Insample Resampling
Uses all observations as training and as test set.
This Resampling can be instantiated via the dictionary mlr_resamplings or with the associated sugar function rsmp():
mlr_resamplings$get("insample")
rsmp("insample")mlr3::Resampling -> ResamplingInsample
iters(integer(1))
Returns the number of resampling iterations, depending on the values stored in the param_set.
new()
Creates a new instance of this R6 class.
ResamplingInsample$new()
clone()
The objects of this class are cloneable with this method.
ResamplingInsample$clone(deep = FALSE)
deepWhether to make a deep clone.
as.data.table(mlr_resamplings) for a complete table of all (also dynamically created) Resampling implementations.
# Create a task with 10 observations
task = tsk("penguins")
task$filter(1:10)
# Instantiate Resampling
rins = rsmp("insample")
rins$instantiate(task)
rins$train_set(1)
rins$test_set(1)
# Internal storage:
rins$instance # just row idsPlease choose more modern alternatives, such as Google Chrome or Mozilla Firefox.