{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![MLU Logo](../../data/MLU_Logo.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# <a name=\"0\">Responsible AI - SHAP Values</a>\n",
    "\n",
    "This notebook shows how to build a [RandomForestClassifier](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html) model to predict whether an individuals' income is $\\leq$ 50k or not using US census data. The goal is to explore why certain individuals receive a particular prediction and also get an overall understanding of feature importance using SHAP.\n",
    "\n",
    "__Dataset:__ \n",
    "The dataset we will use for this exercise is coming from [folktables](https://github.com/zykls/folktables). Folktables provide code to download data from the American Community Survey (ACS) Public Use Microdata Sample (PUMS) files managed by the US Census Bureau. The data itself is governed by the terms of use provided by the Census Bureau. For more information, see the [Terms of Service](https://www.census.gov/data/developers/about/terms-of-service.html).\n",
    "\n",
    "__ML Problem:__ \n",
    "Ultimately, the goal will be to predict whether an individual's income is above \\\\$50,000. We will  filter the ACS PUMS data sample to only include individuals above the age of 16, who reported usual working hours of at least 1 hour per week in the past year, and an income of at least \\\\$100. The threshold of \\\\$50,000 was chosen so that this dataset can serve as a comparable substitute to the [UCI Adult dataset](https://archive.ics.uci.edu/ml/datasets/adult). The income threshold can be changed easily to define new prediction tasks.\n",
    "\n",
    "\n",
    "1. <a href=\"#1\">Read the dataset</a>\n",
    "2. <a href=\"#2\">Data Processing</a>\n",
    "    * <a href=\"#21\">Exploratory Data Analysis</a>\n",
    "    * <a href=\"#22\">Select features to build the model</a>\n",
    "    * <a href=\"#23\">Train - Validation - Test Datasets</a>\n",
    "    * <a href=\"#24\">Data processing with Pipeline and ColumnTransformer</a>\n",
    "3. <a href=\"#3\">Train (and Tune) a Classifier</a>\n",
    "4. <a href=\"#4\">Test the Classifier</a>\n",
    "5. <a href=\"#5\">SHAP Values</a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook assumes an installation of the SageMaker kernel `conda_pytorch_p39`. In addition, libraries from a requirements.txt need to be installed:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install --no-deps -U -q -r ../../requirements.txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Reshaping/basic libraries\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "# Plotting libraries\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "sns.set_style(\"darkgrid\", {\"axes.facecolor\": \".9\"})\n",
    "\n",
    "# ML libraries\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import confusion_matrix, accuracy_score\n",
    "from sklearn.impute import SimpleImputer\n",
    "from sklearn.preprocessing import OneHotEncoder, MinMaxScaler\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.compose import ColumnTransformer\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "\n",
    "# Operational libraries\n",
    "import sys\n",
    "import json\n",
    "\n",
    "sys.path.append(\"..\")\n",
    "\n",
    "# Fairness libraries\n",
    "from folktables.acs import *\n",
    "from folktables.folktables import *\n",
    "from folktables.load_acs import *\n",
    "import shap\n",
    "\n",
    "# Jupyter(lab) libraries\n",
    "import warnings\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. <a name=\"1\">Read the dataset</a>\n",
    "(<a href=\"#0\">Go to top</a>)\n",
    "\n",
    "To read in the dataset, we will be using [folktables](https://github.com/zykls/folktables) which provides access to the US Census dataset. Folktables contains predefined prediction tasks but also allows the user to specify the problem type.\n",
    "\n",
    "The US Census dataset distinguishes between household and individuals. To obtain data on individuals, we use `ACSDataSource` with `survey=person`. The feature names for the US Census data follow the same distinction and use `P` for `person` and `H` for `household`, e.g.: `AGEP` refers to age of an individual."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "income_features = [\n",
    "    \"AGEP\",  # age individual\n",
    "    \"COW\",  # class of worker\n",
    "    \"SCHL\",  # educational attainment\n",
    "    \"MAR\",  # marital status\n",
    "    \"OCCP\",  # occupation\n",
    "    \"POBP\",  # place of birth\n",
    "    \"RELP\",  # relationship\n",
    "    \"WKHP\",  # hours worked per week past 12 months\n",
    "    \"SEX\",  # sex\n",
    "    \"RAC1P\",  # recorded detailed race code\n",
    "    \"PWGTP\",  # persons weight\n",
    "    \"GCL\",  # grand parents living with grandchildren\n",
    "]\n",
    "\n",
    "# Define the prediction problem and features\n",
    "ACSIncome = folktables.BasicProblem(\n",
    "    features=income_features,\n",
    "    target=\"PINCP\",  # total persons income\n",
    "    target_transform=lambda x: x > 50000,\n",
    "    group=\"RAC1P\",\n",
    "    preprocess=adult_filter,  # applies the following conditions; ((AAGE>16) && (AGI>100) && (AFNLWGT>1)&& (HRSWK>0))\n",
    "    postprocess=lambda x: x,  # applies post processing, e.g. fill all NAs\n",
    ")\n",
    "\n",
    "# Initialize year, duration (\"1-Year\" or \"5-Year\") and granularity (household or person)\n",
    "data_source = ACSDataSource(survey_year=\"2018\", horizon=\"1-Year\", survey=\"person\")\n",
    "# Specify region (here: California) and load data\n",
    "ca_data = data_source.get_data(states=[\"CA\"], download=True)\n",
    "# Apply transformation as per problem statement above\n",
    "ca_features, ca_labels, ca_group = ACSIncome.df_to_numpy(ca_data)\n",
    "\n",
    "# Convert numpy array to dataframe\n",
    "df = pd.DataFrame(\n",
    "    np.concatenate((ca_features, ca_labels.reshape(-1, 1)), axis=1),\n",
    "    columns=income_features + [\">50k\"],\n",
    ")\n",
    "\n",
    "# For further modelling we want to use only 2 groups (see DATAPREP notebook for details)\n",
    "df = df[df[\"RAC1P\"].isin([6, 8])].copy(deep=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. <a name=\"2\">Data Processing</a>\n",
    "(<a href=\"#0\">Go to top</a>)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.1 <a name=\"21\">Exploratory Data Analysis</a>\n",
    "(<a href=\"#2\">Go to Data Processing</a>)\n",
    "\n",
    "We look at number of rows, columns, and some simple statistics of the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "tags": []
   },
   "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>AGEP</th>\n",
       "      <th>COW</th>\n",
       "      <th>SCHL</th>\n",
       "      <th>MAR</th>\n",
       "      <th>OCCP</th>\n",
       "      <th>POBP</th>\n",
       "      <th>RELP</th>\n",
       "      <th>WKHP</th>\n",
       "      <th>SEX</th>\n",
       "      <th>RAC1P</th>\n",
       "      <th>PWGTP</th>\n",
       "      <th>GCL</th>\n",
       "      <th>&gt;50k</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>30.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9610.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>23.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2545.0</td>\n",
       "      <td>207.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>18.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>9610.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>40.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4140.0</td>\n",
       "      <td>303.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>18.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>725.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    AGEP  COW  SCHL  MAR    OCCP   POBP  RELP  WKHP  SEX  RAC1P  PWGTP  GCL  \\\n",
       "0   30.0  6.0  14.0  1.0  9610.0    6.0  16.0  40.0  1.0    8.0   32.0  2.0   \n",
       "27  23.0  2.0  21.0  5.0  2545.0  207.0  17.0  20.0  2.0    6.0   35.0  NaN   \n",
       "33  18.0  1.0  16.0  5.0  9610.0    6.0  17.0   8.0  2.0    6.0   33.0  NaN   \n",
       "46  40.0  1.0  15.0  3.0  4140.0  303.0  16.0  22.0  1.0    8.0   38.0  2.0   \n",
       "49  18.0  1.0  18.0  5.0   725.0    6.0  17.0  12.0  2.0    6.0   60.0  NaN   \n",
       "\n",
       "    >50k  \n",
       "0    0.0  \n",
       "27   0.0  \n",
       "33   0.0  \n",
       "46   0.0  \n",
       "49   0.0  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Print the first five rows\n",
    "# NaN means missing data\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The shape of the dataset is: (55502, 13)\n"
     ]
    }
   ],
   "source": [
    "# Check how many rows and columns we have in the data frame\n",
    "print(\"The shape of the dataset is:\", df.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 55502 entries, 0 to 195664\n",
      "Data columns (total 13 columns):\n",
      " #   Column  Non-Null Count  Dtype  \n",
      "---  ------  --------------  -----  \n",
      " 0   AGEP    55502 non-null  float64\n",
      " 1   COW     55502 non-null  float64\n",
      " 2   SCHL    55502 non-null  float64\n",
      " 3   MAR     55502 non-null  float64\n",
      " 4   OCCP    55502 non-null  float64\n",
      " 5   POBP    55502 non-null  float64\n",
      " 6   RELP    55502 non-null  float64\n",
      " 7   WKHP    55502 non-null  float64\n",
      " 8   SEX     55502 non-null  float64\n",
      " 9   RAC1P   55502 non-null  float64\n",
      " 10  PWGTP   55502 non-null  float64\n",
      " 11  GCL     41987 non-null  float64\n",
      " 12  >50k    55502 non-null  float64\n",
      "dtypes: float64(13)\n",
      "memory usage: 5.9 MB\n"
     ]
    }
   ],
   "source": [
    "# Let's see the data types and non-null values for each column\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can clearly see that all columns are numerical (`dtype = float64`). However, when checking the column headers (and information at top of the notebook), we should notice that we are actually dealing with multimodal data. We expect to see a mix of categorical, numerical and potentially even text information.\n",
    "\n",
    "Let's cast the features accordingly. We start by creating list for each feature type."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "categorical_features = [\n",
    "    \"COW\",\n",
    "    \"SCHL\",\n",
    "    \"MAR\",\n",
    "    \"OCCP\",\n",
    "    \"POBP\",\n",
    "    \"RELP\",\n",
    "    \"SEX\",\n",
    "    \"RAC1P\",\n",
    "    \"GCL\",\n",
    "]\n",
    "\n",
    "numerical_features = [\"AGEP\", \"WKHP\", \"PWGTP\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# We cast categorical features to `category`\n",
    "df[categorical_features] = df[categorical_features].astype(\"object\")\n",
    "\n",
    "# We cast numerical features to `int`\n",
    "df[numerical_features] = df[numerical_features].astype(\"int\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's check with `.info()` again to make sure the changes took effect."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 55502 entries, 0 to 195664\n",
      "Data columns (total 13 columns):\n",
      " #   Column  Non-Null Count  Dtype  \n",
      "---  ------  --------------  -----  \n",
      " 0   AGEP    55502 non-null  int64  \n",
      " 1   COW     55502 non-null  object \n",
      " 2   SCHL    55502 non-null  object \n",
      " 3   MAR     55502 non-null  object \n",
      " 4   OCCP    55502 non-null  object \n",
      " 5   POBP    55502 non-null  object \n",
      " 6   RELP    55502 non-null  object \n",
      " 7   WKHP    55502 non-null  int64  \n",
      " 8   SEX     55502 non-null  object \n",
      " 9   RAC1P   55502 non-null  object \n",
      " 10  PWGTP   55502 non-null  int64  \n",
      " 11  GCL     41987 non-null  object \n",
      " 12  >50k    55502 non-null  float64\n",
      "dtypes: float64(1), int64(3), object(9)\n",
      "memory usage: 5.9+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looks good, so we can now separate model features from model target to explore them separately."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model features:  ['COW', 'SCHL', 'MAR', 'OCCP', 'POBP', 'RELP', 'SEX', 'RAC1P', 'GCL', 'AGEP', 'WKHP', 'PWGTP']\n",
      "Model target:  >50k\n"
     ]
    }
   ],
   "source": [
    "model_target = \">50k\"\n",
    "model_features = categorical_features + numerical_features\n",
    "\n",
    "print(\"Model features: \", model_features)\n",
    "print(\"Model target: \", model_target)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Double check that that target is not accidentally part of the features\n",
    "model_target in model_features"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "All good here. We made sure that the target is not in the feature list. If we find the above statement showing `True` we need to remove the target by calling `model_features.remove(model_target)`.\n",
    "\n",
    "Let's have a look at missing values next.\n",
    "\n",
    "\n",
    "#### Missing values\n",
    "The quickest way to check for missing values is to use `.isna().sum()`. This will provide a count of how many missing values we have. In fact, we can also see the count of missing values with `.info()` as it provided a count of non-null values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AGEP         0\n",
       "COW          0\n",
       "SCHL         0\n",
       "MAR          0\n",
       "OCCP         0\n",
       "POBP         0\n",
       "RELP         0\n",
       "WKHP         0\n",
       "SEX          0\n",
       "RAC1P        0\n",
       "PWGTP        0\n",
       "GCL      13515\n",
       ">50k         0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Show missing values\n",
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Before starting with the plots, let's have a look at how many unique instances we have per column. This helps us avoid plotting charts with hundreds of unique values. Let's filter for columns with fewer than 10 unique instances."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "COW      8.0\n",
      "MAR      5.0\n",
      "SEX      2.0\n",
      "RAC1P    2.0\n",
      "GCL      2.0\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "shortlist_fts = (\n",
    "    df[model_features]\n",
    "    .apply(lambda col: col.nunique())\n",
    "    .where(df[model_features].apply(lambda col: col.nunique()) < 10)\n",
    "    .dropna()\n",
    ")\n",
    "\n",
    "print(shortlist_fts)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Target distribution\n",
    "\n",
    "Let's check our target distribution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[model_target].value_counts().plot.bar(color=\"black\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We notice that we are dealing with an imbalanced dataset. This means there are more examples for one type of results (here: 0; meaning individuals earning $\\leq$ 50k). This is relevant for model choice and potential up-sampling or down-sampling to balance out the classes."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Feature distribution(s)\n",
    "\n",
    "Let's now plot bar charts for the shortlist features of our dataset (as per above: shortlist - feature columns with less than 10 unique instance classes)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x1000 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(nrows=2, ncols=3, figsize=(15, 10))\n",
    "fig.suptitle(\"Feature Bar Plots\")\n",
    "\n",
    "fts = range(len(shortlist_fts.index.tolist()))\n",
    "for i, ax in zip(fts, axs.ravel()):\n",
    "    df[shortlist_fts.index.tolist()[i]].value_counts().plot.bar(color=\"black\", ax=ax)\n",
    "    ax.set_title(shortlist_fts.index.tolist()[i])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.2 <a name=\"22\">Select features to build the model</a>\n",
    "(<a href=\"#2\">Go to Data Processing</a>)\n",
    "\n",
    "During the extended EDA in the DATAPREP notebook, we learned that `GCL` is a feature that is equally present for both outcome types and also contains a lot of missing values. Therefore, we can drop it from the list of features we want to use for model build. We also drop `OCCP` and `POBP` as those features have too many unique categories."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "to_remove = [\"GCL\", \"OCCP\", \"POBP\"]\n",
    "\n",
    "# Drop to_remove features from the respective list(s) - if applicable\n",
    "for ft in to_remove:\n",
    "    if ft in model_features:\n",
    "        model_features.remove(ft)\n",
    "    if ft in categorical_features:\n",
    "        categorical_features.remove(ft)\n",
    "    if ft in numerical_features:\n",
    "        numerical_features.remove(ft)\n",
    "\n",
    "# Let's also clean up the dataframe and only keep the features and columns we need\n",
    "df = df[model_features + [model_target]].copy(deep=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.3 <a name=\"23\">Train - Validation - Test Datasets</a>\n",
    "(<a href=\"#2\">Go to Data Processing</a>)\n",
    "\n",
    "To get a training, test and validation set, we will use sklearn's [train_test_split()](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html) function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train - Test - Validation datasets shapes:  (42458, 10) (5551, 10) (7493, 10)\n"
     ]
    }
   ],
   "source": [
    "train_data, test_data = train_test_split(\n",
    "    df, test_size=0.1, shuffle=True, random_state=23\n",
    ")\n",
    "train_data, val_data = train_test_split(\n",
    "    train_data, test_size=0.15, shuffle=True, random_state=23\n",
    ")\n",
    "\n",
    "# Print the shapes of the Train - Test Datasets\n",
    "print(\n",
    "    \"Train - Test - Validation datasets shapes: \",\n",
    "    train_data.shape,\n",
    "    test_data.shape,\n",
    "    val_data.shape,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.4 <a name=\"24\">Data processing with Pipeline and ColumnTransformer</a>\n",
    "(<a href=\"#2\">Go to Data Processing</a>)\n",
    "\n",
    "Let's build a full model pipeline. We need pre-processing split per data type, and then combine everything back into a composite pipeline along with a model. To achieve this, we will use sklearns `Pipeline` and `ColumnTransformer`.\n",
    "\n",
    "__Step 1 (set up pre-processing per data type):__\n",
    "> For the numerical features pipeline, the __numerical_processor__ below, we impute missing values with the mean using sklearn's `SimpleImputer`, followed by a `MinMaxScaler` (don't have to scale features when using Decision Trees, but it's a good idea to see how to use more data transforms). If different processing is desired for different numerical features, different pipelines should be built - just like shown below for the two text features.\n",
    "\n",
    " > In the categorical features pipeline, the __categorical_processor__ below, we impute with a placeholder value and encode with sklearn's `OneHotEncoder`. If computing memory is an issue, it is a good idea to check categoricals' unique values, to get an estimate of many dummy features will be created by one-hot encoding. Note the __handle_unknown__ parameter that tells the encoder to ignore (rather than throw an error for) any unique value that might show in the validation/and or test set that was not present in the initial training set.\n",
    " \n",
    "__Step 2 (combining pre-processing methods into a transformer):__ \n",
    " > The selective preparations of the dataset features are then put together into a collective `ColumnTransformer`, to be finally used in a Pipeline along with an estimator. This ensures that the transforms are performed automatically on the raw data when fitting the model and when making predictions, such as when evaluating the model on a validation dataset via cross-validation or making predictions on a test dataset in the future.\n",
    "   \n",
    "__Step 3 (combining transformer with a model):__ \n",
    "> Combine `ColumnTransformer` from Step 2 with a selected algorithm in a new pipeline. For example, the algorithm could be a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) for classification problems."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"â–¸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"â–¾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>Pipeline(steps=[(&#x27;data_processing&#x27;,\n",
       "                 ColumnTransformer(transformers=[(&#x27;numerical_processing&#x27;,\n",
       "                                                  Pipeline(steps=[(&#x27;num_imputer&#x27;,\n",
       "                                                                   SimpleImputer()),\n",
       "                                                                  (&#x27;num_scaler&#x27;,\n",
       "                                                                   MinMaxScaler())]),\n",
       "                                                  [&#x27;AGEP&#x27;, &#x27;WKHP&#x27;, &#x27;PWGTP&#x27;]),\n",
       "                                                 (&#x27;categorical_processing&#x27;,\n",
       "                                                  Pipeline(steps=[(&#x27;cat_imputer&#x27;,\n",
       "                                                                   SimpleImputer(fill_value=&#x27;missing&#x27;,\n",
       "                                                                                 strategy=&#x27;constant&#x27;)),\n",
       "                                                                  (&#x27;cat_encoder&#x27;,\n",
       "                                                                   OneHotEncoder(handle_unknown=&#x27;ignore&#x27;))]),\n",
       "                                                  [&#x27;COW&#x27;, &#x27;SCHL&#x27;, &#x27;MAR&#x27;, &#x27;RELP&#x27;,\n",
       "                                                   &#x27;SEX&#x27;, &#x27;RAC1P&#x27;])])),\n",
       "                (&#x27;rf&#x27;,\n",
       "                 RandomForestClassifier(max_depth=10, max_features=40,\n",
       "                                        random_state=1))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" ><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">Pipeline</label><div class=\"sk-toggleable__content\"><pre>Pipeline(steps=[(&#x27;data_processing&#x27;,\n",
       "                 ColumnTransformer(transformers=[(&#x27;numerical_processing&#x27;,\n",
       "                                                  Pipeline(steps=[(&#x27;num_imputer&#x27;,\n",
       "                                                                   SimpleImputer()),\n",
       "                                                                  (&#x27;num_scaler&#x27;,\n",
       "                                                                   MinMaxScaler())]),\n",
       "                                                  [&#x27;AGEP&#x27;, &#x27;WKHP&#x27;, &#x27;PWGTP&#x27;]),\n",
       "                                                 (&#x27;categorical_processing&#x27;,\n",
       "                                                  Pipeline(steps=[(&#x27;cat_imputer&#x27;,\n",
       "                                                                   SimpleImputer(fill_value=&#x27;missing&#x27;,\n",
       "                                                                                 strategy=&#x27;constant&#x27;)),\n",
       "                                                                  (&#x27;cat_encoder&#x27;,\n",
       "                                                                   OneHotEncoder(handle_unknown=&#x27;ignore&#x27;))]),\n",
       "                                                  [&#x27;COW&#x27;, &#x27;SCHL&#x27;, &#x27;MAR&#x27;, &#x27;RELP&#x27;,\n",
       "                                                   &#x27;SEX&#x27;, &#x27;RAC1P&#x27;])])),\n",
       "                (&#x27;rf&#x27;,\n",
       "                 RandomForestClassifier(max_depth=10, max_features=40,\n",
       "                                        random_state=1))])</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" ><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">data_processing: ColumnTransformer</label><div class=\"sk-toggleable__content\"><pre>ColumnTransformer(transformers=[(&#x27;numerical_processing&#x27;,\n",
       "                                 Pipeline(steps=[(&#x27;num_imputer&#x27;,\n",
       "                                                  SimpleImputer()),\n",
       "                                                 (&#x27;num_scaler&#x27;,\n",
       "                                                  MinMaxScaler())]),\n",
       "                                 [&#x27;AGEP&#x27;, &#x27;WKHP&#x27;, &#x27;PWGTP&#x27;]),\n",
       "                                (&#x27;categorical_processing&#x27;,\n",
       "                                 Pipeline(steps=[(&#x27;cat_imputer&#x27;,\n",
       "                                                  SimpleImputer(fill_value=&#x27;missing&#x27;,\n",
       "                                                                strategy=&#x27;constant&#x27;)),\n",
       "                                                 (&#x27;cat_encoder&#x27;,\n",
       "                                                  OneHotEncoder(handle_unknown=&#x27;ignore&#x27;))]),\n",
       "                                 [&#x27;COW&#x27;, &#x27;SCHL&#x27;, &#x27;MAR&#x27;, &#x27;RELP&#x27;, &#x27;SEX&#x27;,\n",
       "                                  &#x27;RAC1P&#x27;])])</pre></div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" ><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">numerical_processing</label><div class=\"sk-toggleable__content\"><pre>[&#x27;AGEP&#x27;, &#x27;WKHP&#x27;, &#x27;PWGTP&#x27;]</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-4\" type=\"checkbox\" ><label for=\"sk-estimator-id-4\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">SimpleImputer</label><div class=\"sk-toggleable__content\"><pre>SimpleImputer()</pre></div></div></div><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-5\" type=\"checkbox\" ><label for=\"sk-estimator-id-5\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">MinMaxScaler</label><div class=\"sk-toggleable__content\"><pre>MinMaxScaler()</pre></div></div></div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-6\" type=\"checkbox\" ><label for=\"sk-estimator-id-6\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">categorical_processing</label><div class=\"sk-toggleable__content\"><pre>[&#x27;COW&#x27;, &#x27;SCHL&#x27;, &#x27;MAR&#x27;, &#x27;RELP&#x27;, &#x27;SEX&#x27;, &#x27;RAC1P&#x27;]</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-7\" type=\"checkbox\" ><label for=\"sk-estimator-id-7\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">SimpleImputer</label><div class=\"sk-toggleable__content\"><pre>SimpleImputer(fill_value=&#x27;missing&#x27;, strategy=&#x27;constant&#x27;)</pre></div></div></div><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-8\" type=\"checkbox\" ><label for=\"sk-estimator-id-8\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">OneHotEncoder</label><div class=\"sk-toggleable__content\"><pre>OneHotEncoder(handle_unknown=&#x27;ignore&#x27;)</pre></div></div></div></div></div></div></div></div></div></div><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-9\" type=\"checkbox\" ><label for=\"sk-estimator-id-9\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier(max_depth=10, max_features=40, random_state=1)</pre></div></div></div></div></div></div></div>"
      ],
      "text/plain": [
       "Pipeline(steps=[('data_processing',\n",
       "                 ColumnTransformer(transformers=[('numerical_processing',\n",
       "                                                  Pipeline(steps=[('num_imputer',\n",
       "                                                                   SimpleImputer()),\n",
       "                                                                  ('num_scaler',\n",
       "                                                                   MinMaxScaler())]),\n",
       "                                                  ['AGEP', 'WKHP', 'PWGTP']),\n",
       "                                                 ('categorical_processing',\n",
       "                                                  Pipeline(steps=[('cat_imputer',\n",
       "                                                                   SimpleImputer(fill_value='missing',\n",
       "                                                                                 strategy='constant')),\n",
       "                                                                  ('cat_encoder',\n",
       "                                                                   OneHotEncoder(handle_unknown='ignore'))]),\n",
       "                                                  ['COW', 'SCHL', 'MAR', 'RELP',\n",
       "                                                   'SEX', 'RAC1P'])])),\n",
       "                ('rf',\n",
       "                 RandomForestClassifier(max_depth=10, max_features=40,\n",
       "                                        random_state=1))])"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### STEP 1 ###\n",
    "##############\n",
    "\n",
    "# Preprocess the numerical features\n",
    "numerical_processor = Pipeline(\n",
    "    [(\"num_imputer\", SimpleImputer(strategy=\"mean\")), (\"num_scaler\", MinMaxScaler())]\n",
    ")\n",
    "# Preprocess the categorical features\n",
    "categorical_processor = Pipeline(\n",
    "    [\n",
    "        (\"cat_imputer\", SimpleImputer(strategy=\"constant\", fill_value=\"missing\")),\n",
    "        (\"cat_encoder\", OneHotEncoder(handle_unknown=\"ignore\")),\n",
    "    ]\n",
    ")\n",
    "\n",
    "### STEP 2 ###\n",
    "##############\n",
    "\n",
    "# Combine all data preprocessors from above\n",
    "data_processor = ColumnTransformer(\n",
    "    [\n",
    "        (\"numerical_processing\", numerical_processor, numerical_features),\n",
    "        (\"categorical_processing\", categorical_processor, categorical_features),\n",
    "    ]\n",
    ")\n",
    "\n",
    "### STEP 3 ###\n",
    "##############\n",
    "\n",
    "# Pipeline desired all data transformers, along with an estimator at the end\n",
    "# Later you can set/reach the parameters using the names issued - for hyperparameter tuning, for example\n",
    "pipeline = Pipeline(\n",
    "    [\n",
    "        (\"data_processing\", data_processor),\n",
    "        (\"rf\", RandomForestClassifier(max_depth=10, max_features=40, random_state=1)),\n",
    "    ]\n",
    ")\n",
    "\n",
    "# Visualize the pipeline\n",
    "# This will come in handy especially when building more complex pipelines, stringing together multiple preprocessing steps\n",
    "from sklearn import set_config\n",
    "\n",
    "set_config(display=\"diagram\")\n",
    "pipeline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. <a name=\"3\">Train a Classifier</a>\n",
    "(<a href=\"#0\">Go to top</a>)\n",
    "\n",
    "We use the pipeline with the desired data transformers, along with a RandomForestClassifier for training.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Model Training\n",
    "\n",
    "We train the classifier with __.fit()__ on our training dataset. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
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       "<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"â–¸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"â–¾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>Pipeline(steps=[(&#x27;data_processing&#x27;,\n",
       "                 ColumnTransformer(transformers=[(&#x27;numerical_processing&#x27;,\n",
       "                                                  Pipeline(steps=[(&#x27;num_imputer&#x27;,\n",
       "                                                                   SimpleImputer()),\n",
       "                                                                  (&#x27;num_scaler&#x27;,\n",
       "                                                                   MinMaxScaler())]),\n",
       "                                                  [&#x27;AGEP&#x27;, &#x27;WKHP&#x27;, &#x27;PWGTP&#x27;]),\n",
       "                                                 (&#x27;categorical_processing&#x27;,\n",
       "                                                  Pipeline(steps=[(&#x27;cat_imputer&#x27;,\n",
       "                                                                   SimpleImputer(fill_value=&#x27;missing&#x27;,\n",
       "                                                                                 strategy=&#x27;constant&#x27;)),\n",
       "                                                                  (&#x27;cat_encoder&#x27;,\n",
       "                                                                   OneHotEncoder(handle_unknown=&#x27;ignore&#x27;))]),\n",
       "                                                  [&#x27;COW&#x27;, &#x27;SCHL&#x27;, &#x27;MAR&#x27;, &#x27;RELP&#x27;,\n",
       "                                                   &#x27;SEX&#x27;, &#x27;RAC1P&#x27;])])),\n",
       "                (&#x27;rf&#x27;,\n",
       "                 RandomForestClassifier(max_depth=10, max_features=40,\n",
       "                                        random_state=1))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-10\" type=\"checkbox\" ><label for=\"sk-estimator-id-10\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">Pipeline</label><div class=\"sk-toggleable__content\"><pre>Pipeline(steps=[(&#x27;data_processing&#x27;,\n",
       "                 ColumnTransformer(transformers=[(&#x27;numerical_processing&#x27;,\n",
       "                                                  Pipeline(steps=[(&#x27;num_imputer&#x27;,\n",
       "                                                                   SimpleImputer()),\n",
       "                                                                  (&#x27;num_scaler&#x27;,\n",
       "                                                                   MinMaxScaler())]),\n",
       "                                                  [&#x27;AGEP&#x27;, &#x27;WKHP&#x27;, &#x27;PWGTP&#x27;]),\n",
       "                                                 (&#x27;categorical_processing&#x27;,\n",
       "                                                  Pipeline(steps=[(&#x27;cat_imputer&#x27;,\n",
       "                                                                   SimpleImputer(fill_value=&#x27;missing&#x27;,\n",
       "                                                                                 strategy=&#x27;constant&#x27;)),\n",
       "                                                                  (&#x27;cat_encoder&#x27;,\n",
       "                                                                   OneHotEncoder(handle_unknown=&#x27;ignore&#x27;))]),\n",
       "                                                  [&#x27;COW&#x27;, &#x27;SCHL&#x27;, &#x27;MAR&#x27;, &#x27;RELP&#x27;,\n",
       "                                                   &#x27;SEX&#x27;, &#x27;RAC1P&#x27;])])),\n",
       "                (&#x27;rf&#x27;,\n",
       "                 RandomForestClassifier(max_depth=10, max_features=40,\n",
       "                                        random_state=1))])</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-11\" type=\"checkbox\" ><label for=\"sk-estimator-id-11\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">data_processing: ColumnTransformer</label><div class=\"sk-toggleable__content\"><pre>ColumnTransformer(transformers=[(&#x27;numerical_processing&#x27;,\n",
       "                                 Pipeline(steps=[(&#x27;num_imputer&#x27;,\n",
       "                                                  SimpleImputer()),\n",
       "                                                 (&#x27;num_scaler&#x27;,\n",
       "                                                  MinMaxScaler())]),\n",
       "                                 [&#x27;AGEP&#x27;, &#x27;WKHP&#x27;, &#x27;PWGTP&#x27;]),\n",
       "                                (&#x27;categorical_processing&#x27;,\n",
       "                                 Pipeline(steps=[(&#x27;cat_imputer&#x27;,\n",
       "                                                  SimpleImputer(fill_value=&#x27;missing&#x27;,\n",
       "                                                                strategy=&#x27;constant&#x27;)),\n",
       "                                                 (&#x27;cat_encoder&#x27;,\n",
       "                                                  OneHotEncoder(handle_unknown=&#x27;ignore&#x27;))]),\n",
       "                                 [&#x27;COW&#x27;, &#x27;SCHL&#x27;, &#x27;MAR&#x27;, &#x27;RELP&#x27;, &#x27;SEX&#x27;,\n",
       "                                  &#x27;RAC1P&#x27;])])</pre></div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-12\" type=\"checkbox\" ><label for=\"sk-estimator-id-12\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">numerical_processing</label><div class=\"sk-toggleable__content\"><pre>[&#x27;AGEP&#x27;, &#x27;WKHP&#x27;, &#x27;PWGTP&#x27;]</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-13\" type=\"checkbox\" ><label for=\"sk-estimator-id-13\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">SimpleImputer</label><div class=\"sk-toggleable__content\"><pre>SimpleImputer()</pre></div></div></div><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-14\" type=\"checkbox\" ><label for=\"sk-estimator-id-14\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">MinMaxScaler</label><div class=\"sk-toggleable__content\"><pre>MinMaxScaler()</pre></div></div></div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-15\" type=\"checkbox\" ><label for=\"sk-estimator-id-15\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">categorical_processing</label><div class=\"sk-toggleable__content\"><pre>[&#x27;COW&#x27;, &#x27;SCHL&#x27;, &#x27;MAR&#x27;, &#x27;RELP&#x27;, &#x27;SEX&#x27;, &#x27;RAC1P&#x27;]</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-16\" type=\"checkbox\" ><label for=\"sk-estimator-id-16\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">SimpleImputer</label><div class=\"sk-toggleable__content\"><pre>SimpleImputer(fill_value=&#x27;missing&#x27;, strategy=&#x27;constant&#x27;)</pre></div></div></div><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-17\" type=\"checkbox\" ><label for=\"sk-estimator-id-17\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">OneHotEncoder</label><div class=\"sk-toggleable__content\"><pre>OneHotEncoder(handle_unknown=&#x27;ignore&#x27;)</pre></div></div></div></div></div></div></div></div></div></div><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-18\" type=\"checkbox\" ><label for=\"sk-estimator-id-18\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier(max_depth=10, max_features=40, random_state=1)</pre></div></div></div></div></div></div></div>"
      ],
      "text/plain": [
       "Pipeline(steps=[('data_processing',\n",
       "                 ColumnTransformer(transformers=[('numerical_processing',\n",
       "                                                  Pipeline(steps=[('num_imputer',\n",
       "                                                                   SimpleImputer()),\n",
       "                                                                  ('num_scaler',\n",
       "                                                                   MinMaxScaler())]),\n",
       "                                                  ['AGEP', 'WKHP', 'PWGTP']),\n",
       "                                                 ('categorical_processing',\n",
       "                                                  Pipeline(steps=[('cat_imputer',\n",
       "                                                                   SimpleImputer(fill_value='missing',\n",
       "                                                                                 strategy='constant')),\n",
       "                                                                  ('cat_encoder',\n",
       "                                                                   OneHotEncoder(handle_unknown='ignore'))]),\n",
       "                                                  ['COW', 'SCHL', 'MAR', 'RELP',\n",
       "                                                   'SEX', 'RAC1P'])])),\n",
       "                ('rf',\n",
       "                 RandomForestClassifier(max_depth=10, max_features=40,\n",
       "                                        random_state=1))])"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get train data to train the classifier\n",
    "X_train = train_data[model_features]\n",
    "y_train = train_data[model_target]\n",
    "\n",
    "# Fit the classifier to the train data\n",
    "# Train data going through the Pipeline is imputed (with means from the train data),\n",
    "#   scaled (with the min/max from the train data),\n",
    "#   and finally used to fit the model\n",
    "pipeline.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model performance on the validation set:\n",
      "Validation accuracy: 0.8070198852262112\n"
     ]
    }
   ],
   "source": [
    "# Get train data to train the classifier\n",
    "X_val = val_data[model_features]\n",
    "y_val = val_data[model_target]\n",
    "\n",
    "y_val_pred = pipeline.predict(X_val)\n",
    "\n",
    "print(\"Model performance on the validation set:\")\n",
    "print(\"Validation accuracy:\", accuracy_score(y_val, y_val_pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. <a name=\"4\">Test the Classifier</a>\n",
    "(<a href=\"#0\">Go to top</a>)\n",
    "\n",
    "Let's now evaluate the performance of the trained classifier on the test dataset. We use __.predict()__ this time. \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model performance on the test set:\n",
      "Test accuracy: 0.7975139614483877\n"
     ]
    }
   ],
   "source": [
    "# Get validation data to validate the classifier\n",
    "X_test = test_data[model_features]\n",
    "y_test = test_data[model_target]\n",
    "\n",
    "# Use the fitted model to make predictions on the test dataset\n",
    "# Test data going through the Pipeline is imputed (with means from the train data),\n",
    "#   scaled (with the min/max from the train data),\n",
    "#   and finally used to make predictions\n",
    "test_predictions = pipeline.predict(X_test)\n",
    "\n",
    "print(\"Model performance on the test set:\")\n",
    "print(\"Test accuracy:\", accuracy_score(y_test, test_predictions))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. <a name=\"5\">SHAP Values</a>\n",
    "(<a href=\"#0\">Go to top</a>)\n",
    "\n",
    "SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model. It connects optimal credit allocation with local explanations using the classic Shapley values from game theory and their related extensions (see [paper](https://proceedings.neurips.cc/paper/2017/hash/8a20a8621978632d76c43dfd28b67767-Abstract.html) for details).\n",
    "\n",
    "\n",
    "Let's have a look at SHAP values and plots for our dataset. To make the explanations more easily understandable, we extract the features names and create a small sample dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "ft_names = numerical_features + list(\n",
    "    data_processor.transformers_[1][1]\n",
    "    .named_steps[\"cat_encoder\"]\n",
    "    .get_feature_names(categorical_features)\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let's take a smaller sub-sample of the training dataset to generate explanations with SHAP\n",
    "X_sample = pd.DataFrame(\n",
    "    pipeline[0].transform(X_train[:200]).toarray(), columns=ft_names\n",
    ")\n",
    "\n",
    "# Create the explanations by passing in the model and the data\n",
    "explainer = shap.Explainer(pipeline[-1])\n",
    "shap_values = explainer(X_sample)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will now look at an explanation created with SHAP. The explanation starts with a base value and will add & subtract SHAP values that push the model output from the base value (the average model output over the training dataset we passed) to the model output. Features pushing the prediction higher are shown in red, those pushing the prediction lower are in blue."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
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n.childContextTypes?u(\"107\",this.getName()||\"ReactCompositeComponent\"):void 0;for(var i in e)i in n.childContextTypes?void 0:u(\"108\",this.getName()||\"ReactCompositeComponent\",i);return c({},t,e)}return t},_checkContextTypes:function(t,e,n){},receiveComponent:function(t,e,n){var r=this._currentElement,i=this._context;this._pendingElement=null,this.updateComponent(e,r,t,i,n)},performUpdateIfNecessary:function(t){null!=this._pendingElement?v.receiveComponent(this,this._pendingElement,t,this._context):null!==this._pendingStateQueue||this._pendingForceUpdate?this.updateComponent(t,this._currentElement,this._currentElement,this._context,this._context):this._updateBatchNumber=null},updateComponent:function(t,e,n,r,i){var o=this._instance;null==o?u(\"136\",this.getName()||\"ReactCompositeComponent\"):void 0;var a,c=!1;this._context===i?a=o.context:(a=this._processContext(i),c=!0);var s=e.props,l=n.props;e!==n&&(c=!0),c&&o.componentWillReceiveProps&&o.componentWillReceiveProps(l,a);var f=this._processPendingState(l,a),p=!0;this._pendingForceUpdate||(o.shouldComponentUpdate?p=o.shouldComponentUpdate(l,f,a):this._compositeType===_.PureClass&&(p=!m(s,l)||!m(o.state,f))),this._updateBatchNumber=null,p?(this._pendingForceUpdate=!1,this._performComponentUpdate(n,l,f,a,t,i)):(this._currentElement=n,this._context=i,o.props=l,o.state=f,o.context=a)},_processPendingState:function(t,e){var n=this._instance,r=this._pendingStateQueue,i=this._pendingReplaceState;if(this._pendingReplaceState=!1,this._pendingStateQueue=null,!r)return n.state;if(i&&1===r.length)return r[0];for(var o=c({},i?r[0]:n.state),a=i?1:0;a<r.length;a++){var u=r[a];c(o,\"function\"==typeof u?u.call(n,o,t,e):u)}return o},_performComponentUpdate:function(t,e,n,r,i,o){var a,u,c,s=this._instance,l=Boolean(s.componentDidUpdate);l&&(a=s.props,u=s.state,c=s.context),s.componentWillUpdate&&s.componentWillUpdate(e,n,r),this._currentElement=t,this._context=o,s.props=e,s.state=n,s.context=r,this._updateRenderedComponent(i,o),l&&i.getReactMountReady().enqueue(s.componentDidUpdate.bind(s,a,u,c),s)},_updateRenderedComponent:function(t,e){var n=this._renderedComponent,r=n._currentElement,i=this._renderValidatedComponent(),o=0;if(y(r,i))v.receiveComponent(n,i,t,this._processChildContext(e));else{var a=v.getHostNode(n);v.unmountComponent(n,!1);var u=d.getType(i);this._renderedNodeType=u;var c=this._instantiateReactComponent(i,u!==d.EMPTY);this._renderedComponent=c;var s=v.mountComponent(c,t,this._hostParent,this._hostContainerInfo,this._processChildContext(e),o);this._replaceNodeWithMarkup(a,s,n)}},_replaceNodeWithMarkup:function(t,e,n){l.replaceNodeWithMarkup(t,e,n)},_renderValidatedComponentWithoutOwnerOrContext:function(){var t,e=this._instance;return t=e.render()},_renderValidatedComponent:function(){var t;if(this._compositeType!==_.StatelessFunctional){f.current=this;try{t=this._renderValidatedComponentWithoutOwnerOrContext()}finally{f.current=null}}else t=this._renderValidatedComponentWithoutOwnerOrContext();return null===t||t===!1||s.isValidElement(t)?void 0:u(\"109\",this.getName()||\"ReactCompositeComponent\"),t},attachRef:function(t,e){var n=this.getPublicInstance();null==n?u(\"110\"):void 0;var r=e.getPublicInstance(),i=n.refs===g?n.refs={}:n.refs;i[t]=r},detachRef:function(t){var e=this.getPublicInstance().refs;delete e[t]},getName:function(){var t=this._currentElement.type,e=this._instance&&this._instance.constructor;return t.displayName||e&&e.displayName||t.name||e&&e.name||null},getPublicInstance:function(){var t=this._instance;return this._compositeType===_.StatelessFunctional?null:t},_instantiateReactComponent:null};t.exports=x},function(t,e,n){\"use strict\";var r=n(4),i=n(358),o=n(163),a=n(24),u=n(11),c=n(371),s=n(387),l=n(167),f=n(395);n(1);i.inject();var p={findDOMNode:s,render:o.render,unmountComponentAtNode:o.unmountComponentAtNode,version:c,unstable_batchedUpdates:u.batchedUpdates,unstable_renderSubtreeIntoContainer:f};\"undefined\"!=typeof __REACT_DEVTOOLS_GLOBAL_HOOK__&&\"function\"==typeof __REACT_DEVTOOLS_GLOBAL_HOOK__.inject&&__REACT_DEVTOOLS_GLOBAL_HOOK__.inject({ComponentTree:{getClosestInstanceFromNode:r.getClosestInstanceFromNode,getNodeFromInstance:function(t){return t._renderedComponent&&(t=l(t)),t?r.getNodeFromInstance(t):null}},Mount:o,Reconciler:a});t.exports=p},function(t,e,n){\"use strict\";function r(t){if(t){var e=t._currentElement._owner||null;if(e){var n=e.getName();if(n)return\" This DOM node was rendered by `\"+n+\"`.\"}}return\"\"}function i(t,e){e&&(G[t._tag]&&(null!=e.children||null!=e.dangerouslySetInnerHTML?v(\"137\",t._tag,t._currentElement._owner?\" Check the render method of \"+t._currentElement._owner.getName()+\".\":\"\"):void 0),null!=e.dangerouslySetInnerHTML&&(null!=e.children?v(\"60\"):void 0,\"object\"==typeof e.dangerouslySetInnerHTML&&V in e.dangerouslySetInnerHTML?void 0:v(\"61\")),null!=e.style&&\"object\"!=typeof e.style?v(\"62\",r(t)):void 0)}function o(t,e,n,r){if(!(r instanceof I)){var i=t._hostContainerInfo,o=i._node&&i._node.nodeType===H,u=o?i._node:i._ownerDocument;F(e,u),r.getReactMountReady().enqueue(a,{inst:t,registrationName:e,listener:n})}}function a(){var t=this;C.putListener(t.inst,t.registrationName,t.listener)}function u(){var t=this;S.postMountWrapper(t)}function c(){var t=this;A.postMountWrapper(t)}function s(){var t=this;P.postMountWrapper(t)}function l(){var t=this;t._rootNodeID?void 0:v(\"63\");var e=U(t);switch(e?void 0:v(\"64\"),t._tag){case\"iframe\":case\"object\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topLoad\",\"load\",e)];break;case\"video\":case\"audio\":t._wrapperState.listeners=[];for(var n in q)q.hasOwnProperty(n)&&t._wrapperState.listeners.push(k.trapBubbledEvent(n,q[n],e));break;case\"source\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topError\",\"error\",e)];break;case\"img\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topError\",\"error\",e),k.trapBubbledEvent(\"topLoad\",\"load\",e)];break;case\"form\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topReset\",\"reset\",e),k.trapBubbledEvent(\"topSubmit\",\"submit\",e)];break;case\"input\":case\"select\":case\"textarea\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topInvalid\",\"invalid\",e)]}}function f(){N.postUpdateWrapper(this)}function p(t){Z.call(X,t)||($.test(t)?void 0:v(\"65\",t),X[t]=!0)}function h(t,e){return t.indexOf(\"-\")>=0||null!=e.is}function d(t){var e=t.type;p(e),this._currentElement=t,this._tag=e.toLowerCase(),this._namespaceURI=null,this._renderedChildren=null,this._previousStyle=null,this._previousStyleCopy=null,this._hostNode=null,this._hostParent=null,this._rootNodeID=0,this._domID=0,this._hostContainerInfo=null,this._wrapperState=null,this._topLevelWrapper=null,this._flags=0}var v=n(2),g=n(3),m=n(332),y=n(334),_=n(20),b=n(82),x=n(21),w=n(156),C=n(22),M=n(83),k=n(51),E=n(157),T=n(4),S=n(351),P=n(352),N=n(158),A=n(355),O=(n(9),n(364)),I=n(369),D=(n(8),n(54)),R=(n(0),n(94),n(80),n(96),n(1),E),L=C.deleteListener,U=T.getNodeFromInstance,F=k.listenTo,j=M.registrationNameModules,B={string:!0,number:!0},W=\"style\",V=\"__html\",z={children:null,dangerouslySetInnerHTML:null,suppressContentEditableWarning:null},H=11,q={topAbort:\"abort\",topCanPlay:\"canplay\",topCanPlayThrough:\"canplaythrough\",topDurationChange:\"durationchange\",topEmptied:\"emptied\",topEncrypted:\"encrypted\",topEnded:\"ended\",topError:\"error\",topLoadedData:\"loadeddata\",topLoadedMetadata:\"loadedmetadata\",topLoadStart:\"loadstart\",topPause:\"pause\",topPlay:\"play\",topPlaying:\"playing\",topProgress:\"progress\",topRateChange:\"ratechange\",topSeeked:\"seeked\",topSeeking:\"seeking\",topStalled:\"stalled\",topSuspend:\"suspend\",topTimeUpdate:\"timeupdate\",topVolumeChange:\"volumechange\",topWaiting:\"waiting\"},Y={area:!0,base:!0,br:!0,col:!0,embed:!0,hr:!0,img:!0,input:!0,keygen:!0,link:!0,meta:!0,param:!0,source:!0,track:!0,wbr:!0},K={listing:!0,pre:!0,textarea:!0},G=g({menuitem:!0},Y),$=/^[a-zA-Z][a-zA-Z:_\\.\\-\\d]*$/,X={},Z={}.hasOwnProperty,Q=1;d.displayName=\"ReactDOMComponent\",d.Mixin={mountComponent:function(t,e,n,r){this._rootNodeID=Q++,this._domID=n._idCounter++,this._hostParent=e,this._hostContainerInfo=n;var o=this._currentElement.props;switch(this._tag){case\"audio\":case\"form\":case\"iframe\":case\"img\":case\"link\":case\"object\":case\"source\":case\"video\":this._wrapperState={listeners:null},t.getReactMountReady().enqueue(l,this);break;case\"input\":S.mountWrapper(this,o,e),o=S.getHostProps(this,o),t.getReactMountReady().enqueue(l,this);break;case\"option\":P.mountWrapper(this,o,e),o=P.getHostProps(this,o);break;case\"select\":N.mountWrapper(this,o,e),o=N.getHostProps(this,o),t.getReactMountReady().enqueue(l,this);break;case\"textarea\":A.mountWrapper(this,o,e),o=A.getHostProps(this,o),t.getReactMountReady().enqueue(l,this)}i(this,o);var a,f;null!=e?(a=e._namespaceURI,f=e._tag):n._tag&&(a=n._namespaceURI,f=n._tag),(null==a||a===b.svg&&\"foreignobject\"===f)&&(a=b.html),a===b.html&&(\"svg\"===this._tag?a=b.svg:\"math\"===this._tag&&(a=b.mathml)),this._namespaceURI=a;var p;if(t.useCreateElement){var h,d=n._ownerDocument;if(a===b.html)if(\"script\"===this._tag){var v=d.createElement(\"div\"),g=this._currentElement.type;v.innerHTML=\"<\"+g+\"></\"+g+\">\",h=v.removeChild(v.firstChild)}else h=o.is?d.createElement(this._currentElement.type,o.is):d.createElement(this._currentElement.type);else h=d.createElementNS(a,this._currentElement.type);T.precacheNode(this,h),this._flags|=R.hasCachedChildNodes,this._hostParent||w.setAttributeForRoot(h),this._updateDOMProperties(null,o,t);var y=_(h);this._createInitialChildren(t,o,r,y),p=y}else{var x=this._createOpenTagMarkupAndPutListeners(t,o),C=this._createContentMarkup(t,o,r);p=!C&&Y[this._tag]?x+\"/>\":x+\">\"+C+\"</\"+this._currentElement.type+\">\"}switch(this._tag){case\"input\":t.getReactMountReady().enqueue(u,this),o.autoFocus&&t.getReactMountReady().enqueue(m.focusDOMComponent,this);break;case\"textarea\":t.getReactMountReady().enqueue(c,this),o.autoFocus&&t.getReactMountReady().enqueue(m.focusDOMComponent,this);break;case\"select\":o.autoFocus&&t.getReactMountReady().enqueue(m.focusDOMComponent,this);break;case\"button\":o.autoFocus&&t.getReactMountReady().enqueue(m.focusDOMComponent,this);break;case\"option\":t.getReactMountReady().enqueue(s,this)}return p},_createOpenTagMarkupAndPutListeners:function(t,e){var n=\"<\"+this._currentElement.type;for(var r in e)if(e.hasOwnProperty(r)){var i=e[r];if(null!=i)if(j.hasOwnProperty(r))i&&o(this,r,i,t);else{r===W&&(i&&(i=this._previousStyleCopy=g({},e.style)),i=y.createMarkupForStyles(i,this));var a=null;null!=this._tag&&h(this._tag,e)?z.hasOwnProperty(r)||(a=w.createMarkupForCustomAttribute(r,i)):a=w.createMarkupForProperty(r,i),a&&(n+=\" \"+a)}}return t.renderToStaticMarkup?n:(this._hostParent||(n+=\" \"+w.createMarkupForRoot()),n+=\" \"+w.createMarkupForID(this._domID))},_createContentMarkup:function(t,e,n){var r=\"\",i=e.dangerouslySetInnerHTML;if(null!=i)null!=i.__html&&(r=i.__html);else{var o=B[typeof e.children]?e.children:null,a=null!=o?null:e.children;if(null!=o)r=D(o);else if(null!=a){var u=this.mountChildren(a,t,n);r=u.join(\"\")}}return K[this._tag]&&\"\\n\"===r.charAt(0)?\"\\n\"+r:r},_createInitialChildren:function(t,e,n,r){var i=e.dangerouslySetInnerHTML;if(null!=i)null!=i.__html&&_.queueHTML(r,i.__html);else{var o=B[typeof e.children]?e.children:null,a=null!=o?null:e.children;if(null!=o)\"\"!==o&&_.queueText(r,o);else if(null!=a)for(var u=this.mountChildren(a,t,n),c=0;c<u.length;c++)_.queueChild(r,u[c])}},receiveComponent:function(t,e,n){var r=this._currentElement;this._currentElement=t,this.updateComponent(e,r,t,n)},updateComponent:function(t,e,n,r){var o=e.props,a=this._currentElement.props;switch(this._tag){case\"input\":o=S.getHostProps(this,o),a=S.getHostProps(this,a);break;case\"option\":o=P.getHostProps(this,o),a=P.getHostProps(this,a);break;case\"select\":o=N.getHostProps(this,o),a=N.getHostProps(this,a);break;case\"textarea\":o=A.getHostProps(this,o),a=A.getHostProps(this,a)}switch(i(this,a),this._updateDOMProperties(o,a,t),this._updateDOMChildren(o,a,t,r),this._tag){case\"input\":S.updateWrapper(this);break;case\"textarea\":A.updateWrapper(this);break;case\"select\":t.getReactMountReady().enqueue(f,this)}},_updateDOMProperties:function(t,e,n){var r,i,a;for(r in t)if(!e.hasOwnProperty(r)&&t.hasOwnProperty(r)&&null!=t[r])if(r===W){var u=this._previousStyleCopy;for(i in u)u.hasOwnProperty(i)&&(a=a||{},a[i]=\"\");this._previousStyleCopy=null}else j.hasOwnProperty(r)?t[r]&&L(this,r):h(this._tag,t)?z.hasOwnProperty(r)||w.deleteValueForAttribute(U(this),r):(x.properties[r]||x.isCustomAttribute(r))&&w.deleteValueForProperty(U(this),r);for(r in e){var c=e[r],s=r===W?this._previousStyleCopy:null!=t?t[r]:void 0;if(e.hasOwnProperty(r)&&c!==s&&(null!=c||null!=s))if(r===W)if(c?c=this._previousStyleCopy=g({},c):this._previousStyleCopy=null,s){for(i in s)!s.hasOwnProperty(i)||c&&c.hasOwnProperty(i)||(a=a||{},a[i]=\"\");for(i in c)c.hasOwnProperty(i)&&s[i]!==c[i]&&(a=a||{},a[i]=c[i])}else a=c;else if(j.hasOwnProperty(r))c?o(this,r,c,n):s&&L(this,r);else if(h(this._tag,e))z.hasOwnProperty(r)||w.setValueForAttribute(U(this),r,c);else if(x.properties[r]||x.isCustomAttribute(r)){var l=U(this);null!=c?w.setValueForProperty(l,r,c):w.deleteValueForProperty(l,r)}}a&&y.setValueForStyles(U(this),a,this)},_updateDOMChildren:function(t,e,n,r){var i=B[typeof t.children]?t.children:null,o=B[typeof e.children]?e.children:null,a=t.dangerouslySetInnerHTML&&t.dangerouslySetInnerHTML.__html,u=e.dangerouslySetInnerHTML&&e.dangerouslySetInnerHTML.__html,c=null!=i?null:t.children,s=null!=o?null:e.children,l=null!=i||null!=a,f=null!=o||null!=u;null!=c&&null==s?this.updateChildren(null,n,r):l&&!f&&this.updateTextContent(\"\"),null!=o?i!==o&&this.updateTextContent(\"\"+o):null!=u?a!==u&&this.updateMarkup(\"\"+u):null!=s&&this.updateChildren(s,n,r)},getHostNode:function(){return U(this)},unmountComponent:function(t){switch(this._tag){case\"audio\":case\"form\":case\"iframe\":case\"img\":case\"link\":case\"object\":case\"source\":case\"video\":var e=this._wrapperState.listeners;if(e)for(var n=0;n<e.length;n++)e[n].remove();break;case\"html\":case\"head\":case\"body\":v(\"66\",this._tag)}this.unmountChildren(t),T.uncacheNode(this),C.deleteAllListeners(this),this._rootNodeID=0,this._domID=0,this._wrapperState=null},getPublicInstance:function(){return U(this)}},g(d.prototype,d.Mixin,O.Mixin),t.exports=d},function(t,e,n){\"use strict\";function r(t,e){var n={_topLevelWrapper:t,_idCounter:1,_ownerDocument:e?e.nodeType===i?e:e.ownerDocument:null,_node:e,_tag:e?e.nodeName.toLowerCase():null,_namespaceURI:e?e.namespaceURI:null};return n}var i=(n(96),9);t.exports=r},function(t,e,n){\"use strict\";var r=n(3),i=n(20),o=n(4),a=function(t){this._currentElement=null,this._hostNode=null,this._hostParent=null,this._hostContainerInfo=null,this._domID=0};r(a.prototype,{mountComponent:function(t,e,n,r){var a=n._idCounter++;this._domID=a,this._hostParent=e,this._hostContainerInfo=n;var u=\" react-empty: \"+this._domID+\" \";if(t.useCreateElement){var c=n._ownerDocument,s=c.createComment(u);return o.precacheNode(this,s),i(s)}return t.renderToStaticMarkup?\"\":\"<!--\"+u+\"-->\"},receiveComponent:function(){},getHostNode:function(){return o.getNodeFromInstance(this)},unmountComponent:function(){o.uncacheNode(this)}}),t.exports=a},function(t,e,n){\"use strict\";var r={useCreateElement:!0,useFiber:!1};t.exports=r},function(t,e,n){\"use strict\";var r=n(81),i=n(4),o={dangerouslyProcessChildrenUpdates:function(t,e){var n=i.getNodeFromInstance(t);r.processUpdates(n,e)}};t.exports=o},function(t,e,n){\"use strict\";function r(){this._rootNodeID&&f.updateWrapper(this)}function i(t){var e=this._currentElement.props,n=c.executeOnChange(e,t);l.asap(r,this);var i=e.name;if(\"radio\"===e.type&&null!=i){for(var a=s.getNodeFromInstance(this),u=a;u.parentNode;)u=u.parentNode;for(var f=u.querySelectorAll(\"input[name=\"+JSON.stringify(\"\"+i)+'][type=\"radio\"]'),p=0;p<f.length;p++){var h=f[p];if(h!==a&&h.form===a.form){var d=s.getInstanceFromNode(h);d?void 0:o(\"90\"),l.asap(r,d)}}}return n}var o=n(2),a=n(3),u=n(156),c=n(85),s=n(4),l=n(11),f=(n(0),n(1),{getHostProps:function(t,e){var n=c.getValue(e),r=c.getChecked(e),i=a({type:void 0,step:void 0,min:void 0,max:void 0},e,{defaultChecked:void 0,defaultValue:void 0,value:null!=n?n:t._wrapperState.initialValue,checked:null!=r?r:t._wrapperState.initialChecked,onChange:t._wrapperState.onChange});return i},mountWrapper:function(t,e){var n=e.defaultValue;t._wrapperState={initialChecked:null!=e.checked?e.checked:e.defaultChecked,initialValue:null!=e.value?e.value:n,listeners:null,onChange:i.bind(t)}},updateWrapper:function(t){var e=t._currentElement.props,n=e.checked;null!=n&&u.setValueForProperty(s.getNodeFromInstance(t),\"checked\",n||!1);var r=s.getNodeFromInstance(t),i=c.getValue(e);if(null!=i){var o=\"\"+i;o!==r.value&&(r.value=o)}else null==e.value&&null!=e.defaultValue&&r.defaultValue!==\"\"+e.defaultValue&&(r.defaultValue=\"\"+e.defaultValue),null==e.checked&&null!=e.defaultChecked&&(r.defaultChecked=!!e.defaultChecked)},postMountWrapper:function(t){var e=t._currentElement.props,n=s.getNodeFromInstance(t);switch(e.type){case\"submit\":case\"reset\":break;case\"color\":case\"date\":case\"datetime\":case\"datetime-local\":case\"month\":case\"time\":case\"week\":n.value=\"\",n.value=n.defaultValue;break;default:n.value=n.value}var r=n.name;\"\"!==r&&(n.name=\"\"),n.defaultChecked=!n.defaultChecked,n.defaultChecked=!n.defaultChecked,\"\"!==r&&(n.name=r)}});t.exports=f},function(t,e,n){\"use strict\";function r(t){var e=\"\";return o.Children.forEach(t,function(t){null!=t&&(\"string\"==typeof t||\"number\"==typeof t?e+=t:c||(c=!0))}),e}var i=n(3),o=n(26),a=n(4),u=n(158),c=(n(1),!1),s={mountWrapper:function(t,e,n){var i=null;if(null!=n){var o=n;\"optgroup\"===o._tag&&(o=o._hostParent),null!=o&&\"select\"===o._tag&&(i=u.getSelectValueContext(o))}var a=null;if(null!=i){var c;if(c=null!=e.value?e.value+\"\":r(e.children),a=!1,Array.isArray(i)){for(var s=0;s<i.length;s++)if(\"\"+i[s]===c){a=!0;break}}else a=\"\"+i===c}t._wrapperState={selected:a}},postMountWrapper:function(t){var e=t._currentElement.props;if(null!=e.value){var n=a.getNodeFromInstance(t);n.setAttribute(\"value\",e.value)}},getHostProps:function(t,e){var n=i({selected:void 0,children:void 0},e);null!=t._wrapperState.selected&&(n.selected=t._wrapperState.selected);var o=r(e.children);return o&&(n.children=o),n}};t.exports=s},function(t,e,n){\"use strict\";function r(t,e,n,r){return t===n&&e===r}function i(t){var e=document.selection,n=e.createRange(),r=n.text.length,i=n.duplicate();i.moveToElementText(t),i.setEndPoint(\"EndToStart\",n);var o=i.text.length,a=o+r;return{start:o,end:a}}function o(t){var e=window.getSelection&&window.getSelection();if(!e||0===e.rangeCount)return null;var n=e.anchorNode,i=e.anchorOffset,o=e.focusNode,a=e.focusOffset,u=e.getRangeAt(0);try{u.startContainer.nodeType,u.endContainer.nodeType}catch(t){return null}var c=r(e.anchorNode,e.anchorOffset,e.focusNode,e.focusOffset),s=c?0:u.toString().length,l=u.cloneRange();l.selectNodeContents(t),l.setEnd(u.startContainer,u.startOffset);var f=r(l.startContainer,l.startOffset,l.endContainer,l.endOffset),p=f?0:l.toString().length,h=p+s,d=document.createRange();d.setStart(n,i),d.setEnd(o,a);var v=d.collapsed;return{start:v?h:p,end:v?p:h}}function a(t,e){var n,r,i=document.selection.createRange().duplicate();void 0===e.end?(n=e.start,r=n):e.start>e.end?(n=e.end,r=e.start):(n=e.start,r=e.end),i.moveToElementText(t),i.moveStart(\"character\",n),i.setEndPoint(\"EndToStart\",i),i.moveEnd(\"character\",r-n),i.select()}function u(t,e){if(window.getSelection){var n=window.getSelection(),r=t[l()].length,i=Math.min(e.start,r),o=void 0===e.end?i:Math.min(e.end,r);if(!n.extend&&i>o){var a=o;o=i,i=a}var u=s(t,i),c=s(t,o);if(u&&c){var f=document.createRange();f.setStart(u.node,u.offset),n.removeAllRanges(),i>o?(n.addRange(f),n.extend(c.node,c.offset)):(f.setEnd(c.node,c.offset),n.addRange(f))}}}var c=n(6),s=n(392),l=n(168),f=c.canUseDOM&&\"selection\"in document&&!(\"getSelection\"in window),p={getOffsets:f?i:o,setOffsets:f?a:u};t.exports=p},function(t,e,n){\"use strict\";var r=n(2),i=n(3),o=n(81),a=n(20),u=n(4),c=n(54),s=(n(0),n(96),function(t){this._currentElement=t,this._stringText=\"\"+t,this._hostNode=null,this._hostParent=null,this._domID=0,this._mountIndex=0,this._closingComment=null,this._commentNodes=null});i(s.prototype,{mountComponent:function(t,e,n,r){var i=n._idCounter++,o=\" react-text: \"+i+\" \",s=\" /react-text \";if(this._domID=i,this._hostParent=e,t.useCreateElement){var l=n._ownerDocument,f=l.createComment(o),p=l.createComment(s),h=a(l.createDocumentFragment());return a.queueChild(h,a(f)),this._stringText&&a.queueChild(h,a(l.createTextNode(this._stringText))),a.queueChild(h,a(p)),u.precacheNode(this,f),this._closingComment=p,h}var d=c(this._stringText);return t.renderToStaticMarkup?d:\"<!--\"+o+\"-->\"+d+\"<!--\"+s+\"-->\"},receiveComponent:function(t,e){if(t!==this._currentElement){this._currentElement=t;var n=\"\"+t;if(n!==this._stringText){this._stringText=n;var r=this.getHostNode();o.replaceDelimitedText(r[0],r[1],n)}}},getHostNode:function(){var t=this._commentNodes;if(t)return t;if(!this._closingComment)for(var e=u.getNodeFromInstance(this),n=e.nextSibling;;){if(null==n?r(\"67\",this._domID):void 0,8===n.nodeType&&\" /react-text \"===n.nodeValue){this._closingComment=n;break}n=n.nextSibling}return t=[this._hostNode,this._closingComment],this._commentNodes=t,t},unmountComponent:function(){this._closingComment=null,this._commentNodes=null,u.uncacheNode(this)}}),t.exports=s},function(t,e,n){\"use strict\";function r(){this._rootNodeID&&l.updateWrapper(this)}function i(t){var e=this._currentElement.props,n=u.executeOnChange(e,t);return s.asap(r,this),n}var o=n(2),a=n(3),u=n(85),c=n(4),s=n(11),l=(n(0),n(1),{getHostProps:function(t,e){null!=e.dangerouslySetInnerHTML?o(\"91\"):void 0;var n=a({},e,{value:void 0,defaultValue:void 0,children:\"\"+t._wrapperState.initialValue,onChange:t._wrapperState.onChange});return n},mountWrapper:function(t,e){var n=u.getValue(e),r=n;if(null==n){var a=e.defaultValue,c=e.children;null!=c&&(null!=a?o(\"92\"):void 0,Array.isArray(c)&&(c.length<=1?void 0:o(\"93\"),c=c[0]),a=\"\"+c),null==a&&(a=\"\"),r=a}t._wrapperState={initialValue:\"\"+r,listeners:null,onChange:i.bind(t)}},updateWrapper:function(t){var e=t._currentElement.props,n=c.getNodeFromInstance(t),r=u.getValue(e);if(null!=r){var i=\"\"+r;i!==n.value&&(n.value=i),null==e.defaultValue&&(n.defaultValue=i)}null!=e.defaultValue&&(n.defaultValue=e.defaultValue)},postMountWrapper:function(t){var e=c.getNodeFromInstance(t),n=e.textContent;\n",
       "n===t._wrapperState.initialValue&&(e.value=n)}});t.exports=l},function(t,e,n){\"use strict\";function r(t,e){\"_hostNode\"in t?void 0:c(\"33\"),\"_hostNode\"in e?void 0:c(\"33\");for(var n=0,r=t;r;r=r._hostParent)n++;for(var i=0,o=e;o;o=o._hostParent)i++;for(;n-i>0;)t=t._hostParent,n--;for(;i-n>0;)e=e._hostParent,i--;for(var a=n;a--;){if(t===e)return t;t=t._hostParent,e=e._hostParent}return null}function i(t,e){\"_hostNode\"in t?void 0:c(\"35\"),\"_hostNode\"in e?void 0:c(\"35\");for(;e;){if(e===t)return!0;e=e._hostParent}return!1}function o(t){return\"_hostNode\"in t?void 0:c(\"36\"),t._hostParent}function a(t,e,n){for(var r=[];t;)r.push(t),t=t._hostParent;var i;for(i=r.length;i-- >0;)e(r[i],\"captured\",n);for(i=0;i<r.length;i++)e(r[i],\"bubbled\",n)}function u(t,e,n,i,o){for(var a=t&&e?r(t,e):null,u=[];t&&t!==a;)u.push(t),t=t._hostParent;for(var c=[];e&&e!==a;)c.push(e),e=e._hostParent;var s;for(s=0;s<u.length;s++)n(u[s],\"bubbled\",i);for(s=c.length;s-- 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r(){C||(C=!0,y.EventEmitter.injectReactEventListener(m),y.EventPluginHub.injectEventPluginOrder(u),y.EventPluginUtils.injectComponentTree(p),y.EventPluginUtils.injectTreeTraversal(d),y.EventPluginHub.injectEventPluginsByName({SimpleEventPlugin:w,EnterLeaveEventPlugin:c,ChangeEventPlugin:a,SelectEventPlugin:x,BeforeInputEventPlugin:o}),y.HostComponent.injectGenericComponentClass(f),y.HostComponent.injectTextComponentClass(v),y.DOMProperty.injectDOMPropertyConfig(i),y.DOMProperty.injectDOMPropertyConfig(s),y.DOMProperty.injectDOMPropertyConfig(b),y.EmptyComponent.injectEmptyComponentFactory(function(t){return new h(t)}),y.Updates.injectReconcileTransaction(_),y.Updates.injectBatchingStrategy(g),y.Component.injectEnvironment(l))}var i=n(331),o=n(333),a=n(335),u=n(337),c=n(338),s=n(341),l=n(343),f=n(346),p=n(4),h=n(348),d=n(356),v=n(354),g=n(357),m=n(361),y=n(362),_=n(367),b=n(372),x=n(373),w=n(374),C=!1;t.exports={inject:r}},function(t,e,n){\"use strict\";var r=\"function\"==typeof 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v={_enabled:!0,_handleTopLevel:null,WINDOW_HANDLE:s.canUseDOM?window:null,setHandleTopLevel:function(t){v._handleTopLevel=t},setEnabled:function(t){v._enabled=!!t},isEnabled:function(){return v._enabled},trapBubbledEvent:function(t,e,n){return n?c.listen(n,e,v.dispatchEvent.bind(null,t)):null},trapCapturedEvent:function(t,e,n){return n?c.capture(n,e,v.dispatchEvent.bind(null,t)):null},monitorScrollValue:function(t){var e=a.bind(null,t);c.listen(window,\"scroll\",e)},dispatchEvent:function(t,e){if(v._enabled){var n=i.getPooled(t,e);try{p.batchedUpdates(o,n)}finally{i.release(n)}}}};t.exports=v},function(t,e,n){\"use strict\";var r=n(21),i=n(22),o=n(50),a=n(86),u=n(159),c=n(51),s=n(161),l=n(11),f={Component:a.injection,DOMProperty:r.injection,EmptyComponent:u.injection,EventPluginHub:i.injection,EventPluginUtils:o.injection,EventEmitter:c.injection,HostComponent:s.injection,Updates:l.injection};t.exports=f},function(t,e,n){\"use strict\";var r=n(385),i=/\\/?>/,o=/^<\\!\\-\\-/,a={CHECKSUM_ATTR_NAME:\"data-react-checksum\",addChecksumToMarkup:function(t){var e=r(t);return o.test(t)?t:t.replace(i,\" \"+a.CHECKSUM_ATTR_NAME+'=\"'+e+'\"$&')},canReuseMarkup:function(t,e){var n=e.getAttribute(a.CHECKSUM_ATTR_NAME);n=n&&parseInt(n,10);var i=r(t);return i===n}};t.exports=a},function(t,e,n){\"use strict\";function r(t,e,n){return{type:\"INSERT_MARKUP\",content:t,fromIndex:null,fromNode:null,toIndex:n,afterNode:e}}function i(t,e,n){return{type:\"MOVE_EXISTING\",content:null,fromIndex:t._mountIndex,fromNode:p.getHostNode(t),toIndex:n,afterNode:e}}function o(t,e){return{type:\"REMOVE_NODE\",content:null,fromIndex:t._mountIndex,fromNode:e,toIndex:null,afterNode:null}}function a(t){return{type:\"SET_MARKUP\",content:t,fromIndex:null,fromNode:null,toIndex:null,afterNode:null}}function u(t){return{type:\"TEXT_CONTENT\",content:t,fromIndex:null,fromNode:null,toIndex:null,afterNode:null}}function c(t,e){return e&&(t=t||[],t.push(e)),t}function s(t,e){f.processChildrenUpdates(t,e)}var l=n(2),f=n(86),p=(n(40),n(9),n(15),n(24)),h=n(342),d=(n(8),n(388)),v=(n(0),{Mixin:{_reconcilerInstantiateChildren:function(t,e,n){return h.instantiateChildren(t,e,n)},_reconcilerUpdateChildren:function(t,e,n,r,i,o){var a,u=0;return a=d(e,u),h.updateChildren(t,a,n,r,i,this,this._hostContainerInfo,o,u),a},mountChildren:function(t,e,n){var r=this._reconcilerInstantiateChildren(t,e,n);this._renderedChildren=r;var i=[],o=0;for(var a in r)if(r.hasOwnProperty(a)){var u=r[a],c=0,s=p.mountComponent(u,e,this,this._hostContainerInfo,n,c);u._mountIndex=o++,i.push(s)}return i},updateTextContent:function(t){var e=this._renderedChildren;h.unmountChildren(e,!1);for(var n in e)e.hasOwnProperty(n)&&l(\"118\");var r=[u(t)];s(this,r)},updateMarkup:function(t){var e=this._renderedChildren;h.unmountChildren(e,!1);for(var n in e)e.hasOwnProperty(n)&&l(\"118\");var r=[a(t)];s(this,r)},updateChildren:function(t,e,n){this._updateChildren(t,e,n)},_updateChildren:function(t,e,n){var r=this._renderedChildren,i={},o=[],a=this._reconcilerUpdateChildren(r,t,o,i,e,n);if(a||r){var u,l=null,f=0,h=0,d=0,v=null;for(u in a)if(a.hasOwnProperty(u)){var g=r&&r[u],m=a[u];g===m?(l=c(l,this.moveChild(g,v,f,h)),h=Math.max(g._mountIndex,h),g._mountIndex=f):(g&&(h=Math.max(g._mountIndex,h)),l=c(l,this._mountChildAtIndex(m,o[d],v,f,e,n)),d++),f++,v=p.getHostNode(m)}for(u in i)i.hasOwnProperty(u)&&(l=c(l,this._unmountChild(r[u],i[u])));l&&s(this,l),this._renderedChildren=a}},unmountChildren:function(t){var e=this._renderedChildren;h.unmountChildren(e,t),this._renderedChildren=null},moveChild:function(t,e,n,r){if(t._mountIndex<r)return i(t,e,n)},createChild:function(t,e,n){return r(n,e,t._mountIndex)},removeChild:function(t,e){return o(t,e)},_mountChildAtIndex:function(t,e,n,r,i,o){return t._mountIndex=r,this.createChild(t,n,e)},_unmountChild:function(t,e){var n=this.removeChild(t,e);return t._mountIndex=null,n}}});t.exports=v},function(t,e,n){\"use strict\";function r(t){return!(!t||\"function\"!=typeof t.attachRef||\"function\"!=typeof t.detachRef)}var i=n(2),o=(n(0),{addComponentAsRefTo:function(t,e,n){r(n)?void 0:i(\"119\"),n.attachRef(e,t)},removeComponentAsRefFrom:function(t,e,n){r(n)?void 0:i(\"120\");var o=n.getPublicInstance();o&&o.refs[e]===t.getPublicInstance()&&n.detachRef(e)}});t.exports=o},function(t,e,n){\"use strict\";var r=\"SECRET_DO_NOT_PASS_THIS_OR_YOU_WILL_BE_FIRED\";t.exports=r},function(t,e,n){\"use strict\";function r(t){this.reinitializeTransaction(),this.renderToStaticMarkup=!1,this.reactMountReady=o.getPooled(null),this.useCreateElement=t}var i=n(3),o=n(155),a=n(17),u=n(51),c=n(162),s=(n(9),n(53)),l=n(88),f={initialize:c.getSelectionInformation,close:c.restoreSelection},p={initialize:function(){var t=u.isEnabled();return u.setEnabled(!1),t},close:function(t){u.setEnabled(t)}},h={initialize:function(){this.reactMountReady.reset()},close:function(){this.reactMountReady.notifyAll()}},d=[f,p,h],v={getTransactionWrappers:function(){return d},getReactMountReady:function(){return this.reactMountReady},getUpdateQueue:function(){return l},checkpoint:function(){return this.reactMountReady.checkpoint()},rollback:function(t){this.reactMountReady.rollback(t)},destructor:function(){o.release(this.reactMountReady),this.reactMountReady=null}};i(r.prototype,s,v),a.addPoolingTo(r),t.exports=r},function(t,e,n){\"use strict\";function r(t,e,n){\"function\"==typeof t?t(e.getPublicInstance()):o.addComponentAsRefTo(e,t,n)}function i(t,e,n){\"function\"==typeof t?t(null):o.removeComponentAsRefFrom(e,t,n)}var o=n(365),a={};a.attachRefs=function(t,e){if(null!==e&&\"object\"==typeof e){var n=e.ref;null!=n&&r(n,t,e._owner)}},a.shouldUpdateRefs=function(t,e){var n=null,r=null;null!==t&&\"object\"==typeof 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\n",
      "text/plain": [
       "<Figure size 800x650 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "outcome_class = 0  # Needs to be 0 or 1 for binary classification\n",
    "\n",
    "# Set the style of plotting to white\n",
    "sns.set_style(\"white\")\n",
    "# Load JS visualization code to notebook\n",
    "shap.initjs()\n",
    "\n",
    "# Create waterfall plot\n",
    "shap.plots.waterfall(shap_values[0][:, outcome_class])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<div id='iSRI5I6JPUR3240YICZ7O'>\n",
       "<div style='color: #900; text-align: center;'>\n",
       "  <b>Visualization omitted, Javascript library not loaded!</b><br>\n",
       "  Have you run `initjs()` in this notebook? If this notebook was from another\n",
       "  user you must also trust this notebook (File -> Trust notebook). If you are viewing\n",
       "  this notebook on github the Javascript has been stripped for security. If you are using\n",
       "  JupyterLab this error is because a JupyterLab extension has not yet been written.\n",
       "</div></div>\n",
       " <script>\n",
       "   if (window.SHAP) SHAP.ReactDom.render(\n",
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      ],
      "text/plain": [
       "<shap.plots._force.AdditiveForceVisualizer at 0x7f133c90ad30>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datapoint_num = 2  # Needs to be between 0 and length of dataframe\n",
    "\n",
    "# Plot explanations\n",
    "shap.force_plot(\n",
    "    explainer.expected_value[outcome_class],\n",
    "    shap_values[datapoint_num].values[:, outcome_class],\n",
    "    X_sample.iloc[datapoint_num, :],\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If we take a range of data points and create explanations such as the one shown above, rotate them 90 degrees, and then stack them horizontally, we can see explanations for an entire dataset:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <b>Visualization omitted, Javascript library not loaded!</b><br>\n",
       "  Have you run `initjs()` in this notebook? If this notebook was from another\n",
       "  user you must also trust this notebook (File -> Trust notebook). If you are viewing\n",
       "  this notebook on github the Javascript has been stripped for security. If you are using\n",
       "  JupyterLab this error is because a JupyterLab extension has not yet been written.\n",
       "</div></div>\n",
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       "    document.getElementById('i1KKQG5XTZG7LL8XTV0DG')\n",
       "  );\n",
       "</script>"
      ],
      "text/plain": [
       "<shap.plots._force.AdditiveForceArrayVisualizer at 0x7f133fef3d90>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datapoint_range = 10\n",
    "\n",
    "shap.force_plot(\n",
    "    explainer.expected_value[outcome_class],\n",
    "    shap_values[0:datapoint_range].values[:datapoint_range, :, outcome_class],\n",
    "    X_sample.iloc[0:datapoint_range, :],\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The plot below sorts features by the sum of SHAP value magnitudes over all samples, and uses SHAP values to show the distribution of the impacts each feature has on the model output. The color represents the feature value (red high, blue low)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x550 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.plots.beeswarm(shap_values[:, :, outcome_class])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The mean absolute value of the SHAP values for each feature to get a standard bar plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x650 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.plots.bar(shap_values[0:datapoint_range, :, outcome_class])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The model in this notebook was trained without removal of sensitive features; it is concerning that both age and ethnicity show up very high in the overall importance. This should prompt bias mitigation. Explanations can clearly show this model behavior; it is therefore very important to look at why a model is making certain predictions to find these patterns."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is the end of this notebook."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "conda_pytorch_p39",
   "language": "python",
   "name": "conda_pytorch_p39"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}