Metadata-Version: 2.1
Name: td_ml_mta
Version: 0.0.2
Summary: Multi-Touch Attribution using Shapley and Markov chains 
Project-URL: Homepage, https://github.com/treasure-data-ps/td_ml_datamodel_create
Project-URL: Bug Tracker, https://github.com/treasure-data-ps/td_ml_datamodel_create
Author-email: Gurbaksh Sharma <gurumail10@gmail.com>
License: Copyright © 2022 Treasure Data, Inc. (or its affiliates). All rights reserved
License-File: LICENSE
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.8
Description-Content-Type: text/markdown

# td-ml-probabilistic-unification

## Introduction
Python package for Probabilistic Unification

##### Declare ENV Variables from YML file
- **apikey** = os.environ['TD_API_KEY']
- **tdserver** = os.environ['TD_API_SERVER']
- **sink_database** = os.environ['SINK_DB']
- **output_table** = os.environ['OUTPUT_TABLE

#####----Defining Variables-------#####



## Expected Input Table


`Copyright © 2022 Treasure Data, Inc. (or its affiliates). All rights reserved`
