逻辑回归

最新推荐文章于 2024-07-13 09:24:46 发布

Dini_Dini

最新推荐文章于 2024-07-13 09:24:46 发布

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文章标签：深度学习

本文链接：https://blog.youkuaiyun.com/qq_44625074/article/details/113578619

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#逻辑回归
import torch
X = torch.tensor([[1,0,0],[1,1,0],[1,0,1],[1,1,1]],dtype = torch.float32)

w = torch.tensor([-0.2,0.15,0.15],dtype = torch.float32)

def LogisticR(X,w):
    zhat = torch.mv(X,w) #首先是线性回归
    sigma = torch.sigmoid(zhat)#逻辑回归
    andhat = torch.tensor([int(x) for x in sigma>=0.5], dtype = torch.float32) #列表推导式
    return sigma,andhat
sigma, andhat = LogisticR(X,w)

print(sigma)
print(andhat)