A B C D E F G I J K L M N O P R S T V X

S

setAttributeAsDecision(String) - Method in class net.sf.jdmf.data.input.InputData
Takes a particular attribute and marks it as a decision.
setAttributeName(String) - Method in class net.sf.jdmf.data.output.Item
 
setAttributeNameOrder(List<String>) - Method in class net.sf.jdmf.data.output.clustering.ClusteringDataMiningModel
 
setAttributes(Map<String, List<Comparable>>) - Method in class net.sf.jdmf.data.sources.beans.MapOfListsDataSource
 
setAttributeValue(Comparable) - Method in class net.sf.jdmf.data.input.attribute.probability.AttributeValueProbability
 
setAttributeValue(Comparable) - Method in class net.sf.jdmf.data.output.Item
 
setCentroid(Vector<Double>) - Method in class net.sf.jdmf.data.output.clustering.Cluster
 
setClusters(List<Cluster>) - Method in class net.sf.jdmf.data.output.clustering.ClusteringDataMiningModel
 
setConditions(List<RuleElement>) - Method in class net.sf.jdmf.data.output.Rule
 
setConsequences(List<RuleElement>) - Method in class net.sf.jdmf.data.output.Rule
 
setEqualityOperator(EqualityOperator) - Method in class net.sf.jdmf.data.output.Item
 
setFirstValue(Comparable) - Method in class net.sf.jdmf.data.input.attribute.AttributeValuePair
 
setInitialCentroidChoiceStrategy(InitialCentroidChoiceStrategy) - Method in class net.sf.jdmf.algorithms.clustering.KMeansAlgorithm
 
setInstanceToBeClassified(Instance) - Method in class net.sf.jdmf.data.input.InputData
 
setItem(Item) - Method in class net.sf.jdmf.data.output.RuleElement
 
setLogicalOperator(LogicalOperator) - Method in class net.sf.jdmf.data.output.RuleElement
 
setMinimumDistanceSumBetweenOldAndNewClusterCentroids(Double) - Method in class net.sf.jdmf.algorithms.clustering.KMeansAlgorithm
 
setMinRuleAccuracy(Double) - Method in class net.sf.jdmf.algorithms.association.AprioriAlgorithm
 
setMinRuleCoverage(Integer) - Method in class net.sf.jdmf.algorithms.association.AprioriAlgorithm
 
setName(String) - Method in class net.sf.jdmf.data.input.attribute.Attribute
 
setName(String) - Method in class net.sf.jdmf.data.output.clustering.Cluster
 
setNumberOfClusters(Integer) - Method in class net.sf.jdmf.data.input.clustering.ClusteringInputData
 
setPointPercentage(Double) - Method in class net.sf.jdmf.data.output.clustering.Cluster
 
setPoints(List<Vector<Double>>) - Method in class net.sf.jdmf.data.output.clustering.Cluster
 
setProbability(Double) - Method in class net.sf.jdmf.data.input.attribute.probability.AttributeValueProbability
 
setRules(List<Rule>) - Method in class net.sf.jdmf.data.output.DataMiningModel
 
setSecondValue(Comparable) - Method in class net.sf.jdmf.data.input.attribute.AttributeValuePair
 
setType(AttributeType) - Method in class net.sf.jdmf.data.input.attribute.Attribute
 
setValues(List<Comparable>) - Method in class net.sf.jdmf.data.input.attribute.Attribute
 
subElementsIterator() - Method in class net.sf.jdmf.data.output.RuleElement
 

A B C D E F G I J K L M N O P R S T V X