tests/testthat/test_mlr_learners_clust_fanny.R

In mlr3cluster: Cluster Extension for 'mlr3'

test_that("autotest", {
  learner = lrn("clust.fanny")
  expect_learner(learner)
  task = generate_tasks(learner)
  learner$train(task[[1L]])
  expect_class(learner$model, "fanny")
  expect_warning(learner$predict(task[[1L]]), "doesn't predict on new data")
})

test_that("Learner properties are respected", {
  task = tsk("usarrests")
  learner = lrn("clust.fanny")
  expect_learner(learner, task)

  # test on multiple paramsets
  parset_list = list(
    list(k = 2L),
    list(k = 5L),
    list(k = 2L, metric = "SqEuclidean")
  )

  for (type in c("partition", "prob")) {
    learner$predict_type = type
    for (parset in parset_list) {
      learner$param_set$values = parset

      p = suppressWarnings(learner$train(task)$predict(task))
      expect_prediction_clust(p, learner)
    }
  }
})

test_that("predict on training data matches assignments", {
  task = tsk("usarrests")
  learner = lrn("clust.fanny", k = 3L)
  learner$train(task)
  p = suppressWarnings(learner$predict(task))
  expect_identical(p$partition, learner$assignments)
})