Uses of Class
weka.core.SelectedTag

Packages that use SelectedTag

Package	Description
weka.associations
weka.attributeSelection
weka.classifiers.bayes.net.search.global
weka.classifiers.bayes.net.search.local
weka.classifiers.functions
weka.classifiers.functions.supportVector
weka.classifiers.lazy
weka.classifiers.meta
weka.classifiers.rules
weka.classifiers.trees
weka.clusterers
weka.datagenerators.classifiers.classification
weka.datagenerators.clusterers
weka.filters.unsupervised.attribute
weka.gui

Uses of SelectedTag in weka.associations

Methods in weka.associations that return SelectedTag

Modifier and Type	Method	Description
SelectedTag	Apriori.getMetricType()	Get the metric type
SelectedTag	FPGrowth.getMetricType()	Get the metric type to use.

Methods in weka.associations with parameters of type SelectedTag

Modifier and Type	Method	Description
void	Apriori.setMetricType(SelectedTag d)	Set the metric type for ranking rules
void	FPGrowth.setMetricType(SelectedTag d)	Set the metric type to use.

Uses of SelectedTag in weka.attributeSelection

Methods in weka.attributeSelection that return SelectedTag

Modifier and Type	Method	Description
SelectedTag	BestFirst.getDirection()	Get the search direction
SelectedTag	ClassifierAttributeEval.getEvaluationMeasure()	Gets the currently set performance evaluation measure used for selecting attributes for the decision table
SelectedTag	ClassifierSubsetEval.getEvaluationMeasure()	Gets the currently set performance evaluation measure used for selecting attributes for the decision table
SelectedTag	WrapperSubsetEval.getEvaluationMeasure()	Gets the currently set performance evaluation measure used for selecting attributes for the decision table

Methods in weka.attributeSelection with parameters of type SelectedTag

Modifier and Type	Method	Description
void	BestFirst.setDirection(SelectedTag d)	Set the search direction
void	ClassifierAttributeEval.setEvaluationMeasure(SelectedTag newMethod)	Sets the performance evaluation measure to use for selecting attributes for the decision table
void	ClassifierSubsetEval.setEvaluationMeasure(SelectedTag newMethod)	Sets the performance evaluation measure to use for selecting attributes for the decision table
void	WrapperSubsetEval.setEvaluationMeasure(SelectedTag newMethod)	Sets the performance evaluation measure to use for selecting attributes for the decision table

Uses of SelectedTag in weka.classifiers.bayes.net.search.global

Methods in weka.classifiers.bayes.net.search.global that return SelectedTag

Modifier and Type	Method	Description
SelectedTag	GlobalScoreSearchAlgorithm.getCVType()	get cross validation strategy to be used in searching for networks.

Methods in weka.classifiers.bayes.net.search.global with parameters of type SelectedTag

Modifier and Type	Method	Description
void	GlobalScoreSearchAlgorithm.setCVType(SelectedTag newCVType)	set cross validation strategy to be used in searching for networks.

Uses of SelectedTag in weka.classifiers.bayes.net.search.local

Methods in weka.classifiers.bayes.net.search.local that return SelectedTag

Modifier and Type	Method	Description
SelectedTag	LocalScoreSearchAlgorithm.getScoreType()	get quality measure to be used in searching for networks.

Methods in weka.classifiers.bayes.net.search.local with parameters of type SelectedTag

Modifier and Type	Method	Description
void	LocalScoreSearchAlgorithm.setScoreType(SelectedTag newScoreType)	set quality measure to be used in searching for networks.

Uses of SelectedTag in weka.classifiers.functions

Methods in weka.classifiers.functions that return SelectedTag

Modifier and Type	Method	Description
SelectedTag	LinearRegression.getAttributeSelectionMethod()	Gets the method used to select attributes for use in the linear regression.
SelectedTag	GaussianProcesses.getFilterType()	Gets how the training data will be transformed.
SelectedTag	SMO.getFilterType()	Gets how the training data will be transformed.
SelectedTag	SMOreg.getFilterType()	Gets how the training data will be transformed.
SelectedTag	SGD.getLossFunction()	Get the current loss function.
SelectedTag	SGDText.getLossFunction()	Get the current loss function.

Methods in weka.classifiers.functions with parameters of type SelectedTag

Modifier and Type	Method	Description
void	LinearRegression.setAttributeSelectionMethod(SelectedTag method)	Sets the method used to select attributes for use in the linear regression.
void	GaussianProcesses.setFilterType(SelectedTag newType)	Sets how the training data will be transformed.
void	SMO.setFilterType(SelectedTag newType)	Sets how the training data will be transformed.
void	SMOreg.setFilterType(SelectedTag newType)	Sets how the training data will be transformed.
void	SGD.setLossFunction(SelectedTag function)	Set the loss function to use.
void	SGDText.setLossFunction(SelectedTag function)	Set the loss function to use.

Uses of SelectedTag in weka.classifiers.functions.supportVector

Methods in weka.classifiers.functions.supportVector that return SelectedTag

Modifier and Type	Method	Description
SelectedTag	StringKernel.getPruningMethod()	Gets the method used for pruning.

Methods in weka.classifiers.functions.supportVector with parameters of type SelectedTag

Modifier and Type	Method	Description
void	StringKernel.setPruningMethod(SelectedTag value)	Sets the method used to for pruning.

Uses of SelectedTag in weka.classifiers.lazy

Methods in weka.classifiers.lazy that return SelectedTag

Modifier and Type	Method	Description
SelectedTag	IBk.getDistanceWeighting()	Gets the distance weighting method used.
SelectedTag	KStar.getMissingMode()	Gets the method to use for handling missing values.

Methods in weka.classifiers.lazy with parameters of type SelectedTag

Modifier and Type	Method	Description
void	IBk.setDistanceWeighting(SelectedTag newMethod)	Sets the distance weighting method used.
void	KStar.setMissingMode(SelectedTag newMode)	Sets the method to use for handling missing values.

Uses of SelectedTag in weka.classifiers.meta

Methods in weka.classifiers.meta that return SelectedTag

Modifier and Type	Method	Description
SelectedTag	Vote.getCombinationRule()	Gets the combination rule used
SelectedTag	CostSensitiveClassifier.getCostMatrixSource()	Gets the source location method of the cost matrix.
SelectedTag	IterativeClassifierOptimizer.getEvaluationMetric()	Get the evaluation metric to use
SelectedTag	MultiClassClassifier.getMethod()	Gets the method used.

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

Modifier and Type	Method	Description
void	Vote.setCombinationRule(SelectedTag newRule)	Sets the combination rule to use.
void	CostSensitiveClassifier.setCostMatrixSource(SelectedTag newMethod)	Sets the source location of the cost matrix.
void	IterativeClassifierOptimizer.setEvaluationMetric(SelectedTag metric)	Set the evaluation metric to use
void	MultiClassClassifier.setMethod(SelectedTag newMethod)	Sets the method used.

Uses of SelectedTag in weka.classifiers.rules

Methods in weka.classifiers.rules that return SelectedTag

Modifier and Type	Method	Description
SelectedTag	DecisionTable.getEvaluationMeasure()	Gets the currently set performance evaluation measure used for selecting attributes for the decision table

Methods in weka.classifiers.rules with parameters of type SelectedTag

Modifier and Type	Method	Description
void	DecisionTable.setEvaluationMeasure(SelectedTag newMethod)	Sets the performance evaluation measure to use for selecting attributes for the decision table

Uses of SelectedTag in weka.classifiers.trees

Methods in weka.classifiers.trees that return SelectedTag

Modifier and Type	Method	Description
SelectedTag	HoeffdingTree.getLeafPredictionStrategy()	Get the leaf prediction strategy to use (majority class, naive Bayes or naive Bayes adaptive)
SelectedTag	HoeffdingTree.getSplitCriterion()	Get the split criterion to use (either Gini or info gain).

Methods in weka.classifiers.trees with parameters of type SelectedTag

Modifier and Type	Method	Description
void	HoeffdingTree.setLeafPredictionStrategy(SelectedTag strat)	Set the leaf prediction strategy to use (majority class, naive Bayes or naive Bayes adaptive)
void	HoeffdingTree.setSplitCriterion(SelectedTag crit)	Set the split criterion to use (either Gini or info gain).

Uses of SelectedTag in weka.clusterers

Methods in weka.clusterers that return SelectedTag

Modifier and Type	Method	Description
SelectedTag	SimpleKMeans.getInitializationMethod()	Get the initialization method to use
SelectedTag	HierarchicalClusterer.getLinkType()

Methods in weka.clusterers with parameters of type SelectedTag

Modifier and Type	Method	Description
void	SimpleKMeans.setInitializationMethod(SelectedTag method)	Set the initialization method to use
void	HierarchicalClusterer.setLinkType(SelectedTag newLinkType)

Uses of SelectedTag in weka.datagenerators.classifiers.classification

Methods in weka.datagenerators.classifiers.classification that return SelectedTag

Modifier and Type	Method	Description
SelectedTag	Agrawal.getFunction()	Gets the function for generating the data.

Methods in weka.datagenerators.classifiers.classification with parameters of type SelectedTag

Modifier and Type	Method	Description
void	Agrawal.setFunction(SelectedTag value)	Sets the function for generating the data.

Uses of SelectedTag in weka.datagenerators.clusterers

Methods in weka.datagenerators.clusterers that return SelectedTag

Modifier and Type	Method	Description
SelectedTag	SubspaceClusterDefinition.getClusterSubType()	Gets the cluster sub type.
SelectedTag	SubspaceClusterDefinition.getClusterType()	Gets the cluster type.
SelectedTag	BIRCHCluster.getInputOrder()	Gets the input order.
SelectedTag	BIRCHCluster.getPattern()	Gets the pattern type.

Methods in weka.datagenerators.clusterers with parameters of type SelectedTag

Modifier and Type	Method	Description
void	SubspaceClusterDefinition.setClusterSubType(SelectedTag value)	Sets the cluster sub type.
void	SubspaceClusterDefinition.setClusterType(SelectedTag value)	Sets the cluster type.
void	BIRCHCluster.setInputOrder(SelectedTag value)	Sets the input order.
void	BIRCHCluster.setPattern(SelectedTag value)	Sets the pattern type.

Uses of SelectedTag in weka.filters.unsupervised.attribute

Methods in weka.filters.unsupervised.attribute that return SelectedTag

Modifier and Type	Method	Description
SelectedTag	Add.getAttributeType()	Gets the type of attribute to generate.
SelectedTag	RemoveType.getAttributeType()	Gets the attribute type to be deleted by the filter.
SelectedTag	RandomProjection.getDistribution()	Returns the current distribution that'll be used for calculating the random matrix
SelectedTag	StringToWordVector.getNormalizeDocLength()	Gets whether if the word frequencies for a document (instance) should be normalized or not.
SelectedTag	SortLabels.getSortType()	Gets the sort type to be used.

Methods in weka.filters.unsupervised.attribute with parameters of type SelectedTag

Modifier and Type	Method	Description
void	Add.setAttributeType(SelectedTag value)	Sets the type of attribute to generate.
void	RemoveType.setAttributeType(SelectedTag type)	Sets the attribute type to be deleted by the filter.
void	RandomProjection.setDistribution(SelectedTag newDstr)	Sets the distribution to use for calculating the random matrix
void	StringToWordVector.setNormalizeDocLength(SelectedTag newType)	Sets whether if the word frequencies for a document (instance) should be normalized or not.
void	SortLabels.setSortType(SelectedTag type)	Sets the sort type to be used.

Uses of SelectedTag in weka.gui

Methods in weka.gui that return SelectedTag

Modifier and Type	Method	Description
SelectedTag	Main.getGUIType()	Gets the currently set type of GUI to display.

Methods in weka.gui with parameters of type SelectedTag

Modifier and Type	Method	Description
void	Main.setGUIType(SelectedTag value)	Sets the type of GUI to use.