "    ('rf', RandomForestRegressor(random_state=32))\n",
    "]\n",
    "\n",
    "reg = StackingRegressor(\n",
    "    estimators=estimators,\n",
    "    final_estimator=GradientBoostingRegressor(random_state=32)\n",
    ")\n",
    "pipeline = Pipeline([('scaler', StandardScaler()), ('regressor', reg)])\n",
    "pipeline.fit(X_train, y_train)\n",
    "\n",
    "# Make predictions\n",
    "preds = pipeline.predict(X_val)\n",
    "\n",
    "mean_squared_error(y_val, preds)**0.5 # RMSE - should match Zindi score. Lower is better"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Pipeline(steps=[('scaler', StandardScaler()),\n",
       "                ('ridge',\n",
       "                 StackingRegressor(estimators=[('lr',\n",
       "                                                RidgeCV(alphas=array([0.001, 0.01 , 0.1  , 1.   ]))),\n",
       "                                               ('lsvr',\n",
       "                                                LinearSVR(C=0.1,\n",
       "                                                          loss='squared_epsilon_insensitive',\n",
       "                                                          max_iter=10000,\n",
       "                                                          random_state=32)),\n",
       "                                               ('svr', SVR()),\n",
       "                                               ('rf',\n",
       "                                                RandomForestRegressor(random_state=32))],\n",
       "                                   final_estimator=GradientBoostingRegressor(random_state=32)))])"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Train on the full dataset\n",
    "X_full, y_full = process_data(train_all)\n",
    "pipeline.fit(X_full, y_full)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "Eq7DM0URkkai"
   },
   "source": [
    "# Making A Submission\n",
    "\n",
    "Once you've got some features and a model you're happy with, it's time to submit!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 204
    },
    "colab_type": "code",
    "id": "bb8DdgWskqQs",
    "outputId": "ea58dea4-7ba7-4ced-d1e5-5d7f2aef02ce"
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>burn_area</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0_2014-01-01</td>\n",
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       "      <th>1</th>\n",
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       "      <td>2_2014-01-01</td>\n",
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       "      <th>4</th>\n",
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       "      <td>0</td>\n",
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      "text/plain": [
       "             ID  burn_area\n",
       "0  0_2014-01-01          0\n",
       "1  1_2014-01-01          0\n",
       "2  2_2014-01-01          0\n",
       "3  3_2014-01-01          0\n",
       "4  4_2014-01-01          0"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Look at the sample submission file\n",
    "ss = pd.read_csv('submission/SampleSubmission.csv')\n",
    "ss.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 309
    },
    "colab_type": "code",
    "id": "MlKjnZ8WkvaX",
    "outputId": "9b363b73-ea6e-45bb-e35d-0d43dc75fc4a"
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   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>climate_aet</th>\n",
       "      <th>climate_def</th>\n",
       "      <th>climate_pdsi</th>\n",
       "      <th>climate_pet</th>\n",
       "      <th>climate_pr</th>\n",
       "      <th>climate_ro</th>\n",
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       "      <th>hot</th>\n",
       "      <th>exp_precipitation</th>\n",
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       "      <th>r1_precipitation</th>\n",
       "      <th>r2_precipitation</th>\n",
       "      <th>r3_precipitation</th>\n",
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       "      <td>1216</td>\n",
       "      <td>117</td>\n",
       "      <td>6</td>\n",
       "      <td>330</td>\n",
       "      <td>1973</td>\n",
       "      <td>216</td>\n",
       "      <td>304</td>\n",
       "      <td>...</td>\n",
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       "      <td>1.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1067</td>\n",
       "      <td>137</td>\n",
       "      <td>-468</td>\n",
       "      <td>1204</td>\n",
       "      <td>111</td>\n",
       "      <td>6</td>\n",
       "      <td>194</td>\n",
       "      <td>1958</td>\n",
       "      <td>214</td>\n",
       "      <td>302</td>\n",
       "      <td>...</td>\n",
       "      <td>0.419122</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.520626</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>969</td>\n",
       "      <td>187</td>\n",
       "      <td>-533</td>\n",
       "      <td>1156</td>\n",
       "      <td>101</td>\n",
       "      <td>5</td>\n",
       "      <td>78</td>\n",
       "      <td>1954</td>\n",
       "      <td>202</td>\n",
       "      <td>290</td>\n",
       "      <td>...</td>\n",
       "      <td>0.404596</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
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       "      <th>4</th>\n",
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       "      <td>96</td>\n",
       "      <td>5</td>\n",
       "      <td>139</td>\n",
       "      <td>1939</td>\n",
       "      <td>210</td>\n",
       "      <td>301</td>\n",
       "      <td>...</td>\n",
       "      <td>0.371100</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.449329</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 27 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   climate_aet  climate_def  climate_pdsi  climate_pet  climate_pr  \\\n",
       "0         1146           74          -451         1220         120   \n",
       "1         1118           98          -405         1216         117   \n",
       "2         1067          137          -468         1204         111   \n",
       "3          969          187          -533         1156         101   \n",
       "4          927          270          -505         1197          96   \n",
       "\n",
       "   climate_ro  climate_soil  climate_srad  climate_tmmn  climate_tmmx  ...  \\\n",
       "0           6           212          1974           217           303  ...   \n",
       "1           6           330          1973           216           304  ...   \n",
       "2           6           194          1958           214           302  ...   \n",
       "3           5            78          1954           202           290  ...   \n",
       "4           5           139          1939           210           301  ...   \n",
       "\n",
       "   precipitation  cold  warm  warmer  hot  exp_precipitation  \\\n",
       "0       0.404243   1.0   0.0     0.0  0.0           1.498168   \n",
       "1       0.421489   1.0   0.0     0.0  0.0           1.524230   \n",
       "2       0.419122   1.0   0.0     0.0  0.0           1.520626   \n",
       "3       0.404596   1.0   0.0     0.0  0.0           1.498696   \n",
       "4       0.371100   1.0   0.0     0.0  0.0           1.449329   \n",
       "\n",
       "   landcover_summary  r1_precipitation  r2_precipitation  r3_precipitation  \n",
       "0           0.029557               0.0               0.0               1.0  \n",
       "1           0.000000               0.0               0.0               1.0  \n",
       "2           0.000000               0.0               0.0               1.0  \n",
       "3           0.000000               0.0               0.0               1.0  \n",
       "4           0.000000               0.0               0.0               1.0  \n",
       "\n",
       "[5 rows x 27 columns]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# And the test data\n",
    "# The test set - notice there is no 'burn_area' column.\n",
    "test = pd.read_csv('data/Test.csv')\n",
    "test.head()\n",
    "test['date'] = pd.to_datetime(train['ID'].apply(lambda x: x.split('_')[1]))\n",
    "X_test = process_data(test, test=True)\n",
    "X_test.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
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       "          burn_area\n",
       "count  25584.000000\n",
       "mean       0.008604\n",
       "std        0.017846\n",
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       "25%        0.000273\n",
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   ],
   "source": [
    "preds = pipeline.predict(X_test) # fillna(0) here could be improved by examining the missing data and filling more appropriately.\n",
    "\n",
    "# Add to submission dataframe\n",
    "ss.loc[:, 'burn_area'] = preds\n",
    "\n",
    "ss.loc[:, 'burn_area'] = ss.loc[:, 'burn_area'].clip(0, 1)\n",
    "# View\n",
    "ss.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "13Ns-f5blIEs"
   },
   "outputs": [],
   "source": [
    "# Save ready for submission:\n",
    "ss.to_csv('submission/submission.csv', index=False)"
   ]
  }
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