Zaktualizuj 'ml_pytorch_mlflow.py'
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@ -138,8 +138,8 @@ def my_main(epochs):
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predicted.append(float(prediction(input_, model)))
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predicted.append(float(prediction(input_, model)))
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inputss.append(input_)
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inputss.append(input_)
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inputss = pd.DataFrame(inputs, dtype=np.float64)
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inputss = pd.DataFrame(inputss, dtype=np.float64)
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inputss = inputs.to_numpy()
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inputss = inputss.to_numpy()
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MSE = mean_squared_error(expected, predicted)
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MSE = mean_squared_error(expected, predicted)
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MAE = mean_absolute_error(expected, predicted)
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MAE = mean_absolute_error(expected, predicted)
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