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#' Determine the minimum set of model fits

#'

#' `min_grid()` determines exactly what models should be fit in order to

#'  evaluate the entire set of tuning parameter combinations. This is for

#'  internal use only and the API may change in the near future.

#' @param x A model specification.

#' @param grid A tibble with tuning parameter combinations.

#' @param ... Not currently used.

#' @return A tibble with the minimum tuning parameters to fit and an additional

#' list column with the parameter combinations used for prediction.

#' @section Methods:

#' \Sexpr[stage=render,results=rd]{generics:::methods_rd("min_grid")}

#' @export

min_grid <- function(x, grid, ...) {

}