Uses of Class
weka.attributeSelection.ASEvaluation

Packages that use ASEvaluation

weka.attributeSelection
weka.classifiers.meta
weka.filters.supervised.attribute

Uses of ASEvaluation in weka.attributeSelection

Subclasses of ASEvaluation in weka.attributeSelection

class	AttributeEvaluator Abstract attribute evaluator.
class	CfsSubsetEval CFS attribute subset evaluator.
class	ChiSquaredAttributeEval Class for Evaluating attributes individually by measuring the chi-squared statistic with respect to the class.
class	ClassifierSubsetEval Classifier subset evaluator.
class	ConsistencySubsetEval Consistency attribute subset evaluator.
class	GainRatioAttributeEval Class for Evaluating attributes individually by measuring gain ratio with respect to the class.
class	HoldOutSubsetEvaluator Abstract attribute subset evaluator capable of evaluating subsets with respect to a data set that is distinct from that used to initialize/ train the subset evaluator.
class	InfoGainAttributeEval Class for Evaluating attributes individually by measuring information gain with respect to the class.
class	OneRAttributeEval Class for Evaluating attributes individually by using the OneR classifier.
class	PrincipalComponents Class for performing principal components analysis/transformation.
class	ReliefFAttributeEval Class for Evaluating attributes individually using ReliefF.
class	SubsetEvaluator Abstract attribute subset evaluator.
class	SVMAttributeEval Class for Evaluating attributes individually by using the SVM classifier.
class	SymmetricalUncertAttributeEval Class for Evaluating attributes individually by measuring symmetrical uncertainty with respect to the class.
class	UnsupervisedAttributeEvaluator Abstract unsupervised attribute evaluator.
class	UnsupervisedSubsetEvaluator Abstract unsupervised attribute subset evaluator.
class	WrapperSubsetEval Wrapper attribute subset evaluator.

Fields in weka.attributeSelection declared as ASEvaluation

private ASEvaluation	AttributeSelection.m_ASEvaluator the attribute/subset evaluator
private ASEvaluation	ForwardSelection.m_ASEval
private ASEvaluation	RaceSearch.m_ASEval the attribute evaluator to generate the initial ranking when doing a rank race
private ASEvaluation	RankSearch.m_ASEval the attribute evaluator to use for generating the ranking
private ASEvaluation	RankSearch.m_SubsetEval the subset evaluator with which to evaluate the ranking

Methods in weka.attributeSelection that return ASEvaluation

ASEvaluation	RaceSearch.getAttributeEvaluator() Get the attribute evaluator used to generate the ranking.
ASEvaluation	RankSearch.getAttributeEvaluator() Get the attribute evaluator used to generate the ranking.
static ASEvaluation	ASEvaluation.forName(java.lang.String evaluatorName, java.lang.String[] options) Creates a new instance of an attribute/subset evaluator given it's class name and (optional) arguments to pass to it's setOptions method.
static ASEvaluation[]	ASEvaluation.makeCopies(ASEvaluation model, int num) Creates copies of the current evaluator.

Methods in weka.attributeSelection with parameters of type ASEvaluation

void	AttributeSelection.setEvaluator(ASEvaluation evaluator) set the attribute/subset evaluator
static java.lang.String	AttributeSelection.SelectAttributes(ASEvaluation ASEvaluator, java.lang.String[] options) Perform attribute selection with a particular evaluator and a set of options specifying search method and input file etc.
static java.lang.String	AttributeSelection.SelectAttributes(ASEvaluation ASEvaluator, java.lang.String[] options, Instances train) Perform attribute selection with a particular evaluator and a set of options specifying search method and options for the search method and evaluator.
private static java.lang.String	AttributeSelection.makeOptionString(ASEvaluation ASEvaluator, ASSearch searchMethod) Make up the help string giving all the command line options
int[]	Ranker.search(ASEvaluation ASEval, Instances data) Kind of a dummy search algorithm.
int[]	BestFirst.search(ASEvaluation ASEval, Instances data) Searches the attribute subset space by best first search
int[]	ExhaustiveSearch.search(ASEvaluation ASEval, Instances data) Searches the attribute subset space using an exhaustive search.
abstract int[]	ASSearch.search(ASEvaluation ASEvaluator, Instances data) Searches the attribute subset/ranking space.
int[]	ForwardSelection.search(ASEvaluation ASEval, Instances data) Searches the attribute subset space by forward selection.
void	RaceSearch.setAttributeEvaluator(ASEvaluation newEvaluator) Set the attribute evaluator to use for generating the ranking.
int[]	RaceSearch.search(ASEvaluation ASEval, Instances data) Searches the attribute subset space by racing cross validation errors of competing subsets
int[]	GeneticSearch.search(ASEvaluation ASEval, Instances data) Searches the attribute subset space using a genetic algorithm.
void	RankSearch.setAttributeEvaluator(ASEvaluation newEvaluator) Set the attribute evaluator to use for generating the ranking.
int[]	RankSearch.search(ASEvaluation ASEval, Instances data) Ranks attributes using the specified attribute evaluator and then searches the ranking using the supplied subset evaluator.
static ASEvaluation[]	ASEvaluation.makeCopies(ASEvaluation model, int num) Creates copies of the current evaluator.
int[]	RandomSearch.search(ASEvaluation ASEval, Instances data) Searches the attribute subset space randomly.

Uses of ASEvaluation in weka.classifiers.meta

Fields in weka.classifiers.meta declared as ASEvaluation

protected ASEvaluation

AttributeSelectedClassifier.m_Evaluator The attribute evaluator to use

Methods in weka.classifiers.meta that return ASEvaluation

ASEvaluation

AttributeSelectedClassifier.getEvaluator() Gets the attribute evaluator used

Methods in weka.classifiers.meta with parameters of type ASEvaluation

void	AttributeSelectedClassifier.setEvaluator(ASEvaluation evaluator) Sets the attribute evaluator

Uses of ASEvaluation in weka.filters.supervised.attribute

Fields in weka.filters.supervised.attribute declared as ASEvaluation

private ASEvaluation

AttributeSelection.m_ASEvaluator the attribute evaluator to use

Methods in weka.filters.supervised.attribute that return ASEvaluation

ASEvaluation

AttributeSelection.getEvaluator() Get the name of the attribute/subset evaluator

Methods in weka.filters.supervised.attribute with parameters of type ASEvaluation

void	AttributeSelection.setEvaluator(ASEvaluation evaluator) set a string holding the name of a attribute/subset evaluator