bayesian_models.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LsLX5icRz7AU"
      },
      "source": [
        "# Bayesian Models"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PZXSJ1xzz7AV"
      },
      "source": [
        "### 1. Bayesian Model Introduction"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "##### 1.1 Student model example 1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "image/png": 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            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "execution_count": 1,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from IPython.display import Image\n",
        "\n",
        "Image(\"C:\\\\Users\\\\wodnj\\\\OneDrive\\\\바탕 화면\\\\Advanced Machine Learning\\\\DSC 540 - Week 8\\\\DSC 540 - Exercise 0801\\\\bayesian_model_images\\\\student_full_param2.png\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {},
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "c:\\Users\\wodnj\\AppData\\Local\\Programs\\Python\\Python39\\lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
            "  from .autonotebook import tqdm as notebook_tqdm\n"
          ]
        }
      ],
      "source": [
        "from pgmpy.models import BayesianNetwork\n",
        "from pgmpy.factors.discrete import TabularCPD\n",
        "\n",
        "# defining the model structure\n",
        "model = BayesianNetwork([('D', 'G'), ('I', 'G'), ('G', 'L'), ('I', 'S')])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3FvEItpKz7AZ",
        "outputId": "759a7e56-390c-409d-88c1-cc8bfc9ae8f4"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "+------+-----+\n",
            "| D(0) | 0.6 |\n",
            "+------+-----+\n",
            "| D(1) | 0.4 |\n",
            "+------+-----+\n",
            "+------+-----+\n",
            "| I(0) | 0.7 |\n",
            "+------+-----+\n",
            "| I(1) | 0.3 |\n",
            "+------+-----+\n"
          ]
        }
      ],
      "source": [
        "# defining individual CPDs\n",
        "cpd_d = TabularCPD(variable = 'D', variable_card = 2, values = [[0.6], [0.4]])\n",
        "print(cpd_d)\n",
        "\n",
        "cpd_i = TabularCPD(variable = 'I', variable_card = 2, values = [[0.7], [0.3]])\n",
        "print(cpd_i)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9cNjIQ0Gz7AZ",
        "outputId": "959ef245-1bc4-4f58-f7b2-f174c8cdad0d"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "+------+------+------+------+------+\n",
            "| I    | I(0) | I(0) | I(1) | I(1) |\n",
            "+------+------+------+------+------+\n",
            "| D    | D(0) | D(1) | D(0) | D(1) |\n",
            "+------+------+------+------+------+\n",
            "| G(0) | 0.3  | 0.05 | 0.9  | 0.5  |\n",
            "+------+------+------+------+------+\n",
            "| G(1) | 0.4  | 0.25 | 0.08 | 0.3  |\n",
            "+------+------+------+------+------+\n",
            "| G(2) | 0.3  | 0.7  | 0.02 | 0.2  |\n",
            "+------+------+------+------+------+\n",
            "+------+------+------+------+\n",
            "| G    | G(0) | G(1) | G(2) |\n",
            "+------+------+------+------+\n",
            "| L(0) | 0.1  | 0.4  | 0.99 |\n",
            "+------+------+------+------+\n",
            "| L(1) | 0.9  | 0.6  | 0.01 |\n",
            "+------+------+------+------+\n",
            "+------+------+------+\n",
            "| I    | I(0) | I(1) |\n",
            "+------+------+------+\n",
            "| S(0) | 0.95 | 0.2  |\n",
            "+------+------+------+\n",
            "| S(1) | 0.05 | 0.8  |\n",
            "+------+------+------+\n"
          ]
        }
      ],
      "source": [
        "# defining individual CPDs\n",
        "cpd_g = TabularCPD(variable = 'G', variable_card = 3,\n",
        "                   values = [[0.30, 0.05, 0.90, 0.50],\n",
        "                             [0.40, 0.25, 0.08, 0.30],\n",
        "                             [0.30, 0.70, 0.02, 0.20]],\n",
        "                   evidence = ['I', 'D'],\n",
        "                   evidence_card = [2, 2])\n",
        "print(cpd_g)\n",
        "\n",
        "cpd_l = TabularCPD(variable = 'L', variable_card = 2,\n",
        "                   values = [[0.10, 0.40, 0.99],\n",
        "                             [0.90, 0.60, 0.01]],\n",
        "                   evidence = ['G'],\n",
        "                   evidence_card = [3])\n",
        "print(cpd_l)\n",
        "\n",
        "cpd_s = TabularCPD(variable = 'S', variable_card = 2,\n",
        "                   values = [[0.95, 0.20],\n",
        "                             [0.05, 0.80]],\n",
        "                   evidence = ['I'],\n",
        "                   evidence_card = [2])\n",
        "print(cpd_s)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8kL4IvFb3i3b",
        "outputId": "47ede3be-1d85-41e8-bb79-0a2bce208127"
      },
      "outputs": [],
      "source": [
        "# associating the CPDs with the network\n",
        "model.add_cpds(cpd_d, cpd_i, cpd_g, cpd_l, cpd_s)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "execution_count": 6,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# defined and sum to 1\n",
        "model.check_model()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "text/plain": [
              "[<TabularCPD representing P(D:2) at 0x2181dcb6f10>,\n",
              " <TabularCPD representing P(I:2) at 0x2181dcb68e0>,\n",
              " <TabularCPD representing P(G:3 | I:2, D:2) at 0x21845d98430>,\n",
              " <TabularCPD representing P(L:2 | G:3) at 0x21845d98400>,\n",
              " <TabularCPD representing P(S:2 | I:2) at 0x21845d98310>]"
            ]
          },
          "execution_count": 7,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "model.get_cpds()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "text/plain": [
              "NodeView(('D', 'G', 'I', 'L', 'S'))"
            ]
          },
          "execution_count": 8,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "model.nodes()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "text/plain": [
              "OutEdgeView([('D', 'G'), ('G', 'L'), ('I', 'G'), ('I', 'S')])"
            ]
          },
          "execution_count": 9,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "model.edges()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "+------+------+------+------+------+\n",
            "| I    | I(0) | I(0) | I(1) | I(1) |\n",
            "+------+------+------+------+------+\n",
            "| D    | D(0) | D(1) | D(0) | D(1) |\n",
            "+------+------+------+------+------+\n",
            "| G(0) | 0.3  | 0.05 | 0.9  | 0.5  |\n",
            "+------+------+------+------+------+\n",
            "| G(1) | 0.4  | 0.25 | 0.08 | 0.3  |\n",
            "+------+------+------+------+------+\n",
            "| G(2) | 0.3  | 0.7  | 0.02 | 0.2  |\n",
            "+------+------+------+------+------+\n"
          ]
        }
      ],
      "source": [
        "print(model.get_cpds('G'))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "text/plain": [
              "defaultdict(int, {'D': 2, 'I': 2, 'G': 3, 'L': 2, 'S': 2})"
            ]
          },
          "execution_count": 11,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "model.get_cardinality()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "##### 1.2 Student model example 2"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {},
      "outputs": [],
      "source": [
        "# defining the model structure\n",
        "model = BayesianNetwork([('D', 'G'), ('I', 'G'), ('G', 'L'), ('I', 'S')])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TqDJ5WTKz7Ac",
        "outputId": "f44c2b46-4125-4318-81ea-d04369b15392"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "CPD for Difficulty:\n",
            " +---------+-----+\n",
            "| D(Easy) | 0.6 |\n",
            "+---------+-----+\n",
            "| D(Hard) | 0.4 |\n",
            "+---------+-----+\n",
            "\n",
            "CPD for Intelligence:\n",
            " +----------------+-----+\n",
            "| I(OK)          | 0.7 |\n",
            "+----------------+-----+\n",
            "| I(Intelligent) | 0.3 |\n",
            "+----------------+-----+\n",
            "\n",
            "CPD for Grade:\n",
            " +------+---------+---------+----------------+----------------+\n",
            "| I    | I(OK)   | I(OK)   | I(Intelligent) | I(Intelligent) |\n",
            "+------+---------+---------+----------------+----------------+\n",
            "| D    | D(Easy) | D(Hard) | D(Easy)        | D(Hard)        |\n",
            "+------+---------+---------+----------------+----------------+\n",
            "| G(A) | 0.3     | 0.05    | 0.9            | 0.5            |\n",
            "+------+---------+---------+----------------+----------------+\n",
            "| G(B) | 0.4     | 0.25    | 0.08           | 0.3            |\n",
            "+------+---------+---------+----------------+----------------+\n",
            "| G(C) | 0.3     | 0.7     | 0.02           | 0.2            |\n",
            "+------+---------+---------+----------------+----------------+\n",
            "\n",
            "CPD for Letter:\n",
            " +---------+------+------+------+\n",
            "| G       | G(A) | G(B) | G(C) |\n",
            "+---------+------+------+------+\n",
            "| L(Bad)  | 0.1  | 0.4  | 0.99 |\n",
            "+---------+------+------+------+\n",
            "| L(Good) | 0.9  | 0.6  | 0.01 |\n",
            "+---------+------+------+------+\n",
            "\n",
            "CPD for SAT Score:\n",
            " +---------+-------+----------------+\n",
            "| I       | I(OK) | I(Intelligent) |\n",
            "+---------+-------+----------------+\n",
            "| S(Bad)  | 0.95  | 0.2            |\n",
            "+---------+-------+----------------+\n",
            "| S(Good) | 0.05  | 0.8            |\n",
            "+---------+-------+----------------+\n"
          ]
        }
      ],
      "source": [
        "cpd_d_sn = TabularCPD(variable = 'D',\n",
        "                      variable_card = 2,\n",
        "                      values = [[0.6], [0.4]],\n",
        "                      state_names = {'D': ['Easy', 'Hard']})\n",
        "print('\\nCPD for Difficulty:\\n', cpd_d_sn)\n",
        "\n",
        "cpd_i_sn = TabularCPD(variable = 'I',\n",
        "                      variable_card = 2,\n",
        "                      values = [[0.7], [0.3]],\n",
        "                      state_names = {'I': ['OK', 'Intelligent']})\n",
        "print('\\nCPD for Intelligence:\\n', cpd_i_sn)\n",
        "\n",
        "cpd_g_sn = TabularCPD(variable = 'G',\n",
        "                      variable_card = 3,\n",
        "                      values = [[0.30, 0.05, 0.90,  0.50],\n",
        "                                [0.40, 0.25, 0.08, 0.30],\n",
        "                                [0.30, 0.70,  0.02, 0.20]],\n",
        "                      evidence = ['I', 'D'],\n",
        "                      evidence_card = [2, 2],\n",
        "                      state_names = {'G': ['A', 'B', 'C'],\n",
        "                                     'I': ['OK', 'Intelligent'],\n",
        "                                     'D': ['Easy', 'Hard']})\n",
        "print('\\nCPD for Grade:\\n', cpd_g_sn)\n",
        "\n",
        "cpd_l_sn = TabularCPD(variable = 'L',\n",
        "                      variable_card = 2,\n",
        "                      values = [[0.10, 0.40, 0.99],\n",
        "                                [0.90, 0.60, 0.01]],\n",
        "                      evidence = ['G'],\n",
        "                      evidence_card = [3],\n",
        "                      state_names = {'L': ['Bad', 'Good'],\n",
        "                                     'G': ['A', 'B', 'C']})\n",
        "print('\\nCPD for Letter:\\n', cpd_l_sn)\n",
        "\n",
        "cpd_s_sn = TabularCPD(variable = 'S',\n",
        "                      variable_card = 2,\n",
        "                      values = [[0.95, 0.20],\n",
        "                                [0.05, 0.80]],\n",
        "                      evidence = ['I'],\n",
        "                      evidence_card = [2],\n",
        "                      state_names = {'S': ['Bad', 'Good'],\n",
        "                                     'I': ['OK', 'Intelligent']})\n",
        "print('\\nCPD for SAT Score:\\n', cpd_s_sn)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {},
      "outputs": [],
      "source": [
        "# associating the CPDs with the network\n",
        "model.add_cpds(cpd_d_sn, cpd_i_sn, cpd_g_sn, cpd_l_sn, cpd_s_sn)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "execution_count": 15,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# defined and sum to 1\n",
        "model.check_model()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ILzh55ZKz7Ad",
        "outputId": "0949e64d-c180-4b2d-c7a0-b8e61f235337"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "[<TabularCPD representing P(D:2) at 0x2181dcb6cd0>,\n",
              " <TabularCPD representing P(I:2) at 0x2181dcb6d00>,\n",
              " <TabularCPD representing P(G:3 | I:2, D:2) at 0x2181dcb6070>,\n",
              " <TabularCPD representing P(L:2 | G:3) at 0x2181dcb68b0>,\n",
              " <TabularCPD representing P(S:2 | I:2) at 0x2181dcb6760>]"
            ]
          },
          "execution_count": 16,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "model.get_cpds()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BUPXa4K1z7Ad",
        "outputId": "60607b5d-dc60-4254-cdaf-aeea29466dce"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "NodeView(('D', 'G', 'I', 'L', 'S'))"
            ]
          },
          "execution_count": 17,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "model.nodes()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IwIx-x6fz7Ad",
        "outputId": "c677eab6-c9ca-4db8-c2d5-ed530dc16283"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "OutEdgeView([('D', 'G'), ('G', 'L'), ('I', 'G'), ('I', 'S')])"
            ]
          },
          "execution_count": 18,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "model.edges()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "35_y9hVxz7Ae",
        "outputId": "603ca302-ee12-4648-e823-eaed0901c555"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "+------+---------+---------+----------------+----------------+\n",
            "| I    | I(OK)   | I(OK)   | I(Intelligent) | I(Intelligent) |\n",
            "+------+---------+---------+----------------+----------------+\n",
            "| D    | D(Easy) | D(Hard) | D(Easy)        | D(Hard)        |\n",
            "+------+---------+---------+----------------+----------------+\n",
            "| G(A) | 0.3     | 0.05    | 0.9            | 0.5            |\n",
            "+------+---------+---------+----------------+----------------+\n",
            "| G(B) | 0.4     | 0.25    | 0.08           | 0.3            |\n",
            "+------+---------+---------+----------------+----------------+\n",
            "| G(C) | 0.3     | 0.7     | 0.02           | 0.2            |\n",
            "+------+---------+---------+----------------+----------------+\n"
          ]
        }
      ],
      "source": [
        "print(cpd_g_sn)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "D_8d-RP6z7Ae",
        "outputId": "1f4895f7-198a-4c90-d18f-1859e7376249"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "defaultdict(int, {'D': 2, 'I': 2, 'G': 3, 'L': 2, 'S': 2})"
            ]
          },
          "execution_count": 20,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "model.get_cardinality()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wfvvRgoxz7Ae"
      },
      "source": [
        "### 2. Independencies in Bayesian Networks"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "image/png": 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            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "execution_count": 21,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "Image(\"C:\\\\Users\\\\wodnj\\\\OneDrive\\\\바탕 화면\\\\Advanced Machine Learning\\\\DSC 540 - Week 8\\\\DSC 540 - Exercise 0801\\\\bayesian_model_images\\\\two_nodes.png\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "id": "ccGKeVx8z7Af",
        "outputId": "acaab763-3fd3-474c-b814-6c68d360b58e"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "execution_count": 22,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "Image(\"C:\\\\Users\\\\wodnj\\\\OneDrive\\\\바탕 화면\\\\Advanced Machine Learning\\\\DSC 540 - Week 8\\\\DSC 540 - Exercise 0801\\\\bayesian_model_images\\\\three_nodes.png\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HM2fp3sCz7Af",
        "outputId": "e5a93395-9bb7-4f3e-bbf2-6ebb1ecf92c5"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(D ⟂ S, I)\n",
              "(I ⟂ D)\n",
              "(S ⟂ G, D, L | I)\n",
              "(G ⟂ S | D, I)\n",
              "(L ⟂ D, S, I | G)"
            ]
          },
          "execution_count": 23,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# getting all the local independencies in the network\n",
        "model.local_independencies(['D', 'I', 'S', 'G', 'L'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SsG4Bn3cz7Ag",
        "outputId": "b5b50453-78c5-494c-cfeb-f901f753daaf"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(D ⟂ S, I)\n",
              "(D ⟂ L | G)\n",
              "(D ⟂ I | S)\n",
              "(D ⟂ S | I)\n",
              "(D ⟂ L | G, S)\n",
              "(D ⟂ L, S | G, I)\n",
              "(D ⟂ S | L, I)\n",
              "(D ⟂ S | G, L, I)\n",
              "(D ⟂ L | G, S, I)\n",
              "(G ⟂ S | I)\n",
              "(G ⟂ S | D, I)\n",
              "(G ⟂ S | L, I)\n",
              "(G ⟂ S | D, L, I)\n",
              "(L ⟂ D, S, I | G)\n",
              "(L ⟂ S | I)\n",
              "(L ⟂ S, I | G, D)\n",
              "(L ⟂ D, I | G, S)\n",
              "(L ⟂ D, S | G, I)\n",
              "(L ⟂ S | D, I)\n",
              "(L ⟂ I | G, D, S)\n",
              "(L ⟂ S | G, D, I)\n",
              "(L ⟂ D | G, S, I)\n",
              "(S ⟂ D)\n",
              "(S ⟂ L | G)\n",
              "(S ⟂ G, D, L | I)\n",
              "(S ⟂ L | G, D)\n",
              "(S ⟂ D, L | G, I)\n",
              "(S ⟂ G, L | D, I)\n",
              "(S ⟂ G, D | L, I)\n",
              "(S ⟂ L | G, D, I)\n",
              "(S ⟂ D | G, L, I)\n",
              "(S ⟂ G | D, L, I)\n",
              "(I ⟂ D)\n",
              "(I ⟂ L | G)\n",
              "(I ⟂ D | S)\n",
              "(I ⟂ L | G, D)\n",
              "(I ⟂ L | G, S)\n",
              "(I ⟂ L | G, D, S)"
            ]
          },
          "execution_count": 24,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "model.get_independencies()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OBNvSQkFz7Ag",
        "outputId": "c3339f91-68f0-4833-a9d6-66102efefebd"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "{'D': {'D', 'G', 'L'}}"
            ]
          },
          "execution_count": 25,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# getting active trail\n",
        "model.active_trail_nodes('D')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jJSkaUt1z7Ag",
        "outputId": "175b4eaa-ec13-43ef-dd96-dd54d682b77d"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "{'D': {'D', 'I', 'S'}}"
            ]
          },
          "execution_count": 26,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "model.active_trail_nodes('D', observed = 'G')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "foZZ1kPbz7Ak"
      },
      "source": [
        "### 3. Inference in Bayesian Models with Variable Elimination"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "id": "2oH8JJ_tz7Al"
      },
      "outputs": [],
      "source": [
        "from pgmpy.inference import VariableElimination\n",
        "\n",
        "infer = VariableElimination(model)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kgSQ1Yaez7Al",
        "outputId": "15f6b4df-914c-49ea-c30e-930183a2fd49"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "+------+----------+\n",
            "| G    |   phi(G) |\n",
            "+======+==========+\n",
            "| G(A) |   0.3620 |\n",
            "+------+----------+\n",
            "| G(B) |   0.2884 |\n",
            "+------+----------+\n",
            "| G(C) |   0.3496 |\n",
            "+------+----------+\n"
          ]
        }
      ],
      "source": [
        "g_dist = infer.query(['G'], show_progress = True)\n",
        "print(g_dist)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IlYaQ6uIz7Al",
        "outputId": "7887751a-2277-4bb7-c79b-de138191131f"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "+------+----------+\n",
            "| G    |   phi(G) |\n",
            "+======+==========+\n",
            "| G(A) |   0.9000 |\n",
            "+------+----------+\n",
            "| G(B) |   0.0800 |\n",
            "+------+----------+\n",
            "| G(C) |   0.0200 |\n",
            "+------+----------+\n"
          ]
        }
      ],
      "source": [
        "print(infer.query(['G'], evidence = {'D': 'Easy', 'I': 'Intelligent'}))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "##### 3.1 Way the difficulty of the class impact the intelligence of the student"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Sr33VEux9Z3L",
        "outputId": "6c89aae5-7101-472e-8d37-12d6af0ebbc7"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "+----------------+----------+\n",
            "| I              |   phi(I) |\n",
            "+================+==========+\n",
            "| I(OK)          |   0.7000 |\n",
            "+----------------+----------+\n",
            "| I(Intelligent) |   0.3000 |\n",
            "+----------------+----------+\n"
          ]
        }
      ],
      "source": [
        "print(infer.query(['I']))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 31,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UvZ-0KxV9ObZ",
        "outputId": "7adc3e7f-f656-4658-8d1b-fd3babecaa5b"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "+----------------+----------+\n",
            "| I              |   phi(I) |\n",
            "+================+==========+\n",
            "| I(OK)          |   0.7000 |\n",
            "+----------------+----------+\n",
            "| I(Intelligent) |   0.3000 |\n",
            "+----------------+----------+\n"
          ]
        }
      ],
      "source": [
        "print(infer.query(['I'], evidence = {'D': 'Easy'}))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 32,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Pja8wBWK9kFR",
        "outputId": "a4429ff3-a175-485f-c6f9-18d0747bca55"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "+----------------+----------+\n",
            "| I              |   phi(I) |\n",
            "+================+==========+\n",
            "| I(OK)          |   0.7000 |\n",
            "+----------------+----------+\n",
            "| I(Intelligent) |   0.3000 |\n",
            "+----------------+----------+\n"
          ]
        }
      ],
      "source": [
        "print(infer.query(['I'], evidence = {'D': 'Hard'}))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "##### 3.2 Way the difficulty of the class impact the intelligence of the student when the grade is given"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 33,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "b78ebAEi-OoK",
        "outputId": "81d8cdc7-a2a1-4fb6-d1e5-0a4d4671de51"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "+----------------+----------+\n",
            "| I              |   phi(I) |\n",
            "+================+==========+\n",
            "| I(OK)          |   0.3867 |\n",
            "+----------------+----------+\n",
            "| I(Intelligent) |   0.6133 |\n",
            "+----------------+----------+\n"
          ]
        }
      ],
      "source": [
        "print(infer.query(['I'], evidence = {'G': 'A'}))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 34,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Bs0iM7mZ-XVn",
        "outputId": "5f696d91-8318-44f0-de57-5a2a91e6b3d3"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "+----------------+----------+\n",
            "| I              |   phi(I) |\n",
            "+================+==========+\n",
            "| I(OK)          |   0.4375 |\n",
            "+----------------+----------+\n",
            "| I(Intelligent) |   0.5625 |\n",
            "+----------------+----------+\n"
          ]
        }
      ],
      "source": [
        "print(infer.query(['I'], evidence = {'G': 'A', 'D': 'Easy'}))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 35,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ip5Zmz-E-gz3",
        "outputId": "e638a972-5a2e-4937-e1c5-870c3473ebc9"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "+----------------+----------+\n",
            "| I              |   phi(I) |\n",
            "+================+==========+\n",
            "| I(OK)          |   0.1892 |\n",
            "+----------------+----------+\n",
            "| I(Intelligent) |   0.8108 |\n",
            "+----------------+----------+\n"
          ]
        }
      ],
      "source": [
        "print(infer.query(['I'], evidence = {'G': 'A', 'D': 'Hard'}))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 36,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gaXMgLMp_K-q",
        "outputId": "b511363e-5a68-477e-8b97-01d349660dcb"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "+----------------+----------+\n",
            "| I              |   phi(I) |\n",
            "+================+==========+\n",
            "| I(OK)          |   0.9211 |\n",
            "+----------------+----------+\n",
            "| I(Intelligent) |   0.0789 |\n",
            "+----------------+----------+\n"
          ]
        }
      ],
      "source": [
        "print(infer.query(['I'], evidence = {'G': 'C'}))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 37,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MiEw8nrB_P30",
        "outputId": "e2e167b8-7ee7-4cb6-d200-82b27e5a98c7"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "+----------------+----------+\n",
            "| I              |   phi(I) |\n",
            "+================+==========+\n",
            "| I(OK)          |   0.9722 |\n",
            "+----------------+----------+\n",
            "| I(Intelligent) |   0.0278 |\n",
            "+----------------+----------+\n"
          ]
        }
      ],
      "source": [
        "print(infer.query(['I'], evidence = {'G': 'C', 'D': 'Easy'}))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 38,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bexj2neH_X8R",
        "outputId": "3e312c37-f85d-4797-edaa-f546d664cedd"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "+----------------+----------+\n",
            "| I              |   phi(I) |\n",
            "+================+==========+\n",
            "| I(OK)          |   0.8909 |\n",
            "+----------------+----------+\n",
            "| I(Intelligent) |   0.1091 |\n",
            "+----------------+----------+\n"
          ]
        }
      ],
      "source": [
        "print(infer.query(['I'], evidence = {'G': 'C', 'D': 'Hard'}))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "##### 3.3 Way the intelligence of the student impact the class difficulty when the grade is given"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 39,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Vsk_wYLW_8zY",
        "outputId": "a9f10f19-ec96-47e6-b831-6b6c00da3047"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "+---------+----------+\n",
            "| D       |   phi(D) |\n",
            "+=========+==========+\n",
            "| D(Easy) |   0.6000 |\n",
            "+---------+----------+\n",
            "| D(Hard) |   0.4000 |\n",
            "+---------+----------+\n"
          ]
        }
      ],
      "source": [
        "print(infer.query(['D']))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 40,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5DbPkEPU_1mB",
        "outputId": "aa6720f9-e55f-40a9-c17f-7f99fce09fea"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "+---------+----------+\n",
            "| D       |   phi(D) |\n",
            "+=========+==========+\n",
            "| D(Easy) |   0.7956 |\n",
            "+---------+----------+\n",
            "| D(Hard) |   0.2044 |\n",
            "+---------+----------+\n"
          ]
        }
      ],
      "source": [
        "print(infer.query(['D'], evidence = {'G': 'A'}))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 41,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XmQR1y77_6qU",
        "outputId": "96684b68-b045-49bb-f992-0737d69a69af"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "+---------+----------+\n",
            "| D       |   phi(D) |\n",
            "+=========+==========+\n",
            "| D(Easy) |   0.7297 |\n",
            "+---------+----------+\n",
            "| D(Hard) |   0.2703 |\n",
            "+---------+----------+\n"
          ]
        }
      ],
      "source": [
        "print(infer.query(['D'], evidence = {'G': 'A', 'I': 'Intelligent'}))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 42,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OI5BWCanAH4S",
        "outputId": "24697079-16e7-41cf-916f-50f650a61518"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "+---------+----------+\n",
            "| D       |   phi(D) |\n",
            "+=========+==========+\n",
            "| D(Easy) |   0.9000 |\n",
            "+---------+----------+\n",
            "| D(Hard) |   0.1000 |\n",
            "+---------+----------+\n"
          ]
        }
      ],
      "source": [
        "print(infer.query(['D'], evidence = {'G': 'A', 'I': 'OK'}))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "##### 3.4 Way the grade impact the SAT score"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 43,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "R9CSufxcz7Al",
        "outputId": "e4e2c41e-2960-4d76-f443-dff0ac89241a"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "+---------+----------+\n",
            "| S       |   phi(S) |\n",
            "+=========+==========+\n",
            "| S(Bad)  |   0.7250 |\n",
            "+---------+----------+\n",
            "| S(Good) |   0.2750 |\n",
            "+---------+----------+\n"
          ]
        }
      ],
      "source": [
        "print(infer.query(['S']))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 44,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TRymp6Tlz7Am",
        "outputId": "862120e0-b64c-40b3-872e-31a0aaf61a63"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "+---------+----------+\n",
            "| S       |   phi(S) |\n",
            "+=========+==========+\n",
            "| S(Bad)  |   0.8908 |\n",
            "+---------+----------+\n",
            "| S(Good) |   0.1092 |\n",
            "+---------+----------+\n"
          ]
        }
      ],
      "source": [
        "print(infer.query(['S'], evidence = {'G': 'C'}))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 45,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ak83YvJUz7Am",
        "outputId": "d4e459f2-240c-40b6-a9fe-d579f4c39568"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "+---------+----------+\n",
            "| S       |   phi(S) |\n",
            "+=========+==========+\n",
            "| S(Bad)  |   0.8189 |\n",
            "+---------+----------+\n",
            "| S(Good) |   0.1811 |\n",
            "+---------+----------+\n"
          ]
        }
      ],
      "source": [
        "print(infer.query(['S'], evidence = {'G': 'B'}))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 46,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IxSGluuhz7Am",
        "outputId": "d3ab9a8c-36e8-450a-f729-bd2feef9383b"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "+---------+----------+\n",
            "| S       |   phi(S) |\n",
            "+=========+==========+\n",
            "| S(Bad)  |   0.4901 |\n",
            "+---------+----------+\n",
            "| S(Good) |   0.5099 |\n",
            "+---------+----------+\n"
          ]
        }
      ],
      "source": [
        "print(infer.query(['S'], evidence = {'G': 'A'}))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "##### 3.5 Way the grade impact the SAT score when the intelligence is given"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 47,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wzem1aIKz7Am",
        "outputId": "10519431-b2bd-4a95-ce40-f4c2ff1f9bee"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "+---------+----------+\n",
            "| S       |   phi(S) |\n",
            "+=========+==========+\n",
            "| S(Bad)  |   0.2000 |\n",
            "+---------+----------+\n",
            "| S(Good) |   0.8000 |\n",
            "+---------+----------+\n"
          ]
        }
      ],
      "source": [
        "print(infer.query(['S'], evidence = {'I': 'Intelligent'}))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 48,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zpAGbWzOOROG",
        "outputId": "03a7f0f8-1338-4869-fc67-1ff4c3edbb5d"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "+---------+----------+\n",
            "| S       |   phi(S) |\n",
            "+=========+==========+\n",
            "| S(Bad)  |   0.2000 |\n",
            "+---------+----------+\n",
            "| S(Good) |   0.8000 |\n",
            "+---------+----------+\n"
          ]
        }
      ],
      "source": [
        "print(infer.query(['S'], evidence = {'I': 'Intelligent', 'G': 'B'}))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 49,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wQSezuQqz7Am",
        "outputId": "63b84482-d89c-41eb-9309-2242d82a65e6"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "+---------+----------+\n",
            "| S       |   phi(S) |\n",
            "+=========+==========+\n",
            "| S(Bad)  |   0.2000 |\n",
            "+---------+----------+\n",
            "| S(Good) |   0.8000 |\n",
            "+---------+----------+\n"
          ]
        }
      ],
      "source": [
        "print(infer.query(['S'], evidence = {'I': 'Intelligent', 'G': 'A'}))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### 4. Predicting Values from New Data Points"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 50,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 98,
          "referenced_widgets": [
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            "facc803f038b472697b77340d99918af",
            "3b612ebb10c7460780492fa1ff687d24",
            "b17a4251cabb4b959e5e34d4d64521f3",
            "9d01106c6a564886b880fb96f1e18f27",
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            "774ab1e87eab4ef39ed26285bca8ddc0",
            "8e08143ce0b541199f05ee986b2078cc",
            "e373832f92ce4e09a1e7ede658cdbb5f"
          ]
        },
        "id": "vTZdeZYfz7An",
        "outputId": "30c9c8c9-74c5-4758-eed9-7ff2fde02903"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "Finding Elimination Order: : 100%|██████████| 2/2 [00:00<00:00, 443.87it/s]\n",
            "Eliminating: I: 100%|██████████| 2/2 [00:00<00:00, 400.79it/s]\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "{'G': 'A'}"
            ]
          },
          "execution_count": 50,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "infer.map_query(['G'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 51,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 98,
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        },
        "id": "589fSqk6z7An",
        "outputId": "7f0d5c98-93c5-4fcf-ef56-abd871061265"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "Finding Elimination Order: : : 0it [00:00, ?it/s]\n",
            "0it [00:00, ?it/s]\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "{'G': 'A'}"
            ]
          },
          "execution_count": 51,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "infer.map_query(['G'], evidence = {'D': 'Easy', 'I': 'Intelligent'})"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 52,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 98,
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        },
        "id": "evbUPl1vz7Ao",
        "outputId": "8b7a55a1-1688-4794-b6d4-b59d82f7a416"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "Finding Elimination Order: : : 0it [00:00, ?it/s]\n",
            "0it [00:00, ?it/s]\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "{'G': 'C'}"
            ]
          },
          "execution_count": 52,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "infer.map_query(['G'], evidence = {'D': 'Hard', 'I': 'Intelligent', 'L': 'Bad', 'S': 'Good'})"
      ]
    }
  ],
  "metadata": {
    "celltoolbar": "Raw Cell Format",
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "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": "3.9.11"
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