notes.md
In 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` in step 'st...
  x Fold02: preprocessor 1/1, model 1/1 (predictions):
    Error in `step_date()`:
    ! The following required column is missing from `new_data` in step 'st...
  x Fold03: preprocessor 1/1, model 1/1 (predictions):
    Error in `step_date()`:
    ! The following required column is missing from `new_data` in step 'st...
  x Fold04: preprocessor 1/1, model 1/1 (predictions):
    Error in `step_date()`:
    ! The following required column is missing from `new_data` in step 'st...
  x Fold05: preprocessor 1/1, model 1/1 (predictions):
    Error in `step_date()`:
    ! The following required column is missing from `new_data` in step 'st...
  x Fold06: preprocessor 1/1, model 1/1 (predictions):
    Error in `step_date()`:
    ! The following required column is missing from `new_data` in step 'st...
  x Fold07: preprocessor 1/1, model 1/1 (predictions):
    Error in `step_date()`:
    ! The following required column is missing from `new_data` in step 'st...
  x Fold08: preprocessor 1/1, model 1/1 (predictions):
    Error in `step_date()`:
    ! The following required column is missing from `new_data` in step 'st...
  x Fold09: preprocessor 1/1, model 1/1 (predictions):
    Error in `step_date()`:
    ! The following required column is missing from `new_data` in step 'st...
  x Fold10: preprocessor 1/1, model 1/1 (predictions):
    Error in `step_date()`:
    ! The following required column is missing from `new_data` in step 'st...
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` in step 'step_date': date.

Code
  res_simple <- simple_wflow %>% fit_resamples(rs)
Message
  ! Fold01: preprocessor 1/1, model 1/1 (predictions): prediction from a rank-deficient fit may be misleading
  ! Fold02: preprocessor 1/1, model 1/1 (predictions): prediction from a rank-deficient fit may be misleading
  ! Fold03: preprocessor 1/1, model 1/1 (predictions): prediction from a rank-deficient fit may be misleading
  ! Fold04: preprocessor 1/1, model 1/1 (predictions): prediction from a rank-deficient fit may be misleading
  ! Fold05: preprocessor 1/1, model 1/1 (predictions): prediction from a rank-deficient fit may be misleading
  ! Fold06: preprocessor 1/1, model 1/1 (predictions): prediction from a rank-deficient fit may be misleading
  ! Fold07: preprocessor 1/1, model 1/1 (predictions): prediction from a rank-deficient fit may be misleading
  ! Fold08: preprocessor 1/1, model 1/1 (predictions): prediction from a rank-deficient fit may be misleading
  ! Fold09: preprocessor 1/1, model 1/1 (predictions): prediction from a rank-deficient fit may be misleading
  ! Fold10: preprocessor 1/1, model 1/1 (predictions): prediction from a rank-deficient fit may be misleading

Code
  show_notes(res_simple)
Output
  unique notes:
  ------------------------------------------------------
  prediction from a rank-deficient fit may be misleading

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:
    There was 1 warning in `dplyr::summarise()`.
    i In argument: `.estimate = metric_fn(...)`.
    Caused by warning:
    ! No control observations were detected in `truth` with control level ...
  ! Fold02: preprocessor 1/1, model 1/1: glm.fit: algorithm did not converge, glm.fit: fitted probabilities numer...
  ! Fold02: internal:
    There was 1 warning in `dplyr::summarise()`.
    i In argument: `.estimate = metric_fn(...)`.
    Caused by warning:
    ! No control observations were detected in `truth` with control level ...
  ! Fold03: preprocessor 1/1, model 1/1: glm.fit: algorithm did not converge, glm.fit: fitted probabilities numer...
  ! Fold03: internal:
    There was 1 warning in `dplyr::summarise()`.
    i In argument: `.estimate = metric_fn(...)`.
    Caused by warning:
    ! No control observations were detected in `truth` with control level ...
  ! Fold04: preprocessor 1/1, model 1/1: glm.fit: algorithm did not converge, glm.fit: fitted probabilities numer...
  ! Fold04: internal:
    There was 1 warning in `dplyr::summarise()`.
    i In argument: `.estimate = metric_fn(...)`.
    Caused by warning:
    ! No control observations were detected in `truth` with control level ...
  ! Fold05: preprocessor 1/1, model 1/1: glm.fit: algorithm did not converge, glm.fit: fitted probabilities numer...
  ! Fold05: internal:
    There was 1 warning in `dplyr::summarise()`.
    i In argument: `.estimate = metric_fn(...)`.
    Caused by warning:
    ! No control observations were detected in `truth` with control level ...
  ! Fold06: preprocessor 1/1, model 1/1: glm.fit: algorithm did not converge, glm.fit: fitted probabilities numer...
  ! Fold06: internal:
    There was 1 warning in `dplyr::summarise()`.
    i In argument: `.estimate = metric_fn(...)`.
    Caused by warning:
    ! No control observations were detected in `truth` with control level ...
  ! Fold07: preprocessor 1/1, model 1/1: glm.fit: algorithm did not converge, glm.fit: fitted probabilities numer...
  ! Fold07: internal:
    There was 1 warning in `dplyr::summarise()`.
    i In argument: `.estimate = metric_fn(...)`.
    Caused by warning:
    ! No control observations were detected in `truth` with control level ...
  ! 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:
    There was 1 warning in `dplyr::summarise()`.
    i In argument: `.estimate = metric_fn(...)`.
    Caused by warning:
    ! No control observations were detected in `truth` with control level ...
  ! Fold10: preprocessor 1/1, model 1/1: glm.fit: algorithm did not converge, glm.fit: fitted probabilities numer...
  ! Fold10: internal:
    There was 1 warning in `dplyr::summarise()`.
    i In argument: `.estimate = metric_fn(...)`.
    Caused by warning:
    ! No control observations were detected in `truth` with control level ...

Code
  show_notes(fit_lr)
Output
  unique notes:
  --------------------------------------------------------------------------------
  glm.fit: algorithm did not converge, glm.fit: fitted probabilities numerically 0 or 1 occurred
  --------------------------------------------------------------------------------
  There was 1 warning in `dplyr::summarise()`.
  i In argument: `.estimate = metric_fn(...)`.
  Caused by warning:
  ! No control observations were detected in `truth` with control level 'class_2'.
  --------------------------------------------------------------------------------
  glm.fit: algorithm did not converge