[人工智能]机器学习。监督学习

import numpy as np
import matplotlib.pyplot as plt

x = np.array([[2104, 3], [1600, 3], [2400, 3], [1416, 2], [3000, 4]])
t = np.array([400, 330, 369, 232, 540])
alpha = 0.01
theta0 = np.random.random()
theta1 = np.random.random()
theta2 = np.random.random()
theta = np.array([theta1, theta2])

eps = 1e-4
e0 = 999
e1 = 999
e2 = 999
while e0 >= eps or e1 >= eps or e2 >= eps:
    i = 0
    e0 = (np.sum((x[:, i] * theta[i])) + theta0 * 1 - t[i])
    e1 = e0 * x[i, 0]
    e2 = e0 * x[i, 1]
    theta0 = theta0 - alpha * e0
    theta1 = theta1 - alpha * e1
    theta2 = theta2 - alpha * e2
    i += 1

print(theta0, theta1, theta2)