摘要: 实现:# -*- coding: UTF-8 -*- import numpy as npfrom sklearn.linear_model import SGDRegressor__author__ = 'zhen'X = 2 * np.random.rand(100, 1)y = 4 + 3 * X + np.random.randn(100, 1)# 梯度下降回归sgd_reg = SGDR... 阅读全文
posted @ 2018-07-08 17:33 云山之巅 阅读(4157) 评论(0) 推荐(0)
摘要: 实现:# -*- coding: UTF-8 -*-import numpy as npfrom 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... 阅读全文
posted @ 2018-07-08 17:19 云山之巅 阅读(1270) 评论(0) 推荐(0)
摘要: 实现:# -*- coding: UTF-8 -*-""" 练习使用随机梯度下降算法"""import numpy as npimport math__author__ = 'zhen'# 生成测试数据x = 2 * np.random.rand(100, 1) # 随机生成100*1的二维数组,值分别在0~2之间y = 4 + 3 * x + np.random.randn(100, 1... 阅读全文
posted @ 2018-07-08 17:10 云山之巅 阅读(2437) 评论(0) 推荐(0)