tests/testthat/_snaps/collect.md

In tidymodels/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. Please refit with the control argument `save_pred = TRUE` to save predictions.

collect_predictions() errors informatively applied to unsupported class

Code
  collect_predictions(lm(mpg ~ disp, mtcars))
Condition
  Error in `collect_predictions()`:
  ! No `collect_predictions()` exists for a <lm> object.

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 rank-deficient fit; consider predict(., rankdeficient="NA")
  ! Bootstrap2: preprocessor 1/1, model 1/1 (predictions): prediction from rank-deficient fit; consider predict(., rankdeficient="NA")

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 4]>
  2 <split [32/17]> Bootstrap2 <tibble [2 x 4]> <tibble [1 x 4]>

  There were issues with some computations:

    - Warning(s) x2: prediction from rank-deficient fit; consider predict(., rankdefic...

  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 rank-deficient fit; consider predict(., rankdeficient="NA")

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 rank-deficient fit; consider predict(., rankdefic...

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

collect_notes() errors informatively applied to unsupported class

Code
  collect_notes(lm(mpg ~ disp, mtcars))
Condition
  Error in `collect_notes()`:
  ! No `collect_notes()` exists for a <lm> object.

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

collect_extracts() errors informatively applied to unsupported class

Code
  collect_extracts(lm(mpg ~ disp, mtcars))
Condition
  Error in `collect_extracts()`:
  ! No `collect_extracts()` exists for a <lm> object.

collect_metrics() errors informatively applied to unsupported class

Code
  collect_metrics(lm(mpg ~ disp, mtcars))
Condition
  Error in `collect_metrics()`:
  ! No `collect_metrics()` exists for a <lm> object.

collect_metrics(type) errors informatively with bad input

Code
  collect_metrics(ames_grid_search, type = "boop")
Condition
  Error in `collect_metrics()`:
  ! `type` must be one of "long" or "wide", not "boop".

Code
  collect_metrics(ames_grid_search, type = NULL)
Condition
  Error in `collect_metrics()`:
  ! `type` must be a string or character vector.

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