The ALICE project at Microsoft Research is
aimed at applying Artificial Intelligence concepts to economic decision making. The Microsoft EconML
package is part of that project, providing a toolkit that combines state-of-the-art machine learning
techniques with econometrics in order to bring automation to complex causal inference problems. This
toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome
variable y, controlling for a set of features x. For more information about how to use this package,
consult the documentation at https://econml.azurewebsites.net/.
For developers, you can get starting by cloning this repository. We use
setuptools for building and distributing our package.
We rely on some recent features of setuptools, so make sure to upgrade to a recent version with
pip install setuptools --upgrade. Then from your local copy of the repository you can run python setup.py develop to get started.
This project uses pytest for testing. To run tests locally after installing the package,
you can use python setup.py pytest.
This project's documentation is generated via Sphinx. To generate a local copy
of the documentation from a clone of this repository, just run python setup.py build_sphinx, which will build the documentation and place it
under the build/sphinx/html path.
The reStructuredText files that make up the documentation are stored in the docs directory; module documentation is automatically generated by the Sphinx build process.
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.
When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.