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rSAFE: Surrogate-Assisted Feature Extraction

Provides a model agnostic tool for white-box model trained on features extracted from a black-box model. For more information see: Gosiewska et al. (2020) <doi:10.1016/j.dss.2021.113556>.

Version:0.1.4
Depends:R (≥ 3.5.0)
Imports:DALEX,dendextend,ggplot2,ggpubr, grDevices,ingredients,sets, stats
Suggests:gbm,knitr,pander,randomForest,rmarkdown,spelling,testthat,vdiffr
Published:2022-08-13
DOI:10.32614/CRAN.package.rSAFE
Author:Alicja Gosiewska [aut, cre], Anna Gierlak [aut], Przemyslaw Biecek [aut, ths], Michal BurdukiewiczORCID iD [ctb]
Maintainer:Alicja Gosiewska <alicjagosiewska at gmail.com>
BugReports:https://github.com/ModelOriented/rSAFE/issues
License:GPL-3
URL:https://github.com/ModelOriented/rSAFE
NeedsCompilation:no
Language:en-US
Citation:rSAFE citation info
Materials:NEWS
CRAN checks:rSAFE results

Documentation:

Reference manual:rSAFE.html ,rSAFE.pdf
Vignettes:Regression example - apartments data (source,R code)
Classification example - HR data (source,R code)

Downloads:

Package source: rSAFE_0.1.4.tar.gz
Windows binaries: r-devel:rSAFE_0.1.4.zip, r-release:rSAFE_0.1.4.zip, r-oldrel:rSAFE_0.1.4.zip
macOS binaries: r-release (arm64):rSAFE_0.1.4.tgz, r-oldrel (arm64):rSAFE_0.1.4.tgz, r-release (x86_64):rSAFE_0.1.4.tgz, r-oldrel (x86_64):rSAFE_0.1.4.tgz
Old sources: rSAFE archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=rSAFEto link to this page.


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