IG: Information Gain This functions runs Information Gain for two...

In FCBF: Fast Correlation Based Filter for Feature Selection

Description

Information Gain This functions runs Information Gain for two features, returning the score

Usage

IG(x, y, base = exp(1))

Arguments

x	A vector containing a categorical feature
y	A vector containing other categorical feature
base	The base used for the logaritmic function. The default is exp(1) (~2.718)

Value

A numerical value for the Information Gain score

Examples

  data(scDengue)
  exprs <- SummarizedExperiment::assay(scDengue, 'logcounts')
  discrete_expression <- as.data.frame(discretize_exprs(exprs))
  discrete_expression_gene_1 <- discrete_expression$V1
  discrete_expression_gene_2 <- discrete_expression$V2
  IG(discrete_expression_gene_1,discrete_expression_gene_2)

FCBF documentation built on Nov. 8, 2020, 8:30 p.m.