mlr3 (version 0.1.4)

ResamplingSubsampling: Subsampling Resampling

Description

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.

Arguments

Format

R6::R6Class inheriting from Resampling.

Construction

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

Fields

See Resampling.

Methods

See Resampling.

Parameters

  • repeats :: integer(1) Number of repetitions.

  • ratio :: numeric(1) Ratio of observations to put into the training set.

See Also

Dictionary of Resamplings: mlr_resamplings

as.data.table(mlr_resamplings) for a complete table of all (also dynamically created) Resampling implementations.

Examples

Run this code
# NOT RUN {
# 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
# }

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