fs.mdfs.2D: Build MultiDimensional Feature Selector from IGs uses GPU, is...

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

Description

Build MultiDimensional Feature Selector from IGs uses GPU, is a parallel computing platform CUDA

Usage

fs.mdfs.2D(x, y, params = list(adjust = "holm", alpha = 0.05))

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	method as accepted by p.adjust ("BY" is recommended for FDR, see Details) or SGoF SGoF

Details

Build MultiDimensional Feature Selector from IGs, requires mandatory installation of CUDA

Value

A data.frame with selected features and p.value

decisions <- data$class data$class <- NULL fs.mdfs.2D(data, decisions, params = list(adjust = 'SGoF'))

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