Algorithms for monitoring and explaining machine learning models
copied from cf-staging / alibiAlibi 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.