Nothing
Code
rs4 <- vfold_cv(mlc_churn, strata = state, pool = 0.01)
Condition
Warning:
Stratifying groups that make up 1% of the data may be statistically risky.
* Consider increasing `pool` to at least 0.1
`v` must be a single positive integer greater than 1
`v` must be a single positive integer greater than 1
`v` must be a single positive integer greater than 1
The number of rows is less than `v = 500`
Repeated resampling when `v` is 150 would create identical resamples
`repeats` must be a single positive integer
`repeats` must be a single positive integer
Code
vfold_cv(mtcars)
Output
# 10-fold cross-validation
# A tibble: 10 x 2
splits id
<list> <chr>
1 <split [28/4]> Fold01
2 <split [28/4]> Fold02
3 <split [29/3]> Fold03
4 <split [29/3]> Fold04
5 <split [29/3]> Fold05
6 <split [29/3]> Fold06
7 <split [29/3]> Fold07
8 <split [29/3]> Fold08
9 <split [29/3]> Fold09
10 <split [29/3]> Fold10
Repeated resampling when `v` is 4 would create identical resamples
Repeated resampling when `v` is `NULL` would create identical resamples
Code
group_vfold_cv(Orange, v = 1, group = "Tree")
Condition
Error in `group_vfold_cv()`:
! `v` must be a single positive integer greater than 1
Code
rs1
Output
# Group 5-fold cross-validation
# A tibble: 5 x 2
splits id
<list> <chr>
1 <split [2364/566]> Resample1
2 <split [2371/559]> Resample2
3 <split [2360/570]> Resample3
4 <split [2278/652]> Resample4
5 <split [2347/583]> Resample5
Code
sizes4
Output
# A tibble: 5 x 5
analysis assessment n p id
<int> <int> <int> <int> <chr>
1 80004 19996 100000 3 Resample1
2 79850 20150 100000 3 Resample2
3 79912 20088 100000 3 Resample3
4 80131 19869 100000 3 Resample4
5 80103 19897 100000 3 Resample5
Leaving `v = NULL` while using stratification will set `v` to the number of groups present in the least common stratum.
i Set `v` explicitly to override this warning.
Code
sizes5
Output
# A tibble: 5 x 5
analysis assessment n p id
<int> <int> <int> <int> <chr>
1 80096 19904 100000 3 Resample1
2 79962 20038 100000 3 Resample2
3 79928 20072 100000 3 Resample3
4 80058 19942 100000 3 Resample4
5 79956 20044 100000 3 Resample5
Leaving `v = NULL` while using stratification will set `v` to the number of groups present in the least common stratum.
i Set `v` explicitly to override this warning.
Code
group_vfold_cv(warpbreaks, "tension")
Output
# Group 3-fold cross-validation
# A tibble: 3 x 2
splits id
<list> <chr>
1 <split [36/18]> Resample1
2 <split [36/18]> Resample2
3 <split [36/18]> Resample3
Code
print(group_vfold_cv(warpbreaks, "tension"), n = 2)
Output
# Group 3-fold cross-validation
# A tibble: 3 x 2
splits id
<list> <chr>
1 <split [36/18]> Resample1
2 <split [36/18]> Resample2
# i 1 more row
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.