Nothing
# nocov start
# `...` -> estimate matrix / vector helper -------------------------------------
#' Developer helpers
#'
#' Helpers to be used alongside [check_metric], [yardstick_remove_missing] and
#' [metric summarizers][class_metric_summarizer()] when creating new metrics.
#' See [Custom performance
#' metrics](https://www.tidymodels.org/learn/develop/metrics/) for more
#' information.
#'
#' @section Dots -> Estimate:
#' `r lifecycle::badge("deprecated")`
#'
#' `dots_to_estimate()` is useful with class probability metrics that take
#' `...` rather than `estimate` as an argument. It constructs either a single
#' name if 1 input is provided to `...` or it constructs a quosure where the
#' expression constructs a matrix of as many columns as are provided to `...`.
#' These are eventually evaluated in the `summarise()` call in
#' [metric-summarizers] and evaluate to either a vector or a matrix for
#' further use in the underlying vector functions.
#'
#'
#' @name developer-helpers
#'
#' @aliases dots_to_estimate
#'
#' @export
#'
#' @inheritParams roc_auc
dots_to_estimate <- function(data, ...) {
lifecycle::deprecate_warn(
when = "1.2.0",
what = "dots_to_estimate()",
details = I(
paste(
"No longer needed with",
"`prob_metric_summarizer()`, or `curve_metric_summarizer()`."
)
)
)
# Capture dots
dot_vars <- with_handlers(
tidyselect::vars_select(names(data), !!!enquos(...)),
tidyselect_empty_dots = function(cnd) {
abort("No valid variables provided to `...`.")
}
)
# estimate is a matrix of the selected columns if >1 selected
dot_nms <- lapply(dot_vars, as.name)
if (length(dot_nms) > 1) {
estimate <- quo(
matrix(
data = c(!!!dot_nms),
ncol = !!length(dot_nms),
dimnames = list(NULL, !!dot_vars)
)
)
} else {
estimate <- dot_nms[[1]]
}
estimate
}
# nocov end
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