class_docstr: Random scoring layer.
docstr: Compute scores using the transE scoring function.
  
  Parameters
  ----------
  triples: array-like, shape (n, 3)
      Batch of input triples.
  
  Returns
  -------
  scores: tf.Tensor, shape (n,1)
      Tensor of scores of inputs.
code: def _compute_scores(self, triples):
      """Compute scores using the transE scoring function.
  
      Parameters
      ----------
      triples: array-like, shape (n, 3)
          Batch of input triples.
  
      Returns
      -------
      scores: tf.Tensor, shape (n,1)
          Tensor of scores of inputs.
      """
  
      scores = tf.random.uniform(
          shape=[tf.shape(triples[0])[0]], seed=0
      )
      return scores
  
file_path: AmpliGraph/ampligraph/latent_features/layers/scoring/Random.py
imports: import tensorflow
  from .AbstractScoringLayer import register_layer, AbstractScoringLayer
label_desc: Use image node_id 3 for calling the Random obj's underlying member method code with example usage: obj._compute_scores(triples) and returns: scores