fs.mcfs: Monte Carlo Feature Selection And Interdependency Discovery

In pavhrablis/benchmarkFS: What the Package Does (One Line, Title Case)

Description

Monte Carlo Feature Selection And Interdependency Discovery

Usage

fs.mcfs(x, y, ...)

Arguments

x	input data where columns are variables and rows are observations (all numeric)
y	decision variable as a boolean vector of length equal to number of observations
...	unused arguments

Details

Performs Monte Carlo Feature Selection (MCFS-ID) on a given data set.

Value

A data.frame with selected features

Examples

decisions <- data$class
data$class <- NULL

fs.mcfs(data, decisions, ...)

pavhrablis/benchmarkFS documentation built on Feb. 5, 2021, 12:47 a.m.