mlr3 (version 0.1.4)

ResamplingCustom: Custom Resampling

Description

Splits data into training and test sets using manually provided indices.

Format

R6::R6Class inheriting from Resampling.

Construction

ResamplingCustom$new()
mlr_resamplings$get("custom")
rsmp("custom")

Fields

See Resampling.

Methods

See Resampling.

See Also

Dictionary of Resamplings: mlr_resamplings

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

Examples

# NOT RUN {
# Create a task with 10 observations
task = tsk("iris")
task$filter(1:10)

# Instantiate Resampling
rc = rsmp("custom")
train_sets = list(1:5, 5:10)
test_sets = list(5:10, 1:5)
rc$instantiate(task, train_sets, test_sets)

rc$train_set(1)
rc$test_set(1)
# }

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