CallbackBatchFSelect: Create Feature Selection Callback

CallbackBatchFSelectR 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 in ObjectiveFSelectBatch$eval_many().

on_eval_after_benchmark

(⁠function()⁠)
Stage called after feature sets are evaluated. Called in ObjectiveFSelectBatch$eval_many().

on_eval_before_archive

(⁠function()⁠)
Stage called before performance values are written to the archive. Called in ObjectiveFSelectBatch$eval_many().

on_auto_fselector_before_final_model

(⁠function()⁠)
Stage called before the final model is trained. Called in AutoFSelector$train(). This stage is called after the optimization has finished and the final model is trained with the best feature set found.

on_auto_fselector_after_final_model

(⁠function()⁠)
Stage called after the final model is trained. Called in AutoFSelector$train(). This stage is called after the final model is trained with the best feature set found.

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")
  }
)

mlr3fselect documentation built on Oct. 30, 2024, 9:19 a.m.