class_docstr: Abstract class for scoring layer.
docstr: Abstract function to compute subject corruption scores.
  
  Evaluate the inputs against subject corruptions and scores of the corruptions.
  
  Parameters
  -----------
  triples: array-like, shape (n, k)
      Batch of input embeddings.
  ent_matrix: array-like, shape (m, k)
      Slice of embedding matrix (corruptions).
  
  Returns
  --------
  scores: tf.Tensor, shape (n,1)
      Scores of subject corruptions (corruptions defined by `ent_embs` matrix).
code: def _get_subject_corruption_scores(self, triples, ent_matrix):
      """Abstract function to compute subject corruption scores.
  
      Evaluate the inputs against subject corruptions and scores of the corruptions.
  
      Parameters
      -----------
      triples: array-like, shape (n, k)
          Batch of input embeddings.
      ent_matrix: array-like, shape (m, k)
          Slice of embedding matrix (corruptions).
  
      Returns
      --------
      scores: tf.Tensor, shape (n,1)
          Scores of subject corruptions (corruptions defined by `ent_embs` matrix).
      """
      raise NotImplementedError("Abstract method not implemented!")
  
file_path: AmpliGraph/ampligraph/latent_features/layers/scoring/AbstractScoringLayer.py
imports: import tensorflow
label_desc: Use image node_id 6 for calling the AbstractScoringLayer obj's underlying member method code with example usage: obj._get_subject_corruption_scores(triples, ent_matrix) without return types