# Shuffle training data idx = np.random.permutation(len(X_train)) X_train, y_train = X_train[idx], y_train[idx]完善该代码

这段代码是用于随机打乱训练数据的顺序，其中X_train和y_train是训练数据集和标签集。你可以在代码中添加注释以帮助理解，如下所示：

# 导入numpy库
import numpy as np

# 获取训练数据集和标签集的长度
len_X_train = len(X_train)
len_y_train = len(y_train)

# 生成一个0到len_X_train-1的随机排列索引
idx = np.random.permutation(len_X_train)

# 根据生成的随机排列索引打乱X_train和y_train的顺序
X_train = X_train[idx]
y_train = y_train[idx]