tests/testthat/_snaps/reshuffle_rset.md

reshuffle_rset is working

Code
  reshuffle_rset(rset_subclasses[[non_random_classes[[i]]]])
Condition
  Warning:
  `reshuffle_rset()` will return an identical <rset> when called on <sliding_index> objects.
Output
  # Sliding index resampling 
  # A tibble: 49 x 2
     splits        id     
     <list>        <chr>  
   1 <split [1/1]> Slice01
   2 <split [1/1]> Slice02
   3 <split [1/1]> Slice03
   4 <split [1/1]> Slice04
   5 <split [1/1]> Slice05
   6 <split [1/1]> Slice06
   7 <split [1/1]> Slice07
   8 <split [1/1]> Slice08
   9 <split [1/1]> Slice09
  10 <split [1/1]> Slice10
  # i 39 more rows
Code
  reshuffle_rset(rset_subclasses[[non_random_classes[[i]]]])
Condition
  Warning:
  `reshuffle_rset()` will return an identical <rset> when called on <sliding_period> objects.
Output
  # Sliding period resampling 
  # A tibble: 7 x 2
    splits        id    
    <list>        <chr> 
  1 <split [7/7]> Slice1
  2 <split [7/7]> Slice2
  3 <split [7/7]> Slice3
  4 <split [7/7]> Slice4
  5 <split [7/7]> Slice5
  6 <split [7/7]> Slice6
  7 <split [7/1]> Slice7
Code
  reshuffle_rset(rset_subclasses[[non_random_classes[[i]]]])
Condition
  Warning:
  `reshuffle_rset()` will return an identical <rset> when called on <sliding_window> objects.
Output
  # Sliding window resampling 
  # A tibble: 49 x 2
     splits        id     
     <list>        <chr>  
   1 <split [1/1]> Slice01
   2 <split [1/1]> Slice02
   3 <split [1/1]> Slice03
   4 <split [1/1]> Slice04
   5 <split [1/1]> Slice05
   6 <split [1/1]> Slice06
   7 <split [1/1]> Slice07
   8 <split [1/1]> Slice08
   9 <split [1/1]> Slice09
  10 <split [1/1]> Slice10
  # i 39 more rows
Code
  reshuffle_rset(rset_subclasses[[non_random_classes[[i]]]])
Condition
  Warning:
  `reshuffle_rset()` will return an identical <rset> when called on <rolling_origin> objects.
Output
  # Rolling origin forecast resampling 
  # A tibble: 45 x 2
     splits         id     
     <list>         <chr>  
   1 <split [5/1]>  Slice01
   2 <split [6/1]>  Slice02
   3 <split [7/1]>  Slice03
   4 <split [8/1]>  Slice04
   5 <split [9/1]>  Slice05
   6 <split [10/1]> Slice06
   7 <split [11/1]> Slice07
   8 <split [12/1]> Slice08
   9 <split [13/1]> Slice09
  10 <split [14/1]> Slice10
  # i 35 more rows
Code
  reshuffle_rset(rset_subclasses[[non_random_classes[[i]]]])
Condition
  Warning:
  `reshuffle_rset()` will return an identical <rset> when called on <validation_time_split> objects.
Output
  # Validation Set Split (0.75/0.25)  
  # A tibble: 1 x 2
    splits          id        
    <list>          <chr>     
  1 <split [37/13]> validation
Code
  reshuffle_rset(rset_subclasses[[non_random_classes[[i]]]])
Condition
  Warning:
  `reshuffle_rset()` will return an identical <rset> when called on <validation_set> objects.
Output
  # A tibble: 1 x 2
    splits          id        
    <list>          <chr>     
  1 <split [30/10]> validation
Code
  reshuffle_rset(resample)
Condition
  Error in `reshuffle_rset()`:
  ! Cannot reshuffle this rset (`attr(rset, 'strata')` is "TRUE", not a column identifier)
  i If the original object was created with an older version of rsample, try recreating it with the newest version of the package.
Code
  reshuffle_rset(rset_subclasses[["manual_rset"]])
Condition
  Error in `reshuffle_rset()`:
  ! `manual_rset` objects cannot be reshuffled.
Code
  reshuffle_rset(rset_subclasses[["manual_rset"]]$splits[[1]])
Condition
  Error in `reshuffle_rset()`:
  ! `rset` must be an <rset> object.


tidymodels/rsample documentation built on Sept. 29, 2024, 10:48 p.m.