tf.contrib.losses.hinge_loss

Method that returns the loss tensor for hinge loss. (deprecated)

tf.contrib.losses.hinge_loss(
    logits, labels=None, scope=None
)

Warning: THIS FUNCTION IS DEPRECATED. It will be removed after 2016-12-30. Instructions for updating: Use tf.losses.hinge_loss instead. Note that the order of the logits and labels arguments has been changed, and to stay unweighted, reduction=Reduction.NONE

Args
logits	The logits, a float tensor. Note that logits are assumed to be unbounded and 0-centered. A value > 0 (resp. < 0) is considered a positive (resp. negative) binary prediction.
labels	The ground truth output tensor. Its shape should match the shape of logits. The values of the tensor are expected to be 0.0 or 1.0. Internally the {0,1} labels are converted to {-1,1} when calculating the hinge loss.
scope	The scope for the operations performed in computing the loss.

Returns
An unweighted Tensor of same shape as logits and labels representing the loss values across the batch.

Raises
ValueError	If the shapes of logits and labels don't match.