Evaluator

class mowl.evaluation.Evaluator(device='cpu')

Bases: object

Abstract class for evaluation of models.

Parameters:

• class_embeddings (dict or gensim.models.keyedvectors.KeyedVectors) – Embeddings dictionary for ontology classes

• testing_set (list of mowl.projection.Edge) – List of triples in the testing set.

• eval_method (callable) – Function that computes the score of the predictions

• relation_embeddings (dict or gensim.models.keyedvectors.KeyedVectors, optional) – Embeddings dictionary for ontology classes

• training_set (list of mowl.projection.Edge, optional) – List of triples in the training set. If not set, filtered metrics will not be computed

• head_entities (list of str) – Entities, that are the head of each triple, to be considered in the evaluation

• filter_fn_head (callable, optional) – Criterion to filter the head entities

• filter_fn_tail (callable, optional) – Criterion to filter the tail entities

Methods Summary

embeddings_to_dict(embeddings)
evaluate([show])
load_data()

Methods Documentation

embeddings_to_dict(embeddings)

evaluate(show=False)

load_data()