# ------------------------------------------------------------------------------
#' @export
`[.iteration_results` <- function(x, i, j, ...) {
out <- NextMethod()
iteration_results_reconstruct(out, x)
}
#' @export
`names<-.iteration_results` <- function(x, value) {
out <- NextMethod()
iteration_results_reconstruct(out, x)
}
# ------------------------------------------------------------------------------
# Same as `tune_results`, except that the vctrs invariants also require that
# the `.iter` column sticks around.
#' @export
#' @keywords internal
#' @rdname empty_ellipses
#' @param parameters A `parameters` object.
#' @param metrics A metric set.
#' @param eval_time A numeric vector of time points where dynamic event time
#' metrics should be computed (e.g. the time-dependent ROC curve, etc).
#' @param outcomes A character vector of outcome names.
#' @param rset_info Attributes from an `rset` object.
#' @param workflow The workflow used to fit the iteration results.
new_iteration_results <-
function(x,
parameters,
metrics,
eval_time,
eval_time_target,
outcomes = character(0),
rset_info,
workflow) {
new_tune_results(
x = x,
parameters = parameters,
metrics = metrics,
eval_time = eval_time,
eval_time_target = eval_time_target,
outcomes = outcomes,
rset_info = rset_info,
workflow = workflow,
class = "iteration_results"
)
}
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