R/param_target_weight.R

In dials: Tools for Creating Tuning Parameter Values

#' Amount of supervision parameter
#'
#' For [uwot::umap()] and [embed::step_umap()], this is a weighting factor
#' between data topology and target topology. A value of 0.0 weights entirely
#' on data, a value of 1.0 weights entirely on target. The default of 0.5
#' balances the weighting equally between data and target.
#'
#' @inheritParams Laplace
#' 
#' @details
#' This parameter is used in `recipes` via [embed::step_umap()].
#' 
#' @examples
#' target_weight()
#' @export
target_weight <- function(range = c(0, 1), trans = NULL) {
  new_quant_param(
    type = "double",
    range = range,
    inclusive = c(TRUE, FALSE),
    trans = trans,
    label = c(target_weight = "Proportion Supervised"),
    finalize = NULL
  )
}