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test_that("resample convenience functions", {
mycheck = function(r) {
expect_true(all(!is.na(r$aggr)))
}
r = holdout("classif.rpart", multiclass.task)
mycheck(r)
r = subsample("classif.rpart", multiclass.task, iters = 1L, split = 0.2,
minsplit = 50L, models = TRUE)
mycheck(r)
expect_equal(r$models[[1L]]$learner.model$control$minsplit, 50L)
lrn = makeLearner("classif.rpart")
r = crossval(lrn, multiclass.task, iters = 2L)
mycheck(r)
r = repcv("classif.rpart", multiclass.task, folds = 2L, reps = 2L, stratify = TRUE)
mycheck(r)
r = bootstrapOOB("classif.rpart", multiclass.task, iters = 1L)
mycheck(r)
r = bootstrapB632("classif.rpart", multiclass.task, iters = 1L)
mycheck(r)
r = bootstrapB632plus("classif.rpart", multiclass.task, iters = 1L)
mycheck(r)
})
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