# example only runs if mlflow is available
if (mlr3misc::require_namespaces("mlflow", quietly = TRUE)) {
clbk("mlr3tuning.async_mlflow", tracking_uri = "http://localhost:5000")
if (FALSE) {
rush::rush_plan(n_workers = 4)
learner = lrn("classif.rpart",
minsplit = to_tune(2, 128),
cp = to_tune(1e-04, 1e-1))
instance = TuningInstanceAsyncSingleCrit$new(
task = tsk("pima"),
learner = learner,
resampling = rsmp("cv", folds = 3),
measure = msr("classif.ce"),
terminator = trm("evals", n_evals = 20),
store_benchmark_result = FALSE,
callbacks = clbk("mlr3tuning.rush_mlflow", tracking_uri = "http://localhost:8080")
)
tuner = tnr("random_search_v2")
tuner$optimize(instance)
}}
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