【发布时间】:2020-04-10 01:32:50
【问题描述】:
创建了一个线性回归模型,其中试图找到 权重(系数) 和 偏差(y-intercept),从而运行以下代码:-
reg.intercept_
reg.coef_
输出
array([9.41523946, 9.41523946])
array([[-0.44871341, 0.20903483, 0.0142496 , 0.01288174, -0.14055166,
-0.17990912, -0.06054988, -0.08992433, -0.1454692 , -0.10144383,
-0.20062984, -0.12988747, -0.16859669, -0.12149035, -0.03336798,
-0.14690868, 0.32047333],
[-0.44871341, 0.20903483, 0.0142496 , 0.01288174, -0.14055166,
-0.17990912, -0.06054988, -0.08992433, -0.1454692 , -0.10144383,
-0.20062984, -0.12988747, -0.16859669, -0.12149035, -0.03336798,
-0.14690868, 0.32047333]])
两次获得相同的值,而不是只获得一次一次,因此难以总结权重
【问题讨论】:
标签: python-3.x machine-learning regression linear-regression data-science