Repeated Cross Validation Resampling

Source: R/mlr_resamplings_repeated_cv.R

repeats times repeated folds-fold cross validation.

ResamplingRepeatedCV

Format

R6::R6Class() inheriting from Resampling.

Examples

# Create a task with 10 observations
task = mlr_tasks$get("iris")
task$filter(1:10)

# Instantiate Resampling
rrcv = mlr_resamplings$get("repeated_cv")
rrcv$param_set$values = list(repeats = 2, folds = 3)
rrcv$instantiate(task)
rrcv$iters
#> [1] 6

# Individual sets:
rrcv$train_set(1)
#> [1]  2  9 10  3  5  6
rrcv$test_set(1)
#> [1] 1 4 7 8
intersect(rrcv$train_set(1), rrcv$test_set(1))
#> integer(0)

# Internal storage:
rrcv$instance # table
#>     row_id rep fold
#>  1:      1   1    1
#>  2:      2   1    2
#>  3:      3   1    3
#>  4:      4   1    1
#>  5:      5   1    3
#>  6:      6   1    3
#>  7:      7   1    1
#>  8:      8   1    1
#>  9:      9   1    2
#> 10:     10   1    2
#> 11:      1   2    3
#> 12:      2   2    3
#> 13:      3   2    2
#> 14:      4   2    2
#> 15:      5   2    1
#> 16:      6   2    3
#> 17:      7   2    1
#> 18:      8   2    1
#> 19:      9   2    1
#> 20:     10   2    2