Monotonicity Check

Problem

Check model-agnostic monotonicity: sort samples by the feature value and return True when predictions are non-decreasing.

Empty input returns True.

Hint

Monotonicity checks are used to validate regulated or explainable models.

case 1

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

expected: true

case 2

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

expected: false

case 3

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

expected: true

Starter codePython

def monotonicity_check(feature_values, predictions):
    # Your code here
    pass

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