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: 0.1.3
Depends: R (≥ 3.5.0)
Imports: DALEX, dendextend, ggplot2, ggpubr, grDevices, ingredients, sets, stats
Suggests: gbm, knitr, pander, randomForest, rmarkdown, spelling, testthat, vdiffr
Published: 2022-02-08
Author: Alicja Gosiewska [aut, cre], Anna Gierlak [aut], Przemyslaw Biecek [aut, ths], Michal Burdukiewicz ORCID 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.pdf
Vignettes: Regression example - apartments data
Classification example - HR data

Downloads:

Package source: rSAFE_0.1.3.tar.gz
Windows binaries: r-devel: rSAFE_0.1.3.zip, r-release: rSAFE_0.1.3.zip, r-oldrel: rSAFE_0.1.3.zip
macOS binaries: r-release (arm64): rSAFE_0.1.3.tgz, r-oldrel (arm64): rSAFE_0.1.3.tgz, r-release (x86_64): rSAFE_0.1.3.tgz, r-oldrel (x86_64): rSAFE_0.1.3.tgz
Old sources: rSAFE archive

Linking:

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