Uses of Class weka.core.SelectedTag (weka-dev 3.9.7 API)

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.