code: def predict(self, X):
          
          check_is_fitted(self, 'estimators_')
  
          X = check_array(X, dtype=DTYPE, order="C")
          score = self._decision_function(X)
          if score.shape[1] == 1:
              score = score.ravel()
  
          return score
docs: Predict risk scores.
  
          Parameters
          ----------
          X : array-like, shape = (n_samples, n_features)
              The input samples.
  
          Returns
          -------
          y : ndarray, shape = (n_samples,)
              The risk scores.