def predict(self, X):
if self._genelm_regressor is None:<EOL><INDENT>raise ValueError("<STR_LIT>")<EOL><DEDENT>return self._genelm_regressor.predict(X)<EOL>
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.