Update 'ium_zadanie6_evaluation.py'
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@ -20,7 +20,7 @@ y_predicted = model.predict(x_test, batch_size=64)
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error = mean_squared_error(y_test, y_predicted)
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with open('evaluation.txt', 'a+') as f:
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f.write('%d\n' % error)
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f.write('%f\n' % error)
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errors = np.genfromtxt('evaluation.txt')
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