最小二乘法--python实现伪代码

最小二乘法是一种常用的线性回归方法，可以用于拟合数据并预测未来的趋势。下面是最小二乘法的 Python 实现伪代码：

# 导入必要的库
import numpy as np

# 定义数据集
x = np.array([1, 2, 3, 4, 5])
y = np.array([2, 4, 5, 4, 5])

# 计算系数
n = len(x)
x_mean = np.mean(x)
y_mean = np.mean(y)
numerator = 0
denominator = 0
for i in range(n):
    numerator += (x[i] - x_mean) * (y[i] - y_mean)
    denominator += (x[i] - x_mean) ** 2
beta = numerator / denominator
alpha = y_mean - beta * x_mean

# 输出结果
print("alpha:", alpha)
print("beta:", beta)