Create a resampling with all data being test data

Utility for use with a pretrained learner in importance methods which support it

Usage

rsmp_all_test(task)

Arguments

task

(mlr3::Task)

Value

mlr3::Resampling with an empty train_set and a single test_set identical to all of the given Task.

Details

Note that the resulting Resampling will have an empty train set, making it useless for any other purpose than the use with a pretrained learner.

Examples

library(mlr3)
# Create custom task from some data.frame
custom_task <- as_task_regr(mtcars, target = "mpg")
# Create matching Resampling with all-test data
resampling_custom <- rsmp_all_test(custom_task)