FSelectorGeneticSearch: Feature Selection via Genetic Search

Description Dictionary Parameters Super class Methods Examples

Description

FSelectorGeneticSearch class that implements an Genetic Search. Calls genalg::rbga.bin() from package genalg.

Dictionary

This FSelector can be instantiated via the dictionary mlr_fselectors or with the associated sugar function fs():

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mlr_fselectors$get("genetic_search")
fs("genetic_search")

Parameters

suggestions

list()

popSize

integer(1)

mutationChance

numeric(1)

elitism

integer(1)

zeroToOneRatio

integer(1)

iters

integer(1)

For the meaning of the control parameters, see genalg::rbga.bin(). genalg::rbga.bin() internally terminates after iters iteration. We set ├Čters = 100000 to allow the termination via our terminators. If more iterations are needed, set ├Čters to a higher value in the parameter set.

Super class

mlr3fselect::FSelector -> FSelectorGeneticSearch

Methods

Public methods

Inherited methods

Method new()

Creates a new instance of this R6 class.

Usage
FSelectorGeneticSearch$new()

Method clone()

The objects of this class are cloneable with this method.

Usage
FSelectorGeneticSearch$clone(deep = FALSE)
Arguments
deep

Whether to make a deep clone.

Examples

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library(mlr3)

terminator = trm("evals", n_evals = 5)

instance = FSelectInstanceSingleCrit$new(
  task = tsk("iris"),
  learner = lrn("classif.rpart"),
  resampling = rsmp("holdout"),
  measure = msr("classif.ce"),
  terminator = terminator
)

fselector = fs("genetic_search", popSize = 10L)

# Modifies the instance by reference
fselector$optimize(instance)

# Returns best scoring evaluation
instance$result

# Allows access of data.table of full path of all evaluations
as.data.table(instance$archive)

mlr3fselect documentation built on March 9, 2021, 5:06 p.m.