dicee.eval_static_funcs

Functions

evaluate_link_prediction_performance(→ Dict)
evaluate_link_prediction_performance_with_reciprocals(...)
evaluate_link_prediction_performance_with_bpe_reciprocals(...)
evaluate_link_prediction_performance_with_bpe(model, ...)
evaluate_lp_bpe_k_vs_all(model, triples[, er_vocab, ...])

Module Contents

dicee.eval_static_funcs.evaluate_link_prediction_performance(model: dicee.knowledge_graph_embeddings.KGE, triples, er_vocab: Dict[Tuple, List], re_vocab: Dict[Tuple, List]) → Dict

Parameters:

• model

• triples

• er_vocab

• re_vocab

dicee.eval_static_funcs.evaluate_link_prediction_performance_with_reciprocals(model: dicee.knowledge_graph_embeddings.KGE, triples, er_vocab: Dict[Tuple, List])

dicee.eval_static_funcs.evaluate_link_prediction_performance_with_bpe_reciprocals(model: dicee.knowledge_graph_embeddings.KGE, within_entities: List[str], triples: List[List[str]], er_vocab: Dict[Tuple, List])

dicee.eval_static_funcs.evaluate_link_prediction_performance_with_bpe(model: dicee.knowledge_graph_embeddings.KGE, within_entities: List[str], triples: List[Tuple[str]], er_vocab: Dict[Tuple, List], re_vocab: Dict[Tuple, List])

Parameters:

• model

• triples

• within_entities

• er_vocab

• re_vocab

dicee.eval_static_funcs.evaluate_lp_bpe_k_vs_all(model, triples: List[List[str]], er_vocab=None, batch_size=None, func_triple_to_bpe_representation: Callable = None, str_to_bpe_entity_to_idx=None)