#' 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
)
}
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