FSelectorAsync: Class for Asynchronous Feature Selection Algorithms

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

Class for Asynchronous Feature Selection Algorithms

Description

The FSelectorAsync implements the asynchronous optimization algorithm.

Details

FSelectorAsync is an abstract base class that implements the base functionality each asynchronous fselector must provide.

Resources

There are several sections about feature selection in the mlr3book.

• Learn more about fselectors.

The gallery features a collection of case studies and demos about optimization.

• Utilize the built-in feature importance of models with Recursive Feature Elimination.

• Run a feature selection with Shadow Variable Search.

Super class

mlr3fselect::FSelector -> FSelectorAsync

Methods

Public methods

• FSelectorAsync$optimize()

• FSelectorAsync$clone()

Inherited methods

• mlr3fselect::FSelector$format()
• mlr3fselect::FSelector$help()
• mlr3fselect::FSelector$initialize()
• mlr3fselect::FSelector$print()

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Method optimize()

Performs the feature selection on a FSelectInstanceAsyncSingleCrit or FSelectInstanceAsyncMultiCrit until termination. The single evaluations will be written into the ArchiveAsyncFSelect that resides in the FSelectInstanceAsyncSingleCrit/FSelectInstanceAsyncMultiCrit. The result will be written into the instance object.

Usage

FSelectorAsync$optimize(inst)

Arguments

inst

(FSelectInstanceAsyncSingleCrit | FSelectInstanceAsyncMultiCrit).

Returns

data.table::data.table()

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Method clone()

The objects of this class are cloneable with this method.

Usage

FSelectorAsync$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

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