ICE Variance

Problem

Compute the population variance of ICE curves at each grid position (rows are samples, columns are grid points).

Return [] when there are no samples or curves.

Hint

High ICE variance reveals heterogeneous feature effects across samples.

case 1

in: [[[1,2],[3,4],[5,6]]]

expected: [2.6666666666666665,2.6666666666666665]

case 2

in: [[[1,1]]]

expected: [0,0]

case 3

in: [[]]

expected: []

Starter codePython

def ice_variance(ice_curves):
    # Your code here
    pass

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