pyuplift 0.0.3.2.1

Uplift modeling implementation

Installation

Install from PyPi

pip install pyuplift

Install from source code

python setup.py install

Examples of usage

• Synthetic dataset
• Hillstrom Email Marketing dataset

Compatible with

• numpy
• sklearn

Datasets

• Criteo Uplift Prediction
• Hillstrom Email Marketing

References

• Devriendt F, Moldovan D, Verbeke W. A literature survey and experimental evaluation of the state-of-the-art in uplift modeling: A stepping stone toward the development of prescriptive analytics. Big data. 2018 Mar 1;6(1):13-41.
• Weisberg HI, Pontes VP. Post hoc subgroups in clinical trials: Anathema or analytics?. Clinical trials. 2015 Aug;12(4):357-64.
• Lo VS. The true lift model: a novel data mining approach to response modeling in database marketing. ACM SIGKDD Explorations Newsletter. 2002 Dec 1;4(2):78-86.
• Guelman L, Guillén M, Pérez-Marín AM. A decision support framework to implement optimal personalized marketing interventions. Decision Support Systems. 2015 Apr 1;72:24-32.
• Tian L, Alizadeh AA, Gentles AJ, Tibshirani R. A simple method for estimating interactions between a treatment and a large number of covariates. Journal of the American Statistical Association. 2014 Oct 2;109(508):1517-32.

Communication

• Email: [e-mail]
• Telegram: duketemon