docstr: Predict the scores of triples using a trained embedding model.
  
  The function returns raw scores generated by the model.
  
  Parameters
  ----------
  X : ndarray, shape (n, 3)
      The triples to score.
  
  Returns
  -------
  scores_predict : ndarray, shape (n)
      The predicted scores for input triples.
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code: def predict(self, X):
      """
      Predict the scores of triples using a trained embedding model.
  
      The function returns raw scores generated by the model.
  
      Parameters
      ----------
      X : ndarray, shape (n, 3)
          The triples to score.
  
      Returns
      -------
      scores_predict : ndarray, shape (n)
          The predicted scores for input triples.
      """
      return self.model.predict(X)
  
imports: import numpy
  import tensorflow
  from ampligraph.latent_features.loss_functions import get
  from ampligraph.latent_features.models import ScoringBasedEmbeddingModel
  from ampligraph.latent_features.optimizers import get
  from ampligraph.latent_features.regularizers import get
label_desc: Use image node_id 10 for calling the ScoringModelBase obj's underlying member method code with example usage: obj.predict(X) and returns: self