| CallbackBatchFSelect {mlr3fselect} | R Documentation |
Create Feature Selection Callback
Description
Specialized bbotk::CallbackBatch for feature selection.
Callbacks allow customizing the behavior of processes in mlr3fselect.
The callback_batch_fselect() function creates a CallbackBatchFSelect.
Predefined callbacks are stored in the dictionary mlr_callbacks and can be retrieved with clbk().
For more information on callbacks see callback_batch_fselect().
Super classes
mlr3misc::Callback -> bbotk::CallbackBatch -> CallbackBatchFSelect
Public fields
on_eval_after_design(
function())
Stage called after design is created. Called inObjectiveFSelectBatch$eval_many().on_eval_after_benchmark(
function())
Stage called after feature sets are evaluated. Called inObjectiveFSelectBatch$eval_many().on_eval_before_archive(
function())
Stage called before performance values are written to the archive. Called inObjectiveFSelectBatch$eval_many().
Methods
Public methods
Inherited methods
Method clone()
The objects of this class are cloneable with this method.
Usage
CallbackBatchFSelect$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
Examples
# Write archive to disk
callback_batch_fselect("mlr3fselect.backup",
on_optimization_end = function(callback, context) {
saveRDS(context$instance$archive, "archive.rds")
}
)