localModel: LIME-Based Explanations with Interpretable Inputs Based on Ceteris 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: 0.3.11
Depends: R (≥ 3.5)
Imports: glmnet, ggplot2, partykit, ingredients
Suggests: covr, knitr, rmarkdown, randomForest, DALEX, testthat
Published: 2019-04-14
Author: Mateusz Staniak [aut, cre], Przemyslaw Biecek [aut], Krystian Igras [ctb], Alicja Gosiewska [ctb]
Maintainer: Mateusz Staniak <m.staniak at mini.pw.edu.pl>
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

Downloads:

Reference manual: localModel.pdf
Vignettes: Explaining classification models with localModel package
Methodology behind localModel package
Introduction to localModel package
Package source: localModel_0.3.11.tar.gz
Windows binaries: r-devel: localModel_0.3.11.zip, r-devel-gcc8: localModel_0.3.11.zip, r-release: localModel_0.3.11.zip, r-oldrel: localModel_0.3.11.zip
OS X binaries: r-release: localModel_0.3.11.tgz, r-oldrel: localModel_0.3.11.tgz

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