Zaktualizuj 'ml_pytorch_mlflow.py'

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Sebastian Wałęsa 2022-05-15 23:02:40 +02:00
parent bedfde2412
commit 22b7a65a17

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@ -132,14 +132,17 @@ def my_main(epochs):
expected = [] expected = []
predicted = [] predicted = []
inputss = [] inputss = []
targetss = []
for i in range(0, len(val_ds), 1): for i in range(0, len(val_ds), 1):
input_, target = val_ds[i] input_, target = val_ds[i]
expected.append(float(target)) expected.append(float(target))
predicted.append(float(prediction(input_, model))) predicted.append(float(prediction(input_, model)))
inputss.append(input_) inputss.append(input_)
inputss = pd.DataFrame(inputss, dtype=np.float64)
inputss = inputss.to_numpy() inputss, targetss = val_ds
# inputss = pd.DataFrame(inputss, dtype=np.float64)
# inputss = inputss.to_numpy()
MSE = mean_squared_error(expected, predicted) MSE = mean_squared_error(expected, predicted)
MAE = mean_absolute_error(expected, predicted) MAE = mean_absolute_error(expected, predicted)