tests/testthat/_snaps/logging.md

In tune: Tidy Tuning Tools

low-level messages

Code
  tune:::siren("a", "werewolf")
Condition
  Error in `match.arg()`:
  ! 'arg' should be one of "warning", "go", "danger", "success", "info"

Code
  tune:::siren("bat", "info")
Message
  i bat

Code
  tune:::siren("bat", "go")
Message
  > bat

Code
  tune:::siren("bat", "danger")
Message
  x bat

Code
  tune:::siren("bat", "warning")
Message
  ! bat

Code
  tune:::siren("bat", "success")
Message
  v bat

tune_log

Code
  tune:::tune_log(ctrl_t, rs, task = "cube", type = "go")
Message
  > Fold01: cube
Output
  NULL

Code
  tune:::tune_log(ctrl_t, NULL, task = "cube", type = "go")
Message
  > cube
Output
  NULL

Code
  tune:::tune_log(ctrl_t, rs, task = "cube", type = "success")
Message
  v Fold01: cube
Output
  NULL

log issues

Code
  expect_equal(tune:::log_problems(note_1, ctrl_f, rs, "toledo", res_1, bad_only = FALSE),
  dplyr::bind_rows(note_1, note_2))
Message
  x Fold01: toledo: Error in log("a"): non-numeric argument to mathematical function

Code
  expect_equal(tune:::log_problems(note_1, ctrl_f, rs, "toledo", res_3, bad_only = FALSE),
  dplyr::bind_rows(note_1, note_3))
Message
  ! Fold01: toledo: NaNs produced

catch and log issues

Code
  out_1 <- tune:::.catch_and_log(log("a"), ctrl_f, rs, "toledo", bad_only = FALSE,
  notes = null)
Message
  x Fold01: toledo: Error in log("a"): non-numeric argument to mathematical function

Code
  out_3 <- tune:::.catch_and_log(log(-1), ctrl_f, rs, "toledo", bad_only = FALSE,
  notes = null)
Message
  ! Fold01: toledo: NaNs produced

Code
  out_5 <- tune:::.catch_and_log(log("a"), ctrl_f, NULL, "toledo", bad_only = FALSE,
  notes = null)
Message
  x toledo: Error in log("a"): non-numeric argument to mathematical function

Code
  out_6 <- tune:::.catch_and_log(log(-1), ctrl_f, NULL, "toledo", bad_only = FALSE,
  notes = null)
Message
  ! toledo: NaNs produced

logging iterations

Code
  tune:::log_best(ctrl_t, 10, sc_1)
Message

  -- Iteration 10 ----------------------------------------------------------------

  i Current best:       0.8=7 (@iter 2)
Output
  NULL

logging search info

Code
  tune:::check_and_log_flow(ctrl_t, tb_1 %>% mutate(.mean = .mean * NA))
Message
  x Skipping to next iteration
Condition
  Error:
  ! no loop for break/next, jumping to top level

Code
  tune:::check_and_log_flow(ctrl_t, tb_1 %>% mutate(.mean = .mean * NA) %>% slice(
    1))
Message
  x Halting search
Condition
  Error:
  ! no loop for break/next, jumping to top level

current results

Code
  tune:::log_progress(ctrl_t, tb_2, maximize = FALSE, objective = "a")
Message
  (x) Newest results:   a=4 (+/-0.4)

Code
  tune:::log_progress(ctrl_t, tb_2, maximize = TRUE, objective = "b")
Message
  <3 Newest results:    b=8 (+/-0.8)

Code
  tune:::log_progress(ctrl_t, tb_2, maximize = TRUE, objective = "a")
Message
  <3 Newest results:    a=4 (+/-0.4)

show parameters

Code
  tune:::param_msg(ctrl_t, iris[1, 4:5])
Message
  i Petal.Width=0.2, Species=setosa

acquisition functions

Code
  tune:::acq_summarizer(ctrl_t, 1, conf_bound(I))
Message
  i Kappa value: 1

Code
  tune:::acq_summarizer(ctrl_t, 1, exp_improve(I))
Message
  i Trade-off value: 1

Code
  tune:::acq_summarizer(ctrl_t, 1, prob_improve(I))
Message
  i Trade-off value: 1

tune documentation built on Aug. 24, 2023, 1:09 a.m.