Package: FeatureTerminatoR 1.0.0
Gary Hutson
FeatureTerminatoR: Feature Selection Engine to Remove Features with Minimal Predictive Power
The aim is to take in data.frame inputs and utilises methods, such as recursive feature engineering, to enable the features to be removed. What this does differently from the other packages, is that it gives you the choice to remove the variables manually, or it automated this process. Feature selection is a concept in machine learning, and statistical pipelines, whereby unimportant, or less predictive variables are eliminated from the analysis, see Boughaci (2018) <doi:10.1007/s40595-018-0107-y>.
Authors:
FeatureTerminatoR_1.0.0.tar.gz
FeatureTerminatoR_1.0.0.tar.gz(r-4.5-noble)FeatureTerminatoR_1.0.0.tar.gz(r-4.4-noble)
FeatureTerminatoR_1.0.0.tgz(r-4.4-emscripten)FeatureTerminatoR_1.0.0.tgz(r-4.3-emscripten)
FeatureTerminatoR.pdf |FeatureTerminatoR.html✨
FeatureTerminatoR/json (API)
NEWS
# Install 'FeatureTerminatoR' in R: |
install.packages('FeatureTerminatoR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:5c53b7c538. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 11 2024 |
R-4.5-linux | NOTE | Dec 11 2024 |
Exports:mutlicol_terminatorrfeTerminator
Dependencies:caretclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdplyre1071fansifarverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvModelMetricsmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6randomForestRColorBrewerRcpprecipesreshape2rlangrpartscalesshapeSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Multicollinearity TerminatoR - Feature Selection to remove highly correlated values | mutlicol_terminator |
Recursive Feature Engineering SelectoR | rfeTerminator |