skip_if_not_installed("mclust")
test_that("autotest", {
learner = lrn("clust.mclust")
expect_learner(learner)
result = run_autotest(learner)
expect_true(result, info = result$error)
})
test_that("Learner properties are respected", {
task = tsk("usarrests")
learner = lrn("clust.mclust")
expect_learner(learner, task)
# test on multiple paramsets
parset_list = list(
list(G = 1:4, modelNames = "EII"),
list(initialization = list(noise = 1)),
list(G = 3)
)
for (i in seq_along(parset_list)) {
parset = parset_list[[i]]
learner$param_set$values = parset
p = suppressWarnings(learner$train(task)$predict(task))
expect_prediction_clust(p)
if ("complete" %chin% learner$properties) {
expect_prediction_complete(p, learner$predict_type)
}
if ("exclusive" %chin% learner$properties) {
expect_prediction_exclusive(p, learner$predict_type)
}
if ("fuzzy" %chin% learner$properties) {
expect_prediction_fuzzy(p)
}
}
})
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