model.py 文件源码

def get_classifier(self, X, Y):
        """ ????????
        :param X: ????
        :param Y: ??????
        :return: ??
        """
        # rng = np.random.RandomState(1)
        clf = AdaBoostRegressor(DecisionTreeRegressor(criterion='mse'))
        clf.fit(X, Y)
        return clf