Package: rSAFE 0.1.4
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:
rSAFE_0.1.4.tar.gz
rSAFE_0.1.4.zip(r-4.5)rSAFE_0.1.4.zip(r-4.4)rSAFE_0.1.4.zip(r-4.3)
rSAFE_0.1.4.tgz(r-4.4-any)rSAFE_0.1.4.tgz(r-4.3-any)
rSAFE_0.1.4.tar.gz(r-4.5-noble)rSAFE_0.1.4.tar.gz(r-4.4-noble)
rSAFE_0.1.4.tgz(r-4.4-emscripten)rSAFE_0.1.4.tgz(r-4.3-emscripten)
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
- HR_data - Why are our best and most experienced employees leaving prematurely?
- apartments - Apartments data
- apartmentsTest - Apartments data
feature-engineeringfeature-extractionimlinterpretabilitymachine-learningxai
Last updated 2 years agofrom:4e9ad1a9db. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 08 2024 |
R-4.5-win | OK | Nov 08 2024 |
R-4.5-linux | OK | Nov 08 2024 |
R-4.4-win | OK | Nov 08 2024 |
R-4.4-mac | OK | Nov 08 2024 |
R-4.3-win | OK | Nov 08 2024 |
R-4.3-mac | OK | Nov 08 2024 |
Exports:safe_extractionsafely_detect_changepointssafely_detect_interactionssafely_select_variablessafely_transform_categoricalsafely_transform_continuoussafely_transform_data
Dependencies:abindbackportsbootbroomcarcarDataclicodetoolscolorspacecorrplotcowplotcpp11DALEXdendextendDerivdoBydplyrfansifarverforeachFormulagenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtableiBreakDowningredientsisobanditeratorskernelshaplabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolynompurrrquantregR6RColorBrewerRcppRcppEigenrlangrstatixscalessetsSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisviridisLitewithr
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 |