causalml 0.16.0

Python Package for Uplift Modeling and Causal Inference with Machine Learning Algorithms

Stars: 5739, Watchers: 5739, Forks: 852, Open Issues: 50

The uber/causalml repo was created 6 years ago and the last code push was 3 days ago.
The project is extremely popular with a mindblowing 5739 github stars!

How to Install causalml

You can install causalml using pip

pip install causalml

or add it to a project with poetry

poetry add causalml

Package Details

Author

Huigang Chen, Totte Harinen, Jeong-Yoon Lee, Jing Pan, Mike Yung, Zhenyu Zhao

License

None

Homepage

None

PyPi:

https://pypi.org/project/causalml/

GitHub Repo:

https://github.com/uber/causalml

Classifiers

Related Packages

Errors

A list of common causalml errors.

Code Examples

Here are some causalml code examples and snippets.

GitHub Issues

The causalml package has 50 open issues on GitHub

• Support NaN values in UpliftTree and UpliftRandomForest
• Support for Inputs with NaN in Uplift Trees/Uplift RandomForest
• Why does using UpliftRandomForestClassifier consume so much memory？

See more issues on GitHub