机器学习（周志华）习题3.3

最新推荐文章于 2025-06-20 21:45:13 发布

CHNguoshiwushuang

最新推荐文章于 2025-06-20 21:45:13 发布

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分类专栏：机器学习作业文章标签：机器学习 tensorflow

本文链接：https://blog.youkuaiyun.com/CHNguoshiwushuang/article/details/78233770

本人菜鸟一枚，由于需要完成作业，所以尝试使用机器学习工具库去解决该题（周志华《机器学习》3.3题），主要参考别人的代码进行了改写，如有不足请多多指教！

以下附上本题代码

import tensorflow as tf
from numpy import *
import matplotlib.pyplot as plt

data = mat([[0.697,0.460,1],
        [0.774,0.376,1],
        [0.634,0.264,1],
        [0.608,0.318,1],
        [0.556,0.215,1],
        [0.403,0.237,1],
        [0.481,0.149,1],
        [0.437,0.211,1],
        [0.666,0.091,0],
        [0.243,0.267,0],
        [0.245,0.057,0],
        [0.343,0.099,0],
        [0.639,0.161,0],
        [0.657,0.198,0],
        [0.360,0.370,0],
        [0.593,0.042,0],
        [0.719,0.103,0]])
#数据类型转换
x_train = data[:,0:2].astype(float32)
y_train = data[:,2].astype(float32)
#定义计算w,b的参数
y_train = mat(y_train)
w = tf.Variable(tf.zeros([2, 1]))
b= tf.Variable(tf.zeros([1, 1]))
y = 1 / (1 + tf.exp(-(tf.matmul(x_train,