RawData_Deep_physionet.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "RawData_Deep_physionet.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "machine_shape": "hm",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/M-torki/PCG-classification/blob/main/RawData_Deep_physionet.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4cbgwZWWfWpp"
      },
      "source": [
        "# New Section"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tAb77yZ9fzMG",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "37907ac4-6cf6-4ede-d295-ad7b0ae6c947"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/gdrive')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Mounted at /gdrive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pafL7Li0jyXW",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "a5878db7-e4d0-4dc4-d7b4-5885ca36f30f"
      },
      "source": [
        "cd /gdrive/My\\ Drive/"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/gdrive/My Drive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 392
        },
        "id": "GXNh6Zmst3zU",
        "outputId": "7ef33ed5-dbd1-4d47-9caa-9ed39a3c741e"
      },
      "source": [
        "from IPython.display import Image\n",
        "Image('./physionet.org/files/challenge-2016/1.0.0/figure1.png')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JrGAD2mcMYav"
      },
      "source": [
        "from matplotlib import pyplot as plt\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import librosa\n",
        "import tensorflow as tf\n",
        "from keras.callbacks import ReduceLROnPlateau\n",
        "from keras.utils.np_utils import to_categorical\n",
        "import keras.backend as K\n",
        "from keras import regularizers\n",
        "from keras.layers import Lambda , Dropout\n",
        "from keras.layers.convolutional import Conv1D, MaxPooling1D\n",
        "from keras.layers.core import Activation, Dense\n",
        "from keras.layers.normalization import BatchNormalization\n",
        "from keras.models import Sequential\n",
        "import pickle\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.preprocessing import OneHotEncoder\n",
        "from keras.optimizers import Adam"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cb4nBGM1MbhY"
      },
      "source": [
        "df = pd.read_pickle('pcg_train')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 195
        },
        "id": "lHKs3EOlMgvV",
        "outputId": "998fdaff-b436-4318-d9f5-6fc003cfbb51"
      },
      "source": [
        "df[:5]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>file_name</th>\n",
              "      <th>x</th>\n",
              "      <th>labels</th>\n",
              "      <th>x_new</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>a0001.wav</td>\n",
              "      <td>[-69, -135, -104, -25, -63, -3, 30, -22, 26, 7...</td>\n",
              "      <td>0</td>\n",
              "      <td>[-0.11828166994909153, -0.23227743441296303, -...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>a0002.wav</td>\n",
              "      <td>[297, 728, 779, 802, 590, 242, 187, 134, 139, ...</td>\n",
              "      <td>0</td>\n",
              "      <td>[1.1143723879066474, 2.7297561443298193, 2.920...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>a0003.wav</td>\n",
              "      <td>[-126, -306, -265, -310, -300, -332, -319, -34...</td>\n",
              "      <td>0</td>\n",
              "      <td>[-0.22777343330408797, -0.5606931694054965, -0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>a0004.wav</td>\n",
              "      <td>[350, 703, 599, 638, 591, 574, 529, 525, 496, ...</td>\n",
              "      <td>0</td>\n",
              "      <td>[0.4690217604764019, 0.9415265550817993, 0.802...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>a0005.wav</td>\n",
              "      <td>[-55, -97, -87, -125, -162, -247, -315, -410, ...</td>\n",
              "      <td>0</td>\n",
              "      <td>[-0.027232487858564813, -0.04831285821584178, ...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   file_name  ...                                              x_new\n",
              "0  a0001.wav  ...  [-0.11828166994909153, -0.23227743441296303, -...\n",
              "1  a0002.wav  ...  [1.1143723879066474, 2.7297561443298193, 2.920...\n",
              "2  a0003.wav  ...  [-0.22777343330408797, -0.5606931694054965, -0...\n",
              "3  a0004.wav  ...  [0.4690217604764019, 0.9415265550817993, 0.802...\n",
              "4  a0005.wav  ...  [-0.027232487858564813, -0.04831285821584178, ...\n",
              "\n",
              "[5 rows x 4 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GOvkJvYxokeJ",
        "outputId": "f70114df-080d-45e4-dd6e-1f0b894af3b2"
      },
      "source": [
        "x = np.stack(df['x_new'].values, axis=0)\n",
        "y = np.stack(df['labels'].values, axis=0)\n",
        "x.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(3240, 110250)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "x5_CuzmVwufn",
        "outputId": "dc4f53e7-64e5-4a43-8d52-c9ded8a669f3"
      },
      "source": [
        "unique, counts = np.unique(y, return_counts=True)\n",
        "dict(zip(unique, counts))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{0: 665, 1: 2575}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "liYYCvXMxV3e",
        "outputId": "d9dbb8b8-76e0-4d32-99ee-4366d8b78051"
      },
      "source": [
        "y.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(3240,)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DETgQc-ioCgc",
        "outputId": "b5f05757-e4dd-49d2-840e-d204e3439264"
      },
      "source": [
        "x = x[:,:10000]\n",
        "x.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(3240, 10000)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "o6UqKduOqsQ_",
        "outputId": "219fbf6e-fa5a-4b6c-df54-b6569292f90d"
      },
      "source": [
        "y[:10]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0, 0, 0, 0, 0, 0, 1, 0, 1, 0])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 298
        },
        "id": "nxSxHYd4qLwY",
        "outputId": "adbf38f4-1172-49b9-9928-f01ab875ce49"
      },
      "source": [
        "plt.plot(x[1,:5000])\n",
        "plt.title('Abnormal')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Abnormal')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 298
        },
        "id": "oiGVcynN2Ktu",
        "outputId": "6c5caa6e-3529-4686-b708-4a10c08845eb"
      },
      "source": [
        "plt.plot(x[0,:5000])\n",
        "plt.title('Abnormal')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Abnormal')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 298
        },
        "id": "jNrgmaLHqpV6",
        "outputId": "4dec1fcb-8cb3-49b7-8550-2de67a946615"
      },
      "source": [
        "plt.plot(x[6,:5000] , 'r')\n",
        "plt.title('Normal')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Normal')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WXihdoodH12K",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d9ab6c09-7c58-4a39-91d3-8f1cf9b2b158"
      },
      "source": [
        "x_train, x_test, y_train, y_test = train_test_split(x, y , test_size=0.15)\n",
        "print(\"x_train: {0}, x_test: {1}\".format(x_train.shape, x_test.shape))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "x_train: (2754, 10000), x_test: (486, 10000)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BDbJ9X8Msy7W",
        "outputId": "06ff50a7-140b-44fe-9ed1-dd39b7fddbb3"
      },
      "source": [
        "x_train = np.expand_dims(x_train , axis=-1)\n",
        "x_test = np.expand_dims(x_test , axis=-1)\n",
        "x_train.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2754, 10000, 1)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_DHF9HMbswta",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f074860a-f338-48a5-d69e-c1bafd6f71e7"
      },
      "source": [
        "y_train = to_categorical(y_train)\n",
        "y_test = to_categorical(y_test)\n",
        "print(y_train[0])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[0. 1.]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cHLoISTW4ITL"
      },
      "source": [
        "# (y_train==[1,0])[:,0]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "o_GYv-bGtKRR"
      },
      "source": [
        "# sample_weight = np.ones(shape=(len(y_train),))\n",
        "# sample_weight[(y_train==[1,0])[:,0]] = 1.5"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4Mk18NZ74zTH"
      },
      "source": [
        "# sample_weight[:5]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0NGd8eJxxOK6"
      },
      "source": [
        "num_classes = 2\n",
        "AUDIO_LENGTH =  10000"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HY0Ogp3u5DkO"
      },
      "source": [
        "m = Sequential()\n",
        "m.add(Conv1D(16,\n",
        "                input_shape=[AUDIO_LENGTH, 1],\n",
        "                kernel_size=80,\n",
        "                strides=4,\n",
        "                padding='same',\n",
        "                kernel_initializer='glorot_uniform',\n",
        "                kernel_regularizer=regularizers.l2(l=0.0001)))\n",
        "m.add(BatchNormalization())\n",
        "m.add(Activation('relu'))\n",
        "m.add(MaxPooling1D(pool_size=4, strides=None))\n",
        "m.add(Dropout(0.3))\n",
        "m.add(Conv1D(32,\n",
        "                kernel_size=3,\n",
        "                strides=1,\n",
        "                padding='same',\n",
        "                kernel_initializer='glorot_uniform',\n",
        "                kernel_regularizer=regularizers.l2(l=0.0001)))\n",
        "m.add(BatchNormalization())\n",
        "m.add(Activation('relu'))\n",
        "m.add(MaxPooling1D(pool_size=4, strides=None))\n",
        "m.add(Dropout(0.5))\n",
        "m.add(Conv1D(64,\n",
        "                kernel_size=3,\n",
        "                strides=1,\n",
        "                padding='same',\n",
        "                kernel_initializer='glorot_uniform',\n",
        "                kernel_regularizer=regularizers.l2(l=0.0001)))\n",
        "m.add(BatchNormalization())\n",
        "m.add(Activation('relu'))\n",
        "m.add(MaxPooling1D(pool_size=4, strides=None))\n",
        "m.add(Dropout(0.3))\n",
        "\n",
        "m.add(Conv1D(64,\n",
        "                kernel_size=3,\n",
        "                strides=1,\n",
        "                padding='same',\n",
        "                kernel_initializer='glorot_uniform',\n",
        "                kernel_regularizer=regularizers.l2(l=0.0001)))\n",
        "m.add(BatchNormalization())\n",
        "m.add(Activation('relu'))\n",
        "m.add(MaxPooling1D(pool_size=4, strides=None))\n",
        "\n",
        "m.add(Lambda(lambda x: K.mean(x, axis=1)))  # Same as GAP for 1D Conv Layer\n",
        "m.add(Dropout(0.5))\n",
        "\n",
        "m.add(Dense(num_classes, activation='sigmoid'))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "izu5N0wKMj9S",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "23741975-3484-4223-e51c-b2b388850fec"
      },
      "source": [
        "m.summary()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"sequential_13\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "conv1d_49 (Conv1D)           (None, 2500, 16)          1296      \n",
            "_________________________________________________________________\n",
            "batch_normalization_49 (Batc (None, 2500, 16)          64        \n",
            "_________________________________________________________________\n",
            "activation_49 (Activation)   (None, 2500, 16)          0         \n",
            "_________________________________________________________________\n",
            "max_pooling1d_49 (MaxPooling (None, 625, 16)           0         \n",
            "_________________________________________________________________\n",
            "dropout_40 (Dropout)         (None, 625, 16)           0         \n",
            "_________________________________________________________________\n",
            "conv1d_50 (Conv1D)           (None, 625, 32)           1568      \n",
            "_________________________________________________________________\n",
            "batch_normalization_50 (Batc (None, 625, 32)           128       \n",
            "_________________________________________________________________\n",
            "activation_50 (Activation)   (None, 625, 32)           0         \n",
            "_________________________________________________________________\n",
            "max_pooling1d_50 (MaxPooling (None, 156, 32)           0         \n",
            "_________________________________________________________________\n",
            "dropout_41 (Dropout)         (None, 156, 32)           0         \n",
            "_________________________________________________________________\n",
            "conv1d_51 (Conv1D)           (None, 156, 64)           6208      \n",
            "_________________________________________________________________\n",
            "batch_normalization_51 (Batc (None, 156, 64)           256       \n",
            "_________________________________________________________________\n",
            "activation_51 (Activation)   (None, 156, 64)           0         \n",
            "_________________________________________________________________\n",
            "max_pooling1d_51 (MaxPooling (None, 39, 64)            0         \n",
            "_________________________________________________________________\n",
            "dropout_42 (Dropout)         (None, 39, 64)            0         \n",
            "_________________________________________________________________\n",
            "conv1d_52 (Conv1D)           (None, 39, 64)            12352     \n",
            "_________________________________________________________________\n",
            "batch_normalization_52 (Batc (None, 39, 64)            256       \n",
            "_________________________________________________________________\n",
            "activation_52 (Activation)   (None, 39, 64)            0         \n",
            "_________________________________________________________________\n",
            "max_pooling1d_52 (MaxPooling (None, 9, 64)             0         \n",
            "_________________________________________________________________\n",
            "lambda_12 (Lambda)           (None, 64)                0         \n",
            "_________________________________________________________________\n",
            "dropout_43 (Dropout)         (None, 64)                0         \n",
            "_________________________________________________________________\n",
            "dense_12 (Dense)             (None, 2)                 130       \n",
            "=================================================================\n",
            "Total params: 22,258\n",
            "Trainable params: 21,906\n",
            "Non-trainable params: 352\n",
            "_________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KV3lEmJTy_aK"
      },
      "source": [
        "m.compile(optimizer=Adam(learning_rate=0.0001),\n",
        "                loss='binary_crossentropy',\n",
        "                metrics=['accuracy'])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4WHGEKAQzOGW",
        "outputId": "e076972c-c7bb-4861-a32a-a392f620ce75"
      },
      "source": [
        "# reduce_lr = ReduceLROnPlateau(monitor='val_acc', factor=0.5, patience=10, min_lr=0.0001, verbose=1)\n",
        "batch_size = 16\n",
        "\n",
        "m.fit(x=x_train,\n",
        "        y=y_train,\n",
        "        batch_size=batch_size,\n",
        "        epochs=30,\n",
        "        verbose=1,\n",
        "        shuffle=True,\n",
        "        validation_split = 0.15,\n",
        "        sample_weight=sample_weight,\n",
        ")\n",
        "        # callbacks=[reduce_lr])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch 1/30\n",
            "147/147 [==============================] - 1s 9ms/step - loss: 0.3102 - accuracy: 0.8944 - val_loss: 0.3115 - val_accuracy: 0.8913\n",
            "Epoch 2/30\n",
            "147/147 [==============================] - 1s 8ms/step - loss: 0.3178 - accuracy: 0.8825 - val_loss: 0.3102 - val_accuracy: 0.8937\n",
            "Epoch 3/30\n",
            "147/147 [==============================] - 1s 9ms/step - loss: 0.3249 - accuracy: 0.8893 - val_loss: 0.3118 - val_accuracy: 0.8865\n",
            "Epoch 4/30\n",
            "147/147 [==============================] - 1s 9ms/step - loss: 0.3113 - accuracy: 0.8855 - val_loss: 0.3107 - val_accuracy: 0.8913\n",
            "Epoch 5/30\n",
            "147/147 [==============================] - 1s 8ms/step - loss: 0.3255 - accuracy: 0.8791 - val_loss: 0.3155 - val_accuracy: 0.8816\n",
            "Epoch 6/30\n",
            "147/147 [==============================] - 1s 8ms/step - loss: 0.3144 - accuracy: 0.8846 - val_loss: 0.3131 - val_accuracy: 0.8889\n",
            "Epoch 7/30\n",
            "147/147 [==============================] - 1s 8ms/step - loss: 0.3232 - accuracy: 0.8880 - val_loss: 0.3089 - val_accuracy: 0.8961\n",
            "Epoch 8/30\n",
            "147/147 [==============================] - 1s 8ms/step - loss: 0.3099 - accuracy: 0.8897 - val_loss: 0.3113 - val_accuracy: 0.8865\n",
            "Epoch 9/30\n",
            "147/147 [==============================] - 1s 8ms/step - loss: 0.3031 - accuracy: 0.8902 - val_loss: 0.3107 - val_accuracy: 0.8865\n",
            "Epoch 10/30\n",
            "147/147 [==============================] - 1s 8ms/step - loss: 0.3082 - accuracy: 0.8902 - val_loss: 0.3073 - val_accuracy: 0.8937\n",
            "Epoch 11/30\n",
            "147/147 [==============================] - 1s 9ms/step - loss: 0.3060 - accuracy: 0.8872 - val_loss: 0.3067 - val_accuracy: 0.8913\n",
            "Epoch 12/30\n",
            "147/147 [==============================] - 1s 9ms/step - loss: 0.3185 - accuracy: 0.8902 - val_loss: 0.3109 - val_accuracy: 0.8937\n",
            "Epoch 13/30\n",
            "147/147 [==============================] - 1s 8ms/step - loss: 0.3117 - accuracy: 0.8868 - val_loss: 0.3089 - val_accuracy: 0.9010\n",
            "Epoch 14/30\n",
            "147/147 [==============================] - 1s 9ms/step - loss: 0.3139 - accuracy: 0.8936 - val_loss: 0.3098 - val_accuracy: 0.8961\n",
            "Epoch 15/30\n",
            "147/147 [==============================] - 1s 9ms/step - loss: 0.3142 - accuracy: 0.8923 - val_loss: 0.3141 - val_accuracy: 0.8865\n",
            "Epoch 16/30\n",
            "147/147 [==============================] - 1s 9ms/step - loss: 0.3043 - accuracy: 0.8923 - val_loss: 0.3110 - val_accuracy: 0.8937\n",
            "Epoch 17/30\n",
            "147/147 [==============================] - 1s 9ms/step - loss: 0.3135 - accuracy: 0.8872 - val_loss: 0.3075 - val_accuracy: 0.8913\n",
            "Epoch 18/30\n",
            "147/147 [==============================] - 1s 9ms/step - loss: 0.3142 - accuracy: 0.8816 - val_loss: 0.3096 - val_accuracy: 0.8865\n",
            "Epoch 19/30\n",
            "147/147 [==============================] - 1s 9ms/step - loss: 0.3079 - accuracy: 0.8940 - val_loss: 0.3102 - val_accuracy: 0.8816\n",
            "Epoch 20/30\n",
            "147/147 [==============================] - 1s 9ms/step - loss: 0.3023 - accuracy: 0.8919 - val_loss: 0.3078 - val_accuracy: 0.8889\n",
            "Epoch 21/30\n",
            "147/147 [==============================] - 1s 9ms/step - loss: 0.3153 - accuracy: 0.8902 - val_loss: 0.3085 - val_accuracy: 0.8986\n",
            "Epoch 22/30\n",
            "147/147 [==============================] - 1s 8ms/step - loss: 0.3147 - accuracy: 0.8893 - val_loss: 0.3090 - val_accuracy: 0.8913\n",
            "Epoch 23/30\n",
            "147/147 [==============================] - 1s 9ms/step - loss: 0.3111 - accuracy: 0.8940 - val_loss: 0.3096 - val_accuracy: 0.8937\n",
            "Epoch 24/30\n",
            "147/147 [==============================] - 1s 8ms/step - loss: 0.3262 - accuracy: 0.8863 - val_loss: 0.3102 - val_accuracy: 0.8986\n",
            "Epoch 25/30\n",
            "147/147 [==============================] - 1s 9ms/step - loss: 0.3038 - accuracy: 0.8923 - val_loss: 0.3186 - val_accuracy: 0.8889\n",
            "Epoch 26/30\n",
            "147/147 [==============================] - 1s 9ms/step - loss: 0.2983 - accuracy: 0.8927 - val_loss: 0.3112 - val_accuracy: 0.8889\n",
            "Epoch 27/30\n",
            "147/147 [==============================] - 1s 9ms/step - loss: 0.3062 - accuracy: 0.8932 - val_loss: 0.3072 - val_accuracy: 0.8986\n",
            "Epoch 28/30\n",
            "147/147 [==============================] - 1s 9ms/step - loss: 0.3082 - accuracy: 0.8906 - val_loss: 0.3130 - val_accuracy: 0.8913\n",
            "Epoch 29/30\n",
            "147/147 [==============================] - 1s 9ms/step - loss: 0.3161 - accuracy: 0.8812 - val_loss: 0.3119 - val_accuracy: 0.8889\n",
            "Epoch 30/30\n",
            "147/147 [==============================] - 1s 9ms/step - loss: 0.3130 - accuracy: 0.8855 - val_loss: 0.3108 - val_accuracy: 0.8889\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<tensorflow.python.keras.callbacks.History at 0x7fbb4a1fde50>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 161
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "58nX7G7nO5fm",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 470
        },
        "outputId": "d4d98752-1b79-49e6-f884-658dec406f5e"
      },
      "source": [
        "pred = m.predict(x_test)\n",
        "pr = [np.argmax(pred[i]) for i in range(len(y_test))]\n",
        "Y = [np.argmax(y_test[i]) for i in range(len(y_test))]\n",
        "\n",
        "# for i in range(len(y_test)):\n",
        "#     pred.append(np.argmax(m.predict(x_test[i])))\n",
        "#     Y.append(np.argmax(y_test[i]))\n",
        "\n",
        "conf_plotter(Y , pr , ['Abormal' , 'Normal'] , normalize=1, cmap = plt.cm.Greens ,mode='test', save=1 , name='RawData_Deep_physionet.png')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fbb4a25b2d0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 163
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 504x504 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5a1d3oQzs2i8",
        "outputId": "054fac94-ee5e-4a19-b4e5-253b01de53d5"
      },
      "source": [
        "from sklearn.metrics import classification_report\n",
        "\n",
        "print(classification_report(Y, pr , target_names=['Abnormal' , 'Normal']))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "    Abnormal       0.70      0.85      0.77        87\n",
            "      Normal       0.97      0.92      0.94       399\n",
            "\n",
            "    accuracy                           0.91       486\n",
            "   macro avg       0.83      0.89      0.85       486\n",
            "weighted avg       0.92      0.91      0.91       486\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "U3BSoI7SAI0z",
        "outputId": "ebb55649-978e-4456-f3e8-1cf028170e49"
      },
      "source": [
        "import keras\n",
        "\n",
        "keras.utils.plot_model(\n",
        "    m,\n",
        "    to_file=\"model.png\",\n",
        "    show_shapes=True,\n",
        "    show_dtype=False,\n",
        "    show_layer_names=False,\n",
        "    rankdir=\"TB\",\n",
        "    expand_nested=False,\n",
        "    dpi=96,\n",
        ")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 166
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "809iUuWzXEfu"
      },
      "source": [
        "def conf_plotter(y_true, y_pred, classes,\n",
        "                      normalize=0,\n",
        "                      title=None,\n",
        "                      cmap=plt.cm.pink_r,\n",
        "                      mode = 'train',\n",
        "                      save = 0,\n",
        "                      name = 'conf.jpg'):\n",
        "\n",
        "    # if not title:\n",
        "    #     if mode == 'train':\n",
        "    #         title = 'Normalized confusion matrix on train dataset'\n",
        "    #     if mode == 'test':\n",
        "    #         title = 'Normalized confusion matrix on test dataset'\n",
        "    #     if mode == 'prob':\n",
        "    #         title = 'Normalized confusion matrix on Non-Overlapping test dataset'\n",
        "            \n",
        "\n",
        "    from sklearn.metrics import confusion_matrix\n",
        "    \n",
        "    cm = confusion_matrix(y_true, y_pred)\n",
        "\n",
        "    if normalize:\n",
        "        cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n",
        "\n",
        "\n",
        "    fig, ax = plt.subplots(figsize=(7,7))\n",
        "    im = ax.imshow(cm, interpolation='nearest', cmap=cmap)\n",
        "    ax.figure.colorbar(im, ax=ax ,fraction=0.046, pad=0.04)\n",
        "    ax.set(xticks=np.arange(cm.shape[0]),\n",
        "           yticks=np.arange(cm.shape[1]),\n",
        "           xticklabels=classes, yticklabels=classes,\n",
        "           title=title,\n",
        "           ylabel= 'True label',\n",
        "           xlabel='Predicted label')\n",
        "    \n",
        "    for item in ([ax.title, ax.xaxis.label, ax.yaxis.label] ):\n",
        "                    \n",
        "        item.set_fontsize(12)\n",
        "     \n",
        "    for item in (ax.get_xticklabels() + ax.get_yticklabels()):\n",
        "        \n",
        "        item.set_fontsize(10)\n",
        "\n",
        "        \n",
        "                \n",
        "    plt.gca().invert_yaxis()\n",
        "    plt.setp(ax.get_xticklabels(), rotation=45, ha=\"right\",\n",
        "             rotation_mode=\"anchor\")\n",
        "\n",
        "    fmt = '.2f' if normalize else 'd'\n",
        "    thresh = cm.max() / 2.\n",
        "    for i in range(cm.shape[0]):\n",
        "        for j in range(cm.shape[1]):\n",
        "            ax.text(j, i, format(cm[i, j], fmt),\n",
        "                    ha=\"center\", va=\"center\",\n",
        "                    color=\"white\" if cm[i, j] > thresh else \"black\")\n",
        "    fig.tight_layout()\n",
        "    if save == 1:\n",
        "        plt.savefig(name)\n",
        "    return ax"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qPAX6TiXBZP-"
      },
      "source": [
        "def myprint(s):\n",
        "    with open('modelsummary.txt','w+') as f:\n",
        "        print(s, file=f)\n",
        "\n",
        "m.summary(print_fn=myprint)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "b-npLbTyZR_v",
        "outputId": "60dfa861-dc6a-4566-f28f-5669e83cee27"
      },
      "source": [
        "pred.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(486, 2)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9vkBs5p3Zr_F"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}