Local explanations of machine learning models describe, how features contributed to a single prediction. This package implements an explanation method based on LIME (Local Interpretable Model-agnostic Explanations, see Tulio Ribeiro, Singh, Guestrin (2016) <doi:10.1145/2939672.2939778>) in which interpretable inputs are created based on local rather than global behaviour of each original feature.
|Author||Mateusz Staniak [aut, cre], Przemyslaw Biecek [aut], Krystian Igras [ctb], Alicja Gosiewska [ctb]|
|Maintainer||Mateusz Staniak <[email protected]>|
|Package repository||View on CRAN|
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