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#' @title Convert to a Density Prediction
#'
#' @description
#' Convert object to a [PredictionDens].
#'
#' @inheritParams mlr3::as_prediction
#'
#' @return [PredictionDens].
#' @export
#' @examples
#' library(mlr3)
#' task = tsk("precip")
#' learner = lrn("dens.hist")
#' learner$train(task)
#' p = learner$predict(task)
#'
#' # convert to a data.table
#' tab = as.data.table(p)
#'
#' # convert back to a Prediction
#' as_prediction_dens(tab)
as_prediction_dens = function(x, ...) {
UseMethod("as_prediction_dens")
}
#' @rdname as_prediction_dens
#' @export
as_prediction_dens.PredictionDens = function(x, ...) { # nolint
x
}
#' @rdname as_prediction_dens
#' @export
as_prediction_dens.data.frame = function(x, ...) { # nolint
mandatory = c("row_ids")
optional = c("pdf", "cdf", "distr")
assert_names(names(x), must.include = mandatory)
assert_names(names(x), subset.of = c(mandatory, optional))
if ("distr" %in% names(x)) {
distr = x$distr[[1]]
} else {
distr = NULL
}
invoke(PredictionDens$new,
distr = distr,
.args = x[, -"distr", with = FALSE],
)
}
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