README.md

In KrzyGajow/HOFS: Higher Order Mutual Information Approximation for Feature Selection

HOFS

Higher Order Mutual Information Approximation for Feature Selection.

Installation

You can install the released version of HOFS from GitHub with:

library(remotes)
install_github("KrzyGajow/HOFS")

Example

This is a basic example which shows you how to solve a common problem:

library("HOFS")
data(iris)
Results <- HOFS( data = iris[ , -5 ], label = iris[ , 5, drop = F ], Nfeatures = 4 )

# Run Shiny web application 
runShinyHOFS()

KrzyGajow/HOFS documentation built on April 4, 2022, 1:56 a.m.