minor fix
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@ -47,10 +47,6 @@ def prepare_model():
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# kompilacja
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model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])
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# model fit
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epochs = int(sys.argv[1])
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batch_size = int(sys.argv[2])
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# trenowanie modelu
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model.fit(X_train, y_train, epochs=epochs, batch_size=batch_size, validation_data=(X_test, y_test))
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