shapley_equation.py

from collections import defaultdict

n=len(channels)
shapley_values = defaultdict(int)

for channel in channels:
    for A in v_values.keys():
        if channel not in A.split(","):
            cardinal_A=len(A.split(","))
            A_with_channel = A.split(",")
            A_with_channel.append(channel)            
            A_with_channel=",".join(sorted(A_with_channel))
            shapley_values[channel] += (v_values[A_with_channel]-v_values[A])*(factorial(cardinal_A)*factorial(n-cardinal_A-1)/factorial(n))
    # Add the term corresponding to the empty set
    shapley_values[channel]+= v_values[channel]/n 

Hello Reda,
I'm trying to run your example from Medium.com on marketing attribution and the code seems to be partial. Is it possible to obtain your full code to test it out?