alibi
Algorithms for monitoring and explaining machine learning models
Algorithms for monitoring and explaining machine learning models
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Alibi is an open source Python library aimed at machine learning model inspection and interpretation. The focus of the library is to provide high-quality implementations of black-box, white-box, local and global explanation methods for classification and regression models.
If you're interested in outlier detection, concept drift or adversarial instance detection, check out our sister project alibi-detect.
Summary
Algorithms for monitoring and explaining machine learning models
Last Updated
May 18, 2022 at 16:26
License
Apache-2.0
Total Downloads
4
GitHub Repository
https://github.com/SeldonIO/alibiDocumentation
https://docs.seldon.io/projects/alibi/en/latest/