data_drift_detection.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyNXY748Nlosajns4srQVMcE",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/JosueAfouda/TUTORIALS/blob/main/data_drift_detection.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# <center>**Détection de la dérive des données**"
      ],
      "metadata": {
        "id": "PYNevgZ2wmc3"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Dérive des données** : Elle se produit lorsqu'il y a un changement dans les propriétés statistiques des variables utilisées comme caractéristiques. Par exemple, si l'âge est une caractéristique utilisée dans le modèle, mais que seules des données pour les 16-24 ans sont disponibles pendant l'entraînement, et que le système commence ensuite à ingérer des données pour un groupe d'âge plus large, une dérive des données se produit."
      ],
      "metadata": {
        "id": "zX-UgGcW4DYq"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "s4GVF6AjvBar"
      },
      "outputs": [],
      "source": [
        "#pip install alibi"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#pip install alibi-detect"
      ],
      "metadata": {
        "id": "Q0SU-c7_xPuW"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.datasets import load_wine\n",
        "from sklearn.model_selection import train_test_split\n",
        "import alibi\n",
        "from alibi_detect.cd import TabularDrift\n",
        "\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt"
      ],
      "metadata": {
        "id": "wpjkYn5pyuXC"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Importation des données\n",
        "wine_data = load_wine()\n",
        "X, y = wine_data.data, wine_data.target"
      ],
      "metadata": {
        "id": "ev6ihb-ezA_8"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ic5qwmG_zS22",
        "outputId": "8c332534-0bc1-40ce-8413-bf25a8fae781"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[1.423e+01, 1.710e+00, 2.430e+00, ..., 1.040e+00, 3.920e+00,\n",
              "        1.065e+03],\n",
              "       [1.320e+01, 1.780e+00, 2.140e+00, ..., 1.050e+00, 3.400e+00,\n",
              "        1.050e+03],\n",
              "       [1.316e+01, 2.360e+00, 2.670e+00, ..., 1.030e+00, 3.170e+00,\n",
              "        1.185e+03],\n",
              "       ...,\n",
              "       [1.327e+01, 4.280e+00, 2.260e+00, ..., 5.900e-01, 1.560e+00,\n",
              "        8.350e+02],\n",
              "       [1.317e+01, 2.590e+00, 2.370e+00, ..., 6.000e-01, 1.620e+00,\n",
              "        8.400e+02],\n",
              "       [1.413e+01, 4.100e+00, 2.740e+00, ..., 6.100e-01, 1.600e+00,\n",
              "        5.600e+02]])"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yCFRriNXzTlM",
        "outputId": "01eab49e-c39d-4757-d2d8-5de7a31e0562"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
              "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
              "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1,\n",
              "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
              "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
              "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2,\n",
              "       2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
              "       2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
              "       2, 2])"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "X.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_pVPd78hzUzk",
        "outputId": "4c6c043e-c26f-4680-b395-363f3da9c70a"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(178, 13)"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "S2vgenCmzXB5",
        "outputId": "92b2cec9-3920-42ec-f57d-17594b061df5"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(178,)"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "wine_data.feature_names"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "iaCJ23lT0kd0",
        "outputId": "3d3b9c4c-20d3-4596-8468-603b9152ddb0"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['alcohol',\n",
              " 'malic_acid',\n",
              " 'ash',\n",
              " 'alcalinity_of_ash',\n",
              " 'magnesium',\n",
              " 'total_phenols',\n",
              " 'flavanoids',\n",
              " 'nonflavanoid_phenols',\n",
              " 'proanthocyanins',\n",
              " 'color_intensity',\n",
              " 'hue',\n",
              " 'od280/od315_of_diluted_wines',\n",
              " 'proline']"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Données d'entrainement et de test\n",
        "X_train, X_test, y_train, y_test = train_test_split(\n",
        "    X, y, test_size = 0.25, random_state = 42\n",
        ")\n",
        "print(X_train.shape, y_train.shape, X_test.shape, y_test.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OpGuXWQEzYvX",
        "outputId": "d642e3cd-572a-4617-d246-10ecbf85605b"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(133, 13) (133,) (45, 13) (45,)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Visualisation des données"
      ],
      "metadata": {
        "id": "H7uMz0Ds4O8H"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Nombre de colonnes dans X_ref et X_test\n",
        "X_ref = X_train\n",
        "num_cols = X_ref.shape[1]\n",
        "\n",
        "# Créer une figure avec deux sous-graphiques côte à côte\n",
        "fig, axs = plt.subplots(num_cols, 2, figsize=(15, 6*num_cols))\n",
        "\n",
        "# Tracer l'histogramme de chaque colonne pour X_ref\n",
        "for i in range(num_cols):\n",
        "    axs[i, 0].hist(X_ref[:, i], bins=20)\n",
        "    axs[i, 0].set_title('X_ref - Colonne {}'.format(i))\n",
        "    axs[i, 0].set_xlabel('Valeurs')\n",
        "    axs[i, 0].set_ylabel('Fréquence')\n",
        "\n",
        "# Tracer l'histogramme de chaque colonne pour X_test\n",
        "for i in range(num_cols):\n",
        "    axs[i, 1].hist(X_test[:, i], bins=20)\n",
        "    axs[i, 1].set_title('X_test - Colonne {}'.format(i))\n",
        "    axs[i, 1].set_xlabel('Valeurs')\n",
        "    axs[i, 1].set_ylabel('Fréquence')\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "tNttACGQzs2g",
        "outputId": "348e92b9-e539-4708-dfa5-25bdf1d7a0da"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x7800 with 26 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Est-ce qu'il y a une dérive dans les données de test ?"
      ],
      "metadata": {
        "id": "mnhIjjpO4TjO"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "cd  = TabularDrift(X_ref, p_val = 0.05)\n",
        "cd"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tmaOQ2GA0bz_",
        "outputId": "6bced5aa-3654-4267-fe88-5f6c60cc283e"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/alibi_detect/cd/tabular.py:113: UserWarning: No `categories_per_feature` dict provided so all features are assumed to be numerical. `KSDrift` will be applied to all features.\n",
            "  warnings.warn('No `categories_per_feature` dict provided so all features are assumed to be numerical. '\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "TabularDrift"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "La ligne de code `cd = TabularDrift(X_ref, p_val=.05 )` crée une instance de la classe `TabularDrift` pour détecter la dérive dans les données tabulaires. Explorons cette ligne en détail et l'impact du choix de la valeur p (p-value) sur le résultat :\n",
        "\n",
        "- `cd`: C'est le nom de la variable qui stockera l'instance de la classe `TabularDrift`. Cette instance sera utilisée pour détecter la dérive dans les données.\n",
        "\n",
        "- `TabularDrift`: C'est la classe utilisée pour détecter la dérive dans les données tabulaires. Elle fait partie du module `alibi_detect.cd` de la bibliothèque `alibi_detect`.\n",
        "\n",
        "- `X_ref`: C'est l'ensemble de référence de données utilisé pour détecter la dérive. Ces données serviront de point de comparaison pour les données de test afin de déterminer s'il y a eu un changement significatif.\n",
        "\n",
        "- `p_val`: Il s'agit du seuil de signification utilisé pour tester si la dérive détectée est statistiquement significative. La valeur p est un nombre compris entre 0 et 1, où une valeur plus faible indique un seuil de signification plus strict. Dans cet exemple, la valeur p est fixée à 0.05, ce qui est une valeur couramment utilisée dans la pratique pour les tests de signification. Cela signifie que si la valeur p calculée lors de la détection de dérive est inférieure à 0.05, la dérive est considérée comme statistiquement significative.\n",
        "\n",
        "L'impact du choix de la valeur p sur le résultat est important car cela détermine la sensibilité de la détection de dérive. Une valeur p plus faible rend la détection de dérive plus stricte, ce qui signifie qu'elle nécessite des preuves statistiques plus solides pour conclure qu'une dérive est présente. En revanche, une valeur p plus élevée rend la détection de dérive moins stricte, ce qui peut conduire à une détection de dérive même dans des cas où la différence observée entre les données de référence et les données de test n'est pas statistiquement significative.\n",
        "\n",
        "En résumé, le choix de la valeur p dans la détection de dérive contrôle le niveau de risque de fausses détections de dérive (erreurs de type I) et de fausses non-détections de dérive (erreurs de type II). Une valeur p appropriée doit être choisie en fonction des exigences de l'application et du contexte spécifique de l'analyse des données."
      ],
      "metadata": {
        "id": "OM6dj51-4sqy"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "type(cd)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OyRBUsyI1Uk3",
        "outputId": "15da9402-ed1f-4a94-ae31-3362a0ba274c"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "alibi_detect.cd.tabular.TabularDrift"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "preds = cd.predict(X_test)\n",
        "preds"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rkyJWO3i1V_P",
        "outputId": "2fb5ba95-56f0-4bb3-9bbd-c952552ad92b"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'data': {'is_drift': 0,\n",
              "  'distance': array([0.17276524, 0.1829574 , 0.11361738, 0.08705096, 0.1390142 ,\n",
              "         0.16123642, 0.05864662, 0.07067669, 0.08487886, 0.07318296,\n",
              "         0.05680869, 0.11345029, 0.07084378], dtype=float32),\n",
              "  'p_val': array([0.23365112, 0.18112348, 0.7300993 , 0.93911326, 0.48439223,\n",
              "         0.3058979 , 0.9993302 , 0.9911801 , 0.9497265 , 0.9870494 ,\n",
              "         0.9996109 , 0.73171264, 0.9909397 ], dtype=float32),\n",
              "  'threshold': 0.0038461538461538464},\n",
              " 'meta': {'name': 'TabularDrift',\n",
              "  'online': False,\n",
              "  'data_type': None,\n",
              "  'version': '0.11.5',\n",
              "  'detector_type': 'drift'}}"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "```python\n",
        "preds = cd.predict(X_test)\n",
        "```\n",
        "   - Cette ligne utilise l'instance `cd` pour prédire si une dérive est présente dans les données de test `X_test`. Les prédictions sont stockées dans la variable `preds`.\n",
        "\n",
        "   - Si `is_drift` est égal à 0, cela signifie qu'aucune dérive n'a été détectée, et si c'est égal à 1, cela signifie qu'une dérive a été détectée."
      ],
      "metadata": {
        "id": "Eqc5hbrQ42Ng"
      }
    }
  ]
}