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EasyOptimizationop-308

Inverse Time Decay Schedule

Problem

The inverse time decay schedule is lr_t = lr0 / (1 + k * t).

Given the base rate lr0, the decay rate k, and the step t, return the learning rate.

Hint

The denominator grows linearly with the step count.

Test cases

case 1
in: [0.1,0.01,100]
expected: 0.05
case 2
in: [1,1,0]
expected: 1
case 3
in: [0.5,0.5,3]
expected: 0.2
Starter codePython
def inverse_time_decay_schedule(lr0, k, t):
    # Your code here
    pass

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