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 Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=localModel to link to this page.
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