np.random.permutation
我写信询问使用 Fisher-Yates 洗牌算法对数据集进行洗牌与使用以下代码片段相比有什么区别:
X.shape[1] # number of training examples
permutation = list(np.random.permutation(m))
shuffled_X = X[:, permutation]
shuffled_Y = Y[:, permutation].reshape((1,m))
np.random.permutation
我写信询问使用 Fisher-Yates 洗牌算法对数据集进行洗牌与使用以下代码片段相比有什么区别:
X.shape[1] # number of training examples
permutation = list(np.random.permutation(m))
shuffled_X = X[:, permutation]
shuffled_Y = Y[:, permutation].reshape((1,m))