SLCWATrainingLoop

class SLCWATrainingLoop(negative_sampler=None, negative_sampler_kwargs=None, **kwargs)

Bases: pykeen.training.training_loop.TrainingLoop[Tuple[torch.LongTensor, torch.LongTensor, Optional[torch.BoolTensor]], pykeen.triples.instances.SLCWABatch]

A training loop that uses the stochastic local closed world assumption training approach.

[ruffinelli2020] call the sLCWA NegSamp in their work.

Initialize the training loop.

Parameters

• negative_sampler (Union[str, NegativeSampler, Type[NegativeSampler], None]) – The class, instance, or name of the negative sampler

• negative_sampler_kwargs (Optional[Mapping[str, Any]]) – Keyword arguments to pass to the negative sampler class on instantiation for every positive one

• kwargs – Additional keyword-based parameters passed to TrainingLoop.__init__