#' MLMetric Class Constructor
#'
#' Create a performance metric for use with the \pkg{MachineShop} package.
#'
#' @rdname MLMetric
#'
#' @param object function to compute the metric, defined to accept
#' \code{observed} and \code{predicted} as the first two arguments and with an
#' ellipsis (\code{...}) to accommodate others.
#' @param name character name of the object to which the metric is assigned.
#' @param label optional character descriptor for the model.
#' @param maximize logical indicating whether higher values of the metric
#' correspond to better predictive performance.
#' @param value list of arguments to pass to the \code{MLMetric} constructor.
#'
#' @return \code{MLMetric} class object.
#'
#' @seealso \code{\link{metrics}}
#'
#' @examples
#' f2_score <- MLMetric(
#' function(observed, predicted, ...) {
#' f_score(observed, predicted, beta = 2, ...)
#' },
#' name = "f2_score",
#' label = "F Score (beta = 2)",
#' maximize = TRUE
#' )
#'
MLMetric <- function(object, name = "MLMetric", label = name, maximize = TRUE) {
new("MLMetric", object, name = name, label = label, maximize = maximize)
}
#' @rdname MLMetric
#'
"MLMetric<-" <- function(object, value) {
do.call(MLMetric, c(object, value))
}
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