Losses

Computes the Poisson loss between y_true and y_pred.

Computes the logarithm of the hyperbolic cosine of the prediction error.

Computes the squared hinge loss between labels and predictions.

Computes the mean squared logarithmic error between y_true and y_pred.

Computes the mean absolute percentage error between y_true and y_pred.

Computes the mean of squares of errors between labels and predictions.

Computes the mean of absolute difference between labels and predictions.

Computes the binary cross-entropy between y_true and y_pred.

Computes the Huber loss between y_true and y_pred.

Computes the hinge loss between y_true and y_pred.

Computes multidimensional sigmoid function (softmax) for outputs with logit operation.