class_folds: stratified folds (in classification)

In mlampros/FeatureSelection: Feature extraction and selection based on 'glmnet', 'xgboost' and 'ranger'

stratified folds (in classification)

Description

this function creates stratified folds in binary and multiclass classification

Usage

class_folds(folds, RESP, shuffle = FALSE)

Arguments

folds	is an integer specifying the number of folds
RESP	is the response variable
shuffle	is a boolean specifying if the vector of indices should be shuffled or not

Value

a list of indices

Examples

## Not run: 

data(iris)

y = as.factor(iris[, 5])

folds = class_folds(10, y, shuffle = TRUE)

## End(Not run)

mlampros/FeatureSelection documentation built on Jan. 12, 2023, 4:40 a.m.