CrossEntropyLoss

class pyqit.core.CrossEntropyLoss(backend=None)

Bases: BaseLoss

Cross entropy over class probabilities.

Select it with Trainer(loss_fn="cross_entropy"). It takes the log of the model’s output directly, because models emit probabilities and F.cross_entropy would apply its own log-softmax. A one-column output is scored as binary against 0/1 labels. A (n_samples, n_classes) output is scored against integer class indices in [0, n_classes - 1].

classmethod get_test_params()

List constructor kwargs used to parametrize this class in the test suite.