# View more python learning tutorial on my Youtube and Youku channel!!! # Youtube video tutorial: https://www.youtube.com/channel/UCdyjiB5H8Pu7aDTNVXTTpcg # Youku video tutorial: http://i.youku.com/pythontutorial """ Please note, this code is only for python 3+. If you are using python 2+, please modify the code accordingly. """ from __future__ import print_function from sklearn import datasets from sklearn.linear_model import LinearRegression loaded_data = datasets.load_boston() data_X = loaded_data.data data_y = loaded_data.target model = LinearRegression() model.fit(data_X, data_y) print(model.predict(data_X[:4, :])) print(model.coef_) #回归系数,即x的系数 print(model.intercept_) #y轴截距,即常数值 print(model.get_params()) #模型参数,例如n_jobs等 print(model.score(data_X, data_y)) # R^2 coefficient of determination
莫烦python教程学习笔记——线性回归模型的属性
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