doi:10.1145/2939672.2939778>) in which interpretable inputs are created based on local rather than global behaviour of each original feature.">

localModel: LIME-Based Explanations with Interpretable Inputs Based on Ceteris Paribus Profiles (original) (raw)

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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