CallbackAsyncFSelect: Asynchronous Feature Selection Callback

In mlr-org/mlr3fselect: Feature Selection for 'mlr3'

Asynchronous Feature Selection Callback

Description

Specialized bbotk::CallbackAsync for asynchronous feature selection. Callbacks allow to customize the behavior of processes in mlr3fselect. The callback_async_fselect() function creates a CallbackAsyncFSelect. Predefined callbacks are stored in the dictionary mlr_callbacks and can be retrieved with clbk(). For more information on feature selection callbacks see callback_async_fselect().

Super classes

mlr3misc::Callback -> bbotk::CallbackAsync -> CallbackAsyncFSelect

Public fields

on_eval_after_xs

(⁠function()⁠)
Stage called after xs is passed. Called in ObjectiveFSelectAsync$eval().

on_resample_begin

(⁠function()⁠)
Stage called at the beginning of an evaluation. Called in workhorse() (internal).

on_resample_before_train

(⁠function()⁠)
Stage called before training the learner. Called in workhorse() (internal).

on_resample_before_predict

(⁠function()⁠)
Stage called before predicting. Called in workhorse() (internal).

on_resample_end

(⁠function()⁠)
Stage called at the end of an evaluation. Called in workhorse() (internal).

on_eval_after_resample

(⁠function()⁠)
Stage called after feature subsets are evaluated. Called in ObjectiveFSelectAsync$eval().

on_eval_before_archive

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

on_fselect_result_begin

(⁠function()⁠)
Stage called before the results are written. Called in ⁠FSelectInstance*$assign_result()⁠.

Methods

Public methods

• CallbackAsyncFSelect$clone()

Inherited methods

• mlr3misc::Callback$call()
• mlr3misc::Callback$format()
• mlr3misc::Callback$help()
• mlr3misc::Callback$initialize()
• mlr3misc::Callback$print()

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Method clone()

The objects of this class are cloneable with this method.

Usage

CallbackAsyncFSelect$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

mlr-org/mlr3fselect documentation built on July 5, 2025, 3:22 a.m.