All problems
Huber Loss Gradient
Problem
For residuals r = pred - target, the Huber loss uses gradient r when |r| <= delta and delta * sign(r) otherwise.
Given predictions, targets, and delta, return the gradient list.
Hint
Huber is quadratic near zero and linear outside the delta band.
Test cases
case 1
in: [[1,5],[2,2]]
expected: [-1,1]
case 2
in: [[1.5,1.5],[0,3],1]
expected: [1,-1]
case 3
in: [[3,-3],[0,0],2]
expected: [2,-2]
Starter codePython
def huber_gradient(preds, targets, delta=1.0):
# Your code here
pass3 test cases · run your code against them in the editor