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Created July 13, 2022 14:19
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21_06_07 LSTM SI.ipynb
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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"accelerator": "GPU",
"colab": {
"name": "21_06_07 LSTM SI.ipynb",
"provenance": [],
"collapsed_sections": [
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"include_colab_link": true
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"kernelspec": {
"display_name": "Python 3",
"name": "python3"
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},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/brusangues/cd8e7197e6204585fdc022fa7271a9f4/21_06_07-lstm-si.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "HD5hb9Ny0xHO"
},
"source": [
"# Projeto Sistemas Inteligentes"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "EOuA7cZPEWjT"
},
"source": [
"## 0. Definição de Funções"
]
},
{
"cell_type": "code",
"metadata": {
"id": "lARF2NbJErdn",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "3084d015-7c05-4119-95bb-2860416550b1"
},
"source": [
"!pip install kapre==0.3.4\n",
"import kapre\n",
"print('Kapre: {}'.format(kapre.__version__))"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"Collecting kapre==0.3.4\n",
" Downloading https://files.pythonhosted.org/packages/5b/a3/a80d9e09b67a728c167b787917813f4d80e0ad033697f9db237030f9a454/kapre-0.3.4.tar.gz\n",
" Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
" Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
" Preparing wheel metadata ... \u001b[?25l\u001b[?25hdone\n",
"Requirement already satisfied: librosa>=0.7.2 in /usr/local/lib/python3.7/dist-packages (from kapre==0.3.4) (0.8.1)\n",
"Requirement already satisfied: numpy>=1.18.5 in /usr/local/lib/python3.7/dist-packages (from kapre==0.3.4) (1.19.5)\n",
"Requirement already satisfied: tensorflow>=2.0 in /usr/local/lib/python3.7/dist-packages (from kapre==0.3.4) (2.5.0)\n",
"Requirement already satisfied: resampy>=0.2.2 in /usr/local/lib/python3.7/dist-packages (from librosa>=0.7.2->kapre==0.3.4) (0.2.2)\n",
"Requirement already satisfied: scikit-learn!=0.19.0,>=0.14.0 in /usr/local/lib/python3.7/dist-packages (from librosa>=0.7.2->kapre==0.3.4) (0.22.2.post1)\n",
"Requirement already satisfied: scipy>=1.0.0 in /usr/local/lib/python3.7/dist-packages (from librosa>=0.7.2->kapre==0.3.4) (1.4.1)\n",
"Requirement already satisfied: joblib>=0.14 in /usr/local/lib/python3.7/dist-packages (from librosa>=0.7.2->kapre==0.3.4) (1.0.1)\n",
"Requirement already satisfied: audioread>=2.0.0 in /usr/local/lib/python3.7/dist-packages (from librosa>=0.7.2->kapre==0.3.4) (2.1.9)\n",
"Requirement already satisfied: soundfile>=0.10.2 in /usr/local/lib/python3.7/dist-packages (from librosa>=0.7.2->kapre==0.3.4) (0.10.3.post1)\n",
"Requirement already satisfied: numba>=0.43.0 in /usr/local/lib/python3.7/dist-packages (from librosa>=0.7.2->kapre==0.3.4) (0.51.2)\n",
"Requirement already satisfied: decorator>=3.0.0 in /usr/local/lib/python3.7/dist-packages (from librosa>=0.7.2->kapre==0.3.4) (4.4.2)\n",
"Requirement already satisfied: pooch>=1.0 in /usr/local/lib/python3.7/dist-packages (from librosa>=0.7.2->kapre==0.3.4) (1.4.0)\n",
"Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.7/dist-packages (from librosa>=0.7.2->kapre==0.3.4) (20.9)\n",
"Requirement already satisfied: termcolor~=1.1.0 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=2.0->kapre==0.3.4) (1.1.0)\n",
"Requirement already satisfied: tensorboard~=2.5 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=2.0->kapre==0.3.4) (2.5.0)\n",
"Requirement already satisfied: keras-nightly~=2.5.0.dev in /usr/local/lib/python3.7/dist-packages (from tensorflow>=2.0->kapre==0.3.4) (2.5.0.dev2021032900)\n",
"Requirement already satisfied: gast==0.4.0 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=2.0->kapre==0.3.4) (0.4.0)\n",
"Requirement already satisfied: grpcio~=1.34.0 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=2.0->kapre==0.3.4) (1.34.1)\n",
"Requirement already satisfied: tensorflow-estimator<2.6.0,>=2.5.0rc0 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=2.0->kapre==0.3.4) (2.5.0)\n",
"Requirement already satisfied: absl-py~=0.10 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=2.0->kapre==0.3.4) (0.12.0)\n",
"Requirement already satisfied: opt-einsum~=3.3.0 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=2.0->kapre==0.3.4) (3.3.0)\n",
"Requirement already satisfied: h5py~=3.1.0 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=2.0->kapre==0.3.4) (3.1.0)\n",
"Requirement already satisfied: astunparse~=1.6.3 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=2.0->kapre==0.3.4) (1.6.3)\n",
"Requirement already satisfied: protobuf>=3.9.2 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=2.0->kapre==0.3.4) (3.12.4)\n",
"Requirement already satisfied: wheel~=0.35 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=2.0->kapre==0.3.4) (0.36.2)\n",
"Requirement already satisfied: flatbuffers~=1.12.0 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=2.0->kapre==0.3.4) (1.12)\n",
"Requirement already satisfied: wrapt~=1.12.1 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=2.0->kapre==0.3.4) (1.12.1)\n",
"Requirement already satisfied: keras-preprocessing~=1.1.2 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=2.0->kapre==0.3.4) (1.1.2)\n",
"Requirement already satisfied: typing-extensions~=3.7.4 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=2.0->kapre==0.3.4) (3.7.4.3)\n",
"Requirement already satisfied: google-pasta~=0.2 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=2.0->kapre==0.3.4) (0.2.0)\n",
"Requirement already satisfied: six~=1.15.0 in /usr/local/lib/python3.7/dist-packages (from tensorflow>=2.0->kapre==0.3.4) (1.15.0)\n",
"Requirement already satisfied: cffi>=1.0 in /usr/local/lib/python3.7/dist-packages (from soundfile>=0.10.2->librosa>=0.7.2->kapre==0.3.4) (1.14.5)\n",
"Requirement already satisfied: llvmlite<0.35,>=0.34.0.dev0 in /usr/local/lib/python3.7/dist-packages (from numba>=0.43.0->librosa>=0.7.2->kapre==0.3.4) (0.34.0)\n",
"Requirement already satisfied: setuptools in /usr/local/lib/python3.7/dist-packages (from numba>=0.43.0->librosa>=0.7.2->kapre==0.3.4) (57.0.0)\n",
"Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from pooch>=1.0->librosa>=0.7.2->kapre==0.3.4) (2.23.0)\n",
"Requirement already satisfied: appdirs in /usr/local/lib/python3.7/dist-packages (from pooch>=1.0->librosa>=0.7.2->kapre==0.3.4) (1.4.4)\n",
"Requirement already satisfied: pyparsing>=2.0.2 in /usr/local/lib/python3.7/dist-packages (from packaging>=20.0->librosa>=0.7.2->kapre==0.3.4) (2.4.7)\n",
"Requirement already satisfied: werkzeug>=0.11.15 in /usr/local/lib/python3.7/dist-packages (from tensorboard~=2.5->tensorflow>=2.0->kapre==0.3.4) (1.0.1)\n",
"Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.7/dist-packages (from tensorboard~=2.5->tensorflow>=2.0->kapre==0.3.4) (3.3.4)\n",
"Requirement already satisfied: google-auth-oauthlib<0.5,>=0.4.1 in /usr/local/lib/python3.7/dist-packages (from tensorboard~=2.5->tensorflow>=2.0->kapre==0.3.4) (0.4.4)\n",
"Requirement already satisfied: tensorboard-plugin-wit>=1.6.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard~=2.5->tensorflow>=2.0->kapre==0.3.4) (1.8.0)\n",
"Requirement already satisfied: tensorboard-data-server<0.7.0,>=0.6.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard~=2.5->tensorflow>=2.0->kapre==0.3.4) (0.6.1)\n",
"Requirement already satisfied: google-auth<2,>=1.6.3 in /usr/local/lib/python3.7/dist-packages (from tensorboard~=2.5->tensorflow>=2.0->kapre==0.3.4) (1.31.0)\n",
"Requirement already satisfied: cached-property; python_version < \"3.8\" in /usr/local/lib/python3.7/dist-packages (from h5py~=3.1.0->tensorflow>=2.0->kapre==0.3.4) (1.5.2)\n",
"Requirement already satisfied: pycparser in /usr/local/lib/python3.7/dist-packages (from cffi>=1.0->soundfile>=0.10.2->librosa>=0.7.2->kapre==0.3.4) (2.20)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests->pooch>=1.0->librosa>=0.7.2->kapre==0.3.4) (2021.5.30)\n",
"Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->pooch>=1.0->librosa>=0.7.2->kapre==0.3.4) (1.24.3)\n",
"Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->pooch>=1.0->librosa>=0.7.2->kapre==0.3.4) (3.0.4)\n",
"Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->pooch>=1.0->librosa>=0.7.2->kapre==0.3.4) (2.10)\n",
"Requirement already satisfied: importlib-metadata; python_version < \"3.8\" in /usr/local/lib/python3.7/dist-packages (from markdown>=2.6.8->tensorboard~=2.5->tensorflow>=2.0->kapre==0.3.4) (4.5.0)\n",
"Requirement already satisfied: requests-oauthlib>=0.7.0 in /usr/local/lib/python3.7/dist-packages (from google-auth-oauthlib<0.5,>=0.4.1->tensorboard~=2.5->tensorflow>=2.0->kapre==0.3.4) (1.3.0)\n",
"Requirement already satisfied: cachetools<5.0,>=2.0.0 in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard~=2.5->tensorflow>=2.0->kapre==0.3.4) (4.2.2)\n",
"Requirement already satisfied: pyasn1-modules>=0.2.1 in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard~=2.5->tensorflow>=2.0->kapre==0.3.4) (0.2.8)\n",
"Requirement already satisfied: rsa<5,>=3.1.4; python_version >= \"3.6\" in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard~=2.5->tensorflow>=2.0->kapre==0.3.4) (4.7.2)\n",
"Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata; python_version < \"3.8\"->markdown>=2.6.8->tensorboard~=2.5->tensorflow>=2.0->kapre==0.3.4) (3.4.1)\n",
"Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.7/dist-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard~=2.5->tensorflow>=2.0->kapre==0.3.4) (3.1.1)\n",
"Requirement already satisfied: pyasn1<0.5.0,>=0.4.6 in /usr/local/lib/python3.7/dist-packages (from pyasn1-modules>=0.2.1->google-auth<2,>=1.6.3->tensorboard~=2.5->tensorflow>=2.0->kapre==0.3.4) (0.4.8)\n",
"Building wheels for collected packages: kapre\n",
" Building wheel for kapre (PEP 517) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for kapre: filename=kapre-0.3.4-cp37-none-any.whl size=20613 sha256=f09fbe59cdae088261c8d22549328619baaacc1b7e5d252dfcb47929a8c49373\n",
" Stored in directory: /root/.cache/pip/wheels/f8/9e/dc/cc6f4989c58eee2913abac4fab60723ff91aa2a06c6de4280f\n",
"Successfully built kapre\n",
"Installing collected packages: kapre\n",
" Found existing installation: kapre 0.3.5\n",
" Uninstalling kapre-0.3.5:\n",
" Successfully uninstalled kapre-0.3.5\n",
"Successfully installed kapre-0.3.4\n",
"Kapre: 0.3.4\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "xV2a9Fa3ExH8"
},
"source": [
"# Importações\n",
"from tensorflow.keras import Sequential\n",
"from tensorflow.keras.layers import Dense, Bidirectional, LSTM, Dropout, AveragePooling1D, Lambda, LayerNormalization, BatchNormalization, Activation\n",
"\n",
"from kapre.time_frequency import STFT, Magnitude, MagnitudeToDecibel, ApplyFilterbank\n",
"from kapre.signal import LogmelToMFCC"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "7WYQBWR6Eg3n"
},
"source": [
"# Definindo função para visualização do treinamento\n",
"def plot_history(history):\n",
"\n",
" # summarize history for accuracy\n",
" fig = plt.figure(figsize=(26,6))\n",
"\n",
" plt.subplot(151)\n",
" plt.plot(history.history['accuracy'])\n",
" plt.plot(history.history['val_accuracy'])\n",
" plt.title('model accuracy')\n",
" plt.ylabel('accuracy')\n",
" plt.ylim(0.2,1.0)\n",
" plt.xlabel('epoch')\n",
" plt.legend(['train', 'test'], loc='upper left')\n",
" plt.text(0, .21, 'val_accuracy@end: {:0.2f}'.format(history.history['val_accuracy'][-1]),\n",
" horizontalalignment='left', verticalalignment='bottom')\n",
"\n",
" # summarize history for loss\n",
" plt.subplot(152)\n",
" plt.plot(history.history['loss'])\n",
" plt.plot(history.history['val_loss'])\n",
" plt.title('model loss')\n",
" plt.ylabel('loss')\n",
" plt.xlabel('epoch')\n",
" plt.legend(['train', 'test'], loc='upper left')\n",
" plt.text(0, 1, 'val_loss@end: {:0.2f}'.format(history.history['val_loss'][-1]),\n",
" horizontalalignment='left', verticalalignment='bottom')\n",
"\n",
" # summarize history for auc\n",
" plt.subplot(153)\n",
" plt.plot(history.history['auc'])\n",
" plt.plot(history.history['val_auc'])\n",
" plt.title('model auc')\n",
" plt.ylabel('auc')\n",
" plt.ylim(0.2,1.0)\n",
" plt.xlabel('epoch')\n",
" plt.legend(['train', 'test'], loc='upper left')\n",
" plt.text(0, .21, 'val_auc@end: {:0.2f}'.format(history.history['val_auc'][-1]),\n",
" horizontalalignment='left', verticalalignment='bottom')\n",
"\n",
" # summarize history for precision\n",
" plt.subplot(154)\n",
" plt.plot(history.history['precision'])\n",
" plt.plot(history.history['val_precision'])\n",
" plt.title('model precision')\n",
" plt.ylabel('precision')\n",
" plt.ylim(0.2,1.0)\n",
" plt.xlabel('epoch')\n",
" plt.legend(['train', 'test'], loc='upper left')\n",
" plt.text(0, .21, 'val_precision@end: {:0.2f}'.format(history.history['val_precision'][-1]),\n",
" horizontalalignment='left', verticalalignment='bottom')\n",
"\n",
" # summarize history for recall\n",
" plt.subplot(155)\n",
" plt.plot(history.history['recall'])\n",
" plt.plot(history.history['val_recall'])\n",
" plt.title('model recall')\n",
" plt.ylabel('recall')\n",
" plt.ylim(0.2,1.0)\n",
" plt.xlabel('epoch')\n",
" plt.legend(['train', 'test'], loc='upper left')\n",
" plt.text(0, .21, 'val_recall@end: {:0.2f}'.format(history.history['val_recall'][-1]),\n",
" horizontalalignment='left', verticalalignment='bottom')\n",
"\n",
" plt.show()\n",
" return fig"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "MxjZMM_YGm2r"
},
"source": [
"# One hot encoding\n",
"def convert_to_one_hot(Y, C):\n",
" Y = np.eye(C)[Y.reshape(-1)]\n",
" return Y"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "9iUk2Mnp6NDW"
},
"source": [
"# Confusion Matrix\n",
"import seaborn as sns\n",
"from sklearn.metrics import confusion_matrix\n",
"\n",
"def plot_cm(labels, predictions):\n",
" cm = confusion_matrix(labels, predictions)\n",
" plt.figure(figsize=(5,5))\n",
" sns.heatmap(cm, annot=True, fmt=\"d\")\n",
" plt.title('Confusion matrix')\n",
" plt.ylabel('Actual label')\n",
" plt.xlabel('Predicted label')\n",
" return cm"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "6K2BSPzUyCeU"
},
"source": [
"# Função para encontrar as classes com mais erros de classificação\n",
"def classes_com_maior_erro(M):\n",
" diagonal = []\n",
" for i in range(len(M)):\n",
" diagonal.append(M[i,i])\n",
" # Total de classes reais (soma das linhas)\n",
" histograma = []\n",
" for i in range(len(M)):\n",
" histograma.append(sum(M[i,:]))\n",
" # Diferença\n",
" diff = list(np.subtract(histograma, diagonal))\n",
" # Rankeamento das classes\n",
" indexes = [i for i in range(len(M))]\n",
" zipped_lists = zip(diff, indexes)\n",
" sorted_pairs = sorted(zipped_lists, reverse=True)\n",
" tuples = zip(*sorted_pairs)\n",
" diff_sorted, indexes = [ list(tuple) for tuple in tuples]\n",
" print(\"Índices das classes com maior número de erros e Número de classificações erradas\\n\", indexes[:10],\"\\n\", diff_sorted[:10])\n",
" return diff_sorted, indexes"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "zCmuz34T2nb-"
},
"source": [
"## 1. Dataset"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "uHFaMHfwKHdr"
},
"source": [
"Dataset baixado consiste de pastas contendo arquivos de áudio .wav e uma tabela .csv contendo as classes e os caminhos de cada arquivo.\n",
"\n",
"Nesta seção, os arquivos são lidos e salvos como numpy arrays, dentro de um dataframe do pandas, bem como suas respectivas classes.\n",
"\n",
"Para a construção do set_c_padded, utilizado para o treinamento dos modelos, foi utilizado tanto set_a (áudios de estetoscópio), quanto set_b (áudios de celular). \n",
"\n",
"Também foram geradas duas cópias dos áudios originais, com <em> Data Augmentation </em>, a fim de aumentar o número de exemplos para o treinamento dos modelos.\n",
"\n",
"O comprimento dos áudios foi ajustado seguindo a média de 75% dos comprimentos. Os áudios mais curtos que a média tiveram 0s adicionados no final, enquanto que os mais longos foram cortados."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "oKJxexoB4hMi"
},
"source": [
"### &nbsp; &nbsp; 1.1 Carregando dataset do Kaggle"
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "91Yy9RK41jA-",
"outputId": "cdc78e08-4455-4b2f-8145-2c00980ba8f4"
},
"source": [
"# Abrindo drive\n",
"from google.colab import drive\n",
"drive.mount('/content/drive')"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"Mounted at /content/drive\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"resources": {
"http://localhost:8080/nbextensions/google.colab/files.js": {
"data": "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"ok": true,
"headers": [
[
"content-type",
"application/javascript"
]
],
"status": 200,
"status_text": ""
}
},
"base_uri": "https://localhost:8080/"
},
"id": "xf4tqzMt41KA",
"outputId": "2ccecaf2-a04f-46db-eba7-a468b2c0ea35"
},
"source": [
"# Baixando arquivos do kaggle\n",
"\n",
"!pip install kaggle;\n",
"\n",
"from google.colab import files\n",
"files.upload() #enviar o arquivo kaggle.json\n",
"\n",
"#antes de importar o dataset nós iremos provisionar o local de armazenamento\n",
"!mkdir -p ~/.kaggle\n",
"!cp kaggle.json ~/.kaggle/\n",
"#Alterar a permissão para evitar o aviso durante a partida da ferramenta Kaggle\n",
"# This permissions change avoids a warning on Kaggle tool startup.\n",
"!chmod 600 ~/.kaggle/kaggle.json\n",
"\n",
"#Aceitar a competição e copiar o endereço da API para o download do dataset\n",
"!kaggle datasets download -d kinguistics/heartbeat-sounds\n",
"\n",
"#Descompactar o arquivo baixado\n",
"!unzip \\*.zip && rm *.zip\n"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"Requirement already satisfied: kaggle in /usr/local/lib/python3.6/dist-packages (1.5.10)\n",
"Requirement already satisfied: python-dateutil in /usr/local/lib/python3.6/dist-packages (from kaggle) (2.8.1)\n",
"Requirement already satisfied: six>=1.10 in /usr/local/lib/python3.6/dist-packages (from kaggle) (1.15.0)\n",
"Requirement already satisfied: urllib3 in /usr/local/lib/python3.6/dist-packages (from kaggle) (1.24.3)\n",
"Requirement already satisfied: python-slugify in /usr/local/lib/python3.6/dist-packages (from kaggle) (4.0.1)\n",
"Requirement already satisfied: tqdm in /usr/local/lib/python3.6/dist-packages (from kaggle) (4.41.1)\n",
"Requirement already satisfied: certifi in /usr/local/lib/python3.6/dist-packages (from kaggle) (2020.12.5)\n",
"Requirement already satisfied: requests in /usr/local/lib/python3.6/dist-packages (from kaggle) (2.23.0)\n",
"Requirement already satisfied: text-unidecode>=1.3 in /usr/local/lib/python3.6/dist-packages (from python-slugify->kaggle) (1.3)\n",
"Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests->kaggle) (2.10)\n",
"Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from requests->kaggle) (3.0.4)\n"
],
"name": "stdout"
},
{
"output_type": "display_data",
"data": {
"text/html": [
"\n",
" <input type=\"file\" id=\"files-1d11f26a-68cd-49fb-bde1-b2e68eccdc9f\" name=\"files[]\" multiple disabled\n",
" style=\"border:none\" />\n",
" <output id=\"result-1d11f26a-68cd-49fb-bde1-b2e68eccdc9f\">\n",
" Upload widget is only available when the cell has been executed in the\n",
" current browser session. Please rerun this cell to enable.\n",
" </output>\n",
" <script src=\"/nbextensions/google.colab/files.js\"></script> "
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "ngnBsm_YnJyR"
},
"source": [
"### &nbsp; &nbsp; 1.2 Salvando Dataset set_b"
]
},
{
"cell_type": "code",
"metadata": {
"id": "TzqXVVhK2ABV"
},
"source": [
"# Alterando diretório de trabalho se necessário\n",
"\n",
"import os\n",
"\n",
"print(os.getcwd()) # diretório de trabalho atual\n",
"os.chdir(\"/content\") # mudança de diretório de trabalho\n",
"print(os.getcwd())"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "6R-IQlq7OXLE"
},
"source": [
"# Importando .csv contendo os nomes e caminhos dos áudios como dataframe do pandas\n",
"import pandas as pd\n",
"import re\n",
"\n",
"# importar o arquivo\n",
"set_b = pd.read_csv(\"set_b.csv\") #aqui você deve especificar o nome do arquivo .csv que deseja importar\n",
"\n",
"set_b[\"fname\"].head"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "RfW6rvLWQllg"
},
"source": [
"# Renomeando caminhos dos áudios da tabela para os nomes corretos, utilizando Expressões Regulares\n",
"\n",
"files = os.listdir(\"set_b\")\n",
"\n",
"for i, fname in enumerate(set_b[\"fname\"]):\n",
" for file in files:\n",
" result = re.search(fname[-24:],file)\n",
" if result:\n",
" #print(result.string)\n",
" path = \"set_b/\"+result.string\n",
" set_b[\"fname\"][i] = path\n",
" break\n",
"\n",
"set_b[\"fname\"].head"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "UnsacfoISbyB"
},
"source": [
"# Abrindo arquivo de teste\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import librosa\n",
"import librosa.display\n",
"import IPython.display\n",
"import math\n",
"\n",
"v1 , sr1 = librosa.load(set_b[\"fname\"][0])\n",
"IPython.display.Audio(data=v1, rate=sr1)"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "4Zf5pzBvdanw"
},
"source": [
"# Lendo os arquivos de áudio e salvando como uma nova coluna no dataframe\n",
"\n",
"set_b[\"data\"] = set_b[\"fname\"].apply(librosa.load)\n",
"\n",
"set_b['data'], set_b['sr'] = set_b['data'].str\n",
"\n",
"set_b"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "fVuToCagXfFJ"
},
"source": [
"# Adicionando coluna com o número de amostras dos áudios\n",
"set_b[\"data_len\"] = set_b[\"data\"].apply(len)\n",
"\n",
"# Adicionando coluna com o tempo em segundos dos áudios\n",
"set_b[\"seconds\"] = set_b[\"data_len\"]/set_b[\"sr\"]\n",
"\n",
"# Gráfico para visualização do comprimento dos áudios\n",
"set_b.boxplot(\"data_len\")\n",
"\n",
"set_b[\"data_len\"].describe()"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "x6xq0k3TgEhT"
},
"source": [
"# Lendo áudio mais curto\n",
"argminn = set_b[\"data_len\"].argmin()\n",
"\n",
"IPython.display.Audio(data=set_b[\"data\"][argminn], rate=set_b[\"sr\"][argminn])"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "vpiFwf6G5tF2"
},
"source": [
"# Mostrando o dataset\n",
"set_b"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "XQnpHjkVm_ek"
},
"source": [
"### &nbsp; &nbsp; 1.3 Salvando Dataset set_a"
]
},
{
"cell_type": "code",
"metadata": {
"id": "XdGtlCxZm-2p"
},
"source": [
"# Importando .csv como dataframe do pandas\n",
"\n",
"set_a = pd.read_csv(\"set_a.csv\")"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "IeKdCkroodMR"
},
"source": [
"# Renomeando paths da tabela para o nome certo\n",
"files = os.listdir(\"set_a\")\n",
"for i, fname in enumerate(set_a[\"fname\"]):\n",
" for file in files:\n",
" result = re.search(fname[-17:],file)\n",
" if result:\n",
" #print(result.string)\n",
" path = \"set_a/\"+result.string\n",
" set_a[\"fname\"][i] = path\n",
" break\n",
" if result==None:\n",
" set_a = set_a.drop([i])\n",
" print(\"Dropped\",i)"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "_O1KedWyodMT"
},
"source": [
"# Lendo os arquivos de audio e salvando como uma nova coluna no dataframe\n",
"set_a[\"data\"] = set_a[\"fname\"].apply(librosa.load)\n",
"\n",
"set_a['data'], set_a['sr'] = set_a['data'].str\n",
"\n",
"set_a"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "4c0_nKMyodMT"
},
"source": [
"# Adicionando coluna com o número de amostras dos áudios\n",
"set_a[\"data_len\"] = set_a[\"data\"].apply(len)\n",
"# Adicionando coluna com o tempo em segundos dos áudios\n",
"set_a[\"seconds\"] = set_a[\"data_len\"]/set_a[\"sr\"]\n",
"\n",
"# Gráfico para visualização do comprimento dos áudios\n",
"set_a.boxplot(\"data_len\")\n",
"\n",
"set_a[\"data_len\"].describe()"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "n0LKbPiwodMT"
},
"source": [
"# Mostrando o Dataset\n",
"set_a"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "Q1vYTmt1snnf"
},
"source": [
"### &nbsp; &nbsp; 1.4 Unindo set_a e set_b, cortando e adicionando zeros"
]
},
{
"cell_type": "code",
"metadata": {
"id": "YXTdFVDOil11"
},
"source": [
"# Concatenando set_a e set_b\n",
"\n",
"set_c = pd.concat([set_a,set_b], ignore_index=True)"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "FIu9enG8L-tT"
},
"source": [
"# Removendo set_a e set_b para liberar memória\n",
"del set_a\n",
"del set_b"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "G4zHeTz-BVUk"
},
"source": [
"# Gráfico para visualização dos comprimentos\n",
"\n",
"set_c.boxplot(\"data_len\")\n",
"\n",
"set_c[\"data_len\"].describe()"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "BbTofIGSiYo_"
},
"source": [
"# Definindo número de amostras máximo com base nos gráficos\n",
"#maxlen = int(set_c[\"data_len\"].quantile(.75))\n",
"maxlen = 212371\n",
"print(maxlen)"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "lV-SMkmjtSDt"
},
"source": [
"# Adicionando zeros no final dos audios\n",
"from tensorflow.keras.preprocessing.sequence import pad_sequences\n",
"\n",
"# Copiando\n",
"set_c_padded = set_c.copy()\n",
"\n",
"# Adicionando zeros\n",
"sequence = [ list(l) for l in set_c_padded[\"data\"]]\n",
"sequence_padded = pad_sequences( sequence , maxlen=maxlen, dtype='float32', padding='post')\n",
"\n",
"set_c_padded[\"data\"] = pd.Series(list(sequence_padded))\n",
"\n",
"# Refazendo coluna de comprimentos\n",
"set_c_padded[\"data_len\"] = set_c_padded[\"data\"].apply(len)\n",
"\n",
"# Removendo lixo\n",
"del sequence\n",
"del sequence_padded\n",
"\n",
"set_c_padded"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "KggSB55rFCmD"
},
"source": [
"### &nbsp; &nbsp; 1.5 Data Augmentation"
]
},
{
"cell_type": "code",
"metadata": {
"id": "EFZzzt8CFFYP"
},
"source": [
"# Instalando biblioteca\n",
"# https://github.com/makcedward/nlpaug\n",
"!pip install numpy requests nlpaug"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "CF0mbNP6FNTD"
},
"source": [
"# Importações\n",
"import nlpaug\n",
"nlpaug.__version__\n",
"import nlpaug.augmenter.audio as naa\n",
"from nlpaug.util.audio.visualizer import AudioVisualizer\n",
"import librosa\n",
"import librosa.display as librosa_display\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import IPython.display\n",
"\n",
"# Audio de teste\n",
"data, sr = set_c_padded[\"data\"][50], set_c_padded[\"sr\"][50]\n",
"IPython.display.Audio(data=data, rate=sr)"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "JFKVYuYoFbWy"
},
"source": [
"# Adicionando ruído branco\n",
"noise_aug = naa.NoiseAug(zone=(0,1), color=\"white\")\n",
"augmented_data = noise_aug.augment(data)\n",
"\n",
"librosa_display.waveplot(data, sr=sr, color='b',alpha=0.5)\n",
"librosa_display.waveplot(augmented_data, sr=sr, color='r', alpha=0.25)\n",
"\n",
"\n",
"plt.tight_layout()\n",
"plt.title(\"Ruído Branco\")\n",
"\n",
"plt.show()\n",
"\n",
"IPython.display.Audio(data=augmented_data, rate=sr)"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "AaM2DyzUFdXy"
},
"source": [
"# Alterando pitch\n",
"pitch_aug = naa.PitchAug(sampling_rate=sr, factor=(2,3), zone=(0,1))\n",
"augmented_data = pitch_aug.augment(data)\n",
"\n",
"librosa_display.waveplot(data, sr=sr, color='b', alpha=0.5)\n",
"librosa_display.waveplot(augmented_data, sr=sr, color='r', alpha=0.25)\n",
"\n",
"plt.tight_layout()\n",
"plt.title(\"Alteração de Tom\")\n",
"plt.show()\n",
"\n",
"IPython.display.Audio(data=augmented_data, rate=sr)"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "2IjaJRUjjQCw"
},
"source": [
"# Deslocando audio\n",
"# np.random.random()\n",
"shift_aug = naa.ShiftAug(sampling_rate=sr, duration=1, direction='right')\n",
"augmented_data = shift_aug.augment(data)\n",
"augmented_data = shift_aug.augment(data)\n",
"\n",
"librosa_display.waveplot(data, sr=sr, color='b', alpha=0.5)\n",
"librosa_display.waveplot(augmented_data, sr=sr, color='r', alpha=0.25)\n",
"\n",
"plt.tight_layout()\n",
"plt.title(\"Deslocamento\")\n",
"plt.show()\n",
"\n",
"IPython.display.Audio(data=augmented_data, rate=sr)"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "NIC77XfnJIEd"
},
"source": [
"# Adicionando 2 colunas novas no dataset\n",
"set_c_padded[\"data_noise\"] = set_c_padded[\"data\"].apply(noise_aug.augment)\n",
"set_c_padded[\"data_pitch\"] = set_c_padded[\"data\"].apply(pitch_aug.augment)\n",
"\n",
"set_c_padded[[\"data\",\"data_noise\", \"data_pitch\"]]"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "ZHnoq5GjM1B8"
},
"source": [
"# Conferindo resultados\n",
"sr = set_c_padded[\"sr\"][50]\n",
"data = set_c_padded[\"data\"][50]\n",
"augmented_data = set_c_padded[\"data_noise\"][50]\n",
"augmented_data2 = set_c_padded[\"data_pitch\"][50]\n",
"\n",
"librosa_display.waveplot(data, sr=sr, alpha=1)\n",
"librosa_display.waveplot(augmented_data, sr=sr, color='r', alpha=0.5)\n",
"librosa_display.waveplot(augmented_data2, sr=sr, color='g', alpha=0.25)\n",
"\n",
"plt.tight_layout()\n",
"plt.show()"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "oHrbkj1zOpO1"
},
"source": [
"### &nbsp; &nbsp; 1.6 Histograma de Classes"
]
},
{
"cell_type": "code",
"metadata": {
"id": "N4akESRwOsD9"
},
"source": [
"# Substituindo ausência de label por \"unlabeled\"\n",
"set_c_padded[\"label\"] = set_c_padded[\"label\"].replace(np.nan, \"unlabeled\")\n",
"\n",
"# Salvando coluna de labels numéricas\n",
"cat = pd.Categorical(set_c_padded[\"label\"], categories=['artifact', 'extrahls', 'extrastole', 'normal', 'unlabeled'])\n",
"set_c_padded[\"label_num\"] = pd.factorize(set_c_padded[\"label\"])[0]\n",
"del cat\n",
"\n",
"set_c_padded[\"label_num\"].unique()"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "WkGDBR0yWh5P"
},
"source": [
"# Organizando para número 5 representar 'unlabeled'\n",
"\n",
"set_c_padded[\"label_num\"] = set_c_padded[\"label_num\"].replace(4, -1)\n",
"set_c_padded[\"label_num\"] = set_c_padded[\"label_num\"].replace(5, 4)\n",
"set_c_padded[\"label_num\"] = set_c_padded[\"label_num\"].replace(-1, 5)"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "tUGHY7SCTC85"
},
"source": [
"# Histograma de classes\n",
"set_c_padded[\"label\"].hist()"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "U_o3_qrHTiiA"
},
"source": [
"# Conferindo histograma de classes numéricas\n",
"set_c_padded[\"label_num\"].hist()\n",
"\n",
"print(\"Classe 0 = 'artifact'\")\n",
"print(\"Classe 1 = 'extrahls'\")\n",
"print(\"Classe 2 = 'murmur'\")\n",
"print(\"Classe 3 = 'normal'\")\n",
"print(\"Classe 4 = 'extrastole'\")\n",
"print(\"Classe 5 = 'unlabeled'\")"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "Xv3IXSIAR1CE"
},
"source": [
"### &nbsp; &nbsp; 1.7 Salvando arquivo set_c_padded"
]
},
{
"cell_type": "code",
"metadata": {
"id": "-f9LVb1FR-o6"
},
"source": [
"from google.colab import drive\n",
"drive.mount('/content/drive')\n",
"path_bruno = \"/content/drive/MyDrive/UFABC2019/\""
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "0lRYc3_bR3sa"
},
"source": [
"# Salvando\n",
"# set_c_padded.to_pickle(path_bruno+\"Sistemas Inteligentes /Projeto/set_c_padded.csv\")\n",
"\n",
"# Lendo\n",
"#set_c_padded_ = pd.read_pickle(path_bruno+\"Sistemas Inteligentes /Projeto/set_c_padded.csv\")\n",
"\n",
"# Testando\n",
"#set_c_padded.equals(set_c_padded_)"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "mVk_782Pw4nm"
},
"source": [
"### &nbsp; &nbsp; 1.8b Diminuindo Sampling Rate dos audios"
]
},
{
"cell_type": "code",
"metadata": {
"id": "Z1rLVOuOxMKT"
},
"source": [
"# Testando com 1 audio\n",
"# audio1 = set_c_padded[\"data\"][0]\n",
"# sr_original = 22050\n",
"# sr_target = 2000\n",
"\n",
"# audio2 = librosa.resample(audio1, sr_original, sr_target)\n",
"# audio2.shape"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "ghZA6qsOw_cL"
},
"source": [
"import librosa \n",
"# Alterando sampling rate\n",
"sr_original = 22050\n",
"sr_target = 8000\n",
"\n",
"set_c_padded[\"data\"] = set_c_padded[\"data\"].apply(lambda x : librosa.resample(x, sr_original, sr_target) )\n",
"set_c_padded[\"data_noise\"] = set_c_padded[\"data_noise\"].apply(lambda x : librosa.resample(x, sr_original, sr_target))\n",
"set_c_padded[\"data_pitch\"] = set_c_padded[\"data_pitch\"].apply(lambda x : librosa.resample(x, sr_original, sr_target))\n",
"\n",
"#librosa.resample(y, orig_sr, target_sr, res_type='kaiser_best', fix=True, scale=False, **kwargs)["
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "o-eqs4wOq1Xp"
},
"source": [
"# Ouvindo\n",
"sr_original = 22050\n",
"sr_target = 8000\n",
"x = set_c_padded[\"data\"][0]\n",
"y = librosa.resample(x, sr_original, sr_target)\n",
"\n",
"IPython.display.Audio(data=y, rate=sr_target)"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "st9fXO0Rn-wB"
},
"source": [
"# Salvando\n",
"\n",
"# Salvando\n",
"#set_c_padded.to_pickle(path_bruno+\"Sistemas Inteligentes /Projeto/set_c_padded_8000sr.csv\")"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "Jyschwnwm9ah"
},
"source": [
"### &nbsp; &nbsp; 1.8c Deslocando audios"
]
},
{
"cell_type": "code",
"metadata": {
"id": "SRalxQq7nCYB"
},
"source": [
"# Deslocando audio\n",
"# np.random.random()\n",
"shift_aug = naa.ShiftAug(sampling_rate=sr, duration=2, direction='right')\n",
"augmented_data = shift_aug.augment(data)\n",
"augmented_data = shift_aug.augment(data)\n",
"\n",
"librosa_display.waveplot(data, sr=sr, alpha=0.5)\n",
"librosa_display.waveplot(augmented_data, sr=sr, color='r', alpha=0.25)\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"\n",
"IPython.display.Audio(data=augmented_data, rate=sr)\n",
"\n",
"naa.ShiftAug(sampling_rate=sr, duration=np.random.random(), direction='right').augment(data)"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "d2zaZYVVnMod"
},
"source": [
"sr = sr_target\n",
"\n",
"set_c_padded[\"data\"] = set_c_padded[\"data\"].apply(lambda x : naa.ShiftAug(sampling_rate=sr, duration=np.random.random(), direction='right').augment(x) )\n",
"set_c_padded[\"data_noise\"] = set_c_padded[\"data_noise\"].apply(lambda x : naa.ShiftAug(sampling_rate=sr, duration=np.random.random(), direction='right').augment(x) )\n",
"set_c_padded[\"data_pitch\"] = set_c_padded[\"data_pitch\"].apply(lambda x : naa.ShiftAug(sampling_rate=sr, duration=np.random.random(), direction='right').augment(x) )\n"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "E-gw0wwPy_C5"
},
"source": [
"# Ouvindo\n",
"sr_target = 8000\n",
"x = set_c_padded[\"data\"][8]\n",
"IPython.display.Audio(data=x, rate=sr_target)\n",
"\n",
"plt.figure()\n",
"fig, ax = plt.subplots(figsize=(15, 5))\n",
"librosa.display.waveplot(x, sr=sr_target)"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "TQVOGE40nuWI"
},
"source": [
"# Salvando\n",
"# set_c_padded.to_pickle(path_bruno+\"Sistemas Inteligentes /Projeto/set_c_padded_8000sr_randomshifted.csv\")"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "ZCFwGJjXEXoG"
},
"source": [
"### &nbsp; &nbsp; 1.9 Dataset Final"
]
},
{
"cell_type": "code",
"metadata": {
"id": "QVRA25MtEbeI"
},
"source": [
"# Abrindo drive\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import librosa\n",
"\n",
"from google.colab import drive\n",
"drive.mount('/content/drive')\n",
"\n",
"# Caminhos\n",
"path_bruno = \"/content/drive/MyDrive/UFABC2019/\" # Caminho até a pasta do grupo\n",
"\n",
"# ESCOLHA O DATASET\n",
"set_c_padded = pd.read_pickle(path_bruno+\"Sistemas Inteligentes /Projeto/set_c_padded.csv\")\n",
"#set_c_padded = pd.read_pickle(path_bruno+\"Sistemas Inteligentes /Projeto/set_c_padded_randomshifted.csv\")"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "BPh54CpxEpFC"
},
"source": [
"# Dropping \"data_noise\" and \"data_pitch\"\n",
"set_c = set_c_padded.drop(columns=[\"data_noise\", \"data_pitch\"])\n",
"del set_c_padded"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "cWGTQOBhFkqL"
},
"source": [
"# Adding shifted\n",
"set_c_padded = pd.read_pickle(path_bruno+\"Sistemas Inteligentes /Projeto/set_c_padded_randomshifted.csv\")\n",
"set_c_padded = set_c_padded.drop(columns=[\"data\"])\n",
"\n",
"set_c[\"data_noise\"] = set_c_padded[\"data_noise\"]\n",
"set_c[\"data_pitch\"] = set_c_padded[\"data_pitch\"]\n",
"del set_c_padded"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "cjzoYs55FGeS"
},
"source": [
"# Adicionando coluna com o número de amostras dos áudios\n",
"set_c[\"data_len\"] = set_c[\"data\"].apply(len)\n",
"\n",
"# Adicionando coluna com o tempo em segundos dos áudios\n",
"set_c[\"seconds\"] = set_c[\"data_len\"]/set_c[\"sr\"]"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "KLtwIrLtHSXL"
},
"source": [
"# Salvando\n",
"set_c.to_pickle(path_bruno+\"set_c_final.csv\")"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "ETiB5SJ0hoXO"
},
"source": [
"## 2. Keras"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "NKBKNVUEnNyj"
},
"source": [
"Nesta etapa, os dados de treino e teste são separados e formatados para trabalhar com o classificador.\n",
"\n",
"Posteriormente, as camadas e hiperparâmetros do modelo são definidas. O modelo inicial é treinado e avaliado, e é feita validação cruzada."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "xK0I8dIY4vQF"
},
"source": [
"### &nbsp; &nbsp; 2.1 Lendo dataset no colabs"
]
},
{
"cell_type": "code",
"metadata": {
"id": "vbzMzo7U6mJW",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "c71b3441-d1d2-4e6a-9bff-1c496b857bcf"
},
"source": [
"# Abrindo drive\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import librosa\n",
"\n",
"from google.colab import drive\n",
"drive.mount('/content/drive')"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"Mounted at /content/drive\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "nlC0IcWY6Hqv"
},
"source": [
"# Caminhos\n",
"path_bruno = \"/content/drive/MyDrive/yolov3/\" # Caminho até a pasta do grupo\n",
"\n",
"set_c_padded = pd.read_pickle(path_bruno+\"set_c_final.csv\")"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 781
},
"id": "jStEMVDQkq5H",
"outputId": "0cbe3b72-4994-438f-b454-35ca6faae288"
},
"source": [
"set_c_padded"
],
"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>dataset</th>\n",
" <th>fname</th>\n",
" <th>label</th>\n",
" <th>sublabel</th>\n",
" <th>data</th>\n",
" <th>sr</th>\n",
" <th>data_len</th>\n",
" <th>seconds</th>\n",
" <th>label_num</th>\n",
" <th>data_noise</th>\n",
" <th>data_pitch</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>a</td>\n",
" <td>set_a/artifact__201012172012.wav</td>\n",
" <td>artifact</td>\n",
" <td>NaN</td>\n",
" <td>[2.2960085e-05, -0.00012982322, -0.00018070513...</td>\n",
" <td>22050</td>\n",
" <td>212371</td>\n",
" <td>9.631338</td>\n",
" <td>0</td>\n",
" <td>[-0.002212485, -0.0024372332, 0.0013950998, 6....</td>\n",
" <td>[-4.7092668e-05, -9.3357994e-05, 1.4651575e-05...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>a</td>\n",
" <td>set_a/artifact__201105040918.wav</td>\n",
" <td>artifact</td>\n",
" <td>NaN</td>\n",
" <td>[-1.0927635e-05, 1.0574424e-06, 2.108567e-06, ...</td>\n",
" <td>22050</td>\n",
" <td>212371</td>\n",
" <td>9.631338</td>\n",
" <td>0</td>\n",
" <td>[0.00020775499, -0.0029783912, 0.0006212267, 0...</td>\n",
" <td>[-3.293091e-07, -2.9207438e-06, 2.4040621e-06,...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>a</td>\n",
" <td>set_a/artifact__201105041959.wav</td>\n",
" <td>artifact</td>\n",
" <td>NaN</td>\n",
" <td>[3.728857e-05, -0.0001664555, -7.4023155e-05, ...</td>\n",
" <td>22050</td>\n",
" <td>212371</td>\n",
" <td>9.631338</td>\n",
" <td>0</td>\n",
" <td>[0.0015685743, 0.0019758996, 0.0009002672, 0.0...</td>\n",
" <td>[-0.00011461778, 0.00024715273, 0.00013337714,...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>a</td>\n",
" <td>set_a/artifact__201105051017.wav</td>\n",
" <td>artifact</td>\n",
" <td>NaN</td>\n",
" <td>[-0.0027429417, -0.0066496185, -0.0049779303, ...</td>\n",
" <td>22050</td>\n",
" <td>212371</td>\n",
" <td>9.631338</td>\n",
" <td>0</td>\n",
" <td>[-0.021266324, -0.01372272, -0.019459598, -0.0...</td>\n",
" <td>[-0.0063667204, 0.0010955408, 0.0017305326, -0...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>a</td>\n",
" <td>set_a/artifact__201105060108.wav</td>\n",
" <td>artifact</td>\n",
" <td>NaN</td>\n",
" <td>[0.000106223946, 0.0015002153, 0.0097254915, 0...</td>\n",
" <td>22050</td>\n",
" <td>212371</td>\n",
" <td>9.631338</td>\n",
" <td>0</td>\n",
" <td>[0.011898238, 0.008630662, 0.008759724, 0.0123...</td>\n",
" <td>[0.00025012586, -0.0018425044, -0.003926422, -...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>826</th>\n",
" <td>b</td>\n",
" <td>set_b/normal_noisynormal_284_1311168471850_A.wav</td>\n",
" <td>normal</td>\n",
" <td>noisynormal</td>\n",
" <td>[-0.020858925, -0.014315986, -0.0066397246, 0....</td>\n",
" <td>22050</td>\n",
" <td>212371</td>\n",
" <td>9.631338</td>\n",
" <td>3</td>\n",
" <td>[-0.013217095, -0.01513553, -0.014661579, -0.0...</td>\n",
" <td>[-0.020013085, -0.0188436, -0.018063052, -0.01...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>827</th>\n",
" <td>b</td>\n",
" <td>set_b/normal_noisynormal_284_1311168471850_B.wav</td>\n",
" <td>normal</td>\n",
" <td>noisynormal</td>\n",
" <td>[-0.0065694507, -0.0052071023, -0.004061405, -...</td>\n",
" <td>22050</td>\n",
" <td>212371</td>\n",
" <td>9.631338</td>\n",
" <td>3</td>\n",
" <td>[-0.02021414, -0.028786091, -0.029015126, -0.0...</td>\n",
" <td>[-0.3992622, -0.39933065, -0.3987273, -0.39696...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>828</th>\n",
" <td>b</td>\n",
" <td>set_b/normal_noisynormal_285_1311169246969_C.wav</td>\n",
" <td>normal</td>\n",
" <td>noisynormal</td>\n",
" <td>[0.009974569, 0.011469088, 0.0126834605, 0.013...</td>\n",
" <td>22050</td>\n",
" <td>212371</td>\n",
" <td>9.631338</td>\n",
" <td>3</td>\n",
" <td>[-0.018535808, -0.01679826, -0.015980195, -0.0...</td>\n",
" <td>[-0.0073001715, -0.0077803074, -0.0081925765, ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>829</th>\n",
" <td>b</td>\n",
" <td>set_b/normal_noisynormal_296_1311682952647_C.wav</td>\n",
" <td>normal</td>\n",
" <td>noisynormal</td>\n",
" <td>[0.05204975, 0.04939089, 0.04613879, 0.0424701...</td>\n",
" <td>22050</td>\n",
" <td>212371</td>\n",
" <td>9.631338</td>\n",
" <td>3</td>\n",
" <td>[-0.058147456, -0.061603982, -0.06230439, -0.0...</td>\n",
" <td>[-0.02230674, -0.022859434, -0.023009898, -0.0...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>830</th>\n",
" <td>b</td>\n",
" <td>set_b/normal_noisynormal_296_1311682952647_D.wav</td>\n",
" <td>normal</td>\n",
" <td>noisynormal</td>\n",
" <td>[0.015731588, 0.01575185, 0.01580303, 0.015900...</td>\n",
" <td>22050</td>\n",
" <td>212371</td>\n",
" <td>9.631338</td>\n",
" <td>3</td>\n",
" <td>[0.030285269, 0.03634366, 0.041738886, 0.04139...</td>\n",
" <td>[-0.016402774, -0.012297814, -0.007864835, -0....</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>831 rows × 11 columns</p>\n",
"</div>"
],
"text/plain": [
" dataset ... data_pitch\n",
"0 a ... [-4.7092668e-05, -9.3357994e-05, 1.4651575e-05...\n",
"1 a ... [-3.293091e-07, -2.9207438e-06, 2.4040621e-06,...\n",
"2 a ... [-0.00011461778, 0.00024715273, 0.00013337714,...\n",
"3 a ... [-0.0063667204, 0.0010955408, 0.0017305326, -0...\n",
"4 a ... [0.00025012586, -0.0018425044, -0.003926422, -...\n",
".. ... ... ...\n",
"826 b ... [-0.020013085, -0.0188436, -0.018063052, -0.01...\n",
"827 b ... [-0.3992622, -0.39933065, -0.3987273, -0.39696...\n",
"828 b ... [-0.0073001715, -0.0077803074, -0.0081925765, ...\n",
"829 b ... [-0.02230674, -0.022859434, -0.023009898, -0.0...\n",
"830 b ... [-0.016402774, -0.012297814, -0.007864835, -0....\n",
"\n",
"[831 rows x 11 columns]"
]
},
"metadata": {
"tags": []
},
"execution_count": 9
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Y6AEeRPgt1Bh"
},
"source": [
"### &nbsp; &nbsp; 2.2 Separando Dataset"
]
},
{
"cell_type": "code",
"metadata": {
"id": "CjdeSnxvEWX2",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "55591123-2143-4ee2-de36-6a603ec731ca"
},
"source": [
"# Separando dataset normal (filtrando os exemplos não rotulados)\n",
"filter_array = set_c_padded[\"label\"]!='unlabeled'\n",
"\n",
"data = np.stack(set_c_padded[filter_array][\"data\"])\n",
"data_noise = np.stack(set_c_padded[filter_array][\"data_noise\"])\n",
"data_pitch = np.stack(set_c_padded[filter_array][\"data_pitch\"])\n",
"\n",
"target = np.array(set_c_padded[filter_array][\"label_num\"])\n",
"\n",
"print(\"data.shape\" ,data.shape )\n",
"print(\"data_noise.shape\" ,data_noise.shape)\n",
"print(\"data_pitch.shape\" ,data_pitch.shape)\n",
"print(\"target.shape\",target.shape )"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"data.shape (585, 212371)\n",
"data_noise.shape (585, 212371)\n",
"data_pitch.shape (585, 212371)\n",
"target.shape (585,)\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "s8QxuhoC-REt",
"outputId": "fe05014e-ae46-49fe-ba69-ec21f185fc5f"
},
"source": [
"# Separando dados \"puros\" para teste final\n",
"from sklearn.model_selection import train_test_split as tts\n",
"\n",
"data, data_pure, data_noise, _, data_pitch, _, target, target_pure= tts(data, data_noise, data_pitch, target, test_size=0.10, shuffle=True, random_state=1)\n",
"#data, data_pure, target, target_pure= tts(data, target, test_size=0.1, shuffle=True)\n",
"\n",
"print(\"data.shape\" ,data.shape)\n",
"print(\"data_pure.shape\" ,data_pure.shape)\n",
"print(\"data_noise.shape\" ,data_noise.shape)\n",
"print(\"data_pitch.shape\" ,data_pitch.shape)\n",
"print(\"target.shape\" ,target.shape)\n",
"print(\"target_pure.shape\",target_pure.shape)"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"data.shape (526, 212371)\n",
"data_pure.shape (59, 212371)\n",
"data_noise.shape (526, 212371)\n",
"data_pitch.shape (526, 212371)\n",
"target.shape (526,)\n",
"target_pure.shape (59,)\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "UTZ_9VKSjcHL",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "1c475210-2af4-4c25-d7f0-a001e2dd2d59"
},
"source": [
"# Adicionando colunas com Data Augmentation (filtrando os exemplos não rotulados)\n",
"filter_array = set_c_padded[\"label_num\"].isin(target)\n",
"\n",
"data = np.concatenate((data,data_noise))\n",
"data = np.concatenate((data,data_pitch))\n",
"\n",
"target = np.concatenate((target,target,target))\n",
"\n",
"print(\"data.shape\" ,data.shape )\n",
"print(\"target.shape\",target.shape)"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"data.shape (1578, 212371)\n",
"target.shape (1578,)\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "UqBUTZzMVTxI",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "3507d9b9-04bc-4306-ba14-81946ad07be4"
},
"source": [
"# Transformando em formato aceitável pelo classificador\n",
"_, datashape1 = data.shape\n",
"_, data_pureshape1 = data_pure.shape\n",
"\n",
"data = data.reshape(-1, datashape1, 1)\n",
"data_pure = data_pure.reshape(-1, data_pureshape1, 1)\n",
"\n",
"print(\"data.shape\",data.shape)\n",
"print(\"data_pure.shape\",data_pure.shape)\n",
"print(\"target.shape\",target.shape )"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"data.shape (1578, 212371, 1)\n",
"data_pure.shape (59, 212371, 1)\n",
"target.shape (1578,)\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "0LKY6mxvHkE5",
"outputId": "42baf36a-863b-4a7f-90bf-ff79de2bf72d"
},
"source": [
"# One hot encoding\n",
"print(\"target[0] before onehot:\",target[0] )\n",
"\n",
"target_oh = convert_to_one_hot(target, 5) # one hot encoding\n",
"target_pure_oh = convert_to_one_hot(target_pure, 5)\n",
"\n",
"print(\"target_oh[0] after onehot:\",target_oh[0] )\n",
"print(\"target_oh.shape\",target_oh.shape )\n",
"print(\"target_pure_oh.shape\",target_pure_oh.shape)"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"target[0] before onehot: 3\n",
"target_oh[0] after onehot: [0. 0. 0. 1. 0.]\n",
"target_oh.shape (1578, 5)\n",
"target_pure_oh.shape (59, 5)\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "Z-SbdhmYXFVd"
},
"source": [
"# Conferindo memória\n",
"#%whos"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "Tt0WD5dNW1Pz"
},
"source": [
"# Liberando memória\n",
"del set_c_padded"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "G9t16Koul6el"
},
"source": [
"### &nbsp; &nbsp; 2.3 Pre-Processing + Keras : Definição do modelo"
]
},
{
"cell_type": "code",
"metadata": {
"id": "z0HxT9mm0gUW"
},
"source": [
"# Importações\n",
"from tensorflow.keras import Sequential\n",
"from tensorflow.keras.layers import Dense, Bidirectional, LSTM, Dropout, AveragePooling1D, Lambda, LayerNormalization, BatchNormalization, Activation\n",
"from tensorflow.keras.metrics import AUC, Precision, Recall\n",
"\n",
"from kapre.time_frequency import STFT, Magnitude, MagnitudeToDecibel, ApplyFilterbank\n",
"from kapre.signal import LogmelToMFCC"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "f_vkNacBm_6x"
},
"source": [
"# Modelo\n",
"\n",
"# Definindo função para facilitar passos seguintes\n",
"def getModel(input_shape):\n",
" # Parâmetros para o MFCC\n",
" n_fft = 1024\n",
" n_hop = n_fft // 2\n",
" kwargs = {\n",
" 'sample_rate': 22050,\n",
" 'n_freq': n_fft // 2 + 1,\n",
" 'n_mels': 128,\n",
" 'f_min': 0.0,\n",
" 'f_max': 8000,\n",
" }\n",
" n_mfccs = 40\n",
"\n",
"\n",
" model = Sequential([\n",
" # Pré-processamento MFCC\n",
" STFT(n_fft=n_fft, win_length=n_fft, hop_length=n_hop, \n",
" input_shape=input_shape, name='stft-layer'),\n",
" Magnitude(),\n",
" ApplyFilterbank(type='mel', filterbank_kwargs=kwargs),\n",
" LogmelToMFCC(n_mfccs=n_mfccs, input_shape=input_shape),\n",
" Lambda(lambda x: x[:,:,:,0], input_shape=(*input_shape, 1)),\n",
"\n",
" # 3 Camadas LSTM\n",
" BatchNormalization(),\n",
" LSTM(64, return_sequences=True),\n",
" Dropout(0.2),\n",
"\n",
" BatchNormalization(),\n",
" LSTM(32, return_sequences=True),\n",
" Dropout(0.2),\n",
"\n",
" BatchNormalization(),\n",
" LSTM(16),\n",
" Dropout(0.2),\n",
"\n",
" # 2 Camadas densamente conectadas\n",
" BatchNormalization(),\n",
" Dense(64, activation='relu'),\n",
" Dense(5, activation='softmax'),\n",
" ])\n",
" model.compile(loss=\"categorical_crossentropy\", \n",
" optimizer='adam', \n",
" metrics=['accuracy', AUC(name='auc'), Precision(name='precision'), Recall(name='recall')])\n",
"\n",
" return model"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "X3CnTLRgA9Fa"
},
"source": [
"# Balanceamento - atribuindo pesos às classes\n",
"from sklearn.utils.class_weight import compute_class_weight\n",
"\n",
"def get_class_weight(y_train):\n",
" class_weight = compute_class_weight('balanced', np.unique(y_train.argmax(axis=-1)), y_train.argmax(axis=-1))\n",
" class_weight = class_weight/np.linalg.norm(class_weight)*class_weight_multiplier # tentativa 2\n",
" class_weight = class_weight+(1-class_weight.min())\n",
" class_weight = dict(enumerate(class_weight))\n",
" return class_weight"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "TPN-cU523hVK"
},
"source": [
"### &nbsp; &nbsp; 2.4 Pre-Processing + Keras : Rodando Modelo"
]
},
{
"cell_type": "code",
"metadata": {
"id": "fWFXyY-D4mcN",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "9f8c2201-deec-470c-e326-44a8a3025f9b"
},
"source": [
"# Separando dataset\n",
"from sklearn.model_selection import train_test_split as tts\n",
"\n",
"x_train, x_test, y_train, y_test = tts(data, target_oh, test_size=0.10, shuffle=True, random_state=2)\n",
"\n",
"print(x_train.shape); print(y_train.shape); print(x_test.shape); print(y_test.shape)\n",
"\n",
"input_shape = (x_train.shape[1],1)\n",
"print(\"input_shape\", input_shape)"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"(1420, 212371, 1)\n",
"(1420, 5)\n",
"(158, 212371, 1)\n",
"(158, 5)\n",
"input_shape (212371, 1)\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 327
},
"id": "vwVkH6TEchBx",
"outputId": "78a4e755-4e75-4283-c004-0c4726bd8621"
},
"source": [
"# Balanceamento - atribuindo pesos às classes\n",
"from sklearn.utils.class_weight import compute_class_weight\n",
"\n",
"def get_class_weight(y_train):\n",
" class_weight = compute_class_weight('balanced', np.unique(y_train.argmax(axis=-1)), y_train.argmax(axis=-1))\n",
" class_weight = class_weight/np.linalg.norm(class_weight)*class_weight_multiplier # tentativa 2\n",
" class_weight = class_weight+(1-class_weight.min())\n",
" class_weight = dict(enumerate(class_weight))\n",
" return class_weight\n",
"\n",
"get_class_weight(y_train)"
],
"execution_count": null,
"outputs": [
{
"output_type": "error",
"ename": "NameError",
"evalue": "ignored",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-23-0049452ac39e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mclass_weight\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 11\u001b[0;31m \u001b[0mget_class_weight\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my_train\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;32m<ipython-input-23-0049452ac39e>\u001b[0m in \u001b[0;36mget_class_weight\u001b[0;34m(y_train)\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mget_class_weight\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my_train\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mclass_weight\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcompute_class_weight\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'balanced'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munique\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my_train\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0margmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_train\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0margmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0mclass_weight\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mclass_weight\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlinalg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnorm\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclass_weight\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mclass_weight_multiplier\u001b[0m \u001b[0;31m# tentativa 2\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 7\u001b[0m \u001b[0mclass_weight\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mclass_weight\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0mclass_weight\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0mclass_weight\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclass_weight\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mNameError\u001b[0m: name 'class_weight_multiplier' is not defined"
]
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "QAaupvGsnCbJ",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "718928c5-3f6e-4816-808d-fa8861a298e8"
},
"source": [
"# Treinamento\n",
"num_epochs = 1\n",
"\n",
"model = getModel(input_shape)\n",
"\n",
"history = model.fit(x_train, y_train, epochs=num_epochs, validation_data=(x_test, y_test), class_weight=get_class_weight(y_train))"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"45/45 [==============================] - 8s 91ms/step - loss: 2.0136 - accuracy: 0.3605 - auc: 0.6744 - precision: 0.3672 - recall: 0.0178 - val_loss: 1.4196 - val_accuracy: 0.6456 - val_auc: 0.8433 - val_precision: 0.0000e+00 - val_recall: 0.0000e+00\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "hsBOLxE_J13z",
"outputId": "38f6a05e-f116-46ed-866c-2feb60f13d13"
},
"source": [
"# Visualizando o treinamento\n",
"fig = plot_history(history)"
],
"execution_count": null,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1872x432 with 5 Axes>"
]
},
"metadata": {
"tags": [],
"needs_background": "light"
}
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "lT_4iLESlrwF",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "dd4f1063-a227-43a9-ecb9-91bc77c75e9f"
},
"source": [
"# Predição\n",
"y_train_predicts = model.predict(x_train)\n",
"y_train_ = np.argmax(y_train_predicts, axis=-1)\n",
"\n",
"print(\"y_train_predicts.shape\", y_train_predicts.shape)\n",
"print(\"y_train_.shape\",y_train_.shape)\n",
"\n",
"y_test_predicts = model.predict(x_test)\n",
"y_test_ = np.argmax(y_test_predicts, axis=-1)\n",
"\n",
"y_test = np.argmax(y_test, axis=-1)\n",
"\n",
"print(\"y_test_predicts.shape\", y_test_predicts.shape)\n",
"print(\"y_test_.shape\",y_test_.shape)\n",
"\n",
"idx = 1\n",
"print(\"\\nPredição para o índice:\", idx)\n",
"print(\"Predicts:\", y_test_predicts[idx], \"\\nPredicted class:\", y_test_[idx], \"\\nReal class:\", y_test[idx])"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"y_train_predicts.shape (1420, 5)\n",
"y_train_.shape (1420,)\n",
"y_test_predicts.shape (158, 5)\n",
"y_test_.shape (158,)\n",
"\n",
"Predição para o índice: 1\n",
"Predicts: [0.12906379 0.14308207 0.22389239 0.3057591 0.19820261] \n",
"Predicted class: 3 \n",
"Real class: 2\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "TJ94Zb5YnsnN",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "84492466-7596-4c7f-cf3f-428dbcc30267"
},
"source": [
"# Métricas\n",
"from sklearn.metrics import accuracy_score, confusion_matrix\n",
"\n",
"print(\"Acurácia do conjunto de Teste:\")\n",
"print(accuracy_score(y_test, y_test_))\n",
"\n",
"print(\"\\nMatrix de confusão do conjunto de Teste:\")\n",
"M = plot_cm(y_test, y_test_)\n",
"_,_ = classes_com_maior_erro(M)"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"Acurácia do conjunto de Teste:\n",
"0.6455696202531646\n",
"\n",
"Matrix de confusão do conjunto de Teste:\n",
"Índices das classes com maior número de erros e Número de classificações erradas\n",
" [2, 4, 0, 1, 3] \n",
" [31, 12, 9, 4, 0]\n"
],
"name": "stdout"
},
{
"output_type": "display_data",
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 2 Axes>"
]
},
"metadata": {
"tags": [],
"needs_background": "light"
}
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "8lIxaQRBHMxa"
},
"source": [
"# Diagrama do modelo\n",
"\n",
"#from keras.utils.vis_utils import plot_model\n",
"#plot_model(model, show_shapes=True, show_layer_names=True)"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "feA_PRLJHMxa"
},
"source": [
"# Visualizando o modelo \n",
"#print(model.summary())"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "mg3xOUZXfSVI"
},
"source": [
"### &nbsp; &nbsp; 2.5 Cross-Validation"
]
},
{
"cell_type": "code",
"metadata": {
"id": "hjjrHJ5h0g00"
},
"source": [
"# Utilizando KFold\n",
"from keras import backend as K\n",
"import gc\n",
"from sklearn.model_selection import KFold\n",
"from sklearn.metrics import accuracy_score, confusion_matrix\n",
"\n",
"# Definindo número de Epochs\n",
"num_epochs = 100\n",
"\n",
"# Definindo o número de folds, K=10\n",
"kf = KFold(n_splits=10, random_state=seed+3, shuffle=True) \n",
"\n",
"# Criando listas para salvar as métricas\n",
"history_list = []\n",
"y_test_predicts_list = []\n",
"y_test_predclass_list = []\n",
"y_test_accuracy_list = []\n",
"y_test_confusion_list = []\n",
"\n",
"# Configurando modelo do keras\n",
"initial_weights = None\n",
"\n",
"if 'model' in globals():\n",
" del model"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "ylqIRTSQfWK4",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "b0570c00-8540-478f-a4cb-13064e0a8846"
},
"source": [
"# Rodando Validação Cruzada\n",
"\n",
"for i, (train_index, test_index) in enumerate(kf.split(data)):\n",
" print(\"\\nFOLD {}________________________\".format(i+1))\n",
"\n",
" # Dividindo os dados de acordo com as listas de índices geradas pelo kf.split()\n",
" x_train, x_test = data[train_index], data[test_index]\n",
" y_train, y_test = target_oh[train_index], target_oh[test_index]\n",
"\n",
" # Shape\n",
" print(\"x_train.shape: \",x_train.shape)\n",
" print(\"x_test.shape: \",x_test.shape)\n",
" input_shape = (x_train.shape[1],1)\n",
"\n",
" # Balanceamento - atribuindo pesos às classes\n",
" class_weight = get_class_weight(y_train)\n",
"\n",
" # Resetando modelo\n",
" K.clear_session()\n",
" gc.collect()\n",
" if 'model' not in globals(): \n",
" model = getModel(input_shape)\n",
" initial_weights = model.get_weights()\n",
" else:\n",
" model.set_weights(initial_weights)\n",
"\n",
" # Treinamento\n",
" history = model.fit(x_train, y_train, epochs=num_epochs, validation_data=(x_test, y_test), class_weight=class_weight, verbose=0)\n",
" history_list.append(history)\n",
" plot_history(history)\n",
"\n",
" # Predição\n",
" y_test_predicts = model.predict(x_test)\n",
" y_test_predicts_list.append(y_test_predicts)\n",
"\n",
" y_test_ = np.argmax(y_test_predicts, axis=-1)\n",
" y_test_predclass_list.append(y_test_)\n",
" \n",
" y_test = np.argmax(y_test, axis=-1)\n",
" \n",
" # Métricas\n",
" print(\"Acurácia do conjunto de Teste:\")\n",
" y_test_accuracy = accuracy_score(y_test, y_test_)\n",
" y_test_accuracy_list.append(y_test_accuracy)\n",
" print(y_test_accuracy)\n",
"\n",
" print(\"\\nMatrix de confusão do conjunto de Teste:\")\n",
" y_test_confusion = plot_cm(y_test, y_test_)\n",
" y_test_confusion_list.append(y_test_confusion)"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"\n",
"FOLD 1________________________\n",
"x_train.shape: (1420, 212371, 1)\n",
"x_test.shape: (158, 212371, 1)\n"
],
"name": "stdout"
},
{
"output_type": "display_data",
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1872x432 with 5 Axes>"
]
},
"metadata": {
"tags": [],
"needs_background": "light"
}
},
{
"output_type": "stream",
"text": [
"Acurácia do conjunto de Teste:\n",
"0.7341772151898734\n",
"\n",
"Matrix de confusão do conjunto de Teste:\n",
"\n",
"FOLD 2________________________\n",
"x_train.shape: (1420, 212371, 1)\n",
"x_test.shape: (158, 212371, 1)\n"
],
"name": "stdout"
},
{
"output_type": "display_data",
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 2 Axes>"
]
},
"metadata": {
"tags": [],
"needs_background": "light"
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1872x432 with 5 Axes>"
]
},
"metadata": {
"tags": [],
"needs_background": "light"
}
},
{
"output_type": "stream",
"text": [
"Acurácia do conjunto de Teste:\n",
"0.8037974683544303\n",
"\n",
"Matrix de confusão do conjunto de Teste:\n",
"\n",
"FOLD 3________________________\n",
"x_train.shape: (1420, 212371, 1)\n",
"x_test.shape: (158, 212371, 1)\n"
],
"name": "stdout"
},
{
"output_type": "display_data",
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 2 Axes>"
]
},
"metadata": {
"tags": [],
"needs_background": "light"
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1872x432 with 5 Axes>"
]
},
"metadata": {
"tags": [],
"needs_background": "light"
}
},
{
"output_type": "stream",
"text": [
"Acurácia do conjunto de Teste:\n",
"0.7468354430379747\n",
"\n",
"Matrix de confusão do conjunto de Teste:\n",
"\n",
"FOLD 4________________________\n",
"x_train.shape: (1420, 212371, 1)\n",
"x_test.shape: (158, 212371, 1)\n"
],
"name": "stdout"
},
{
"output_type": "display_data",
"data": {
"image/png": 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RshORaCjZiUgaqGYnIrKbzOwtYCOwA9ju7r3NrDUwEugKvAX0d/cP6ipDIxWLSDSqClzyd6K7H+ruvcP1a4AJ7t4DmBCu10nJTkQi4VWFLbuhHzA8/DwcOCfbwUp2IhKJIic7B8aZ2ctmNijc1s7dV4afVxHMV10ntdlFZPP2rXGHUG/f6nh03CHU24zNy+MOoV7mvr807hAaTKG1tDB5DcrYNMzdh9U47Dh3X25m+wHjzWz+Ltd2dzPL+lRzncnOzDYSZFOA6nkdPfzs7t4ij59DRNLCC5v+NUxsNZNbzWOWh/+uNrO/AkcC75pZB3dfaWYdgNXZyqjzNtbdm7t7i3BpnrHeXIlORGoq1m2smTUzs+bVn4FTgdnAU8CA8LABwOhs5eR1G2tmxwE93P0BM2sDNHf3JfmcKyLp4FWF1ezy0A74q5lBkLNGuPtzZjYdGGVmA4G3gf7ZCsmZ7MzsBqA3cCDwANAIeAQ4drfCF5E9SrEeKnb3N4FetWxfC5ycbzn51Oy+ChwGzAwvsKK6SikiUs0LbLNrKPkku62ZPR3hPbOIyC72hNfFRpnZPUArM/secDFwb3HDEpFSU8Q2u0jkTHbu/jszOwXYABwA/I+7jy96ZCJSUjzZY3fm/VDx60BTgufsXi9eOCJSqpJes8v5upiZfRd4CfgacC4w1cwuLnZgIlJavMoKWhpKPjW7K4HDwm5ezGxf4N/An4oZmIiUlj3hNnYtwThS1TaG20REdkr6bWy2d2MvDz8uAqaZ2WiCNrt+wGsNEJuISGSy1eyqHxxeHC7Vsr5/JiLpVLIPFbv7TQ0ZiIiUtpJ/qNjM2gJXAZ8FmlRvd/eTihiXiJSYqoTX7PIZqfjPwHygG3ATwcQW04sYk4iUIHcraGko+SS7fd39fmCbu//T3S8GVKsTkV3sCc/ZbQv/XWlmZwIrgNbFC0lEStGe8JzdEDNrCVwB3AG0AH5S1KhEpOSU7HN21dz96fDjeuDE4oYjIqUq6R0U2R4qvoP/TLjzCe7+46JEJCIlKenP2WXroJgBvJxlKTmnnXoCc2ZPZv7cKVx15SVxh5PTPff8jneWvsLMl/8Rdyh12qfDvlz56I0MGX8bvxx3G32+8xUAen/laH457jbue3MUXT//mZij3NVNt13HpNnP8OSkR3Zua9GqBfeMHMqYf4/inpFDad4y2YNxJ/F32b2wpaFkm11seLal4UKMRllZGbcPvZmz+n6Tz/c6kfPOO4eDD+4Rd1hZPfzw4/Q9+6K4w8iqavsORg4ZzvWn/ISbv3otJ110Oh27d2b5G0v54w9uYcFL8+IO8ROeGvkMPzx/12bngZdexLQXZtD3mP5Me2EGAy9N7vee1N/lKreCloaSz6MnBTGzg8zsZDPbu8b204t1zWyOPOIwFi9+iyVLlrJt2zZGjRrN2X1PiyOUvE2ZMo0PPlgXdxhZrX9vHUvnBBPNbd60mZWLl9OqfWtWLl7OqjdXxBxd7V6eOov16zbssu3E077EU6OeBeCpUc9y0unHxxFaXpL6u7wnPGdXb2b2Y4J3aC8FZptZv4zdvyrGNXPp2Kk97yz7zx/fsuUr6dixfRyh7LH27dyW/Xt25c1ZC+MOpd5at23NmtXBYD5rVq+lddvkPl2V1N/lpN/G5jtScX19D/iCu39oZl2Bv5hZV3cfCiS7FVMK0nivJlxy10959BcPsvnDj+MOZ/cl/aGxBEprb2yZu38YHveWmZ1AkPA+RZZkZ2aDgEEAVt6SsrLoJjJbsXwVXTp33LneuVMHVqxYFVn5aVZeUc4ld/+UqX97gZljp8UdTkHef+992uy3L2tWr6XNfvvy/poP4g6pTkn9XU5rb+y7ZnZo9UqY+M4C2gCfr+skdx/m7r3dvXeUiQ5g+oxZdO/eja5du1BZWUn//v0Y8/S4SK+RVt/5zX+zctEyxt3/dO6DE2rSuCmc3T/oST67/1eYOPaFmCOqW1J/l4vZQWFm5Wb2ipk9Ha53M7NpZrbIzEaaWaNcZWQb4ml3ely/BWyvUd524FvhtIwNbseOHVw2+HqefWYE5WVlPDh8JHPnLogjlLw99NAfOP5LR9GmTWsWL3qJXw75Px58cGTcYe2iR++DOOa/vsw7897mxmdvAeCJ346gsnElF9w4kOatW3DZn67lnXlvceu3hsQcbeA3d91E72MOp1XrVoyfOZo7b7mP++94iN8Nu5mvXtCXlctW8dNB18cdZp1K8Xc5ApcB8wje4AL4DXCbuz9mZncDA4G7shVgnqNtIhzi6WqgJw04xFNFo04l1WhSXla0ju2iubD9F+MOod5mbF4edwj1Mvf9pXGHUG/bty4v6H50asevFfQ3e9SKJ7Nez8w6A8OBm4HLgb7Ae0B7d99uZkcDN7p71i7pfId4moeGeBKRLIp4G/t7gjE1q4cH3RdYF94tAiwDOuUqREM8iUgkCn3OzswGmdmMjGVQdZlmdhaw2t13+60tDfEkIpEodFR2dx8GDKtj97HA2Wb2FYJmtBbAUKCVmVWEtbvOQM72jXxqdplDPP0UuA8N8SQiNThW0JK1TPdr3b2zu3cFvgE87+4XAhOBc8PDBpDHRGAa4klEIlHVsF2KVwOPmdkQ4BXg/lwn5DPhzgPU8nBx2HYnIgJAVZFfjnL3ScCk8PObwJH1OT+fNrvMJ0WbAF8laLcTEdkp1y1p3PK5jX0ic93MHgWmFC0iESlJCZ82tqCBAHoA+0UdiIiUtpKv2ZnZRnZts1tF0DgoIrJTydfs3D3Z41OLSCIkPdnlfM7OzCbks01E0q0Yz9lFKdt4dk2AvYA2ZrYP/xmHrgV5vIcmIumS8Gljs97Gfh8YDHQkGL+u+kfZAPyhyHGJSIkp9nN2uyvbeHZDgaFmdqm739GAMYlICUr6mGz5vBtbZWatqlfMbB8z++8ixiQiErl8kt333H3nfH7u/gHBhDoiIjtVFbg0lHweKi43M/NwSGMzKwdyjvcuIulSZSXaZpfhOWBkxtwR3w+3iYjslPQ2u3yS3dUE0xv+MFwfD9xbtIhEpCSV/EPF7l7l7ne7+7nufi4wF1DvrIjsosoKWxpKXgMBmNlhwPlAf2AJ8GQxgxKR0lOyz9mZ2QEECe58YA0wkmDqRY1WLCKfUMptdvOBF4Cz3H0RgJk12NwTzRo1yX1QgjRv1DTuEOpt5OoZcYdQb+uWPh93CPXSav/0TMSX9NfFsrXZfQ1YCUw0s3vN7GRIeD1VRGKT9Ofs6kx27v43d/8GcBDBTD6Dgf3M7C4zO7WhAhSR0uAFLg0ln97YTe4+wt37EszP+AoavFNEakh6b2w+r4vt5O4fuPswdz+5WAGJSGlK+m1sIXNQiIh8QtIfKlayE5FIeMK7L+t1GysiUpdi3caaWRMze8nMXjWzOWZ2U7i9m5lNM7NFZjbSzLIOUKJkJyKRKGKb3RbgJHfvBRwKnG5mRwG/AW5z9+7AB8DAbIUo2YlIJIr16IkHPgxXK8PFgZOAv4TbhwPnZCtHyU5EEs/Mys1sFrCaYOSlxcA6d98eHrKMHBOBKdmJSCQKfc7OzAaZ2YyMZVDNst19h7sfSvCs75EELzvUi3pjRSQShT564u7DgGF5HrvOzCYCRwOtzKwirN11BpZnO1c1OxGJRBF7Y9tWT/plZk2BU4B5BK+xnhseNgAYna0c1exEJBJFfM+1AzA8nP+mDBjl7k+b2VzgMTMbQvAa6/3ZClGyE5FIFOs9V3d/DTislu1vErTf5UXJTkQiodfFRCQVSnmkYhGRvFUlPN0p2YlIJHQbKyKpkOx6nZKdiERENbuEaNy4EX8f+xiNGjeioqKc0X97jv+9eWjcYeXUokVzbrn9Jg48qDsOXHHpz5k5/dW4w6pVp04duPe+W9lvvza4Ow/86VHuvPOBuMOq1UOP/ZUnxjyHmdHjM10Z8rPLGXLrH5kzfyHuTtcunbj5uivYa6/kzRqX1O856bOLpSbZbdmylb5nfpNNmz6ioqKCseNHMn7cP5kxfVbcoWV10/9ew6QJ/+L7376cysoKmjZN3h9ftR07tvOza4cwa9Yc9t67GVP+NYbnn3+B+fMXxR3aLt59bw1//stoRv/5Hpo0bswVP/8Vf//HP7n6x4PYu1kzAH57+zBGPDGG717UP+ZoPymp33PSOyhS9brYpk0fAVBZWUFlZQXuyf4/p3nzvfniMV/g0YefAGDbtu1s2LAx5qjqtmrVe8yaNQeADz/cxBtvLKZjx/YxR1W77Tt2sGXLVrZv38HHm7fQtk3rnYnO3dm8ZQuW0JpKUr/nkp9drFBmdqSZHRF+7mlml5vZV4p1vXyUlZXxwr/HsGjJS0x8/l+8PCOZt4PVunyqE++v+YBb/zCE5yY9zi1Db6JpAm+rarP//p3p1asn0xNYc27Xtg3fPv+/6PO1b3Fivwto3mwvjv3iFwC4/uZb+XLfC1jy9jIuOPfsmCPNLUnfc9In3ClKsjOzG4DbgbvM7H+BPwDNgGvM7LpiXDMfVVVVfOmYvvQ88FgO792Lg3seEFcoeamoqOBzvQ7m4QdGcvoJX+ejjz7mksFZB2NNhGbN9mLEo3dx1VW/YOPGD3Of0MDWb9jIxBemMvbxB3h+9J/5ePMWxox9HoAh113OxNGP8OmuXXhuwuSYI80uad9zFV7Q0lCKVbM7FzgWOB64BDjH3X8JnAacV9dJmeNabd22oUihwfr1G3lh8ov06XN80a4RhZUrVrFyxbu88vLrADwzehyfP6RnzFFlV1FRwYgRdzPysb/x1OixcYdTq6kzZtGpYzta79OKyooKTv7yMcx6fe7O/eXl5ZzR58uMn/SvGKPMrhS+56QpVrLbHg629xGw2N03ALj7x2SpuYZz0vZ2996NKltEGtC+bVrTsmVzAJo0acyJJx3HggWLI71G1N5bvZYVy1fx6e5dATjuy0ex8I1kx3zXXb/hjTcWcccdWQegiFWHdm15bfZ8Pt68GXdn2oxZfPpTXVi6bAUQtNlNnDKVbp/qHHOkdUvi95z0Nrti9cZuNbO9wmT3heqNZtaSmB7Had+uLXcPu4Wy8nLKysr465PPMPa5iXGEUi8/v/pX3HHPb2jUqJK333qHK37087hDqtPRR/fmggv/i9mvz+PFqc8CcOMNv2Xs2EnxBlbDIZ89iFNOPI7+37mU8vJyDjrgM3y93xlc/ONr2bTpI9ydA7t34+dX/ijuUGuV1O856c/ZWTF6JM2ssbtvqWV7G6CDu7+eq4yWe38m2V2lNTRvVBodB5k+2Bx/O099rVv6fNwh1Eur/U+KO4R62/TRWwX1Q1/e9RsF/c3e+tZjDdLvXZSaXW2JLty+BlhTjGuKSLySXjtJzUPFIlJcSb+NVbITkUh4wut2SnYiEgnV7EQkFZL+bqySnYhEItmpTslORCKimp2IpILa7EQkFZLeG5uq8exEpHiKNcSTmXUxs4lmNtfM5pjZZeH21mY23swWhv/uk60cJTsRiYQX+L88bAeucPeewFHAJWbWE7gGmODuPYAJ4XqdlOxEJBLFqtm5+0p3nxl+3gjMAzoB/YDh4WHDgXOylaM2OxGJRFWBg4qY2SBgUMamYe4+rI5juwKHAdOAdu6+Mty1CmiX7TpKdiISqzCx1ZrcMpnZ3sATwGB332AZk4S4u5tZ1myr21gRiUQxB+80s0qCRPdnd38y3PyumXUI93cAVmcrQ8lORCJRrDkoLKjC3Q/Mc/dbM3Y9BQwIPw8ARmcrR7exIhKJIj5ndyxwEfC6mVVPo/Yz4NfAKDMbCLwNZJ3kV8lORCJRrDco3H0KUNdoxifnW46SnYhEQu/GikgqJP11MSU7EYmEBgIQkVQoxkyFUVKyE5FIqM2uQJu2bo47hHoptXhLVb/DkzlxdV22bN8WdwgNRrexIpIK6qAQkVTQbayIpII6KEQkFdRmJyKpoDY7EUmFpLfZaYgnEUkF1exEJBLqoBCRVEj6baySnYhEQh0UIpIKhc4u1lCU7EQkEslOdUp2IhIRtdmJSCoo2YlIKujRExFJBdXsRCQVkv7oiV4XE5FIuHtBSy5m9iczW21mszO2tTaz8Wa2MPx3n1zlKNmJSCSq8IKWPDwInF5j2zXABHfvAePmjp0AAAmgSURBVEwI17NSshORSBSrZufuk4H3a2zuBwwPPw8HzslVjtrsRCQSDdxB0c7dV4afVwHtcp2gmp2IRMIL/J+ZDTKzGRnLoHpdN6ge5sy0qUp2p516AnNmT2b+3ClcdeUlcYeTl1KLuRTiHXzLYEbMHMGd4+/cZXvfb/flnufv4a5/3MXFP7s4pujyk8Tvucq9oMXdh7l774xlWB6Xe9fMOgCE/67OdUJqkl1ZWRm3D72Zs/p+k8/3OpHzzjuHgw/uEXdYWZVazKUS7z8e/wc//9bPd9l2yNGHcNSpR3HJ6Zfwwz4/5Il7nogputxK5XsusqeAAeHnAcDoXCc0WLIzs4ca6lq1OfKIw1i8+C2WLFnKtm3bGDVqNGf3PS3OkHIqtZhLJd7ZL81m47qNu2w786IzefzOx9m+dTsA69eujyO0vCT1ey70NjYXM3sUeBE40MyWmdlA4NfAKWa2EOgTrmdVlA4KM3uq5ibgRDNrBeDuZxfjutl07NSed5at2Lm+bPlKjjzisIYOo15KLeZSizdTx24d+eyRn2XAlQPYumUr9w25j4WvLYw7rFol9Xsu1hBP7n5+HbtOrk85xeqN7QzMBe4jaDg0oDfwf0W6nshuKa8op3nL5vyk3084oNcBXHvntVx8XLLb7ZImrW9Q9AZeBq4D1rv7JOBjd/+nu/+zrpMye2WqqjZFGtCK5avo0rnjzvXOnTqwYsWqSK8RtVKLudTizbRm5Rr+/dy/AVjw6gLcnRatW8QcVe2S+j0X2kHRUIqS7Ny9yt1vA74DXGdmfyCPWmRmr0xZWbNIY5o+Yxbdu3eja9cuVFZW0r9/P8Y8PS7Sa0St1GIutXgzTR03lUOOPgSATt06UVFZwYb3N8QcVe2S+j0Xq80uKkV9qNjdlwFfN7MzgVh/c3bs2MFlg6/n2WdGUF5WxoPDRzJ37oI4Q8qp1GIulXivuuMqDjn6EFrs04KHpj3EI7c+wriR4xh8y2DuHH8n27du59bLb407zDol9XtO+rDsltQxqCoadUpmYBKrU9v3ijuEehm36tW4Q6i37VuXWyHnfbrNYQX9zb655pWCrldfel1MRCLhXhV3CFkp2YlIJDR4p4ikQlKbxKop2YlIJFSzE5FUUM1ORFIh6Y+eKNmJSCSS/rqYkp2IREK3sSKSCuqgEJFUSHrNLjUjFYtIuqlmJyKRUG+siKRC0m9jlexEJBLqoBCRVFDNTkRSQW12IpIKeoNCRFJBNTsRSYWkt9npoWIRiUQxZxczs9PN7A0zW2Rm1xQSn2p2IhKJYtXszKwc+CNwCrAMmG5mT7n73PqUo2QnIpEo4m3skcAid38TwMweA/oB9Up2uo0VkUh4gUseOgHvZKwvC7fVS2JrdoXOXZkPMxvk7sOKVX7USi1eKL2YSy1eSF7Mhf7NmtkgYFDGpmHF+LnSWrMblPuQRCm1eKH0Yi61eKE0Y/4Edx/m7r0zlpqJbjnQJWO9c7itXtKa7ESkdEwHephZNzNrBHwDeKq+hST2NlZEBMDdt5vZj4CxQDnwJ3efU99y0prsEtPOkadSixdKL+ZSixdKM+aCuPuzwLO7U4Yl/alnEZEoqM1ORFIhVckuildOGpKZ/cnMVpvZ7LhjyYeZdTGziWY218zmmNllcceUi5k1MbOXzOzVMOab4o4pH2ZWbmavmNnTccdSKlKT7DJeOTkD6Amcb2Y9440qpweB0+MOoh62A1e4e0/gKOCSEviOtwAnuXsv4FDgdDM7KuaY8nEZMC/uIEpJapIdGa+cuPtWoPqVk8Ry98nA+3HHkS93X+nuM8PPGwn+GOv9pHtD8sCH4WpluCS6IdvMOgNnAvfFHUspSVOyi+SVE8mPmXUFDgOmxRtJbuEt4SxgNTDe3ZMe8++Bq4CquAMpJWlKdtJAzGxv4AlgsLtviDueXNx9h7sfSvBk/pFm9rm4Y6qLmZ0FrHb3l+OOpdSkKdlF8sqJZGdmlQSJ7s/u/mTc8dSHu68DJpLsdtJjgbPN7C2CppiTzOyReEMqDWlKdpG8ciJ1MzMD7gfmufutcceTDzNra2atws9NCcZMmx9vVHVz92vdvbO7dyX4HX7e3b8Zc1glITXJzt23A9WvnMwDRhXyyklDMrNHgReBA81smZkNjDumHI4FLiKobcwKl6/EHVQOHYCJZvYawX8Qx7u7HufYA+kNChFJhdTU7EQk3ZTsRCQVlOxEJBWU7EQkFZTsRCQVlOz2EGa2I3zUY7aZPW5me+1GWQ+a2bnh5/uyvcxvZieY2TEFXOMtM2uT7/Yax3yYbX8tx99oZj+tb4yyZ1Gy23N87O6HuvvngK3ADzJ3mllBo1K7+3dzTEZ8AlDvZCfS0JTs9kwvAN3DWtcLZvYUMDd84f0WM5tuZq+Z2fchePPBzP4QjvX3D2C/6oLMbJKZ9Q4/n25mM8Ox3yaEL/v/APhJWKv8UvhGwhPhNaab2bHhufua2bhwzLj7gJzT7pnZ38zs5fCcQTX23RZun2BmbcNtnzGz58JzXjCzg6L4MmXPkNY5KPZYYQ3uDOC5cNPhwOfcfUmYMNa7+xFm1hj4l5mNIxid5ECCcf7aEcy0/qca5bYF7gWOD8tq7e7vm9ndwIfu/rvwuBHAbe4+xcz2J3hj5WDgBmCKu//CzM4E8nkb5OLwGk2B6Wb2hLuvBZoBM9z9J2b2P2HZPyKYk+EH7r7QzL4I3AmcVMDXKHsgJbs9R9NwmCIIanb3E9xevuTuS8LtpwKHVLfHAS2BHsDxwKPuvgNYYWbP11L+UcDk6rLcva5x9voAPYPXZAFoEY6CcjzwtfDcZ8zsgzx+ph+b2VfDz13CWNcSDG00Mtz+CPBkeI1jgMczrt04j2tISijZ7Tk+Docp2in8o9+UuQm41N3H1jguyvdXy4Cj3H1zLbHkzcxOIEicR7v7R2Y2CWhSx+EeXnddze9ApJra7NJlLPDDcBgmzOwAM2sGTAbOC9v0OgAn1nLuVOB4M+sWnts63L4RaJ5x3Djg0uoVM6tOPpOBC8JtZwD75Ii1JfBBmOgOIqhZVisDqmunFxDcHm8AlpjZ18NrmJn1ynENSRElu3S5j6A9bqYFk/jcQ1C7/yuwMNz3EMFIK7tw9/eAQQS3jK/yn9vIMcBXqzsogB8DvcMOkLn8p1f4JoJkOYfgdnZpjlifAyrMbB7wa4JkW20TwSCbswna5H4Rbr8QGBjGN4eED7svDUujnohIKqhmJyKpoGQnIqmgZCciqaBkJyKpoGQnIqmgZCciqaBkJyKpoGQnIqnw/90cMb1JtHZQAAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 360x360 with 2 Axes>"
]
},
"metadata": {
"tags": [],
"needs_background": "light"
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1872x432 with 5 Axes>"
]
},
"metadata": {
"tags": [],
"needs_background": "light"
}
},
{
"output_type": "stream",
"text": [
"Acurácia do conjunto de Teste:\n",
"0.7974683544303798\n",
"\n",
"Matrix de confusão do conjunto de Teste:\n",
"\n",
"FOLD 5________________________\n",
"x_train.shape: (1420, 212371, 1)\n",
"x_test.shape: (158, 212371, 1)\n"
],
"name": "stdout"
},
{
"output_type": "display_data",
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 2 Axes>"
]
},
"metadata": {
"tags": [],
"needs_background": "light"
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1872x432 with 5 Axes>"
]
},
"metadata": {
"tags": [],
"needs_background": "light"
}
},
{
"output_type": "stream",
"text": [
"Acurácia do conjunto de Teste:\n",
"0.6772151898734177\n",
"\n",
"Matrix de confusão do conjunto de Teste:\n",
"\n",
"FOLD 6________________________\n",
"x_train.shape: (1420, 212371, 1)\n",
"x_test.shape: (158, 212371, 1)\n"
],
"name": "stdout"
},
{
"output_type": "display_data",
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 2 Axes>"
]
},
"metadata": {
"tags": [],
"needs_background": "light"
}
},
{
"output_type": "display_data",
"data": {
"image/png": 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