test_that("tuner internal works", {
measure = msr("internal_valid_score", minimize = FALSE, select = "acc")
instance = ti(
task = tsk("pima"),
learner = lrn("classif.debug",
validate = 0.2,
early_stopping = TRUE,
iter = to_tune(upper = 1000, internal = TRUE, aggr = function(x) 99)
),
resampling = rsmp("holdout"),
measures = measure,
terminator = trm("evals", n_evals = 10)
)
tuner = tnr("internal")
res = tuner$optimize(instance)
expect_data_table(res)
expect_equal(names(res$internal_tuned_values[[1L]]), "iter")
})
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