fs.mrmr: Minimum Redundancy Maximal Relevancy

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

Description

Minimum Redundancy Maximal Relevancy

Usage

fs.mrmr(x, y, params = list(feature.number = 100))

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
params	number of attributes to select. Must not exceed, feature.number there cannot be more than the number of columns

Details

Performs MRMR for feature selection

Value

A data.frame with selected features

Examples

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

fs.mrmr(data, decisions, params = list(feature.number = 100))

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