DeltaPointwiseLoss

class DeltaPointwiseLoss(margin=0.0, margin_activation='softplus', reduction='mean')[source]

A generic class for delta-pointwise losses.

Pointwise Loss	Activation	Margin	Formulation	Implementation
Pointwise Hinge	ReLU	\(\lambda \neq 0\)	\(g(s, l) = \max(0, \lambda -\hat{l}*s)\)	`pykeen.losses.PointwiseHingeLoss`
Soft Pointwise Hinge	softplus	\(\lambda \neq 0\)	\(g(s, l) = \log(1+\exp(\lambda -\hat{l}*s))\)	`pykeen.losses.SoftPointwiseHingeLoss`
Pointwise Logistic (softplus)	softplus	\(\lambda = 0\)	\(g(s, l) = \log(1+\exp(-\hat{l}*s))\)	`pykeen.losses.SoftplusLoss`

Initialize the loss.

Parameters:

margin (Optional[float]) – the margin, cf. PointwiseLoss.__init__()
margin_activation (Union[str, Module, None]) – the margin activation, or a hint thereof, cf. margin_activation_resolver.
reduction (str) – the reduction, cf. PointwiseLoss.__init__()

Methods Summary

forward(logits, labels)

Calculate the loss for the given scores and labels.

Methods Documentation

forward(logits, labels)[source]

Calculate the loss for the given scores and labels.

Return type:

FloatTensor

Parameters: