Uses of Class
weka.core.SelectedTag

Packages that use SelectedTag

weka.associations
weka.attributeSelection
weka.classifiers.bayes
weka.classifiers.functions
weka.classifiers.lazy
weka.classifiers.meta
weka.classifiers.trees
weka.filters.unsupervised.attribute

Uses of SelectedTag in weka.associations

Methods in weka.associations that return SelectedTag

SelectedTag	Apriori.getMetricType() Get the metric type
SelectedTag	Tertius.getNegation() Get the value of negation.
SelectedTag	Tertius.getMissingValues() Get the value of missingValues.
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	Tertius.setNegation(SelectedTag v) Set the value of negation.
void	Tertius.setMissingValues(SelectedTag v) Set the value of missingValues.
void	Tertius.setValuesOutput(SelectedTag v) Set the value of valuesOutput.

Uses of SelectedTag in weka.attributeSelection

Methods in weka.attributeSelection that return SelectedTag

SelectedTag	BestFirst.getDirection() Get the search direction
SelectedTag	RaceSearch.getRaceType() Get the race type
SelectedTag	RaceSearch.getFoldsType() Get the xfold type
SelectedTag	SVMAttributeEval.getFilterType() Get the filtering mode passed to SMO

Methods in weka.attributeSelection with parameters of type SelectedTag

void	BestFirst.setDirection(SelectedTag d) Set the search direction
void	RaceSearch.setRaceType(SelectedTag d) Set the race type
void	RaceSearch.setFoldsType(SelectedTag d) Set the xfold type
void	SVMAttributeEval.setFilterType(SelectedTag newType) The filtering mode to pass to SMO

Uses of SelectedTag in weka.classifiers.bayes

Methods in weka.classifiers.bayes that return SelectedTag

SelectedTag

BayesNet.getScoreType() Method declaration

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

void	BayesNet.setScoreType(SelectedTag newScoreType) Method declaration

Uses of SelectedTag in weka.classifiers.functions

Methods in weka.classifiers.functions that return SelectedTag

SelectedTag	SMOreg.getFilterType() Gets how the training data will be transformed.
SelectedTag	LinearRegression.getAttributeSelectionMethod() Gets the method used to select attributes for use in the linear regression.
SelectedTag	PaceRegression.getEstimator() Gets the estimator
SelectedTag	SMO.getFilterType() Gets how the training data will be transformed.

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

void	SMOreg.setFilterType(SelectedTag newType) Sets how the training data will be transformed.
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	SMO.setFilterType(SelectedTag newType) Sets how the training data will be transformed.

Uses of SelectedTag in weka.classifiers.lazy

Methods in weka.classifiers.lazy that return SelectedTag

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

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

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

Uses of SelectedTag in weka.classifiers.meta

Methods in weka.classifiers.meta that return SelectedTag

SelectedTag	CostSensitiveClassifier.getCostMatrixSource() Gets the source location method of the cost matrix.
SelectedTag	MultiClassClassifier.getMethod() Gets the method used.
SelectedTag	MetaCost.getCostMatrixSource() Gets the source location method of the cost matrix.
SelectedTag	RacedIncrementalLogitBoost.getPruningType() Get the pruning type
SelectedTag	ThresholdSelector.getDesignatedClass() Gets the method to determine which class value to optimize.
SelectedTag	ThresholdSelector.getEvaluationMode() Gets the evaluation mode used.
SelectedTag	ThresholdSelector.getRangeCorrection() Gets the confidence range correction mode used.

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

void	CostSensitiveClassifier.setCostMatrixSource(SelectedTag newMethod) Sets the source location of the cost matrix.
void	MultiClassClassifier.setMethod(SelectedTag newMethod) Sets the method used.
void	MetaCost.setCostMatrixSource(SelectedTag newMethod) Sets the source location of the cost matrix.
void	RacedIncrementalLogitBoost.setPruningType(SelectedTag pruneType) Set the pruning type
void	ThresholdSelector.setDesignatedClass(SelectedTag newMethod) Sets the method to determine which class value to optimize.
void	ThresholdSelector.setEvaluationMode(SelectedTag newMethod) Sets the evaluation mode used.
void	ThresholdSelector.setRangeCorrection(SelectedTag newMethod) Sets the confidence range correction mode used.

Uses of SelectedTag in weka.classifiers.trees

Methods in weka.classifiers.trees that return SelectedTag

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	ADTree.setSearchPath(SelectedTag newMethod) Sets the method of searching the tree for a new insertion.

Uses of SelectedTag in weka.filters.unsupervised.attribute

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

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

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

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