example.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sklearn.datasets import load_iris\n",
    "\n",
    "# Load dataset\n",
    "data = load_iris(as_frame=True)\n",
    "X = data.data\n",
    "y = pd.Series(np.array(data.target_names)[data.target])\n",
    "y.name = \"Class\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-4 {color: black;}#sk-container-id-4 pre{padding: 0;}#sk-container-id-4 div.sk-toggleable {background-color: white;}#sk-container-id-4 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-4 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-4 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-4 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-4 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-4 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-4 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-4 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-4 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 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-4 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-4 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-4 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-4 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 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-4 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-4 div.sk-item {position: relative;z-index: 1;}#sk-container-id-4 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-4 div.sk-item::before, #sk-container-id-4 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-4 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-4 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-4 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-4 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-4 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-4 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-4 div.sk-label-container {text-align: center;}#sk-container-id-4 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-4 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-4\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestClassifier(random_state=4)</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\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-4\" type=\"checkbox\" checked><label for=\"sk-estimator-id-4\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier(random_state=4)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "RandomForestClassifier(random_state=4)"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "\n",
    "# Train complex model\n",
    "clf = RandomForestClassifier(random_state=4)\n",
    "clf.fit(X, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from lemon import LemonExplainer\n",
    "\n",
    "# Instantiate explainer\n",
    "explainer = LemonExplainer(X, random_state=4)\n",
    "\n",
    "\n",
    "# Choose and explain prediction for an instance\n",
    "instance = X.iloc[-1, :]\n",
    "exp = explainer.explain_instance(instance, clf.predict_proba)[0]\n",
    "exp.show_in_notebook()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.5"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}