str
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@ -36,14 +36,14 @@ def prepare_train_model(learning_rate, _run):
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model.compile(
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model.compile(
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loss=tensorflow.keras.losses.BinaryCrossentropy(),
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loss=tensorflow.keras.losses.BinaryCrossentropy(),
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optimizer=tensorflow.keras.optimizers.Adam(lr=learning_rate),
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optimizer=tensorflow.keras.optimizers.Adam(learning_rate=learning_rate),
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metrics=[tensorflow.keras.metrics.BinaryAccuracy()])
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metrics=[tensorflow.keras.metrics.BinaryAccuracy()])
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history = model.fit(X_train, Y_train, epochs=2, validation_data=(X_valid, Y_valid))
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history = model.fit(X_train, Y_train, epochs=2, validation_data=(X_valid, Y_valid))
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model.save('grid-stability-dense.h5')
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model.save('grid-stability-dense.h5')
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_run['history'] = history
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_run['history'] = str(history)
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@ex.main
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@ex.main
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def my_main(learning_rate):
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def my_main(learning_rate):
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