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train.py
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train.py
@ -57,8 +57,9 @@ def train_model(data_file, model_file, epochs, batch_size, test_size, random_sta
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model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])
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model.fit(X_train, y_train, epochs=epochs, batch_size=batch_size)
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accuracy = model.evaluate(X_test, y_test)
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loss, accuracy = model.evaluate(X_test, y_test)
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print('Test accuracy:', accuracy)
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print('Test loss:', loss)
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model.save(model_file)
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