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EasyML Fundamentalsml-315

Feature Store Consistency

Problem

Compare offline and online feature values and return the sorted indices where they differ, up to the shorter length.

Empty input returns [].

Hint

Mismatches between offline and online features cause training-serving skew.

Test cases

case 1
in: [[1,2,3],[1,2.5,3]]
expected: [1]
case 2
in: [[1,2],[1,2]]
expected: []
case 3
in: [[],[]]
expected: []
Starter codePython
def feature_store_mismatches(offline, online):
    # Your code here
    pass

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