Machine Learning Experiment4 Logistic Regression and Newton’s Method 详解+源代码
回顾Logistic Regression的基本原理 关于sigmoid函数 极大似然与损失函数 牛顿法 实验步骤与过程 首先，读入数据并绘制原始数据散点图 根据图像，咱们能够看出，左下大多为负样本，而右上多为正样本，划分应该大体为一个斜率为负的直线。python 定义预测方程： 此处使用sigmoid函数，定义为匿名函数（由于在MATLAB中内联函数即将被淘汰）函数 定义损失函数和迭代次数
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相关文章
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