python3-scikit-uplift Subpackage of python-scikit-uplift
Uplift modeling in scikit-learn style in python
scikit-uplift (sklift) is an uplift modeling python package that provides fast sklearn-style models implementation, evaluation metrics and visualization tools. Uplift modeling estimates a causal effect of treatment and uses it to effectively target customers that are most likely to respond to a marketing campaign.
Releases Overview
| Release | Stable | Testing |
|---|---|---|
| Fedora Rawhide | 0.5.1-6.fc40 | - |
| Fedora 40 | 0.5.1-6.fc40 | - |
| Fedora 39 | 0.5.1-4.fc39 | - |
| Fedora 38 | 0.5.1-2.fc38 | - |
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Package Info
Related Packages
Package Info
- Upstream: https://github.com/maks-sh/scikit-uplift
- License(s): MIT
- Maintainer: iztokf
Related Packages
You can contact the maintainers of this package via email at
python-scikit-uplift dash maintainers at fedoraproject dot org.
Sources on Pagure