tests/testthat/test-anova-overall.R

In tidymodels/finetune: Additional Functions for Model Tuning

test_that("formula interface", {
  skip_on_cran()
  skip_if_not_installed("Matrix", "1.6-2")
  skip_if_not_installed("lme4", "1.1-35.1")

  expect_snapshot({
    set.seed(1)
    res <- f_wflow %>%
      tune_race_anova(cell_folds,
                      grid = grid_mod,
                      control = control_race(verbose_elim = TRUE)
      )
  })
  expect_equal(class(res), c("tune_race", "tune_results", "tbl_df", "tbl", "data.frame"))
  expect_true(nrow(collect_metrics(res)) < nrow(grid_mod) * 3)
  expect_equal(res, .Last.tune.result)
  expect_null(.get_tune_eval_times(res))
  expect_null(.get_tune_eval_time_target(res))
})

# ------------------------------------------------------------------------------

test_that("recipe interface", {
  skip_on_cran()
  skip_if_not_installed("Matrix", "1.6-2")
  skip_if_not_installed("lme4", "1.1-35.1")
  expect_silent({
    set.seed(1)
    res <- rec_wflow %>%
      tune_race_anova(cell_folds,
                      grid = grid_mod_rec,
                      control = control_race(verbose_elim = FALSE)
      )
  })
  expect_equal(class(res), c("tune_race", "tune_results", "tbl_df", "tbl", "data.frame"))
  expect_true(nrow(collect_metrics(res)) < nrow(grid_mod) * 3)
  expect_equal(res, .Last.tune.result)
})

# ------------------------------------------------------------------------------

test_that("variable interface", {
  skip_on_cran()
  skip_if_not_installed("Matrix", "1.6-2")
  skip_if_not_installed("lme4", "1.1-35.1")

  expect_silent({
    set.seed(1)
    res <- var_wflow %>%
      tune_race_anova(cell_folds,
                      grid = grid_mod,
                      control = control_race(verbose_elim = FALSE)
      )
  })
  expect_equal(class(res), c("tune_race", "tune_results", "tbl_df", "tbl", "data.frame"))
  expect_true(nrow(collect_metrics(res))  < nrow(grid_mod) * 3)
  expect_equal(res, .Last.tune.result)
})

# ------------------------------------------------------------------------------


test_that("too few resamples", {
  skip_if_not_installed("Matrix", "1.6-2")
  skip_if_not_installed("lme4", "1.1-35.1")

  rs <- rsample::vfold_cv(modeldata::cells, v = 2)
  expect_snapshot_error(
    f_wflow %>%
      tune_race_anova(rs,
                      grid = grid_mod,
                      control = control_race(verbose_elim = TRUE)
      )
  )
  expect_snapshot_error(
    f_wflow %>%
      tune_race_win_loss(rs,
                         grid = grid_mod,
                         control = control_race(verbose_elim = TRUE)
      )
  )
})