nesting.md
In rsample: General Resampling Infrastructure

bad args

Code
  skip_if(new_rng_snapshots)
  set.seed(123)
  nested_cv(mtcars, outside = bootstraps(times = 5), inside = vfold_cv(v = 3))
Condition
  Warning:
  Using bootstrapping as the outer resample is dangerous since the inner resample might have the same data point in both the analysis and assessment set.
Output
  # Nested resampling:
  #  outer: Bootstrap sampling
  #  inner: 3-fold cross-validation
  # A tibble: 5 x 3
    splits          id         inner_resamples
    <list>          <chr>      <list>         
  1 <split [32/11]> Bootstrap1 <vfold [3 x 2]>
  2 <split [32/9]>  Bootstrap2 <vfold [3 x 2]>
  3 <split [32/10]> Bootstrap3 <vfold [3 x 2]>
  4 <split [32/14]> Bootstrap4 <vfold [3 x 2]>
  5 <split [32/11]> Bootstrap5 <vfold [3 x 2]>

Code
  nested_cv(mtcars, outside = vfold_cv(), inside = folds)
Condition
  Error in `list2()`:
  ! Argument 3 can't be empty.

printing

Code
  rs1
Output
  # Nested resampling:
  #  outer: 10-fold cross-validation
  #  inner: 3-fold cross-validation
  # A tibble: 10 x 3
     splits         id     inner_resamples
     <list>         <chr>  <list>         
   1 <split [27/3]> Fold01 <vfold [3 x 2]>
   2 <split [27/3]> Fold02 <vfold [3 x 2]>
   3 <split [27/3]> Fold03 <vfold [3 x 2]>
   4 <split [27/3]> Fold04 <vfold [3 x 2]>
   5 <split [27/3]> Fold05 <vfold [3 x 2]>
   6 <split [27/3]> Fold06 <vfold [3 x 2]>
   7 <split [27/3]> Fold07 <vfold [3 x 2]>
   8 <split [27/3]> Fold08 <vfold [3 x 2]>
   9 <split [27/3]> Fold09 <vfold [3 x 2]>
  10 <split [27/3]> Fold10 <vfold [3 x 2]>