import numpy as npdef linear_regression_normal_equation(X, y): X = np.array(X) y = np.array(y) results = np.linalg.lstsq(X, y, rcond=None) theta = results[0] # 将结果转换为扁平化列表并四舍五入 final_coeffs = [round(float(c), 4) for c in theta] return final_coeffs# 测试输入X = [[1, 1], [1, 2], [1, 3]]y = [2, 2, 3]print(...
