Repeated Cross-Validation Resampling
Splits data repeats (default: 10) times using a folds-fold (default: 10) cross-validation.
The iteration counter translates to repeats blocks of folds
cross-validations, i.e., the first folds iterations belong to
a single cross-validation.
Iteration numbers can be translated into folds or repeats with provided methods.
This Resampling can be instantiated via the dictionary mlr_resamplings or with the associated sugar function rsmp():
mlr_resamplings$get("repeated_cv")
rsmp("repeated_cv")repeats (integer(1))
Number of repetitions.
folds (integer(1))
Number of folds.
mlr3::Resampling -> ResamplingRepeatedCV
iters(integer(1))
Returns the number of resampling iterations, depending on the values stored in the param_set.
new()
Creates a new instance of this R6 class.
ResamplingRepeatedCV$new()
folds()
Translates iteration numbers to fold numbers.
ResamplingRepeatedCV$folds(iters)
iters(integer())
Iteration number.
integer() of fold numbers.
repeats()
Translates iteration numbers to repetition numbers.
ResamplingRepeatedCV$repeats(iters)
iters(integer())
Iteration number.
integer() of repetition numbers.
clone()
The objects of this class are cloneable with this method.
ResamplingRepeatedCV$clone(deep = FALSE)
deepWhether to make a deep clone.
Bischl B, Mersmann O, Trautmann H, Weihs C (2012). “Resampling Methods for Meta-Model Validation with Recommendations for Evolutionary Computation.” Evolutionary Computation, 20(2), 249–275. doi: 10.1162/evco_a_00069.
as.data.table(mlr_resamplings) for a complete table of all (also dynamically created) Resampling implementations.
# Create a task with 10 observations
task = tsk("penguins")
task$filter(1:10)
# Instantiate Resampling
rrcv = rsmp("repeated_cv", repeats = 2, folds = 3)
rrcv$instantiate(task)
rrcv$iters
rrcv$folds(1:6)
rrcv$repeats(1:6)
# Individual sets:
rrcv$train_set(1)
rrcv$test_set(1)
intersect(rrcv$train_set(1), rrcv$test_set(1))
# Internal storage:
rrcv$instance # tablePlease choose more modern alternatives, such as Google Chrome or Mozilla Firefox.