reward_model

Python

import pandas as pd
from ChannelAttributionPro import reward_model

token = "yourtoken"

Data = pd.read_csv("https://app.channelattribution.io/data/data_mmm.csv", sep=",")

D_variables = pd.DataFrame({
    "variable": [
        "direct_searches",
        "facebook_impressions",
        "facebook_cost",
        "google_impressions",
        "google_clicks",
        "google_cost",
    ],
    "channel": [
        "direct",
        "facebook_ads",
        "facebook_ads",
        "google_ads",
        "google_ads",
        "google_ads",
    ],
    "measure": [
        "direct_searches",
        "impressions",
        "cost",
        "impressions",
        "clicks",
        "cost",
    ],
})

target = "revenue"

res = reward_model(
    Data=Data,
    D_variables=D_variables,
    target=target,
    max_p=12,
    seed=1234567,
    verbose=1,
    password=token,
)

print(res)