Update 'train.py'
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train.py
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train.py
@ -6,6 +6,7 @@ from keras.applications.densenet import layers
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from sklearn.model_selection import train_test_split
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from sklearn.model_selection import train_test_split
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import tensorflow
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import tensorflow
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EPOCHS = int(os.environ['EPOCHS'])
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train_data_x = pandas.read_csv('./X_train.csv')
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train_data_x = pandas.read_csv('./X_train.csv')
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@ -25,6 +26,6 @@ norm_games_model.compile(
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loss=tensorflow.keras.losses.MeanSquaredError(),
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loss=tensorflow.keras.losses.MeanSquaredError(),
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optimizer=tensorflow.keras.optimizers.Adam())
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optimizer=tensorflow.keras.optimizers.Adam())
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norm_games_model.fit(games_all, games_predict, epochs=500)
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norm_games_model.fit(games_all, games_predict, epochs=EPOCHS)
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norm_games_model.save('test')
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norm_games_model.save('test')
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