Dictionary of Resampling Strategies

A simple mlr3misc::Dictionary storing objects of class Resampling. Each resampling has an associated help page, see mlr_resamplings_[id].

This dictionary can get populated with additional resampling strategies by add-on packages.

For a more convenient way to retrieve and construct resampling strategies, see rsmp()/rsmps().

Format

R6::R6Class object inheriting from mlr3misc::Dictionary.

Methods

See mlr3misc::Dictionary.

S3 methods

• as.data.table(dict)
  mlr3misc::Dictionary -> data.table::data.table()
  Returns a data.table::data.table() with columns "key", "params", and "iters".

See also

Sugar functions: rsmp(), rsmps()

Other Dictionary: mlr_learners, mlr_measures, mlr_task_generators, mlr_tasks

Other Resampling: Resampling, mlr_resamplings_bootstrap, mlr_resamplings_custom, mlr_resamplings_cv, mlr_resamplings_holdout, mlr_resamplings_insample, mlr_resamplings_loo, mlr_resamplings_repeated_cv, mlr_resamplings_subsampling

Examples

as.data.table(mlr_resamplings)
#>            key        params iters
#> 1:   bootstrap repeats,ratio    30
#> 2:      custom                   0
#> 3:          cv         folds    10
#> 4:     holdout         ratio     1
#> 5:    insample                   1
#> 6:         loo                  NA
#> 7: repeated_cv repeats,folds   100
#> 8: subsampling repeats,ratio    30
mlr_resamplings$get("cv")
#> <ResamplingCV> with 10 iterations
#> * Instantiated: FALSE
#> * Parameters: folds=10
rsmp("subsampling")
#> <ResamplingSubsampling> with 30 iterations
#> * Instantiated: FALSE
#> * Parameters: repeats=30, ratio=0.6667