Lumos

Lumos is a library to compare metrics between two datasets, accounting for population differences and invariant features. Lumos is described in this technical paper:

  @inproceedings{Pool2020,
	title="Lumos: A Library for Diagnosing Metric Regressions in Web-Scale Applications",
	author="Jamie Pool, Ebrahim Beyrami, Vishak Gopal, Ashkan Aazami, Jayant Gupchup, Jeff Rowland, Binlong Li, Pritesh Kanani, Ross Cutler, Johannes Gehrke",
	booktitle="Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining",
	year="2020"
}

Install

You can install latest release of Lumos directly from source:

pip install git+https://github.com/microsoft/MS-Lumos

Examples

Please refer to the examples folder.

Contributing

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.opensource.microsoft.com.

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This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.