Uses of Class
weka.core.SelectedTag

Packages that use SelectedTag

weka.associations
weka.attributeSelection
weka.classifiers.bayes
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.mi
weka.classifiers.rules
weka.classifiers.trees
weka.clusterers
weka.datagenerators.classifiers.classification
weka.datagenerators.clusterers
weka.filters.supervised.attribute
weka.filters.unsupervised.attribute
weka.gui

Uses of SelectedTag in weka.associations

Methods in weka.associations that return SelectedTag

SelectedTag	Apriori.getMetricType() Get the metric type
SelectedTag	FPGrowth.getMetricType() Get the metric type to use.
SelectedTag	Tertius.getMissingValues() Get the value of missingValues.
SelectedTag	Tertius.getNegation() Get the value of negation.
SelectedTag	Tertius.getValuesOutput() Get the value of valuesOutput.

Methods in weka.associations with parameters of type SelectedTag

void	Apriori.setMetricType(SelectedTag d) Set the metric type for ranking rules
void	FPGrowth.setMetricType(SelectedTag d) Set the metric type to use.
void	Tertius.setMissingValues(SelectedTag v) Set the value of missingValues.
void	Tertius.setNegation(SelectedTag v) Set the value of negation.
void	Tertius.setValuesOutput(SelectedTag v) Set the value of valuesOutput.

Uses of SelectedTag in weka.attributeSelection

Methods in weka.attributeSelection that return SelectedTag

SelectedTag	ScatterSearchV1.getCombination() Get the combination
SelectedTag	CostSensitiveASEvaluation.getCostMatrixSource() Gets the source location method of the cost matrix.
SelectedTag	BestFirst.getDirection() Get the search direction
SelectedTag	SVMAttributeEval.getFilterType() Get the filtering mode passed to SMO
SelectedTag	RaceSearch.getFoldsType() Get the xfold type
SelectedTag	LinearForwardSelection.getForwardSelectionMethod() Get the search direction
SelectedTag	RaceSearch.getRaceType() Get the race type
SelectedTag	SubsetSizeForwardSelection.getType() Get the type
SelectedTag	LinearForwardSelection.getType() Get the type

Methods in weka.attributeSelection with parameters of type SelectedTag

void	ScatterSearchV1.setCombination(SelectedTag c) Set the kind of combination
void	CostSensitiveASEvaluation.setCostMatrixSource(SelectedTag newMethod) Sets the source location of the cost matrix.
void	BestFirst.setDirection(SelectedTag d) Set the search direction
void	SVMAttributeEval.setFilterType(SelectedTag newType) The filtering mode to pass to SMO
void	RaceSearch.setFoldsType(SelectedTag d) Set the xfold type
void	LinearForwardSelection.setForwardSelectionMethod(SelectedTag d) Set the search direction
void	RaceSearch.setRaceType(SelectedTag d) Set the race type
void	SubsetSizeForwardSelection.setType(SelectedTag t) Set the type
void	LinearForwardSelection.setType(SelectedTag t) Set the type

Uses of SelectedTag in weka.classifiers.bayes

Methods in weka.classifiers.bayes that return SelectedTag

SelectedTag	BayesianLogisticRegression.getHyperparameterSelection() Get the method used to select the hyperparameter
SelectedTag	BayesianLogisticRegression.getPriorClass() Get the type of prior to use.

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

void	BayesianLogisticRegression.setHyperparameterSelection(SelectedTag newMethod) Set the method used to select the hyperparameter
void	BayesianLogisticRegression.setPriorClass(SelectedTag newMethod) Set the type of prior to use.

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

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

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

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

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

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

SelectedTag	LinearRegression.getAttributeSelectionMethod() Gets the method used to select attributes for use in the linear regression.
SelectedTag	PaceRegression.getEstimator() Gets the estimator
SelectedTag	GaussianProcesses.getFilterType() Gets how the training data will be transformed.
SelectedTag	SMOreg.getFilterType() Gets how the training data will be transformed.
SelectedTag	SMO.getFilterType() Gets how the training data will be transformed.
SelectedTag	LibSVM.getKernelType() Gets type of kernel function
SelectedTag	SPegasos.getLossFunction() Get the current loss function.
SelectedTag	LibLINEAR.getSVMType() Gets type of SVM
SelectedTag	LibSVM.getSVMType() Gets type of SVM

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

void	LinearRegression.setAttributeSelectionMethod(SelectedTag method) Sets the method used to select attributes for use in the linear regression.
void	PaceRegression.setEstimator(SelectedTag estimator) Sets the estimator.
void	GaussianProcesses.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	SMO.setFilterType(SelectedTag newType) Sets how the training data will be transformed.
void	LibSVM.setKernelType(SelectedTag value) Sets type of kernel function (default KERNELTYPE_RBF)
void	SPegasos.setLossFunction(SelectedTag function) Set the loss function to use.
void	LibLINEAR.setSVMType(SelectedTag value) Sets type of SVM (default SVMTYPE_L2)
void	LibSVM.setSVMType(SelectedTag value) Sets type of SVM (default SVMTYPE_C_SVC)

Uses of SelectedTag in weka.classifiers.functions.supportVector

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

SelectedTag

StringKernel.getPruningMethod() Gets the method used for pruning.

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

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

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

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

SelectedTag	Vote.getCombinationRule() Gets the combination rule used
SelectedTag	MetaCost.getCostMatrixSource() Gets the source location method of the cost matrix.
SelectedTag	CostSensitiveClassifier.getCostMatrixSource() Gets the source location method of the cost matrix.
SelectedTag	ThresholdSelector.getDesignatedClass() Gets the method to determine which class value to optimize.
SelectedTag	GridSearch.getEvaluation() Gets the criterion used for evaluating the classifier performance.
SelectedTag	ThresholdSelector.getEvaluationMode() Gets the evaluation mode used.
SelectedTag	ThresholdSelector.getMeasure() get measure used for determining threshold
SelectedTag	MultiClassClassifier.getMethod() Gets the method used.
SelectedTag	RacedIncrementalLogitBoost.getPruningType() Get the pruning type
SelectedTag	ThresholdSelector.getRangeCorrection() Gets the confidence range correction mode used.
SelectedTag	GridSearch.getTraversal() Gets the type of traversal for the grid.

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

void	Vote.setCombinationRule(SelectedTag newRule) Sets the combination rule to use.
void	MetaCost.setCostMatrixSource(SelectedTag newMethod) Sets the source location of the cost matrix.
void	CostSensitiveClassifier.setCostMatrixSource(SelectedTag newMethod) Sets the source location of the cost matrix.
void	ThresholdSelector.setDesignatedClass(SelectedTag newMethod) Sets the method to determine which class value to optimize.
void	GridSearch.setEvaluation(SelectedTag value) Sets the criterion to use for evaluating the classifier performance.
void	ThresholdSelector.setEvaluationMode(SelectedTag newMethod) Sets the evaluation mode used.
void	ThresholdSelector.setMeasure(SelectedTag newMeasure) set measure used for determining threshold
void	MultiClassClassifier.setMethod(SelectedTag newMethod) Sets the method used.
void	RacedIncrementalLogitBoost.setPruningType(SelectedTag pruneType) Set the pruning type
void	ThresholdSelector.setRangeCorrection(SelectedTag newMethod) Sets the confidence range correction mode used.
void	GridSearch.setTraversal(SelectedTag value) Sets the type of traversal for the grid.

Uses of SelectedTag in weka.classifiers.mi

Methods in weka.classifiers.mi that return SelectedTag

SelectedTag	MILR.getAlgorithmType() Gets the type of algorithm.
SelectedTag	MDD.getFilterType() Gets how the training data will be transformed.
SelectedTag	MISVM.getFilterType() Gets how the training data will be transformed.
SelectedTag	MIDD.getFilterType() Gets how the training data will be transformed.
SelectedTag	MISMO.getFilterType() Gets how the training data will be transformed.
SelectedTag	MIEMDD.getFilterType() Gets how the training data will be transformed.
SelectedTag	MIOptimalBall.getFilterType() Gets how the training data will be transformed.
SelectedTag	MIWrapper.getMethod() Get the method used in testing.
SelectedTag	SimpleMI.getTransformMethod() Get the method used in transformation.
SelectedTag	MIWrapper.getWeightMethod() Returns the current weighting method for instances.

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

void	MILR.setAlgorithmType(SelectedTag newType) Sets the algorithm type.
void	MDD.setFilterType(SelectedTag newType) Sets how the training data will be transformed.
void	MISVM.setFilterType(SelectedTag newType) Sets how the training data will be transformed.
void	MIDD.setFilterType(SelectedTag newType) Sets how the training data will be transformed.
void	MISMO.setFilterType(SelectedTag newType) Sets how the training data will be transformed.
void	MIEMDD.setFilterType(SelectedTag newType) Sets how the training data will be transformed.
void	MIOptimalBall.setFilterType(SelectedTag newType) Sets how the training data will be transformed.
void	MIWrapper.setMethod(SelectedTag method) Set the method used in testing.
void	SimpleMI.setTransformMethod(SelectedTag newMethod) Set the method used in transformation.
void	MIWrapper.setWeightMethod(SelectedTag method) The new method for weighting the instances.

Uses of SelectedTag in weka.classifiers.rules

Methods in weka.classifiers.rules that return SelectedTag

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

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

SelectedTag	FT.getModelType() Get the type of functional tree model being used.
SelectedTag	BFTree.getPruningStrategy() Gets the pruning strategy.
SelectedTag	ADTree.getSearchPath() Gets the method of searching the tree for a new insertion.

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

void	FT.setModelType(SelectedTag newMethod) Set the Functional Tree type.
void	BFTree.setPruningStrategy(SelectedTag value) Sets the pruning strategy.
void	ADTree.setSearchPath(SelectedTag newMethod) Sets the method of searching the tree for a new insertion.

Uses of SelectedTag in weka.clusterers

Methods in weka.clusterers that return SelectedTag

SelectedTag

HierarchicalClusterer.getLinkType()

Methods in weka.clusterers with parameters of type SelectedTag

void	HierarchicalClusterer.setLinkType(SelectedTag newLinkType)

Uses of SelectedTag in weka.datagenerators.classifiers.classification

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

SelectedTag

Agrawal.getFunction() Gets the function for generating the data.

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

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

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

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.supervised.attribute

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

SelectedTag	PLSFilter.getAlgorithm() Gets the type of algorithm to use
SelectedTag	PLSFilter.getPreprocessing() Gets the type of preprocessing to use

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

void	PLSFilter.setAlgorithm(SelectedTag value) Sets the type of algorithm to use
void	PLSFilter.setPreprocessing(SelectedTag value) Sets the type of preprocessing to use

Uses of SelectedTag in weka.filters.unsupervised.attribute

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

SelectedTag	Wavelet.getAlgorithm() Gets the type of algorithm to use
SelectedTag	RemoveType.getAttributeType() Gets the attribute type to be deleted by the filter.
SelectedTag	Add.getAttributeType() Gets the type of attribute to generate.
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	Wavelet.getPadding() Gets the type of Padding to use
SelectedTag	MultiInstanceToPropositional.getWeightMethod() Returns the current weighting method for instances.

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

void	Wavelet.setAlgorithm(SelectedTag value) Sets the type of algorithm to use
void	RemoveType.setAttributeType(SelectedTag type) Sets the attribute type to be deleted by the filter.
void	Add.setAttributeType(SelectedTag value) Sets the type of attribute to generate.
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	Wavelet.setPadding(SelectedTag value) Sets the type of Padding to use
void	MultiInstanceToPropositional.setWeightMethod(SelectedTag method) The new method for weighting the instances.

Uses of SelectedTag in weka.gui

Methods in weka.gui that return SelectedTag

SelectedTag

Main.getGUIType() Gets the currently set type of GUI to display.

Methods in weka.gui with parameters of type SelectedTag

void	Main.setGUIType(SelectedTag value) Sets the type of GUI to use.