#' Learning rate
#'
#' The parameter is used in boosting methods (`parsnip::boost_tree()`) or some
#' types of neural network optimization methods.
#'
#' @inheritParams Laplace
#' @details
#' The parameter is used on the log10 scale. The units for the `range` function
#' are on this scale.
#'
#' `learn_rate()` corresponds to `eta` in \pkg{xgboost}.
#' @examples
#' learn_rate()
#' @export
learn_rate <- function(range = c(-10, -1), trans = transform_log10()) {
new_quant_param(
type = "double",
range = range,
inclusive = c(TRUE, TRUE),
trans = trans,
label = c(learn_rate = "Learning Rate"),
finalize = NULL
)
}
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