logistic_regression Python Code

Python

#Load library and data

import pandas as pd

from ChannelAttributionPro import *

Data = pd.read_csv("https://channelattribution.net/csv/Data.csv",sep=";")

password="yourpassword"

# Perform transaction level attribution

res=logistic_regression(Data=Data, var_path="path", var_conv="total_conversions", 
    var_null="total_null", var_value=None, row_sep=",",cha_sep=">",flg_write_nulls=False, 
    flg_write_paths=False, file_output=None, verbose=True,
    server="app.channelattribution.io",password=password)

path_attribution=res["attribution"]
print(path_attribution)