Add return statement to the train function (#1135)

add a return statement to the train function in order to provide access to the losses and accuracies lists
This commit is contained in:
Mehmet Kuzucu
2023-07-05 17:13:38 +02:00
committed by GitHub
parent 981d4980c4
commit c3173ff281

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@@ -40,6 +40,7 @@ def train(model, X_train, Y_train, optim, steps, BS=128, lossfn=sparse_categoric
losses.append(loss)
accuracies.append(accuracy)
t.set_description("loss %.2f accuracy %.2f" % (loss, accuracy))
return [losses, accuracies]
def evaluate(model, X_test, Y_test, num_classes=None, BS=128, return_predict=False, transform=lambda x: x,