tests/testthat/_snaps/collect.md

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.

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'

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.


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tune documentation built on May 29, 2024, 7:32 a.m.