tests/testthat/_snaps/mc.md

In tidymodels/rsample: General Resampling Infrastructure

bad args

Code
  mc_cv(mtcars, prop = -1)
Condition
  Error in `mc_cv()`:
  ! `prop` must be greater than 0.

Code
  mc_cv(mtcars, prop = 1)
Condition
  Error in `mc_cv()`:
  ! `prop` must be less than 1.

Code
  mc_cv(warpbreaks, strata = warpbreaks$tension)
Condition
  Error in `mc_cv()`:
  ! Can't select columns that don't exist.
  x Columns `L`, `L`, `L`, `L`, `L`, etc. don't exist.

Code
  mc_cv(warpbreaks, strata = c("tension", "wool"))
Condition
  Error in `mc_cv()`:
  ! `strata` must be a single string or `NULL`, not a character vector.

printing

Code
  mc_cv(warpbreaks)
Output
  # Monte Carlo cross-validation (0.75/0.25) with 25 resamples 
  # A tibble: 25 x 2
     splits          id        
     <list>          <chr>     
   1 <split [40/14]> Resample01
   2 <split [40/14]> Resample02
   3 <split [40/14]> Resample03
   4 <split [40/14]> Resample04
   5 <split [40/14]> Resample05
   6 <split [40/14]> Resample06
   7 <split [40/14]> Resample07
   8 <split [40/14]> Resample08
   9 <split [40/14]> Resample09
  10 <split [40/14]> Resample10
  # i 15 more rows

grouping - bad args

Code
  group_mc_cv(warpbreaks, group = warpbreaks$tension)
Condition
  Error in `validate_group()`:
  ! Can't select columns that don't exist.
  x Columns `L`, `L`, `L`, `L`, `L`, etc. don't exist.

Code
  group_mc_cv(warpbreaks, group = c("tension", "wool"))
Condition
  Error in `group_mc_cv()`:
  ! `group` must be a single string, not a character vector.

Code
  group_mc_cv(warpbreaks, group = "tensio")
Condition
  Error in `validate_group()`:
  ! Can't select columns that don't exist.
  x Column `tensio` doesn't exist.

Code
  group_mc_cv(warpbreaks)
Condition
  Error in `group_mc_cv()`:
  ! `group` must be a single string, not `NULL`.

Code
  group_mc_cv(mtcars, group = "cyl", prop = 1)
Condition
  Error in `group_mc_cv()`:
  ! `prop` must be less than 1.

Code
  group_mc_cv(warpbreaks, group = "tension", balance = "groups")
Condition
  Error in `group_mc_cv()`:
  ! `...` must be empty.
  x Problematic argument:
  * balance = "groups"

Code
  group_mc_cv(warpbreaks, group = "tension", prop = 0.99)
Condition
  Error in `group_mc_cv()`:
  ! Some assessment sets contained zero rows
  i Consider using a non-grouped resampling method

grouping -- strata

Code
  sizes4
Output
  # A tibble: 5 x 5
    analysis assessment     n     p id       
       <int>      <int> <int> <int> <chr>    
  1    37939      12061 50000     3 Resample1
  2    37063      12937 50000     3 Resample2
  3    37178      12822 50000     3 Resample3
  4    37950      12050 50000     3 Resample4
  5    37585      12415 50000     3 Resample5

grouping - printing

Code
  group_mc_cv(warpbreaks, "tension")
Output
  # Group Monte Carlo cross-validation (0.75/0.25) with 25 resamples  
  # A tibble: 25 x 2
     splits          id        
     <list>          <chr>     
   1 <split [36/18]> Resample01
   2 <split [36/18]> Resample02
   3 <split [36/18]> Resample03
   4 <split [36/18]> Resample04
   5 <split [36/18]> Resample05
   6 <split [36/18]> Resample06
   7 <split [36/18]> Resample07
   8 <split [36/18]> Resample08
   9 <split [36/18]> Resample09
  10 <split [36/18]> Resample10
  # i 15 more rows

grouping - printing with ...

Code
  print(group_mc_cv(warpbreaks, "tension"), n = 2)
Output
  # Group Monte Carlo cross-validation (0.75/0.25) with 25 resamples  
  # A tibble: 25 x 2
    splits          id        
    <list>          <chr>     
  1 <split [36/18]> Resample01
  2 <split [36/18]> Resample02
  # i 23 more rows

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