RedaAffane

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(",")

RedaAffane

# 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)

RedaAffane

SELECT  "channels_subset",
        sum("conversion") as "conversions_sum"
FROM
    (
        SELECT  "user_id",
                string_agg(DISTINCT("channel"), ',') as "channels_subset",
                max("conversion") as "conversion"
        FROM
            (
                SELECT  "user_id",