tests/testthat/_snaps/misc.md

In rsample: General Resampling Infrastructure

reverse_splits is working

Code
  reverse_splits(1)
Condition
  Error in `reverse_splits()`:
  ! `x` must be either an `rsplit` or an `rset` object

Code
  reverse_splits(permutes)
Condition
  Error in `reverse_splits()`:
  ! Permutations cannot have their splits reversed

Code
  reverse_splits(permutes$splits[[1]])
Condition
  Error in `reverse_splits()`:
  ! Permutations cannot have their splits reversed

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

Cannot reshuffle this rset (`attr(rset, 'strata')` is `TRUE`, not a column identifier)

`manual_rset` objects cannot be reshuffled

`rset` must be an rset object

get_rsplit()

Code
  get_rsplit(val, 3)
Condition
  Error in `get_rsplit()`:
  ! `index` must be a length-1 integer between 1 and 1.
  x A value of 3 was provided.

Code
  get_rsplit(val, c(1, 2))
Condition
  Error in `get_rsplit()`:
  ! `index` must be a length-1 integer between 1 and 1.
  x Index was of length 2.

Code
  get_rsplit(val, 1.5)
Condition
  Error in `get_rsplit()`:
  ! `index` must be a length-1 integer between 1 and 1.
  x A value of 1.5 was provided.

Code
  get_rsplit(warpbreaks, 1)
Condition
  Error in `get_rsplit()`:
  ! No `get_rsplit()` method for this class(es) 'data.frame'

rsample documentation built on Aug. 23, 2023, 5:08 p.m.