Fisher-Yates混洗

Question

我要问的是，使用Fisher-Yates改组算法对数据集进行改组与使用np.random.permutation相比有什么区别，就像下面的代码片段一样：

X.shape[1] # number of training examples

permutation = list(np.random.permutation(m))
shuffled_X = X[:, permutation]
shuffled_Y = Y[:, permutation].reshape((1,m))