[人工智能]机器学习 监督学习算法

import numpy as np
import matplotlib.pyplot as plt


alpha =0.1
x = np.array([[2104,3],[1600,3],[2400,3],[1416,2],[3000,4]])
t = np.array([400,300.369,232,540])
c0 = np.random.random()
c1 = np.random.random()
c2 = np.random.random()
c = np.array([c1,c2])


epslion = 1e-4
e0 = 10
e1 = 10
e2 = 10

while e0 >= epslion  or  e1 >= epslion or e2 >= epslion:
    i = 0
    e0 = (np.sum((x[i] * c[i])) + c0 * 1 - t[i])

    e1 = e0 * x[1, i]
    e2 = e0 * x[2, i]
    c0 = c0 - alpha * e0
    c1 = c1 - alpha * e1
    c2 = c2 - alpha * e2

    i += 1



print(c0,c1,c2)