shapley.py

# First, let's convert the dataframe "subsets_conversions" into a dictionnary
C_values = user_logs_aggr.set_index("channels").to_dict()["conversions"]

#For each possible combination of channels A, we compute the total number of conversions yielded by every subset of A. 
# Example : if A = {c1,c2}, then v(A) = C({c1}) + C({c2}) + C({c1,c2})
v_values = {}
for A in subsets(channels):
    v_values[A] = v_function(A,C_values)