AI/ML what is np.random.permutation

A permutation refers to an arrangement of elements. e.g. [3, 2, 1] is a permutation of [1, 2, 3] and vice-versa. The NumPy Random module provides two methods for this: shuffle() and permutation() .

That is, the permutation is a group element and the shuffle is the result of its action on a particular word. One can debate whether this is a good use of terminology (it seems reasonable to me), but that is the distinction being made. It reflects a quite formal mathematical point of view

Randomly permute a sequence, or return a permuted range. If x is a multi-dimensional array, it is only shuffled along its first index. Note. 

from numpy import random

import numpy as np

arr = np.array([1, 2, 3, 4, 5])

print(random.permutation(arr))

references:

https://www.w3schools.com/python/numpy/numpy_random_permutation.asp