tests/testthat/_snaps/notes.md

In tidymodels/tune: Tidy Tuning Tools

showing notes

Code
  res_roles <- role_bp_wflow %>% fit_resamples(rs)
Message
  x Fold01: preprocessor 1/1, model 1/1 (predictions):
    Error in `step_date()`:
    ! The following required column is missing from `new_data`: date.
  x Fold02: preprocessor 1/1, model 1/1 (predictions):
    Error in `step_date()`:
    ! The following required column is missing from `new_data`: date.
  x Fold03: preprocessor 1/1, model 1/1 (predictions):
    Error in `step_date()`:
    ! The following required column is missing from `new_data`: date.
  x Fold04: preprocessor 1/1, model 1/1 (predictions):
    Error in `step_date()`:
    ! The following required column is missing from `new_data`: date.
  x Fold05: preprocessor 1/1, model 1/1 (predictions):
    Error in `step_date()`:
    ! The following required column is missing from `new_data`: date.
  x Fold06: preprocessor 1/1, model 1/1 (predictions):
    Error in `step_date()`:
    ! The following required column is missing from `new_data`: date.
  x Fold07: preprocessor 1/1, model 1/1 (predictions):
    Error in `step_date()`:
    ! The following required column is missing from `new_data`: date.
  x Fold08: preprocessor 1/1, model 1/1 (predictions):
    Error in `step_date()`:
    ! The following required column is missing from `new_data`: date.
  x Fold09: preprocessor 1/1, model 1/1 (predictions):
    Error in `step_date()`:
    ! The following required column is missing from `new_data`: date.
  x Fold10: preprocessor 1/1, model 1/1 (predictions):
    Error in `step_date()`:
    ! The following required column is missing from `new_data`: date.
Condition
  Warning:
  All models failed. Run `show_notes(.Last.tune.result)` for more information.

Code
  show_notes(res_roles)
Output
  unique notes:
  -----------------------------------------------------------------
  Error in `step_date()`:
  ! The following required column is missing from `new_data`: date.

Code
  res_simple <- simple_wflow %>% fit_resamples(rs)
Message
  ! Fold01: preprocessor 1/1, model 1/1 (predictions): prediction from rank-deficient fit; consider predict(., rankdeficient="NA")
  ! Fold02: preprocessor 1/1, model 1/1 (predictions): prediction from rank-deficient fit; consider predict(., rankdeficient="NA")
  ! Fold03: preprocessor 1/1, model 1/1 (predictions): prediction from rank-deficient fit; consider predict(., rankdeficient="NA")
  ! Fold04: preprocessor 1/1, model 1/1 (predictions): prediction from rank-deficient fit; consider predict(., rankdeficient="NA")
  ! Fold05: preprocessor 1/1, model 1/1 (predictions): prediction from rank-deficient fit; consider predict(., rankdeficient="NA")
  ! Fold06: preprocessor 1/1, model 1/1 (predictions): prediction from rank-deficient fit; consider predict(., rankdeficient="NA")
  ! Fold07: preprocessor 1/1, model 1/1 (predictions): prediction from rank-deficient fit; consider predict(., rankdeficient="NA")
  ! Fold08: preprocessor 1/1, model 1/1 (predictions): prediction from rank-deficient fit; consider predict(., rankdeficient="NA")
  ! Fold09: preprocessor 1/1, model 1/1 (predictions): prediction from rank-deficient fit; consider predict(., rankdeficient="NA")
  ! Fold10: preprocessor 1/1, model 1/1 (predictions): prediction from rank-deficient fit; consider predict(., rankdeficient="NA")

Code
  show_notes(res_simple)
Output
  unique notes:
  ---------------------------------------------------------------------------
  prediction from rank-deficient fit; consider predict(., rankdeficient="NA")

Code
  show_notes(.Last.tune.result)
Output
  Great job! No notes to show.

Code
  fit_lr <- parsnip::logistic_reg() %>% fit_resamples(class ~ ., rs)
Message
  ! Fold01: preprocessor 1/1, model 1/1: glm.fit: algorithm did not converge, glm.fit: fitted probabilities numer...
  ! Fold01: internal: No control observations were detected in `truth` with control level 'cla...
  ! Fold02: preprocessor 1/1, model 1/1: glm.fit: algorithm did not converge, glm.fit: fitted probabilities numer...
  ! Fold02: internal: No control observations were detected in `truth` with control level 'cla...
  ! Fold03: preprocessor 1/1, model 1/1: glm.fit: algorithm did not converge, glm.fit: fitted probabilities numer...
  ! Fold03: internal: No control observations were detected in `truth` with control level 'cla...
  ! Fold04: preprocessor 1/1, model 1/1: glm.fit: algorithm did not converge, glm.fit: fitted probabilities numer...
  ! Fold04: internal: No control observations were detected in `truth` with control level 'cla...
  ! Fold05: preprocessor 1/1, model 1/1: glm.fit: algorithm did not converge, glm.fit: fitted probabilities numer...
  ! Fold05: internal: No control observations were detected in `truth` with control level 'cla...
  ! Fold06: preprocessor 1/1, model 1/1: glm.fit: algorithm did not converge, glm.fit: fitted probabilities numer...
  ! Fold06: internal: No control observations were detected in `truth` with control level 'cla...
  ! Fold07: preprocessor 1/1, model 1/1: glm.fit: algorithm did not converge, glm.fit: fitted probabilities numer...
  ! Fold07: internal: No control observations were detected in `truth` with control level 'cla...
  ! Fold08: preprocessor 1/1, model 1/1: glm.fit: algorithm did not converge
  ! Fold09: preprocessor 1/1, model 1/1: glm.fit: algorithm did not converge, glm.fit: fitted probabilities numer...
  ! Fold09: internal: No control observations were detected in `truth` with control level 'cla...
  ! Fold10: preprocessor 1/1, model 1/1: glm.fit: algorithm did not converge, glm.fit: fitted probabilities numer...
  ! Fold10: internal: No control observations were detected in `truth` with control level 'cla...

Code
  show_notes(fit_lr)
Output
  unique notes:
  --------------------------------------------------------------------------------
  glm.fit: algorithm did not converge, glm.fit: fitted probabilities numerically 0 or 1 occurred
  --------------------------------------------------------------------------------
  No control observations were detected in `truth` with control level 'class_2'.
  --------------------------------------------------------------------------------
  glm.fit: algorithm did not converge

tidymodels/tune documentation built on April 12, 2025, 9:40 p.m.