实现:
- # -*- coding: UTF-8 -*-
- import numpy as np
- from sklearn.linear_model import Ridge
- __author__ = 'zhen'
- X = 2 * np.random.rand(100, 1)
- y = 4 + 3 * X + np.random.randn(100, 1)
- # 岭回归
- ridge_reg = Ridge(alpha=1, solver='sag')
- ridge_reg.fit(X, y)
- print("="*50)
- print(ridge_reg.predict(1.5))
- print(ridge_reg.intercept_)
- print(ridge_reg.coef_)
- print("="*50)
结果:
来源: http://www.bubuko.com/infodetail-2677136.html