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scikit-uplift 0.5.1

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Classic approaches of Uplift modelling in scikit-learn style in python

Classic approaches of Uplift modelling in scikit-learn style in python

Stars: 726, Watchers: 726, Forks: 96, Open Issues: 29

The maks-sh/scikit-uplift repo was created 4 years ago and the last code push was 11 months ago.
The project is popular with 726 github stars!

How to Install scikit-uplift

You can install scikit-uplift using pip

pip install scikit-uplift

or add it to a project with poetry

poetry add scikit-uplift

Package Details

Author
License
Homepage
https://github.com/maks-sh/scikit-uplift
PyPi:
https://pypi.org/project/scikit-uplift/
GitHub Repo:
https://github.com/maks-sh/scikit-uplift

Classifiers

No  scikit-uplift  pypi packages just yet.

Errors

A list of common scikit-uplift errors.

Code Examples

Here are some scikit-uplift code examples and snippets.

GitHub Issues

The scikit-uplift package has 29 open issues on GitHub

  • Incorrect error message in metrics.uplift_at_k

See more issues on GitHub

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