最小二乘法公式 python

最小二乘法的公式在Python中可以通过以下代码实现：

import numpy as np

def least_square_method(X, y):
    X = np.hstack((np.ones((X.shape\[0\], 1)), X))  # 添加常数项
    theta = np.linalg.inv(X.T @ X) @ X.T @ y  # 最小二乘法公式
    return theta

其中，X是输入特征矩阵，y是目标变量向量。在代码中，我们首先为X添加了常数项，然后使用最小二乘法公式求解参数theta，最后返回theta作为拟合函数的系数。这个函数可以用于线性回归等问题的求解。
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