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#' Wrapper function for preparing recipes within resampling
#'
#' When working with the \pkg{rsample} package, a simple recipe
#' must be *prepared* using the `prep`
#' function first. When using recipes with \pkg{rsample} it
#' is helpful to have a function that can prepare a recipe
#' across a series of `split` objects that are produced
#' in this package. `prepper` is a wrapper function
#' around `prep` that can be used to do
#' this. See the vignette on "Recipes and rsample" for an
#' example.
#'
#' @details
#' `prepper()` sets the underlying `prep()` argument `fresh` to `TRUE`.
#'
#' @param split_obj An `rplit` object
#' @param recipe An untrained `recipe` object.
#' @param ... Arguments to pass to `prep` such as `verbose` or `retain`.
#' @export
prepper <- function(split_obj, recipe, ...) {
prep(recipe, training = rsample::analysis(split_obj), fresh = TRUE, ...)
}
# alternate names: chef? dr_prepper?
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