Zaktualizuj 'ml_pytorch_mlflow.py'
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@ -135,10 +135,10 @@ def my_main(epochs):
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input_, target = val_ds[i]
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input_, target = val_ds[i]
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expected.append(float(target))
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expected.append(float(target))
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predicted.append(float(prediction(input_, model)))
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predicted.append(float(prediction(input_, model)))
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input_ = pd.array(float(input_))
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input_ = pd.array(input_)
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inputs.append(input_.numpy())
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inputs.append(input_.numpy())
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inputs = pd.DataFrame(inputs)
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# inputs = pd.DataFrame(inputs)
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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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