Package: rSAFE 0.1.4

Alicja Gosiewska

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>.

Authors:Alicja Gosiewska [aut, cre], Anna Gierlak [aut], Przemyslaw Biecek [aut, ths], Michal Burdukiewicz [ctb]

rSAFE_0.1.4.tar.gz
rSAFE_0.1.4.zip(r-4.7)rSAFE_0.1.4.zip(r-4.6)rSAFE_0.1.4.zip(r-4.5)
rSAFE_0.1.4.tgz(r-4.6-any)rSAFE_0.1.4.tgz(r-4.5-any)
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rSAFE_0.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
rSAFE/json (API)

# Install 'rSAFE' in R:

install.packages('rSAFE', repos = c('https://modeloriented.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/modeloriented/rsafe/issues

Datasets:

apartments - Apartments data
apartmentsTest - Apartments data
HR_data - Why are our best and most experienced employees leaving prematurely?

On CRAN:

feature-engineering feature-extraction iml interpretability machine-learning xai

6.82 score 28 stars 47 scripts 282 downloads 7 exports 93 dependencies

Last updated from:4e9ad1a9db. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	228
source / vignettes	OK	290
linux-release-x86_64	OK	236
macos-release-arm64	OK	208
macos-oldrel-arm64	OK	167
windows-devel	OK	181
windows-release	OK	153
windows-oldrel	OK	154
wasm-release	OK	155

Exports:safe_extraction safely_detect_changepoints safely_detect_interactions safely_select_variables safely_transform_categorical safely_transform_continuous safely_transform_data

Dependencies:abind backports boot broom car carData cli codetools colorspace corrplot cowplot cpp11 DALEX dendextend Deriv digest doBy doFuture dplyr farver foreach forecast Formula fracdiff future future.apply generics ggplot2 ggpubr ggrepel ggsci ggsignif globals glue gridExtra gtable iBreakDown ingredients isoband iterators kernelshap labeling lattice lifecycle listenv lme4 lmtest magrittr MASS Matrix MatrixModels mgcv minqa modelr nlme nloptr nnet numDeriv parallelly pbkrtest pillar pkgconfig polynom purrr quantreg R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas rlang rstatix S7 scales sets SparseM stringi stringr survival tibble tidyr tidyselect timeDate urca utf8 vctrs viridis viridisLite withr zoo

Classification example - HR data

Rendered fromexample_hr.Rmdusingknitr::rmarkdown

Last update: 2021-03-20
Started: 2019-04-18

Regression example - apartments data

Rendered fromexample_apartments.Rmdusingknitr::rmarkdown

Last update: 2021-03-20
Started: 2018-09-05

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Apartments data	apartments apartmentsTest
Why are our best and most experienced employees leaving prematurely?	HR_data
Plotting Transformations of the SAFE Extractor Object	plot.safe_extractor
Printing Summary of the SAFE Extractor Object	print.safe_extractor
Creating SAFE Extractor - an Object Used for Surrogate-Assisted Feature Extraction	safe_extraction
Identifying Changes in a Series Using PELT Algorithm	safely_detect_changepoints
Detecting Interactions via Permutation Approach	safely_detect_interactions
Performing Feature Selection on the Dataset with Transformed Variables	safely_select_variables
Calculating a Transformation of Categorical Feature Using Hierarchical Clustering	safely_transform_categorical
Calculating a Transformation of a Continuous Feature Using PDP/ALE Plot	safely_transform_continuous
Performing Transformations on All Features in the Dataset	safely_transform_data