Zaktualizuj 'ml_pytorch_mlflow.py'
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@ -130,10 +130,12 @@ def my_main(epochs):
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expected = []
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predicted = []
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inputs = []
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for i in range(0, len(val_ds), 1):
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input_, target = val_ds[i]
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expected.append(float(target))
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predicted.append(float(prediction(input_, model)))
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inputs.append(input_)
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MSE = mean_squared_error(expected, predicted)
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MAE = mean_absolute_error(expected, predicted)
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@ -147,7 +149,7 @@ def my_main(epochs):
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input_, target = val_ds[i]
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file.write(str(predict_single(input_, target, model)))
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print(val_ds[0])
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print(inputs)
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# input_example = val_ds[0]
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# # input_example = input_example.unsqueeze(0)
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