context("mbo benchmark")
test_that("mbo benchmark works", {
skip_if_not_installed("mlrMBO")
library(mlrMBO)
benchmark = generateSimpleBenchmark(makeBraninFunction())
ctrl = makeMBOControl()
ctrl = setMBOControlTermination(ctrl, more.termination.conds = benchmark$mlrmbo.termination.criterions)
lrn = makeLearner("regr.glm", predict.type = "se", config = list(show.learner.output = FALSE))
bench.res = lapply(1:2, function(i) {
run = mbo(
fun = benchmark$smoof.fun,
design = benchmark$getInitialDesignEvaluated(i),
control = ctrl,
learner = lrn)
expect_equal(run$final.state, "term.feval")
expect_equal(getOptPathLength(run$opt.path), benchmark$termination.criterions$evals$vars$max.evals)
BenchResult$new(
id = NULL,
algo.name = "mlrMBO",
benchmark = benchmark,
opt.path = run$opt.path,
repl = i
)
})
brv = BenchReplVis$new(bench.res, benchmark)
brv$plot_opt_path_progress()
brv$plot_threshold_progress()
})
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