alibi
Algorithms for monitoring and explaining machine learning models
Algorithms for monitoring and explaining machine learning models
To install this package, run one of the following:
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
14.1K
Supported Platforms
GitHub Repository
https://github.com/SeldonIO/alibiDocumentation
https://docs.seldon.io/projects/alibi/en/latest/