GARS: GARS package for a robust feature selection of...

Description Details Author(s)


The main function of GARS is GARS_GA, which implements a clustering-based Genetic Algorithm to select Robust Subsets of features in high-dimensional datasets. The user can extract the results of GARS_GA, exploiting the assessor methods: MatrixFeatures, LastPop, AllPop and FitScore.


See the package vignette, by typing vignette("GARS") to discover all the GARS_GA functions.


Mattia Chiesa, Giada Maioli, Luca Piacentini

GARS documentation built on Nov. 8, 2020, 7:23 p.m.