def _parallel_predict_regression(estimators, estimators_features, X):
 return sum((estimator.predict(X[:, features]) for (estimator, features) in zip(estimators, estimators_features)))

def _parallel_predict_regression ( estimators , estimators_features , X ) : return sum ( ( estimator . predict ( X [ : , features ] ) for ( estimator , features ) in zip ( estimators , estimators_features ) ) )
private function used to compute predictions within a job .