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minimal, fast, object-oriented implementation of the AIPW and related estimators for many discrete treatments. Implemented with scikitlearners and cross-fitting.

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Name		Name	Last commit message	Last commit date
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aipyw		aipyw
notebooks		notebooks
.gitignore		.gitignore
README.md		README.md
requirements.txt		requirements.txt
setup.py		setup.py

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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 notebooks/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 and related estimators for many discrete treatments. Implemented with scikitlearners and cross-fitting.

python causal-inference doubleml

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