# if (FALSE) {
# library(ParamHelpers)
# task = Tasks$get("iris")
# learner = mlr.learners$get("classif.rpart")
# resampling = Resamplings$get("cv")
# resampling$instantiate(task)
# inner = Resamplings$get("holdout")
# measures = mlr.measures$get("mmce")
# par.set = makeParamSet(
# makeIntegerParam("mtry", lower = 1, upper = 10)
# )
# ctrl = TuneControlGrid$new(par.set, 20, inner)
# ctrl$run(task ,learner, 1:50, mmce)
# self = list(
# par.set = par.set,
# budget = 5,
# resampling = inner
# )
# }
tune = function(task, learner, resampling, measures, ctrl) {
assertR6(task, "Task")
assertR6(learner, "Learner")
assertR6(resampling, "Resampling")
assertList(measures, "Measure")
assertR6(ctrl, "TuneControl")
# if (is.null(resampling$instance))
# resampling$instantiate(task)
# pm.level = "mlrng.tune"
}
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