{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d078def3",
   "metadata": {},
   "source": [
    "# Monitor Data Drift over years\n",
    "<b>With this tutorial you:</b><br />\n",
    "Understand how to use Eurybia to detect datadrift\n",
    "\n",
    "Contents:\n",
    "- Detect data drift  \n",
    "- Compile Drift over years\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c8f46b06",
   "metadata": {},
   "source": [
    "**Requirements notice** : the following tutorial may use third party modules not included in Eurybia.  \n",
    "You can find them all in one file [on our Github repository](https://github.com/MAIF/eurybia/blob/master/requirements.dev.txt) or you can manually install those you are missing, if any."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "197aa24c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from category_encoders import OrdinalEncoder\n",
    "from lightgbm import LGBMRegressor\n",
    "from eurybia import SmartDrift\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import mean_squared_log_error"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a9f1c0c",
   "metadata": {},
   "source": [
    "## Import Dataset and split in training and production dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7afa8a19",
   "metadata": {},
   "outputs": [],
   "source": [
    "from eurybia.data.data_loader import data_loading"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "4307a970",
   "metadata": {},
   "outputs": [],
   "source": [
    "house_df, house_dict = data_loading('house_prices')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "9ad61fd7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let us consider that the column \"YrSold\" corresponds to the reference date. \n",
    "#In 2006, a model was trained using data. And in 2007, we want to detect data drift on new data in production to predict\n",
    "#house price\n",
    "house_df_learning = house_df.loc[house_df['YrSold'] == 2006]\n",
    "house_df_2007 = house_df.loc[house_df['YrSold'] == 2007]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f9f3df4b",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_df_learning=house_df_learning['SalePrice'].to_frame()\n",
    "X_df_learning=house_df_learning[house_df_learning.columns.difference(['SalePrice','YrSold'])]\n",
    "\n",
    "y_df_2007=house_df_2007['SalePrice'].to_frame()\n",
    "X_df_2007=house_df_2007[house_df_2007.columns.difference(['SalePrice','YrSold'])]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f96e3de5",
   "metadata": {},
   "source": [
    "## Building Supervized Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3b25a871",
   "metadata": {},
   "outputs": [],
   "source": [
    "from category_encoders import OrdinalEncoder\n",
    "\n",
    "categorical_features = [col for col in X_df_learning.columns if X_df_learning[col].dtype == 'object']\n",
    "\n",
    "encoder = OrdinalEncoder(\n",
    "    cols=categorical_features,\n",
    "    handle_unknown='ignore',\n",
    "    return_df=True).fit(X_df_learning)\n",
    "\n",
    "X_df_learning_encoded=encoder.transform(X_df_learning)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c1f3b29c",
   "metadata": {},
   "outputs": [],
   "source": [
    "Xtrain, Xtest, ytrain, ytest = train_test_split(X_df_learning_encoded, y_df_learning, train_size=0.75, random_state=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7215288c",
   "metadata": {},
   "outputs": [],
   "source": [
    "regressor = LGBMRegressor(n_estimators=200).fit(Xtrain,ytrain)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c0a66eb2",
   "metadata": {},
   "source": [
    "## Use Eurybia for data drift"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6dce41f0",
   "metadata": {},
   "outputs": [],
   "source": [
    "from eurybia import SmartDrift"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "725a6088",
   "metadata": {},
   "outputs": [],
   "source": [
    "SD = SmartDrift(df_current=X_df_2007,\n",
    "                df_baseline=X_df_learning,\n",
    "                deployed_model=regressor, # Optional: put in perspective result with importance on deployed model\n",
    "                encoding=encoder # Optional: if deployed_model and encoder to use this model\n",
    "                )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "344e3d46",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 6 µs, sys: 2 µs, total: 8 µs\n",
      "Wall time: 17.2 µs\n",
      "The variable BsmtCond has mismatching unique values:\n",
      "['Poor -Severe cracking, settling, or wetness'] | []\n",
      "\n",
      "The variable Condition2 has mismatching unique values:\n",
      "['Near positive off-site feature--park, greenbelt, etc.', 'Adjacent to North-South Railroad', 'Adjacent to East-West Railroad'] | ['Adjacent to feeder street']\n",
      "\n",
      "The variable Electrical has mismatching unique values:\n",
      "['Mixed'] | ['60 AMP Fuse Box and mostly knob & tube wiring (poor)']\n",
      "\n",
      "The variable ExterQual has mismatching unique values:\n",
      "['Fair'] | []\n",
      "\n",
      "The variable Exterior1st has mismatching unique values:\n",
      "[] | ['Stone', 'Imitation Stucco']\n",
      "\n",
      "The variable Exterior2nd has mismatching unique values:\n",
      "['Asphalt Shingles', 'Brick Common'] | ['Other']\n",
      "\n",
      "The variable Foundation has mismatching unique values:\n",
      "[] | ['Stone', 'Wood']\n",
      "\n",
      "The variable Functional has mismatching unique values:\n",
      "['Major Deductions 2', 'Severely Damaged'] | ['Moderate Deductions']\n",
      "\n",
      "The variable GarageQual has mismatching unique values:\n",
      "[] | ['Excellent']\n",
      "\n",
      "The variable Heating has mismatching unique values:\n",
      "[] | ['Wall furnace']\n",
      "\n",
      "The variable HeatingQC has mismatching unique values:\n",
      "['Poor'] | []\n",
      "\n",
      "The variable LotConfig has mismatching unique values:\n",
      "[] | ['Frontage on 3 sides of property']\n",
      "\n",
      "The variable MSSubClass has mismatching unique values:\n",
      "['1-Story w/Finished Attic All Ages'] | []\n",
      "\n",
      "The variable Neighborhood has mismatching unique values:\n",
      "['Northpark Villa'] | []\n",
      "\n",
      "The variable RoofMatl has mismatching unique values:\n",
      "['Roll'] | ['Metal']\n",
      "\n",
      "The variable RoofStyle has mismatching unique values:\n",
      "['Mansard', 'Shed'] | []\n",
      "\n",
      "The variable SaleType has mismatching unique values:\n",
      "['Warranty Deed - Cash'] | ['Contract Low Interest', 'Contract Low Down', 'Contract Low Down payment and low interest']\n",
      "\n",
      "The variable Street has mismatching unique values:\n",
      "['Gravel'] | []\n",
      "\n",
      "The computed AUC on the X_test used to build datadrift_classifier is equal to: 0.626082251082251\n",
      "house_price_auc.csv did not exist and is created. \n"
     ]
    }
   ],
   "source": [
    "%time \n",
    "SD.compile(full_validation=True, # Optional: to save time, leave the default False value. If True, analyze consistency on modalities between columns.\n",
    "           date_compile_auc = '01/01/2007', # Optional: useful when computing the drift for a time that is not now\n",
    "           datadrift_file = \"house_price_auc.csv\" # Optional: name of the csv file that contains the performance history of data drift\n",
    "            )\n",
    "                 "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "12ee98ba",
   "metadata": {},
   "source": [
    "As soon as compile() method, Eurybia displays default consistency checks as warnings.<br />\n",
    "If some modalities are not present during training and are in production dataset, the deployed model will consider them wrongly.<br />\n",
    "Inversely, if some modalities are present during training and are not in production dataset, it means that some profiles are missing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "36ca3084",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "Report saved to ./report_house_price_datadrift_2007.html. To upload and share your report, create a free Datapane account by running `!datapane signup`."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.generate_report(    \n",
    "    output_file='report_house_price_datadrift_2007.html',    \n",
    "    title_story=\"Data drift\",\n",
    "    title_description=\"\"\"House price Data drift 2007\"\"\", # Optional: add a subtitle to describe report\n",
    "    project_info_file=\"../../eurybia/data/project_info_house_price.yml\" # Optional: add information on report\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b87062a",
   "metadata": {},
   "source": [
    "Eurybia is designed to generate an HTML report for analysis, and less for use in notebook mode. \n",
    "However, to illustrate functionalities, we will detail results with notebook mode analysis."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "79088691",
   "metadata": {},
   "source": [
    "## First Analysis of results of the data drift"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0893b964",
   "metadata": {},
   "source": [
    "Data driftn methodology is based on the ability of a model to discriminate whether an individual belongs to one of the two datasets.\n",
    "For this purpose a target 0 is assigned to the baseline dataset and a target 1 to the current dataset.\n",
    "Then a classification model (catboost) is learned to predict this target.\n",
    "The level of capacity of the data drift classifier to detect if an individual belongs to one of the 2 datasets represents the level of difference between the 2 datasets"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae3264d5",
   "metadata": {},
   "source": [
    "### Detection data drift performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "53b9e7f0",
   "metadata": {},
   "outputs": [
    {
     "data": {
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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Performance of datadrift classifier\n",
    "SD.plot.generate_indicator(fig_value=SD.auc, height=300, width=500, title=\"Datadrift classifier AUC\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "71510d9b",
   "metadata": {},
   "source": [
    "An Auc close to 0.5 means that there is little drift"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6d44c81e",
   "metadata": {},
   "source": [
    "### Importance of features in data drift"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "254bab01",
   "metadata": {},
   "source": [
    "This graph represents the variables in the data drift classification model that are most important to differentiate between the two datasets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "0515dfb4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.xpl.plot.features_importance()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "02b42aa6",
   "metadata": {},
   "source": [
    "We get the features with most gaps, those that are most important to analyse.\n",
    "With date bias introduced, it is normal that date features are the most impacted. We will then decide to remove them.\n",
    "Let's analyse other important variables"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "298da0cc",
   "metadata": {},
   "source": [
    "### Feature importance overview"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "de122753",
   "metadata": {},
   "source": [
    "This graph compares the importance of variables between the data drift classifier model and the deployed model. This allows us to put into perspective the importance of data drift in relation to the impacts to be expected on the deployed model. If the variable is at the top left, it means that the variable is very important for data drift classification, but that the variable has little influence on the deployed model. If the variable is at the bottom right, it means that the variable has little importance for data drift classification, and that the variable has a lot of influence on the deployed model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "94307417",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.plot.scatter_feature_importance() # works if deployed_model is filled"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ce4db18",
   "metadata": {},
   "source": [
    "Putting importance of the drift into perspective according to the importance of the model to be deployed, can help the data scientist to validate that his model can be deployed. <br />\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fdbc35f4",
   "metadata": {},
   "source": [
    "### Univariate analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d3f6c8f1",
   "metadata": {},
   "source": [
    "This graphs shows a particular feature's distribution over its possible values. In the drop-down menu, the variables are sorted by importance of the variables in the data drift classification. For categorical features, the possible values are sorted by descending difference between the two datasets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "b9aa98df",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.plot.generate_fig_univariate('YearRemodAdd')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c914576",
   "metadata": {},
   "source": [
    "### Distribution of predicted values"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "30c84fc4",
   "metadata": {},
   "source": [
    "This graph shows distributions of the production model outputs on both baseline and current datasets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "51c99e4c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.plot.generate_fig_univariate(df_all=SD.df_predict,col='Score',hue=\"dataset\") # works if deployed_model is filled"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b50bcb0",
   "metadata": {},
   "source": [
    "Jensen Shannon Divergence (JSD). The JSD measures the effect of a data drift on the deployed model performance. A value close to 0 indicates similar data distributions, while a value close to 1 tend to indicate distinct data distributions with a negative effect on the deployed model performance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "ceffb5da",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.plot.generate_indicator(\n",
    "                fig_value=SD.js_divergence,\n",
    "                height=280,\n",
    "                width=500,\n",
    "                title=\"Jensen Shannon Datadrift\",\n",
    "                min_gauge=0,\n",
    "                max_gauge=0.2,\n",
    "            ) #works if deployed_model is filled"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7f93151",
   "metadata": {},
   "source": [
    "## Compile Drift over years"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2fcad1b",
   "metadata": {},
   "source": [
    "### Compile Drift et generate report for Year 2008"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "3c658ba9",
   "metadata": {},
   "outputs": [],
   "source": [
    "house_df_2008 = house_df.loc[house_df['YrSold'] == 2008]\n",
    "\n",
    "y_df_2008=house_df_2008['SalePrice'].to_frame()\n",
    "X_df_2008=house_df_2008[house_df_2008.columns.difference(['SalePrice','YrSold'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "5aa0896b",
   "metadata": {},
   "outputs": [],
   "source": [
    "SD = SmartDrift(df_current=X_df_2008,\n",
    "                df_baseline=X_df_learning,\n",
    "                deployed_model=regressor, # Optional: put in perspective result with importance on deployed model\n",
    "                encoding=encoder # Optional: if deployed_model and encoder to use this model\n",
    "               )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "92ca7c35",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The variable Condition1 has mismatching unique values:\n",
      "[\"Within 200' of East-West Railroad\"] | []\n",
      "\n",
      "The variable Condition2 has mismatching unique values:\n",
      "['Adjacent to arterial street', \"Within 200' of North-South Railroad\", 'Adjacent to postive off-site feature', 'Near positive off-site feature--park, greenbelt, etc.'] | []\n",
      "\n",
      "The variable Electrical has mismatching unique values:\n",
      "['Mixed'] | []\n",
      "\n",
      "The variable ExterCond has mismatching unique values:\n",
      "['Excellent'] | []\n",
      "\n",
      "The variable ExterQual has mismatching unique values:\n",
      "['Fair'] | []\n",
      "\n",
      "The variable Exterior1st has mismatching unique values:\n",
      "[] | ['Imitation Stucco']\n",
      "\n",
      "The variable Exterior2nd has mismatching unique values:\n",
      "[] | ['Other', 'Stone']\n",
      "\n",
      "The variable Foundation has mismatching unique values:\n",
      "[] | ['Slab', 'Wood']\n",
      "\n",
      "The variable Functional has mismatching unique values:\n",
      "['Major Deductions 2'] | []\n",
      "\n",
      "The variable GarageCond has mismatching unique values:\n",
      "['Excellent'] | ['Poor']\n",
      "\n",
      "The variable GarageQual has mismatching unique values:\n",
      "[] | ['Poor']\n",
      "\n",
      "The variable GarageType has mismatching unique values:\n",
      "[] | ['More than one type of garage']\n",
      "\n",
      "The variable Heating has mismatching unique values:\n",
      "['Hot water or steam heat other than gas', 'Floor Furnace'] | ['Wall furnace']\n",
      "\n",
      "The variable MSSubClass has mismatching unique values:\n",
      "['1-Story w/Finished Attic All Ages'] | []\n",
      "\n",
      "The variable Neighborhood has mismatching unique values:\n",
      "['Northpark Villa', 'Bluestem'] | []\n",
      "\n",
      "The variable RoofMatl has mismatching unique values:\n",
      "['Membrane', 'Clay or Tile'] | ['Metal']\n",
      "\n",
      "The variable SaleCondition has mismatching unique values:\n",
      "[] | ['Sale between family members']\n",
      "\n",
      "The variable SaleType has mismatching unique values:\n",
      "['Contract 15% Down payment regular terms', 'Warranty Deed - Cash'] | ['Contract Low Interest', 'Other']\n",
      "\n",
      "The variable Street has mismatching unique values:\n",
      "['Gravel'] | []\n",
      "\n",
      "The computed AUC on the X_test used to build datadrift_classifier is equal to: 0.6877714667557634\n"
     ]
    }
   ],
   "source": [
    "SD.compile(full_validation=True, # Optional: to save time, leave the default False value. If True, analyze consistency on modalities between columns.\n",
    "           date_compile_auc = '01/01/2008', # Optional: useful when computing the drift for a time that is not now\n",
    "           datadrift_file = \"house_price_auc.csv\" # Optional: name of the csv file that contains the performance history of data drift\n",
    "          )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b87cbbee",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "9400fdc8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.plot.generate_historical_datadrift_metric() # works if date_compile_auc and/or datadrift_file are filled"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "04f0d6b9",
   "metadata": {},
   "source": [
    "------"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "03bca0b9",
   "metadata": {},
   "source": [
    "### Compile Drift et generate report for Year 2009"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "f28c44f9",
   "metadata": {},
   "outputs": [],
   "source": [
    "house_df_2009 = house_df.loc[house_df['YrSold'] == 2009]\n",
    "\n",
    "y_df_2009=house_df_2009['SalePrice'].to_frame()\n",
    "X_df_2009=house_df_2009[house_df_2009.columns.difference(['SalePrice','YrSold'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "a6f46c7e",
   "metadata": {},
   "outputs": [],
   "source": [
    "SD = SmartDrift(df_current=X_df_2009,\n",
    "                df_baseline=X_df_learning,\n",
    "                deployed_model=regressor, # Optional: put in perspective result with importance on deployed model\n",
    "                encoding=encoder # Optional: if deployed_model and encoder to use this model\n",
    "                )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "2618c106",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The variable BsmtCond has mismatching unique values:\n",
      "['Poor -Severe cracking, settling, or wetness'] | []\n",
      "\n",
      "The variable Condition1 has mismatching unique values:\n",
      "[] | ['Adjacent to East-West Railroad']\n",
      "\n",
      "The variable Condition2 has mismatching unique values:\n",
      "['Adjacent to arterial street'] | []\n",
      "\n",
      "The variable Electrical has mismatching unique values:\n",
      "[] | ['60 AMP Fuse Box and mostly knob & tube wiring (poor)']\n",
      "\n",
      "The variable ExterCond has mismatching unique values:\n",
      "['Excellent'] | []\n",
      "\n",
      "The variable ExterQual has mismatching unique values:\n",
      "['Fair'] | []\n",
      "\n",
      "The variable Exterior1st has mismatching unique values:\n",
      "['Brick Common', 'Cinder Block'] | ['Stone', 'Imitation Stucco']\n",
      "\n",
      "The variable Exterior2nd has mismatching unique values:\n",
      "['Brick Common', 'Cinder Block'] | ['Other']\n",
      "\n",
      "The variable Functional has mismatching unique values:\n",
      "['Major Deductions 2'] | []\n",
      "\n",
      "The variable GarageCond has mismatching unique values:\n",
      "['Excellent'] | ['Good']\n",
      "\n",
      "The variable GarageQual has mismatching unique values:\n",
      "[] | ['Poor']\n",
      "\n",
      "The variable GarageType has mismatching unique values:\n",
      "[] | ['More than one type of garage']\n",
      "\n",
      "The variable LotConfig has mismatching unique values:\n",
      "[] | ['Frontage on 3 sides of property']\n",
      "\n",
      "The variable MSSubClass has mismatching unique values:\n",
      "['1-Story w/Finished Attic All Ages'] | []\n",
      "\n",
      "The variable Neighborhood has mismatching unique values:\n",
      "['Northpark Villa', 'Bluestem'] | ['Veenker']\n",
      "\n",
      "The variable RoofMatl has mismatching unique values:\n",
      "[] | ['Metal', 'Wood Shakes']\n",
      "\n",
      "The variable RoofStyle has mismatching unique values:\n",
      "['Mansard'] | []\n",
      "\n",
      "The variable SaleCondition has mismatching unique values:\n",
      "[] | ['Adjoining Land Purchase']\n",
      "\n",
      "The variable SaleType has mismatching unique values:\n",
      "[] | ['Other']\n",
      "\n",
      "The variable Utilities has mismatching unique values:\n",
      "['Electricity and Gas Only'] | []\n",
      "\n",
      "The computed AUC on the X_test used to build datadrift_classifier is equal to: 0.5405695039804042\n"
     ]
    }
   ],
   "source": [
    "SD.compile(full_validation=True, # Optional: to save time, leave the default False value. If True, analyze consistency on modalities between columns.\n",
    "           date_compile_auc = '01/01/2009', # Optional: useful when computing the drift for a time that is not now\n",
    "           datadrift_file = \"house_price_auc.csv\" # Optional: name of the csv file that contains the performance history of data drift\n",
    "          )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "6a045bbc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.plot.generate_historical_datadrift_metric() # works if date_compile_auc and/or datadrift_file are filled"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "63c9c1d9",
   "metadata": {},
   "source": [
    "### Compile Drift et generate report for Year 2010"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "214b36a2",
   "metadata": {},
   "outputs": [],
   "source": [
    "house_df_2010 = house_df.loc[house_df['YrSold'] == 2010]\n",
    "\n",
    "y_df_2010=house_df_2010['SalePrice'].to_frame()\n",
    "X_df_2010=house_df_2010[house_df_2010.columns.difference(['SalePrice','YrSold'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "e0d62327",
   "metadata": {},
   "outputs": [],
   "source": [
    "SD = SmartDrift(df_current=X_df_2010,\n",
    "                df_baseline=X_df_learning,\n",
    "                deployed_model=regressor, # Optional: put in perspective result with importance on deployed model\n",
    "                encoding=encoder # Optional: if deployed_model and encoder to use this model\n",
    "               )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "860b4906",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The variable Condition1 has mismatching unique values:\n",
      "[\"Within 200' of East-West Railroad\"] | []\n",
      "\n",
      "The variable Electrical has mismatching unique values:\n",
      "[] | ['60 AMP Fuse Box and mostly knob & tube wiring (poor)']\n",
      "\n",
      "The variable ExterCond has mismatching unique values:\n",
      "['Poor'] | []\n",
      "\n",
      "The variable ExterQual has mismatching unique values:\n",
      "['Fair'] | []\n",
      "\n",
      "The variable Exterior1st has mismatching unique values:\n",
      "['Asphalt Shingles'] | ['Stone', 'Imitation Stucco']\n",
      "\n",
      "The variable Exterior2nd has mismatching unique values:\n",
      "['Asphalt Shingles', 'Brick Common'] | ['Other', 'Stone']\n",
      "\n",
      "The variable Functional has mismatching unique values:\n",
      "[] | ['Major Deductions 1']\n",
      "\n",
      "The variable GarageCond has mismatching unique values:\n",
      "[] | ['Poor', 'Good']\n",
      "\n",
      "The variable GarageQual has mismatching unique values:\n",
      "[] | ['Good', 'Excellent', 'Poor']\n",
      "\n",
      "The variable GarageType has mismatching unique values:\n",
      "[] | ['More than one type of garage']\n",
      "\n",
      "The variable Heating has mismatching unique values:\n",
      "[] | ['Gas hot water or steam heat', 'Wall furnace']\n",
      "\n",
      "The variable HouseStyle has mismatching unique values:\n",
      "[] | ['Two and one-half story: 2nd level finished', 'One and one-half story: 2nd level unfinished', 'Two and one-half story: 2nd level unfinished']\n",
      "\n",
      "The variable LotConfig has mismatching unique values:\n",
      "[] | ['Frontage on 3 sides of property']\n",
      "\n",
      "The variable LotShape has mismatching unique values:\n",
      "[] | ['Irregular']\n",
      "\n",
      "The variable MSSubClass has mismatching unique values:\n",
      "['1-Story w/Finished Attic All Ages'] | ['2-1/2 Story All Ages', '1-1/2 Story - Unfinished All Ages']\n",
      "\n",
      "The variable MSZoning has mismatching unique values:\n",
      "[] | ['Residential High Density']\n",
      "\n",
      "The variable Neighborhood has mismatching unique values:\n",
      "['Northpark Villa'] | ['Veenker']\n",
      "\n",
      "The variable RoofMatl has mismatching unique values:\n",
      "[] | ['Wood Shingles', 'Metal', 'Gravel & Tar']\n",
      "\n",
      "The variable RoofStyle has mismatching unique values:\n",
      "['Mansard', 'Shed'] | ['Flat']\n",
      "\n",
      "The variable SaleCondition has mismatching unique values:\n",
      "[] | ['Adjoining Land Purchase']\n",
      "\n",
      "The variable SaleType has mismatching unique values:\n",
      "['Contract 15% Down payment regular terms'] | ['Contract Low Down', 'Contract Low Down payment and low interest', 'Other']\n",
      "\n",
      "The variable Street has mismatching unique values:\n",
      "['Gravel'] | []\n",
      "\n",
      "The computed AUC on the X_test used to build datadrift_classifier is equal to: 0.6978632478632478\n"
     ]
    }
   ],
   "source": [
    "SD.compile(full_validation=True, # Optional: to save time, leave the default False value. If True, analyze consistency on modalities between columns.\n",
    "           date_compile_auc = '01/01/2010', # Optional: useful when computing the drift for a time that is not now\n",
    "           datadrift_file = \"house_price_auc.csv\" # Optional: name of the csv file that contains the performance history of data drift\n",
    "          )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "1ee11cf8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.plot.generate_historical_datadrift_metric() # works if date_compile_auc and/or datadrift_file are filled"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "dev_eurybia",
   "language": "python",
   "name": "dev_eurybia"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
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