piwheels

Beat-ML1

This package contains several methods for calculating Conditional Average Treatment Effects

Installation

In a virtualenv (see these instructions if you need to create one):

pip3 install beat-ml1

Dependencies

• pandas
• shap
• joblib
• statsmodels
• lightgbm
• numpy
• sparse
• scipy
• scikit-learn

Releases

Version	Released	Bullseye Python 3.9	Bookworm Python 3.11	Trixie Python 3.13	Files
0.13.1	2022-10-24
Beat_ML1-0.13.1-cp37-cp37m-linux_armv6l.whl (1 MB) Beat_ML1-0.13.1-cp37-cp37m-linux_armv7l.whl (1 MB) Beat_ML1-0.13.1-cp39-cp39-linux_armv6l.whl (3 MB) Beat_ML1-0.13.1-cp39-cp39-linux_armv7l.whl (3 MB)

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