sklearn:使用AdaBoost进行决策树回归

import numpy as np import matplotlib.pyplot as plt from sklearn.tree import DecisionTreeRegressor from sklearn.ensemble import AdaBoostRegressor # Create the dataset rng = np.random.RandomState(1) X
相关文章
相关标签/搜索