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
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

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