code: def predict(self, X):
          
          if self._genelm_regressor is None:
              raise ValueError("SimpleELMRegressor not fitted")
  
          return self._genelm_regressor.predict(X)
docs: Predict values using the model
  
          Parameters
          ----------
          X : {array-like, sparse matrix} of shape [n_samples, n_features]
  
          Returns
          -------
          C : numpy array of shape [n_samples, n_outputs]
              Predicted values.