Zaktualizuj 'ml_pytorch_mlflow.py'
This commit is contained in:
parent
e5ade0a166
commit
41f8394f8f
@ -130,10 +130,12 @@ def my_main(epochs):
|
|||||||
|
|
||||||
expected = []
|
expected = []
|
||||||
predicted = []
|
predicted = []
|
||||||
|
inputs = []
|
||||||
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)))
|
||||||
|
inputs.append(input_)
|
||||||
|
|
||||||
MSE = mean_squared_error(expected, predicted)
|
MSE = mean_squared_error(expected, predicted)
|
||||||
MAE = mean_absolute_error(expected, predicted)
|
MAE = mean_absolute_error(expected, predicted)
|
||||||
@ -147,7 +149,7 @@ def my_main(epochs):
|
|||||||
input_, target = val_ds[i]
|
input_, target = val_ds[i]
|
||||||
file.write(str(predict_single(input_, target, model)))
|
file.write(str(predict_single(input_, target, model)))
|
||||||
|
|
||||||
print(val_ds[0])
|
print(inputs)
|
||||||
|
|
||||||
# input_example = val_ds[0]
|
# input_example = val_ds[0]
|
||||||
# # input_example = input_example.unsqueeze(0)
|
# # input_example = input_example.unsqueeze(0)
|
||||||
|
Loading…
Reference in New Issue
Block a user