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minimal, fast object oriented implementation of the AIPW estimator for many discrete treatments. Implemented with scikitlearners and cross-fitting. Written primarily for OOP practice and customisation.

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Name		Name	Last commit message	Last commit date
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aipyw		aipyw
.gitignore		.gitignore
00_demo.ipynb		00_demo.ipynb
README.md		README.md

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`aipyw`: Auto-DML with scikit-learn

minimal, fast object oriented implementation of the AIPW/Auto-DML with scikitlearners and cross-fitting.

Examples in 00_demo.ipynb.

TODO

implement automatic Riesz representer estimation (ridge, and kernel ridge)
Add more examples
Test with sparse categorical DGP

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minimal, fast object oriented implementation of the AIPW estimator for many discrete treatments. Implemented with scikitlearners and cross-fitting. Written primarily for OOP practice and customisation.

python causal-inference doubleml

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