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:Gary Hutson [aut, cre]

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

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2 exports 0.00 score 76 dependencies 7 scripts 297 downloads

Last updated 3 years agofrom:5c53b7c538. Checks:OK: 1 NOTE: 1. Indexed: yes.

Exports:mutlicol_terminatorrfeTerminator

Dependencies:caretclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdplyre1071fansifarverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvModelMetricsmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6randomForestRColorBrewerRcpprecipesreshape2rlangrpartscalesshapeSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr