#' @template cpo_doc_intro
#' @description
#' Allows imputation of missing feature values through various techniques.
#' Note that you have the possibility to re-impute a data set
#' in the same way as the imputation was performed during training.
#' This especially comes in handy during resampling when one wants to perform the
#' same imputation on the test set as on the training set.
#'
#' @details
#' The description object contains these slots
#' \describe{
#' \item{target [\code{character}]}{See argument.}
#' \item{features [\code{character}]}{Feature names (column names of \code{data}).},
#' \item{classes [\code{character}]}{Feature classes (storage type of \code{data}).}
#' \item{lvls [\code{named list}]}{Mapping of column names of factor features to their levels,
#' including newly created ones during imputation.}
#' \item{impute [\code{named list}]}{Mapping of column names to imputation functions.}
#' \item{dummies [\code{named list}]}{Mapping of column names to imputation functions.}
#' \item{impute.new.levels [\code{logical(1)}]}{See argument.}
#' \item{recode.factor.levels [\code{logical(1)}]}{See argument.}
#' }
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