update dllib-mlflow.py
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Maciej Czajka 2022-05-11 15:23:22 +02:00
parent 09d0026265
commit 777e10f0ef

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@ -305,13 +305,13 @@ def my_main(epochs):
loss = loss_fn(y_pred, y_train.squeeze(-1)) loss = loss_fn(y_pred, y_train.squeeze(-1))
print_(loss.item()) print_(loss.item())
mlflow.log_param("loss", loss.item)
# Zero gradients # Zero gradients
optimizer.zero_grad() optimizer.zero_grad()
loss.backward() # Gradients loss.backward() # Gradients
optimizer.step() # Update optimizer.step() # Update
mlflow.log_param("loss", loss.item)
# Prediction # Prediction
x_test = Variable(torch.from_numpy(features_test_g)).float() x_test = Variable(torch.from_numpy(features_test_g)).float()
pred = model(x_test) pred = model(x_test)