ResamplingSubsampling: Subsampling Resampling
In mllg/mlr3: Machine Learning in R - Next Generation

Description Format Construction Fields Methods Parameters See Also Examples

Splits data repeats (default: 30) times into training and test set with a ratio of ratio (default: 2/3) observations going into the training set.

R6::R6Class inheriting from Resampling.

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ResamplingSubsampling$new()
mlr_resamplings$get("subsampling")
rsmp("subsampling")

See Resampling.

stratify :: logical(1) | character()
Enables stratification. See Resampling.
repeats :: integer(1)
Number of repetitions.
ratio :: numeric(1)
Ratio of observations to put into the training set.

Dictionary of Resamplings: mlr_resamplings

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

# Instantiate Resampling
rss = rsmp("subsampling", repeats = 2, ratio = 0.5)
rss$instantiate(task)

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

# Internal storage:
rss$instance$train # list of index vectors