DistMultLiteral

class DistMultLiteral(triples_factory: TriplesNumericLiteralsFactory, embedding_dim: int = 50, input_dropout: float = 0.0, **kwargs)

Bases: LiteralModel

An implementation of the LiteralE model with the DistMult interaction from [kristiadi2018].

Initialize the model.

Parameters:

• triples_factory (TriplesNumericLiteralsFactory) – the (training) triples factory

• embedding_dim (int) – the embedding dimension

• input_dropout (float) – the input dropout, cf. DistMultCombination.__init__()

• kwargs – additional keyword-based parameters passed to LiteralModel.__init__()

Attributes Summary

hpo_default	The default strategy for optimizing the model's hyper-parameters
loss_default_kwargs	The default parameters for the default loss function class

Attributes Documentation

hpo_default: ClassVar[Mapping[str, Any]] = {'embedding_dim': {'high': 256, 'low': 16, 'q': 16, 'type': <class 'int'>}, 'input_dropout': {'high': 0.5, 'low': 0.0, 'q': 0.1, 'type': <class 'float'>}}

The default strategy for optimizing the model’s hyper-parameters

loss_default_kwargs: ClassVar[Mapping[str, Any]] = {'margin': 0.0}

The default parameters for the default loss function class