causalml 0.15.0

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

The uber/causalml repo was created 4 years ago and the last code push was 5 days ago.
The project is very popular with an impressive 4718 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

Homepage

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 59 open issues on GitHub

• How can we get the probability for each class with basexclassifier?
• AttributeError: module 'causalml.inference.tree.uplift' has no attribute 'bootstrap'
• Add Python 3.10 to the testing
• Add structural and covariate information to counterfactual unit selection
• UpliftRandomForestClassifier with n_jobs=-1 creates copies of data
• Package requires old scipy version

See more issues on GitHub