Exponential Smoothing State Update

Problem

Update an exponentially smoothed level given the current level, a new observation x, and smoothing factor alpha: new_level = alpha * x + (1 - alpha) * level.

Return the updated level.

Hint

alpha = 1 ignores history and jumps straight to the new observation.

Test cases

case 1

in: [10,12,0.5]

expected: 11

case 2

in: [5,5,0.3]

expected: 5

case 3

in: [0,10,1]

expected: 10

case 4

in: [10,0,0]

expected: 10

Starter codePython

def exp_smoothing_state(level, x, alpha):
    # Your code here
    pass

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