R/prepper.R

In tidymodels/recipes: Preprocessing and Feature Engineering Steps for Modeling

#' 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?