generate_corruptions_for_eval

ampligraph.evaluation.generate_corruptions_for_eval(X, entities_for_corruption, corrupt_side='s+o', table_entity_lookup_left=None, table_entity_lookup_right=None, table_reln_lookup=None)

Generate corruptions for evaluation.

Create corruptions (subject and object) for a given triple x, in compliance with the local closed world assumption (LCWA), as described in [NMTG16].

Parameters:

• X (Tensor, shape [1, 3]) – Currently, a single positive triples that will be used to create corruptions.
• entities_for_corruption (Tensor) – All the entity IDs which are to be used for generation of corruptions
• corrupt_side (string) –

  Specifies which side of the triple to corrupt:

  • ’s’: corrupt only subject.
  • ’o’: corrupt only object
  • ’s+o’: corrupt both subject and object
• table_entity_lookup_left (tf.HashTable) – Hash table of subject entities mapped to unique prime numbers
• table_entity_lookup_right (tf.HashTable) – Hash table of object entities mapped to unique prime numbers
• table_reln_lookup (tf.HashTable) – Hash table of relations mapped to unique prime numbers

Returns:

• out (Tensor, shape [n, 3]) – An array of corruptions for the triples for x.
• out_prime (Tensor, shape [n, 3]) – An array of product of prime numbers associated with corruption triples or None based on filtered or non filtered version.