The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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: 0.5
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:

Reference manual: localModel.pdf
Vignettes: Explaining classification models with localModel package
Methodology behind localModel package
Introduction to localModel package

Downloads:

Package source: localModel_0.5.tar.gz
Windows binaries: r-devel: localModel_0.5.zip, r-release: localModel_0.5.zip, r-oldrel: localModel_0.5.zip
macOS binaries: r-release (arm64): localModel_0.5.tgz, r-oldrel (arm64): localModel_0.5.tgz, r-release (x86_64): localModel_0.5.tgz, r-oldrel (x86_64): localModel_0.5.tgz
Old sources: localModel archive

Reverse dependencies:

Reverse suggests: DALEXtra

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.