Residual Modeling

Problem

Add a residual forecast to a base forecast elementwise: base + residual.

Return the combined forecast; zip truncates to the shorter list. This is the hybrid pattern of a structural model plus a learned residual correction.

Hint

The base model captures structure; the residual model captures what is left.

case 1

in: [[1,2],[0.5,0.5]]

expected: [1.5,2.5]

case 2

in: [[5,5,5],[0,0,0]]

expected: [5,5,5]

case 3

in: [[1],[1]]

expected: [2]

case 4

in: [[],[]]

expected: []

Starter codePython

def residual_modeling(base_forecast, residual_forecast):
    # Your code here
    pass

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