grid.md
In tune: Tidy Tuning Tools

tune model only - failure in recipe is caught elegantly

Code
  cars_res <- tune_grid(helper_objects$svm_mod, preprocessor = rec, resamples = data_folds,
  grid = cars_grid, control = control_grid(extract = function(x) {
    1
  }, save_pred = TRUE))
Message
  x Fold1: preprocessor 1/1:
    Error in `step_bs()`:
    Caused by error in `if (...) NULL`:
    ! missing value where TRUE/FALSE needed
  x Fold2: preprocessor 1/1:
    Error in `step_bs()`:
    Caused by error in `if (...) NULL`:
    ! missing value where TRUE/FALSE needed
Condition
  Warning:
  All models failed. Run `show_notes(.Last.tune.result)` for more information.

tune model only - failure in formula is caught elegantly

Code
  cars_res <- tune_grid(helper_objects$svm_mod, y ~ z, resamples = data_folds,
  grid = cars_grid, control = control_grid(extract = function(x) {
    1
  }, save_pred = TRUE))
Message
  x Fold1: preprocessor 1/1:
    Error in `get_all_predictors()`:
    ! The following predictors were not found in `data`: 'z'.
  x Fold2: preprocessor 1/1:
    Error in `get_all_predictors()`:
    ! The following predictors were not found in `data`: 'z'.
Condition
  Warning:
  All models failed. Run `show_notes(.Last.tune.result)` for more information.

argument order gives errors for recipes

Code
  tune_grid(helper_objects$rec_tune_1, helper_objects$lm_mod, rsample::vfold_cv(
    mtcars, v = 2))
Condition
  Error in `tune_grid()`:
  ! The first argument to [tune_grid()] should be either a model or workflow.

argument order gives errors for formula

Code
  tune_grid(mpg ~ ., helper_objects$lm_mod, rsample::vfold_cv(mtcars, v = 2))
Condition
  Error in `tune_grid()`:
  ! The first argument to [tune_grid()] should be either a model or workflow.

ellipses with tune_grid

Code
  tune_grid(wflow, resamples = folds, grid = 3, something = "wrong")
Condition
  Warning:
  The `...` are not used in this function but one or more objects were passed: 'something'
Output
  # Tuning results
  # 10-fold cross-validation 
  # A tibble: 10 x 4
     splits         id     .metrics         .notes          
     <list>         <chr>  <list>           <list>          
   1 <split [28/4]> Fold01 <tibble [4 x 5]> <tibble [0 x 3]>
   2 <split [28/4]> Fold02 <tibble [4 x 5]> <tibble [0 x 3]>
   3 <split [29/3]> Fold03 <tibble [4 x 5]> <tibble [0 x 3]>
   4 <split [29/3]> Fold04 <tibble [4 x 5]> <tibble [0 x 3]>
   5 <split [29/3]> Fold05 <tibble [4 x 5]> <tibble [0 x 3]>
   6 <split [29/3]> Fold06 <tibble [4 x 5]> <tibble [0 x 3]>
   7 <split [29/3]> Fold07 <tibble [4 x 5]> <tibble [0 x 3]>
   8 <split [29/3]> Fold08 <tibble [4 x 5]> <tibble [0 x 3]>
   9 <split [29/3]> Fold09 <tibble [4 x 5]> <tibble [0 x 3]>
  10 <split [29/3]> Fold10 <tibble [4 x 5]> <tibble [0 x 3]>