sklearn的随机Forrest,梯度提升和神经网络参数

时间:2019-11-26 16:21:23

标签: scikit-learn neural-network random-forest

如果我们拟合一个多项式,则参数的数量与顺序有关。 sklearns random forrest的等效参数数量(不是超参数)是多少

[random forrest] [https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html]

[神经网络] [https://scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPRegressor.html]

[GradientBoostingRegressor] [https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingRegressor.html] 和一个 [GaussianProcessRegressor] [https://scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessRegressor.html]

0 个答案:

没有答案