'Least squares does not need to update terminal regions.
But it has to update the predictions.'

def update_terminal_regions(self, tree, X, y, residual, y_pred, sample_weight, sample_mask, learning_rate=1.0, k=0):

    y_pred[:, k] += (learning_rate * tree.predict(X).ravel())
