def mutual_info_regression(X, y, discrete_features='auto', n_neighbors=3, copy=True, random_state=None):
 return _estimate_mi(X, y, discrete_features, False, n_neighbors, copy, random_state)

def mutual_info_regression ( X , y , discrete_features = 'auto' , n_neighbors = 3 , copy = True , random_state = None ) : return _estimate_mi ( X , y , discrete_features , False , n_neighbors , copy , random_state )
estimate mutual information for a continuous target variable .