rbf_nn_regressor.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "view-in-github"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/kpetridis24/computational-intelligence/blob/main/rbf_nn_regressor.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Od2JsLnL_hAX"
      },
      "source": [
        "## Regression with RBF Neural Network"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "b4gB6wlj1pCp"
      },
      "source": [
        "### RBF NN Regressor"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XNdehJbNpiBB"
      },
      "source": [
        "Install custom RBF layer repository and tex-related packages for plotting"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "id": "qp53wCRC-Lhx"
      },
      "outputs": [],
      "source": [
        "# !git clone https://github.com/kpetridis24/rbf_keras.git \n",
        "# %pip install -q -U keras-tuner\n",
        "# %pip install --upgrade pip\n",
        "# %pip install tensorflow\n",
        "# %pip install cm-super \n",
        "# %pip install latex \n",
        "# %pip install texlive texlive-latex-extra texlive-fonts-recommended dvipng \n",
        "# %pip install seaborn\n",
        "# %pip install matplotlib\n",
        "# %pip install sklearn\n",
        "# %pip install numpy"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lsiLynR14o7j"
      },
      "source": [
        "**!ATTENTION!** An identation error might occur when cloning the RBF library. To tackle it:\n",
        "- Go inside the **rbf_keras/rbflayer.py** file and apply proper identation in lines **20-27** (Just select them and press a tab)."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FBBQR4_wvWvc"
      },
      "source": [
        "Import useful modules"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "id": "U-dgtTze_6WH"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "from sklearn import datasets\n",
        "from sklearn import preprocessing\n",
        "from sklearn.model_selection import KFold\n",
        "import tensorflow as tf\n",
        "from tensorflow import keras\n",
        "import numpy as np\n",
        "import seaborn as sn\n",
        "import matplotlib.pyplot as plt\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.pipeline import Pipeline\n",
        "from rbf_keras import kmeans_initializer\n",
        "from rbf_keras import rbflayer\n",
        "import keras_tuner as kt"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "v2KVr7q_vaCe"
      },
      "source": [
        "Load the boston dataset"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "id": "W21EOSK1A3OY"
      },
      "outputs": [],
      "source": [
        "data_url = \"http://lib.stat.cmu.edu/datasets/boston\"\n",
        "raw_df = pd.read_csv(data_url, sep=\"\\s+\", skiprows=22, header=None)\n",
        "data = np.hstack([raw_df.values[::2, :], raw_df.values[1::2, :2]])\n",
        "target = raw_df.values[1::2, 2]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QQ-eAMJWvdWu"
      },
      "source": [
        "Take a peek at the dataset"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "uF9MWyX7Bo5z",
        "outputId": "0efd408c-1c80-41a8-ccda-7aa8925406a4"
      },
      "outputs": [
        {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>0</th>\n",
              "      <th>1</th>\n",
              "      <th>2</th>\n",
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              "      <th>5</th>\n",
              "      <th>6</th>\n",
              "      <th>7</th>\n",
              "      <th>8</th>\n",
              "      <th>9</th>\n",
              "      <th>10</th>\n",
              "      <th>11</th>\n",
              "      <th>12</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.00632</td>\n",
              "      <td>18.0</td>\n",
              "      <td>2.31</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.538</td>\n",
              "      <td>6.575</td>\n",
              "      <td>65.2</td>\n",
              "      <td>4.0900</td>\n",
              "      <td>1.0</td>\n",
              "      <td>296.0</td>\n",
              "      <td>15.3</td>\n",
              "      <td>396.90</td>\n",
              "      <td>4.98</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.02731</td>\n",
              "      <td>0.0</td>\n",
              "      <td>7.07</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.469</td>\n",
              "      <td>6.421</td>\n",
              "      <td>78.9</td>\n",
              "      <td>4.9671</td>\n",
              "      <td>2.0</td>\n",
              "      <td>242.0</td>\n",
              "      <td>17.8</td>\n",
              "      <td>396.90</td>\n",
              "      <td>9.14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.02729</td>\n",
              "      <td>0.0</td>\n",
              "      <td>7.07</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.469</td>\n",
              "      <td>7.185</td>\n",
              "      <td>61.1</td>\n",
              "      <td>4.9671</td>\n",
              "      <td>2.0</td>\n",
              "      <td>242.0</td>\n",
              "      <td>17.8</td>\n",
              "      <td>392.83</td>\n",
              "      <td>4.03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.03237</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.18</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.458</td>\n",
              "      <td>6.998</td>\n",
              "      <td>45.8</td>\n",
              "      <td>6.0622</td>\n",
              "      <td>3.0</td>\n",
              "      <td>222.0</td>\n",
              "      <td>18.7</td>\n",
              "      <td>394.63</td>\n",
              "      <td>2.94</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.06905</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.18</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.458</td>\n",
              "      <td>7.147</td>\n",
              "      <td>54.2</td>\n",
              "      <td>6.0622</td>\n",
              "      <td>3.0</td>\n",
              "      <td>222.0</td>\n",
              "      <td>18.7</td>\n",
              "      <td>396.90</td>\n",
              "      <td>5.33</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        0     1     2    3      4      5     6       7    8      9     10  \\\n",
              "0  0.00632  18.0  2.31  0.0  0.538  6.575  65.2  4.0900  1.0  296.0  15.3   \n",
              "1  0.02731   0.0  7.07  0.0  0.469  6.421  78.9  4.9671  2.0  242.0  17.8   \n",
              "2  0.02729   0.0  7.07  0.0  0.469  7.185  61.1  4.9671  2.0  242.0  17.8   \n",
              "3  0.03237   0.0  2.18  0.0  0.458  6.998  45.8  6.0622  3.0  222.0  18.7   \n",
              "4  0.06905   0.0  2.18  0.0  0.458  7.147  54.2  6.0622  3.0  222.0  18.7   \n",
              "\n",
              "       11    12  \n",
              "0  396.90  4.98  \n",
              "1  396.90  9.14  \n",
              "2  392.83  4.03  \n",
              "3  394.63  2.94  \n",
              "4  396.90  5.33  "
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          "execution_count": 20,
          "metadata": {},
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      "source": [
        "pd.DataFrame(data).head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dCxZZmW5vgKi"
      },
      "source": [
        "Check for **missing** or **categorical** values so we can handle them appropriately during training"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Vl-a6bZgCN7A",
        "outputId": "161f4f34-0538-4998-926c-638f8352195c"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 506 entries, 0 to 505\n",
            "Data columns (total 13 columns):\n",
            " #   Column  Non-Null Count  Dtype  \n",
            "---  ------  --------------  -----  \n",
            " 0   0       506 non-null    float64\n",
            " 1   1       506 non-null    float64\n",
            " 2   2       506 non-null    float64\n",
            " 3   3       506 non-null    float64\n",
            " 4   4       506 non-null    float64\n",
            " 5   5       506 non-null    float64\n",
            " 6   6       506 non-null    float64\n",
            " 7   7       506 non-null    float64\n",
            " 8   8       506 non-null    float64\n",
            " 9   9       506 non-null    float64\n",
            " 10  10      506 non-null    float64\n",
            " 11  11      506 non-null    float64\n",
            " 12  12      506 non-null    float64\n",
            "dtypes: float64(13)\n",
            "memory usage: 51.5 KB\n"
          ]
        }
      ],
      "source": [
        "pd.DataFrame(data).info()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jXxOw52cvr-w"
      },
      "source": [
        "Check statistical metrics of the dataset to see if any normalization would be convenient"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "id": "HE-Fv989CvB5",
        "outputId": "6df8042a-4ee6-4c00-fc70-0777b7d23153"
      },
      "outputs": [
        {
          "data": {
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              "      <th>0</th>\n",
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              "      <th>2</th>\n",
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              "      <th>8</th>\n",
              "      <th>9</th>\n",
              "      <th>10</th>\n",
              "      <th>11</th>\n",
              "      <th>12</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>506.000000</td>\n",
              "      <td>506.000000</td>\n",
              "      <td>506.000000</td>\n",
              "      <td>506.000000</td>\n",
              "      <td>506.000000</td>\n",
              "      <td>506.000000</td>\n",
              "      <td>506.000000</td>\n",
              "      <td>506.000000</td>\n",
              "      <td>506.000000</td>\n",
              "      <td>506.000000</td>\n",
              "      <td>506.000000</td>\n",
              "      <td>506.000000</td>\n",
              "      <td>506.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>3.613524</td>\n",
              "      <td>11.363636</td>\n",
              "      <td>11.136779</td>\n",
              "      <td>0.069170</td>\n",
              "      <td>0.554695</td>\n",
              "      <td>6.284634</td>\n",
              "      <td>68.574901</td>\n",
              "      <td>3.795043</td>\n",
              "      <td>9.549407</td>\n",
              "      <td>408.237154</td>\n",
              "      <td>18.455534</td>\n",
              "      <td>356.674032</td>\n",
              "      <td>12.653063</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>8.601545</td>\n",
              "      <td>23.322453</td>\n",
              "      <td>6.860353</td>\n",
              "      <td>0.253994</td>\n",
              "      <td>0.115878</td>\n",
              "      <td>0.702617</td>\n",
              "      <td>28.148861</td>\n",
              "      <td>2.105710</td>\n",
              "      <td>8.707259</td>\n",
              "      <td>168.537116</td>\n",
              "      <td>2.164946</td>\n",
              "      <td>91.294864</td>\n",
              "      <td>7.141062</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.006320</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.460000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.385000</td>\n",
              "      <td>3.561000</td>\n",
              "      <td>2.900000</td>\n",
              "      <td>1.129600</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>187.000000</td>\n",
              "      <td>12.600000</td>\n",
              "      <td>0.320000</td>\n",
              "      <td>1.730000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>0.082045</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>5.190000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.449000</td>\n",
              "      <td>5.885500</td>\n",
              "      <td>45.025000</td>\n",
              "      <td>2.100175</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>279.000000</td>\n",
              "      <td>17.400000</td>\n",
              "      <td>375.377500</td>\n",
              "      <td>6.950000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>0.256510</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>9.690000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.538000</td>\n",
              "      <td>6.208500</td>\n",
              "      <td>77.500000</td>\n",
              "      <td>3.207450</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>330.000000</td>\n",
              "      <td>19.050000</td>\n",
              "      <td>391.440000</td>\n",
              "      <td>11.360000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>3.677083</td>\n",
              "      <td>12.500000</td>\n",
              "      <td>18.100000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.624000</td>\n",
              "      <td>6.623500</td>\n",
              "      <td>94.075000</td>\n",
              "      <td>5.188425</td>\n",
              "      <td>24.000000</td>\n",
              "      <td>666.000000</td>\n",
              "      <td>20.200000</td>\n",
              "      <td>396.225000</td>\n",
              "      <td>16.955000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>88.976200</td>\n",
              "      <td>100.000000</td>\n",
              "      <td>27.740000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.871000</td>\n",
              "      <td>8.780000</td>\n",
              "      <td>100.000000</td>\n",
              "      <td>12.126500</td>\n",
              "      <td>24.000000</td>\n",
              "      <td>711.000000</td>\n",
              "      <td>22.000000</td>\n",
              "      <td>396.900000</td>\n",
              "      <td>37.970000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "               0           1           2           3           4           5   \\\n",
              "count  506.000000  506.000000  506.000000  506.000000  506.000000  506.000000   \n",
              "mean     3.613524   11.363636   11.136779    0.069170    0.554695    6.284634   \n",
              "std      8.601545   23.322453    6.860353    0.253994    0.115878    0.702617   \n",
              "min      0.006320    0.000000    0.460000    0.000000    0.385000    3.561000   \n",
              "25%      0.082045    0.000000    5.190000    0.000000    0.449000    5.885500   \n",
              "50%      0.256510    0.000000    9.690000    0.000000    0.538000    6.208500   \n",
              "75%      3.677083   12.500000   18.100000    0.000000    0.624000    6.623500   \n",
              "max     88.976200  100.000000   27.740000    1.000000    0.871000    8.780000   \n",
              "\n",
              "               6           7           8           9           10          11  \\\n",
              "count  506.000000  506.000000  506.000000  506.000000  506.000000  506.000000   \n",
              "mean    68.574901    3.795043    9.549407  408.237154   18.455534  356.674032   \n",
              "std     28.148861    2.105710    8.707259  168.537116    2.164946   91.294864   \n",
              "min      2.900000    1.129600    1.000000  187.000000   12.600000    0.320000   \n",
              "25%     45.025000    2.100175    4.000000  279.000000   17.400000  375.377500   \n",
              "50%     77.500000    3.207450    5.000000  330.000000   19.050000  391.440000   \n",
              "75%     94.075000    5.188425   24.000000  666.000000   20.200000  396.225000   \n",
              "max    100.000000   12.126500   24.000000  711.000000   22.000000  396.900000   \n",
              "\n",
              "               12  \n",
              "count  506.000000  \n",
              "mean    12.653063  \n",
              "std      7.141062  \n",
              "min      1.730000  \n",
              "25%      6.950000  \n",
              "50%     11.360000  \n",
              "75%     16.955000  \n",
              "max     37.970000  "
            ]
          },
          "execution_count": 22,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "pd.DataFrame(data).describe()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nL_TYAF5v2ex"
      },
      "source": [
        "Illustrate the correlation between the variables"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 504
        },
        "id": "ZCihRXV5DL5h",
        "outputId": "3079b076-dcdf-4fb9-bb24-d980c857ffe6"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<AxesSubplot:>"
            ]
          },
          "execution_count": 23,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1600x800 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.figure(figsize=(16, 8))\n",
        "sn.heatmap(pd.DataFrame(data).corr(), annot=True)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Qs-fAPVIv7r1"
      },
      "source": [
        "**Normalize** the dataset, to boost training accuracy. The issue with having parameters in totally different ranges is related to the optimization part of learning. Specifically, a variable in the range [0-1] will require a small value for the *learning rate* to converge, while a variable in the range [$10^3-10^4$] will require a significantly larger value. If we don't normalize, a small learning rate will result in extremely slow convergence of the large variable. A large one on the other hand will cause instability at the small variable."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 364
        },
        "id": "f58ajPPfahE2",
        "outputId": "2f4fb702-16d5-447b-ef51-86bb8ac2c90b"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>0</th>\n",
              "      <th>1</th>\n",
              "      <th>2</th>\n",
              "      <th>3</th>\n",
              "      <th>4</th>\n",
              "      <th>5</th>\n",
              "      <th>6</th>\n",
              "      <th>7</th>\n",
              "      <th>8</th>\n",
              "      <th>9</th>\n",
              "      <th>10</th>\n",
              "      <th>11</th>\n",
              "      <th>12</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>5.060000e+02</td>\n",
              "      <td>5.060000e+02</td>\n",
              "      <td>5.060000e+02</td>\n",
              "      <td>5.060000e+02</td>\n",
              "      <td>5.060000e+02</td>\n",
              "      <td>5.060000e+02</td>\n",
              "      <td>5.060000e+02</td>\n",
              "      <td>5.060000e+02</td>\n",
              "      <td>5.060000e+02</td>\n",
              "      <td>506.000000</td>\n",
              "      <td>5.060000e+02</td>\n",
              "      <td>5.060000e+02</td>\n",
              "      <td>5.060000e+02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>-1.123388e-16</td>\n",
              "      <td>7.898820e-17</td>\n",
              "      <td>2.106352e-16</td>\n",
              "      <td>-3.510587e-17</td>\n",
              "      <td>-1.965929e-16</td>\n",
              "      <td>-1.088282e-16</td>\n",
              "      <td>-1.474446e-16</td>\n",
              "      <td>-8.425408e-17</td>\n",
              "      <td>-1.123388e-16</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-4.212704e-16</td>\n",
              "      <td>-7.442444e-16</td>\n",
              "      <td>-3.089316e-16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>1.000990e+00</td>\n",
              "      <td>1.000990e+00</td>\n",
              "      <td>1.000990e+00</td>\n",
              "      <td>1.000990e+00</td>\n",
              "      <td>1.000990e+00</td>\n",
              "      <td>1.000990e+00</td>\n",
              "      <td>1.000990e+00</td>\n",
              "      <td>1.000990e+00</td>\n",
              "      <td>1.000990e+00</td>\n",
              "      <td>1.000990</td>\n",
              "      <td>1.000990e+00</td>\n",
              "      <td>1.000990e+00</td>\n",
              "      <td>1.000990e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>-4.197819e-01</td>\n",
              "      <td>-4.877224e-01</td>\n",
              "      <td>-1.557842e+00</td>\n",
              "      <td>-2.725986e-01</td>\n",
              "      <td>-1.465882e+00</td>\n",
              "      <td>-3.880249e+00</td>\n",
              "      <td>-2.335437e+00</td>\n",
              "      <td>-1.267069e+00</td>\n",
              "      <td>-9.828429e-01</td>\n",
              "      <td>-1.313990</td>\n",
              "      <td>-2.707379e+00</td>\n",
              "      <td>-3.907193e+00</td>\n",
              "      <td>-1.531127e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>-4.109696e-01</td>\n",
              "      <td>-4.877224e-01</td>\n",
              "      <td>-8.676906e-01</td>\n",
              "      <td>-2.725986e-01</td>\n",
              "      <td>-9.130288e-01</td>\n",
              "      <td>-5.686303e-01</td>\n",
              "      <td>-8.374480e-01</td>\n",
              "      <td>-8.056878e-01</td>\n",
              "      <td>-6.379618e-01</td>\n",
              "      <td>-0.767576</td>\n",
              "      <td>-4.880391e-01</td>\n",
              "      <td>2.050715e-01</td>\n",
              "      <td>-7.994200e-01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>-3.906665e-01</td>\n",
              "      <td>-4.877224e-01</td>\n",
              "      <td>-2.110985e-01</td>\n",
              "      <td>-2.725986e-01</td>\n",
              "      <td>-1.442174e-01</td>\n",
              "      <td>-1.084655e-01</td>\n",
              "      <td>3.173816e-01</td>\n",
              "      <td>-2.793234e-01</td>\n",
              "      <td>-5.230014e-01</td>\n",
              "      <td>-0.464673</td>\n",
              "      <td>2.748590e-01</td>\n",
              "      <td>3.811865e-01</td>\n",
              "      <td>-1.812536e-01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>7.396560e-03</td>\n",
              "      <td>4.877224e-02</td>\n",
              "      <td>1.015999e+00</td>\n",
              "      <td>-2.725986e-01</td>\n",
              "      <td>5.986790e-01</td>\n",
              "      <td>4.827678e-01</td>\n",
              "      <td>9.067981e-01</td>\n",
              "      <td>6.623709e-01</td>\n",
              "      <td>1.661245e+00</td>\n",
              "      <td>1.530926</td>\n",
              "      <td>8.065758e-01</td>\n",
              "      <td>4.336510e-01</td>\n",
              "      <td>6.030188e-01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>9.933931e+00</td>\n",
              "      <td>3.804234e+00</td>\n",
              "      <td>2.422565e+00</td>\n",
              "      <td>3.668398e+00</td>\n",
              "      <td>2.732346e+00</td>\n",
              "      <td>3.555044e+00</td>\n",
              "      <td>1.117494e+00</td>\n",
              "      <td>3.960518e+00</td>\n",
              "      <td>1.661245e+00</td>\n",
              "      <td>1.798194</td>\n",
              "      <td>1.638828e+00</td>\n",
              "      <td>4.410519e-01</td>\n",
              "      <td>3.548771e+00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                 0             1             2             3             4   \\\n",
              "count  5.060000e+02  5.060000e+02  5.060000e+02  5.060000e+02  5.060000e+02   \n",
              "mean  -1.123388e-16  7.898820e-17  2.106352e-16 -3.510587e-17 -1.965929e-16   \n",
              "std    1.000990e+00  1.000990e+00  1.000990e+00  1.000990e+00  1.000990e+00   \n",
              "min   -4.197819e-01 -4.877224e-01 -1.557842e+00 -2.725986e-01 -1.465882e+00   \n",
              "25%   -4.109696e-01 -4.877224e-01 -8.676906e-01 -2.725986e-01 -9.130288e-01   \n",
              "50%   -3.906665e-01 -4.877224e-01 -2.110985e-01 -2.725986e-01 -1.442174e-01   \n",
              "75%    7.396560e-03  4.877224e-02  1.015999e+00 -2.725986e-01  5.986790e-01   \n",
              "max    9.933931e+00  3.804234e+00  2.422565e+00  3.668398e+00  2.732346e+00   \n",
              "\n",
              "                 5             6             7             8           9   \\\n",
              "count  5.060000e+02  5.060000e+02  5.060000e+02  5.060000e+02  506.000000   \n",
              "mean  -1.088282e-16 -1.474446e-16 -8.425408e-17 -1.123388e-16    0.000000   \n",
              "std    1.000990e+00  1.000990e+00  1.000990e+00  1.000990e+00    1.000990   \n",
              "min   -3.880249e+00 -2.335437e+00 -1.267069e+00 -9.828429e-01   -1.313990   \n",
              "25%   -5.686303e-01 -8.374480e-01 -8.056878e-01 -6.379618e-01   -0.767576   \n",
              "50%   -1.084655e-01  3.173816e-01 -2.793234e-01 -5.230014e-01   -0.464673   \n",
              "75%    4.827678e-01  9.067981e-01  6.623709e-01  1.661245e+00    1.530926   \n",
              "max    3.555044e+00  1.117494e+00  3.960518e+00  1.661245e+00    1.798194   \n",
              "\n",
              "                 10            11            12  \n",
              "count  5.060000e+02  5.060000e+02  5.060000e+02  \n",
              "mean  -4.212704e-16 -7.442444e-16 -3.089316e-16  \n",
              "std    1.000990e+00  1.000990e+00  1.000990e+00  \n",
              "min   -2.707379e+00 -3.907193e+00 -1.531127e+00  \n",
              "25%   -4.880391e-01  2.050715e-01 -7.994200e-01  \n",
              "50%    2.748590e-01  3.811865e-01 -1.812536e-01  \n",
              "75%    8.065758e-01  4.336510e-01  6.030188e-01  \n",
              "max    1.638828e+00  4.410519e-01  3.548771e+00  "
            ]
          },
          "execution_count": 24,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "preprocessing.scale(data, copy=False, axis=0)\n",
        "pd.DataFrame(data).describe()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "c-8xityBvOQS"
      },
      "source": [
        "Split the dataset into **train, test, validation** sets as **60%-25%-15%**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "id": "UJIXSc8bvNU7"
      },
      "outputs": [],
      "source": [
        "data = pd.DataFrame(data)\n",
        "target = pd.DataFrame(target)\n",
        "\n",
        "(\n",
        "    X_train, \n",
        "    X_test, \n",
        "    y_train, \n",
        "    y_test\n",
        " ) = train_test_split(\n",
        "        data, \n",
        "        target, \n",
        "        test_size=0.25\n",
        "    )\n",
        "\n",
        "(\n",
        "    X_train, \n",
        "    X_val, \n",
        "    y_train, \n",
        "    y_val\n",
        " ) = train_test_split(\n",
        "        X_train, \n",
        "        y_train, \n",
        "        test_size=0.26\n",
        "    )\n",
        " \n",
        "N = len(data)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zmhNBxKsxPEx"
      },
      "source": [
        "Create the **RBF Neural Network**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "id": "iZ9AAP0kHWC7"
      },
      "outputs": [],
      "source": [
        "from tensorflow.python.ops.init_ops_v2 import Initializer\n",
        "from keras import backend as K\n",
        "import math\n",
        "\n",
        "def coeff_determination(y_true, y_pred):\n",
        "    SS_res =  K.sum(K.square(y_true-y_pred))\n",
        "    SS_tot = K.sum(K.square(y_true - K.mean(y_true)))\n",
        "    return (1 - SS_res / (SS_tot + K.epsilon()))\n",
        "\n",
        "\n",
        "models = {0.1: None, 0.5: None, 0.9: None}\n",
        "\n",
        "for percentage in [0.1, 0.5, 0.9]:\n",
        "    custom_layer = rbflayer.RBFLayer(\n",
        "                        int(percentage * N),\n",
        "                        initializer=kmeans_initializer.InitCentersKMeans(data),\n",
        "                        betas=1.0,\n",
        "                        input_shape=((13, 1))\n",
        "                    )\n",
        "\n",
        "    model = keras.models.Sequential()\n",
        "    model.add(custom_layer)\n",
        "    model.add(keras.layers.Dense(128, activation=\"relu\"))\n",
        "    model.add(keras.layers.Dense(1, activation=\"relu\"))\n",
        "\n",
        "    num_of_epochs = 100\n",
        "    learning_rate = 0.001\n",
        "\n",
        "    model.compile(\n",
        "        loss=\"MeanSquaredError\",\n",
        "        optimizer=keras.optimizers.SGD(\n",
        "            learning_rate=learning_rate\n",
        "        ),\n",
        "        metrics=[\n",
        "            \"MeanSquaredError\", \n",
        "            coeff_determination\n",
        "        ]\n",
        "    )\n",
        "\n",
        "    models[percentage] = model"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "L1N5aLx1xgGE"
      },
      "source": [
        "**Train** the RBF Neural Network"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "id": "nwLrbudRxi4Y"
      },
      "outputs": [],
      "source": [
        "histories = {0.1: None, 0.5: None, 0.9: None}\n",
        "num_of_epochs = 100\n",
        "\n",
        "for perc, model in models.items():\n",
        "    his = model.fit(\n",
        "        X_train, \n",
        "        y_train, \n",
        "        epochs=num_of_epochs, \n",
        "        batch_size=32, \n",
        "        validation_data=(X_val, y_val), \n",
        "        verbose=0\n",
        "    )\n",
        "    histories[perc] = his"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "psBSBAxntRFX"
      },
      "source": [
        "Plot model $R^2$ and Root Mean Squared Error \n",
        "We have three models using **(10%, 50%, 90%)$\\times N_{samples}$** number of RBF neurons respectively"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "lvT9pNuftQnK",
        "outputId": "dd6e4ad1-b460-44f7-e396-95371b66e7a8"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 900x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 900x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 900x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 900x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 900x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 900x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.rcParams['text.usetex'] = False\n",
        "\n",
        "for perc, his in histories.items():\n",
        "    plt.figure(figsize=(9, 6))\n",
        "    plt.plot(his.history['coeff_determination'])\n",
        "    plt.plot(his.history['val_coeff_determination'])\n",
        "    plt.title(\n",
        "        'RBF layer neurons: '+ str(int(perc * 100)) + '\\% of $N_{samples}$', \n",
        "        fontsize=20\n",
        "    )\n",
        "    plt.ylabel('$R^2$', fontsize=20)\n",
        "    plt.xlabel('epoch', fontsize=20)\n",
        "    plt.legend(['train', 'validation'], prop={'size': 20})\n",
        "    plt.show()\n",
        "\n",
        "    plt.figure(figsize=(9, 6))\n",
        "    plt.plot([math.sqrt(mse) for mse in his.history['mean_squared_error']])\n",
        "    plt.plot([math.sqrt(mse) for mse in his.history['val_mean_squared_error']])\n",
        "    plt.title(\n",
        "        'RBF layer neurons: '+ str(int(perc * 100)) + '\\% of $N_{samples}$', \n",
        "        fontsize=20\n",
        "    )\n",
        "    plt.ylabel('root mean squared error', fontsize=20)\n",
        "    plt.xlabel('epoch', fontsize=20)\n",
        "    plt.legend(['train', 'validation'], prop={'size': 20})\n",
        "    plt.show()\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LyVZS2u01wXC"
      },
      "source": [
        "### Fine Tuning of the RBF Regressor"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "brImp_9E23bz"
      },
      "source": [
        "Build the **Tuner**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {
        "id": "NfRMOUFs11R7"
      },
      "outputs": [],
      "source": [
        "def build_model(hp):\n",
        "    hp_rbf_neurons = hp.Choice(\n",
        "        'rbf neurons', \n",
        "        values=[\n",
        "            int(n) \n",
        "            for n in [\n",
        "                0.05 * N,\n",
        "                0.15 * N,\n",
        "                0.30 * N,\n",
        "                0.50 * N\n",
        "            ]\n",
        "        ]\n",
        "    )\n",
        "    \n",
        "    hp_hidden_neurons = hp.Choice(\n",
        "        'hidden neurons',\n",
        "        values=[\n",
        "            32,\n",
        "            64,\n",
        "            128,\n",
        "            256\n",
        "        ]\n",
        "    )\n",
        "\n",
        "    hp_dropout_p = hp.Choice(\n",
        "        'dropout',\n",
        "        values=[\n",
        "            0.2,\n",
        "            0.35,\n",
        "            0.5\n",
        "        ]\n",
        "    )\n",
        "\n",
        "    custom_layer = rbflayer.RBFLayer(\n",
        "                        hp_rbf_neurons,\n",
        "                        initializer=kmeans_initializer.InitCentersKMeans(data),\n",
        "                        betas=1.0,\n",
        "                        input_shape=((13, 1))\n",
        "                    )\n",
        "    \n",
        "    model = keras.models.Sequential()\n",
        "    model.add(custom_layer)\n",
        "    model.add(keras.layers.Dense(hp_hidden_neurons, activation=\"relu\"))\n",
        "    model.add(keras.layers.Dropout(hp_dropout_p, seed=42))\n",
        "    model.add(keras.layers.Dense(1, activation=\"relu\"))\n",
        "\n",
        "    num_of_epochs = 100\n",
        "    learning_rate = 0.001\n",
        "\n",
        "    model.compile(\n",
        "        loss=\"MeanSquaredError\",\n",
        "        optimizer=keras.optimizers.SGD(\n",
        "            learning_rate=learning_rate, \n",
        "            decay=learning_rate / num_of_epochs,\n",
        "            momentum=0.7, \n",
        "        ),\n",
        "        metrics=[\n",
        "            \"MeanSquaredError\", \n",
        "            coeff_determination\n",
        "        ]\n",
        "    )\n",
        "\n",
        "    return model"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lOGmC8q_5Imb"
      },
      "source": [
        "Perform exhaustive search for the  **Optimal Hyperparameters**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {
        "id": "jJmRKpbS5IZs"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Trial 29 Complete [00h 00m 13s]\n",
            "val_loss: 37.14750671386719\n",
            "\n",
            "Best val_loss So Far: 35.54623794555664\n",
            "Total elapsed time: 00h 05m 53s\n",
            "INFO:tensorflow:Oracle triggered exit\n"
          ]
        }
      ],
      "source": [
        "tuner = kt.RandomSearch(\n",
        "    build_model,\n",
        "    objective=\"val_loss\",\n",
        "    max_trials=50,\n",
        "    overwrite=True\n",
        ")\n",
        "\n",
        "tuner.search(\n",
        "    X_train, \n",
        "    y_train, \n",
        "    epochs=num_of_epochs, \n",
        "    validation_data=(X_val, y_val)\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tffkmiiH6cs7"
      },
      "source": [
        "Print the **optimal hyperparameters**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 31,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "djTxZ0Dk51Ac",
        "outputId": "4cf165e1-d982-4e4b-fc87-d307df636bf2"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "The best parameters are:\n",
            "RBF neurons: 253 \n",
            "Hidden neurons: 128\n",
            "Dropout p: 0.2\n",
            "\n"
          ]
        }
      ],
      "source": [
        "best_hps=tuner.get_best_hyperparameters(num_trials=1)[0]\n",
        "\n",
        "print(f\"\"\"\n",
        "The best parameters are:\n",
        "RBF neurons: {best_hps.get('rbf neurons')} \n",
        "Hidden neurons: {best_hps.get('hidden neurons')}\n",
        "Dropout p: {best_hps.get('dropout')}\n",
        "\"\"\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 32,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pMKvSjeK9uLC",
        "outputId": "b2804852-52df-49aa-ede8-4b7f03765769"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Model: \"sequential\"\n",
            "_________________________________________________________________\n",
            " Layer (type)                Output Shape              Param #   \n",
            "=================================================================\n",
            " rbf_layer (RBFLayer)        (None, 253)               3542      \n",
            "                                                                 \n",
            " dense (Dense)               (None, 128)               32512     \n",
            "                                                                 \n",
            " dropout (Dropout)           (None, 128)               0         \n",
            "                                                                 \n",
            " dense_1 (Dense)             (None, 1)                 129       \n",
            "                                                                 \n",
            "=================================================================\n",
            "Total params: 36,183\n",
            "Trainable params: 36,183\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n"
          ]
        }
      ],
      "source": [
        "best_model = tuner.get_best_models()[0]\n",
        "best_model.summary()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ALEAZovD-o1D"
      },
      "source": [
        "Use model to obtain predictions on test set and evaluate"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 33,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cjT5L1dS-vWu",
        "outputId": "d591a0b8-c6f5-4826-cd59-e890add14fe0"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "9/9 [==============================] - 0s 2ms/step - loss: 3.0552 - mean_squared_error: 3.0552 - coeff_determination: 0.9533\n",
            "4/4 [==============================] - 0s 2ms/step - loss: 36.4256 - mean_squared_error: 36.4256 - coeff_determination: 0.5996\n"
          ]
        }
      ],
      "source": [
        "train_results = best_model.evaluate(X_train, y_train)\n",
        "test_result = best_model.evaluate(X_test, y_test)"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "authorship_tag": "ABX9TyODwT7t0e9Q4v2zLYmQ6GU5",
      "collapsed_sections": [],
      "include_colab_link": true,
      "name": "rbf-nn-regressor.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3.8.10 64-bit",
      "language": "python",
      "name": "python3"
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    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
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      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
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      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
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