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EasyML Fundamentalsml-221

Implicit Feedback Confidence

Problem

Compute implicit-feedback confidence values: 1 + alpha * interaction.

Return the list; empty input returns [].

Hint

Confidence grows linearly with the strength of implicit interaction.

Test cases

case 1
in: [[0,1,5],0.5]
expected: [1,1.5,3.5]
case 2
in: [[2],1]
expected: [3]
case 3
in: [[],0.5]
expected: []
Starter codePython
def implicit_confidence(interactions, alpha):
    # Your code here
    pass

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