localModel: LIME-Based Explanations with Interpretable Inputs Based onCeteris Paribus Profiles
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.
| Version: | 0.5 |
| Depends: | R (≥ 3.5) |
| Imports: | glmnet,DALEX,ggplot2,partykit,ingredients |
| Suggests: | covr,knitr,rmarkdown,randomForest,testthat |
| Published: | 2021-09-14 |
| DOI: | 10.32614/CRAN.package.localModel |
| Author: | Przemyslaw Biecek [aut, cre], Mateusz Staniak [aut], Krystian Igras [ctb], Alicja Gosiewska [ctb], Harel Lustiger [ctb], Willy Tadema [ctb] |
| Maintainer: | Przemyslaw Biecek <przemyslaw.biecek at gmail.com> |
| BugReports: | https://github.com/ModelOriented/localModel/issues |
| License: | GPL-2 |GPL-3 [expanded from: GPL] |
| URL: | https://github.com/ModelOriented/localModel |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | localModel results |
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