最近研究机器学习算法,属于小白,学习了“寒小阳”博主的文章(地址:http://blog.youkuaiyun.com/han_xiaoyang/article/details/49123419)后,对机器学习的逻辑回归有了个大概的认识,再借助另一位博主“ Earendil ”(地址:https://www.cnblogs.com/earendil/p/8268757.html)对于其中公式的详细推导,试着用matlab语言自己实现一遍,现与大家分享,代码如下:
clc
clear all
close all
data1 = importdata(‘data1.txt’);
%归一化
data1(:,1) = (data1(:,1)- mean(data1(:,1)))./ std(data1(:,1));
data1(:,2) = (data1(:,2)- mean(data1(:,2)))./ std(data1(:,2));
[m,n] = size(data1);
figure
for row = 1:m
if data1(row,3) == 1
plot(data1(row,1),data1(row,2),’.’);
hold on
else
plot(data1(row,1),data1(row, 2),‘x’);
hold on
end
end
%矩阵化
x0 = ones(m,1);
X = [x0,data1(:,1),data1(:,2)];
[m1,n1] = size(X);
theta = ones(n1,1);%初始化
alpha = 0.001;%步长
for
基于matlab的逻辑回归示例
最新推荐文章于 2025-03-13 14:49:50 发布