predict_h_uncertain
- predict_h_uncertain(model, rt_batch, num_samples=5, slice_size=None)[source]
Forward pass using left side (head) prediction for obtaining scores of all possible heads.
This method calculates the score for all possible heads for each (relation, tail) pair, as well as an uncertainty quantification.
Note
If the model has been trained with inverse relations, the task of predicting the head entities becomes the task of predicting the tail entities of the inverse triples, i.e., \(f(*,r,t)\) is predicted by means of \(f(t,r_{inv},*)\).
- Parameters
- Return type
- Returns
shape: (batch_size, num_entities) For each r-t pair, the scores for all possible heads.
This function delegates to
predict_uncertain_helper()
by usingpykeen.models.Model.score_h()
(orpykeen.models.Model.score_h_inverse()
if the model uses inverse triples) as thescore_method
.
Warning
This function sets the model to evaluation mode and all dropout layers to training mode.