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
deep
Whether 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")
}
)