Python之岭回归详解编程语言

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：

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