Drift Detection Threshold

Problem

Return the upper control limit mean + k * population_std for a reference sample, where population std divides the sum of squared deviations by n. Return 0.0 when the reference is empty.

Test cases

case 1

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

expected: 7.242640687119286

case 2

in: [[5,5,5],2]

expected: 5

case 3

in: [[],2]

expected: 0

case 4

in: [[0,10],1]

expected: 10

Starter codePython

def drift_threshold(reference, k):
    # Your code here
    pass

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