{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "89405a63",
   "metadata": {},
   "source": [
    "# Shapash in Jupyter - GLM Regression Overview\n",
    "\n",
    "This tutorial shows how to:\n",
    "- train a GLM regressor on House Prices data\n",
    "- evaluate predictions\n",
    "- use Shapash for global and local explainability\n",
    "- optionally launch the Shapash webapp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e578ffed",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "from category_encoders import one_hot\n",
    "from sklearn.linear_model import GammaRegressor\n",
    "from sklearn.metrics import mean_absolute_error, root_mean_squared_error, r2_score\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.pipeline import make_pipeline\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "from shapash import SmartExplainer\n",
    "from shapash.data.data_loader import data_loading"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8f62b4ae",
   "metadata": {},
   "source": [
    "## 1. Build a GLM regressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "67c70817",
   "metadata": {},
   "outputs": [
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       "      <td>Slightly irregular</td>\n",
       "      <td>Near Flat/Level</td>\n",
       "      <td>All public Utilities (E,G,W,&amp; S)</td>\n",
       "      <td>Inside lot</td>\n",
       "      <td>Gentle slope</td>\n",
       "      <td>College Creek</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>2008</td>\n",
       "      <td>Warranty Deed - Conventional</td>\n",
       "      <td>Normal Sale</td>\n",
       "      <td>223500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2-Story 1945 &amp; Older</td>\n",
       "      <td>Residential Low Density</td>\n",
       "      <td>9550</td>\n",
       "      <td>Paved</td>\n",
       "      <td>Slightly irregular</td>\n",
       "      <td>Near Flat/Level</td>\n",
       "      <td>All public Utilities (E,G,W,&amp; S)</td>\n",
       "      <td>Corner lot</td>\n",
       "      <td>Gentle slope</td>\n",
       "      <td>Crawford</td>\n",
       "      <td>...</td>\n",
       "      <td>272</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2006</td>\n",
       "      <td>Warranty Deed - Conventional</td>\n",
       "      <td>Abnormal Sale</td>\n",
       "      <td>140000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2-Story 1946 &amp; Newer</td>\n",
       "      <td>Residential Low Density</td>\n",
       "      <td>14260</td>\n",
       "      <td>Paved</td>\n",
       "      <td>Slightly irregular</td>\n",
       "      <td>Near Flat/Level</td>\n",
       "      <td>All public Utilities (E,G,W,&amp; S)</td>\n",
       "      <td>Frontage on 2 sides of property</td>\n",
       "      <td>Gentle slope</td>\n",
       "      <td>Northridge</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>2008</td>\n",
       "      <td>Warranty Deed - Conventional</td>\n",
       "      <td>Normal Sale</td>\n",
       "      <td>250000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 73 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                         MSSubClass                 MSZoning  LotArea Street  \\\n",
       "Id                                                                             \n",
       "1              2-Story 1946 & Newer  Residential Low Density     8450  Paved   \n",
       "2   1-Story 1946 & Newer All Styles  Residential Low Density     9600  Paved   \n",
       "3              2-Story 1946 & Newer  Residential Low Density    11250  Paved   \n",
       "4              2-Story 1945 & Older  Residential Low Density     9550  Paved   \n",
       "5              2-Story 1946 & Newer  Residential Low Density    14260  Paved   \n",
       "\n",
       "              LotShape      LandContour                         Utilities  \\\n",
       "Id                                                                          \n",
       "1              Regular  Near Flat/Level  All public Utilities (E,G,W,& S)   \n",
       "2              Regular  Near Flat/Level  All public Utilities (E,G,W,& S)   \n",
       "3   Slightly irregular  Near Flat/Level  All public Utilities (E,G,W,& S)   \n",
       "4   Slightly irregular  Near Flat/Level  All public Utilities (E,G,W,& S)   \n",
       "5   Slightly irregular  Near Flat/Level  All public Utilities (E,G,W,& S)   \n",
       "\n",
       "                          LotConfig     LandSlope   Neighborhood  ...  \\\n",
       "Id                                                                ...   \n",
       "1                        Inside lot  Gentle slope  College Creek  ...   \n",
       "2   Frontage on 2 sides of property  Gentle slope        Veenker  ...   \n",
       "3                        Inside lot  Gentle slope  College Creek  ...   \n",
       "4                        Corner lot  Gentle slope       Crawford  ...   \n",
       "5   Frontage on 2 sides of property  Gentle slope     Northridge  ...   \n",
       "\n",
       "   EnclosedPorch 3SsnPorch ScreenPorch PoolArea  MiscVal  MoSold  YrSold  \\\n",
       "Id                                                                         \n",
       "1              0         0           0        0        0       2    2008   \n",
       "2              0         0           0        0        0       5    2007   \n",
       "3              0         0           0        0        0       9    2008   \n",
       "4            272         0           0        0        0       2    2006   \n",
       "5              0         0           0        0        0      12    2008   \n",
       "\n",
       "                        SaleType  SaleCondition SalePrice  \n",
       "Id                                                         \n",
       "1   Warranty Deed - Conventional    Normal Sale    208500  \n",
       "2   Warranty Deed - Conventional    Normal Sale    181500  \n",
       "3   Warranty Deed - Conventional    Normal Sale    223500  \n",
       "4   Warranty Deed - Conventional  Abnormal Sale    140000  \n",
       "5   Warranty Deed - Conventional    Normal Sale    250000  \n",
       "\n",
       "[5 rows x 73 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "house_df, house_dict = data_loading('house_prices')\n",
    "house_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "802ccc20",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((1095, 282), (365, 282))"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y = house_df['SalePrice']\n",
    "X = house_df[house_df.columns.difference(['SalePrice'])].copy()\n",
    "\n",
    "categorical_features = [col for col in X.columns if X[col].dtype == 'object']\n",
    "\n",
    "# For GLM, one-hot encoding is safer for nominal categorical variables\n",
    "encoder = one_hot.OneHotEncoder(\n",
    "    cols=categorical_features,\n",
    "    use_cat_names=True\n",
    ").fit(X)\n",
    "\n",
    "X = encoder.transform(X)\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(\n",
    "    X, y,\n",
    "    train_size=0.75,\n",
    "    random_state=1\n",
    ")\n",
    "\n",
    "X_train.shape, X_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "93f5d873",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "index",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "0",
         "rawType": "object",
         "type": "unknown"
        }
       ],
       "ref": "b104688f-4032-4b5b-8c94-2d253262b1f7",
       "rows": [
        [
         "MAE",
         "[14839.960193657058]"
        ],
        [
         "RMSE",
         "[21797.67635499144]"
        ],
        [
         "R2",
         "[0.9292235133732485]"
        ]
       ],
       "shape": {
        "columns": 1,
        "rows": 3
       }
      },
      "text/plain": [
       "MAE     [14839.960193657058]\n",
       "RMSE     [21797.67635499144]\n",
       "R2      [0.9292235133732485]\n",
       "dtype: object"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Scale features before fitting GLM to improve optimizer convergence\n",
    "glm_regressor = make_pipeline(\n",
    "    StandardScaler(),\n",
    "    GammaRegressor(alpha=0.01, max_iter=10000)\n",
    " )\n",
    "glm_regressor.fit(X_train, y_train)\n",
    "\n",
    "y_pred_values = glm_regressor.predict(X_test)\n",
    "\n",
    "metrics = pd.Series(\n",
    "    {\n",
    "        'MAE': [mean_absolute_error(y_test, y_pred_values)],\n",
    "        'RMSE': [root_mean_squared_error(y_test, y_pred_values)],\n",
    "        'R2': [r2_score(y_test, y_pred_values)],\n",
    "    }\n",
    ")\n",
    "metrics"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4934f182",
   "metadata": {},
   "source": [
    "## 2. Compile SmartExplainer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9a73dff0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO: Shap explainer type - shap.explainers.PermutationExplainer()\n"
     ]
    }
   ],
   "source": [
    "y_pred = pd.DataFrame(y_pred_values, columns=['pred'], index=X_test.index)\n",
    "y_target = y_test.to_frame(name='SalePrice')\n",
    "\n",
    "xpl = SmartExplainer(\n",
    "    model=glm_regressor,\n",
    "    preprocessing=encoder,\n",
    "    features_dict=house_dict,\n",
    "    title_story='House Prices - GLM Regressor'\n",
    ")\n",
    "\n",
    "xpl.compile(\n",
    "    x=X_test,\n",
    "    y_pred=y_pred,\n",
    "    y_target=y_target\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "156b281c",
   "metadata": {},
   "source": [
    "## 3. Explainability in notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5f60c5d1",
   "metadata": {},
   "outputs": [
    {
     "data": {
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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xpl.plot.features_importance()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1b456ada",
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = xpl.plot.contribution_plot('OverallQual')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "166f4ff2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "first_index = X_test.index[0]\n",
    "xpl.plot.local_plot(index=first_index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "0bb326fb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "index",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "pred",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "feature_1",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "value_1",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "contribution_1",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "feature_2",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "value_2",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "contribution_2",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "feature_3",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "value_3",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "contribution_3",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "feature_4",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "value_4",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "contribution_4",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "feature_5",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "value_5",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "contribution_5",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "feature_6",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "value_6",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "contribution_6",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "feature_7",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "value_7",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "contribution_7",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "feature_8",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "value_8",
         "rawType": "object",
         "type": "unknown"
        },
        {
         "name": "contribution_8",
         "rawType": "object",
         "type": "unknown"
        }
       ],
       "ref": "504a3031-dfcc-4501-86fd-778851747aae",
       "rows": [
        [
         "259",
         "215231.5106611304",
         "Second floor square feet",
         "829",
         "7212.755290073197",
         "Original construction date",
         "2001",
         "6387.987536386587",
         "Three season porch area in square feet",
         "245",
         "6019.076584866372",
         "First Floor square feet",
         "963",
         "-4743.221369030754",
         "Overall material and finish of the house",
         "7",
         "4495.137907032957",
         "Half baths above grade",
         "1",
         "4058.7359820799757",
         "Exterior covering on house",
         "Vinyl Siding",
         "3440.4854409044783",
         "Ground living area square feet",
         "1792",
         "3248.7122267793457"
        ],
        [
         "268",
         "160397.67809437975",
         "Building Class",
         "2-1/2 Story All Ages",
         "-21612.88425166956",
         "Overall condition of the house",
         "8",
         "12250.94427712301",
         "Ground living area square feet",
         "2192",
         "10575.561484358608",
         "Overall material and finish of the house",
         "5",
         "-10167.20484757243",
         "Size of garage in square feet",
         "240",
         "-9545.699803404874",
         "Low quality finished square feet",
         "420",
         "9028.738252412397",
         "Original construction date",
         "1939",
         "-7836.722046168477",
         "Rating of basement finished area",
         "Low Quality",
         "-5422.044480600729"
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        [
         "289",
         "115701.50898255369",
         "Ground living area square feet",
         "900",
         "-12626.356559544765",
         "Overall material and finish of the house",
         "5",
         "-8356.891289629144",
         "Size of garage in square feet",
         "280",
         "-7095.894950394424",
         "Second floor square feet",
         "0",
         "-5501.781622115341",
         "First Floor square feet",
         "900",
         "-4334.867375794303",
         "Full bathrooms above grade",
         "1",
         "-3159.065666448798",
         "Physical locations within Ames city limits",
         "Sawyer",
         "-3075.7448036419446",
         "Number of fireplaces",
         "0",
         "-3056.889288260434"
        ],
        [
         "650",
         "80205.25820717342",
         "Physical locations within Ames city limits",
         "Meadow Village",
         "-17473.85284242149",
         "Ground living area square feet",
         "630",
         "-14787.89697701831",
         "Size of garage in square feet",
         "0",
         "-14247.38958574611",
         "Other exterior covering on house",
         "Cement Board",
         "12299.6126664529",
         "Overall material and finish of the house",
         "4",
         "-11790.65484841216",
         "Exterior covering on house",
         "Cement Board",
         "-10484.672845643523",
         "Style of dwelling",
         "Split Foyer",
         "-7235.05563525961",
         "First Floor square feet",
         "630",
         "-6718.703928454597"
        ],
        [
         "1234",
         "130344.53615832591",
         "Condition of sale",
         "Abnormal Sale",
         "-9608.452839338519",
         "Overall material and finish of the house",
         "5",
         "-8885.74713697267",
         "Ground living area square feet",
         "1188",
         "-8100.302991642966",
         "Physical locations within Ames city limits",
         "North Ames",
         "-5811.172021709208",
         "Second floor square feet",
         "0",
         "-5756.506193918583",
         "Type 1 finished square feet",
         "1000",
         "4126.536304233188",
         "Heating quality and condition",
         "Fair",
         "-4000.527692479707",
         "Full bathrooms above grade",
         "1",
         "-3461.3243221628218"
        ],
        [
         "168",
         "352193.5121478477",
         "Type of sale",
         "Home just constructed and sold",
         "27423.64340996575",
         "Physical locations within Ames city limits",
         "Northridge Heights",
         "26264.829847822635",
         "Overall material and finish of the house",
         "8",
         "15713.549155214947",
         "Size of garage in square feet",
         "789",
         "15706.952256272387",
         "Ground living area square feet",
         "2161",
         "15303.678925778804",
         "Kitchen quality",
         "Excellent",
         "13895.52014304763",
         "Condition of sale",
         "Home wasn't completed",
         "-13460.690593758743",
         "Type 1 finished square feet",
         "1288",
         "10685.074458585266"
        ],
        [
         "927",
         "295017.3190975271",
         "Physical locations within Ames city limits",
         "Northridge Heights",
         "23176.411653438146",
         "Ground living area square feet",
         "2374",
         "19431.40148795664",
         "Second floor square feet",
         "1140",
         "15255.715261881123",
         "Overall material and finish of the house",
         "8",
         "15055.813328605946",
         "Kitchen quality",
         "Excellent",
         "12034.304355735017",
         "Original construction date",
         "2003",
         "8068.794322595597",
         "Size of garage in square feet",
         "656",
         "7847.434879068867",
         "Type 1 finished square feet",
         "0",
         "-5794.106905679495"
        ],
        [
         "832",
         "154075.13401638085",
         "Building Class",
         "2-Story PUD-1946 & Newer",
         "-13398.223080421012",
         "First Floor square feet",
         "520",
         "-11003.949501372059",
         "Ground living area square feet",
         "1200",
         "-8430.064483919952",
         "Physical locations within Ames city limits",
         "Somerset",
         "6934.560627184983",
         "Original construction date",
         "2005",
         "6333.763523697155",
         "Total square feet of basement area",
         "600",
         "-4856.809902567533",
         "General zoning classification",
         "Floating Village Residential",
         "4332.979450504819",
         "Type 1 finished square feet",
         "0",
         "-4234.92463289373"
        ],
        [
         "1238",
         "202185.0423607004",
         "Second floor square feet",
         "1101",
         "11612.437375876514",
         "Original construction date",
         "2004",
         "6908.342505239838",
         "First Floor square feet",
         "847",
         "-6712.185727072225",
         "Ground living area square feet",
         "1948",
         "6571.959349313649",
         "Type 1 finished square feet",
         "0",
         "-4905.248373211274",
         "Overall material and finish of the house",
         "7",
         "4247.43785285874",
         "Half baths above grade",
         "1",
         "3896.8501899891708",
         "Exterior covering on house",
         "Vinyl Siding",
         "3281.5301733546657"
        ],
        [
         "427",
         "245162.6944361418",
         "Screen porch area in square feet",
         "396",
         "16317.597159138168",
         "Type 1 finished square feet",
         "1518",
         "11626.876519366808",
         "Refers to walkout or garden level walls",
         "Good Exposure",
         "10301.28246507603",
         "Style of dwelling",
         "Split Level",
         "9744.65139428174",
         "Flatness of the property",
         "Depression",
         "-9292.62557050689",
         "First Floor square feet",
         "1644",
         "8228.216185863552",
         "Second floor square feet",
         "0",
         "-7922.166877023483",
         "Building Class",
         "Split or Multi-Level",
         "-7435.296435692653"
        ]
       ],
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pred</th>\n",
       "      <th>feature_1</th>\n",
       "      <th>value_1</th>\n",
       "      <th>contribution_1</th>\n",
       "      <th>feature_2</th>\n",
       "      <th>value_2</th>\n",
       "      <th>contribution_2</th>\n",
       "      <th>feature_3</th>\n",
       "      <th>value_3</th>\n",
       "      <th>contribution_3</th>\n",
       "      <th>...</th>\n",
       "      <th>contribution_5</th>\n",
       "      <th>feature_6</th>\n",
       "      <th>value_6</th>\n",
       "      <th>contribution_6</th>\n",
       "      <th>feature_7</th>\n",
       "      <th>value_7</th>\n",
       "      <th>contribution_7</th>\n",
       "      <th>feature_8</th>\n",
       "      <th>value_8</th>\n",
       "      <th>contribution_8</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>215231.510661</td>\n",
       "      <td>Second floor square feet</td>\n",
       "      <td>829</td>\n",
       "      <td>7212.75529</td>\n",
       "      <td>Original construction date</td>\n",
       "      <td>2001</td>\n",
       "      <td>6387.987536</td>\n",
       "      <td>Three season porch area in square feet</td>\n",
       "      <td>245</td>\n",
       "      <td>6019.076585</td>\n",
       "      <td>...</td>\n",
       "      <td>4495.137907</td>\n",
       "      <td>Half baths above grade</td>\n",
       "      <td>1</td>\n",
       "      <td>4058.735982</td>\n",
       "      <td>Exterior covering on house</td>\n",
       "      <td>Vinyl Siding</td>\n",
       "      <td>3440.485441</td>\n",
       "      <td>Ground living area square feet</td>\n",
       "      <td>1792</td>\n",
       "      <td>3248.712227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268</th>\n",
       "      <td>160397.678094</td>\n",
       "      <td>Building Class</td>\n",
       "      <td>2-1/2 Story All Ages</td>\n",
       "      <td>-21612.884252</td>\n",
       "      <td>Overall condition of the house</td>\n",
       "      <td>8</td>\n",
       "      <td>12250.944277</td>\n",
       "      <td>Ground living area square feet</td>\n",
       "      <td>2192</td>\n",
       "      <td>10575.561484</td>\n",
       "      <td>...</td>\n",
       "      <td>-9545.699803</td>\n",
       "      <td>Low quality finished square feet</td>\n",
       "      <td>420</td>\n",
       "      <td>9028.738252</td>\n",
       "      <td>Original construction date</td>\n",
       "      <td>1939</td>\n",
       "      <td>-7836.722046</td>\n",
       "      <td>Rating of basement finished area</td>\n",
       "      <td>Low Quality</td>\n",
       "      <td>-5422.044481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>289</th>\n",
       "      <td>115701.508983</td>\n",
       "      <td>Ground living area square feet</td>\n",
       "      <td>900</td>\n",
       "      <td>-12626.35656</td>\n",
       "      <td>Overall material and finish of the house</td>\n",
       "      <td>5</td>\n",
       "      <td>-8356.89129</td>\n",
       "      <td>Size of garage in square feet</td>\n",
       "      <td>280</td>\n",
       "      <td>-7095.89495</td>\n",
       "      <td>...</td>\n",
       "      <td>-4334.867376</td>\n",
       "      <td>Full bathrooms above grade</td>\n",
       "      <td>1</td>\n",
       "      <td>-3159.065666</td>\n",
       "      <td>Physical locations within Ames city limits</td>\n",
       "      <td>Sawyer</td>\n",
       "      <td>-3075.744804</td>\n",
       "      <td>Number of fireplaces</td>\n",
       "      <td>0</td>\n",
       "      <td>-3056.889288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>650</th>\n",
       "      <td>80205.258207</td>\n",
       "      <td>Physical locations within Ames city limits</td>\n",
       "      <td>Meadow Village</td>\n",
       "      <td>-17473.852842</td>\n",
       "      <td>Ground living area square feet</td>\n",
       "      <td>630</td>\n",
       "      <td>-14787.896977</td>\n",
       "      <td>Size of garage in square feet</td>\n",
       "      <td>0</td>\n",
       "      <td>-14247.389586</td>\n",
       "      <td>...</td>\n",
       "      <td>-11790.654848</td>\n",
       "      <td>Exterior covering on house</td>\n",
       "      <td>Cement Board</td>\n",
       "      <td>-10484.672846</td>\n",
       "      <td>Style of dwelling</td>\n",
       "      <td>Split Foyer</td>\n",
       "      <td>-7235.055635</td>\n",
       "      <td>First Floor square feet</td>\n",
       "      <td>630</td>\n",
       "      <td>-6718.703928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1234</th>\n",
       "      <td>130344.536158</td>\n",
       "      <td>Condition of sale</td>\n",
       "      <td>Abnormal Sale</td>\n",
       "      <td>-9608.452839</td>\n",
       "      <td>Overall material and finish of the house</td>\n",
       "      <td>5</td>\n",
       "      <td>-8885.747137</td>\n",
       "      <td>Ground living area square feet</td>\n",
       "      <td>1188</td>\n",
       "      <td>-8100.302992</td>\n",
       "      <td>...</td>\n",
       "      <td>-5756.506194</td>\n",
       "      <td>Type 1 finished square feet</td>\n",
       "      <td>1000</td>\n",
       "      <td>4126.536304</td>\n",
       "      <td>Heating quality and condition</td>\n",
       "      <td>Fair</td>\n",
       "      <td>-4000.527692</td>\n",
       "      <td>Full bathrooms above grade</td>\n",
       "      <td>1</td>\n",
       "      <td>-3461.324322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>352193.512148</td>\n",
       "      <td>Type of sale</td>\n",
       "      <td>Home just constructed and sold</td>\n",
       "      <td>27423.64341</td>\n",
       "      <td>Physical locations within Ames city limits</td>\n",
       "      <td>Northridge Heights</td>\n",
       "      <td>26264.829848</td>\n",
       "      <td>Overall material and finish of the house</td>\n",
       "      <td>8</td>\n",
       "      <td>15713.549155</td>\n",
       "      <td>...</td>\n",
       "      <td>15303.678926</td>\n",
       "      <td>Kitchen quality</td>\n",
       "      <td>Excellent</td>\n",
       "      <td>13895.520143</td>\n",
       "      <td>Condition of sale</td>\n",
       "      <td>Home wasn't completed</td>\n",
       "      <td>-13460.690594</td>\n",
       "      <td>Type 1 finished square feet</td>\n",
       "      <td>1288</td>\n",
       "      <td>10685.074459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>927</th>\n",
       "      <td>295017.319098</td>\n",
       "      <td>Physical locations within Ames city limits</td>\n",
       "      <td>Northridge Heights</td>\n",
       "      <td>23176.411653</td>\n",
       "      <td>Ground living area square feet</td>\n",
       "      <td>2374</td>\n",
       "      <td>19431.401488</td>\n",
       "      <td>Second floor square feet</td>\n",
       "      <td>1140</td>\n",
       "      <td>15255.715262</td>\n",
       "      <td>...</td>\n",
       "      <td>12034.304356</td>\n",
       "      <td>Original construction date</td>\n",
       "      <td>2003</td>\n",
       "      <td>8068.794323</td>\n",
       "      <td>Size of garage in square feet</td>\n",
       "      <td>656</td>\n",
       "      <td>7847.434879</td>\n",
       "      <td>Type 1 finished square feet</td>\n",
       "      <td>0</td>\n",
       "      <td>-5794.106906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>832</th>\n",
       "      <td>154075.134016</td>\n",
       "      <td>Building Class</td>\n",
       "      <td>2-Story PUD-1946 &amp; Newer</td>\n",
       "      <td>-13398.22308</td>\n",
       "      <td>First Floor square feet</td>\n",
       "      <td>520</td>\n",
       "      <td>-11003.949501</td>\n",
       "      <td>Ground living area square feet</td>\n",
       "      <td>1200</td>\n",
       "      <td>-8430.064484</td>\n",
       "      <td>...</td>\n",
       "      <td>6333.763524</td>\n",
       "      <td>Total square feet of basement area</td>\n",
       "      <td>600</td>\n",
       "      <td>-4856.809903</td>\n",
       "      <td>General zoning classification</td>\n",
       "      <td>Floating Village Residential</td>\n",
       "      <td>4332.979451</td>\n",
       "      <td>Type 1 finished square feet</td>\n",
       "      <td>0</td>\n",
       "      <td>-4234.924633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1238</th>\n",
       "      <td>202185.042361</td>\n",
       "      <td>Second floor square feet</td>\n",
       "      <td>1101</td>\n",
       "      <td>11612.437376</td>\n",
       "      <td>Original construction date</td>\n",
       "      <td>2004</td>\n",
       "      <td>6908.342505</td>\n",
       "      <td>First Floor square feet</td>\n",
       "      <td>847</td>\n",
       "      <td>-6712.185727</td>\n",
       "      <td>...</td>\n",
       "      <td>-4905.248373</td>\n",
       "      <td>Overall material and finish of the house</td>\n",
       "      <td>7</td>\n",
       "      <td>4247.437853</td>\n",
       "      <td>Half baths above grade</td>\n",
       "      <td>1</td>\n",
       "      <td>3896.85019</td>\n",
       "      <td>Exterior covering on house</td>\n",
       "      <td>Vinyl Siding</td>\n",
       "      <td>3281.530173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>427</th>\n",
       "      <td>245162.694436</td>\n",
       "      <td>Screen porch area in square feet</td>\n",
       "      <td>396</td>\n",
       "      <td>16317.597159</td>\n",
       "      <td>Type 1 finished square feet</td>\n",
       "      <td>1518</td>\n",
       "      <td>11626.876519</td>\n",
       "      <td>Refers to walkout or garden level walls</td>\n",
       "      <td>Good Exposure</td>\n",
       "      <td>10301.282465</td>\n",
       "      <td>...</td>\n",
       "      <td>-9292.625571</td>\n",
       "      <td>First Floor square feet</td>\n",
       "      <td>1644</td>\n",
       "      <td>8228.216186</td>\n",
       "      <td>Second floor square feet</td>\n",
       "      <td>0</td>\n",
       "      <td>-7922.166877</td>\n",
       "      <td>Building Class</td>\n",
       "      <td>Split or Multi-Level</td>\n",
       "      <td>-7435.296436</td>\n",
       "    </tr>\n",
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      ],
      "text/plain": [
       "               pred                                   feature_1  \\\n",
       "259   215231.510661                    Second floor square feet   \n",
       "268   160397.678094                              Building Class   \n",
       "289   115701.508983              Ground living area square feet   \n",
       "650    80205.258207  Physical locations within Ames city limits   \n",
       "1234  130344.536158                           Condition of sale   \n",
       "168   352193.512148                                Type of sale   \n",
       "927   295017.319098  Physical locations within Ames city limits   \n",
       "832   154075.134016                              Building Class   \n",
       "1238  202185.042361                    Second floor square feet   \n",
       "427   245162.694436            Screen porch area in square feet   \n",
       "\n",
       "                             value_1 contribution_1  \\\n",
       "259                              829     7212.75529   \n",
       "268             2-1/2 Story All Ages  -21612.884252   \n",
       "289                              900   -12626.35656   \n",
       "650                   Meadow Village  -17473.852842   \n",
       "1234                   Abnormal Sale   -9608.452839   \n",
       "168   Home just constructed and sold    27423.64341   \n",
       "927               Northridge Heights   23176.411653   \n",
       "832         2-Story PUD-1946 & Newer   -13398.22308   \n",
       "1238                            1101   11612.437376   \n",
       "427                              396   16317.597159   \n",
       "\n",
       "                                       feature_2             value_2  \\\n",
       "259                   Original construction date                2001   \n",
       "268               Overall condition of the house                   8   \n",
       "289     Overall material and finish of the house                   5   \n",
       "650               Ground living area square feet                 630   \n",
       "1234    Overall material and finish of the house                   5   \n",
       "168   Physical locations within Ames city limits  Northridge Heights   \n",
       "927               Ground living area square feet                2374   \n",
       "832                      First Floor square feet                 520   \n",
       "1238                  Original construction date                2004   \n",
       "427                  Type 1 finished square feet                1518   \n",
       "\n",
       "     contribution_2                                 feature_3        value_3  \\\n",
       "259     6387.987536    Three season porch area in square feet            245   \n",
       "268    12250.944277            Ground living area square feet           2192   \n",
       "289     -8356.89129             Size of garage in square feet            280   \n",
       "650   -14787.896977             Size of garage in square feet              0   \n",
       "1234   -8885.747137            Ground living area square feet           1188   \n",
       "168    26264.829848  Overall material and finish of the house              8   \n",
       "927    19431.401488                  Second floor square feet           1140   \n",
       "832   -11003.949501            Ground living area square feet           1200   \n",
       "1238    6908.342505                   First Floor square feet            847   \n",
       "427    11626.876519   Refers to walkout or garden level walls  Good Exposure   \n",
       "\n",
       "     contribution_3  ... contribution_5  \\\n",
       "259     6019.076585  ...    4495.137907   \n",
       "268    10575.561484  ...   -9545.699803   \n",
       "289     -7095.89495  ...   -4334.867376   \n",
       "650   -14247.389586  ...  -11790.654848   \n",
       "1234   -8100.302992  ...   -5756.506194   \n",
       "168    15713.549155  ...   15303.678926   \n",
       "927    15255.715262  ...   12034.304356   \n",
       "832    -8430.064484  ...    6333.763524   \n",
       "1238   -6712.185727  ...   -4905.248373   \n",
       "427    10301.282465  ...   -9292.625571   \n",
       "\n",
       "                                     feature_6       value_6 contribution_6  \\\n",
       "259                     Half baths above grade             1    4058.735982   \n",
       "268           Low quality finished square feet           420    9028.738252   \n",
       "289                 Full bathrooms above grade             1   -3159.065666   \n",
       "650                 Exterior covering on house  Cement Board  -10484.672846   \n",
       "1234               Type 1 finished square feet          1000    4126.536304   \n",
       "168                            Kitchen quality     Excellent   13895.520143   \n",
       "927                 Original construction date          2003    8068.794323   \n",
       "832         Total square feet of basement area           600   -4856.809903   \n",
       "1238  Overall material and finish of the house             7    4247.437853   \n",
       "427                    First Floor square feet          1644    8228.216186   \n",
       "\n",
       "                                       feature_7  \\\n",
       "259                   Exterior covering on house   \n",
       "268                   Original construction date   \n",
       "289   Physical locations within Ames city limits   \n",
       "650                            Style of dwelling   \n",
       "1234               Heating quality and condition   \n",
       "168                            Condition of sale   \n",
       "927                Size of garage in square feet   \n",
       "832                General zoning classification   \n",
       "1238                      Half baths above grade   \n",
       "427                     Second floor square feet   \n",
       "\n",
       "                           value_7 contribution_7  \\\n",
       "259                   Vinyl Siding    3440.485441   \n",
       "268                           1939   -7836.722046   \n",
       "289                         Sawyer   -3075.744804   \n",
       "650                    Split Foyer   -7235.055635   \n",
       "1234                          Fair   -4000.527692   \n",
       "168          Home wasn't completed  -13460.690594   \n",
       "927                            656    7847.434879   \n",
       "832   Floating Village Residential    4332.979451   \n",
       "1238                             1     3896.85019   \n",
       "427                              0   -7922.166877   \n",
       "\n",
       "                             feature_8               value_8 contribution_8  \n",
       "259     Ground living area square feet                  1792    3248.712227  \n",
       "268   Rating of basement finished area           Low Quality   -5422.044481  \n",
       "289               Number of fireplaces                     0   -3056.889288  \n",
       "650            First Floor square feet                   630   -6718.703928  \n",
       "1234        Full bathrooms above grade                     1   -3461.324322  \n",
       "168        Type 1 finished square feet                  1288   10685.074459  \n",
       "927        Type 1 finished square feet                     0   -5794.106906  \n",
       "832        Type 1 finished square feet                     0   -4234.924633  \n",
       "1238        Exterior covering on house          Vinyl Siding    3281.530173  \n",
       "427                     Building Class  Split or Multi-Level   -7435.296436  \n",
       "\n",
       "[10 rows x 25 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xpl.to_pandas(max_contrib=8).head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f2d8e145",
   "metadata": {},
   "source": [
    "## 4. Optional: launch webapp\n",
    "\n",
    "Like in `shapash/webapp/webapp_launch_DVF.py`, you can launch the app from the compiled explainer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "c8c73221",
   "metadata": {},
   "outputs": [],
   "source": [
    "# xpl.init_app()\n",
    "# app = xpl.smartapp.app\n",
    "# app.run_server(debug=False, host='0.0.0.0', port=8080)"
   ]
  }
 ],
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  "kernelspec": {
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    "name": "ipython",
    "version": 3
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