% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/cv_generator.R
\name{cv_generator}
\alias{cv_generator}
\title{Generate CV folds for nested cross-validation}
\usage{
cv_generator(outer_k, inner_k, vec, grid, seed)
}
\arguments{
\item{outer_k}{Number of outer CV (performance estimation) folds. If outer_k < 1 holdout sampling is used, with outer_k being the amount of test data}

\item{inner_k}{Number of inner CV (parameter optimization) folds}

\item{vec}{Vector containing the true values of the classification}

\item{grid}{Parameter grid for optimization}

\item{seed}{integer used as seed for random number generation}
}
\value{
A nested set of lists with row numbers
}
\description{
Creates a grid of models to be estimated for each outer fold, inner fold and parameter combination
}
\examples{
cv_generator(outer_k, inner_k, dfm, class_type)
}