man-roxygen/example.R

#' @examples
#' # Feature Selection
#' \donttest{
#'
#' # retrieve task and load learner
#' task = tsk("penguins")
#' learner = lrn("classif.rpart")
#'
#' # run feature selection on the Palmer Penguins data set
#' instance = fselect(
#'   fselector = fs("<%= id %>"),
#'   task = task,
#'   learner = learner,
#'   resampling = rsmp("holdout"),
#'   measure = msr("classif.ce"),
#'   term_evals = 10
#' )
#'
#' # best performing feature set
#' instance$result
#'
#' # all evaluated feature sets
#' as.data.table(instance$archive)
#'
#' # subset the task and fit the final model
#' task$select(instance$result_feature_set)
#' learner$train(task)
#' }
mlr-org/mlr3fselect documentation built on July 5, 2025, 3:22 a.m.