多元牛顿法python

以下是使用Python实现多元牛顿法的示例：

import numpy as np

class LogisticRegression(object):
    """
    Logistic Regression Classifier training by Newton Method
    """
    def __init__(self, error, max_iter):
        self.error = error
        self.max_iter = max_iter

    def hessian(self, X):
        # 计算Hesse（Hessian）矩阵
        pass

    def gradient(self, X, y):
        # 计算梯度向量
        pass

    def newton_method(self, X, y):
        # 牛顿法求极小值的迭代格式
        pass

    def dampened_newton_method(self, X, y):
        # 阻尼牛顿法（带步长的牛顿法）
        pass

# 创建LogisticRegression对象
log_reg = LogisticRegression(error=0.01, max_iter=100)