ResamplingCV: Cross Validation Resampling
In mllg/mlr3: Machine Learning in R - Next Generation

Description Format Construction Fields Methods Parameters See Also Examples

Splits data using a folds-folds (default: 10 folds) cross-validation.

R6::R6Class inheriting from Resampling.

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ResamplingCV$new()
mlr_resamplings$get("cv")
rsmp("cv")

See Resampling.

stratify :: logical(1) | character()
Enables stratification. See Resampling.
folds :: integer(1)
Number of folds.

Dictionary of Resamplings: mlr_resamplings

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

# Instantiate Resampling
rcv = rsmp("cv", folds = 3)
rcv$instantiate(task)

# Individual sets:
rcv$train_set(1)
rcv$test_set(1)
intersect(rcv$train_set(1), rcv$test_set(1))

# Internal storage:
rcv$instance # table