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
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rSAFE.pdf |rSAFE.html✨
rSAFE/json (API)
NEWS

# 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:

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

On CRAN:

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

7 exports 28 stars 2.54 score 77 dependencies 44 scripts 341 downloads

Last updated 2 years agofrom:4e9ad1a9db. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 09 2024
R-4.5-win	OK	Sep 09 2024
R-4.5-linux	OK	Sep 09 2024
R-4.4-win	OK	Sep 09 2024
R-4.4-mac	OK	Sep 09 2024
R-4.3-win	OK	Sep 09 2024
R-4.3-mac	OK	Sep 09 2024

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 doBy dplyr fansi farver foreach generics ggplot2 ggpubr ggrepel ggsci ggsignif glue gridExtra gtable iBreakDown ingredients isoband iterators kernelshap labeling lattice lifecycle lme4 magrittr MASS Matrix MatrixModels mgcv microbenchmark minqa modelr munsell nlme nloptr nnet numDeriv pbkrtest pillar pkgconfig polynom purrr quantreg R6 RColorBrewer Rcpp RcppEigen rlang rstatix scales sets SparseM stringi stringr survival tibble tidyr tidyselect utf8 vctrs viridis viridisLite withr

Classification example - HR data

Anna Gierlak

Rendered fromexample_hr.Rmdusingknitr::rmarkdownon Sep 09 2024.

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

Regression example - apartments data

Anna Gierlak

Rendered fromexample_apartments.Rmdusingknitr::rmarkdownon Sep 09 2024.

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