tests/testthat/_snaps/collect.md

In tune: Tidy Tuning Tools

collect_predictions() errors informatively if there is no .predictions column

Code
  collect_predictions(lm_splines %>% dplyr::select(-.predictions))
Condition
  Error in `collect_predictions()`:
  ! The `.predictions` column does not exist. Refit with the control argument `save_pred = TRUE` to save predictions.

bad filter grid

Code
  collect_predictions(svm_tune, parameters = tibble(wrong = "value"))
Condition
  Error in `filter_predictions()`:
  ! `parameters` should only have columns: 'cost value'

collecting notes - fit_resamples

Code
  lm_splines <- fit_resamples(lin_mod, mpg ~ ., flds)
Message
  ! Bootstrap1: preprocessor 1/1, model 1/1 (predictions): prediction from a rank-deficient fit may be misleading
  ! Bootstrap2: preprocessor 1/1, model 1/1 (predictions): prediction from a rank-deficient fit may be misleading

Code
  lm_splines
Output
  # Resampling results
  # Bootstrap sampling 
  # A tibble: 2 x 4
    splits          id         .metrics         .notes          
    <list>          <chr>      <list>           <list>          
  1 <split [32/13]> Bootstrap1 <tibble [2 x 4]> <tibble [1 x 3]>
  2 <split [32/17]> Bootstrap2 <tibble [2 x 4]> <tibble [1 x 3]>

  There were issues with some computations:

    - Warning(s) x2: prediction from a rank-deficient fit may be misleading

  Run `show_notes(.Last.tune.result)` for more information.

collecting notes - last_fit

Code
  lst <- last_fit(lin_mod, mpg ~ ., split)
Message
  ! train/test split: preprocessor 1/1, model 1/1 (predictions): prediction from a rank-deficient fit may be misleading

Code
  lst
Output
  # Resampling results
  # Manual resampling 
  # A tibble: 1 x 6
    splits         id               .metrics .notes   .predictions     .workflow 
    <list>         <chr>            <list>   <list>   <list>           <list>    
  1 <split [24/8]> train/test split <tibble> <tibble> <tibble [8 x 4]> <workflow>

  There were issues with some computations:

    - Warning(s) x1: prediction from a rank-deficient fit may be misleading

  Run `show_notes(.Last.tune.result)` for more information.

collecting extracted objects - fit_resamples

Code
  collect_extracts(res_fit)
Output
  # A tibble: 5 x 3
    id         .extracts .config             
    <chr>      <list>    <chr>               
  1 Bootstrap1 <lm>      Preprocessor1_Model1
  2 Bootstrap2 <lm>      Preprocessor1_Model1
  3 Bootstrap3 <lm>      Preprocessor1_Model1
  4 Bootstrap4 <lm>      Preprocessor1_Model1
  5 Bootstrap5 <lm>      Preprocessor1_Model1

Code
  collect_extracts(res_nothing)
Condition
  Error in `collect_extracts()`:
  ! The `.extracts` column does not exist.
  i Please supply a control object (`?tune::control_grid()`) with a non-`NULL` `extract` argument during resample fitting.

Code
  collect_extracts(res_error)
Output
  # A tibble: 5 x 3
    id         .extracts      .config             
    <chr>      <list>         <chr>               
  1 Bootstrap1 <try-errr [1]> Preprocessor1_Model1
  2 Bootstrap2 <try-errr [1]> Preprocessor1_Model1
  3 Bootstrap3 <try-errr [1]> Preprocessor1_Model1
  4 Bootstrap4 <try-errr [1]> Preprocessor1_Model1
  5 Bootstrap5 <try-errr [1]> Preprocessor1_Model1

Code
  collect_extracts("boop")
Condition
  Error in `collect_extracts()`:
  ! No `collect_extracts()` exists for this type of object.

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