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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
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_0.1.4.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 form https://CRAN.R-project.org/package=rSAFE 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.
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