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Uplift modeling implementation

Project description

Documentation Status Build Status PyPI - Python Version GitHub

DocumentationLicenseHow to contributeUplift datasetsInspiration


Install from PyPI

pip install pyuplift

Install from source code

git clone
cd pyuplift
python install

How to contribute

Any contributions are always welcomed. There is a lot of ways how you can help to the project.

Uplift datasets

Compatible with



  • 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.

Project details

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