EasyNLPnlp-152

Whitening Transform

Problem

Apply z-score whitening per dimension: (x - mean) / std.

Dimensions with zero standard deviation become 0.0. The lists are zipped, so the shortest one determines the output length.

Hint

Guard against division by zero before subtracting and dividing.

case 1

in: [[2,4],[0,2],[1,2]]

expected: [2,1]

case 2

in: [[1,1],[1,1],[0,0]]

expected: [0,0]

case 3

in: [[0,0],[0,0],[1,1]]

expected: [0,0]

case 4

in: [[3,5,7],[1,1,1],[2,2,2]]

expected: [1,2,3]

Starter codePython

def whitening_transform(vector, mean, std):
    # Your code here
    pass

4 test cases · run your code against them in the editor