MSELoss

class MSELoss(size_average=None, reduce=None, reduction='mean')

Bases: pykeen.losses.PointwiseLoss

A module for the mean square error loss.

Note

The related torch module is torch.nn.MSELoss, but it can not be used interchangeably in PyKEEN because of the extended functionality implemented in PyKEEN’s loss functions.

Initializes internal Module state, shared by both nn.Module and ScriptModule.

Attributes Summary

synonyms

Methods Summary

forward(scores, labels)

Defines the computation performed at every call.

Attributes Documentation

synonyms: ClassVar[Optional[Set[str]]] = {'Mean Square Error Loss', 'Mean Squared Error Loss'}

Methods Documentation

forward(scores, labels)

Defines the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

Return type

FloatTensor