Cross Validation Resampling

Source: R/mlr_resamplings_cv.R

Cross validation with folds folds (default: 10).

ResamplingCV

Format

R6::R6Class inheriting from Resampling.

Examples

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

# Instantiate Resampling
rcv = mlr_resamplings$get("cv")
rcv$param_set$values = list(folds = 3)
rcv$instantiate(task)

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

# Internal storage:
rcv$instance # table
#>     row_id fold
#>  1:      2    1
#>  2:      3    1
#>  3:      5    1
#>  4:      7    1
#>  5:      4    2
#>  6:      9    2
#>  7:     10    2
#>  8:      1    3
#>  9:      6    3
#> 10:      8    3