Index
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form
$
- $delimlen - Variable in class si.ijs.kt.clus.util.jeans.util.MultiDelimStringTokenizer
- $delimpos - Variable in class si.ijs.kt.clus.util.jeans.util.MultiDelimStringTokenizer
- $delims - Variable in class si.ijs.kt.clus.util.jeans.util.MultiDelimStringTokenizer
- $example_delims - Static variable in class si.ijs.kt.clus.util.jeans.util.MultiDelimStringTokenizer
- $lastdelim - Variable in class si.ijs.kt.clus.util.jeans.util.MultiDelimStringTokenizer
- $len - Variable in class si.ijs.kt.clus.util.jeans.util.MultiDelimStringTokenizer
- $line - Variable in class si.ijs.kt.clus.util.jeans.util.MultiDelimStringTokenizer
- $mainargs - Variable in class si.ijs.kt.clus.util.jeans.util.cmdline.CMDLineArgs
- $ok - Variable in class si.ijs.kt.clus.util.jeans.util.cmdline.CMDLineArgs
- $optargs - Variable in class si.ijs.kt.clus.util.jeans.util.cmdline.CMDLineArgs
- $pos - Variable in class si.ijs.kt.clus.util.jeans.util.MultiDelimStringTokenizer
- $prov - Variable in class si.ijs.kt.clus.util.jeans.util.cmdline.CMDLineArgs
A
- AbsoluteError - Class in si.ijs.kt.clus.error
- AbsoluteError(ClusErrorList, NumericAttrType[]) - Constructor for class si.ijs.kt.clus.error.AbsoluteError
- AbsoluteError(ClusErrorList, NumericAttrType[], String) - Constructor for class si.ijs.kt.clus.error.AbsoluteError
- ABUNDANCE_SEPARATOR - Static variable in class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- AccCovWeighted - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.RulePredictionMethod
-
Each rule's prediction has a weight proportional a product of to its accuracy on the total learning set and its coverage
- accept(File, String) - Method in class si.ijs.kt.clus.util.jeans.util.ExtensionFilter
-
Test if a given File is accepted by this Filter.
- Accuracy - Class in si.ijs.kt.clus.error
- Accuracy - Class in si.ijs.kt.clus.error.sets
- Accuracy(ClusErrorList, SetAttrType[], ClusAttributeWeights, boolean, ClusDistance) - Constructor for class si.ijs.kt.clus.error.sets.Accuracy
- Accuracy(ClusErrorList, SetAttrType[], ClusAttributeWeights, ClusDistance) - Constructor for class si.ijs.kt.clus.error.sets.Accuracy
- Accuracy(ClusErrorList, SetAttrType[], ClusDistance) - Constructor for class si.ijs.kt.clus.error.sets.Accuracy
- Accuracy(ClusErrorList, NominalAttrType[]) - Constructor for class si.ijs.kt.clus.error.Accuracy
- Accuracy(ClusErrorList, NominalAttrType[], String) - Constructor for class si.ijs.kt.clus.error.Accuracy
- AccuracyWeighted - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.RulePredictionMethod
-
Each rule's prediction has a weight proportional to its accuracy on the total learning set TODO Not yet implemented.
- actionPerformed(ActionEvent) - Method in class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI.ClosureListener
- actionPerformed(ActionEvent) - Method in class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI.LoadListener
- actionPerformed(ActionEvent) - Method in class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI.SaveListener
- adaptToData(RowData) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- add(boolean[]) - Method in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- add(double[], double[]) - Static method in class si.ijs.kt.clus.util.jeans.util.array.MDoubleArray
- add(double[], double[], double) - Static method in class si.ijs.kt.clus.util.jeans.util.array.MDoubleArray
- add(int, int) - Method in class si.ijs.kt.clus.selection.XValGroup
- add(ClusRule) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
Add given rule to this rule set
- add(DataTuple) - Method in class si.ijs.kt.clus.data.rows.RowData
- add(RowData) - Method in class si.ijs.kt.clus.data.rows.RowData
- add(BinaryPredictionList) - Method in class si.ijs.kt.clus.error.BinaryPredictionList
- add(ClusError) - Method in class si.ijs.kt.clus.error.AbsoluteError
- add(ClusError) - Method in class si.ijs.kt.clus.error.Accuracy
- add(ClusError) - Method in class si.ijs.kt.clus.error.AvgDistancesError
- add(ClusError) - Method in class si.ijs.kt.clus.error.ClusSumError
- add(ClusError) - Method in class si.ijs.kt.clus.error.common.ClusError
- add(ClusError) - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreWrapper
- add(ClusError) - Method in class si.ijs.kt.clus.error.ContingencyTable
- add(ClusError) - Method in class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy
- add(ClusError) - Method in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- add(ClusError) - Method in class si.ijs.kt.clus.error.hmlc.HierLevelAccuracy
- add(ClusError) - Method in class si.ijs.kt.clus.error.mlc.AveragePrecision
- add(ClusError) - Method in class si.ijs.kt.clus.error.mlc.Coverage
- add(ClusError) - Method in class si.ijs.kt.clus.error.mlc.HammingLoss
- add(ClusError) - Method in class si.ijs.kt.clus.error.mlc.MacroFOne
- add(ClusError) - Method in class si.ijs.kt.clus.error.mlc.MacroPrecision
- add(ClusError) - Method in class si.ijs.kt.clus.error.mlc.MacroRecall
- add(ClusError) - Method in class si.ijs.kt.clus.error.mlc.MicroFOne
- add(ClusError) - Method in class si.ijs.kt.clus.error.mlc.MicroPrecision
- add(ClusError) - Method in class si.ijs.kt.clus.error.mlc.MicroRecall
- add(ClusError) - Method in class si.ijs.kt.clus.error.mlc.MLAccuracy
- add(ClusError) - Method in class si.ijs.kt.clus.error.mlc.MLFOneMeasure
- add(ClusError) - Method in class si.ijs.kt.clus.error.mlc.MLPrecision
- add(ClusError) - Method in class si.ijs.kt.clus.error.mlc.MLRecall
- add(ClusError) - Method in class si.ijs.kt.clus.error.mlc.MLROCAndPRCurve
- add(ClusError) - Method in class si.ijs.kt.clus.error.mlc.OneError
- add(ClusError) - Method in class si.ijs.kt.clus.error.mlc.RankingLoss
- add(ClusError) - Method in class si.ijs.kt.clus.error.mlc.SubsetAccuracy
- add(ClusError) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MlcMeasuresForHmlc
- add(ClusError) - Method in class si.ijs.kt.clus.error.MSError
- add(ClusError) - Method in class si.ijs.kt.clus.error.MSNominalError
- add(ClusError) - Method in class si.ijs.kt.clus.error.PearsonCorrelation
- add(ClusError) - Method in class si.ijs.kt.clus.error.RRMSError
- add(ClusError) - Method in class si.ijs.kt.clus.error.sets.Accuracy
- add(ClusError) - Method in class si.ijs.kt.clus.error.sets.F1Score
- add(ClusError) - Method in class si.ijs.kt.clus.error.sets.HammingLossError
- add(ClusError) - Method in class si.ijs.kt.clus.error.sets.Precision
- add(ClusError) - Method in class si.ijs.kt.clus.error.sets.Recall
- add(ClusError) - Method in class si.ijs.kt.clus.error.sets.SubsetAccuracy
- add(ClusError) - Method in class si.ijs.kt.clus.error.SpearmanRankCorrelation
- add(ClusError) - Method in class si.ijs.kt.clus.error.WAHNDError
- add(ClusError) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCRandIndex
- add(ClusErrorList) - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- add(MlcHmlcSubError) - Method in class si.ijs.kt.clus.error.mlcForHmlc.AveragePrecision
- add(MlcHmlcSubError) - Method in class si.ijs.kt.clus.error.mlcForHmlc.Coverage
- add(MlcHmlcSubError) - Method in class si.ijs.kt.clus.error.mlcForHmlc.HammingLoss
- add(MlcHmlcSubError) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MacroFOne
- add(MlcHmlcSubError) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MacroPrecision
- add(MlcHmlcSubError) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MacroRecall
- add(MlcHmlcSubError) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MicroFOne
- add(MlcHmlcSubError) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MicroPrecision
- add(MlcHmlcSubError) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MicroRecall
- add(MlcHmlcSubError) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MLAccuracy
- add(MlcHmlcSubError) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MLaverageAUPRC
- add(MlcHmlcSubError) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MLaverageAUROC
- add(MlcHmlcSubError) - Method in interface si.ijs.kt.clus.error.mlcForHmlc.MlcHmlcSubError
- add(MlcHmlcSubError) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MLFOneMeasure
- add(MlcHmlcSubError) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MLpooledAUPRC
- add(MlcHmlcSubError) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MLPrecision
- add(MlcHmlcSubError) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MLRecall
- add(MlcHmlcSubError) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MLROCAndPRCurve
- add(MlcHmlcSubError) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MLweightedAUPRC
- add(MlcHmlcSubError) - Method in class si.ijs.kt.clus.error.mlcForHmlc.OneError
- add(MlcHmlcSubError) - Method in class si.ijs.kt.clus.error.mlcForHmlc.RankingLoss
- add(MlcHmlcSubError) - Method in class si.ijs.kt.clus.error.mlcForHmlc.SubsetAccuracy
- add(ClusModelInfo) - Method in class si.ijs.kt.clus.model.ClusModelInfo
- add(ClusStatistic) - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreStat
- add(ClusStatistic) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimClassStat
- add(ClusStatistic) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimRegrStat
- add(ClusStatistic) - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesStat
- add(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.BitVectorStat
- add(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- add(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- add(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.CombStat
- add(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.CombStatClassRegHier
- add(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.GeneticDistanceStat
- add(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.GISStat
-
Deprecated.
- add(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.HierSumPairwiseDistancesStat
- add(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- add(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.RegressionStatBinaryNomiss
- add(BitList) - Method in class si.ijs.kt.clus.util.jeans.list.BitList
- add(MNumber) - Method in class si.ijs.kt.clus.util.jeans.math.MNumber
- add_sym(int, int, double) - Method in class si.ijs.kt.clus.util.jeans.math.matrix.MSymMatrix
- add_to_group(int, XValGroup[], int, int) - Method in class si.ijs.kt.clus.selection.XValRandomSelection
- addAll(Collection) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamTreeElem
- addAll(Collection) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamTreeElemOld
- addAll(RowData, RowData) - Method in class si.ijs.kt.clus.data.rows.RowData
- addAll(ClassTerm, MyArray) - Static method in class si.ijs.kt.clus.util.tools.hier.GenerateData
-
Deprecated.
- addAllClasses(ClassesTuple, boolean[]) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- addAlphaVectorAndFrequencyvector(double[], int[]) - Method in class si.ijs.kt.clus.heuristic.EncodingCost
- addAlternativeBest(NodeTest) - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- addAttribute(ClusSchema, String, String, HashMap<String, int[]>) - Method in class si.ijs.kt.clus.data.io.ARFFFile
- addAttribute(ClusSerializable) - Method in class si.ijs.kt.clus.data.io.ClusView
- addAttributes(ClassTerm, MyArray) - Static method in class si.ijs.kt.clus.util.tools.hier.GenerateData
-
Deprecated.
- addAttrType(ClusAttrType) - Method in class si.ijs.kt.clus.data.ClusSchema
- addBestNominalTest(NominalAttrType, RowData, ClusStatistic, ClusRandomNonstatic) - Method in class si.ijs.kt.clus.ext.optiontree.FindBestTests
- addBestNumericTest(ClusAttrType, RowData, ClusStatistic, ClusRandomNonstatic) - Method in class si.ijs.kt.clus.ext.optiontree.FindBestTests
- addCannotLinkConstraints(HashSet, ArrayList[]) - Method in class si.ijs.kt.clus.ext.ilevelc.DerivedConstraintsComputer
- addCheckModelProcessor(int, ClusModelProcessor) - Method in class si.ijs.kt.clus.model.ClusModelInfo
- addCheckModelProcessor(ClusModelProcessor) - Method in class si.ijs.kt.clus.model.processor.ModelProcessorCollection
- addChild(ClusROSModelInfo) - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusROSModelInfo
- addChild(ClusHMTRNode) - Method in class si.ijs.kt.clus.ext.hierarchicalmtr.ClusHMTRNode
- addChild(MyNode) - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- addChild(Node) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- addChild(Node) - Method in class si.ijs.kt.clus.util.jeans.tree.BinaryNode
- addChild(Node) - Method in class si.ijs.kt.clus.util.jeans.tree.MyNode
- addChild(Node) - Method in interface si.ijs.kt.clus.util.jeans.tree.Node
- addChild(Node) - Method in class si.ijs.kt.clus.util.jeans.tree.SimpleNode
- addChild(Node) - Method in class si.ijs.kt.clus.util.jeans.tree.VisitableNode
- addChildCheckAndParent(ClassTerm) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- addChildrenToRoot() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- addChildStats() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- addClass(ClassesValue) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- addClass(ClassesValue, int, ClassHierarchy) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- addClasses(ClassTerm, MyArray) - Static method in class si.ijs.kt.clus.util.tools.hier.GenerateData
-
Deprecated.
- addClassTerm(String, ClassTerm) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- addClassTerm(ClassTerm) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- addComponent(ClusError) - Method in class si.ijs.kt.clus.error.ClusSumError
- addData(DataTuple) - Method in class si.ijs.kt.clus.ext.ilevelc.COPKMeansCluster
- addData(RowData) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- addDataToRules(DataTuple) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
Adds tuple to the rule which covers it.
- addDataToRules(RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
Adds the data tuples to rules which cover them.
- addDataTuple(DataTuple) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
-
Adds the tuple to the m_Data array
- addDefaultRuleToRuleSet() - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
For optimization, we need to make the default rule a real rule.
- addDistToCandOpt(ClusBeam, ClusBeamModel) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModelDistance
- addDouble(double) - Method in class si.ijs.kt.clus.util.jeans.math.MDouble
- addElement(int) - Method in class si.ijs.kt.clus.util.jeans.util.array.MyIntArray
- addElement(Object) - Method in class si.ijs.kt.clus.util.jeans.util.MyArray
- addEnd(MyList) - Method in class si.ijs.kt.clus.util.jeans.util.list.MyListIter
- addEnsemblePredictionWriter(int, ClusEnsemblePredictionWriter) - Method in class si.ijs.kt.clus.model.ClusModelInfo
- addError(ClusError) - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- addError(ClusErrorList, int) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- addErrors(ClusErrorList) - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- addErrs(double, double, double) - Method in class si.ijs.kt.clus.pruning.C45Pruner
- addExample() - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- addExample(boolean[], double[], boolean[]) - Method in class si.ijs.kt.clus.error.mlcForHmlc.AveragePrecision
- addExample(boolean[], double[], boolean[]) - Method in class si.ijs.kt.clus.error.mlcForHmlc.Coverage
- addExample(boolean[], double[], boolean[]) - Method in class si.ijs.kt.clus.error.mlcForHmlc.HammingLoss
- addExample(boolean[], double[], boolean[]) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MacroFOne
- addExample(boolean[], double[], boolean[]) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MacroPrecision
- addExample(boolean[], double[], boolean[]) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MacroRecall
- addExample(boolean[], double[], boolean[]) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MicroFOne
- addExample(boolean[], double[], boolean[]) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MicroPrecision
- addExample(boolean[], double[], boolean[]) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MicroRecall
- addExample(boolean[], double[], boolean[]) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MLAccuracy
- addExample(boolean[], double[], boolean[]) - Method in interface si.ijs.kt.clus.error.mlcForHmlc.MlcHmlcSubError
- addExample(boolean[], double[], boolean[]) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MLFOneMeasure
- addExample(boolean[], double[], boolean[]) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MLPrecision
- addExample(boolean[], double[], boolean[]) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MLRecall
- addExample(boolean[], double[], boolean[]) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MLROCAndPRCurve
- addExample(boolean[], double[], boolean[]) - Method in class si.ijs.kt.clus.error.mlcForHmlc.OneError
- addExample(boolean[], double[], boolean[]) - Method in class si.ijs.kt.clus.error.mlcForHmlc.RankingLoss
- addExample(boolean[], double[], boolean[]) - Method in class si.ijs.kt.clus.error.mlcForHmlc.SubsetAccuracy
- addExample(boolean, double) - Method in class si.ijs.kt.clus.error.BinaryPredictionList
-
Updates the binary-classification statistics.
- addExample(double[], boolean[]) - Method in class si.ijs.kt.clus.error.MSError
- addExample(double[], boolean[]) - Method in class si.ijs.kt.clus.error.RRMSError
- addExample(double[], boolean[], boolean) - Method in class si.ijs.kt.clus.error.MSError
- addExample(double[], double[]) - Method in class si.ijs.kt.clus.error.AbsoluteError
- addExample(double[], double[]) - Method in class si.ijs.kt.clus.error.common.ClusNumericError
- addExample(double[], double[]) - Method in class si.ijs.kt.clus.error.common.ClusSetError
- addExample(double[], double[]) - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreWrapper
- addExample(double[], double[]) - Method in class si.ijs.kt.clus.error.MSError
- addExample(double[], double[]) - Method in class si.ijs.kt.clus.error.PearsonCorrelation
- addExample(double[], double[]) - Method in class si.ijs.kt.clus.error.RelativeError
- addExample(double[], double[]) - Method in class si.ijs.kt.clus.error.RRMSError
- addExample(double[], double[]) - Method in class si.ijs.kt.clus.error.sets.Accuracy
- addExample(double[], double[]) - Method in class si.ijs.kt.clus.error.sets.F1Score
- addExample(double[], double[]) - Method in class si.ijs.kt.clus.error.sets.HammingLossError
- addExample(double[], double[]) - Method in class si.ijs.kt.clus.error.sets.Precision
- addExample(double[], double[]) - Method in class si.ijs.kt.clus.error.sets.Recall
- addExample(double[], double[]) - Method in class si.ijs.kt.clus.error.sets.SubsetAccuracy
- addExample(double[], double[]) - Method in class si.ijs.kt.clus.error.SpearmanRankCorrelation
- addExample(double[], double[]) - Method in class si.ijs.kt.clus.error.SpearmanRankCorrelationPerExample
- addExample(double[], double[], boolean) - Method in class si.ijs.kt.clus.error.MSError
- addExample(int, int) - Method in class si.ijs.kt.clus.error.NominalCorrelation
- addExample(ClusData, int, ClusStatistic) - Method in class si.ijs.kt.clus.error.WAHNDError
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.Accuracy
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.ClusSumError
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.common.ClusError
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.mlc.AveragePrecision
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.mlc.Coverage
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.mlc.HammingLoss
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.mlc.MacroFOne
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.mlc.MacroPrecision
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.mlc.MacroRecall
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.mlc.MicroFOne
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.mlc.MicroPrecision
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.mlc.MicroRecall
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.mlc.MLAccuracy
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.mlc.MLFOneMeasure
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.mlc.MLPrecision
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.mlc.MLRecall
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.mlc.MLROCAndPRCurve
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.mlc.OneError
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.mlc.RankingLoss
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.mlc.SubsetAccuracy
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.MSError
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.PearsonCorrelation
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.RelativeError
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.RRMSError
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.sets.Accuracy
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.sets.F1Score
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.sets.HammingLossError
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.sets.Precision
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.sets.Recall
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.sets.SubsetAccuracy
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.SpearmanRankCorrelation
- addExample(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.error.SpearmanRankCorrelationPerExample
- addExample(DataTuple, DataTuple, boolean) - Method in class si.ijs.kt.clus.error.MSError
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.AbsoluteError
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.Accuracy
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.AvgDistancesError
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.ClusSumError
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.common.ClusError
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreWrapper
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.ContingencyTable
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.hmlc.HierLevelAccuracy
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.hmlc.HierRMSError
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.mlc.AveragePrecision
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.mlc.Coverage
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.mlc.HammingLoss
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.mlc.MacroFOne
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.mlc.MacroPrecision
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.mlc.MacroRecall
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.mlc.MicroFOne
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.mlc.MicroPrecision
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.mlc.MicroRecall
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.mlc.MLAccuracy
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.mlc.MLFOneMeasure
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.mlc.MLPrecision
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.mlc.MLRecall
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.mlc.MLROCAndPRCurve
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.mlc.OneError
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.mlc.RankingLoss
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.mlc.SubsetAccuracy
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MlcMeasuresForHmlc
-
Will update the statistics for all submeasures.
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.MSError
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.MSNominalError
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.PearsonCorrelation
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.RelativeError
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.RRMSError
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.sets.Accuracy
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.sets.F1Score
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.sets.HammingLossError
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.sets.Precision
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.sets.Recall
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.sets.SubsetAccuracy
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.SpearmanRankCorrelation
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.error.WAHNDError
- addExample(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCRandIndex
- addExample(DataTuple, ClusStatistic, boolean) - Method in class si.ijs.kt.clus.error.MSError
- addExample(SparseDataTuple) - Method in class si.ijs.kt.clus.data.type.primitive.SparseNumericAttrType
- addExample(WHTDStatistic) - Method in class si.ijs.kt.clus.ext.hierarchical.thresholdcalibration.calibrateByLabelCardinality
- addExample(WHTDStatistic) - Method in interface si.ijs.kt.clus.ext.hierarchical.thresholdcalibration.HierThresholdCalibration
- addExampleToAttributes() - Method in class si.ijs.kt.clus.data.rows.SparseDataTuple
- addExtension(String, String) - Static method in class si.ijs.kt.clus.util.jeans.util.FileUtil
-
Add an Extension to a given File name.
- addFloat(double) - Method in class si.ijs.kt.clus.util.jeans.math.SingleStat
- addFloat(double) - Method in class si.ijs.kt.clus.util.jeans.math.SingleStatList
- addFold(int, int, String, String, String, double, String, Long) - Method in class si.ijs.kt.clus.addon.sit.ErrorOutput
- addFoldAllErrors(int, int, String, String, String, MSError, String, Long) - Method in class si.ijs.kt.clus.addon.sit.ErrorOutput
- addFoldNrs(RowData, XValMainSelection) - Method in class si.ijs.kt.clus.ext.optxval.OptXVal
-
Deprecated.
- addFromString(String) - Method in class si.ijs.kt.clus.data.ClusSchema
- addHierarchyIndices(ClassHierarchy) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- addHierarchyIndices(ClassHierarchy) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- addHMTRTargets(ClusSchema, ClusHMTRHierarchy) - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMTR
- addIfNotIn(Comparable) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamTreeElem
- addIfNotIn(Comparable) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamTreeElemOld
- addIfNotIn(ClusBeamModel) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeam
- addIfNotIn(ClusBeamModel) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustive
- addIfUnique(ClusRule) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
Add given rule if it is not already in the rule set.
- addIfUniqueDeeply(ClusRule) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
Add given rule if it is not already in the rule set.
- addImplicitLinearTermsExplicitly(ArrayList<Double>, int) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
If used implicit linear term usage, add the linear terms with great enough weight.
- addIndices() - Method in class si.ijs.kt.clus.data.rows.RowData
- addIndices(int) - Method in class si.ijs.kt.clus.data.ClusSchema
- addIntermediateElems(ClassHierarchy, boolean[], ArrayList<ClassesValue>) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- addIntermediateLabels(RowData, ClassHierarchy) - Method in class si.ijs.kt.clus.addon.hmc.HMCConvertDAGData.HMCConvertDAGData
- addInterval(int, int) - Method in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- addInvalid(boolean) - Method in class si.ijs.kt.clus.error.BinaryPredictionList
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.AbsoluteError
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.Accuracy
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.AvgDistancesError
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.ClusSumError
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.common.ClusError
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreWrapper
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.ContingencyTable
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.hmlc.HierLevelAccuracy
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.mlc.AveragePrecision
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.mlc.Coverage
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.mlc.HammingLoss
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.mlc.MacroFOne
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.mlc.MacroPrecision
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.mlc.MacroRecall
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.mlc.MicroFOne
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.mlc.MicroPrecision
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.mlc.MicroRecall
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.mlc.MLAccuracy
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.mlc.MLFOneMeasure
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.mlc.MLPrecision
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.mlc.MLRecall
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.mlc.MLROCAndPRCurve
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.mlc.OneError
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.mlc.RankingLoss
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.mlc.SubsetAccuracy
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MlcMeasuresForHmlc
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.MSError
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.MSNominalError
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.PearsonCorrelation
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.sets.Accuracy
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.sets.F1Score
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.sets.HammingLossError
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.sets.Precision
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.sets.Recall
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.sets.SubsetAccuracy
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.SpearmanRankCorrelation
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.error.WAHNDError
- addInvalid(DataTuple) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCRandIndex
- addItem(ClassesValue) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- addLine(String) - Method in class si.ijs.kt.clus.model.test.FakeTest
- addMean(SingleStat) - Method in class si.ijs.kt.clus.util.jeans.math.SingleStat
- addModel(ClusBeamModel) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeam
- addModel(ClusModelInfo) - Method in class si.ijs.kt.clus.model.io.ClusModelCollectionIO
- addModelErrorMeasures(ClusRun) - Method in class si.ijs.kt.clus.Clus
- addModelInfo(int) - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- addModelInfo(int, String) - Method in class si.ijs.kt.clus.main.ClusModelInfoList
-
Analogue of the
addModelInfo(int i)
which is used in kNN case. - addModelInfo(String) - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- addModelInfo(ClusModelInfo) - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- addModelInfo(ClusModelInfo) - Method in class si.ijs.kt.clus.model.processor.ClusModelProcessor
- addModelInfo(ClusModelInfo) - Method in class si.ijs.kt.clus.model.processor.PredictionWriter
- addModelProcessor(int, ClusModelProcessor) - Method in class si.ijs.kt.clus.model.ClusModelInfo
- addModelProcessor(ClusModelProcessor) - Method in class si.ijs.kt.clus.model.processor.ModelProcessorCollection
- addModelToForest(ClusModel) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- addModelToForest(ClusModel, double) - Method in class si.ijs.kt.clus.ext.ensemble.ClusBoostingForest
- addModelToSet(Comparable) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamTreeElemOld
- addNode(INIFileNode) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFile
- addNode(INIFileNode) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileSection
- addOOBTuple(DataTuple, ClusModel) - Method in class si.ijs.kt.clus.ext.ensemble.ClusOOBErrorEstimate
- addOutput(int, int) - Method in class si.ijs.kt.clus.error.ROCAndPRCurve
- addOutputPR(int, int) - Method in class si.ijs.kt.clus.error.ROCAndPRCurve
- addOutputROC(int, int) - Method in class si.ijs.kt.clus.error.ROCAndPRCurve
- addParent(ClassTerm) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- addParentChildTuple(String, String) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- addPoint(int, int) - Method in class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI.ILevelCComponent
- addPoint(ArrayList<SingleStatList>, int, ClusRun[], SizeConstraintPruning[], int, ClusSummary) - Method in class si.ijs.kt.clus.algo.tdidt.tune.CDTuneSizeConstrPruning
- addPointPR(double, double) - Method in class si.ijs.kt.clus.error.ROCAndPRCurve
- addPointPROptimized(double, double) - Method in class si.ijs.kt.clus.error.ROCAndPRCurve
- addPrediction(ClusStatistic, double) - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreStat
- addPrediction(ClusStatistic, double) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimClassStat
- addPrediction(ClusStatistic, double) - Method in class si.ijs.kt.clus.ext.structuredTypes.SetStatistic
- addPrediction(ClusStatistic, double) - Method in class si.ijs.kt.clus.ext.structuredTypes.TupleStatistic
- addPrediction(ClusStatistic, double) - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesStat
- addPrediction(ClusStatistic, double) - Method in class si.ijs.kt.clus.statistic.BitVectorStat
- addPrediction(ClusStatistic, double) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- addPrediction(ClusStatistic, double) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
-
Adds to this target prediction the effect of other statistics with weight considered
- addPrediction(ClusStatistic, double) - Method in class si.ijs.kt.clus.statistic.CombStat
- addPrediction(ClusStatistic, double) - Method in class si.ijs.kt.clus.statistic.CombStatClassRegHier
- addPrediction(ClusStatistic, double) - Method in class si.ijs.kt.clus.statistic.GeneticDistanceStat
- addPrediction(ClusStatistic, double) - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- addPrediction(ClusStatistic, double) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- addPredictWriterSchema(String, ClusSchema) - Method in class si.ijs.kt.clus.ext.structuredTypes.SetStatistic
- addPredictWriterSchema(String, ClusSchema) - Method in class si.ijs.kt.clus.ext.structuredTypes.TupleStatistic
- addPredictWriterSchema(String, ClusSchema) - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesStat
- addPredictWriterSchema(String, ClusSchema) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- addPredictWriterSchema(String, ClusSchema) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- addPredictWriterSchema(String, ClusSchema) - Method in class si.ijs.kt.clus.statistic.CombStat
- addPredictWriterSchema(String, ClusSchema) - Method in class si.ijs.kt.clus.statistic.HierSingleLabelStat
- addPredictWriterSchema(String, ClusSchema) - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- addPredictWriterSchema(String, ClusSchema) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- addPreproc(TuplePreproc) - Method in class si.ijs.kt.clus.data.rows.DataPreprocs
- addResult(TargetSet, RowData[]) - Method in class si.ijs.kt.clus.addon.sit.mtLearner.ResultsCache
- addROSModelInfo(ClusROSModelInfo) - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusROSForestInfo
- addRowsIndex() - Method in class si.ijs.kt.clus.data.ClusSchema
- addRowWeighted(double[], int, double) - Method in class si.ijs.kt.clus.util.jeans.math.matrix.MSymMatrix
- addRuleSet(ClusRuleSet) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
Add rules in the given set to this rule set.
- addRuleSet(ClusRuleSet, boolean) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
Add rules in the given set to this rule set.
- addScaled(double, ClusStatistic) - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreStat
- addScaled(double, ClusStatistic) - Method in class si.ijs.kt.clus.statistic.BitVectorStat
- addScaled(double, ClusStatistic) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- addScaled(double, ClusStatistic) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- addScaled(double, ClusStatistic) - Method in class si.ijs.kt.clus.statistic.GeneticDistanceStat
- addScaled(double, ClusStatistic) - Method in class si.ijs.kt.clus.statistic.GISStat
-
Deprecated.
- addScaled(double, ClusStatistic) - Method in class si.ijs.kt.clus.statistic.HierSumPairwiseDistancesStat
- addScaled(double, ClusStatistic) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- addScaled(double, ClusStatistic) - Method in class si.ijs.kt.clus.statistic.RegressionStatBinaryNomiss
- addSection(INIFileSection) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileSectionGroup
- addSummary(ClusRun) - Method in class si.ijs.kt.clus.main.ClusSummary
- addTargetAttributesForEachModel() - Method in class si.ijs.kt.clus.model.processor.PredictionWriter
- addTest(int, int, NodeTest) - Method in class si.ijs.kt.clus.ext.optxval.SoftNumericTest
- addTest(NodeTest) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- addTimes(int) - Static method in class si.ijs.kt.clus.main.ClusStat
- addTo(ArrayList<DataTuple>) - Method in class si.ijs.kt.clus.data.rows.RowData
- addToHierarchy(ClassHierarchy) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- addToken(String, MStreamTokenizer) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileArray
- addToOther(OOBSelection) - Method in class si.ijs.kt.clus.selection.OOBSelection
- addToPredictionTime(long, int) - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- addToRoot(ClusNode) - Method in class si.ijs.kt.clus.data.cols.ColTarget
- addToStack(DataTuple, double) - Method in class si.ijs.kt.clus.algo.kNN.methods.NNStack
-
Add new DataTuple tuple with distance dist to stack (if and only if the distance is small enough regarding to tuples already on stack.
- addToThis(OOBSelection) - Method in class si.ijs.kt.clus.selection.OOBSelection
- addToTotal(long, int) - Static method in class si.ijs.kt.clus.main.ClusStat
- addTransitiveClosureOfMustLinks(ArrayList<DataTuple>[]) - Method in class si.ijs.kt.clus.ext.ilevelc.DerivedConstraintsComputer
- addValue(double) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileArray
- addValue(int) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileArray
- addValue(String) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileArray
- addVisitorType() - Static method in class si.ijs.kt.clus.util.jeans.util.Visitable
- afterInduce(ClusStatManager) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- aggregate(double[]) - Method in interface si.ijs.kt.clus.ext.semisupervised.confidence.aggregation.Aggregation
-
Class for aggregating per-target reliability scores into a single score
- aggregate(double[]) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.aggregation.Average
- aggregate(double[]) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.aggregation.AverageHMC
- aggregate(double[]) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.aggregation.Maximum
- aggregate(double[]) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.aggregation.Minimum
- Aggregation - Interface in si.ijs.kt.clus.ext.semisupervised.confidence.aggregation
- Airbag - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLStoppingCriteria
-
(Leistner et al., 2009), based on Out of Bag Error estimate of Random Forest (applicable only if the base method for the Self Training is Random Forest)
- ALG_KD - Static variable in class si.ijs.kt.clus.algo.kNN.methods.SearchAlgorithm
- ALG_PA - Static variable in class si.ijs.kt.clus.algo.kNN.methods.SearchAlgorithm
- ALG_VP - Static variable in class si.ijs.kt.clus.algo.kNN.methods.SearchAlgorithm
- All - Enum constant in enum class si.ijs.kt.clus.data.type.ClusAttrType.AttributeUseType
- All - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsMLC.MultiLabelMeasures
- allAccurate(RegressionStat) - Method in class si.ijs.kt.clus.pruning.M5PrunerMulti
- allBetterThanTree(ClusNode, RegressionStat, int) - Method in class si.ijs.kt.clus.pruning.M5PrunerMulti
- AllData - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLOOBErrorCalculation
-
calculate OOB error on all examples in the training set, i.e., unlabeled examples added to the training set are also considered
- allFields(Class<?>) - Method in class si.ijs.kt.clus.util.cloner.Cloner
-
reflection utils, override this to choose which fields to clone
- allInvalidLeaves() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- AllNodes - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsOutput.ConvertRules
- allOK() - Method in class si.ijs.kt.clus.util.jeans.util.cmdline.CMDLineArgs
- allowPartialTree() - Method in class si.ijs.kt.clus.model.io.ClusTreeReader
- allParentsOk(ClassTerm, boolean[]) - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageNodeWiseModels
- allParentsOk(ClassTerm, boolean[]) - Method in class si.ijs.kt.clus.ext.hierarchical.HierNodeWeights
- allSameLeaves() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- AllTargets - Class in si.ijs.kt.clus.addon.sit.searchAlgorithm
- AllTargets() - Constructor for class si.ijs.kt.clus.addon.sit.searchAlgorithm.AllTargets
- ALPHA - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsTree
- ALPHA - Static variable in class si.ijs.kt.clus.util.jeans.util.MSStringTokenizer
- Always - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.RuleAddingMethod
-
Always adds a rule to the rule set
- AmandaRule - Class in si.ijs.kt.clus.addon.hmc.ClusAmandaRules
- AmandaRule(ClusStatManager) - Constructor for class si.ijs.kt.clus.addon.hmc.ClusAmandaRules.AmandaRule
- AminoKimura - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsPhylogeny.PhylogenyDistanceMeasure
- amountAttribs() - Method in class si.ijs.kt.clus.algo.kNN.distance.valentin.VectorDistance
- AND - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMTR.HierarchyAggregationsHMTR
- Any - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsPhylogeny.PhylogenySequence
- appendToFile(ArrayList, ClusRun) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimilarityOutput
- apply(NodeTest, int) - Method in class si.ijs.kt.clus.data.rows.RowData
- applyAllAlternativeTests(NodeTest, NodeTest[], NodeTest[], int) - Method in class si.ijs.kt.clus.data.rows.RowData
- applyConstraint(ClusRuleConstraintInduceTest, int) - Method in class si.ijs.kt.clus.data.rows.RowData
- applyModelProcessor(DataTuple, ClusModelProcessor) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- applyModelProcessor(DataTuple, ClusModelProcessor) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- applyModelProcessors(DataTuple, MyArray) - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageTreeModel
- applyModelProcessors(DataTuple, MyArray) - Method in class si.ijs.kt.clus.algo.kNN.KnnModel
- applyModelProcessors(DataTuple, MyArray) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- applyModelProcessors(DataTuple, MyArray) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- applyModelProcessors(DataTuple, MyArray) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- applyModelProcessors(DataTuple, MyArray) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- applyModelProcessors(DataTuple, MyArray) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ReliefModel
- applyModelProcessors(DataTuple, MyArray) - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- applyModelProcessors(DataTuple, MyArray) - Method in class si.ijs.kt.clus.ext.optiontree.ClusSplitNode
- applyModelProcessors(DataTuple, MyArray) - Method in interface si.ijs.kt.clus.model.ClusModel
- applySoft(SoftTest, int) - Method in class si.ijs.kt.clus.data.rows.RowData
- applySoft2(SoftTest, int) - Method in class si.ijs.kt.clus.data.rows.RowData
- applyWeighted(NodeTest, int) - Method in class si.ijs.kt.clus.data.rows.RowData
- areEqual(TimeSeries, TimeSeries) - Static method in class si.ijs.kt.clus.ext.timeseries.TimeSeries
-
Checks the equality of the two, possibly null time series.
- ARFFFile - Class in si.ijs.kt.clus.data.io
- ARFFFile(ClusReader) - Constructor for class si.ijs.kt.clus.data.io.ARFFFile
- arrayclone(double[]) - Static method in class si.ijs.kt.clus.util.jeans.util.sort.DoubleIndexSorter
- ArrayOfArraysIterator<T> - Class in si.ijs.kt.clus.algo.kNN.methods.bfMethod
- ArrayOfArraysIterator(T[][]) - Constructor for class si.ijs.kt.clus.algo.kNN.methods.bfMethod.ArrayOfArraysIterator
- arrayToString(double[]) - Static method in class si.ijs.kt.clus.ext.semisupervised.Helper
-
Return the values of an array in a comma separated string
- arrayToString(double[], String) - Static method in class si.ijs.kt.clus.ext.semisupervised.Helper
-
Return the values of an array in a string separated
sep
- arrayToString(String[], String) - Static method in class si.ijs.kt.clus.ext.semisupervised.Helper
-
Return the values of an array in a string separated
sep
- arrayToString(IndiceValuePair[], String) - Static method in class si.ijs.kt.clus.ext.semisupervised.Helper
-
Return the values of an array in a string separated
sep
- assignAllInstances(ClusNode) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- assignAllInstances(ClusNode, int[]) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- assignDataToClusters(int[]) - Method in class si.ijs.kt.clus.ext.ilevelc.COPKMeans
- assignInstances(RowData, int[]) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCStatistic
- assignLabels(ILevelCHeurStat, ILevelCHeurStat, ClusNode, int, int) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- assignPointsToComponents(DisjointSetForest) - Method in class si.ijs.kt.clus.ext.ilevelc.DerivedConstraintsComputer
- assureIsFlatNearestNeighbours(HashMap<Integer, HashMap<Integer, NearestNeighbour[][]>>) - Static method in class si.ijs.kt.clus.ext.featureRanking.relief.nearestNeighbour.SaveLoadNeighbours
-
Used outside Relief, when we only need the nearest neighbours of each instance and targets do not have any influence.
- atBottomLevel() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- atBottomLevel() - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- atBottomLevel() - Method in interface si.ijs.kt.clus.ext.optiontree.Node
- atBottomLevel() - Method in class si.ijs.kt.clus.util.jeans.tree.BinaryNode
- atBottomLevel() - Method in class si.ijs.kt.clus.util.jeans.tree.MyNode
- atBottomLevel() - Method in interface si.ijs.kt.clus.util.jeans.tree.Node
- atBottomLevel() - Method in class si.ijs.kt.clus.util.jeans.tree.SimpleNode
- atBottomLevel() - Method in class si.ijs.kt.clus.util.jeans.tree.TreeIterator
- atBottomLevel() - Method in class si.ijs.kt.clus.util.jeans.tree.VisitableNode
- atRealBottomLevel() - Method in class si.ijs.kt.clus.util.jeans.tree.BinaryNode
- attach(ClusNode) - Method in class si.ijs.kt.clus.data.ClusData
- attach(ClusNode) - Method in class si.ijs.kt.clus.data.rows.RowData
- attachModel(HashMap) - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageTreeModel
- attachModel(HashMap) - Method in class si.ijs.kt.clus.algo.kNN.KnnModel
- attachModel(HashMap) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- attachModel(HashMap) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- attachModel(HashMap) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
-
Code to attach another dataset to the tree
- attachModel(HashMap) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- attachModel(HashMap) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ReliefModel
- attachModel(HashMap) - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- attachModel(HashMap) - Method in class si.ijs.kt.clus.ext.optiontree.ClusSplitNode
- attachModel(HashMap) - Method in interface si.ijs.kt.clus.model.ClusModel
- attachModel(HashMap) - Method in class si.ijs.kt.clus.model.test.NodeTest
- attachModel(ClusModel) - Method in class si.ijs.kt.clus.data.ClusSchema
- attachModels(ClusSchema, ClusRun) - Method in class si.ijs.kt.clus.Clus
- atTopLevel() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- atTopLevel() - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- atTopLevel() - Method in interface si.ijs.kt.clus.ext.optiontree.Node
- atTopLevel() - Method in class si.ijs.kt.clus.util.jeans.tree.BinaryNode
- atTopLevel() - Method in class si.ijs.kt.clus.util.jeans.tree.MyNode
- atTopLevel() - Method in interface si.ijs.kt.clus.util.jeans.tree.Node
- atTopLevel() - Method in class si.ijs.kt.clus.util.jeans.tree.SimpleNode
- atTopLevel() - Method in class si.ijs.kt.clus.util.jeans.tree.TreeIterator
- atTopLevel() - Method in class si.ijs.kt.clus.util.jeans.tree.VisitableNode
- attributes - Variable in class si.ijs.kt.clus.heuristic.EncodingCost
- AttributeStatistic - Class in si.ijs.kt.clus.algo.kNN.distance.valentin
-
This class represents an object containing useful statistics for an attribute of certain data.
- AttributeStatistic() - Constructor for class si.ijs.kt.clus.algo.kNN.distance.valentin.AttributeStatistic
- attributesWithNonZeroWeight(ClusAttrType[], AttributeWeighting) - Static method in class si.ijs.kt.clus.distance.ClusDistance
- attributeToLinTermPrediction(Settings, DataTuple, int, int, int, boolean) - Static method in class si.ijs.kt.clus.algo.rules.ClusRuleLinearTerm
-
Returns the prediction for a linear term given a descriptive attribute value.
- AttributeWeighting - Class in si.ijs.kt.clus.algo.kNN.distance.attributeWeighting
- AttributeWeighting() - Constructor for class si.ijs.kt.clus.algo.kNN.distance.attributeWeighting.AttributeWeighting
- AutomaticOOB - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLUnlabeledCriteria
-
AutomaticOOB - the optimal threshold will be selected on the basis of OOB error of the labeled examples
- AutomaticOOBInitial - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLUnlabeledCriteria
-
AutomaticOOBInitial - the threshold will be selected according to AutomaticOOB at initial iteration, this threshold is in next iterations
- average(double[]) - Static method in class si.ijs.kt.clus.ext.semisupervised.Helper
-
Calculates average of an array of values
- average(double[]) - Static method in class si.ijs.kt.clus.util.ClusUtil
- Average - Class in si.ijs.kt.clus.ext.semisupervised.confidence.aggregation
-
Averages per-target reliability scores
- Average - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLAggregation
- Average() - Constructor for class si.ijs.kt.clus.ext.semisupervised.confidence.aggregation.Average
- averageAUPRC - Enum constant in enum class si.ijs.kt.clus.error.mlcForHmlc.MLROCAndPRCurve.CurveType
- averageAUPRC - Static variable in class si.ijs.kt.clus.error.mlc.MLROCAndPRCurve
- AverageAUPRC - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMLC.HierarchyMeasures
- AverageAUPRC - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsMLC.MultiLabelMeasures
- averageAUROC - Enum constant in enum class si.ijs.kt.clus.error.mlcForHmlc.MLROCAndPRCurve.CurveType
- averageAUROC - Static variable in class si.ijs.kt.clus.error.mlc.MLROCAndPRCurve
- AverageAUROC - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMLC.HierarchyMeasures
- AverageAUROC - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsMLC.MultiLabelMeasures
- AverageHMC - Class in si.ijs.kt.clus.ext.semisupervised.confidence.aggregation
-
Averages per-target scores, but ignores zeros.
- AverageHMC() - Constructor for class si.ijs.kt.clus.ext.semisupervised.confidence.aggregation.AverageHMC
- averageIgnoreZeros(double[]) - Static method in class si.ijs.kt.clus.ext.semisupervised.Helper
- AverageIgnoreZeros - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLAggregation
- AveragePrecision - Class in si.ijs.kt.clus.error.mlc
- AveragePrecision - Class in si.ijs.kt.clus.error.mlcForHmlc
- AveragePrecision - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsMLC.MultiLabelMeasures
- AveragePrecision() - Constructor for class si.ijs.kt.clus.error.mlcForHmlc.AveragePrecision
- AveragePrecision(ClusErrorList, NominalAttrType[]) - Constructor for class si.ijs.kt.clus.error.mlc.AveragePrecision
- Avg - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.OptimizationGDMTCombineGradient
-
GD optimization, combining of targets - combine by taking average.
- AVG - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMTR.HierarchyAggregationsHMTR
- AvgDistancesError - Class in si.ijs.kt.clus.error
- AvgDistancesError(ClusErrorList, ClusDistance) - Constructor for class si.ijs.kt.clus.error.AvgDistancesError
- AvgDistancesError(ClusErrorList, ClusDistance, String) - Constructor for class si.ijs.kt.clus.error.AvgDistancesError
- AvgLearner - Class in si.ijs.kt.clus.addon.sit.mtLearner
- AvgLearner() - Constructor for class si.ijs.kt.clus.addon.sit.mtLearner.AvgLearner
B
- Bagging - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleMethod
- baggingRun(ClusInductionAlgorithmType) - Method in class si.ijs.kt.clus.Clus
- BagSelection - Class in si.ijs.kt.clus.selection
- BagSelection(int) - Constructor for class si.ijs.kt.clus.selection.BagSelection
-
Creates a new bag selection of size
nbrows
from a total ofnbrows
instances. - BagSelection(int, int, ClusRandomNonstatic) - Constructor for class si.ijs.kt.clus.selection.BagSelection
-
Create a new bag of size
nbselected
from a total ofnbrows
instances. - BagSelectionSemiSupervised - Class in si.ijs.kt.clus.selection
- BagSelectionSemiSupervised(int, int, int, ClusRandomNonstatic) - Constructor for class si.ijs.kt.clus.selection.BagSelectionSemiSupervised
-
Creates a new bag selection from dataset consisting of labeled and unlabeled examples.
- BagSubspaces - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleMethod
- BANDWIDTH - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsTree
- BasicDistance - Class in si.ijs.kt.clus.algo.kNN.distance.valentin
-
This class represents the distance between values of a certain attribute type.
- BasicDistance(Settings) - Constructor for class si.ijs.kt.clus.algo.kNN.distance.valentin.BasicDistance
- BasicExampleCollector - Class in si.ijs.kt.clus.algo.tdidt.processor
- BasicExampleCollector() - Constructor for class si.ijs.kt.clus.algo.tdidt.processor.BasicExampleCollector
- BEAM_SEARCH - Enum constant in enum class si.ijs.kt.clus.main.ClusStatManager.Mode
- BEAM_SIMILARITY - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- BEAM_SYNT_DIST_CONSTR - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- BEAM_WIDTH - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
-
Section: Beam search *
- BeamRuleDefSet - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.CoveringMethod
-
Evaluates rules in the context of complete rule set, builds default rule first, checks all rules in the beam: unordered rules FIXME Obsolete - should be deleted!
- beamSearch(ClusRun) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- BestFirst - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.InductionOrder
- BestFirst_getDescriptiveAttributes - Enum constant in enum class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce.ParallelTrap
- BestFirstInduce - Class in si.ijs.kt.clus.ext.bestfirst
- BestFirstInduce(ClusInductionAlgorithm) - Constructor for class si.ijs.kt.clus.ext.bestfirst.BestFirstInduce
- BestFirstInduce(ClusInductionAlgorithm, NominalSplit) - Constructor for class si.ijs.kt.clus.ext.bestfirst.BestFirstInduce
- BestFirstInduce(ClusSchema, Settings) - Constructor for class si.ijs.kt.clus.ext.bestfirst.BestFirstInduce
- besttests - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamAttrSelector
- Binary - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMatrixType
- BINARY_NAMES - Static variable in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- BinaryNode - Class in si.ijs.kt.clus.util.jeans.tree
- BinaryNode() - Constructor for class si.ijs.kt.clus.util.jeans.tree.BinaryNode
- BinaryPredictionList - Class in si.ijs.kt.clus.error
-
This class could be used in any kind of classification setting (e.g., hierarchical multilabel) and basically stores the statistics, which enables as to compute the number of TP, TN, FP and FN (T - true, F - false, P - positives, and N - negatives) for any given threshold.
- BinaryPredictionList() - Constructor for class si.ijs.kt.clus.error.BinaryPredictionList
- binarySearch(int) - Method in class si.ijs.kt.clus.util.jeans.util.array.MyIntArray
- BitList - Class in si.ijs.kt.clus.util.jeans.list
- BitList() - Constructor for class si.ijs.kt.clus.util.jeans.list.BitList
- BitList(int) - Constructor for class si.ijs.kt.clus.util.jeans.list.BitList
- BitMapSelection - Class in si.ijs.kt.clus.selection
- BitMapSelection(int) - Constructor for class si.ijs.kt.clus.selection.BitMapSelection
- BitVectorStat - Class in si.ijs.kt.clus.statistic
- BitVectorStat(Settings) - Constructor for class si.ijs.kt.clus.statistic.BitVectorStat
- BitwiseInt - Enum constant in enum class si.ijs.kt.clus.data.type.ClusAttrType.ValueType
- BitwiseNominalAttrType - Class in si.ijs.kt.clus.data.type
- BitwiseNominalAttrType(String) - Constructor for class si.ijs.kt.clus.data.type.BitwiseNominalAttrType
- BitwiseNominalAttrType(String, int) - Constructor for class si.ijs.kt.clus.data.type.BitwiseNominalAttrType
- BitwiseNominalAttrType(String, String) - Constructor for class si.ijs.kt.clus.data.type.BitwiseNominalAttrType
- BitwiseNominalAttrType(String, String[]) - Constructor for class si.ijs.kt.clus.data.type.BitwiseNominalAttrType
- blackBoxTestInterpolate() - Method in class si.ijs.kt.clus.util.jeans.math.MathUtil
- blackBoxTestInterpolateX - Variable in class si.ijs.kt.clus.util.jeans.math.MathUtil
- blackBoxTestInterpolateY - Variable in class si.ijs.kt.clus.util.jeans.math.MathUtil
- Boosting - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleMethod
- BOTH_MISSING_DIST - Static variable in class si.ijs.kt.clus.ext.featureRanking.relief.ClusReliefFeatureRanking
-
distance in the case of missing values
- BottomLevelIterator - Class in si.ijs.kt.clus.util.jeans.tree
- BottomLevelIterator(TreeIterator) - Constructor for class si.ijs.kt.clus.util.jeans.tree.BottomLevelIterator
- BottomUpPruningVSB - Class in si.ijs.kt.clus.pruning
- BottomUpPruningVSB(ClusErrorList, RowData) - Constructor for class si.ijs.kt.clus.pruning.BottomUpPruningVSB
- bound - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSizeConstraintInfo
- Brute - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.GDExternalMethodValues
- BruteForce - Class in si.ijs.kt.clus.algo.kNN.methods.bfMethod
- BruteForce - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsKNN.SearchMethod
- BruteForce(ClusRun, SearchDistance) - Constructor for class si.ijs.kt.clus.algo.kNN.methods.bfMethod.BruteForce
- build(int) - Method in class si.ijs.kt.clus.algo.kNN.methods.bfMethod.BruteForce
- build(int) - Method in class si.ijs.kt.clus.algo.kNN.methods.bfMethod.OracleBruteForce
- build(int) - Method in class si.ijs.kt.clus.algo.kNN.methods.kdTree.KDNode
-
Recursive split space on two subspaces along selected axis.
- build(int) - Method in class si.ijs.kt.clus.algo.kNN.methods.kdTree.KDTree
-
Builds tree.
- build(int) - Method in class si.ijs.kt.clus.algo.kNN.methods.SearchAlgorithm
-
Building search structure on known samples.
- build(int) - Method in class si.ijs.kt.clus.algo.kNN.methods.vpTree.VPTree
- build(int, boolean) - Method in class si.ijs.kt.clus.algo.kNN.methods.bfMethod.OracleBruteForce
- build(MStreamTokenizer) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileArray
- build(MStreamTokenizer) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileEntry
- build(MStreamTokenizer) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominal
- build(MStreamTokenizer) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- build(MStreamTokenizer) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector
- buildAttributeHash() - Method in class si.ijs.kt.clus.data.ClusSchema
- buildForMissingTargetImputation(int, int[], SettingsKNN) - Method in class si.ijs.kt.clus.algo.kNN.methods.bfMethod.BruteForce
- buildForMissingTargetImputation(int, int[], SettingsKNN) - Method in class si.ijs.kt.clus.algo.kNN.methods.bfMethod.OracleBruteForce
-
Keep those of the training examples with missing values that are in the chosen training instances and build the model.
- buildForMissingTargetImputation(int, int[], SettingsKNN) - Method in class si.ijs.kt.clus.algo.kNN.methods.kdTree.KDTree
- buildForMissingTargetImputation(int, int[], SettingsKNN) - Method in class si.ijs.kt.clus.algo.kNN.methods.SearchAlgorithm
- buildForMissingTargetImputation(int, int[], SettingsKNN) - Method in class si.ijs.kt.clus.algo.kNN.methods.vpTree.VPTree
- buildSettingsTables(String) - Method in class si.ijs.kt.clus.util.tools.manual.ManualBuilder
C
- C1E_16 - Static variable in class si.ijs.kt.clus.util.jeans.math.MathUtil
- C1E_6 - Static variable in class si.ijs.kt.clus.util.jeans.math.MathUtil
- C1E_9 - Static variable in class si.ijs.kt.clus.util.jeans.math.MathUtil
- C45 - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.PruningMethod
- C45Pruner - Class in si.ijs.kt.clus.pruning
- C45Pruner() - Constructor for class si.ijs.kt.clus.pruning.C45Pruner
- calcAccuracy(int) - Method in class si.ijs.kt.clus.error.ContingencyTable
- calcAverageErrors(RowData, ClusModel, ClusStatManager) - Method in class si.ijs.kt.clus.ext.featureRanking.ClusFeatureRanking
-
Calculates values of all error measures.
- calcBeamSimilarity(ArrayList, RowData, boolean) - Static method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModelDistance
-
Dragi Calculates BeamSimilarity for a given Data Set
- calcBivariateLee(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- calcBivariateLee(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- calcBivariateLee(Integer[]) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- calcCItotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- calcCItotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- calcCItotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- calcCItotalD(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- calcCItotalD(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- calcCItotalD(Integer[]) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- calcCIwithNeighbours(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- calcCIwithNeighbours(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- calcCIwithNeighbours(Integer[]) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- calcCramerV() - Method in class si.ijs.kt.clus.error.NominalCorrelation
- calcCramerV(int) - Method in class si.ijs.kt.clus.error.ContingencyTable
- calcCwithNeighbourstotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- calcCwithNeighbourstotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- calcCwithNeighbourstotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- calcDefaultAccuracy(int) - Method in class si.ijs.kt.clus.error.ContingencyTable
- calcDHtotalD(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- calcDistance(Object, Object) - Method in class si.ijs.kt.clus.distance.ClusDistance
- calcDistance(Object, Object) - Method in class si.ijs.kt.clus.distance.complex.TupleDistance
- calcDistance(Object, Object) - Method in class si.ijs.kt.clus.distance.complex.tuples.MinkowskiDistance
- calcDistance(Object, Object) - Method in class si.ijs.kt.clus.distance.primitive.nominal.NominalDistance
- calcDistance(Object, Object) - Method in class si.ijs.kt.clus.distance.primitive.timeseries.TimeSeriesDist
- calcDistance(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.distance.ClusDistance
- calcDistance(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.distance.complex.SetDistance
- calcDistance(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.distance.complex.TupleDistance
- calcDistance(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.distance.complex.tuples.SSPDMatrix
- calcDistance(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.distance.hierarchies.HierJaccardDistance
- calcDistance(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.distance.primitive.ChebyshevDistance
- calcDistance(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.distance.primitive.EuclideanDistance
-
Returns the Euclidean distance between given tuples.
- calcDistance(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.distance.primitive.ManhattanDistance
- calcDistance(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.distance.primitive.SearchDistance
-
A wrapper method that returns distance between two tuples based on given (constructor) distance (ClusDistance).
- calcDistance(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.distance.primitive.timeseries.TimeSeriesDist
- calcDistance(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.ext.structuredTypes.TupleStatistic
- calcDistance(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.statistic.SumPairwiseDistancesStat
- calcDistance(ClassesTuple, ClassesTuple) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- calcDistance(ClassTerm, ClassTerm) - Method in interface si.ijs.kt.clus.distance.hierarchies.HierBasicDistance
- calcDistance(ClassTerm, ClassTerm) - Method in class si.ijs.kt.clus.distance.hierarchies.HierLevelDistance
- calcDistance(ClassTerm, ClassTerm) - Method in class si.ijs.kt.clus.distance.hierarchies.HierWeightSPath
- calcDistance(ClassTerm, ClassTerm) - Method in class si.ijs.kt.clus.distance.hierarchies.HierWPenalty
- calcDistance(Set, Set) - Method in class si.ijs.kt.clus.distance.complex.SetDistance
- calcDistance(Set, Set) - Method in class si.ijs.kt.clus.distance.complex.sets.EuclideanDistance
- calcDistance(Set, Set) - Method in class si.ijs.kt.clus.distance.complex.sets.GSMDistance
- calcDistance(Set, Set) - Method in class si.ijs.kt.clus.distance.complex.sets.GSMDistanceBitVector
- calcDistance(Set, Set) - Method in class si.ijs.kt.clus.distance.complex.sets.HammingLossDistance
- calcDistance(Set, Set) - Method in class si.ijs.kt.clus.distance.complex.sets.JaccardDistance
- calcDistance(Set, Set) - Method in class si.ijs.kt.clus.ext.structuredTypes.SetStatistic
- calcDistance(Tuple, Tuple) - Method in class si.ijs.kt.clus.distance.complex.TupleDistance
- calcDistance(Tuple, Tuple) - Method in class si.ijs.kt.clus.distance.complex.tuples.EuclideanDistance
- calcDistance(Tuple, Tuple) - Method in class si.ijs.kt.clus.distance.complex.tuples.MinkowskiDistance
- calcDistance(Tuple, Tuple) - Method in class si.ijs.kt.clus.ext.structuredTypes.TupleStatistic
- calcDistance(TimeSeries, TimeSeries) - Method in class si.ijs.kt.clus.distance.primitive.timeseries.DTWTimeSeriesDist
- calcDistance(TimeSeries, TimeSeries) - Method in class si.ijs.kt.clus.distance.primitive.timeseries.QDMTimeSeriesDist
- calcDistance(TimeSeries, TimeSeries) - Method in class si.ijs.kt.clus.distance.primitive.timeseries.TimeSeriesDist
- calcDistance(TimeSeries, TimeSeries) - Method in class si.ijs.kt.clus.distance.primitive.timeseries.TSCTimeSeriesDist
- calcDistance(TimeSeries, TimeSeries) - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesStat
- calcDistance(TimeSeries, TimeSeries, int) - Method in class si.ijs.kt.clus.distance.primitive.timeseries.DTWTimeSeriesDist
- calcDistanceOnAttr(DataTuple, DataTuple, ClusAttrType) - Method in class si.ijs.kt.clus.distance.primitive.SearchDistance
-
Calculates distance between tuples based only on a a given attribute.
- calcDistanceToCentroid(DataTuple) - Method in class si.ijs.kt.clus.statistic.SumPairwiseDistancesStat
- calcDistanceToCentroid(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.distance.ClusDistance
- calcDistanceToCentroid(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.distance.complex.SetDistance
- calcDistanceToCentroid(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.distance.complex.TupleDistance
- calcDistanceToCentroid(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.distance.hierarchies.HierJaccardDistance
- calcDistanceToCentroid(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.distance.primitive.timeseries.TimeSeriesDist
- calcEquvalentGDistance(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- calcEquvalentGDistance(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- calcEquvalentGDistance(Integer[]) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- calcEquvalentGDistance(Integer[]) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- calcEquvalentGtotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- calcEquvalentGtotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- calcEquvalentGtotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- calcEquvalentGtotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- calcEquvalentIDistance(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- calcEquvalentIDistance(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- calcEquvalentIDistance(Integer[]) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- calcEquvalentIDistance(Integer[]) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- calcEquvalentItotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- calcEquvalentItotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- calcEquvalentItotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- calcEquvalentItotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- calcEquvalentIwithNeighbourstotal() - Method in class si.ijs.kt.clus.statistic.RegressionStat
- calcEquvalentIwithNeighbourstotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- calcEquvalentIwithNeighbourstotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- calcEquvalentPDistance(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- calcEquvalentPDistance(Integer[]) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- calcError(ClusNode, ClusErrorList) - Method in class si.ijs.kt.clus.data.ClusData
- calcError(ClusNode, ClusErrorList) - Method in class si.ijs.kt.clus.data.rows.RowData
- calcError(TupleIterator, int, ClusRun) - Method in class si.ijs.kt.clus.Clus
- calcError(TupleIterator, int, ClusRun, ClusEnsemblePredictionWriter) - Method in class si.ijs.kt.clus.Clus
-
Compute either test or train error
- calcError(TupleIterator, ClusModel) - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- calcError(ClusRun, ClusSummary) - Method in class si.ijs.kt.clus.Clus
- calcError(ClusRun, ClusSummary, ClusEnsemblePredictionWriter) - Method in class si.ijs.kt.clus.Clus
- calcExtraTrainingSetErrors(ClusRun) - Method in class si.ijs.kt.clus.Clus
- calcFitness(ArrayList<Double>, ClusRuleSet) - Method in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
-
Fitness function over all targets.
- calcFitnessForTarget(ArrayList<Double>, int, ClusRuleSet) - Method in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
-
Fitness function for single target, not for all of them.
- calcGetisTotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- calcGetisTotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- calcGetisTotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- calcGETIStotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- calcGETIStotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- calcGETIStotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- calcGLocalTotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- calcGLocalTotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- calcGLocalTotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- calcGtotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- calcGtotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- calcGtotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- calcGtotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- calcGtotalD(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- calcGtotalD(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- calcGtotalD(Integer[]) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- calcGtotalD(Integer[]) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- calcHeuristic(ClusStatistic) - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
-
Heuristics
- calcHeuristic(ClusStatistic) - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
-
Heuristics
- calcHeuristic(ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- calcHeuristic(ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- calcHeuristic(ClusStatistic, ClusStatistic[], int) - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- calcHeuristic(ClusStatistic, ClusStatistic[], int) - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- calcHeuristic(ClusStatistic, ClusStatistic[], int) - Method in class si.ijs.kt.clus.heuristic.ClusHeuristic
- calcHeuristic(ClusStatistic, ClusStatistic[], int) - Method in class si.ijs.kt.clus.heuristic.GainHeuristic
- calcHeuristic(ClusStatistic, ClusStatistic[], int) - Method in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- calcHeuristic(ClusStatistic, ClusStatistic[], int) - Method in class si.ijs.kt.clus.heuristic.GISHeuristic
- calcHeuristic(ClusStatistic, ClusStatistic[], int) - Method in class si.ijs.kt.clus.heuristic.ReducedErrorHeuristic
- calcHeuristic(ClusStatistic, ClusStatistic[], int) - Method in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristicEfficient
- calcHeuristic(ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristicError
- calcHeuristic(ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristicMEstimate
- calcHeuristic(ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristicMorishita
- calcHeuristic(ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristicSS
- calcHeuristic(ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.ClusHeuristic
- calcHeuristic(ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.ClusHeuristicImpl
- calcHeuristic(ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.GainHeuristic
- calcHeuristic(ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- calcHeuristic(ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.GISHeuristic
- calcHeuristic(ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.hierarchical.ClusRuleHeuristicHierarchical
-
This heuristic calculates: ( |S|.Var(S) - |Sr|.Var(Sr) ) .
- calcHeuristic(ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.ReducedErrorHeuristic
- calcHeuristic(ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicDispersionAdt
- calcHeuristic(ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicDispersionMlt
- calcHeuristic(ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicError
- calcHeuristic(ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicMEstimate
- calcHeuristic(ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicRDispersionAdt
- calcHeuristic(ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicRDispersionMlt
- calcHeuristic(ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicSSD
- calcHeuristic(ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristic
- calcHeuristic(ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristicCompatibility
- calcHeuristic(ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristicEfficient
- calcHeuristic(ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristicInclMissingValues
- calcHeuristic(ClusStatistic, ClusStatistic, ClusStatistic, double) - Method in class si.ijs.kt.clus.heuristic.ClusHeuristic
-
This method should be overwritten in the classes of heuristics that are efficient.
- calcHeuristic(ClusStatistic, ClusStatistic, ClusStatistic, double) - Method in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristicEfficient
- calcHeuristic(ClusStatistic, ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.ext.semisupervised.ModifiedGainHeuristic
- calcHeuristic(ClusStatistic, ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.ClusHeuristicImpl
- calcHeuristicArslan(ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- calcHeuristicBranchLengths(ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- calcHeuristicMaxMinDistance(ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- calcI(ClusStatistic, ClusStatistic, ClusStatistic, Integer[]) - Method in class si.ijs.kt.clus.heuristic.GISHeuristic
- calcI(ClusStatistic, ClusStatistic, ClusStatistic, Integer[]) - Method in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristicCompatibility
- calcItotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- calcItotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- calcItotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- calcItotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- calcItotalD(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- calcItotalD(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- calcItotalD(Integer[]) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- calcItotalD(Integer[]) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- calcIwithNeighbourstotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- calcIwithNeighbourstotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- calcIwithNeighbourstotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- calcLeewithNeighbours(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- calcLeewithNeighbours(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- calcLeewithNeighbours(Integer[]) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- calcLISAtotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- calcLISAtotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- calcLISAtotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- calcLocalGetisTotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- calcLocalGetisTotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- calcLocalGetisTotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- calcMaxDepth() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- calcMean() - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreStat
- calcMean() - Method in class si.ijs.kt.clus.ext.structuredTypes.SetStatistic
- calcMean() - Method in class si.ijs.kt.clus.ext.structuredTypes.TupleStatistic
- calcMean() - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesStat
- calcMean() - Method in class si.ijs.kt.clus.statistic.BitVectorStat
- calcMean() - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- calcMean() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- calcMean() - Method in class si.ijs.kt.clus.statistic.CombStat
- calcMean() - Method in class si.ijs.kt.clus.statistic.CombStatClassRegHier
- calcMean() - Method in class si.ijs.kt.clus.statistic.GeneticDistanceStat
- calcMean() - Method in class si.ijs.kt.clus.statistic.KnnMlcStat
- calcMean() - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- calcMean() - Method in class si.ijs.kt.clus.statistic.SumPairwiseDistancesStat
- calcMean() - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- calcMean(double[]) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimRegrStat
- calcMean(double[]) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- calcMean(double[]) - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- calcMean(double[]) - Method in class si.ijs.kt.clus.statistic.RegressionStatBinaryNomiss
- calcMean(double[]) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- calcMeanDepth(ClassTerm, SingleStat) - Static method in class si.ijs.kt.clus.util.tools.hier.GenerateData
-
Deprecated.
- calcMeans(ClusStatistic[]) - Static method in class si.ijs.kt.clus.statistic.ClusStatistic
- calcMeanSpatial() - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- calcMeanSpatial(double[]) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- calcMeasures(RowData) - Method in class si.ijs.kt.clus.algo.kNN.KNNStatistics
-
Deprecated.Calculates some meaningful measures of the data like mean of each attribute.
- calcMinMax(ClusAttrType, double) - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- calcModelError(ClusStatManager, RowData, ClusModel) - Static method in class si.ijs.kt.clus.Clus
- calcMultiIwithNeighbours(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- calcMultiIwithNeighbours(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- calcMultiIwithNeighbours(Integer[]) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- calcMutivariateItotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- calcMutivariateItotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- calcMutivariateItotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- calcMutualInfo() - Method in class si.ijs.kt.clus.error.NominalCorrelation
- calcNbCorrect(int) - Method in class si.ijs.kt.clus.error.ContingencyTable
- calcNbCorrect(int[][]) - Method in class si.ijs.kt.clus.error.NominalCorrelation
- calcNbTotal(int) - Method in class si.ijs.kt.clus.error.ContingencyTable
- calcNominalMeasures(RowData, NominalAttrType) - Method in class si.ijs.kt.clus.algo.kNN.KNNStatistics
-
Deprecated.Calculates the meaningful measures for given nominal attribute in the data : -> find most frequent value for given attribute Also calculates the prototype values of this attribute
- calcNumericMeasures(RowData, NumericAttrType) - Method in class si.ijs.kt.clus.algo.kNN.KNNStatistics
-
Deprecated.Calculate meaningful measures like mean, variance,max and min for given numerical attribute.
- calcolaW() - Static method in class si.ijs.kt.clus.addon.network.PredictionAnalyzer
- calcOOBError(OOBSelection, RowData, int, ClusRun) - Method in class si.ijs.kt.clus.ext.ensemble.ClusOOBErrorEstimate
- calcPDistance(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- calcPDistance(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- calcPDistance(Integer[]) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- calcPDistance(Integer[]) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- calcPosAndMissStat(NodeTest, int, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.data.rows.RowData
- calcPosFreq() - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- calcPosFreq() - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- calcPtotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- calcPtotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- calcPtotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- calcPtotal(Integer[]) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- calcScores() - Method in class si.ijs.kt.clus.statistic.ClassificationStat
-
Used in RankingLoss.addExample methods.
- CalcStatisticProcessor - Class in si.ijs.kt.clus.model.processor
- CalcStatisticProcessor(ClusStatistic) - Constructor for class si.ijs.kt.clus.model.processor.CalcStatisticProcessor
- calcStdDevsForTheSet(RowData, NumericAttrType[]) - Static method in class si.ijs.kt.clus.Clus
-
Compute standard deviation and mean for each of the given attributes.
- calcSumAndSumSqDistances(Set) - Method in class si.ijs.kt.clus.ext.structuredTypes.SetStatistic
- calcSumAndSumSqDistances(Tuple) - Method in class si.ijs.kt.clus.ext.structuredTypes.TupleStatistic
- calcSumAndSumSqDistances(TimeSeries) - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesStat
- calcTotalStat(ClusStatistic) - Method in class si.ijs.kt.clus.data.ClusData
- calcTotalStat(ClusStatistic) - Method in class si.ijs.kt.clus.data.cols.ColTarget
- calcTotalStat(ClusStatistic) - Method in class si.ijs.kt.clus.data.rows.RowData
- calcTotalStatBitVector(ClusStatistic) - Method in class si.ijs.kt.clus.data.rows.RowData
- calcTotalStats() - Method in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- calcTotalStats(ClusStatistic[]) - Method in class si.ijs.kt.clus.data.ClusData
- calcTotalStats(ClusStatistic[]) - Method in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- calcTotalStats2() - Method in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- calculateAggregateWeights() - Method in class si.ijs.kt.clus.ext.ensemble.ClusOOBWeights
- calculateAggregateWeights() - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusROSOOBWeights
- calculateBI(String, int, double) - Static method in class si.ijs.kt.clus.addon.network.PredictionAnalyzer
- calculateComponentWeights() - Method in class si.ijs.kt.clus.ext.ensemble.ClusOOBWeights
- calculateComponentWeights() - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusROSOOBWeights
- calculateConfidenceScores(ClusModel, RowData) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.PredictionConfidence
- calculateConfidenceScores(ClusModel, RowData) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.RandomScore
- calculateConfidenceScores(ClusModel, RowData) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.regression.RForestProximities
- calculateConfidenceScores(ClusModel, RowData, boolean) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.PredictionConfidence
- calculateCoverageBitVectors(RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
Calculate coverage bit vectors for each rule in the rule set with respect to the provided data
- calculateDefaultRuleAndPrototypesForRuleSet(ClusRuleSet) - Method in class si.ijs.kt.clus.algo.rules.probabilistic.ClusRuleProbabilisticRuleSetInduce
-
Calculate the default rule for a given rule set
- calculateDist(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.distance.primitive.relief.MultiLabelDistance
-
Computes the distance between the sets of labels that belong to tuple one and two.
- calculateDist(DataTuple, DataTuple, ClassesAttrType) - Method in class si.ijs.kt.clus.distance.primitive.relief.HierarchicalMultiLabelDistance
-
Calculates the weighted Euclidean distance between the two classes in the hierarchy, where the weight of a label is
m_HierarWeight^depth
. - calculateEncodingCost(ClusNode, RowData) - Method in class si.ijs.kt.clus.pruning.EncodingCostPruning
- calculateError(RowData) - Method in class si.ijs.kt.clus.ext.semisupervised.ClusSemiSupervisedInduce
- calculateError(ClusModel, RowData, int) - Method in class si.ijs.kt.clus.ext.semisupervised.ClusSemiSupervisedInduce
-
Calculate error for a given test set By Tomaz: This doesn't seem right, because MODE depends also on clustering attributes.
- calculateFrequency(int, int) - Method in class si.ijs.kt.clus.heuristic.EncodingCost
- calculateGENI3value(ClusNode, ClusRun) - Method in class si.ijs.kt.clus.ext.featureRanking.ensemble.ClusEnsembleFeatureRanking
-
Deprecated.
- calculateGENI3value(ClusNode, ClusStatManager, int) - Method in class si.ijs.kt.clus.ext.featureRanking.ensemble.ClusEnsembleFeatureRanking
- calculateGENIE3importance(ClusNode, ClusRun) - Method in class si.ijs.kt.clus.ext.featureRanking.ensemble.ClusEnsembleFeatureRanking
-
Deprecated.
- calculateGENIE3importanceIteratively(ClusNode, ClusStatManager) - Method in class si.ijs.kt.clus.ext.featureRanking.ensemble.ClusEnsembleFeatureRanking
-
An iterative version of
ClusEnsembleFeatureRanking.calculateGENIE3importance(si.ijs.kt.clus.algo.tdidt.ClusNode,si.ijs.kt.clus.main.ClusRun)
, which does not update feature importances in place. - calculateHMinMax(double, ClusAttrType) - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- calculateHMTRAttribute(ClusReader, DataTuple, ClusSchema, ClusHMTRHierarchy) - Method in class si.ijs.kt.clus.data.type.primitive.NumericAttrType.MySerializable
- calculateHMTRAttribute(ClusReader, DataTuple, ClusSchema, ClusHMTRHierarchy) - Method in class si.ijs.kt.clus.util.io.ClusSerializable
- calculateI(String, int, double) - Static method in class si.ijs.kt.clus.addon.network.PredictionAnalyzer
- calculateLogGammaAlphaValues() - Method in class si.ijs.kt.clus.heuristic.EncodingCost
- calculateMean(double[]) - Method in class si.ijs.kt.clus.distance.primitive.timeseries.TSCTimeSeriesDist
- calculateNbRandomAttrSelected(ClusSchema, SettingsEnsemble.RandomAttributeTypeSelection) - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- calculateOOBConfidenceScores(ClusForest, RowData) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.PredictionConfidence
- calculateOOBConfidenceScores(ClusForest, RowData) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.regression.RForestProximities
- calculatePerTargetOOBScores(ClusForest, DataTuple) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.classification.ClassesProbabilities
- calculatePerTargetOOBScores(ClusForest, DataTuple) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.OracleScore
- calculatePerTargetOOBScores(ClusForest, DataTuple) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.PredictionConfidence
-
Per-target reliability scores for out-of-bag (labeled) examples.
- calculatePerTargetOOBScores(ClusForest, DataTuple) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.RandomScore
- calculatePerTargetOOBScores(ClusForest, DataTuple) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.regression.RForestProximities
- calculatePerTargetOOBScores(ClusForest, DataTuple) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.regression.VarianceScore
- calculatePerTargetScores(ClusModel, DataTuple) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.classification.ClassesProbabilities
- calculatePerTargetScores(ClusModel, DataTuple) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.OracleScore
-
Returns per-target confidence scores
- calculatePerTargetScores(ClusModel, DataTuple) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.PredictionConfidence
-
Per-target reliability scores for a given tuple.
- calculatePerTargetScores(ClusModel, DataTuple) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.RandomScore
- calculatePerTargetScores(ClusModel, DataTuple) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.regression.RForestProximities
- calculatePerTargetScores(ClusModel, DataTuple) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.regression.VarianceScore
- calculatePredictionDistances(ClusBeam, ClusBeamModel) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModelDistance
- calculatePredictionDistancesOpt(ClusBeam, ClusBeamModel) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModelDistance
- calculateRFimportance(ClusModel, ClusRun, OOBSelection, ClusRandomNonstatic, ClusStatManager) - Method in class si.ijs.kt.clus.ext.featureRanking.ensemble.ClusEnsembleFeatureRanking
- calculateSYMBOLICimportanceIteratively(ClusNode, String[]) - Method in class si.ijs.kt.clus.ext.featureRanking.ensemble.ClusEnsembleFeatureRanking
-
Computes partial symbolic importances for all attributes.
- calculateWeights() - Method in class si.ijs.kt.clus.ext.ensemble.ClusOOBWeights
-
Normalize errors to get weights Loss functions (less is better): => RMSE for regression => 1-CA for classification Weights are proportionate to the loss function: 1/error
- calcVarianceReductionHeuristic(double, double, double) - Static method in class si.ijs.kt.clus.util.FTest
- calcWeights() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- calcXSquare() - Method in class si.ijs.kt.clus.error.NominalCorrelation
- calcXSquare(int) - Method in class si.ijs.kt.clus.error.ContingencyTable
- calcXValTotalStat(ClusStatistic[]) - Method in class si.ijs.kt.clus.data.rows.RowData
- calcXValTotalStat(ClusStatistic[], ClusStatistic[]) - Method in class si.ijs.kt.clus.data.rows.RowData
- calibrateByLabelCardinality - Class in si.ijs.kt.clus.ext.hierarchical.thresholdcalibration
-
Threshold calibration method by choosing the threshold that minimizes the difference in label cardinality between the training data and the predictions for the test data.
- calibrateByLabelCardinality(double, double) - Constructor for class si.ijs.kt.clus.ext.hierarchical.thresholdcalibration.calibrateByLabelCardinality
- call() - Method in class si.ijs.kt.clus.ext.ensemble.callable.InduceOneBagCallable
- call() - Method in class si.ijs.kt.clus.ext.featureRanking.relief.nearestNeighbour.FindNeighboursCallable
- callBackFunction(Object) - Method in interface si.ijs.kt.clus.util.jeans.util.CallBackFunction
- CallBackFunction - Interface in si.ijs.kt.clus.util.jeans.util
- CallExternGD - Class in si.ijs.kt.clus.util.tools.optimization.gd
- CallExternGD() - Constructor for class si.ijs.kt.clus.util.tools.optimization.gd.CallExternGD
- candidates - Variable in class si.ijs.kt.clus.addon.sit.searchAlgorithm.SITFitnessFunction
- CartMaxSize - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.PruningMethod
- CartPruning - Class in si.ijs.kt.clus.pruning
- CartPruning(int[], ClusAttributeWeights) - Constructor for class si.ijs.kt.clus.pruning.CartPruning
- CartPruning(ClusAttributeWeights, boolean) - Constructor for class si.ijs.kt.clus.pruning.CartPruning
- CartVisitor - Class in si.ijs.kt.clus.pruning
- CartVisitor() - Constructor for class si.ijs.kt.clus.pruning.CartVisitor
- CartVSB - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.PruningMethod
- CategoryUtility - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.PruningMethod
- CDTTuneFTest - Class in si.ijs.kt.clus.algo.tdidt.tune
- CDTTuneFTest(ClusInductionAlgorithmType) - Constructor for class si.ijs.kt.clus.algo.tdidt.tune.CDTTuneFTest
- CDTTuneFTest(ClusInductionAlgorithmType, double[]) - Constructor for class si.ijs.kt.clus.algo.tdidt.tune.CDTTuneFTest
- CDTuneSizeConstrPruning - Class in si.ijs.kt.clus.algo.tdidt.tune
- CDTuneSizeConstrPruning(ClusInductionAlgorithmType) - Constructor for class si.ijs.kt.clus.algo.tdidt.tune.CDTuneSizeConstrPruning
- changeData(OptimizationProblem.OptimizationParameter) - Method in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
-
Change the data used for learning.
- changePruneError(ClusErrorList) - Method in class si.ijs.kt.clus.main.ClusRun
- changeRuleSetToUndoNormNormalization(ClusRuleSet) - Method in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
-
Changes rule set to undo the changes done to predictions
- changesDistribution() - Method in class si.ijs.kt.clus.selection.BagSelection
- changesDistribution() - Method in class si.ijs.kt.clus.selection.ClusSelection
- changesDistribution() - Method in class si.ijs.kt.clus.selection.OOBSelection
- changeTestError(ClusErrorList) - Method in class si.ijs.kt.clus.main.ClusRun
-
Preparation
- changeWeight(double) - Method in class si.ijs.kt.clus.data.rows.DataTuple
- CHAR_CR - Static variable in class si.ijs.kt.clus.data.io.ClusReader
- CHAR_NL - Static variable in class si.ijs.kt.clus.data.io.ClusReader
- CHARSET - Static variable in class si.ijs.kt.clus.main.settings.SettingsBase
- chartokens - Variable in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- chartokens - Variable in class si.ijs.kt.clus.util.jeans.util.MStringTokenizer
- chartokens - Variable in class si.ijs.kt.clus.util.jeans.util.MTokenizer
- Chebyshev - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsKNN.Distance
- ChebyshevDistance - Class in si.ijs.kt.clus.distance.primitive
- ChebyshevDistance(SearchDistance, boolean, ClusAttrType[]) - Constructor for class si.ijs.kt.clus.distance.primitive.ChebyshevDistance
- check() - Method in class si.ijs.kt.clus.main.ClusStatManager
- check() - Method in class si.ijs.kt.clus.model.ClusModelInfo
- checkAcceptable(ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- checkAcceptable(ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- checkAtEnd(LineNumberReader) - Static method in class si.ijs.kt.clus.model.io.ClusTreeReader
- checkChildren() - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- checkConstraints(DataTuple, int, int[]) - Method in class si.ijs.kt.clus.ext.ilevelc.COPKMeans
- checkCoverage(ClusModelInfoList, int, int) - Static method in class si.ijs.kt.clus.error.common.ClusErrorList
- checkData(boolean) - Method in class si.ijs.kt.clus.data.rows.RowData
- checkDelim() - Method in class si.ijs.kt.clus.util.jeans.util.MultiDelimStringTokenizer
- checkIfBest(DEIndividual) - Method in class si.ijs.kt.clus.util.tools.optimization.de.DEAlgorithm
-
Checks if the individual is the new best.
- checkInvariant() - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesStat
-
For debugging purposes.
- checkModelInfo() - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- checkPartialTreeAllowed(String) - Method in class si.ijs.kt.clus.model.io.ClusTreeReader
- checkRange(IntervalCollection, String) - Method in class si.ijs.kt.clus.data.ClusSchema
- checkSetDistance(SettingsTree.SetDistance) - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- checkStopCriterion(GeneticDistanceStat, GeneticDistanceStat, GeneticDistanceStat) - Method in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- checkTimeSeriesDistance(SettingsTimeSeries.TimeSeriesDistanceMeasure) - Method in class si.ijs.kt.clus.main.settings.section.SettingsTimeSeries
- checkToOutEnsemble(int) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce
- checkTotalWeight() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- checkTupleDistance(SettingsTree.TupleDistance) - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- checkValue(Object) - Method in class si.ijs.kt.clus.util.jeans.io.range.DoubleRangeCheck
- checkValue(Object) - Method in class si.ijs.kt.clus.util.jeans.io.range.IntRangeCheck
- checkValue(Object) - Method in interface si.ijs.kt.clus.util.jeans.io.range.ValueCheck
- CI - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMeasure
- CIDistance - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMeasure
- CIwithNeighbours - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMeasure
- Classes - Enum constant in enum class si.ijs.kt.clus.data.type.ClusAttrType.AttributeType
- ClassesAttrType - Class in si.ijs.kt.clus.data.type.hierarchies
- ClassesAttrType(String) - Constructor for class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrType
- ClassesAttrType(String, String) - Constructor for class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrType
- ClassesAttrType(String, ClassHierarchy) - Constructor for class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrType
- ClassesAttrType.MySerializable - Class in si.ijs.kt.clus.data.type.hierarchies
- ClassesAttrTypeSingleLabel - Class in si.ijs.kt.clus.data.type.hierarchies
- ClassesAttrTypeSingleLabel(String) - Constructor for class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrTypeSingleLabel
- ClassesAttrTypeSingleLabel(String, String) - Constructor for class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrTypeSingleLabel
- ClassesAttrTypeSingleLabel(String, ClassHierarchy) - Constructor for class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrTypeSingleLabel
- ClassesProbabilities - Class in si.ijs.kt.clus.ext.semisupervised.confidence.classification
-
Calculate the confidence of prediction for the multi-target classification as follows: For each target, get the max classification probability (i.e., majority) among possible class values.
- ClassesProbabilities - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLConfidenceMeasure
-
Reliability score for MLC and HMLC, based on empirical probabilities of classes
- ClassesProbabilities(ClusStatManager, SettingsSSL.SSLNormalization, SettingsSSL.SSLAggregation) - Constructor for class si.ijs.kt.clus.ext.semisupervised.confidence.classification.ClassesProbabilities
- ClassesTuple - Class in si.ijs.kt.clus.ext.hierarchical
- ClassesTuple() - Constructor for class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- ClassesTuple(int) - Constructor for class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- ClassesTuple(String, StringTable) - Constructor for class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- ClassesValue - Class in si.ijs.kt.clus.ext.hierarchical
- ClassesValue(int) - Constructor for class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- ClassesValue(String, StringTable) - Constructor for class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- ClassesValue(ClassTerm) - Constructor for class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- ClassesValue(ClassTerm, double) - Constructor for class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- ClassHierarchy - Class in si.ijs.kt.clus.ext.hierarchical
- ClassHierarchy() - Constructor for class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- ClassHierarchy(ClassesAttrType) - Constructor for class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- ClassHierarchy(ClassTerm) - Constructor for class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- ClassHierarchyIO - Class in si.ijs.kt.clus.ext.hierarchical
- ClassHierarchyIO() - Constructor for class si.ijs.kt.clus.ext.hierarchical.ClassHierarchyIO
- ClassHierarchyPreproc - Class in si.ijs.kt.clus.ext.hierarchical
- ClassHierarchyPreproc(ClassesAttrType, boolean) - Constructor for class si.ijs.kt.clus.ext.hierarchical.ClassHierarchyPreproc
- Classic - Class in si.ijs.kt.clus.ext.featureRanking.relief.statistics
- Classic(ClusReliefFeatureRanking, int, int, int) - Constructor for class si.ijs.kt.clus.ext.featureRanking.relief.statistics.Classic
- CLASSIFICATION - Enum constant in enum class si.ijs.kt.clus.main.ClusStatManager.TargetType
- ClassificationStat - Class in si.ijs.kt.clus.statistic
-
Classification statistics about the data.
- ClassificationStat(Settings, NominalAttrType[]) - Constructor for class si.ijs.kt.clus.statistic.ClassificationStat
-
Constructor for this class.
- ClassificationStat(Settings, NominalAttrType[], INIFileNominalOrDoubleOrVector) - Constructor for class si.ijs.kt.clus.statistic.ClassificationStat
-
Constructor for this class in the case of multi-label setting.
- ClassificationStat.Distance - Class in si.ijs.kt.clus.statistic
- ClassificationStat.DistanceB - Class in si.ijs.kt.clus.statistic
- CLASSIFY - Enum constant in enum class si.ijs.kt.clus.main.ClusStatManager.Mode
- CLASSIFY_AND_REGRESSION - Enum constant in enum class si.ijs.kt.clus.main.ClusStatManager.Mode
- ClassTerm - Class in si.ijs.kt.clus.ext.hierarchical
- ClassTerm() - Constructor for class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- ClassTerm(String) - Constructor for class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- cleanFolds() - Method in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- cleanNode(int) - Method in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- cleanSplit() - Method in class si.ijs.kt.clus.algo.split.FindBestTest
- cleanSplit() - Method in class si.ijs.kt.clus.algo.tdidt.DepthFirstInduce
- cleanSplit() - Method in class si.ijs.kt.clus.ext.bestfirst.BestFirstInduce
- cleanSplit() - Method in class si.ijs.kt.clus.ext.optxval.OptXValInduce
- cleanup() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- clear() - Method in class si.ijs.kt.clus.error.BinaryPredictionList
- clear() - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- clear() - Method in class si.ijs.kt.clus.error.ROCAndPRCurve
- clear() - Method in class si.ijs.kt.clus.util.jeans.util.array.MDoubleArray
- clear() - Method in class si.ijs.kt.clus.util.jeans.util.array.MIntArray
- clear() - Method in class si.ijs.kt.clus.util.jeans.util.IntegerStack
- clear() - Method in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- clearAll() - Method in class si.ijs.kt.clus.model.ClusModelInfo
- clearAttributeStatusClusteringAndTarget() - Method in class si.ijs.kt.clus.data.ClusSchema
- clearData() - Method in class si.ijs.kt.clus.error.BinaryPredictionList
- clearData() - Method in class si.ijs.kt.clus.ext.ilevelc.COPKMeansCluster
- clearDataFromClusters() - Method in class si.ijs.kt.clus.ext.ilevelc.COPKMeans
- clearMissingFlagTargetAttrs(ClusSchema) - Static method in class si.ijs.kt.clus.selection.CriterionBasedSelection
- clearVisitors() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- clone() - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusROSModelInfo
- clone(double[]) - Static method in class si.ijs.kt.clus.util.jeans.util.array.MDoubleArray
- clone(Object, IDeepCloner, Map<Object, Object>) - Method in class si.ijs.kt.clus.util.cloner.FastClonerArrayList
- clone(Object, IDeepCloner, Map<Object, Object>) - Method in class si.ijs.kt.clus.util.cloner.FastClonerCalendar
- clone(Object, IDeepCloner, Map<Object, Object>) - Method in class si.ijs.kt.clus.util.cloner.FastClonerConcurrentHashMap
- clone(Object, IDeepCloner, Map<Object, Object>) - Method in class si.ijs.kt.clus.util.cloner.FastClonerCustomCollection
- clone(Object, IDeepCloner, Map<Object, Object>) - Method in class si.ijs.kt.clus.util.cloner.FastClonerCustomMap
- clone(Object, IDeepCloner, Map<Object, Object>) - Method in class si.ijs.kt.clus.util.cloner.FastClonerHashMap
- clone(Object, IDeepCloner, Map<Object, Object>) - Method in class si.ijs.kt.clus.util.cloner.FastClonerHashSet
- clone(Object, IDeepCloner, Map<Object, Object>) - Method in class si.ijs.kt.clus.util.cloner.FastClonerLinkedHashMap
- clone(Object, IDeepCloner, Map<Object, Object>) - Method in class si.ijs.kt.clus.util.cloner.FastClonerLinkedList
- clone(Object, IDeepCloner, Map<Object, Object>) - Method in class si.ijs.kt.clus.util.cloner.FastClonerTreeMap
- clone(Object, IDeepCloner, Map<Object, Object>) - Method in interface si.ijs.kt.clus.util.cloner.IFastCloner
- cloneBoostingForestWithThreshold(double) - Method in class si.ijs.kt.clus.ext.ensemble.ClusBoostingForest
- cloneData() - Method in class si.ijs.kt.clus.data.ClusData
- cloneData() - Method in class si.ijs.kt.clus.data.rows.RowData
- cloneDeep() - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- cloneForestWithThreshold(double) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- cloneFrom(ClassesTuple) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- cloneFrom(BitVectorStat) - Method in class si.ijs.kt.clus.statistic.BitVectorStat
- cloneFrom(GeneticDistanceStat) - Method in class si.ijs.kt.clus.statistic.GeneticDistanceStat
- cloneGroup() - Method in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- cloneInternal(T, Map<Object, Object>) - Method in class si.ijs.kt.clus.util.cloner.Cloner
- cloneList() - Method in class si.ijs.kt.clus.util.jeans.list.BitList
- cloneModel() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- cloneModelInfo() - Method in class si.ijs.kt.clus.model.ClusModelInfo
- cloneModels() - Method in class si.ijs.kt.clus.main.ClusModelInfoList
-
************************************************************************* Functions for all models
- cloneNode() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- cloneNode() - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- cloneNode() - Method in class si.ijs.kt.clus.ext.optiontree.ClusSplitNode
-
Inspectors concerning statistics
- cloneNode() - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- cloneNode() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileArray
- cloneNode() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileBool
- cloneNode() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileDouble
- cloneNode() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileEnum
- cloneNode() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileEnumList
- cloneNode() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileInt
- cloneNode() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNode
- cloneNode() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominal
- cloneNode() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- cloneNode() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector
- cloneNode() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileSection
- cloneNode() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileSectionGroup
- cloneNode() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileString
- cloneNode() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrDouble
- cloneNode() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrInt
- cloneNode() - Method in class si.ijs.kt.clus.util.jeans.tree.MyNode
- cloneNodeWithVisitor() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- cloneNoModel() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- Cloner - Class in si.ijs.kt.clus.util.cloner
-
Cloner: deep clone objects.
- Cloner() - Constructor for class si.ijs.kt.clus.util.cloner.Cloner
- Cloner(IInstantiationStrategy) - Constructor for class si.ijs.kt.clus.util.cloner.Cloner
- cloneRule() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- cloneRuleSet() - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
Clones the rule set so that it points to the same rules.
- cloneRuleSetNonUnique() - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- cloneRuleSetWithThreshold(double) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
Deep clones this ruleset, so that it points to different rules that have target statistics with the given threshold.
- cloneSchema() - Method in class si.ijs.kt.clus.data.ClusSchema
- cloneSimple() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimRegrStat
- cloneSimple() - Method in class si.ijs.kt.clus.ext.structuredTypes.SetStatistic
- cloneSimple() - Method in class si.ijs.kt.clus.ext.structuredTypes.TupleStatistic
- cloneSimple() - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesStat
- cloneSimple() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
-
Statistic with only memory allocated for storing mean / not variance, see e.g.
- cloneSimple() - Method in class si.ijs.kt.clus.statistic.CombStat
- cloneSimple() - Method in class si.ijs.kt.clus.statistic.CombStatClassRegHier
- cloneSimple() - Method in class si.ijs.kt.clus.statistic.GISStat
-
Deprecated.
- cloneSimple() - Method in class si.ijs.kt.clus.statistic.RegressionStat
- cloneSimple() - Method in class si.ijs.kt.clus.statistic.RegressionStatBinaryNomiss
- cloneSimple() - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- cloneStat() - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreStat
- cloneStat() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimClassStat
- cloneStat() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimRegrStat
- cloneStat() - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCStatistic
- cloneStat() - Method in class si.ijs.kt.clus.ext.structuredTypes.SetStatistic
- cloneStat() - Method in class si.ijs.kt.clus.ext.structuredTypes.TupleStatistic
- cloneStat() - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesStat
- cloneStat() - Method in class si.ijs.kt.clus.statistic.BitVectorStat
- cloneStat() - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- cloneStat() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- cloneStat() - Method in class si.ijs.kt.clus.statistic.CombStat
- cloneStat() - Method in class si.ijs.kt.clus.statistic.CombStatClassRegHier
- cloneStat() - Method in class si.ijs.kt.clus.statistic.GeneticDistanceStat
- cloneStat() - Method in class si.ijs.kt.clus.statistic.GISStat
-
Deprecated.
- cloneStat() - Method in class si.ijs.kt.clus.statistic.HierSingleLabelStat
- cloneStat() - Method in class si.ijs.kt.clus.statistic.HierSumPairwiseDistancesStat
- cloneStat() - Method in class si.ijs.kt.clus.statistic.KnnMlcStat
- cloneStat() - Method in class si.ijs.kt.clus.statistic.RegressionStat
- cloneStat() - Method in class si.ijs.kt.clus.statistic.RegressionStatBinaryNomiss
- cloneStat() - Method in class si.ijs.kt.clus.statistic.SumPairwiseDistancesStat
- cloneStat() - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- cloneTree() - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- cloneTree() - Method in class si.ijs.kt.clus.util.jeans.tree.MyNode
- cloneTree(MyNode, MyNode) - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- cloneTree(MyNode, MyNode) - Method in class si.ijs.kt.clus.util.jeans.tree.MyNode
- cloneTreeWithVisitors() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- cloneTreeWithVisitors(ClusNode, ClusNode) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- cloneTuple() - Method in class si.ijs.kt.clus.data.rows.DataTuple
- cloneTuple() - Method in class si.ijs.kt.clus.data.rows.SparseDataTuple
- cloneTuple(DataTuple) - Method in class si.ijs.kt.clus.data.rows.DataTuple
- cloneType() - Method in class si.ijs.kt.clus.data.type.BitwiseNominalAttrType
- cloneType() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- cloneType() - Method in class si.ijs.kt.clus.data.type.complex.SetAttrType
- cloneType() - Method in class si.ijs.kt.clus.data.type.complex.TupleAttrType
- cloneType() - Method in class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrType
- cloneType() - Method in class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrTypeSingleLabel
- cloneType() - Method in class si.ijs.kt.clus.data.type.primitive.IndexAttrType
- cloneType() - Method in class si.ijs.kt.clus.data.type.primitive.IntegerAttrType
- cloneType() - Method in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- cloneType() - Method in class si.ijs.kt.clus.data.type.primitive.NumericAttrType
- cloneType() - Method in class si.ijs.kt.clus.data.type.primitive.SparseNumericAttrType
- cloneType() - Method in class si.ijs.kt.clus.data.type.primitive.StringAttrType
- cloneType() - Method in class si.ijs.kt.clus.data.type.primitive.TimeSeriesAttrType
- cloneType(ClusAttrType) - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- cloning(Field, Class<?>) - Method in interface si.ijs.kt.clus.util.cloner.IDumpCloned
- CloningException - Exception Class in si.ijs.kt.clus.util.cloner
-
thrown if cloning fails
- CloningException(String, Throwable) - Constructor for exception class si.ijs.kt.clus.util.cloner.CloningException
- close() - Method in class si.ijs.kt.clus.data.io.ClusReader
- close() - Method in class si.ijs.kt.clus.data.rows.FileTupleIterator
- close() - Method in class si.ijs.kt.clus.data.rows.TupleIterator
- close() - Method in class si.ijs.kt.clus.main.ClusOutput
- close() - Method in class si.ijs.kt.clus.model.processor.PredictionWriter
- close() - Static method in class si.ijs.kt.clus.util.DebugFile
- close() - Method in class si.ijs.kt.clus.util.jeans.io.MyFile
- close() - Method in class si.ijs.kt.clus.util.jeans.io.ObjectSaveStream
-
Closes a file previously opened for saving
- close() - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- closeEntry() - Method in class si.ijs.kt.clus.util.jeans.io.ObjectSaveStream
- closeWriter() - Method in class si.ijs.kt.clus.model.processor.ClusEnsemblePredictionWriter
- ClosureListener() - Constructor for class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI.ClosureListener
- Clus - Class in si.ijs.kt.clus
- Clus() - Constructor for class si.ijs.kt.clus.Clus
- Clus.DebugType - Enum Class in si.ijs.kt.clus
- ClusAmandaRules - Class in si.ijs.kt.clus.addon.hmc.ClusAmandaRules
- ClusAmandaRules() - Constructor for class si.ijs.kt.clus.addon.hmc.ClusAmandaRules.ClusAmandaRules
- ClusAttribute - Class in si.ijs.kt.clus.data.cols.attribute
- ClusAttribute() - Constructor for class si.ijs.kt.clus.data.cols.attribute.ClusAttribute
- ClusAttributeWeights - Class in si.ijs.kt.clus.data.attweights
- ClusAttributeWeights(int) - Constructor for class si.ijs.kt.clus.data.attweights.ClusAttributeWeights
- ClusAttrType - Class in si.ijs.kt.clus.data.type
- ClusAttrType(String) - Constructor for class si.ijs.kt.clus.data.type.ClusAttrType
- ClusAttrType(String, String) - Constructor for class si.ijs.kt.clus.data.type.ClusAttrType
- ClusAttrType.AttributeType - Enum Class in si.ijs.kt.clus.data.type
- ClusAttrType.AttributeUseType - Enum Class in si.ijs.kt.clus.data.type
- ClusAttrType.Status - Enum Class in si.ijs.kt.clus.data.type
- ClusAttrType.ValueType - Enum Class in si.ijs.kt.clus.data.type
- ClusBeam - Class in si.ijs.kt.clus.ext.beamsearch
- ClusBeam(int, boolean) - Constructor for class si.ijs.kt.clus.ext.beamsearch.ClusBeam
- ClusBeamAttrSelector - Class in si.ijs.kt.clus.ext.beamsearch
- ClusBeamAttrSelector() - Constructor for class si.ijs.kt.clus.ext.beamsearch.ClusBeamAttrSelector
- ClusBeamHeuristic - Class in si.ijs.kt.clus.ext.beamsearch
- ClusBeamHeuristic(ClusStatistic, Settings) - Constructor for class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristic
- ClusBeamHeuristicError - Class in si.ijs.kt.clus.ext.beamsearch
- ClusBeamHeuristicError(ClusStatistic, Settings) - Constructor for class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristicError
- ClusBeamHeuristicMEstimate - Class in si.ijs.kt.clus.ext.beamsearch
- ClusBeamHeuristicMEstimate(ClusStatistic, double, Settings) - Constructor for class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristicMEstimate
- ClusBeamHeuristicMorishita - Class in si.ijs.kt.clus.ext.beamsearch
- ClusBeamHeuristicMorishita(ClusStatistic, Settings) - Constructor for class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristicMorishita
- ClusBeamHeuristicSS - Class in si.ijs.kt.clus.ext.beamsearch
- ClusBeamHeuristicSS(ClusStatistic, ClusAttributeWeights, Settings) - Constructor for class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristicSS
- ClusBeamInduce - Class in si.ijs.kt.clus.ext.beamsearch
- ClusBeamInduce(ClusSchema, Settings, ClusBeamSearch) - Constructor for class si.ijs.kt.clus.ext.beamsearch.ClusBeamInduce
- ClusBeamModel - Class in si.ijs.kt.clus.ext.beamsearch
- ClusBeamModel() - Constructor for class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- ClusBeamModel(double, ClusModel) - Constructor for class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- ClusBeamModelDistance - Class in si.ijs.kt.clus.ext.beamsearch
- ClusBeamModelDistance(ClusRun, ClusBeam) - Constructor for class si.ijs.kt.clus.ext.beamsearch.ClusBeamModelDistance
- ClusBeamSearch - Class in si.ijs.kt.clus.ext.beamsearch
- ClusBeamSearch(Clus) - Constructor for class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- ClusBeamSimClassStat - Class in si.ijs.kt.clus.ext.beamsearch
- ClusBeamSimClassStat(Settings, NominalAttrType[], ClusBeam) - Constructor for class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimClassStat
- ClusBeamSimilarityOutput - Class in si.ijs.kt.clus.ext.beamsearch
- ClusBeamSimilarityOutput(Settings) - Constructor for class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimilarityOutput
- ClusBeamSimRegrStat - Class in si.ijs.kt.clus.ext.beamsearch
- ClusBeamSimRegrStat(Settings, NumericAttrType[], boolean, ClusBeam) - Constructor for class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimRegrStat
- ClusBeamSimRegrStat(Settings, NumericAttrType[], ClusBeam) - Constructor for class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimRegrStat
- ClusBeamSizeConstraintInfo - Class in si.ijs.kt.clus.ext.beamsearch
- ClusBeamSizeConstraintInfo(int) - Constructor for class si.ijs.kt.clus.ext.beamsearch.ClusBeamSizeConstraintInfo
- ClusBeamSizeConstraints - Class in si.ijs.kt.clus.ext.beamsearch
- ClusBeamSizeConstraints() - Constructor for class si.ijs.kt.clus.ext.beamsearch.ClusBeamSizeConstraints
- ClusBeamSyntacticConstraint - Class in si.ijs.kt.clus.ext.beamsearch
- ClusBeamSyntacticConstraint(ClusRun) - Constructor for class si.ijs.kt.clus.ext.beamsearch.ClusBeamSyntacticConstraint
- ClusBeamTreeElem - Class in si.ijs.kt.clus.ext.beamsearch
- ClusBeamTreeElem(ClusBeamModel) - Constructor for class si.ijs.kt.clus.ext.beamsearch.ClusBeamTreeElem
- ClusBeamTreeElemOld - Class in si.ijs.kt.clus.ext.beamsearch
- ClusBeamTreeElemOld(ClusBeamModel) - Constructor for class si.ijs.kt.clus.ext.beamsearch.ClusBeamTreeElemOld
- ClusBoostingForest - Class in si.ijs.kt.clus.ext.ensemble
- ClusBoostingForest(ClusStatManager) - Constructor for class si.ijs.kt.clus.ext.ensemble.ClusBoostingForest
- ClusBoostingInduce - Class in si.ijs.kt.clus.ext.ensemble
- ClusBoostingInduce(ClusSchema, Settings) - Constructor for class si.ijs.kt.clus.ext.ensemble.ClusBoostingInduce
- ClusCalcRuleErrorProc - Class in si.ijs.kt.clus.algo.rules
- ClusCalcRuleErrorProc(int, ClusErrorList) - Constructor for class si.ijs.kt.clus.algo.rules.ClusCalcRuleErrorProc
- ClusConstraintFile - Class in si.ijs.kt.clus.ext.constraint
- ClusConstraintFile() - Constructor for class si.ijs.kt.clus.ext.constraint.ClusConstraintFile
- ClusData - Class in si.ijs.kt.clus.data
- ClusData() - Constructor for class si.ijs.kt.clus.data.ClusData
- ClusDecisionTree - Class in si.ijs.kt.clus.algo.tdidt
- ClusDecisionTree(Clus) - Constructor for class si.ijs.kt.clus.algo.tdidt.ClusDecisionTree
- ClusDistance - Class in si.ijs.kt.clus.distance
- ClusDistance() - Constructor for class si.ijs.kt.clus.distance.ClusDistance
- ClusEnsembleClassifier - Class in si.ijs.kt.clus.ext.ensemble
- ClusEnsembleClassifier(Clus) - Constructor for class si.ijs.kt.clus.ext.ensemble.ClusEnsembleClassifier
- ClusEnsembleFeatureRanking - Class in si.ijs.kt.clus.ext.featureRanking.ensemble
- ClusEnsembleFeatureRanking(Settings, SettingsEnsemble.EnsembleRanking, ClusEnsembleFeatureRankings) - Constructor for class si.ijs.kt.clus.ext.featureRanking.ensemble.ClusEnsembleFeatureRanking
- ClusEnsembleFeatureRankings - Class in si.ijs.kt.clus.ext.featureRanking.ensemble
- ClusEnsembleFeatureRankings(Settings) - Constructor for class si.ijs.kt.clus.ext.featureRanking.ensemble.ClusEnsembleFeatureRankings
- ClusEnsembleInduce - Class in si.ijs.kt.clus.ext.ensemble
- ClusEnsembleInduce(ClusInductionAlgorithm, Clus) - Constructor for class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce
- ClusEnsembleInduce(ClusSchema, Settings, Clus) - Constructor for class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce
- ClusEnsembleInduce.ParallelTrap - Enum Class in si.ijs.kt.clus.ext.ensemble
-
Random tree depths for different iterations, used for tree to rules optimization procedures.
- ClusEnsembleInduceOptClassification - Class in si.ijs.kt.clus.ext.ensemble
- ClusEnsembleInduceOptClassification(TupleIterator, TupleIterator, Settings) - Constructor for class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptClassification
- ClusEnsembleInduceOptimization - Class in si.ijs.kt.clus.ext.ensemble
- ClusEnsembleInduceOptimization(TupleIterator, TupleIterator, Settings) - Constructor for class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptimization
- ClusEnsembleInduceOptRegHMLC - Class in si.ijs.kt.clus.ext.ensemble
- ClusEnsembleInduceOptRegHMLC(TupleIterator, TupleIterator, Settings) - Constructor for class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptRegHMLC
- ClusEnsemblePredictionWriter - Class in si.ijs.kt.clus.model.processor
-
Writing the predictions from the ensemble in a separate file, their standard deviations from the voting procedure and the respective votes from each base classifier.
- ClusEnsemblePredictionWriter(String) - Constructor for class si.ijs.kt.clus.model.processor.ClusEnsemblePredictionWriter
- ClusEnsemblePredictionWriter(String, ClusSchema, Settings) - Constructor for class si.ijs.kt.clus.model.processor.ClusEnsemblePredictionWriter
- ClusEnsembleROSInfo - Class in si.ijs.kt.clus.ext.ensemble.ros
- ClusEnsembleROSInfo(ClusSchema, ArrayList<int[]>, SettingsEnsemble.EnsembleROSAlgorithmType, SettingsEnsemble.EnsembleROSVotingType, int) - Constructor for class si.ijs.kt.clus.ext.ensemble.ros.ClusEnsembleROSInfo
- ClusError - Class in si.ijs.kt.clus.error.common
- ClusError(ClusErrorList) - Constructor for class si.ijs.kt.clus.error.common.ClusError
- ClusError(ClusErrorList, int) - Constructor for class si.ijs.kt.clus.error.common.ClusError
- ClusErrorList - Class in si.ijs.kt.clus.error.common
- ClusErrorList() - Constructor for class si.ijs.kt.clus.error.common.ClusErrorList
- ClusErrorOutput - Class in si.ijs.kt.clus.error.common
- ClusErrorOutput(String, ClusSchema, Settings) - Constructor for class si.ijs.kt.clus.error.common.ClusErrorOutput
- ClusErrorOutput(String, Settings) - Constructor for class si.ijs.kt.clus.error.common.ClusErrorOutput
- ClusErrorOutput(ClusSchema, Settings) - Constructor for class si.ijs.kt.clus.error.common.ClusErrorOutput
- ClusException - Exception Class in si.ijs.kt.clus.util.exception
- ClusException(String) - Constructor for exception class si.ijs.kt.clus.util.exception.ClusException
- ClusException(String, Object...) - Constructor for exception class si.ijs.kt.clus.util.exception.ClusException
- ClusExhaustive - Class in si.ijs.kt.clus.ext.exhaustivesearch
- ClusExhaustive(int) - Constructor for class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustive
- ClusExhaustiveDFSearch - Class in si.ijs.kt.clus.ext.exhaustivesearch
- ClusExhaustiveDFSearch(Clus) - Constructor for class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveDFSearch
- ClusExhaustiveInduce - Class in si.ijs.kt.clus.ext.exhaustivesearch
- ClusExhaustiveInduce(ClusSchema, Settings, ClusExhaustiveSearch) - Constructor for class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveInduce
- ClusExhaustiveSearch - Class in si.ijs.kt.clus.ext.exhaustivesearch
- ClusExhaustiveSearch(Clus) - Constructor for class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- ClusFastBeamSearch - Class in si.ijs.kt.clus.ext.beamsearch
- ClusFastBeamSearch(Clus) - Constructor for class si.ijs.kt.clus.ext.beamsearch.ClusFastBeamSearch
- ClusFeatureRanking - Class in si.ijs.kt.clus.ext.featureRanking
- ClusFeatureRanking(Settings) - Constructor for class si.ijs.kt.clus.ext.featureRanking.ClusFeatureRanking
- ClusForest - Class in si.ijs.kt.clus.ext.ensemble
-
Ensemble of decision trees.
- ClusForest(ClusStatManager) - Constructor for class si.ijs.kt.clus.ext.ensemble.ClusForest
- ClusForest(ClusStatManager, ClusEnsembleInduceOptimization) - Constructor for class si.ijs.kt.clus.ext.ensemble.ClusForest
- ClusFormat - Class in si.ijs.kt.clus.util.format
- ClusFormat() - Constructor for class si.ijs.kt.clus.util.format.ClusFormat
- ClusHeuristic - Class in si.ijs.kt.clus.heuristic
- ClusHeuristic(Settings) - Constructor for class si.ijs.kt.clus.heuristic.ClusHeuristic
- ClusHeuristicImpl - Class in si.ijs.kt.clus.heuristic
- ClusHeuristicImpl(ClusStatistic, Settings) - Constructor for class si.ijs.kt.clus.heuristic.ClusHeuristicImpl
- ClusHMTRHierarchy - Class in si.ijs.kt.clus.ext.hierarchicalmtr
-
Created by Vanja Mileski on 12/15/2016.
- ClusHMTRHierarchy() - Constructor for class si.ijs.kt.clus.ext.hierarchicalmtr.ClusHMTRHierarchy
- ClusHMTRHierarchy(String) - Constructor for class si.ijs.kt.clus.ext.hierarchicalmtr.ClusHMTRHierarchy
- ClusHMTRNode - Class in si.ijs.kt.clus.ext.hierarchicalmtr
-
Created by Vanja Mileski on 12/16/2016.
- ClusHMTRNode(boolean, String) - Constructor for class si.ijs.kt.clus.ext.hierarchicalmtr.ClusHMTRNode
- ClusHMTRNode(String) - Constructor for class si.ijs.kt.clus.ext.hierarchicalmtr.ClusHMTRNode
- ClusInductionAlgorithm - Class in si.ijs.kt.clus.algo
-
Subclasses should implement: public ClusModel induceSingleUnpruned(ClusRun cr); In addition, subclasses may also want to implement (to return more than one model): public void induceAll(ClusRun cr);
- ClusInductionAlgorithm(ClusInductionAlgorithm) - Constructor for class si.ijs.kt.clus.algo.ClusInductionAlgorithm
- ClusInductionAlgorithm(ClusInductionAlgorithm, ClusStatManager) - Constructor for class si.ijs.kt.clus.algo.ClusInductionAlgorithm
-
Used in parallelisation.
- ClusInductionAlgorithm(ClusSchema, Settings) - Constructor for class si.ijs.kt.clus.algo.ClusInductionAlgorithm
- ClusInductionAlgorithmType - Class in si.ijs.kt.clus.algo
-
For each type of algorithm there should be a ClusClassifier object.
- ClusInductionAlgorithmType(Clus) - Constructor for class si.ijs.kt.clus.algo.ClusInductionAlgorithmType
- ClusInvalidSettingsException - Exception Class in si.ijs.kt.clus.util.exception
- ClusInvalidSettingsException(String) - Constructor for exception class si.ijs.kt.clus.util.exception.ClusInvalidSettingsException
- ClusInvalidSettingsException(List<String>) - Constructor for exception class si.ijs.kt.clus.util.exception.ClusInvalidSettingsException
- ClusLearner - Class in si.ijs.kt.clus.addon.sit.mtLearner
- ClusLearner() - Constructor for class si.ijs.kt.clus.addon.sit.mtLearner.ClusLearner
- ClusLogger - Class in si.ijs.kt.clus.util
-
This is the logging class.
- ClusLogger() - Constructor for class si.ijs.kt.clus.util.ClusLogger
- ClusMisc - Class in si.ijs.kt.clus.util
- ClusMisc() - Constructor for class si.ijs.kt.clus.util.ClusMisc
- ClusModel - Interface in si.ijs.kt.clus.model
- ClusModelCollectionIO - Class in si.ijs.kt.clus.model.io
- ClusModelCollectionIO() - Constructor for class si.ijs.kt.clus.model.io.ClusModelCollectionIO
- ClusModelInfo - Class in si.ijs.kt.clus.model
- ClusModelInfo(String) - Constructor for class si.ijs.kt.clus.model.ClusModelInfo
- ClusModelInfoList - Class in si.ijs.kt.clus.main
- ClusModelInfoList() - Constructor for class si.ijs.kt.clus.main.ClusModelInfoList
- ClusModelPredictor - Class in si.ijs.kt.clus.model
- ClusModelPredictor() - Constructor for class si.ijs.kt.clus.model.ClusModelPredictor
- ClusModelProcessor - Class in si.ijs.kt.clus.model.processor
- ClusModelProcessor() - Constructor for class si.ijs.kt.clus.model.processor.ClusModelProcessor
- ClusNode - Class in si.ijs.kt.clus.algo.tdidt
- ClusNode() - Constructor for class si.ijs.kt.clus.algo.tdidt.ClusNode
- ClusNominalError - Class in si.ijs.kt.clus.error.common
- ClusNominalError(ClusErrorList, int) - Constructor for class si.ijs.kt.clus.error.common.ClusNominalError
- ClusNominalError(ClusErrorList, NominalAttrType[]) - Constructor for class si.ijs.kt.clus.error.common.ClusNominalError
- ClusNormalizedAttributeWeights - Class in si.ijs.kt.clus.data.attweights
- ClusNormalizedAttributeWeights(ClusAttributeWeights) - Constructor for class si.ijs.kt.clus.data.attweights.ClusNormalizedAttributeWeights
- ClusNumberFormat - Class in si.ijs.kt.clus.util.format
-
Clus formatter for the numbers that differently formats numbers whose absolute value is at least 1, and the others.
- ClusNumberFormat(int) - Constructor for class si.ijs.kt.clus.util.format.ClusNumberFormat
- ClusNumericError - Class in si.ijs.kt.clus.error.common
- ClusNumericError(ClusErrorList, int) - Constructor for class si.ijs.kt.clus.error.common.ClusNumericError
- ClusNumericError(ClusErrorList, NumericAttrType[]) - Constructor for class si.ijs.kt.clus.error.common.ClusNumericError
- ClusOOBErrorEstimate - Class in si.ijs.kt.clus.ext.ensemble
- ClusOOBErrorEstimate(ClusStatManager.Mode, Settings) - Constructor for class si.ijs.kt.clus.ext.ensemble.ClusOOBErrorEstimate
- ClusOOBWeights - Class in si.ijs.kt.clus.ext.ensemble
-
Class that holds OOB weights.
- ClusOOBWeights(SettingsEnsemble.EnsembleVotingType) - Constructor for class si.ijs.kt.clus.ext.ensemble.ClusOOBWeights
- ClusOptionNode - Class in si.ijs.kt.clus.ext.optiontree
- ClusOptionNode() - Constructor for class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- ClusOptionTree - Class in si.ijs.kt.clus.ext.optiontree
- ClusOptionTree(Clus) - Constructor for class si.ijs.kt.clus.ext.optiontree.ClusOptionTree
- ClusOutput - Class in si.ijs.kt.clus.main
-
Class for outputting the training and testing results to .out file.
- ClusOutput(String, ClusSchema, Settings) - Constructor for class si.ijs.kt.clus.main.ClusOutput
- ClusOutput(ClusSchema, Settings) - Constructor for class si.ijs.kt.clus.main.ClusOutput
- ClusRandom - Class in si.ijs.kt.clus.util
- ClusRandom() - Constructor for class si.ijs.kt.clus.util.ClusRandom
- ClusRandomNonstatic - Class in si.ijs.kt.clus.util
- ClusRandomNonstatic(int) - Constructor for class si.ijs.kt.clus.util.ClusRandomNonstatic
- ClusReader - Class in si.ijs.kt.clus.data.io
- ClusReader(String, Settings) - Constructor for class si.ijs.kt.clus.data.io.ClusReader
- ClusReadWriteLock - Class in si.ijs.kt.clus.ext.ensemble
- ClusReadWriteLock() - Constructor for class si.ijs.kt.clus.ext.ensemble.ClusReadWriteLock
- ClusReliefFeatureRanking - Class in si.ijs.kt.clus.ext.featureRanking.relief
- ClusReliefFeatureRanking(RowData, int[], int[], boolean, double, int, Settings, SettingsRelief.MissingTargetHandling, double[], ClusRun) - Constructor for class si.ijs.kt.clus.ext.featureRanking.relief.ClusReliefFeatureRanking
-
Constructor for the
ClusReliefFeatureRanking
, with the standard parameters of (R)Relief(F). - ClusROSForestInfo - Class in si.ijs.kt.clus.ext.ensemble.ros
- ClusROSForestInfo(SettingsEnsemble.EnsembleROSAlgorithmType, SettingsEnsemble.EnsembleROSVotingType, int) - Constructor for class si.ijs.kt.clus.ext.ensemble.ros.ClusROSForestInfo
- ClusROSHelpers - Class in si.ijs.kt.clus.ext.ensemble.ros
- ClusROSHelpers() - Constructor for class si.ijs.kt.clus.ext.ensemble.ros.ClusROSHelpers
- ClusROSModelInfo - Class in si.ijs.kt.clus.ext.ensemble.ros
- ClusROSModelInfo(int, int, HashMap<Integer, Integer>, int) - Constructor for class si.ijs.kt.clus.ext.ensemble.ros.ClusROSModelInfo
- ClusROSOOBWeights - Class in si.ijs.kt.clus.ext.ensemble.ros
-
Class that holds OOB weights for ROS ensembles.
- ClusROSOOBWeights(SettingsEnsemble.EnsembleVotingType, SettingsEnsemble.EnsembleROSVotingType) - Constructor for class si.ijs.kt.clus.ext.ensemble.ros.ClusROSOOBWeights
- ClusRule - Class in si.ijs.kt.clus.algo.rules
- ClusRule(ClusStatManager) - Constructor for class si.ijs.kt.clus.algo.rules.ClusRule
- ClusRuleClassifier - Class in si.ijs.kt.clus.algo.rules
- ClusRuleClassifier(Clus) - Constructor for class si.ijs.kt.clus.algo.rules.ClusRuleClassifier
- ClusRuleConstraintInduce - Class in si.ijs.kt.clus.algo.rules
- ClusRuleConstraintInduce(ClusSchema, Settings) - Constructor for class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
- ClusRuleConstraintInduceTest - Class in si.ijs.kt.clus.model.test
- ClusRuleConstraintInduceTest(ClusAttrType, double, boolean) - Constructor for class si.ijs.kt.clus.model.test.ClusRuleConstraintInduceTest
- ClusRuleFromTreeInduce - Class in si.ijs.kt.clus.algo.rules
-
Create rules by decision tree ensemble algorithms (forests).
- ClusRuleFromTreeInduce(ClusSchema, Settings, Clus) - Constructor for class si.ijs.kt.clus.algo.rules.ClusRuleFromTreeInduce
- ClusRuleHelperMethods - Class in si.ijs.kt.clus.algo.rules.probabilistic
- ClusRuleHelperMethods() - Constructor for class si.ijs.kt.clus.algo.rules.probabilistic.ClusRuleHelperMethods
- ClusRuleHeuristicDispersion - Class in si.ijs.kt.clus.heuristic.rules
- ClusRuleHeuristicDispersion(Settings) - Constructor for class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicDispersion
- ClusRuleHeuristicDispersionAdt - Class in si.ijs.kt.clus.heuristic.rules
- ClusRuleHeuristicDispersionAdt(ClusStatManager, ClusAttributeWeights, Settings) - Constructor for class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicDispersionAdt
- ClusRuleHeuristicDispersionMlt - Class in si.ijs.kt.clus.heuristic.rules
- ClusRuleHeuristicDispersionMlt(ClusStatManager, ClusAttributeWeights, Settings) - Constructor for class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicDispersionMlt
- ClusRuleHeuristicError - Class in si.ijs.kt.clus.heuristic.rules
- ClusRuleHeuristicError(ClusStatManager, ClusAttributeWeights, Settings) - Constructor for class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicError
- ClusRuleHeuristicHierarchical - Class in si.ijs.kt.clus.heuristic.hierarchical
- ClusRuleHeuristicHierarchical(ClusStatManager, ClusAttributeWeights, Settings) - Constructor for class si.ijs.kt.clus.heuristic.hierarchical.ClusRuleHeuristicHierarchical
- ClusRuleHeuristicMEstimate - Class in si.ijs.kt.clus.heuristic.rules
- ClusRuleHeuristicMEstimate(double, Settings) - Constructor for class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicMEstimate
- ClusRuleHeuristicRDispersionAdt - Class in si.ijs.kt.clus.heuristic.rules
- ClusRuleHeuristicRDispersionAdt(ClusStatManager, ClusAttributeWeights, Settings) - Constructor for class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicRDispersionAdt
- ClusRuleHeuristicRDispersionMlt - Class in si.ijs.kt.clus.heuristic.rules
- ClusRuleHeuristicRDispersionMlt(ClusStatManager, ClusAttributeWeights, Settings) - Constructor for class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicRDispersionMlt
- ClusRuleHeuristicSSD - Class in si.ijs.kt.clus.heuristic.rules
- ClusRuleHeuristicSSD(ClusStatManager, String, ClusStatistic, ClusAttributeWeights, Settings) - Constructor for class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicSSD
- ClusRuleInduce - Class in si.ijs.kt.clus.algo.rules
- ClusRuleInduce(ClusSchema, Settings) - Constructor for class si.ijs.kt.clus.algo.rules.ClusRuleInduce
- ClusRuleLinearTerm - Class in si.ijs.kt.clus.algo.rules
-
A linear term that has been included in the rule set.
- ClusRuleLinearTerm(ClusStatManager, int, int) - Constructor for class si.ijs.kt.clus.algo.rules.ClusRuleLinearTerm
-
A constructor for creating linear terms.
- ClusRuleProbabilisticRuleSetInduce - Class in si.ijs.kt.clus.algo.rules.probabilistic
- ClusRuleProbabilisticRuleSetInduce(ClusSchema, Settings, Clus) - Constructor for class si.ijs.kt.clus.algo.rules.probabilistic.ClusRuleProbabilisticRuleSetInduce
-
Constructor
- ClusRuleProbabilisticRuleSetInduceOLD - Class in si.ijs.kt.clus.algo.rules.probabilistic
- ClusRuleProbabilisticRuleSetInduceOLD() - Constructor for class si.ijs.kt.clus.algo.rules.probabilistic.ClusRuleProbabilisticRuleSetInduceOLD
- ClusRuleProbabilisticRuleSetInduceWeights - Class in si.ijs.kt.clus.algo.rules.probabilistic
-
Helper class for SLS algorithm weights.
- ClusRuleProbabilisticRuleSetInduceWeights() - Constructor for class si.ijs.kt.clus.algo.rules.probabilistic.ClusRuleProbabilisticRuleSetInduceWeights
-
By Default Accuracy and Size are taken into account with weights 1.0
- ClusRuleProbabilisticRuleSetInduceWeights(double[], boolean[]) - Constructor for class si.ijs.kt.clus.algo.rules.probabilistic.ClusRuleProbabilisticRuleSetInduceWeights
-
Return input weights
- ClusRuleSet - Class in si.ijs.kt.clus.algo.rules
-
Class representing a set of predictive clustering rules.
- ClusRuleSet(ClusStatManager) - Constructor for class si.ijs.kt.clus.algo.rules.ClusRuleSet
- ClusRulesForAttrs - Class in si.ijs.kt.clus.algo.rules
-
Create one rule for each value of each nominal attribute
- ClusRulesForAttrs() - Constructor for class si.ijs.kt.clus.algo.rules.ClusRulesForAttrs
- ClusRulesFromTree - Class in si.ijs.kt.clus.algo.rules
-
Rule set created from a tree.
- ClusRulesFromTree(boolean, SettingsOutput.ConvertRules) - Constructor for class si.ijs.kt.clus.algo.rules.ClusRulesFromTree
-
The parameter seems to be always true?
- ClusRulesRandom - Class in si.ijs.kt.clus.algo.rules
- ClusRulesRandom(ClusRun) - Constructor for class si.ijs.kt.clus.algo.rules.ClusRulesRandom
- ClusRun - Class in si.ijs.kt.clus.main
- ClusRun(ClusData, ClusSummary) - Constructor for class si.ijs.kt.clus.main.ClusRun
- ClusRun(ClusRun) - Constructor for class si.ijs.kt.clus.main.ClusRun
- ClusSchema - Class in si.ijs.kt.clus.data
- ClusSchema(String) - Constructor for class si.ijs.kt.clus.data.ClusSchema
- ClusSchema(String, String) - Constructor for class si.ijs.kt.clus.data.ClusSchema
- ClusSchemaInitializer - Interface in si.ijs.kt.clus.data
- ClusSelection - Class in si.ijs.kt.clus.selection
- ClusSelection(int) - Constructor for class si.ijs.kt.clus.selection.ClusSelection
- ClusSelfTrainingFTFInduce - Class in si.ijs.kt.clus.ext.semisupervised
-
Self-training that operates without confidence score Implemented on the basis of: Culp and Michailidis, An iterative algorithm for extending learners to a semi-supervised setting, Journal of Computational and Graphical Statistics, 2008
- ClusSelfTrainingFTFInduce(ClusSchema, Settings, ClusInductionAlgorithm) - Constructor for class si.ijs.kt.clus.ext.semisupervised.ClusSelfTrainingFTFInduce
- ClusSelfTrainingInduce - Class in si.ijs.kt.clus.ext.semisupervised
- ClusSelfTrainingInduce(ClusSchema, Settings, ClusInductionAlgorithm) - Constructor for class si.ijs.kt.clus.ext.semisupervised.ClusSelfTrainingInduce
- ClusSemiSupervisedClassifier - Class in si.ijs.kt.clus.ext.semisupervised
- ClusSemiSupervisedClassifier(Clus, ClusInductionAlgorithmType) - Constructor for class si.ijs.kt.clus.ext.semisupervised.ClusSemiSupervisedClassifier
- ClusSemiSupervisedInduce - Class in si.ijs.kt.clus.ext.semisupervised
- ClusSemiSupervisedInduce(ClusInductionAlgorithm) - Constructor for class si.ijs.kt.clus.ext.semisupervised.ClusSemiSupervisedInduce
- ClusSemiSupervisedInduce(ClusSchema, Settings) - Constructor for class si.ijs.kt.clus.ext.semisupervised.ClusSemiSupervisedInduce
- ClusSemiSupervisedPCTs - Class in si.ijs.kt.clus.ext.semisupervised
- ClusSemiSupervisedPCTs(ClusInductionAlgorithm) - Constructor for class si.ijs.kt.clus.ext.semisupervised.ClusSemiSupervisedPCTs
- ClusSerializable - Class in si.ijs.kt.clus.util.io
- ClusSerializable() - Constructor for class si.ijs.kt.clus.util.io.ClusSerializable
- ClusSetError - Class in si.ijs.kt.clus.error.common
- ClusSetError(ClusErrorList, int) - Constructor for class si.ijs.kt.clus.error.common.ClusSetError
- ClusSetError(ClusErrorList, SetAttrType[]) - Constructor for class si.ijs.kt.clus.error.common.ClusSetError
- ClusShowModelInfo - Class in si.ijs.kt.clus.util.tools
- ClusShowModelInfo() - Constructor for class si.ijs.kt.clus.util.tools.ClusShowModelInfo
- ClusSITDecisionTree - Class in si.ijs.kt.clus.algo.tdidt
- ClusSITDecisionTree(ClusInductionAlgorithmType) - Constructor for class si.ijs.kt.clus.algo.tdidt.ClusSITDecisionTree
- ClusSplitNode - Class in si.ijs.kt.clus.ext.optiontree
- ClusSplitNode() - Constructor for class si.ijs.kt.clus.ext.optiontree.ClusSplitNode
- ClusStat - Class in si.ijs.kt.clus.main
- ClusStat() - Constructor for class si.ijs.kt.clus.main.ClusStat
- ClusStatistic - Class in si.ijs.kt.clus.statistic
-
Statistics about the data set.
- ClusStatistic(Settings) - Constructor for class si.ijs.kt.clus.statistic.ClusStatistic
- ClusStatManager - Class in si.ijs.kt.clus.main
-
Statistics manager Includes information about target attributes and weights etc.
- ClusStatManager(ClusSchema, Settings) - Constructor for class si.ijs.kt.clus.main.ClusStatManager
- ClusStatManager(ClusSchema, Settings, boolean) - Constructor for class si.ijs.kt.clus.main.ClusStatManager
- ClusStatManager.Mode - Enum Class in si.ijs.kt.clus.main
- ClusStatManager.TargetType - Enum Class in si.ijs.kt.clus.main
- ClusStopCriterion - Interface in si.ijs.kt.clus.heuristic.stopCriterion
- ClusStopCriterionMinNbExamples - Class in si.ijs.kt.clus.heuristic.stopCriterion
- ClusStopCriterionMinNbExamples(int) - Constructor for class si.ijs.kt.clus.heuristic.stopCriterion.ClusStopCriterionMinNbExamples
- ClusStopCriterionMinWeight - Class in si.ijs.kt.clus.heuristic.stopCriterion
- ClusStopCriterionMinWeight(double) - Constructor for class si.ijs.kt.clus.heuristic.stopCriterion.ClusStopCriterionMinWeight
- ClusStructuredDistance - Class in si.ijs.kt.clus.distance.complex
- ClusStructuredDistance() - Constructor for class si.ijs.kt.clus.distance.complex.ClusStructuredDistance
- ClusSumError - Class in si.ijs.kt.clus.error
- ClusSumError(ClusErrorList) - Constructor for class si.ijs.kt.clus.error.ClusSumError
- ClusSummary - Class in si.ijs.kt.clus.main
- ClusSummary() - Constructor for class si.ijs.kt.clus.main.ClusSummary
- Clustering - Enum constant in enum class si.ijs.kt.clus.data.type.ClusAttrType.AttributeUseType
- Clustering - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.RandomAttributeTypeSelection
- ClusterNoTarget - Enum constant in enum class si.ijs.kt.clus.data.type.ClusAttrType.Status
- clusterWeighted(DataTuple) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- ClusTreeReader - Class in si.ijs.kt.clus.model.io
- ClusTreeReader() - Constructor for class si.ijs.kt.clus.model.io.ClusTreeReader
- ClusUtil - Class in si.ijs.kt.clus.util
- ClusUtil() - Constructor for class si.ijs.kt.clus.util.ClusUtil
- ClusView - Class in si.ijs.kt.clus.data.io
- ClusView() - Constructor for class si.ijs.kt.clus.data.io.ClusView
- cmbPath(String, String) - Static method in class si.ijs.kt.clus.util.jeans.util.FileUtil
- CMDLineArgs - Class in si.ijs.kt.clus.util.jeans.util.cmdline
- CMDLineArgs(CMDLineArgsProvider) - Constructor for class si.ijs.kt.clus.util.jeans.util.cmdline.CMDLineArgs
- CMDLineArgsProvider - Interface in si.ijs.kt.clus.util.jeans.util.cmdline
- collectAttributes(ClusAttrType.AttributeUseType, ClusAttrType.AttributeType) - Method in class si.ijs.kt.clus.data.ClusSchema
- COLS - Static variable in class si.ijs.kt.clus.data.ClusSchema
- ColTarget - Class in si.ijs.kt.clus.data.cols
- ColTarget(ClusSchema) - Constructor for class si.ijs.kt.clus.data.cols.ColTarget
- combineAllFoldRuns(ClusInductionAlgorithmType) - Method in class si.ijs.kt.clus.Clus
- combineTrainAndValidSets() - Method in class si.ijs.kt.clus.main.ClusRun
- CombStat - Class in si.ijs.kt.clus.statistic
- CombStat(ClusStatManager, NumericAttrType[], NominalAttrType[]) - Constructor for class si.ijs.kt.clus.statistic.CombStat
-
Constructor for this class.
- CombStat(ClusStatManager, RegressionStat, ClassificationStat) - Constructor for class si.ijs.kt.clus.statistic.CombStat
- CombStatClassRegHier - Class in si.ijs.kt.clus.statistic
- CombStatClassRegHier(ClusStatManager, NumericAttrType[], NominalAttrType[], WHTDStatistic) - Constructor for class si.ijs.kt.clus.statistic.CombStatClassRegHier
- CombStatClassRegHier(ClusStatManager, RegressionStat, ClassificationStat, WHTDStatistic) - Constructor for class si.ijs.kt.clus.statistic.CombStatClassRegHier
-
Constructor for this class.
- commentchar - Variable in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- commentchar - Variable in class si.ijs.kt.clus.util.jeans.util.MTokenizer
- commonPrintForRuleTypes(PrintWriter, StatisticPrintInfo) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
-
Print for also nonregular rules
- compare(int, int) - Method in class si.ijs.kt.clus.data.rows.RowData
- compare(Object, Object) - Method in class si.ijs.kt.clus.util.jeans.util.array.MDoubleArrayComparator
- compare(Object, Object) - Method in interface si.ijs.kt.clus.util.jeans.util.sort.MComparator
- compare(Object, Object) - Method in class si.ijs.kt.clus.util.jeans.util.sort.MStringSorter
- compare(TestAndHeuristic, TestAndHeuristic) - Method in class si.ijs.kt.clus.ext.optiontree.FindBestTests.HeuristicComparator
- compareObjects(Vector, int, int, MComparator) - Static method in class si.ijs.kt.clus.util.jeans.util.sort.MVectorSorter
- compareTo(Object) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- compareTo(Object) - Method in class si.ijs.kt.clus.ext.semisupervised.utils.DoublesPair
- compareTo(Object) - Method in class si.ijs.kt.clus.ext.semisupervised.utils.IndiceValuePair
- compareTo(Object) - Method in class si.ijs.kt.clus.util.jeans.util.compound.DoubleBoolean
-
Comparing function that is used for sorting the objects of the type
DoubleBooleanCount
. - compareTo(Object) - Method in class si.ijs.kt.clus.util.jeans.util.compound.DoubleObject
- compareTo(Object) - Method in class si.ijs.kt.clus.util.jeans.util.compound.IntObject
- compareTo(ClusAttrType) - Method in class si.ijs.kt.clus.data.type.ClusAttrType
-
Compares to ClusAttrTypes based on index, allowing them to be sorted.
- compareTo(ClassTerm) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- compareValue(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- compareValue(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.data.type.primitive.IntegerAttrType
- compareValue(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- compareValue(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.data.type.primitive.NumericAttrType
- compareValue(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.data.type.primitive.StringAttrType
- compatibility(ROCAndPRCurve[], ROCAndPRCurve) - Method in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- CompleteTreeIterator - Class in si.ijs.kt.clus.util.jeans.tree
- CompleteTreeIterator(Node) - Constructor for class si.ijs.kt.clus.util.jeans.tree.CompleteTreeIterator
- ComponentError - Interface in si.ijs.kt.clus.error.common
- ComponentStatistic - Interface in si.ijs.kt.clus.statistic
- compute() - Method in class si.ijs.kt.clus.ext.ilevelc.DerivedConstraintsComputer
- compute(RowData) - Method in class si.ijs.kt.clus.error.CorrelationMatrixComputer
- compute(RowData, ClusModel) - Method in class si.ijs.kt.clus.error.common.ClusError
- compute(RowData, ClusModel) - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- compute(RowData, ClusModel) - Method in class si.ijs.kt.clus.error.ICVPairwiseDistancesError
- compute(RowData, ClusModel) - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesSignificantChangeTesterXVAL
- compute(RowData, ClusModelInfo) - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- computeAll() - Method in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- computeAll() - Method in class si.ijs.kt.clus.error.mlc.MLROCAndPRCurve
- computeAll() - Method in class si.ijs.kt.clus.error.mlcForHmlc.MlcMeasuresForHmlc
- computeAll() - Method in class si.ijs.kt.clus.error.mlcForHmlc.MLROCAndPRCurve
- computeArea(ArrayList<double[]>) - Method in class si.ijs.kt.clus.error.ROCAndPRCurve
- computeArea(ArrayList<double[]>) - Static method in class si.ijs.kt.clus.statistic.WHTDStatistic
-
Computes the area under the (pooled) curve.
- computeAverageLoss(RowData, double[]) - Method in class si.ijs.kt.clus.ext.ensemble.ClusBoostingInduce
- computeCHeurStat(ClusNode, ClusNode, int[], int[]) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- computeClosure() - Method in class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI.ILevelCComponent
- computeClusteringErrorStandard(ClusNode, RowData, ClusError) - Static method in class si.ijs.kt.clus.pruning.TreeErrorComputer
- computeClusteringErrorStandard(ClusNode, RowData, ClusErrorList) - Static method in class si.ijs.kt.clus.pruning.TreeErrorComputer
- computeCosts(ClusNode, int) - Method in class si.ijs.kt.clus.pruning.SizeConstraintPruning
- computeCostUsingConstraints(ClusNode, int) - Static method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSizeConstraints
- computeCovariancesIfNeeded(int) - Method in class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
-
Compute the needed covariances for the weight.
- computeCoverageBits(RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
-
Compute a bit vector of covered examples
- computeCovered(RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- computeCoverStat(RowData, ClusStatistic) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- computeCurves() - Method in class si.ijs.kt.clus.error.ROCAndPRCurve
- computed - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSizeConstraintInfo
- computed - Variable in class si.ijs.kt.clus.pruning.SizeConstraintVisitor
- computeDispersion() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- computeDispersion(int) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
-
Computes the dispersion of data tuples covered by this rule.
- computeDispersion(int) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
Computes the dispersion of data tuples covered by each rule.
- computeDist() - Method in class si.ijs.kt.clus.distance.primitive.relief.Levenshtein
-
Dynamically computes distance between the strings
m_str1
andm_str2
and needs only O(m_len1 + m_len2
) space. - computeDistance(DataTuple) - Method in class si.ijs.kt.clus.ext.ilevelc.COPKMeansCluster
- computeDistance(DataTuple, DataTuple, int) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ClusReliefFeatureRanking
-
Distance between tuples in the subspace
space
. - computeDistance1D(DataTuple, DataTuple, ClusAttrType) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ClusReliefFeatureRanking
-
Calculates the distance between to tuples in a given component
attr
. - computeError(RowData, TimeSeries) - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesSignificantChangeTesterXVAL
- computeErrorList(ClusSchema, ClusStatManager) - Method in class si.ijs.kt.clus.ext.featureRanking.ClusFeatureRanking
- computeErrorNode(ClusNode, RowData, ClusError) - Static method in class si.ijs.kt.clus.pruning.TreeErrorComputer
- computeErrorOptimized(ClusNode, RowData, ClusErrorList, boolean) - Static method in class si.ijs.kt.clus.pruning.TreeErrorComputer
- computeErrorOptimized(ClusNode, RowData, ClusError, boolean) - Static method in class si.ijs.kt.clus.pruning.TreeErrorComputer
- computeErrorScore(RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
Computes the error score of the rule set.
- computeErrorSimple(ClusNode, ClusError) - Static method in class si.ijs.kt.clus.pruning.TreeErrorComputer
- computeErrorStandard(ClusNode, int, ClusRun) - Method in class si.ijs.kt.clus.algo.tdidt.tune.CDTuneSizeConstrPruning
- computeErrorStandard(ClusNode, RowData, ClusError) - Static method in class si.ijs.kt.clus.pruning.TreeErrorComputer
- computeFinalScores(int) - Method in class si.ijs.kt.clus.ext.featureRanking.ClusFeatureRanking
-
Normalizes the feature importance scores.
- computeForRule(ClusRule, ClusSchema) - Method in class si.ijs.kt.clus.error.ICVPairwiseDistancesError
- computeForRule(ClusRule, ClusSchema) - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesSignificantChangeTesterXVAL
- computeForRuleSet(ClusRuleSet, ClusSchema) - Method in class si.ijs.kt.clus.error.ICVPairwiseDistancesError
- computeGlobalHeuristic(NodeTest, RowData, CurrentBestTestAndHeuristic) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusFastBeamSearch
- computeHeuristic(int, double) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- computeHeuristic(ILevelCHeurStat, ILevelCHeurStat, ILevelCStatistic, boolean, double, int) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- computeHierarchicalDist1D(DataTuple, DataTuple, ClassesAttrType) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ClusReliefFeatureRanking
-
Calculates the distance between hierarchical sets of labels of data tuples t1 and t2.
- computeICVPairwiseDistances(ClusDistance, RowData) - Static method in class si.ijs.kt.clus.error.ICVPairwiseDistancesError
- computeImportances(int, int, int, boolean, double[]) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.statistics.Classic
- computeImportances(int, int, int, boolean, double[]) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.statistics.DistanceSimplified
- computeImportances(int, int, int, boolean, double[]) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.statistics.Statistics
- computeImportances(int, int, int, boolean, double[]) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.statistics.Steepness
- computeImportances(int, int, int, boolean, double[]) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.statistics.Variance
- computeLeafAdd(ClusNode) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristic
- computeLeafAdd(ClusNode) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristicError
- computeLeafAdd(ClusNode) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristicMEstimate
- computeLeafAdd(ClusNode) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristicMorishita
- computeLeafAdd(ClusNode) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristicSS
- computeLeafAdd(ClusNode) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- computeLeafAdd(ClusNode) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- computeLeafError(ClusStatistic) - Method in class si.ijs.kt.clus.error.ClusSumError
- computeLeafError(ClusStatistic) - Method in class si.ijs.kt.clus.error.common.ClusError
- computeLeafError(ClusStatistic) - Method in class si.ijs.kt.clus.error.MisclassificationError
- computeLeafError(ClusStatistic) - Method in class si.ijs.kt.clus.error.MSError
- computeLeafError(ClusStatistic) - Method in class si.ijs.kt.clus.error.MSNominalError
- computeLeafError(ClusStatistic) - Method in class si.ijs.kt.clus.error.sets.Accuracy
- computeLeafError(ClusStatistic) - Method in class si.ijs.kt.clus.error.sets.F1Score
- computeLeafError(ClusStatistic) - Method in class si.ijs.kt.clus.error.sets.HammingLossError
- computeLeafError(ClusStatistic) - Method in class si.ijs.kt.clus.error.sets.Precision
- computeLeafError(ClusStatistic) - Method in class si.ijs.kt.clus.error.sets.Recall
- computeLeafError(ClusStatistic) - Method in class si.ijs.kt.clus.error.sets.SubsetAccuracy
- computeLowerBound(ClusStatistic, int) - Static method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSizeConstraints
- computeMeanTuple() - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- computeMeanValue(TimeSeriesAttrType, RowData) - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesSignificantChangeTesterXVAL
- computeMinimumExtViolated(int, int, boolean) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCHeurStat
- computeMinValue() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeam
- computeMorishitaStat(ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristicMorishita
- computeNodeCost(ClusNode) - Method in class si.ijs.kt.clus.pruning.SizeConstraintPruning
- computeNodesLeavesDepth() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- computeNom(RowData) - Method in class si.ijs.kt.clus.error.CorrelationMatrixComputer
- computeNominalDist1D(DataTuple, DataTuple, NominalAttrType) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ClusReliefFeatureRanking
-
Calculates distance between the nominal values of the component
attr
. - computeNormalizedLoss(RowData, ClusNode) - Method in class si.ijs.kt.clus.ext.ensemble.ClusBoostingInduce
- computeNRecursive(ClusNode) - Method in class si.ijs.kt.clus.ext.hierarchical.HierRemoveInsigClasses
- computeNum(RowData) - Method in class si.ijs.kt.clus.error.CorrelationMatrixComputer
- computeNumericDist1D(DataTuple, DataTuple, NumericAttrType, double) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ClusReliefFeatureRanking
-
Calculates distance between the numeric values of the component
attr
. - computePrecision(double) - Method in class si.ijs.kt.clus.error.ROCAndPRCurve
- computePrecisions(double[]) - Method in class si.ijs.kt.clus.error.ROCAndPRCurve
- computePrediction() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
-
Computes predictions for the rule by taking the mean of covered examples.
- computePrediction() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- computePrediction() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- computePrediction() - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- computePrediction() - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- computePrintTuple() - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- computeRandIndex() - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCRandIndex
- computeRandIndex(int[]) - Method in class si.ijs.kt.clus.ext.ilevelc.COPKMeans
- computeRandIndex(RowData, int[], String) - Method in class si.ijs.kt.clus.ext.ilevelc.MPCKMeansWrapper
- computeRecursive(ClusNode, RowData) - Method in class si.ijs.kt.clus.error.ICVPairwiseDistancesError
- computeRecursive(ClassTerm, ClassHierarchy, RowData, RowData, RowData, boolean[]) - Method in class si.ijs.kt.clus.addon.hmc.HMCNodeWiseModels.hmcnwmodels.HMCNodeWiseModels
- computeRecursiveRoot(ClassTerm, ClassHierarchy, RowData, RowData, RowData, boolean[]) - Method in class si.ijs.kt.clus.addon.hmc.HMCNodeWiseModels.hmcnwmodels.HMCNodeWiseModels
- computeReliefImportance(RowData) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ClusReliefFeatureRanking
-
Calculates the feature importances for a given dataset.
- computeSignificantChangePValueXVAL(RowData) - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesSignificantChangeTesterXVAL
- computeSplitInfo(double, double, double) - Static method in class si.ijs.kt.clus.statistic.ClassificationStat
- computeStats() - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageSingleClass
- computeStringDist1D(DataTuple, DataTuple, StringAttrType) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ClusReliefFeatureRanking
-
Computes Levenshtein's distance between the string values of the component
attr
. - computeTestStatistics(ClusRun[], int, ClusError) - Method in class si.ijs.kt.clus.algo.tdidt.tune.CDTuneSizeConstrPruning
- computeTimeSeriesDist1D(DataTuple, DataTuple, TimeSeriesAttrType) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ClusReliefFeatureRanking
-
Computes distance between the time series values of the component
attr
. - computeTotal() - Method in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- computeTrainSetStat(RowData) - Method in class si.ijs.kt.clus.main.ClusStatManager
- computeTrainSetStat(RowData, ClusAttrType.AttributeUseType) - Method in class si.ijs.kt.clus.main.ClusStatManager
- computeTreeError(ClusRun[], SizeConstraintPruning[], int, ClusSummary, int) - Method in class si.ijs.kt.clus.algo.tdidt.tune.CDTuneSizeConstrPruning
- computeTreeErrorClusteringAbsolute(ClusNode) - Method in class si.ijs.kt.clus.error.common.ClusError
- computeVariance() - Method in class si.ijs.kt.clus.ext.ilevelc.COPKMeans
- computeWeights() - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ReliefModel
- computeZScore() - Method in class si.ijs.kt.clus.pruning.C45Pruner
- concatarraysorted(double[], double[]) - Static method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- considerImmutable(Class<?>) - Method in class si.ijs.kt.clus.util.cloner.Cloner
-
override this to decide if a class is immutable.
- considerUnlableInstancesInIGCalc() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- Constant - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsKNN.DistanceWeights
- ConstraintDFInduce - Class in si.ijs.kt.clus.algo.tdidt
- ConstraintDFInduce(ClusInductionAlgorithm) - Constructor for class si.ijs.kt.clus.algo.tdidt.ConstraintDFInduce
- ConstraintDFInduce(ClusSchema, Settings, boolean) - Constructor for class si.ijs.kt.clus.algo.tdidt.ConstraintDFInduce
- constructComplDistVector(int[], int[]) - Method in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- constructComplIndexVector(RowData, int[]) - Method in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristic
- constructIndexVector(RowData) - Method in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristic
- constructIndexVector(RowData) - Method in class si.ijs.kt.clus.heuristic.GISHeuristic
- constructIndexVector(RowData, ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristic
- constructIndexVector(RowData, ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.GISHeuristic
- constructMatrix(ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- constructOptionRules(MyNode, ClusStatManager) - Method in class si.ijs.kt.clus.algo.rules.ClusRulesFromTree
-
Option tree conversion
- constructOptionRules(ClusRun, MyNode, ClusStatManager, boolean, SettingsRules.RulePredictionMethod) - Method in class si.ijs.kt.clus.algo.rules.ClusRulesFromTree
- constructRandomly(ClusRuleSet, RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRulesRandom
- constructRecursive(ClusNode, ClusRule, ClusRuleSet) - Method in class si.ijs.kt.clus.algo.rules.ClusRulesFromTree
-
Only terminal nodes are added to rule set
- constructRecursiveOption(MyNode, ClusRule, ClusRuleSet) - Method in class si.ijs.kt.clus.algo.rules.ClusRulesFromTree
-
Only terminal nodes are added to rule set (OPTION TREE)
- constructRules(ClusNode, ClusStatManager) - Method in class si.ijs.kt.clus.algo.rules.ClusRulesFromTree
-
Construct rules from terminal nodes of the given tree.
- constructRules(ClusRun) - Method in class si.ijs.kt.clus.algo.rules.ClusRulesForAttrs
- constructRules(ClusRun) - Method in class si.ijs.kt.clus.algo.rules.ClusRulesRandom
-
Constructs the random rules.
- constructRules(ClusRun, ClusNode, ClusStatManager, boolean, SettingsRules.RulePredictionMethod) - Method in class si.ijs.kt.clus.algo.rules.ClusRulesFromTree
-
Same as constructRules(ClusNode node, ClusStatManager mgr) but with additional parameter - ClusRun to get access to the data set.
- contains(int) - Method in class si.ijs.kt.clus.ext.optxval.OptXValSplit
- contains(int) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominal
- containsFold(DataTuple, int[]) - Method in class si.ijs.kt.clus.data.rows.RowData
- containsOOBForTuple(DataTuple) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- containsPredictionForTuple(DataTuple) - Static method in class si.ijs.kt.clus.ext.ensemble.ClusOOBErrorEstimate
- ContingencyTable - Class in si.ijs.kt.clus.error
- ContingencyTable(ClusErrorList, NominalAttrType[]) - Constructor for class si.ijs.kt.clus.error.ContingencyTable
- ContingencyTable(ClusErrorList, NominalAttrType[], String) - Constructor for class si.ijs.kt.clus.error.ContingencyTable
- CONTROL - Static variable in class si.ijs.kt.clus.util.jeans.util.MSStringTokenizer
- convert(String, String, boolean, boolean) - Method in class si.ijs.kt.clus.addon.hmc.HMCConvertToSC.HMCConvertToSC
- convert(String, String, double) - Method in class si.ijs.kt.clus.addon.hmc.HMCConvertDAGData.HMCConvertDAGData
- convertTo(MNumber) - Method in class si.ijs.kt.clus.util.jeans.math.MDouble
- convertTo(MNumber) - Method in class si.ijs.kt.clus.util.jeans.math.MNumber
- convertToPlainLinearTerms() - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
Update rule sets so, that the offset and scaling factors of linear terms are included In the weights.
- convertToPlainTerm(double[], double) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleLinearTerm
- convertToRules(ClusRun, boolean) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
-
Converts the forest to rule set and adds the model.
- convertToRules(ClusRun, ClusModelInfo) - Method in class si.ijs.kt.clus.algo.tdidt.ClusDecisionTree
-
Convert the tree to rules
- convertTree(Object) - Static method in class si.ijs.kt.clus.ext.optxval.OptXValBinTree
- convertTree(MyArray) - Static method in class si.ijs.kt.clus.ext.optxval.OptXValBinTree
- COPKMeans - Class in si.ijs.kt.clus.ext.ilevelc
- COPKMeans(int, ClusStatManager) - Constructor for class si.ijs.kt.clus.ext.ilevelc.COPKMeans
- COPKMeansCluster - Class in si.ijs.kt.clus.ext.ilevelc
- COPKMeansCluster(DataTuple, ClusStatManager) - Constructor for class si.ijs.kt.clus.ext.ilevelc.COPKMeansCluster
- COPKMeansModel - Class in si.ijs.kt.clus.ext.ilevelc
- COPKMeansModel() - Constructor for class si.ijs.kt.clus.ext.ilevelc.COPKMeansModel
- copy(ClusStatistic) - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreStat
- copy(ClusStatistic) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimClassStat
- copy(ClusStatistic) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimRegrStat
- copy(ClusStatistic) - Method in class si.ijs.kt.clus.ext.structuredTypes.SetStatistic
- copy(ClusStatistic) - Method in class si.ijs.kt.clus.ext.structuredTypes.TupleStatistic
- copy(ClusStatistic) - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesStat
- copy(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.BitVectorStat
- copy(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- copy(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- copy(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.CombStat
- copy(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.CombStatClassRegHier
- copy(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.GeneticDistanceStat
- copy(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.GISStat
-
Deprecated.
- copy(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.HierSumPairwiseDistancesStat
- copy(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- copy(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.RegressionStatBinaryNomiss
- copy(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.SumPairwiseDistancesStat
- copy(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- copy(BitList) - Method in class si.ijs.kt.clus.util.jeans.list.BitList
- copy(DEIndividual) - Method in class si.ijs.kt.clus.util.tools.optimization.de.DEIndividual
- copyActual(BinaryPredictionList) - Method in class si.ijs.kt.clus.error.BinaryPredictionList
- copyAll(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- copyAllModelsMIs() - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- copyAndSubtractFromThis(ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.statistic.GeneticDistanceStat
- copyAndSubtractFromThis(BitList, BitList) - Method in class si.ijs.kt.clus.util.jeans.list.BitList
- copyArrayIndex(ClusAttrType) - Method in class si.ijs.kt.clus.data.type.BitwiseNominalAttrType
- copyArrayIndex(ClusAttrType) - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- copyFrom(ClusAttributeWeights) - Method in class si.ijs.kt.clus.data.attweights.ClusAttributeWeights
- copyFrom(IntervalCollection) - Method in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- copyModelProcessors(int, ClusModelInfo) - Method in class si.ijs.kt.clus.model.ClusModelInfo
- copyModelProcessors(ClusModelInfo) - Method in class si.ijs.kt.clus.model.ClusModelInfo
- copyNormalizedWeighted(double) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
-
Clone this statistic by taking the given weight into account
- copyNormalizedWeighted(double) - Method in class si.ijs.kt.clus.statistic.GISStat
-
Deprecated.Clone this statistic by taking the given weight into account.
- copyNormalizedWeighted(double) - Method in class si.ijs.kt.clus.statistic.RegressionStat
-
Clone this statistic by taking the given weight into account.
- copyNormalizedWeighted(double) - Method in class si.ijs.kt.clus.statistic.RegressionStatBinaryNomiss
-
Clone this statistic by taking the given weight into account.
- copyPropertiesOfInheritedClass(T, E) - Method in class si.ijs.kt.clus.util.cloner.Cloner
-
copies all properties from src to dest.
- copyTotal() - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- copyTotal() - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- copyTotal(OptXValGroup) - Method in class si.ijs.kt.clus.ext.optxval.OptXValInduce
- copyTrainingData() - Method in class si.ijs.kt.clus.main.ClusRun
- correctCoverRuleCount(DataTuple) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
Returns the number of rules, that correctly predict a given tuple Correct prediction means that it is equal as original (for classification) and in certain bounds (for regression)
- correlation(double[], double[]) - Static method in class si.ijs.kt.clus.util.ClusUtil
- CorrelationMatrixComputer - Class in si.ijs.kt.clus.error
- CorrelationMatrixComputer() - Constructor for class si.ijs.kt.clus.error.CorrelationMatrixComputer
- cost - Variable in class si.ijs.kt.clus.pruning.SizeConstraintVisitor
- Count - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsOutput.ShowInfo
- COUNT - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMTR.HierarchyAggregationsHMTR
- CountByTarget - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsOutput.ShowInfo
- countClasses(RowData, double[]) - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageSingleClass
- countClassesRecursive(ClassTerm, int, int[]) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- countLabel(ClusNode, int) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- countNodesLeaves(ClusNode) - Static method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- countOnes(boolean[]) - Static method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- countPredictedRelevant() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- countRows() - Method in class si.ijs.kt.clus.data.io.ClusReader
- countRows2() - Method in class si.ijs.kt.clus.data.io.ClusReader
- countTrueRelevant() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- countViolatedConstaints(int[]) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- countViolatedConstaints(RowData, int[]) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- Coverage - Class in si.ijs.kt.clus.error.mlc
- Coverage - Class in si.ijs.kt.clus.error.mlcForHmlc
- Coverage - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsMLC.MultiLabelMeasures
- Coverage() - Constructor for class si.ijs.kt.clus.error.mlcForHmlc.Coverage
- Coverage(ClusErrorList, NominalAttrType[]) - Constructor for class si.ijs.kt.clus.error.mlc.Coverage
- CoverageWeighted - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.RulePredictionMethod
-
Each rule's prediction has a weight proportional to its coverage on the current learning set i.e., learning set on which the rule was learned
- covers(DataTuple) - Method in class si.ijs.kt.clus.addon.hmc.ClusAmandaRules.AmandaRule
- covers(DataTuple) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
-
Does the rule tests cover the given tuple
- covers(DataTuple) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleLinearTerm
-
Does the term cover the given tuple
- coversCorrect(DataTuple) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- coversIncorrect() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- create() - Method in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
- create() - Method in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- create() - Method in class si.ijs.kt.clus.main.settings.section.SettingsConstraints
- create() - Method in class si.ijs.kt.clus.main.settings.section.SettingsData
- create() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- create() - Method in class si.ijs.kt.clus.main.settings.section.SettingsExhaustiveSearch
- create() - Method in class si.ijs.kt.clus.main.settings.section.SettingsExperimental
- create() - Method in class si.ijs.kt.clus.main.settings.section.SettingsGeneral
- create() - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- create() - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMTR
- create() - Method in class si.ijs.kt.clus.main.settings.section.SettingsILevelC
- create() - Method in class si.ijs.kt.clus.main.settings.section.SettingsKNN
- create() - Method in class si.ijs.kt.clus.main.settings.section.SettingsKNNTree
- create() - Method in class si.ijs.kt.clus.main.settings.section.SettingsMLC
- create() - Method in class si.ijs.kt.clus.main.settings.section.SettingsModel
- create() - Method in class si.ijs.kt.clus.main.settings.section.SettingsNominal
- create() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOptionTree
- create() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- create() - Method in class si.ijs.kt.clus.main.settings.section.SettingsPhylogeny
- create() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRelief
- create() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- create() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSIT
- create() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- create() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTimeSeries
- create() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- create() - Method in class si.ijs.kt.clus.main.settings.SettingsBase
-
Method should handle the INIFileSection initialization.
- create(ClusStatManager, int) - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
-
Create statistics
- create(ClusStatManager, int) - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
-
Create statistics
- create(ClusStatManager, int) - Method in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- CREATE_TRAIN_TUNE_TEST_SPLIT - Static variable in class si.ijs.kt.clus.addon.hmc.HMCConvertDAGData.HMCConvertDAGData
- create2(ClusStatManager, int) - Method in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- createAdditiveError() - Method in class si.ijs.kt.clus.main.ClusStatManager
- createCallables(Iterable<T>, Parallel.Operation<T>) - Static method in class si.ijs.kt.clus.algo.rules.probabilistic.Parallel
- createCannotLinkSet(DisjointSetForest) - Method in class si.ijs.kt.clus.ext.ilevelc.DerivedConstraintsComputer
- createChildData(RowData, ClassesAttrType, int) - Method in class si.ijs.kt.clus.addon.hmc.HMCNodeWiseModels.hmcnwmodels.HMCNodeWiseModels
- createChildSchema(ClusSchema, ClassesAttrType, String) - Method in class si.ijs.kt.clus.addon.hmc.HMCNodeWiseModels.hmcnwmodels.HMCNodeWiseModels
- createClusAttrType(String, String) - Static method in class si.ijs.kt.clus.data.type.ClusAttrType
- createClusteringStat() - Method in class si.ijs.kt.clus.main.ClusStatManager
- createConstraints(RowData, int) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
- createConstraints(RowData, int) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- createConstraintsIndex() - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- createConstraintsIndex(int, ArrayList) - Static method in class si.ijs.kt.clus.ext.ilevelc.ILevelCUtil
- createConstrStat(ClusNode, ClusStatManager, RowData) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSyntacticConstraint
- createData() - Method in class si.ijs.kt.clus.algo.ClusInductionAlgorithm
- createData() - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveInduce
- createData() - Method in class si.ijs.kt.clus.ext.optxval.OptXValInduce
- createDataObject(String, ClusAttrType) - Static method in class si.ijs.kt.clus.data.type.ClusAttrType
- createDefaultError() - Method in class si.ijs.kt.clus.main.ClusStatManager
- createDistance(ClusAttrType, Settings) - Static method in class si.ijs.kt.clus.data.type.ClusAttrType
- createDSFWithMustLinks() - Method in class si.ijs.kt.clus.ext.ilevelc.DerivedConstraintsComputer
- createError(String) - Method in class si.ijs.kt.clus.model.io.ClusTreeReader
- createErrorMeasure(RowData, ClusAttributeWeights) - Method in class si.ijs.kt.clus.pruning.CartPruning
- createErrorMeasure(RowData, ClusAttributeWeights) - Method in class si.ijs.kt.clus.pruning.PruneTree
- createErrorMeasure(MultiScore) - Method in class si.ijs.kt.clus.main.ClusStatManager
- createEvalError() - Method in class si.ijs.kt.clus.main.ClusStatManager
- createExtraError(int) - Method in class si.ijs.kt.clus.main.ClusStatManager
- createExtraStats() - Method in class si.ijs.kt.clus.ext.optxval.OptXValIndOV
-
Deprecated.
- createFimp(ClusRun) - Method in class si.ijs.kt.clus.ext.featureRanking.ClusFeatureRanking
- createFimp(ClusRun, String, int, int) - Method in class si.ijs.kt.clus.ext.featureRanking.ClusFeatureRanking
- createFimp(ClusRun, String, int, int) - Method in class si.ijs.kt.clus.ext.featureRanking.ensemble.ClusEnsembleFeatureRankings
- createFirstPop() - Method in class si.ijs.kt.clus.util.tools.optimization.de.DEPopulation
- createFreqList(double, ClusStatistic[], int) - Method in class si.ijs.kt.clus.algo.split.NominalSplit
- createHash() - Method in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- createHeuristic(SettingsTree.Heuristic) - Method in class si.ijs.kt.clus.main.ClusStatManager
- createHierarchy() - Static method in class si.ijs.kt.clus.util.tools.hier.GenerateData
-
Deprecated.
- createIE(RowData) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- createInduce(ClusSchema, Settings, CMDLineArgs) - Method in class si.ijs.kt.clus.algo.ClusInductionAlgorithmType
- createInduce(ClusSchema, Settings, CMDLineArgs) - Method in class si.ijs.kt.clus.algo.kNN.KnnClassifier
- createInduce(ClusSchema, Settings, CMDLineArgs) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleClassifier
- createInduce(ClusSchema, Settings, CMDLineArgs) - Method in class si.ijs.kt.clus.algo.rules.tune.FIREROSTune
- createInduce(ClusSchema, Settings, CMDLineArgs) - Method in class si.ijs.kt.clus.algo.tdidt.ClusDecisionTree
- createInduce(ClusSchema, Settings, CMDLineArgs) - Method in class si.ijs.kt.clus.algo.tdidt.tune.CDTTuneFTest
- createInduce(ClusSchema, Settings, CMDLineArgs) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- createInduce(ClusSchema, Settings, CMDLineArgs) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleClassifier
- createInduce(ClusSchema, Settings, CMDLineArgs) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- createInduce(ClusSchema, Settings, CMDLineArgs) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.Relief
- createInduce(ClusSchema, Settings, CMDLineArgs) - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionTree
- createInduce(ClusSchema, Settings, CMDLineArgs) - Method in class si.ijs.kt.clus.ext.optxval.OptXVal
-
Deprecated.
- createInduce(ClusSchema, Settings, CMDLineArgs) - Method in class si.ijs.kt.clus.ext.semisupervised.ClusSemiSupervisedClassifier
- createInitHier(ClassTerm, int) - Static method in class si.ijs.kt.clus.util.tools.hier.GenerateData
-
Deprecated.
- createInitHierarchy() - Static method in class si.ijs.kt.clus.util.tools.hier.GenerateData
-
Deprecated.
- createInitialClusters(RowData, ArrayList) - Method in class si.ijs.kt.clus.ext.ilevelc.COPKMeans
- createInMemoryData() - Method in class si.ijs.kt.clus.data.rows.TupleIterator
- createInstance() - Method in class si.ijs.kt.clus.pruning.CartVisitor
- createInstance() - Method in class si.ijs.kt.clus.pruning.ErrorVisitor
- createLeaveOneOutXVAL(int) - Method in class si.ijs.kt.clus.selection.XValRandomSelection
- createLinTerm(int, int, double) - Static method in class si.ijs.kt.clus.algo.rules.ClusRuleLinearTerm
-
Return new linear term with weight
- createNormalView() - Method in class si.ijs.kt.clus.data.ClusSchema
- createNormalView(ClusView) - Method in class si.ijs.kt.clus.data.ClusSchema
- createPredefinedDoubles() - Static method in class si.ijs.kt.clus.data.type.primitive.SparseNumericAttrType
- createRandomizedOOBdata(OOBSelection, RowData, int, int, int) - Method in class si.ijs.kt.clus.ext.featureRanking.ClusFeatureRanking
-
Implements the Fisher-Yates algorithm for uniform shuffling.
- createRegularXVAL(int, int, Random) - Method in class si.ijs.kt.clus.selection.XValRandomSelection
- createRootNode(RowData, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.algo.tdidt.ConstraintDFInduce
- createRowSerializable() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- createRowSerializable() - Method in class si.ijs.kt.clus.data.type.complex.SetAttrType
- createRowSerializable() - Method in class si.ijs.kt.clus.data.type.complex.TupleAttrType
- createRowSerializable() - Method in class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrType
- createRowSerializable() - Method in class si.ijs.kt.clus.data.type.hierarchies.FlatClassesAttrType
- createRowSerializable() - Method in class si.ijs.kt.clus.data.type.primitive.IntegerAttrType
- createRowSerializable() - Method in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- createRowSerializable() - Method in class si.ijs.kt.clus.data.type.primitive.NumericAttrType
- createRowSerializable() - Method in class si.ijs.kt.clus.data.type.primitive.SparseNumericAttrType
- createRowSerializable() - Method in class si.ijs.kt.clus.data.type.primitive.StringAttrType
- createRowSerializable() - Method in class si.ijs.kt.clus.data.type.primitive.TimeSeriesAttrType
- createRowSerializable(RowData, boolean) - Method in class si.ijs.kt.clus.data.type.primitive.IndexAttrType
- createSearchDistance(ClusRun, SettingsKNN, AttributeWeighting) - Static method in class si.ijs.kt.clus.algo.kNN.KnnModel
- createSimpleHierarchy() - Static method in class si.ijs.kt.clus.util.tools.hier.GenerateData
-
Deprecated.
- createSimpleHierarchy(ClassTerm, int) - Static method in class si.ijs.kt.clus.util.tools.hier.GenerateData
-
Deprecated.
- createStatistic(ClusAttrType.AttributeUseType) - Method in class si.ijs.kt.clus.main.ClusStatManager
- createStats() - Method in class si.ijs.kt.clus.ext.optxval.OptXValInduce
- createStringParser(String) - Static method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- createSuitableStat(NumericAttrType[], NominalAttrType[]) - Method in class si.ijs.kt.clus.main.ClusStatManager
- createTargetAttr(ColTarget) - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- createTargetAttr(ColTarget) - Method in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- createTargetAttr(ColTarget) - Method in class si.ijs.kt.clus.data.type.primitive.NumericAttrType
- createTargetStat() - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageSingleClass
- createTargetStat() - Method in class si.ijs.kt.clus.main.ClusStatManager
- createTokenizer() - Static method in class si.ijs.kt.clus.model.io.ClusTreeReader
- createTotalClusteringStat(RowData) - Method in class si.ijs.kt.clus.algo.ClusInductionAlgorithm
- createTotalStat(RowData) - Method in class si.ijs.kt.clus.algo.tdidt.tune.CDTuneSizeConstrPruning
- createTotalTargetStat(RowData) - Method in class si.ijs.kt.clus.algo.ClusInductionAlgorithm
-
Compute the statistics for all the (rows in the) data.
- createTuneError(ClusStatManager) - Method in class si.ijs.kt.clus.algo.rules.tune.FIREROSTune
- createTuneError(ClusStatManager) - Method in class si.ijs.kt.clus.algo.tdidt.ClusSITDecisionTree
- createTuneError(ClusStatManager) - Method in class si.ijs.kt.clus.algo.tdidt.tune.CDTTuneFTest
- createTuple() - Method in class si.ijs.kt.clus.data.ClusSchema
- createTuple() - Method in class si.ijs.kt.clus.data.rows.RowData
- createValueByName(String, StringTable) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- CriterionBasedSelection - Class in si.ijs.kt.clus.selection
- CriterionBasedSelection() - Constructor for class si.ijs.kt.clus.selection.CriterionBasedSelection
- critical_f_0001 - Static variable in class si.ijs.kt.clus.util.FTest
- critical_f_0005 - Static variable in class si.ijs.kt.clus.util.FTest
- critical_f_001 - Static variable in class si.ijs.kt.clus.util.FTest
- critical_f_005 - Static variable in class si.ijs.kt.clus.util.FTest
- critical_f_01 - Static variable in class si.ijs.kt.clus.util.FTest
- CurrentBestTestAndHeuristic - Class in si.ijs.kt.clus.algo.split
- CurrentBestTestAndHeuristic(Settings) - Constructor for class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- cutTrees(ClusNode) - Static method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- CwithNeighbours - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMeasure
D
- DAG - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMLC.HierarchyType
- DAG - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMTR.HierarchyTypesHMTR
- DAG - Static variable in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- data - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamAttrSelector
- data - Variable in class si.ijs.kt.clus.heuristic.EncodingCost
- DataPreprocs - Class in si.ijs.kt.clus.data.rows
- DataPreprocs() - Constructor for class si.ijs.kt.clus.data.rows.DataPreprocs
- DataTuple - Class in si.ijs.kt.clus.data.rows
- DataTuple() - Constructor for class si.ijs.kt.clus.data.rows.DataTuple
- DataTuple(ClusSchema) - Constructor for class si.ijs.kt.clus.data.rows.DataTuple
-
Creates a dummy DataTuple of a given schema.
- DEAlgorithm - Class in si.ijs.kt.clus.util.tools.optimization.de
-
Differential evolution algorithm.
- DEAlgorithm(ClusStatManager, OptimizationProblem.OptimizationParameter, ClusRuleSet) - Constructor for class si.ijs.kt.clus.util.tools.optimization.de.DEAlgorithm
-
Constructor for classification and regression optimization.
- DEBUG - Static variable in class si.ijs.kt.clus.data.cols.attribute.NominalAttribute
- DEBUG - Variable in class si.ijs.kt.clus.data.cols.attribute.NumericAttribute
- DebugFile - Class in si.ijs.kt.clus.util
- DebugFile() - Constructor for class si.ijs.kt.clus.util.DebugFile
- DecisionList - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.RulePredictionMethod
- decomposeArrayStr(String) - Static method in class si.ijs.kt.clus.ext.featureRanking.Fimp
-
Converts, e.g., "[I, love, Clus]" to ["I", "love", "Clus"].
- deductFromBeamOpt(ClusBeam, ClusBeamModel, int) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModelDistance
- deepClone(T) - Method in class si.ijs.kt.clus.util.cloner.Cloner
-
deep clones "o".
- deepClone(T, Map<Object, Object>) - Method in interface si.ijs.kt.clus.util.cloner.IDeepCloner
-
deep clones o
- deepCloneData() - Method in class si.ijs.kt.clus.data.rows.RowData
- deepCloneDontCloneInstances(T, Object...) - Method in class si.ijs.kt.clus.util.cloner.Cloner
- deepCloneTuple() - Method in class si.ijs.kt.clus.data.rows.DataTuple
- deepCloneTuple() - Method in class si.ijs.kt.clus.data.rows.SparseDataTuple
- Default - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsOutput.ShowModels
- Default - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.Heuristic
- Default - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.PruningMethod
- DEFAULT - Static variable in class si.ijs.kt.clus.main.settings.SettingsBase
-
Simple constants *
- DEFAULT - Static variable in interface si.ijs.kt.clus.model.ClusModel
-
The type of model returned.
- DEFAULT_ERROR - Static variable in class si.ijs.kt.clus.error.common.ClusError
- DEFAULT_INTERNAL_FOLD - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- DEFAULT_MODEL_NAME_WITH_CONSTANT_WEIGHTS - Static variable in class si.ijs.kt.clus.algo.kNN.KnnClassifier
- DEFAULT_POSTFIX - Static variable in class si.ijs.kt.clus.error.common.ClusError
- DefaultModel - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.MissingTargetAttributeHandlingType
-
variance and mean (i.e., prediction) will be estimated on the basis of the root node (i.e., default model)
- deg2rad(double) - Method in class si.ijs.kt.clus.heuristic.GISHeuristic
- deg2rad(double) - Method in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristicCompatibility
- DEIndividual - Class in si.ijs.kt.clus.util.tools.optimization.de
-
Class representing a DE individual
- DEIndividual() - Constructor for class si.ijs.kt.clus.util.tools.optimization.de.DEIndividual
- delete(String) - Static method in class si.ijs.kt.clus.util.jeans.util.FileUtil
- deleteData() - Method in class si.ijs.kt.clus.main.ClusRun
- deleteDataAndModels() - Method in class si.ijs.kt.clus.main.ClusRun
- deleteElement() - Method in class si.ijs.kt.clus.util.jeans.util.list.MyListIter
- DeleteImplicitLinearTerms() - Static method in class si.ijs.kt.clus.algo.rules.ClusRuleLinearTerm
-
When the real linear terms are added to RuleSet, the implicit ones can be deleted
- DeleteImplicitLinearTerms() - Method in class si.ijs.kt.clus.util.tools.optimization.ImplicitLinearTerms
- deleteModel() - Method in class si.ijs.kt.clus.model.ClusModelInfo
- deleteModels() - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- DELIMS - Static variable in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- DELTA - Static variable in class si.ijs.kt.clus.heuristic.ClusHeuristic
- delta_u1 - Variable in class si.ijs.kt.clus.pruning.CartVisitor
- delta_u2 - Variable in class si.ijs.kt.clus.pruning.CartVisitor
- deltaHeur() - Static method in class si.ijs.kt.clus.main.ClusStat
- deltaSort() - Static method in class si.ijs.kt.clus.main.ClusStat
- deltaSplit() - Static method in class si.ijs.kt.clus.main.ClusStat
- deltaStat() - Static method in class si.ijs.kt.clus.main.ClusStat
- deltaTest() - Static method in class si.ijs.kt.clus.main.ClusStat
- DEPopulation - Class in si.ijs.kt.clus.util.tools.optimization.de
-
Class representing the population.
- DEPopulation(ClusStatManager, DEProblem) - Constructor for class si.ijs.kt.clus.util.tools.optimization.de.DEPopulation
- DEProblem - Class in si.ijs.kt.clus.util.tools.optimization.de
-
Class representing a Differential evolution optimization problem.
- DEProblem(ClusStatManager, OptimizationProblem.OptimizationParameter, ClusRuleSet) - Constructor for class si.ijs.kt.clus.util.tools.optimization.de.DEProblem
-
Constructor for problem to be solved with differential evolution.
- DEPTH_FIRST - Static variable in class si.ijs.kt.clus.algo.tdidt.ClusDecisionTree
- DepthFirst - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.InductionOrder
- DepthFirst_getDescriptiveAttributes - Enum constant in enum class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce.ParallelTrap
- DepthFirstInduce - Class in si.ijs.kt.clus.algo.tdidt
- DepthFirstInduce(ClusInductionAlgorithm) - Constructor for class si.ijs.kt.clus.algo.tdidt.DepthFirstInduce
- DepthFirstInduce(ClusInductionAlgorithm, NominalSplit) - Constructor for class si.ijs.kt.clus.algo.tdidt.DepthFirstInduce
- DepthFirstInduce(ClusInductionAlgorithm, ClusStatManager, boolean) - Constructor for class si.ijs.kt.clus.algo.tdidt.DepthFirstInduce
-
Used in parallelisation.
- DepthFirstInduce(ClusSchema, Settings) - Constructor for class si.ijs.kt.clus.algo.tdidt.DepthFirstInduce
- DepthFirstInduceSparse - Class in si.ijs.kt.clus.algo.tdidt
- DepthFirstInduceSparse(ClusInductionAlgorithm) - Constructor for class si.ijs.kt.clus.algo.tdidt.DepthFirstInduceSparse
- DepthFirstInduceSparse(ClusInductionAlgorithm, NominalSplit) - Constructor for class si.ijs.kt.clus.algo.tdidt.DepthFirstInduceSparse
- DepthFirstInduceSparse(ClusInductionAlgorithm, ClusStatManager, boolean) - Constructor for class si.ijs.kt.clus.algo.tdidt.DepthFirstInduceSparse
-
Used in parallelisation.
- DepthFirstInduceSparse(ClusSchema, Settings) - Constructor for class si.ijs.kt.clus.algo.tdidt.DepthFirstInduceSparse
- DepthFirstInduceWithOptions - Class in si.ijs.kt.clus.ext.optiontree
- DepthFirstInduceWithOptions(ClusSchema, Settings) - Constructor for class si.ijs.kt.clus.ext.optiontree.DepthFirstInduceWithOptions
- DerivedConstraintsComputer - Class in si.ijs.kt.clus.ext.ilevelc
- DerivedConstraintsComputer(ArrayList, ArrayList<ILevelConstraint>) - Constructor for class si.ijs.kt.clus.ext.ilevelc.DerivedConstraintsComputer
- Descriptive - Enum constant in enum class si.ijs.kt.clus.data.type.ClusAttrType.AttributeUseType
- Descriptive - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.RandomAttributeTypeSelection
- DESCRIPTIVE_SPACE - Static variable in class si.ijs.kt.clus.ext.featureRanking.relief.ClusReliefFeatureRanking
- DETAIL_ALWAYS_VISIBLE - Static variable in class si.ijs.kt.clus.error.common.ClusError
- DETAIL_NEVER_VISIBLE - Static variable in class si.ijs.kt.clus.error.common.ClusError
- DETAIL_SMALL - Static variable in class si.ijs.kt.clus.error.common.ClusError
- DETAIL_VERY_SMALL - Static variable in class si.ijs.kt.clus.error.common.ClusError
- determineBoostrapping() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
-
If bootstrapping is not defined, choose the appropriate default value for the selected ensemble method.
- devide2(XValGroup[], int, int, int) - Method in class si.ijs.kt.clus.selection.XValRandomSelection
-
Selects randomly the data for all the folds fold.
- df(double, double, double, double) - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
-
Computes approximate degrees of freedom for 2-sample t-test.
- DFS_BLACK - Static variable in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- DFS_GRAY - Static variable in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- DFS_WHITE - Static variable in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- DH - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMeasure
- diff(double, double) - Static method in class si.ijs.kt.clus.distance.primitive.timeseries.QDMTimeSeriesDist
- dirList(String) - Static method in class si.ijs.kt.clus.util.jeans.util.FileUtil
-
Return a list of all the files in a given (by name) Directory.
- dirList(String, String) - Static method in class si.ijs.kt.clus.util.jeans.util.FileUtil
-
Return a list of all the files in a given (by name) Directory, filtered by Extension.
- Disabled - Enum constant in enum class si.ijs.kt.clus.data.type.ClusAttrType.Status
- Disabled - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleROSAlgorithmType
-
ROS is disabled
- Disabled - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMTR.HierarchyTypesHMTR
- disableRuleInduceParams() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
For forest induction, disable rule parameters that interfere.
- DisjointSetForest - Class in si.ijs.kt.clus.util.jeans.util
- DisjointSetForest(int) - Constructor for class si.ijs.kt.clus.util.jeans.util.DisjointSetForest
- DiskTupleIterator - Class in si.ijs.kt.clus.data.rows
- DiskTupleIterator(String, ClusSchemaInitializer, DataPreprocs, Settings) - Constructor for class si.ijs.kt.clus.data.rows.DiskTupleIterator
- dispersion(int) - Method in class si.ijs.kt.clus.statistic.CombStat
-
Returns the dispersion over clustering or all attributes (nominal and numeric).
- DispersionAdt - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.Heuristic
- dispersionAdtHeur() - Method in class si.ijs.kt.clus.statistic.CombStat
-
Dispersion based heuristic - additive version Smaller values are better!
- dispersionCalc() - Method in class si.ijs.kt.clus.statistic.CombStat
-
Returns the dispersion of all attributes.
- DispersionMlt - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.Heuristic
- dispersionMltHeur() - Method in class si.ijs.kt.clus.statistic.CombStat
-
Dispersion based heuristic - multiplicative version Smaller values are better!
- dispersionNom(int) - Method in class si.ijs.kt.clus.statistic.CombStat
-
Returns the dispersion of nominal attributes.
- dispersionNum(int) - Method in class si.ijs.kt.clus.statistic.CombStat
-
Returns the dispersion of numeric attributes.
- Distance - Class in si.ijs.kt.clus.statistic
- DistanceB - Class in si.ijs.kt.clus.statistic
- DistanceClassic - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRelief.ReliefStatisticsType
- distanceName() - Method in class si.ijs.kt.clus.distance.primitive.relief.MultiLabelDistance
- DistanceSimplified - Class in si.ijs.kt.clus.ext.featureRanking.relief.statistics
- DistanceSimplified - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRelief.ReliefStatisticsType
- DistanceSimplified(ClusReliefFeatureRanking, int, int, int) - Constructor for class si.ijs.kt.clus.ext.featureRanking.relief.statistics.DistanceSimplified
- DistanceWeighting - Class in si.ijs.kt.clus.algo.kNN.distance.distanceWeighting
- DistanceWeighting(LinkedList<DataTuple>, SearchAlgorithm, DataTuple) - Constructor for class si.ijs.kt.clus.algo.kNN.distance.distanceWeighting.DistanceWeighting
-
Inicialize new distance weigthing schem for set of tuples, selected algorithm and interested tuple.
- Distribution - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsOutput.ShowInfo
- divide(double[], double[]) - Static method in class si.ijs.kt.clus.util.jeans.util.array.MDoubleArray
- divide(MNumber) - Method in class si.ijs.kt.clus.util.jeans.math.MNumber
- DNA - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsPhylogeny.PhylogenySequence
- doAdd(MNumber) - Method in class si.ijs.kt.clus.util.jeans.math.MDouble
- doAdd(MNumber) - Method in class si.ijs.kt.clus.util.jeans.math.MNumber
- doDivide(MNumber) - Method in class si.ijs.kt.clus.util.jeans.math.MDouble
- doDivide(MNumber) - Method in class si.ijs.kt.clus.util.jeans.math.MNumber
- doLoad(String, String, MStreamTokenizer) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileSection
- doLoad(String, MStreamTokenizer) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileSection
- doMultiply(MNumber) - Method in class si.ijs.kt.clus.util.jeans.math.MDouble
- doMultiply(MNumber) - Method in class si.ijs.kt.clus.util.jeans.math.MNumber
- done(int) - Method in class si.ijs.kt.clus.data.rows.DataPreprocs
- done(int) - Method in interface si.ijs.kt.clus.data.rows.TuplePreproc
- done(int) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchyPreproc
- dontClone(Class<?>...) - Method in class si.ijs.kt.clus.util.cloner.Cloner
-
instances of classes that shouldn't be cloned can be registered using this method.
- dontCloneInstanceOf(Class<?>...) - Method in class si.ijs.kt.clus.util.cloner.Cloner
- doOneClass(ClassTerm, ClusRun) - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageNodeWiseModels
- doOneFold(int, ClusInductionAlgorithmType, XValMainSelection, ClusModelCollectionIO, PredictionWriter, ClusOutput, ClusErrorOutput, ClusEnsemblePredictionWriter) - Method in class si.ijs.kt.clus.Clus
- doOneFold(RowData, RowData) - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesSignificantChangeTesterXVAL
- doOneNode(ClassTerm, ClassHierarchy, RowData, RowData, RowData) - Method in class si.ijs.kt.clus.addon.hmc.HMCNodeWiseModels.hmcnwmodels.HMCNodeWiseModels
- doParamXVal(ClusData, ClusData) - Method in class si.ijs.kt.clus.algo.tdidt.ClusSITDecisionTree
- doParamXVal(RowData, RowData) - Method in class si.ijs.kt.clus.algo.rules.tune.FIREROSTune
- doParamXVal(RowData, RowData) - Method in class si.ijs.kt.clus.algo.tdidt.tune.CDTTuneFTest
- doPrune(ClusNode) - Method in class si.ijs.kt.clus.pruning.EncodingCostPruning
- doRun() - Method in class si.ijs.kt.clus.addon.hmc.HMCNodeWiseModels.hmcnwmodels.HMCNodeWiseModels
- doSubstract(MNumber) - Method in class si.ijs.kt.clus.util.jeans.math.MDouble
- doSubstract(MNumber) - Method in class si.ijs.kt.clus.util.jeans.math.MNumber
- dot(double[], double[]) - Static method in class si.ijs.kt.clus.util.jeans.math.matrix.MMatrix
- dot(MySparseVector, double[]) - Static method in class si.ijs.kt.clus.util.jeans.math.matrix.MMatrix
- dot_delta(double[], double[], double[], double[]) - Static method in class si.ijs.kt.clus.util.jeans.math.matrix.MMatrix
- doTest(NodeTest, DataTuple) - Method in class si.ijs.kt.clus.addon.hmc.ClusAmandaRules.AmandaRule
- dotscalar(double[], double) - Static method in class si.ijs.kt.clus.util.jeans.util.array.MDoubleArray
- Double - Enum constant in enum class si.ijs.kt.clus.data.type.ClusAttrType.ValueType
- DOUBLE_CHARS - Static variable in class si.ijs.kt.clus.util.jeans.util.StringUtils
- DoubleBoolean - Class in si.ijs.kt.clus.util.jeans.util.compound
-
Parent class of the
DoubleBooleanCount
that stores statistics that are used when building ROC- and PR-curves. - DoubleBoolean(double, boolean) - Constructor for class si.ijs.kt.clus.util.jeans.util.compound.DoubleBoolean
-
See
DoubleBooleanCount.DoubleBooleanCount(double val, boolean bol)
. - DoubleBooleanCount - Class in si.ijs.kt.clus.util.jeans.util.compound
-
Class that stores prediction statistics that are used when building ROC- and PR-curves.
- DoubleBooleanCount(double, boolean) - Constructor for class si.ijs.kt.clus.util.jeans.util.compound.DoubleBooleanCount
-
Constructor for this type.
- DoubleBooleanCount(DoubleBooleanCount) - Constructor for class si.ijs.kt.clus.util.jeans.util.compound.DoubleBooleanCount
- DoubleIndexSorter - Class in si.ijs.kt.clus.util.jeans.util.sort
- DoubleIndexSorter() - Constructor for class si.ijs.kt.clus.util.jeans.util.sort.DoubleIndexSorter
- DoubleObject - Class in si.ijs.kt.clus.util.jeans.util.compound
- DoubleObject() - Constructor for class si.ijs.kt.clus.util.jeans.util.compound.DoubleObject
- DoubleObject(double, Object) - Constructor for class si.ijs.kt.clus.util.jeans.util.compound.DoubleObject
- DoubleRangeCheck - Class in si.ijs.kt.clus.util.jeans.io.range
- DoubleRangeCheck(double, double) - Constructor for class si.ijs.kt.clus.util.jeans.io.range.DoubleRangeCheck
- DOUBLES - Static variable in class si.ijs.kt.clus.data.type.primitive.SparseNumericAttrType
- DoublesPair - Class in si.ijs.kt.clus.ext.semisupervised.utils
-
Structure that contains two doubles
- DoublesPair(double, double) - Constructor for class si.ijs.kt.clus.ext.semisupervised.utils.DoublesPair
- dropStepSize(double) - Method in class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
-
In case of oscillation, make the step size shorter We should be changing the step size just enough not to prevent further oscillation
- DTW - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTimeSeries.TimeSeriesDistanceMeasure
- DTW - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.TimeSeriesDistanceMeasure
- DTWTimeSeriesDist - Class in si.ijs.kt.clus.distance.primitive.timeseries
- DTWTimeSeriesDist(TimeSeriesAttrType) - Constructor for class si.ijs.kt.clus.distance.primitive.timeseries.DTWTimeSeriesDist
- DUMMY_INSTANCES - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsKNN
- DUMMY_INSTANCES - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsRelief
- DUMMY_INT - Static variable in class si.ijs.kt.clus.data.rows.DataTuple
- DUMMY_TARGET - Static variable in class si.ijs.kt.clus.ext.featureRanking.relief.nearestNeighbour.SaveLoadNeighbours
- DummySerializable - Class in si.ijs.kt.clus.util.io
- DummySerializable() - Constructor for class si.ijs.kt.clus.util.io.DummySerializable
- DuoObject - Class in si.ijs.kt.clus.util.jeans.util.compound
- DuoObject(Object, Object) - Constructor for class si.ijs.kt.clus.util.jeans.util.compound.DuoObject
- DYNAMIC_WEIGHT - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- DynamicSubspaces - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleROSAlgorithmType
-
Similar to Random forest algorithm, this option selects a different subset of targets on every split.
E
- edblock - Variable in class si.ijs.kt.clus.util.jeans.util.MStringTokenizer
- Edit - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsPhylogeny.PhylogenyDistanceMeasure
- effcalculate(GeneticDistanceStat, GeneticDistanceStat, int[]) - Method in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- elementAt(int) - Method in class si.ijs.kt.clus.util.jeans.util.array.MyIntArray
- elementAt(int) - Method in class si.ijs.kt.clus.util.jeans.util.MyArray
- elements() - Method in class si.ijs.kt.clus.util.jeans.util.array.MyIntArray
- EMPTY - Static variable in class si.ijs.kt.clus.main.settings.SettingsBase
- EMPTY - Static variable in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- EMPTY_SET_INDICATOR - Static variable in class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- enableVerbose(int) - Method in class si.ijs.kt.clus.main.settings.section.SettingsGeneral
- EncodingCost - Class in si.ijs.kt.clus.heuristic
- EncodingCost - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.PruningMethod
- EncodingCost() - Constructor for class si.ijs.kt.clus.heuristic.EncodingCost
- EncodingCost(ArrayList<ClusNode>, ArrayList<RowData>, ClusAttrType[]) - Constructor for class si.ijs.kt.clus.heuristic.EncodingCost
- EncodingCost(ArrayList<RowData>, ClusAttrType[]) - Constructor for class si.ijs.kt.clus.heuristic.EncodingCost
- EncodingCostPruning - Class in si.ijs.kt.clus.pruning
- EncodingCostPruning() - Constructor for class si.ijs.kt.clus.pruning.EncodingCostPruning
- enforce(ClusNode, int) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSizeConstraints
- enoughNeighbours() - Method in class si.ijs.kt.clus.algo.kNN.methods.NNStack
- ensureAtEnd() - Method in class si.ijs.kt.clus.data.io.ClusReader
- ensureNextChar(int) - Method in class si.ijs.kt.clus.data.io.ClusReader
- ensureSparse() - Method in class si.ijs.kt.clus.data.ClusSchema
- enterBestTest(ClusNode, ClusNode, int[]) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- entropy() - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- entropy(int) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- entropy(int) - Method in class si.ijs.kt.clus.statistic.CombStat
-
Returns the entropy of attribute attr.
- entropy(ClusAttributeWeights) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- entropyDifference(ClassificationStat) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- entropyDifference(ClassificationStat, ClusAttributeWeights) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- entropyDifferenceROS(ClassificationStat, ClusAttributeWeights) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- entropyROS(ClusAttributeWeights) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- enumerateThresholds() - Method in class si.ijs.kt.clus.error.ROCAndPRCurve
- enumerateThresholdsAll() - Method in class si.ijs.kt.clus.error.ROCAndPRCurve
-
Computes points for PR- and ROC- curves that would be obtained if the threshold would go continuously from Infinity to 0.
- enumerateThresholdsSelected(double[]) - Method in class si.ijs.kt.clus.error.ROCAndPRCurve
- EnumerationGenerator - Class in si.ijs.kt.clus.util.jeans.util
-
A class that returns an Enumeration that returns only a subset of a given Enumeration using a certain filter.
- EnumerationGenerator() - Constructor for class si.ijs.kt.clus.util.jeans.util.EnumerationGenerator
- eq(double, double) - Static method in class si.ijs.kt.clus.util.ClusUtil
- eq(double, double, double) - Static method in class si.ijs.kt.clus.util.ClusUtil
- EQUAL - Static variable in interface si.ijs.kt.clus.util.jeans.util.sort.MComparator
- EquallyWeighted - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.RulePredictionMethod
-
Not yet implemented
- equals(Object) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
-
Equality is based on the tests only.
- equals(Object) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- equals(Object) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- equals(Object) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.nearestNeighbour.NearestNeighbour
- equals(Object) - Method in class si.ijs.kt.clus.util.jeans.util.compound.DoubleBoolean
- equals(Object) - Method in class si.ijs.kt.clus.util.UniqueNodeIdentifier
- equals(RowData) - Method in class si.ijs.kt.clus.data.rows.RowData
- equals(NodeTest) - Method in class si.ijs.kt.clus.model.test.ClusRuleConstraintInduceTest
- equals(NodeTest) - Method in class si.ijs.kt.clus.model.test.FakeTest
- equals(NodeTest) - Method in class si.ijs.kt.clus.model.test.NodeTest
-
Equality test
- equals(NodeTest) - Method in class si.ijs.kt.clus.model.test.NominalTest
- equals(NodeTest) - Method in class si.ijs.kt.clus.model.test.NumericTest
- equals(NodeTest) - Method in class si.ijs.kt.clus.model.test.SoftTest
- equals(NodeTest) - Method in class si.ijs.kt.clus.model.test.SubsetTest
- equalsDeeply(Object) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
-
Equality is based on the tests AND the targets.
- equalsPath(int[]) - Method in class si.ijs.kt.clus.util.jeans.tree.MyNode
- equalsTuple(ClassesTuple) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- equalsValue(ClassesValue) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- equalsValue(IndexedItem) - Method in class si.ijs.kt.clus.util.jeans.util.compound.IndexedItem
- EquvalentG - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMeasure
- EquvalentGDistance - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMeasure
- EquvalentI - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMeasure
- EquvalentIDistance - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMeasure
- EquvalentIwithNeighbours - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMeasure
- EquvalentPDistance - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMeasure
- error - Variable in class si.ijs.kt.clus.pruning.SizeConstraintVisitor
- ERROR - Static variable in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- ErrorOutput - Class in si.ijs.kt.clus.addon.sit
- ErrorOutput(Settings) - Constructor for class si.ijs.kt.clus.addon.sit.ErrorOutput
- ErrorVisitor - Class in si.ijs.kt.clus.pruning
- ErrorVisitor() - Constructor for class si.ijs.kt.clus.pruning.ErrorVisitor
- estimateBeamMeasure(ClusRule) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
- estimateBeamMeasure(ClusRule) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleInduce
- estimateBeamMeasure(ClusNode) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristic
- estimateBeamMeasure(ClusNode) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristicError
- estimateBeamMeasure(ClusNode) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristicMEstimate
- estimateBeamMeasure(ClusNode) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristicMorishita
- estimateBeamMeasure(ClusNode) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristicSS
- estimateBeamMeasure(ClusNode) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- estimateBeamMeasure(ClusNode) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- estimateBeamMeasure(ClusNode, ClusNode) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristicMorishita
- estimateBeamStats(ClusBeam) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- estimateBeamStats(ClusBeam) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- estimateClusteringSS(ClusAttributeWeights) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- estimateClusteringSSRecursive(ClusNode, ClusAttributeWeights) - Static method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- estimateClusteringVariance(ClusAttributeWeights) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- estimateError(ClusAttributeWeights) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- estimateErrorAbsolute(ClusAttributeWeights) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- estimateErrorRecursive(ClusNode) - Static method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- estimateErrorRecursive(ClusNode, ClusAttributeWeights) - Static method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- EstimateFromParentNode - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.MissingClusteringAttributeHandlingType
- EstimateFromTrainingSet - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.MissingClusteringAttributeHandlingType
- estimateRootScaledVariance(ClusNode, int, ClusAttributeWeights) - Static method in class si.ijs.kt.clus.pruning.M5PrunerMulti
- estimateScaledVariance(ClusNode, int, ClusAttributeWeights) - Static method in class si.ijs.kt.clus.pruning.M5PrunerMulti
- estimateTargetSS(ClusAttributeWeights) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- estimateTargetSSRecursive(ClusNode, ClusAttributeWeights) - Static method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- euclDistance(DataTuple) - Method in class si.ijs.kt.clus.data.rows.DataTuple
-
Calculates euclidean distance between numeric attributes of two tuples.
- Euclidean - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsKNN.Distance
- Euclidean - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SetDistance
- Euclidean - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMatrixType
- Euclidean - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.TupleDistance
- EuclideanDistance - Class in si.ijs.kt.clus.distance.complex.sets
- EuclideanDistance - Class in si.ijs.kt.clus.distance.complex.tuples
- EuclideanDistance - Class in si.ijs.kt.clus.distance.primitive
-
EuclideanDistance works on all type of attributes.
- EuclideanDistance(SetAttrType, ClusDistance) - Constructor for class si.ijs.kt.clus.distance.complex.sets.EuclideanDistance
- EuclideanDistance(TupleAttrType, ClusDistance[]) - Constructor for class si.ijs.kt.clus.distance.complex.tuples.EuclideanDistance
- EuclideanDistance(ClusDistance) - Constructor for class si.ijs.kt.clus.distance.complex.sets.EuclideanDistance
- EuclideanDistance(ClusDistance[]) - Constructor for class si.ijs.kt.clus.distance.complex.tuples.EuclideanDistance
- EuclideanDistance(SearchDistance, boolean, ClusAttrType[]) - Constructor for class si.ijs.kt.clus.distance.primitive.EuclideanDistance
- eval(TargetSet, ClusAttrType) - Method in class si.ijs.kt.clus.addon.sit.searchAlgorithm.SearchAlgorithmImpl
- evaluate(IChromosome) - Method in class si.ijs.kt.clus.addon.sit.searchAlgorithm.SITFitnessFunction
- evaluate(DEProblem, int) - Method in class si.ijs.kt.clus.util.tools.optimization.de.DEIndividual
-
Re-evaluates this individuals fitness with the problems fitness function.
- evaluateModelAndUpdateErrors(int, int, ClusModel, ClusRun) - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageSingleClass
- evaluatePop(int) - Method in class si.ijs.kt.clus.util.tools.optimization.de.DEPopulation
-
Evaluate population fitness with the population's function.
- Evaluator - Class in si.ijs.kt.clus.addon.sit
-
Functions to evaluate predictions
- Evaluator() - Constructor for class si.ijs.kt.clus.addon.sit.Evaluator
- Exact - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SplitPositions
- EXACT_TIME - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsGeneric
- exampleDone() - Method in class si.ijs.kt.clus.model.processor.ClusModelProcessor
- exampleDone() - Method in class si.ijs.kt.clus.model.processor.ModelProcessorCollection
- exampleDone() - Method in class si.ijs.kt.clus.model.processor.PredictionWriter
- exampleUpdate(DataTuple) - Method in class si.ijs.kt.clus.model.processor.ClusModelProcessor
- exampleUpdate(DataTuple) - Method in class si.ijs.kt.clus.model.processor.ModelProcessorCollection
- exampleUpdate(DataTuple) - Method in class si.ijs.kt.clus.model.processor.PredictionWriter
- exampleUpdate(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.model.processor.ClusModelProcessor
- exampleUpdate(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.model.processor.ModelProcessorCollection
- exampleUpdate(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.model.processor.PredictionWriter
- execute(Object) - Method in interface si.ijs.kt.clus.util.jeans.util.Executer
- Executer - Interface in si.ijs.kt.clus.util.jeans.util
- executeRecursive(ClusNode, WHTDStatistic, RowData) - Method in class si.ijs.kt.clus.ext.hierarchical.HierRemoveInsigClasses
- exhaustiveRun(ClusInductionAlgorithmType) - Method in class si.ijs.kt.clus.Clus
- exhaustiveSearch(ClusRun) - Method in class si.ijs.kt.clus.algo.tdidt.ClusSITDecisionTree
- exhaustiveSearch(ClusRun) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveDFSearch
- exhaustiveSearch(ClusRun) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- ExhaustiveSearch - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLUnlabeledCriteria
-
ExhaustiveSearch - the optimal threshold will be selected from the specified list at each iteration
- existsOOBtuple(DataTuple) - Method in class si.ijs.kt.clus.ext.ensemble.ClusOOBErrorEstimate
- exit() - Static method in class si.ijs.kt.clus.util.DebugFile
- ExpAvgParentWeight - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMLC.HierarchyWeight
- ExpMaxParentWeight - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMLC.HierarchyWeight
- ExpMinParentWeight - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMLC.HierarchyWeight
- ExpSumParentWeight - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMLC.HierarchyWeight
- EXT - Static variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCHeurStat
- ExtensionFilter - Class in si.ijs.kt.clus.util.jeans.util
-
A Filter Class to filter Files by Extension.
- ExtensionFilter(String) - Constructor for class si.ijs.kt.clus.util.jeans.util.ExtensionFilter
-
Construct a new Extension Filter.
- ExtraTrees - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleMethod
F
- F1Score - Class in si.ijs.kt.clus.error.sets
- F1Score(ClusErrorList, SetAttrType[], ClusAttributeWeights, boolean, ClusDistance) - Constructor for class si.ijs.kt.clus.error.sets.F1Score
- F1Score(ClusErrorList, SetAttrType[], ClusAttributeWeights, ClusDistance) - Constructor for class si.ijs.kt.clus.error.sets.F1Score
- F1Score(ClusErrorList, SetAttrType[], ClusDistance) - Constructor for class si.ijs.kt.clus.error.sets.F1Score
- fac - Variable in class si.ijs.kt.clus.distance.hierarchies.HierWeightSPath
- FakeTest - Class in si.ijs.kt.clus.model.test
- FakeTest() - Constructor for class si.ijs.kt.clus.model.test.FakeTest
- fastClone(Object, Map<Object, Object>) - Method in class si.ijs.kt.clus.util.cloner.Cloner
- fastCloneOrNewInstance(Class<T>) - Method in class si.ijs.kt.clus.util.cloner.Cloner
- FastClonerArrayList - Class in si.ijs.kt.clus.util.cloner
- FastClonerArrayList() - Constructor for class si.ijs.kt.clus.util.cloner.FastClonerArrayList
- FastClonerCalendar - Class in si.ijs.kt.clus.util.cloner
- FastClonerCalendar() - Constructor for class si.ijs.kt.clus.util.cloner.FastClonerCalendar
- FastClonerConcurrentHashMap - Class in si.ijs.kt.clus.util.cloner
- FastClonerConcurrentHashMap() - Constructor for class si.ijs.kt.clus.util.cloner.FastClonerConcurrentHashMap
- FastClonerCustomCollection<T extends Collection> - Class in si.ijs.kt.clus.util.cloner
- FastClonerCustomCollection() - Constructor for class si.ijs.kt.clus.util.cloner.FastClonerCustomCollection
- FastClonerCustomMap<T extends Map> - Class in si.ijs.kt.clus.util.cloner
- FastClonerCustomMap() - Constructor for class si.ijs.kt.clus.util.cloner.FastClonerCustomMap
- FastClonerHashMap - Class in si.ijs.kt.clus.util.cloner
- FastClonerHashMap() - Constructor for class si.ijs.kt.clus.util.cloner.FastClonerHashMap
- FastClonerHashSet - Class in si.ijs.kt.clus.util.cloner
- FastClonerHashSet() - Constructor for class si.ijs.kt.clus.util.cloner.FastClonerHashSet
- FastClonerLinkedHashMap - Class in si.ijs.kt.clus.util.cloner
- FastClonerLinkedHashMap() - Constructor for class si.ijs.kt.clus.util.cloner.FastClonerLinkedHashMap
- FastClonerLinkedList - Class in si.ijs.kt.clus.util.cloner
- FastClonerLinkedList() - Constructor for class si.ijs.kt.clus.util.cloner.FastClonerLinkedList
- FastClonerTreeMap - Class in si.ijs.kt.clus.util.cloner
- FastClonerTreeMap() - Constructor for class si.ijs.kt.clus.util.cloner.FastClonerTreeMap
- fileExists(String) - Static method in class si.ijs.kt.clus.util.jeans.util.FileUtil
- filename - Variable in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- fileName(String) - Static method in class si.ijs.kt.clus.util.ClusUtil
-
From "a/b/c/d" or "a\\b\\c\\d" or "d" extracts d.
- FileTupleIterator - Class in si.ijs.kt.clus.data.rows
- FileTupleIterator(ClusSchema, ClusReader) - Constructor for class si.ijs.kt.clus.data.rows.FileTupleIterator
- FileTupleIterator(ClusSchema, ClusReader, DataPreprocs) - Constructor for class si.ijs.kt.clus.data.rows.FileTupleIterator
- FileTupleIterator(DataPreprocs) - Constructor for class si.ijs.kt.clus.data.rows.FileTupleIterator
- FileUtil - Class in si.ijs.kt.clus.util.jeans.util
-
A Helper Class for working with Files on the Persistent Storage.
- FileUtil() - Constructor for class si.ijs.kt.clus.util.jeans.util.FileUtil
- fillArray(int[], int) - Static method in class si.ijs.kt.clus.util.jeans.util.array.MIntArray
- fillBeamWithPredictions(ClusBeam) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModelDistance
- fillBoolArrayNodeAndAncestors(boolean[]) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- fillBoolArrayNodeAndAncestors(boolean[]) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- fillBooleanMatrixMaj(double[], boolean[], double) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- fillInInduce(ClusRun, ClusNode, MultiScore) - Method in class si.ijs.kt.clus.algo.tdidt.ConstraintDFInduce
- fillInInTree(RowData, ClusNode, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.algo.tdidt.ConstraintDFInduce
- fillInStatsAndTests(ClusNode, RowData) - Method in class si.ijs.kt.clus.algo.tdidt.ConstraintDFInduce
- fillVectorNodeAndAncestors(double[]) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- filterAlternativeSplits(ClusNode, RowData, RowData[]) - Method in class si.ijs.kt.clus.algo.tdidt.DepthFirstInduce
- filterAlternativeSplits(ClusNode, RowData, RowData[]) - Method in class si.ijs.kt.clus.ext.bestfirst.BestFirstInduce
- Fimp - Class in si.ijs.kt.clus.ext.featureRanking
- Fimp(String) - Constructor for class si.ijs.kt.clus.ext.featureRanking.Fimp
- Fimp(ArrayList<String>, Quadruple<String, String, String[], String[]>, ArrayList<Quadruple<Integer, String, int[], double[]>>) - Constructor for class si.ijs.kt.clus.ext.featureRanking.Fimp
- FIMP_RELEVANCES_SIGNIFICANT_PLACES - Static variable in class si.ijs.kt.clus.ext.featureRanking.ClusFeatureRanking
- FIMP_SEPARATOR - Static variable in class si.ijs.kt.clus.ext.featureRanking.ClusFeatureRanking
-
Separator that separates different blocks of columns in fimp file.
- fimpTableHeader(CharSequence...) - Method in class si.ijs.kt.clus.ext.featureRanking.ClusFeatureRanking
- fimpTableHeader(Iterable<? extends CharSequence>) - Method in class si.ijs.kt.clus.ext.featureRanking.ClusFeatureRanking
- fimpTableRow(String, int[], double[]) - Method in class si.ijs.kt.clus.ext.featureRanking.ClusFeatureRanking
-
Produces a fimp table row of the form datasetIndex of the attribute, attribute name, ranks, relevances
- find(DataTuple) - Method in class si.ijs.kt.clus.algo.kNN.methods.kdTree.KDNode
-
Find k (tree.getK) nearest neighbors for specified tuple.
- findAttrType(String, boolean) - Method in class si.ijs.kt.clus.model.io.ClusTreeReader
- findBestFTest(RowData, RowData) - Method in class si.ijs.kt.clus.algo.tdidt.tune.CDTTuneFTest
- findBestROSParameters(RowData, RowData) - Method in class si.ijs.kt.clus.algo.rules.tune.FIREROSTune
- findBestSize(ClusData) - Method in class si.ijs.kt.clus.algo.tdidt.tune.CDTuneSizeConstrPruning
- findBestSupportTasks(ClusData, ClusData) - Method in class si.ijs.kt.clus.algo.tdidt.ClusSITDecisionTree
- findBestTest(OptXValGroup) - Method in class si.ijs.kt.clus.ext.optxval.OptXValInduce
- findBestTest(MyArray, ColTarget, ClusStatManager) - Method in class si.ijs.kt.clus.data.cols.attribute.ClusAttribute
- findBestTest(MyArray, ColTarget, ClusStatManager) - Method in class si.ijs.kt.clus.data.cols.attribute.NominalAttribute
- findBestTest(MyArray, ColTarget, ClusStatManager) - Method in class si.ijs.kt.clus.data.cols.attribute.NumericAttribute
- FindBestTest - Class in si.ijs.kt.clus.algo.split
- FindBestTest(ClusStatManager) - Constructor for class si.ijs.kt.clus.algo.split.FindBestTest
- FindBestTest(ClusStatManager, NominalSplit) - Constructor for class si.ijs.kt.clus.algo.split.FindBestTest
- findBestTestOV(OptXValGroup) - Method in class si.ijs.kt.clus.ext.optxval.OptXValIndOV
-
Deprecated.
- FindBestTestRules - Class in si.ijs.kt.clus.algo.rules
- FindBestTestRules(ClusStatManager) - Constructor for class si.ijs.kt.clus.algo.rules.FindBestTestRules
- FindBestTestRules(ClusStatManager, NominalSplit) - Constructor for class si.ijs.kt.clus.algo.rules.FindBestTestRules
- FindBestTests - Class in si.ijs.kt.clus.ext.optiontree
- FindBestTests(ClusStatManager) - Constructor for class si.ijs.kt.clus.ext.optiontree.FindBestTests
- FindBestTests(ClusStatManager, NominalSplit) - Constructor for class si.ijs.kt.clus.ext.optiontree.FindBestTests
- FindBestTests.HeuristicComparator - Class in si.ijs.kt.clus.ext.optiontree
- findCycle() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- findCycleRecursive(ClassTerm, char[], ClassTerm[], boolean[]) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- findDistanceToFirstNotUnlabeledNeighbour(int) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ClusReliefFeatureRanking
- findExtraTreeSplit(CurrentBestTestAndHeuristic, NominalAttrType, Random) - Method in class si.ijs.kt.clus.algo.split.NArySplit
- findExtraTreeSplit(CurrentBestTestAndHeuristic, NominalAttrType, Random) - Method in class si.ijs.kt.clus.algo.split.NominalSplit
- findExtraTreeSplit(CurrentBestTestAndHeuristic, NominalAttrType, Random) - Method in class si.ijs.kt.clus.algo.split.SubsetSplit
- findNearestNeighbours(int, int) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ClusReliefFeatureRanking
-
Deprecated.
- findNearestNeighbours(int, ArrayList<Integer>) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ClusReliefFeatureRanking
- FindNeighboursCallable - Class in si.ijs.kt.clus.ext.featureRanking.relief.nearestNeighbour
- FindNeighboursCallable(ClusReliefFeatureRanking, int, ArrayList<Integer>) - Constructor for class si.ijs.kt.clus.ext.featureRanking.relief.nearestNeighbour.FindNeighboursCallable
- findNominal(NominalAttrType, RowData) - Method in class si.ijs.kt.clus.algo.rules.FindBestTestRules
-
Generate nominal split value and rule (and inverse '<=') for that.
- findNominal(NominalAttrType, RowData, ArrayList<ILevelConstraint>) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
- findNominal(NominalAttrType, RowData, ClusRandomNonstatic) - Method in class si.ijs.kt.clus.algo.split.FindBestTest
- findNominal(NominalAttrType, OptXValGroup) - Method in class si.ijs.kt.clus.ext.optxval.OptXValInduce
- findNominalExtraTree(NominalAttrType, RowData, ClusRandomNonstatic) - Method in class si.ijs.kt.clus.algo.split.FindBestTest
- findNominalOV(NominalAttrType, OptXValGroup) - Method in class si.ijs.kt.clus.ext.optxval.OptXValIndOV
-
Deprecated.
- findNominalRandom(NominalAttrType, RowData, Random) - Method in class si.ijs.kt.clus.algo.rules.FindBestTestRules
-
Randomly generates nominal split
- findNumeric(NumericAttrType, RowData) - Method in class si.ijs.kt.clus.algo.rules.FindBestTestRules
-
Generate numeric split value and rule (and inverse '<=') for that.
- findNumeric(NumericAttrType, RowData, ArrayList<ILevelConstraint>, ClusRule, int) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
- findNumeric(NumericAttrType, RowData, ClusRandomNonstatic) - Method in class si.ijs.kt.clus.algo.split.FindBestTest
- findNumeric(NumericAttrType, OptXValGroup) - Method in class si.ijs.kt.clus.ext.optxval.OptXValInduce
- findNumericConstraints(NumericAttrType, ClusNode, boolean, double, int, int, int[]) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- findNumericExtraTree(NumericAttrType, RowData, ClusRandomNonstatic) - Method in class si.ijs.kt.clus.algo.split.FindBestTest
- findNumericOV(NumericAttrType, OptXValGroup) - Method in class si.ijs.kt.clus.ext.optxval.OptXValIndOV
-
Deprecated.
- findNumericRandom(NumericAttrType, RowData, RowData, Random) - Method in class si.ijs.kt.clus.algo.rules.FindBestTestRules
-
Randomly generates numeric split value.
- findOptimalSize(ArrayList<SingleStatList>, boolean) - Method in class si.ijs.kt.clus.algo.tdidt.tune.CDTuneSizeConstrPruning
- findRandomPertSplit(CurrentBestTestAndHeuristic, NominalAttrType, Random, int, int) - Method in class si.ijs.kt.clus.algo.split.SubsetSplit
- findRandomSplit(CurrentBestTestAndHeuristic, NominalAttrType, Random) - Method in class si.ijs.kt.clus.algo.split.NArySplit
- findRandomSplit(CurrentBestTestAndHeuristic, NominalAttrType, Random) - Method in class si.ijs.kt.clus.algo.split.NominalSplit
- findRandomSplit(CurrentBestTestAndHeuristic, NominalAttrType, Random) - Method in class si.ijs.kt.clus.algo.split.SubsetSplit
- findSet(int) - Method in class si.ijs.kt.clus.util.jeans.util.DisjointSetForest
- findSplit(CurrentBestTestAndHeuristic, NominalAttrType) - Method in class si.ijs.kt.clus.algo.split.NArySplit
- findSplit(CurrentBestTestAndHeuristic, NominalAttrType) - Method in class si.ijs.kt.clus.algo.split.NominalSplit
- findSplit(CurrentBestTestAndHeuristic, NominalAttrType) - Method in class si.ijs.kt.clus.algo.split.SubsetSplit
- findSplit(MyArray, ClusStatManager) - Method in class si.ijs.kt.clus.data.cols.attribute.NominalAttribute
- findTupleByKey(String) - Method in class si.ijs.kt.clus.data.rows.RowData
- fine() - Static method in class si.ijs.kt.clus.util.ClusLogger
- fine(String) - Static method in class si.ijs.kt.clus.util.ClusLogger
- finer(String) - Static method in class si.ijs.kt.clus.util.ClusLogger
- FIREROSTune - Class in si.ijs.kt.clus.algo.rules.tune
- FIREROSTune(ClusInductionAlgorithmType) - Constructor for class si.ijs.kt.clus.algo.rules.tune.FIREROSTune
- FIREROSTune(ClusInductionAlgorithmType, String[]) - Constructor for class si.ijs.kt.clus.algo.rules.tune.FIREROSTune
- FixedSubspaces - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleROSAlgorithmType
-
Algorithm generates fixed subspaces before learning and uses them.
- FlatClassesAttrType - Class in si.ijs.kt.clus.data.type.hierarchies
- FlatClassesAttrType(String, ClassesAttrType) - Constructor for class si.ijs.kt.clus.data.type.hierarchies.FlatClassesAttrType
- FlatClassesAttrType.MySerializable - Class in si.ijs.kt.clus.data.type.hierarchies
- FLOAT - Static variable in class si.ijs.kt.clus.util.jeans.util.MSStringTokenizer
- flushWriter() - Method in class si.ijs.kt.clus.model.processor.ClusModelProcessor
- flushWriter() - Method in class si.ijs.kt.clus.model.processor.ModelProcessorCollection
- flushWriter() - Method in class si.ijs.kt.clus.model.processor.PredictionWriter
- foldSetIntersects(DataTuple, int[]) - Method in class si.ijs.kt.clus.ext.optxval.SoftNumericTest
- foldSetIntersects2(DataTuple, int[]) - Method in class si.ijs.kt.clus.ext.optxval.SoftNumericTest
- For(Iterable<T>, Parallel.Operation<T>) - Static method in class si.ijs.kt.clus.algo.rules.probabilistic.Parallel
- format(double) - Method in class si.ijs.kt.clus.util.format.ClusNumberFormat
- format(int) - Method in class si.ijs.kt.clus.util.format.ClusNumberFormat
- format(long) - Method in class si.ijs.kt.clus.util.format.ClusNumberFormat
- formatInvalid(INIFileEntry, Object) - Static method in class si.ijs.kt.clus.main.settings.SettingsBase
-
Convenience method for denoting illegal settings
- formatInvalid(INIFileEntry, Object, String) - Static method in class si.ijs.kt.clus.main.settings.SettingsBase
-
Convenience method for denoting illegal settings
- FOUR_AFTER_DOT - Static variable in class si.ijs.kt.clus.util.format.ClusFormat
- FOUR_ONES - Static variable in class si.ijs.kt.clus.main.settings.SettingsBase
- freeLabel(ClusNode, int) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- fromArray(double[]) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileArray
- fromArray(int[]) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileArray
- fromArray(String[]) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileArray
- fromPath(int[], int) - Method in class si.ijs.kt.clus.util.jeans.tree.MyNode
- ftest(int, double, double, int) - Static method in class si.ijs.kt.clus.util.FTest
- FTest - Class in si.ijs.kt.clus.util
- FTest() - Constructor for class si.ijs.kt.clus.util.FTest
- FTEST_LEVEL - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsTree
- FTEST_LIMIT - Static variable in class si.ijs.kt.clus.util.FTest
- FTEST_SIG - Static variable in class si.ijs.kt.clus.util.FTest
- FTEST_VALUE - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsTree
- FTEST_VALUE - Static variable in class si.ijs.kt.clus.util.FTest
- fullGradientComputation(ArrayList<Double>) - Method in class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
-
Compute the gradients for weights from scratch
- Function - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsOutput.PythonModelType
- functionGamma(double) - Method in class si.ijs.kt.clus.heuristic.EncodingCost
- functionLogZ(double[]) - Method in class si.ijs.kt.clus.heuristic.EncodingCost
- functionZ(double[], int, int) - Method in class si.ijs.kt.clus.heuristic.EncodingCost
- functionZAlternative(double[]) - Method in class si.ijs.kt.clus.heuristic.EncodingCost
G
- Gain - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.Heuristic
- GainHeuristic - Class in si.ijs.kt.clus.heuristic
- GainHeuristic(boolean, ClusAttributeWeights, Settings) - Constructor for class si.ijs.kt.clus.heuristic.GainHeuristic
- GainRatio - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.Heuristic
- Garofalakis - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.PruningMethod
- GarofalakisVSB - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.PruningMethod
- Gaussian - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMatrixType
- GDAlgorithm - Class in si.ijs.kt.clus.util.tools.optimization.gd
-
Class for gradient descent optimization.
- GDAlgorithm(ClusStatManager, OptimizationProblem.OptimizationParameter, ClusRuleSet) - Constructor for class si.ijs.kt.clus.util.tools.optimization.gd.GDAlgorithm
-
Constructor for classification and regression optimization.
- GDOptimized - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.RulePredictionMethod
-
Gradient descent optimization of rule weights
- GDOptimizedBinary - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.RulePredictionMethod
-
Use external binary file for gradient descent optimization of rule weights
- GDProblem - Class in si.ijs.kt.clus.util.tools.optimization.gd
-
Class representing a gradient descent optimization problem.
- GDProblem(ClusStatManager, OptimizationProblem.OptimizationParameter, ClusRuleSet) - Constructor for class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
-
Constructor for problem to be solved with gradient descent.
- General - Enum constant in enum class si.ijs.kt.clus.Clus.DebugType
- GeneralException - Exception Class in si.ijs.kt.clus.util.jeans.util
- GeneralException(String) - Constructor for exception class si.ijs.kt.clus.util.jeans.util.GeneralException
- generateAndSetClusterIDs(ArrayList<ClusNode>) - Method in class si.ijs.kt.clus.heuristic.EncodingCost
- GenerateData - Class in si.ijs.kt.clus.util.tools.hier
-
Deprecated.
- GenerateData() - Constructor for class si.ijs.kt.clus.util.tools.hier.GenerateData
-
Deprecated.
- generateElement() - Method in class si.ijs.kt.clus.util.jeans.util.EnumerationGenerator
- generateMatrix(RowData) - Method in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristicCompatibility
- generateMatrix(RowData, Integer[]) - Method in class si.ijs.kt.clus.heuristic.GISHeuristic
- generateSubspace(ClusSchema, int, SettingsEnsemble.EnsembleROSAlgorithmType, int) - Static method in class si.ijs.kt.clus.ext.ensemble.ros.ClusROSHelpers
- GeneticDistance - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.Heuristic
- GeneticDistanceHeuristic - Class in si.ijs.kt.clus.heuristic
- GeneticDistanceHeuristic(Settings) - Constructor for class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristic
- GeneticDistanceHeuristicMatrix - Class in si.ijs.kt.clus.heuristic
- GeneticDistanceHeuristicMatrix(Settings) - Constructor for class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- GeneticDistanceStat - Class in si.ijs.kt.clus.statistic
- GeneticDistanceStat(Settings, NominalAttrType[]) - Constructor for class si.ijs.kt.clus.statistic.GeneticDistanceStat
-
Constructor for this class.
- GeneticSearch - Class in si.ijs.kt.clus.addon.sit.searchAlgorithm
- GeneticSearch() - Constructor for class si.ijs.kt.clus.addon.sit.searchAlgorithm.GeneticSearch
- Genie3 - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleRanking
- get(int) - Method in class si.ijs.kt.clus.error.BinaryPredictionList
- get(int, int) - Method in class si.ijs.kt.clus.util.jeans.math.matrix.MMatrix
- get(int, int) - Method in class si.ijs.kt.clus.util.jeans.math.matrix.MSymMatrix
- get(String) - Method in class si.ijs.kt.clus.ext.constraint.ClusConstraintFile
- get(String) - Method in class si.ijs.kt.clus.util.jeans.util.array.StringTable
- get_accuracy() - Method in class si.ijs.kt.clus.error.common.ClusError
- get_accuracy() - Method in class si.ijs.kt.clus.error.ContingencyTable
- get_auc() - Method in class si.ijs.kt.clus.error.common.ClusError
- get_auc() - Method in class si.ijs.kt.clus.error.ContingencyTable
- get_error_classif() - Method in class si.ijs.kt.clus.error.common.ClusError
- get_error_classif() - Method in class si.ijs.kt.clus.error.ContingencyTable
- get_fast(int, int) - Method in class si.ijs.kt.clus.util.jeans.math.matrix.MSymMatrix
- get_itemsetcpt() - Static method in class si.ijs.kt.clus.main.Global
- get_precision() - Method in class si.ijs.kt.clus.error.common.ClusError
- get_precision() - Method in class si.ijs.kt.clus.error.ContingencyTable
- get_recall() - Method in class si.ijs.kt.clus.error.common.ClusError
- get_recall() - Method in class si.ijs.kt.clus.error.ContingencyTable
- get_TP() - Method in class si.ijs.kt.clus.error.ContingencyTable
- get_treecpt() - Static method in class si.ijs.kt.clus.main.Global
- get1SERule() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- getAbsoluteDistance(DataTuple, ClusAttributeWeights) - Method in class si.ijs.kt.clus.ext.structuredTypes.SetStatistic
- getAbsoluteDistance(DataTuple, ClusAttributeWeights) - Method in class si.ijs.kt.clus.ext.structuredTypes.TupleStatistic
- getAbsoluteDistance(DataTuple, ClusAttributeWeights) - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesStat
- getAbsoluteDistance(DataTuple, ClusAttributeWeights) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getAbsoluteDistance(DataTuple, ClusAttributeWeights, ClusStatManager) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- getAbundance() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- getAccuracy() - Method in class si.ijs.kt.clus.error.hmlc.HierLevelAccuracy
- getAccuracy(int) - Method in class si.ijs.kt.clus.error.Accuracy
- getAdditionalInfo() - Method in class si.ijs.kt.clus.error.common.ClusError
- getAdditionalInfoFormatted() - Method in class si.ijs.kt.clus.error.common.ClusError
- getAdditiveError() - Method in class si.ijs.kt.clus.pruning.SizeConstraintPruning
- getAddModelProcessors(int) - Method in class si.ijs.kt.clus.model.ClusModelInfo
- getAirbagTrails() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- getAllAncestors(boolean) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
-
Returns all non-root parents of the given term.
- getAllAttrUse(ClusAttrType.AttributeUseType) - Method in class si.ijs.kt.clus.data.ClusSchema
- getAllModelsMI() - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- getAllParentChildTuples() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- getAllPaths() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- getAllValues() - Method in class si.ijs.kt.clus.util.jeans.io.range.NominalType
- getAlternativeBest() - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- getAlternatives() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- getAminoKimuraDistance(String[], String[]) - Method in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristic
- getAnObject() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamTreeElem
- getAnObject() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamTreeElemOld
- getAppName() - Method in class si.ijs.kt.clus.Clus
- getAppName() - Method in class si.ijs.kt.clus.main.settings.section.SettingsGeneric
- getAppNameWithSuffix() - Method in class si.ijs.kt.clus.main.settings.section.SettingsGeneric
- getAppropriateWeight(ClusRule) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- getAreaPR() - Method in class si.ijs.kt.clus.error.ROCAndPRCurve
- getAreaROC() - Method in class si.ijs.kt.clus.error.ROCAndPRCurve
- getArray() - Method in class si.ijs.kt.clus.util.jeans.util.array.MIntArray
- getArrayIndex() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- getArrayIndexNamesString() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- getArrayOfDoubles(String) - Static method in class si.ijs.kt.clus.ext.featureRanking.Fimp
-
Converts, e.g., "[1.1, 2.1, 3.2]" to [1.1, 2.1, 3.2].
- getArrayOfInts(String) - Static method in class si.ijs.kt.clus.ext.featureRanking.Fimp
-
Converts, e.g., "[1, 2, 3]" to [1, 2, 3].
- getArrayOfSecond(DoublesPair[]) - Static method in class si.ijs.kt.clus.ext.semisupervised.Helper
-
Return array containing just the second values of the DoublePairs array
- getArrayOfStatistic() - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreStat
- getArrayOfStatistic() - Method in class si.ijs.kt.clus.statistic.BitVectorStat
- getArrayOfStatistic() - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getArrayOfStatistic() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getArrayOfStatistic() - Method in class si.ijs.kt.clus.statistic.CombStat
- getArrayOfStatistic() - Method in class si.ijs.kt.clus.statistic.CombStatClassRegHier
- getArrayOfStatistic() - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- getArrayOfStatisticExtended() - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- getArrayOfStatisticExtended(boolean) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getAttr() - Method in class si.ijs.kt.clus.data.ClusSchema
- getAttr(int) - Method in class si.ijs.kt.clus.error.common.ClusNominalError
- getAttr(int) - Method in class si.ijs.kt.clus.error.common.ClusNumericError
- getAttr(int) - Method in class si.ijs.kt.clus.error.common.ClusSetError
- getAttrHeuristicString() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristic
- getAttrib(int) - Method in class si.ijs.kt.clus.algo.kNN.distance.valentin.VectorDistance
-
Returns index'th attribute.
- getAttribute() - Method in class si.ijs.kt.clus.ext.structuredTypes.SetStatistic
- getAttribute() - Method in class si.ijs.kt.clus.ext.structuredTypes.TupleStatistic
- getAttribute() - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesStat
- getAttribute() - Method in class si.ijs.kt.clus.main.settings.Settings
- getAttribute(int) - Method in class si.ijs.kt.clus.data.io.ClusView
- getAttribute(int) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
-
Returns the nominal attribute.
- getAttribute(int) - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- getAttributeIndices() - Method in class si.ijs.kt.clus.data.rows.SparseDataTuple
- getAttributeIndicesSet() - Method in class si.ijs.kt.clus.data.rows.SparseDataTuple
- getAttributeInfo(String) - Method in class si.ijs.kt.clus.ext.featureRanking.ClusFeatureRanking
- getAttributeJSON() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- getAttributeRelevance(String, int) - Method in class si.ijs.kt.clus.ext.featureRanking.ClusFeatureRanking
- getAttributes() - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getAttributes() - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- getAttributeType() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- getAttributeType() - Method in class si.ijs.kt.clus.data.type.complex.SetAttrType
- getAttributeType() - Method in class si.ijs.kt.clus.data.type.complex.TupleAttrType
- getAttributeType() - Method in class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrType
- getAttributeType() - Method in class si.ijs.kt.clus.data.type.primitive.IndexAttrType
- getAttributeType() - Method in class si.ijs.kt.clus.data.type.primitive.IntegerAttrType
- getAttributeType() - Method in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- getAttributeType() - Method in class si.ijs.kt.clus.data.type.primitive.NumericAttrType
- getAttributeType() - Method in class si.ijs.kt.clus.data.type.primitive.StringAttrType
- getAttributeType() - Method in class si.ijs.kt.clus.data.type.primitive.TimeSeriesAttrType
- getAttrIndex() - Method in class si.ijs.kt.clus.model.test.ClusRuleConstraintInduceTest
- getAttrIndex() - Method in class si.ijs.kt.clus.model.test.NumericTest
- getAttrType(int) - Method in class si.ijs.kt.clus.data.ClusSchema
- getAttrType(String) - Method in class si.ijs.kt.clus.data.ClusSchema
- getAverage(ArrayList<Double>) - Static method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimilarityOutput
- getAverageNumberOfTargetsUsed() - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusEnsembleROSInfo
- getAverageNumberOfTargetsUsedInfo() - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusEnsembleROSInfo
- getAverageNumberOfTargetsUsedInfo() - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusROSForestInfo
- getAvgPWDistanceBetween(int[], int[]) - Method in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- getAvgPWDistancesWithin(int[]) - Method in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- getAvgRankCorr() - Method in class si.ijs.kt.clus.error.SpearmanRankCorrelationPerExample
-
Gives the average (=arithmetic mean) spearman rank correlation over all examples.
- getBaggingSets() - Method in class si.ijs.kt.clus.main.settings.section.SettingsExperimental
- getBagSelection() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- getBandwidth() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- getBasicDistance() - Method in class si.ijs.kt.clus.distance.ClusDistance
- getBasicDistance() - Method in class si.ijs.kt.clus.distance.primitive.SearchDistance
- getBasicDistance(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.data.type.ClusAttrType
-
Returns the distance between the 2 given tuples for this attribute.
- getBeam() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- getBeam() - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- getBeamAttrHeuristic() - Method in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- getBeamBestN() - Method in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- getBeamConstraintFile() - Method in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- getBeamRemoveEqualHeur() - Method in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- getBeamSearch() - Method in class si.ijs.kt.clus.main.settings.Settings
- getBeamSimilarity() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeam
- getBeamSimilarity() - Method in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- getBeamSortOnTrainParameter() - Method in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- getBeamTreeMaxSize() - Method in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- getBeamWidth() - Method in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- getBestAndSmallestModel() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeam
- getBestFitness() - Method in class si.ijs.kt.clus.util.tools.optimization.gd.GDAlgorithm
- getBestFitness() - Method in class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
-
Returns best fitness so far.
- getBestModel() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeam
- getBestTest() - Method in class si.ijs.kt.clus.algo.split.FindBestTest
- getBestTest() - Method in class si.ijs.kt.clus.algo.tdidt.DepthFirstInduce
- getBestTest() - Method in class si.ijs.kt.clus.ext.bestfirst.BestFirstInduce
- getBestTest() - Method in class si.ijs.kt.clus.ext.optiontree.FindBestTests
- getBestTests() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamAttrSelector
- getBestTests(int) - Method in class si.ijs.kt.clus.ext.optiontree.FindBestTests
- getBestTupleMaj(double[], double) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- getBestTupleMajNoParents(double[], double) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- getBetaI(int) - Method in class si.ijs.kt.clus.ext.ensemble.ClusBoostingForest
- getBit(int) - Method in class si.ijs.kt.clus.util.jeans.list.BitList
- getBitPosition() - Method in class si.ijs.kt.clus.data.type.BitwiseNominalAttrType
- getBits() - Method in class si.ijs.kt.clus.statistic.GeneticDistanceStat
- getBoolean() - Method in class si.ijs.kt.clus.util.jeans.util.compound.DoubleBoolean
- getBoolean(String) - Static method in class si.ijs.kt.clus.util.jeans.util.StringUtils
- getBound() - Method in class si.ijs.kt.clus.model.test.ClusRuleConstraintInduceTest
- getBound() - Method in class si.ijs.kt.clus.model.test.NumericTest
- getBounds() - Method in class si.ijs.kt.clus.algo.kNN.methods.vpTree.VPNode
- getBranchLabel(int) - Method in class si.ijs.kt.clus.model.test.NodeTest
- getBranchLabel(int) - Method in class si.ijs.kt.clus.model.test.NominalTest
- getBranchString(int) - Method in class si.ijs.kt.clus.model.test.NodeTest
- getBranchString(int) - Method in class si.ijs.kt.clus.model.test.NominalTest
- getBranchTest(int) - Method in class si.ijs.kt.clus.model.test.InverseNumericTest
- getBranchTest(int) - Method in class si.ijs.kt.clus.model.test.NodeTest
- getBranchTest(int) - Method in class si.ijs.kt.clus.model.test.NominalTest
- getBranchTest(int) - Method in class si.ijs.kt.clus.model.test.NumericTest
- getBranchTest(int) - Method in class si.ijs.kt.clus.model.test.SubsetTest
- getByName(String) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- getCalcItotal() - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getCalcItotal() - Method in class si.ijs.kt.clus.statistic.RegressionStat
- getCandidate(int) - Method in class si.ijs.kt.clus.util.tools.optimization.de.DEPopulation
-
Create a new candidate rule out of parent gene.
- getCardinality(double) - Method in class si.ijs.kt.clus.ext.hierarchical.thresholdcalibration.calibrateByLabelCardinality
- getCardinality(Set) - Static method in class si.ijs.kt.clus.ext.structuredTypes.SetOperations
- getCargo() - Method in class si.ijs.kt.clus.util.jeans.tree.BinaryNode
- getCenter() - Method in class si.ijs.kt.clus.ext.ilevelc.COPKMeansCluster
- getCharToken() - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- getCharTokens() - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- getCharTokens() - Method in class si.ijs.kt.clus.util.jeans.util.MStringTokenizer
- getCharTokens() - Method in class si.ijs.kt.clus.util.jeans.util.MTokenizer
- getChild(int) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- getChild(int) - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- getChild(int) - Method in interface si.ijs.kt.clus.ext.optiontree.Node
- getChild(int) - Method in class si.ijs.kt.clus.util.jeans.tree.BinaryNode
- getChild(int) - Method in class si.ijs.kt.clus.util.jeans.tree.MyNode
- getChild(int) - Method in interface si.ijs.kt.clus.util.jeans.tree.Node
- getChild(int) - Method in class si.ijs.kt.clus.util.jeans.tree.SimpleNode
- getChild(int) - Method in class si.ijs.kt.clus.util.jeans.tree.VisitableNode
- getChildIndex(MyNode) - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- getChildren() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- getChildren() - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusROSModelInfo
- getChildren() - Method in class si.ijs.kt.clus.ext.hierarchicalmtr.ClusHMTRNode
- getChildren() - Method in class si.ijs.kt.clus.ext.optiontree.ClusSplitNode
- getChiSquareInvProb(int) - Method in class si.ijs.kt.clus.main.ClusStatManager
- getChosenIntances() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRelief
- getChosenIntancesTest(int) - Method in class si.ijs.kt.clus.main.settings.section.SettingsKNN
- getChosenIntancesTrain(int) - Method in class si.ijs.kt.clus.main.settings.section.SettingsKNN
- getClass(int) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- getClassCounts() - Method in class si.ijs.kt.clus.statistic.ClassificationStat
-
Returns class counts for all targets
- getClassCounts(int) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
-
Returns class counts for given target
- getClassesByLevel() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- getClassID(int) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- getClassification() - Method in class si.ijs.kt.clus.data.rows.DataTuple
- getClassificationStat() - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getClassificationStat() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getClassificationStat() - Method in class si.ijs.kt.clus.statistic.CombStat
- getClassificationThresholds() - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- getClassifier() - Method in class si.ijs.kt.clus.Clus
- getClassIndex(String) - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageSingleClass
- getClassIndex(ClassesValue) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- getClassName(int, int) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getClassStr(String) - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageSingleClass
- getClassString() - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getClassString() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getClassTerm(ClassesValue) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- getClassTermByName(String) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- getClassTermByNameAddIfNotIn(String) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- getClassTermDAG(ClassesValue) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- getClassTermTree(ClassesValue) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- getClassValue() - Method in class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI
- getClassWisePredictions() - Method in class si.ijs.kt.clus.error.mlc.MLROCAndPRCurve
- getClone(String) - Method in class si.ijs.kt.clus.ext.constraint.ClusConstraintFile
- getClosestPoint(int, int) - Method in class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI.ILevelCComponent
- getClus() - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageNodeWiseModels
- getClus() - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageSingleClass
- getClus() - Method in class si.ijs.kt.clus.algo.ClusInductionAlgorithmType
- getClusterID() - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCStatistic
- getClustering() - Method in class si.ijs.kt.clus.data.ClusSchema
- getClustering() - Method in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
- getClusteringAttributes() - Method in class si.ijs.kt.clus.data.ClusSchema
- getClusteringAttributeWeights() - Method in class si.ijs.kt.clus.heuristic.ClusHeuristic
- getClusteringStat() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- getClusteringStat() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
-
Insprectors concenring statistics
- getClusteringStat() - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- getClusteringWeights() - Method in class si.ijs.kt.clus.main.ClusStatManager
- getClusteringWeights() - Method in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
- getClusterMode() - Method in class si.ijs.kt.clus.main.ClusStatManager
- getCols() - Method in class si.ijs.kt.clus.util.jeans.math.matrix.MMatrix
- getCols() - Method in class si.ijs.kt.clus.util.jeans.math.matrix.MSymMatrix
- getComponent(int) - Method in class si.ijs.kt.clus.error.ClusSumError
- getComponent(int) - Method in class si.ijs.kt.clus.util.jeans.util.DisjointSetForest
- getComponentWeight(int, int) - Method in class si.ijs.kt.clus.ext.ensemble.ClusOOBWeights
- getComposeWeight(ClusAttrType) - Method in class si.ijs.kt.clus.data.attweights.ClusNormalizedAttributeWeights
- getConfidence(int) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.PredictionConfidence
- getConfidenceMeasure() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- getConfidenceScores() - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.PredictionConfidence
- getConfidenceThreshold() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- getConstraintFile() - Method in class si.ijs.kt.clus.main.settings.section.SettingsConstraints
- getConstraintPredictions() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSyntacticConstraint
- getConstraints() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- getConstraints() - Method in class si.ijs.kt.clus.main.settings.Settings
- getCorrelation(int) - Method in class si.ijs.kt.clus.error.PearsonCorrelation
- getCount() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamTreeElem
- getCount() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamTreeElemOld
- getCount() - Method in class si.ijs.kt.clus.util.jeans.math.SingleStat
- getCount() - Method in class si.ijs.kt.clus.util.jeans.util.compound.DoubleBooleanCount
- getCount(int) - Method in class si.ijs.kt.clus.selection.BagSelection
- getCount(int) - Method in class si.ijs.kt.clus.selection.OOBSelection
- getCount(int, int) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getCount(int, int) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getCount(int, int) - Method in class si.ijs.kt.clus.statistic.GeneticDistanceStat
- getCounter() - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.PredictionConfidence
-
Return the number of instances for which the confidence score is != Double.NaN
- getCoverage() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- getCoverage() - Method in class si.ijs.kt.clus.error.common.ClusError
- getCoverage() - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusEnsembleROSInfo
- getCoverage() - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusROSForestInfo
- getCoverageInfo() - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusEnsembleROSInfo
- getCoverageInfo() - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusROSForestInfo
- getCoverageNormalized() - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusEnsembleROSInfo
- getCoverageNormalizedInfo() - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusEnsembleROSInfo
- getCoverageNormalizedInfo() - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusROSForestInfo
- getCoverageOpt(int) - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusEnsembleROSInfo
-
Used when ensembles run in optimized mode
- getCoveringMethod() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- getCoveringWeight() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- getCovForPrediction(int) - Method in class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
- getCPUTime() - Static method in class si.ijs.kt.clus.util.ResourceInfo
- getCreateTestError() - Method in class si.ijs.kt.clus.model.ClusModelInfo
- getCriticalF(int, int) - Static method in class si.ijs.kt.clus.util.FTest
- getCriticalFCommonsMath(double, double) - Static method in class si.ijs.kt.clus.util.FTest
- getCrValue() - Method in class si.ijs.kt.clus.data.type.primitive.IndexAttrType
- getCrWidth() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeam
- getCrWidth() - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustive
- getCSets() - Method in class si.ijs.kt.clus.ext.ilevelc.COPKMeansModel
- getCTParent() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- getCTree() - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveDFSearch
- getCurrentDir() - Static method in class si.ijs.kt.clus.util.jeans.util.FileUtil
-
Return the current working Directory of the File SASystem.
- getCurrentDirectory() - Static method in class si.ijs.kt.clus.util.jeans.util.FileUtil
- getCurrentModel() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- getCurrentModel() - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- getCurrentTree() - Method in class si.ijs.kt.clus.pruning.PruneTree
- getCurveError(MLROCAndPRCurve.CurveType) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MLROCAndPRCurve
- getData() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- getData() - Method in class si.ijs.kt.clus.Clus
- getData() - Method in class si.ijs.kt.clus.data.rows.MemoryTupleIterator
- getData() - Method in class si.ijs.kt.clus.data.rows.RowData
- getData() - Method in class si.ijs.kt.clus.data.rows.TupleIterator
- getData() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamAttrSelector
- getData() - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ReliefModel
- getData() - Method in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- getData() - Method in class si.ijs.kt.clus.main.settings.Settings
- getData() - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getData() - Method in class si.ijs.kt.clus.statistic.RegressionStat
- getData() - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- getDataFile() - Method in class si.ijs.kt.clus.main.settings.section.SettingsData
- getDataIndexesPerVal() - Method in class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicDispersion
- getDataSet(int) - Method in class si.ijs.kt.clus.main.ClusRun
- getDatasetIndex() - Method in class si.ijs.kt.clus.data.rows.DataTuple
- getDatasetIndex() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- getDate() - Method in class si.ijs.kt.clus.main.settings.section.SettingsGeneric
- getDebugString() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getDebugString() - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- getDefault() - Method in class si.ijs.kt.clus.util.tools.manual.ManualEntry
- getDefaultData() - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- getDefaultSettings() - Static method in class si.ijs.kt.clus.main.settings.Settings
- getDefinitionFile() - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- getDelimToken(char, char) - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- getDepth() - Method in class si.ijs.kt.clus.ext.ensemble.container.NodeDepthPair
- getDepth() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- getDepth() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
-
Getter for m_Depth.
- getDepth() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNode
- getDepth(String) - Static method in class si.ijs.kt.clus.ext.hierarchical.HierIO
- getDescMean(int) - Static method in class si.ijs.kt.clus.algo.rules.RuleNormalization
- getDescription() - Method in class si.ijs.kt.clus.util.tools.manual.ManualEntry
- getDescriptive() - Method in class si.ijs.kt.clus.data.ClusSchema
- getDescriptive() - Method in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
- getDescriptiveAttribute(int) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ClusReliefFeatureRanking
- getDescriptiveAttributes() - Method in class si.ijs.kt.clus.data.ClusSchema
- getDescriptiveAttributes() - Method in class si.ijs.kt.clus.ext.bestfirst.BestFirstInduce
- getDescriptiveAttributes(ClusRandomNonstatic) - Method in class si.ijs.kt.clus.algo.tdidt.DepthFirstInduce
- getDescriptiveAttributesIndices(ClusStatManager) - Static method in class si.ijs.kt.clus.util.ClusUtil
- getDescriptiveDidstance() - Method in class si.ijs.kt.clus.ext.featureRanking.relief.nearestNeighbour.NearestNeighbour
- getDescriptiveIndex(String) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- getDescriptiveIndices() - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- getDescStdDev(int) - Static method in class si.ijs.kt.clus.algo.rules.RuleNormalization
- getDetailLevel() - Method in class si.ijs.kt.clus.error.common.ClusError
- getDifferenceCardinality(Set, Set, ClusDistance) - Static method in class si.ijs.kt.clus.ext.structuredTypes.SetOperations
- getDimension() - Method in class si.ijs.kt.clus.error.common.ClusError
- getDisabled() - Method in class si.ijs.kt.clus.data.ClusSchema
- getDisabled() - Method in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
- getDiscretePred() - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- getDispersion(ClusAttributeWeights, RowData) - Method in class si.ijs.kt.clus.ext.structuredTypes.SetStatistic
-
Currently only used to compute the default dispersion within rule heuristics.
- getDispersion(ClusAttributeWeights, RowData) - Method in class si.ijs.kt.clus.ext.structuredTypes.TupleStatistic
-
Currently only used to compute the default dispersion within rule heuristics.
- getDispersion(ClusAttributeWeights, RowData) - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesStat
-
Currently only used to compute the default dispersion within rule heuristics.
- getDispersion(ClusAttributeWeights, RowData) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
-
Currently only used to compute the default dispersion within rule heuristics.
- getDispersion(ClusAttributeWeights, RowData) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
-
Currently only used to compute the default dispersion within rule heuristics.
- getDispersion(ClusAttributeWeights, RowData) - Method in class si.ijs.kt.clus.statistic.CombStat
-
Currently only used to compute the default dispersion within rule heuristics.
- getDispersion(ClusAttributeWeights, RowData) - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
-
Currently only used to compute the default dispersion within rule heuristics.
- getDispersion(ClusAttributeWeights, RowData) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
-
Used for the hierarchical rules heuristic
- getDispersionString() - Method in class si.ijs.kt.clus.statistic.CombStat
- getDispersionWeights() - Method in class si.ijs.kt.clus.main.ClusStatManager
- getDispersionWeights() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- getDist() - Method in class si.ijs.kt.clus.distance.primitive.relief.Levenshtein
- getDistance() - Method in class si.ijs.kt.clus.algo.kNN.methods.NN
- getDistance() - Method in class si.ijs.kt.clus.algo.kNN.methods.SearchAlgorithm
-
Returns distance used in search algorithm.
- getDistance() - Method in class si.ijs.kt.clus.main.settings.section.SettingsKNN
- getDistance() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getDistance() - Method in class si.ijs.kt.clus.statistic.SumPairwiseDistancesStat
- getDistance(String[], String[]) - Method in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristic
- getDistance(ArrayList<ClusStatistic>, ArrayList<ClusStatistic>) - Static method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModelDistance
- getDistance(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.algo.kNN.distance.valentin.VectorDistance
-
Returns the distance between the 2 given tuples
- getDistance(ClusAttrType, DataTuple, DataTuple) - Method in class si.ijs.kt.clus.algo.kNN.distance.valentin.BasicDistance
-
Returns the distance for given tuples for given Attribute
- getDistance(ClusAttrType, DataTuple, DataTuple) - Method in class si.ijs.kt.clus.algo.kNN.distance.valentin.NominalBasicDistance
-
Returns the distance for given tuples for given (Nominal) Attribute Require type : must be a NominalAttrType object
- getDistance(ClusAttrType, DataTuple, DataTuple) - Method in class si.ijs.kt.clus.algo.kNN.distance.valentin.NumericBasicDistance
-
Returns the distance for given tuples for given (Numerical) Attribute Require type : must be a NumericAttrType object
- getDistanceName() - Method in class si.ijs.kt.clus.distance.ClusDistance
- getDistanceName() - Method in class si.ijs.kt.clus.distance.complex.sets.EuclideanDistance
- getDistanceName() - Method in class si.ijs.kt.clus.distance.complex.sets.GSMDistance
- getDistanceName() - Method in class si.ijs.kt.clus.distance.complex.sets.GSMDistanceBitVector
- getDistanceName() - Method in class si.ijs.kt.clus.distance.complex.sets.HammingLossDistance
- getDistanceName() - Method in class si.ijs.kt.clus.distance.complex.sets.JaccardDistance
- getDistanceName() - Method in class si.ijs.kt.clus.distance.complex.tuples.EuclideanDistance
- getDistanceName() - Method in class si.ijs.kt.clus.distance.complex.tuples.MinkowskiDistance
- getDistanceName() - Method in class si.ijs.kt.clus.distance.complex.tuples.SSPDMatrix
- getDistanceName() - Method in class si.ijs.kt.clus.distance.hierarchies.HierJaccardDistance
- getDistanceName() - Method in class si.ijs.kt.clus.distance.primitive.ChebyshevDistance
- getDistanceName() - Method in class si.ijs.kt.clus.distance.primitive.EuclideanDistance
- getDistanceName() - Method in class si.ijs.kt.clus.distance.primitive.ManhattanDistance
- getDistanceName() - Method in class si.ijs.kt.clus.distance.primitive.nominal.NominalDistance
- getDistanceName() - Method in class si.ijs.kt.clus.distance.primitive.SearchDistance
- getDistanceName() - Method in class si.ijs.kt.clus.distance.primitive.timeseries.DTWTimeSeriesDist
- getDistanceName() - Method in class si.ijs.kt.clus.distance.primitive.timeseries.QDMTimeSeriesDist
- getDistanceName() - Method in class si.ijs.kt.clus.distance.primitive.timeseries.TSCTimeSeriesDist
- getDistanceName() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getDistanceName() - Method in class si.ijs.kt.clus.statistic.HierSumPairwiseDistancesStat
- getDistanceName() - Method in class si.ijs.kt.clus.statistic.SumPairwiseDistancesStat
- getDistanceName() - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- getDistanceToBeam() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- getDistToConstraint(ClusBeamModel, ClusBeamSyntacticConstraint) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModelDistance
-
Dragi Calculates the distance between a given model and the syntactic constraint
- getDouble() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- getDouble() - Method in class si.ijs.kt.clus.util.jeans.math.MDouble
- getDouble() - Method in class si.ijs.kt.clus.util.jeans.math.MNumber
- getDouble() - Method in class si.ijs.kt.clus.util.jeans.util.compound.DoubleBoolean
- getDouble(int) - Method in class si.ijs.kt.clus.data.rows.RowData
- getDouble(int) - Method in class si.ijs.kt.clus.data.rows.RowDataSortHelper
- getDouble(int) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- getDouble(int) - Method in interface si.ijs.kt.clus.util.jeans.util.sort.MSortable
- getDoubleAt(int) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileArray
- getDoubles() - Method in class si.ijs.kt.clus.data.rows.DataTuple
- getDoubleVal(int) - Method in class si.ijs.kt.clus.data.rows.DataTuple
- getDoubleValue() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrDouble
- getDoubleValueSparse(int) - Method in class si.ijs.kt.clus.data.rows.SparseDataTuple
- getDoubleValueSparse(Integer) - Method in class si.ijs.kt.clus.data.rows.SparseDataTuple
- getDoubleVector() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- getDummyAttrs() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- getDumpCloned() - Method in class si.ijs.kt.clus.util.cloner.Cloner
- getEditDistance(String[], String[]) - Method in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristic
- getEfficiencyLevel() - Method in class si.ijs.kt.clus.statistic.SumPairwiseDistancesStat
- getElement(int) - Method in class si.ijs.kt.clus.selection.XValGroup
- getElementAt(int) - Method in class si.ijs.kt.clus.util.jeans.util.IntegerStack
- getEnabledCount(int[]) - Static method in class si.ijs.kt.clus.ext.ensemble.ros.ClusEnsembleROSInfo
- getEncodingCostValue() - Method in class si.ijs.kt.clus.heuristic.EncodingCost
- getEncodingCostValueWithNormalizer() - Method in class si.ijs.kt.clus.heuristic.EncodingCost
- getEnsemble() - Method in class si.ijs.kt.clus.main.settings.Settings
- getEnsembleBagSize() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
-
Gets the size of bags for ensembles
- getEnsembleBootstrapping() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- getEnsembleFeatureRanking(int, SettingsEnsemble.EnsembleRanking) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce
- getEnsembleMethod() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- getEnsembleMethodName() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- getEnsemblePredictionWriter(int) - Method in class si.ijs.kt.clus.model.ClusModelInfo
- getEnsembleROSAlgorithmType() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- getEnsembleROSForestInfo() - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- getEnsembleROSVotingType() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- getEnsembleVotingType() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- getEntropyType() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- getEntry(String) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileSection
- getError() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSIT
- getError() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getError(int) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- getError(int) - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- getError(int) - Method in class si.ijs.kt.clus.model.ClusModelInfo
- getError(String, String) - Method in class si.ijs.kt.clus.util.jeans.io.range.NominalType
- getError(ClusAttributeWeights) - Method in class si.ijs.kt.clus.ext.structuredTypes.TupleStatistic
- getError(ClusAttributeWeights) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getError(ClusAttributeWeights) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getError(ClusAttributeWeights) - Method in class si.ijs.kt.clus.statistic.CombStat
- getError(ClusAttributeWeights) - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- getError(ClusAttributeWeights, RowData) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getErrorAccuracy() - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- getErrorAuc() - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- getErrorByName(String) - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- getErrorClassif() - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- getErrorClone() - Method in class si.ijs.kt.clus.error.common.ClusError
- getErrorClone() - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- getErrorClone(String) - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.AbsoluteError
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.Accuracy
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.AvgDistancesError
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.ClusSumError
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.common.ClusError
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreWrapper
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.ContingencyTable
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.hmlc.HierLevelAccuracy
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.hmlc.HierRMSError
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.ICVPairwiseDistancesError
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.MisclassificationError
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.mlc.AveragePrecision
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.mlc.Coverage
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.mlc.HammingLoss
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.mlc.MacroFOne
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.mlc.MacroPrecision
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.mlc.MacroRecall
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.mlc.MicroFOne
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.mlc.MicroPrecision
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.mlc.MicroRecall
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.mlc.MLAccuracy
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.mlc.MLaverageAUPRC
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.mlc.MLaverageAUROC
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.mlc.MLFOneMeasure
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.mlc.MLpooledAUPRC
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.mlc.MLPrecision
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.mlc.MLRecall
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.mlc.MLROCAndPRCurve
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.mlc.MLweightedAUPRC
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.mlc.OneError
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.mlc.RankingLoss
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.mlc.SubsetAccuracy
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MlcMeasuresForHmlc
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.MSError
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.MSNominalError
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.NominalCorrelation
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.PearsonCorrelation
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.RelativeError
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.RMSError
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.RRMSError
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.sets.Accuracy
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.sets.F1Score
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.sets.HammingLossError
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.sets.Precision
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.sets.Recall
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.sets.SubsetAccuracy
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.SpearmanRankCorrelation
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.SpearmanRankCorrelationPerExample
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.error.WAHNDError
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCRandIndex
- getErrorClone(ClusErrorList) - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesSignificantChangeTesterXVAL
- getErrorComp(int) - Method in class si.ijs.kt.clus.error.hmlc.HierLevelAccuracy
- getErrorDiff(ClusAttributeWeights, ClusStatistic) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getErrorDiff(ClusAttributeWeights, ClusStatistic) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getErrorDiff(ClusAttributeWeights, ClusStatistic) - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- getErrorDiff(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getErrorDiffROS(ClusAttributeWeights, ClusStatistic) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getErrorOrNull(int) - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- getErrorPerleaf(ClusNode) - Static method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- getErrorPerleaf(ClusNode, MDouble) - Static method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveDFSearch
- getErrorPerleaf(ClusNode, MDouble, ArrayList) - Static method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveDFSearch
- getErrorPrecision() - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- getErrorRecall() - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- getErrorRel() - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getErrorRel() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getErrorROS(ClusAttributeWeights) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getEsimatedGini(int) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
-
If there is no examples for an attribute i, gini is estimated according to setting given in settings file
- getEstimatedErrors(ClusNode) - Method in class si.ijs.kt.clus.pruning.C45Pruner
- getEstimatedErrorsForBranch(ClusNode, RowData) - Method in class si.ijs.kt.clus.pruning.C45Pruner
- getEstimatedErrorsForDistribution(ClassificationStat) - Method in class si.ijs.kt.clus.pruning.C45Pruner
- getEstimatedProbabilityPrediction(int) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getEstimatedSVarS(int) - Method in class si.ijs.kt.clus.statistic.RegressionStat
-
The case where are examples have missing value for the i-th attribute, i.e., variance can not be calculated, so it is estimated
- getEstimatedSVarS(ClusAttributeWeights) - Method in class si.ijs.kt.clus.statistic.RegressionStatBinaryNomiss
-
The case where are examples have missing value for the i-th attribute, i.e., variance can not be calculated, so it is estimated
- getEvalArray(int, int) - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageSingleClass
- getEvalClasses() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- getEvalClassesVector() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- getExamples() - Method in class si.ijs.kt.clus.data.type.primitive.SparseNumericAttrType
- getExampleWeight() - Method in class si.ijs.kt.clus.data.type.primitive.SparseNumericAttrType
- getExampleWeight(ArrayList) - Method in class si.ijs.kt.clus.algo.tdidt.DepthFirstInduceSparse
-
Deprecated.
- getExampleWeight(RowData, SparseNumericAttrType) - Method in class si.ijs.kt.clus.algo.tdidt.DepthFirstInduceSparse
- getExhaustiveSearch() - Method in class si.ijs.kt.clus.main.settings.Settings
- getExhaustiveSearchThresholds() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- getExperimental() - Method in class si.ijs.kt.clus.main.settings.Settings
- getExtension(File) - Static method in class si.ijs.kt.clus.util.jeans.util.FileUtil
-
Return the File SASystem Extension of a given File.
- getExtension(String) - Static method in class si.ijs.kt.clus.util.jeans.util.FileUtil
-
Return the File SASystem Extension of a given (by name) File.
- getExtraError(int) - Method in class si.ijs.kt.clus.model.ClusModelInfo
- getExtraInfo() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getExtraInfo() - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- getExtraInfoRec(ClassTerm, double[], StringBuffer) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- getFac() - Method in class si.ijs.kt.clus.distance.hierarchies.HierWeightSPath
- getFileAbsolute(String) - Method in class si.ijs.kt.clus.main.settings.section.SettingsGeneric
- getFileAbsoluteWriter(String) - Method in class si.ijs.kt.clus.main.settings.section.SettingsGeneric
- getFileName() - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- getFileNameForErrorMsg() - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- getFileOpen() - Method in class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI
- getFimpHeader() - Method in class si.ijs.kt.clus.ext.featureRanking.Fimp
- getFimportances() - Method in class si.ijs.kt.clus.ext.ensemble.container.OneBagResults
- getFindBestTest() - Method in class si.ijs.kt.clus.algo.tdidt.DepthFirstInduce
- getFindBestTest() - Method in class si.ijs.kt.clus.ext.bestfirst.BestFirstInduce
- getFirst() - Method in class si.ijs.kt.clus.ext.semisupervised.utils.DoublesPair
- getFirst() - Method in class si.ijs.kt.clus.util.jeans.util.list.MyListIter
- getFirst() - Method in class si.ijs.kt.clus.util.tuple.Pair
- getFirst() - Method in class si.ijs.kt.clus.util.tuple.Quadruple
- getFirst() - Method in class si.ijs.kt.clus.util.tuple.Triple
- getFirstError() - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- getFirstNonEmptyLine(LineNumberReader) - Static method in class si.ijs.kt.clus.model.io.ClusTreeReader
- getFIs() - Method in class si.ijs.kt.clus.ext.optxval.OptXValBinTree
- getFloat() - Method in class si.ijs.kt.clus.data.io.ClusReader
- getFN() - Method in class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy
- getFold() - Method in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- getFold(int) - Method in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- getFold(int) - Method in class si.ijs.kt.clus.selection.XValDataSelection
- getFold(int) - Method in class si.ijs.kt.clus.selection.XValMainSelection
- getFold(int) - Method in class si.ijs.kt.clus.selection.XValRandomSelection
- getFoldData(int) - Method in class si.ijs.kt.clus.data.rows.RowData
- getFoldData2(int) - Method in class si.ijs.kt.clus.data.rows.RowData
-
Only used in efficient XVal code TODO Could be a bug: changeWeight -> multiplyWeight
- getFolds() - Method in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- getFolds() - Method in class si.ijs.kt.clus.ext.optxval.OptXValSplit
- getFormat() - Method in class si.ijs.kt.clus.error.common.ClusError
- getFormat() - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- getFourth() - Method in class si.ijs.kt.clus.util.tuple.Quadruple
- getFP() - Method in class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy
- getFrequency() - Method in class si.ijs.kt.clus.error.BinaryPredictionList
- getFromOOBUsage(DataTuple) - Method in class si.ijs.kt.clus.ext.ensemble.ClusOOBErrorEstimate
- getFTest() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- getFTestArray() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- getGeneral() - Method in class si.ijs.kt.clus.main.settings.Settings
- getGeneric() - Method in class si.ijs.kt.clus.main.settings.Settings
- getGenes() - Method in class si.ijs.kt.clus.util.tools.optimization.de.DEIndividual
- getGIS() - Method in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
- getGISStat() - Method in class si.ijs.kt.clus.statistic.GISStat
-
Deprecated.
- getGradient(int, ArrayList<Double>) - Method in class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
-
Compute gradient for the given weight dimension
- getGroup() - Method in class si.ijs.kt.clus.util.jeans.util.MSStringTokenizer
- getGroup(char) - Method in class si.ijs.kt.clus.util.jeans.util.MSStringTokenizer
- getGTest(int, ClusStatManager) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
-
Computes a G statistic and returns the result of a G test.
- getGTestPValue(int, ClusStatManager) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
-
Computes a G statistic and returns the p-value of a G test.
- getHarmonicAvgRankCorr() - Method in class si.ijs.kt.clus.error.SpearmanRankCorrelationPerExample
-
Gives the average (=arithmetic mean) spearman rank correlation over all examples.
- getHarmonicRankCorrVariance() - Method in class si.ijs.kt.clus.error.SpearmanRankCorrelationPerExample
-
Gives the variance of the harmonic mean of the rank correlation over all examples
- getHeight(BinaryNode) - Static method in class si.ijs.kt.clus.util.jeans.tree.BinaryNode
- getHeurCoveragePar() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- getHeurDispOffset() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- getHeuristic() - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- getHeuristic() - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- getHeuristic() - Method in class si.ijs.kt.clus.main.ClusStatManager
- getHeuristic() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- getHeuristicComplexity() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- getHeuristicName() - Method in class si.ijs.kt.clus.main.ClusStatManager
- getHeuristicRatios() - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- getHeuristicValue() - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- getHeuristicValue() - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- getHeuristicValue() - Method in class si.ijs.kt.clus.model.test.NodeTest
- getHeurPrototypeDistPar() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- getHeurRuleDistPar() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- getHier() - Method in class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrType
- getHier() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchyPreproc
- getHier() - Method in class si.ijs.kt.clus.main.ClusStatManager
- getHier() - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- getHierarchicalStat() - Method in class si.ijs.kt.clus.statistic.CombStatClassRegHier
- getHierDistance() - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- getHierEvalClasses() - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- getHierOptimizeErrorMeasure() - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- getHierPruneInSig() - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- getHierSingleLabel() - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- getHierType() - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- getHierWParam() - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- getHierWType() - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- getHMLC() - Method in class si.ijs.kt.clus.main.settings.Settings
- getHMTR() - Method in class si.ijs.kt.clus.main.settings.Settings
- getHMTRAggregation() - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMTR
- getHMTRAggregationName() - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMTR
- getHMTRDistance() - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMTR
- getHMTRHierarchy() - Method in class si.ijs.kt.clus.data.ClusSchema
- getHMTRHierarchyString() - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMTR
- getHMTRHierarchyWeight() - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMTR
- getHMTRType() - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMTR
- getHMTRValue(DataTuple, String) - Method in class si.ijs.kt.clus.data.type.primitive.NumericAttrType.MySerializable
- getID() - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageTreeModel
- getID() - Method in class si.ijs.kt.clus.algo.kNN.KnnModel
- getID() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- getID() - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- getID() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- getID() - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- getID() - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ReliefModel
- getID() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- getID() - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- getID() - Method in class si.ijs.kt.clus.ext.optiontree.ClusSplitNode
- getID() - Method in interface si.ijs.kt.clus.model.ClusModel
- getID() - Method in class si.ijs.kt.clus.util.UniqueNodeIdentifier
- getID(String) - Method in class si.ijs.kt.clus.ext.hierarchical.HierIO
- getILevelC() - Method in class si.ijs.kt.clus.main.settings.Settings
- getILevelCAlpha() - Method in class si.ijs.kt.clus.main.settings.section.SettingsILevelC
- getILevelCFile() - Method in class si.ijs.kt.clus.main.settings.section.SettingsILevelC
- getILevelCNbRandomConstraints() - Method in class si.ijs.kt.clus.main.settings.section.SettingsILevelC
- getImmutableAnnotation() - Method in class si.ijs.kt.clus.util.cloner.Cloner
- getIndex() - Method in class si.ijs.kt.clus.data.rows.DataTuple
- getIndex() - Method in enum class si.ijs.kt.clus.data.type.ClusAttrType.AttributeUseType
- getIndex() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- getIndex() - Method in enum class si.ijs.kt.clus.data.type.ClusAttrType.ValueType
- getIndex() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- getIndex() - Method in class si.ijs.kt.clus.main.ClusRun
-
Index of clus run
- getIndex() - Method in class si.ijs.kt.clus.util.jeans.tree.TreeIterator
- getIndex() - Method in class si.ijs.kt.clus.util.jeans.util.compound.IndexedItem
- getIndex() - Method in class si.ijs.kt.clus.util.jeans.util.sort.DoubleIndexSorter
- getIndex(ClusAttrType) - Method in class si.ijs.kt.clus.addon.sit.TargetSet
- getIndex(ClusRandomNonstatic) - Method in class si.ijs.kt.clus.selection.ClusSelection
- getIndex(ClusRandomNonstatic) - Method in class si.ijs.kt.clus.selection.OverSample
- getIndexInDataset() - Method in class si.ijs.kt.clus.ext.featureRanking.relief.nearestNeighbour.NearestNeighbour
- getIndexString() - Method in class si.ijs.kt.clus.main.ClusRun
- getIndice() - Method in class si.ijs.kt.clus.ext.semisupervised.utils.IndiceValuePair
- getIndString() - Method in class si.ijs.kt.clus.util.tools.optimization.de.DEIndividual
- getInduce() - Method in class si.ijs.kt.clus.algo.ClusInductionAlgorithmType
- getInduce() - Method in class si.ijs.kt.clus.Clus
- getInductionOrder() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- getInductionTime() - Method in class si.ijs.kt.clus.ext.ensemble.container.OneBagResults
- getInductionTime() - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- getInductionTimeSequential() - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- getInfo(int) - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusEnsembleROSInfo
- getInitialRuleGeneratingMethod() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- getInitialWeightVector() - Method in class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
-
Generates a zero vector.
- getInnerTypes() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- getInstance() - Static method in class si.ijs.kt.clus.addon.sit.Sit
-
Returns the one and only Sit instance (singleton pattern)
- getInstance() - Static method in class si.ijs.kt.clus.ext.constraint.ClusConstraintFile
- getInstance() - Static method in class si.ijs.kt.clus.statistic.StatisticPrintInfo
- getInstance() - Static method in class si.ijs.kt.clus.util.cloner.ObjenesisInstantiationStrategy
- getInstance() - Static method in class si.ijs.kt.clus.util.jeans.util.sort.DoubleIndexSorter
- getInstance() - Static method in class si.ijs.kt.clus.util.jeans.util.sort.MStringSorter
- getInstance(T) - Method in class si.ijs.kt.clus.util.cloner.FastClonerCustomCollection
- getInstance(T) - Method in class si.ijs.kt.clus.util.cloner.FastClonerCustomMap
- getInstCoveringWeightThreshold() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- getInt() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector
- getInt(int) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector
- getIntAt(int) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileArray
- getIntAt(int) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominal
- getInternalAttributesNames(ClusNode) - Method in class si.ijs.kt.clus.ext.featureRanking.ClusFeatureRanking
-
Finds all attributes that appear as (part of) the test in a node in the given tree.
- getInternalFoldIndices() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- getInternalNodesWithDepth(ClusNode) - Method in class si.ijs.kt.clus.ext.featureRanking.ensemble.ClusEnsembleFeatureRanking
-
Finds all internal nodes in the given tree.
- getIntersectionCardinality(Set, Set, ClusDistance) - Static method in class si.ijs.kt.clus.ext.structuredTypes.SetOperations
- getInterval(int) - Method in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- getInts() - Method in class si.ijs.kt.clus.data.rows.DataTuple
- getIntVal(int) - Method in class si.ijs.kt.clus.data.rows.DataTuple
- getIntValue() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrInt
- getIntVector() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector
- getIntVectorSorted() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector
- getIS_RULE_SIG_TESTING() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- getIsBeamUpdated() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModelDistance
- getIsInArray() - Method in class si.ijs.kt.clus.model.test.SubsetTest
- getIsInternalXValRun() - Method in class si.ijs.kt.clus.main.ClusRun
-
Other
- getIsLeafVector() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
-
Computes whether a given class term index corresponds to a leaf in the hierarchy or not.
- getItemsHistory() - Method in class si.ijs.kt.clus.algo.kNN.methods.vpTree.VPItem
- getIterations() - Method in class si.ijs.kt.clus.ext.ilevelc.COPKMeansModel
- getIterations() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- getIterator() - Method in class si.ijs.kt.clus.data.rows.RowData
- getIterator() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeam
- getIterator() - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustive
- getJukesCantorDistance(String[], String[]) - Method in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristic
- getK() - Method in class si.ijs.kt.clus.algo.kNN.methods.kdTree.KDTree
-
Returns number of neighbors we search.
- getK() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- getKey() - Method in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
- getKeyAttribute() - Method in class si.ijs.kt.clus.data.ClusSchema
- getKeysVector() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- getKimuraDistance(String[], String[]) - Method in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristic
- getKNN() - Method in class si.ijs.kt.clus.main.settings.Settings
- getKNNAttrWeight() - Method in class si.ijs.kt.clus.main.settings.section.SettingsKNN
- getKNNDistanceWeights() - Method in class si.ijs.kt.clus.main.settings.section.SettingsKNN
- getKNNDistanceWeightsString() - Method in class si.ijs.kt.clus.main.settings.section.SettingsKNN
- getKNNk() - Method in class si.ijs.kt.clus.main.settings.section.SettingsKNN
- getKNNTNormalized() - Method in class si.ijs.kt.clus.main.settings.section.SettingsKNNTree
- getKNNTree() - Method in class si.ijs.kt.clus.main.settings.Settings
- getLabelCardinality() - Method in class si.ijs.kt.clus.error.mlc.Coverage
- getLambda(ClusNode) - Static method in class si.ijs.kt.clus.pruning.CartPruning
- getLambdaMin(ClusNode) - Static method in class si.ijs.kt.clus.pruning.CartPruning
- getLargestBranchIndex() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- getLastNonDisabledType() - Method in class si.ijs.kt.clus.data.ClusSchema
- getLatexЕmpty(String, String) - Static method in class si.ijs.kt.clus.util.tools.manual.ManualEntry
- getLeafClusters(ClusNode, RowData, ArrayList<RowData>, ArrayList<Integer>) - Method in class si.ijs.kt.clus.pruning.EncodingCostPruning
- getLearnerName() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSIT
- getLeft() - Method in class si.ijs.kt.clus.util.jeans.tree.BinaryNode
- getLeftSubtree() - Method in class si.ijs.kt.clus.algo.kNN.methods.vpTree.VPNode
- getLevel() - Method in class si.ijs.kt.clus.algo.kNN.methods.kdTree.KDNode
-
Returns level on which this node is situated.
- getLevel() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- getLevel() - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- getLevel() - Method in class si.ijs.kt.clus.ext.optiontree.ClusSplitNode
- getLevel() - Method in interface si.ijs.kt.clus.ext.optiontree.Node
- getLevel() - Method in class si.ijs.kt.clus.util.jeans.math.MDouble
- getLevel() - Method in class si.ijs.kt.clus.util.jeans.math.MNumber
- getLevel() - Method in class si.ijs.kt.clus.util.jeans.tree.BinaryNode
- getLevel() - Method in class si.ijs.kt.clus.util.jeans.tree.BottomLevelIterator
- getLevel() - Method in class si.ijs.kt.clus.util.jeans.tree.LeafTreeIterator
- getLevel() - Method in class si.ijs.kt.clus.util.jeans.tree.MyNode
- getLevel() - Method in interface si.ijs.kt.clus.util.jeans.tree.Node
- getLevel() - Method in class si.ijs.kt.clus.util.jeans.tree.SimpleNode
- getLevel() - Method in class si.ijs.kt.clus.util.jeans.tree.TreeIterator
- getLevel() - Method in class si.ijs.kt.clus.util.jeans.tree.VisitableNode
- getLevelAndComputeArray(double, int) - Static method in class si.ijs.kt.clus.util.FTest
- getLevelStat(int) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- getLevelStat(int) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- getLinDescrDim(int) - Method in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
-
Returns descriptive dimension for linear term with this index.
- getLine() - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- getLine() - Method in class si.ijs.kt.clus.util.jeans.util.MTokenizer
- getLine(int) - Method in class si.ijs.kt.clus.model.test.FakeTest
- getLine(int) - Method in class si.ijs.kt.clus.model.test.NodeTest
- getLineAfterTree() - Method in class si.ijs.kt.clus.model.io.ClusTreeReader
- getLineNumber() - Method in class si.ijs.kt.clus.model.io.ClusTreeReader
- getLinTargetDim(int) - Method in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
-
Returns target dimension for linear term with this index.
- getLoadNeighboursFiles() - Method in class si.ijs.kt.clus.main.settings.section.SettingsKNN
- getLoggingProperties() - Method in class si.ijs.kt.clus.main.settings.section.SettingsGeneral
- getM5PruningMult() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- getMacroAvgPrecision() - Method in class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy
- getMacroPrecision(int) - Method in class si.ijs.kt.clus.error.mlc.MacroPrecision
- getMacroRecall(int) - Method in class si.ijs.kt.clus.error.mlc.MacroRecall
- getMainArg(int) - Method in class si.ijs.kt.clus.util.jeans.util.cmdline.CMDLineArgs
- getMainTarget() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSIT
- getMajorityClass(int) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
-
Returns the majority class for a given attribute.
- getMajorityClass(int) - Method in class si.ijs.kt.clus.statistic.KnnMlcStat
-
Computes the class value with the highest probability, for each label.
- getMajorityClassDiff(int, ClassificationStat) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getMax() - Method in class si.ijs.kt.clus.util.jeans.math.SingleStat
- getMaxDepth() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- getMaxDepth() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- getMaxErrorConstraint(int) - Method in class si.ijs.kt.clus.main.settings.section.SettingsConstraints
- getMaxErrorConstraintNumber() - Method in class si.ijs.kt.clus.main.settings.section.SettingsConstraints
- getMaxErrorConstraintVector() - Method in class si.ijs.kt.clus.main.settings.section.SettingsConstraints
- getMaxGradients(int) - Method in class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
-
Return the gradients with maximum absolute value.
- getMaxIndex() - Method in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- getMaxIndex(ArrayList) - Static method in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- getMaxK() - Method in class si.ijs.kt.clus.algo.kNN.KnnModel
- getMaxK(int[]) - Static method in class si.ijs.kt.clus.algo.kNN.KnnClassifier
- getMaxLeafDepth() - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- getMaxLeafDepth() - Method in class si.ijs.kt.clus.ext.optiontree.ClusSplitNode
- getMaxLeafDepth() - Method in interface si.ijs.kt.clus.ext.optiontree.Node
- getMaxLeafDepth() - Method in class si.ijs.kt.clus.util.jeans.tree.MyNode
- getMaxNbBags() - Static method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce
-
Maximum number of bags for memory optimization
- getMaxNbIterations() - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ClusReliefFeatureRanking
- getMaxNbStats() - Method in class si.ijs.kt.clus.data.ClusSchema
- getMaxNbStats() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- getMaxNbStats() - Method in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- getMaxNbStats() - Method in class si.ijs.kt.clus.data.type.primitive.NumericAttrType
- getMaxPoissonIterations() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
Number of iterations in org.apache.commons.math4.distribution.PoissonDistribution
- getMaxRuleCardinality() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
Expected cardinality (excluding default rule)
- getMaxRulesNb() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- getMaxSize() - Method in class si.ijs.kt.clus.main.settings.section.SettingsConstraints
- getMaxSize() - Method in class si.ijs.kt.clus.pruning.SizeConstraintPruning
- getMaxTuples() - Method in class si.ijs.kt.clus.algo.kNN.methods.kdTree.KDTree
- getMaxValue() - Method in class si.ijs.kt.clus.data.type.primitive.IndexAttrType
- getMaxWidth() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeam
- getMaxWidth() - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustive
- getMean() - Method in class si.ijs.kt.clus.util.jeans.math.SingleStat
- getMean(double[]) - Static method in class si.ijs.kt.clus.ext.semisupervised.Helper
- getMean(int) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimRegrStat
- getMean(int) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- getMean(int) - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- getMean(int) - Method in class si.ijs.kt.clus.statistic.RegressionStatBinaryNomiss
- getMean(int) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- getMean(int) - Method in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
- getMeanBranch(boolean[]) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- getMeanBranch(boolean[], SingleStat) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- getMedian() - Method in class si.ijs.kt.clus.algo.kNN.methods.vpTree.VPNode
- getMedianThreshold() - Method in class si.ijs.kt.clus.ext.ensemble.ClusBoostingForest
- getMemory() - Static method in class si.ijs.kt.clus.util.ResourceInfo
- getMemorySize() - Static method in class si.ijs.kt.clus.util.ResourceInfo
- getMEstimate() - Method in class si.ijs.kt.clus.main.settings.section.SettingsNominal
- getMicroFOne(int) - Method in class si.ijs.kt.clus.error.mlc.MicroFOne
- getMicroPrecision(int) - Method in class si.ijs.kt.clus.error.mlc.MicroPrecision
- getMicroRecall(int) - Method in class si.ijs.kt.clus.error.mlc.MicroRecall
- getMin() - Method in class si.ijs.kt.clus.util.jeans.math.SingleStat
- getMinDepth() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- getMinimalKnownWeight() - Method in class si.ijs.kt.clus.main.settings.section.SettingsModel
- getMinimalNbExamples() - Method in class si.ijs.kt.clus.main.settings.section.SettingsModel
- getMinimalWeight() - Method in class si.ijs.kt.clus.main.settings.section.SettingsModel
- getMinIndex() - Method in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- getMinIndex(ArrayList) - Static method in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- getMinPWDistanceBetween(int[], int[]) - Method in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- getMinValue() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeam
- getMisclassificationError(ArrayList<RowData[]>, int) - Static method in class si.ijs.kt.clus.addon.sit.Evaluator
- getMisclassificationError(RowData[], int) - Static method in class si.ijs.kt.clus.addon.sit.Evaluator
- getMissingClusteringAttrHandling() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- getMissingTargetAttrHandling() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- getMissingTargetHandling() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRelief
- getMissingTargets() - Method in class si.ijs.kt.clus.data.rows.DataTuple
-
Returns the indices of the targets with missing values.
- getMissingTargets() - Method in class si.ijs.kt.clus.data.rows.RowData
- getMissStat() - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- getMissStat() - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- getMLC() - Method in class si.ijs.kt.clus.main.settings.Settings
- getMlcCountSmoother() - Method in class si.ijs.kt.clus.main.settings.section.SettingsKNN
- getModel() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- getModel() - Method in class si.ijs.kt.clus.ext.ensemble.container.OneBagResults
- getModel() - Method in class si.ijs.kt.clus.main.settings.Settings
- getModel() - Method in class si.ijs.kt.clus.model.ClusModelInfo
- getModel(int) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- getModel(int) - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- getModel(int) - Method in class si.ijs.kt.clus.model.io.ClusModelCollectionIO
- getModel(String) - Method in class si.ijs.kt.clus.model.io.ClusModelCollectionIO
- getModelComponent() - Method in class si.ijs.kt.clus.error.ContingencyTable
- getModelError() - Method in class si.ijs.kt.clus.error.AbsoluteError
- getModelError() - Method in class si.ijs.kt.clus.error.Accuracy
- getModelError() - Method in class si.ijs.kt.clus.error.AvgDistancesError
- getModelError() - Method in class si.ijs.kt.clus.error.ClusSumError
- getModelError() - Method in class si.ijs.kt.clus.error.common.ClusError
- getModelError() - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreWrapper
- getModelError() - Method in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- getModelError() - Method in class si.ijs.kt.clus.error.hmlc.HierLevelAccuracy
- getModelError() - Method in class si.ijs.kt.clus.error.hmlc.HierRMSError
- getModelError() - Method in class si.ijs.kt.clus.error.mlc.AveragePrecision
- getModelError() - Method in class si.ijs.kt.clus.error.mlc.Coverage
- getModelError() - Method in class si.ijs.kt.clus.error.mlc.HammingLoss
- getModelError() - Method in class si.ijs.kt.clus.error.mlc.MacroFOne
- getModelError() - Method in class si.ijs.kt.clus.error.mlc.MacroPrecision
- getModelError() - Method in class si.ijs.kt.clus.error.mlc.MacroRecall
- getModelError() - Method in class si.ijs.kt.clus.error.mlc.MicroFOne
- getModelError() - Method in class si.ijs.kt.clus.error.mlc.MicroPrecision
- getModelError() - Method in class si.ijs.kt.clus.error.mlc.MicroRecall
- getModelError() - Method in class si.ijs.kt.clus.error.mlc.MLAccuracy
- getModelError() - Method in class si.ijs.kt.clus.error.mlc.MLaverageAUPRC
- getModelError() - Method in class si.ijs.kt.clus.error.mlc.MLaverageAUROC
- getModelError() - Method in class si.ijs.kt.clus.error.mlc.MLFOneMeasure
- getModelError() - Method in class si.ijs.kt.clus.error.mlc.MLpooledAUPRC
- getModelError() - Method in class si.ijs.kt.clus.error.mlc.MLPrecision
- getModelError() - Method in class si.ijs.kt.clus.error.mlc.MLRecall
- getModelError() - Method in class si.ijs.kt.clus.error.mlc.MLROCAndPRCurve
- getModelError() - Method in class si.ijs.kt.clus.error.mlc.MLweightedAUPRC
- getModelError() - Method in class si.ijs.kt.clus.error.mlc.OneError
- getModelError() - Method in class si.ijs.kt.clus.error.mlc.RankingLoss
- getModelError() - Method in class si.ijs.kt.clus.error.mlc.SubsetAccuracy
- getModelError() - Method in class si.ijs.kt.clus.error.mlcForHmlc.MlcMeasuresForHmlc
- getModelError() - Method in class si.ijs.kt.clus.error.MSError
- getModelError() - Method in class si.ijs.kt.clus.error.MSNominalError
- getModelError() - Method in class si.ijs.kt.clus.error.PearsonCorrelation
- getModelError() - Method in class si.ijs.kt.clus.error.RMSError
- getModelError() - Method in class si.ijs.kt.clus.error.RRMSError
- getModelError() - Method in class si.ijs.kt.clus.error.sets.Accuracy
- getModelError() - Method in class si.ijs.kt.clus.error.sets.F1Score
- getModelError() - Method in class si.ijs.kt.clus.error.sets.HammingLossError
- getModelError() - Method in class si.ijs.kt.clus.error.sets.Precision
- getModelError() - Method in class si.ijs.kt.clus.error.sets.Recall
- getModelError() - Method in class si.ijs.kt.clus.error.sets.SubsetAccuracy
- getModelError() - Method in class si.ijs.kt.clus.error.WAHNDError
- getModelError(int) - Method in class si.ijs.kt.clus.error.mlc.MLROCAndPRCurve
- getModelError(int) - Method in class si.ijs.kt.clus.error.mlcForHmlc.AveragePrecision
- getModelError(int) - Method in class si.ijs.kt.clus.error.mlcForHmlc.Coverage
- getModelError(int) - Method in class si.ijs.kt.clus.error.mlcForHmlc.HammingLoss
- getModelError(int) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MacroFOne
- getModelError(int) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MacroPrecision
- getModelError(int) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MacroRecall
- getModelError(int) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MicroFOne
- getModelError(int) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MicroPrecision
- getModelError(int) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MicroRecall
- getModelError(int) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MLAccuracy
- getModelError(int) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MLaverageAUPRC
- getModelError(int) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MLaverageAUROC
- getModelError(int) - Method in interface si.ijs.kt.clus.error.mlcForHmlc.MlcHmlcSubError
- getModelError(int) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MLFOneMeasure
- getModelError(int) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MLpooledAUPRC
- getModelError(int) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MLPrecision
- getModelError(int) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MLRecall
- getModelError(int) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MLweightedAUPRC
- getModelError(int) - Method in class si.ijs.kt.clus.error.mlcForHmlc.OneError
- getModelError(int) - Method in class si.ijs.kt.clus.error.mlcForHmlc.RankingLoss
- getModelError(int) - Method in class si.ijs.kt.clus.error.mlcForHmlc.SubsetAccuracy
- getModelErrorAdditive() - Method in class si.ijs.kt.clus.error.AvgDistancesError
- getModelErrorAdditive() - Method in class si.ijs.kt.clus.error.common.ClusError
- getModelErrorComponent(int) - Method in class si.ijs.kt.clus.error.Accuracy
- getModelErrorComponent(int) - Method in class si.ijs.kt.clus.error.AvgDistancesError
- getModelErrorComponent(int) - Method in class si.ijs.kt.clus.error.common.ClusError
- getModelErrorComponent(int) - Method in interface si.ijs.kt.clus.error.common.ComponentError
- getModelErrorComponent(int) - Method in class si.ijs.kt.clus.error.ContingencyTable
- getModelErrorComponent(int) - Method in class si.ijs.kt.clus.error.hmlc.HierRMSError
- getModelErrorComponent(int) - Method in class si.ijs.kt.clus.error.MisclassificationError
- getModelErrorComponent(int) - Method in class si.ijs.kt.clus.error.mlc.MacroFOne
- getModelErrorComponent(int) - Method in class si.ijs.kt.clus.error.mlc.MacroPrecision
- getModelErrorComponent(int) - Method in class si.ijs.kt.clus.error.mlc.MacroRecall
- getModelErrorComponent(int) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MacroFOne
- getModelErrorComponent(int) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MacroPrecision
- getModelErrorComponent(int) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MacroRecall
- getModelErrorComponent(int) - Method in class si.ijs.kt.clus.error.MSError
- getModelErrorComponent(int) - Method in class si.ijs.kt.clus.error.MSNominalError
- getModelErrorComponent(int) - Method in class si.ijs.kt.clus.error.PearsonCorrelation
- getModelErrorComponent(int) - Method in class si.ijs.kt.clus.error.RelativeError
- getModelErrorComponent(int) - Method in class si.ijs.kt.clus.error.RMSError
- getModelErrorComponent(int) - Method in class si.ijs.kt.clus.error.RRMSError
- getModelErrorComponent(int) - Method in class si.ijs.kt.clus.error.sets.Accuracy
- getModelErrorComponent(int) - Method in class si.ijs.kt.clus.error.sets.F1Score
- getModelErrorComponent(int) - Method in class si.ijs.kt.clus.error.sets.HammingLossError
- getModelErrorComponent(int) - Method in class si.ijs.kt.clus.error.sets.Precision
- getModelErrorComponent(int) - Method in class si.ijs.kt.clus.error.sets.Recall
- getModelErrorComponent(int) - Method in class si.ijs.kt.clus.error.sets.SubsetAccuracy
- getModelErrorComponent(int) - Method in class si.ijs.kt.clus.error.SpearmanRankCorrelation
- getModelErrorComponent(int) - Method in class si.ijs.kt.clus.error.SpearmanRankCorrelationPerExample
- getModelErrorComponent(int) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCRandIndex
- getModelErrorStandardError() - Method in class si.ijs.kt.clus.error.common.ClusError
- getModelErrorStandardError() - Method in class si.ijs.kt.clus.error.MSError
- getModelErrorStandardError() - Method in class si.ijs.kt.clus.error.MSNominalError
- getModelErrorStandardError() - Method in class si.ijs.kt.clus.error.sets.Accuracy
- getModelErrorStandardError() - Method in class si.ijs.kt.clus.error.sets.F1Score
- getModelErrorStandardError() - Method in class si.ijs.kt.clus.error.sets.HammingLossError
- getModelErrorStandardError() - Method in class si.ijs.kt.clus.error.sets.Precision
- getModelErrorStandardError() - Method in class si.ijs.kt.clus.error.sets.Recall
- getModelErrorStandardError() - Method in class si.ijs.kt.clus.error.sets.SubsetAccuracy
- getModelIndex() - Method in class si.ijs.kt.clus.ext.ensemble.container.OneBagResults
- getModelInfo() - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageTreeModel
- getModelInfo() - Method in class si.ijs.kt.clus.algo.kNN.KnnModel
- getModelInfo() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- getModelInfo() - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- getModelInfo() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- getModelInfo() - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- getModelInfo() - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ReliefModel
- getModelInfo() - Method in class si.ijs.kt.clus.ext.ilevelc.COPKMeansModel
- getModelInfo() - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- getModelInfo() - Method in class si.ijs.kt.clus.ext.optiontree.ClusSplitNode
- getModelInfo() - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- getModelInfo() - Method in interface si.ijs.kt.clus.model.ClusModel
- getModelInfo() - Method in class si.ijs.kt.clus.model.ClusModelInfo
- getModelInfo(int) - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- getModelInfo(int) - Method in class si.ijs.kt.clus.model.io.ClusModelCollectionIO
- getModelInfoFallback(int, int) - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- getModelJSON() - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageTreeModel
- getModelJSON() - Method in class si.ijs.kt.clus.algo.kNN.KnnModel
- getModelJSON() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- getModelJSON() - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- getModelJSON() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- getModelJSON() - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- getModelJSON() - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ReliefModel
- getModelJSON() - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- getModelJSON() - Method in class si.ijs.kt.clus.ext.optiontree.ClusSplitNode
- getModelJSON() - Method in interface si.ijs.kt.clus.model.ClusModel
- getModelJSON(StatisticPrintInfo) - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageTreeModel
- getModelJSON(StatisticPrintInfo) - Method in class si.ijs.kt.clus.algo.kNN.KnnModel
- getModelJSON(StatisticPrintInfo) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- getModelJSON(StatisticPrintInfo) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- getModelJSON(StatisticPrintInfo) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- getModelJSON(StatisticPrintInfo) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- getModelJSON(StatisticPrintInfo) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ReliefModel
- getModelJSON(StatisticPrintInfo) - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- getModelJSON(StatisticPrintInfo) - Method in class si.ijs.kt.clus.ext.optiontree.ClusSplitNode
- getModelJSON(StatisticPrintInfo) - Method in interface si.ijs.kt.clus.model.ClusModel
- getModelJSON(StatisticPrintInfo, RowData) - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageTreeModel
- getModelJSON(StatisticPrintInfo, RowData) - Method in class si.ijs.kt.clus.algo.kNN.KnnModel
- getModelJSON(StatisticPrintInfo, RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- getModelJSON(StatisticPrintInfo, RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- getModelJSON(StatisticPrintInfo, RowData) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- getModelJSON(StatisticPrintInfo, RowData) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- getModelJSON(StatisticPrintInfo, RowData) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ReliefModel
- getModelJSON(StatisticPrintInfo, RowData) - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- getModelJSON(StatisticPrintInfo, RowData) - Method in class si.ijs.kt.clus.ext.optiontree.ClusSplitNode
- getModelJSON(StatisticPrintInfo, RowData) - Method in interface si.ijs.kt.clus.model.ClusModel
- getModelName(int) - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- getModelPredictions() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- getModelProcessor(int) - Method in class si.ijs.kt.clus.model.processor.ModelProcessorCollection
- getModelProcessors(int) - Method in class si.ijs.kt.clus.model.ClusModelInfo
- getModels() - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
-
Return the list of decision trees = the ensemble.
- getModelSize() - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageTreeModel
- getModelSize() - Method in class si.ijs.kt.clus.algo.kNN.KnnModel
- getModelSize() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- getModelSize() - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
How many rules in the set?
- getModelSize() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- getModelSize() - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- getModelSize() - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ReliefModel
- getModelSize() - Method in class si.ijs.kt.clus.ext.ilevelc.COPKMeansModel
- getModelSize() - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- getModelSize() - Method in class si.ijs.kt.clus.ext.optiontree.ClusSplitNode
- getModelSize() - Method in interface si.ijs.kt.clus.model.ClusModel
- getModelSize() - Method in class si.ijs.kt.clus.model.ClusModelInfo
- getModelSubspace(int) - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusEnsembleROSInfo
- getModelSubspaceBoolean(int) - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusEnsembleROSInfo
- getModelTests() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- getModelWeight(int) - Method in class si.ijs.kt.clus.ext.ensemble.ClusOOBWeights
- getMostSpecificClass() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- getMSE(ArrayList<RowData[]>, int) - Static method in class si.ijs.kt.clus.addon.sit.Evaluator
- getMSE(RowData[]) - Static method in class si.ijs.kt.clus.addon.sit.Evaluator
- getMSE(RowData[], int) - Static method in class si.ijs.kt.clus.addon.sit.Evaluator
- getMultilabelDistance() - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ClusReliefFeatureRanking
- getMultilabelDistance() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRelief
- getMultiLabelRankingMeasures() - Method in class si.ijs.kt.clus.main.settings.section.SettingsMLC
- getMultiLabelThreshold() - Method in class si.ijs.kt.clus.main.settings.section.SettingsMLC
- getMultiLabelThresholdOptimization() - Method in class si.ijs.kt.clus.main.settings.section.SettingsMLC
- getMultiScore() - Method in class si.ijs.kt.clus.Clus
- getName() - Method in class si.ijs.kt.clus.addon.sit.mtLearner.AvgLearner
- getName() - Method in class si.ijs.kt.clus.addon.sit.mtLearner.ClusLearner
- getName() - Method in class si.ijs.kt.clus.addon.sit.mtLearner.KNNLearner
- getName() - Method in interface si.ijs.kt.clus.addon.sit.mtLearner.MTLearner
- getName() - Method in class si.ijs.kt.clus.addon.sit.searchAlgorithm.AllTargets
- getName() - Method in class si.ijs.kt.clus.addon.sit.searchAlgorithm.GeneticSearch
- getName() - Method in class si.ijs.kt.clus.addon.sit.searchAlgorithm.GreedySIT
- getName() - Method in class si.ijs.kt.clus.addon.sit.searchAlgorithm.NoStopSearch
- getName() - Method in class si.ijs.kt.clus.addon.sit.searchAlgorithm.OneTarget
- getName() - Method in interface si.ijs.kt.clus.addon.sit.searchAlgorithm.SearchAlgorithm
- getName() - Method in class si.ijs.kt.clus.addon.sit.searchAlgorithm.TC
- getName() - Method in class si.ijs.kt.clus.data.attweights.ClusAttributeWeights
- getName() - Method in class si.ijs.kt.clus.data.cols.attribute.ClusAttribute
- getName() - Method in class si.ijs.kt.clus.data.io.ClusReader
- getName() - Method in enum class si.ijs.kt.clus.data.type.ClusAttrType.AttributeType
- getName() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- getName() - Method in class si.ijs.kt.clus.error.AbsoluteError
- getName() - Method in class si.ijs.kt.clus.error.Accuracy
- getName() - Method in class si.ijs.kt.clus.error.AvgDistancesError
- getName() - Method in class si.ijs.kt.clus.error.ClusSumError
- getName() - Method in class si.ijs.kt.clus.error.common.ClusError
-
Information
- getName() - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreWrapper
- getName() - Method in class si.ijs.kt.clus.error.ContingencyTable
- getName() - Method in class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy
- getName() - Method in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- getName() - Method in class si.ijs.kt.clus.error.hmlc.HierLevelAccuracy
- getName() - Method in class si.ijs.kt.clus.error.hmlc.HierRMSError
- getName() - Method in class si.ijs.kt.clus.error.ICVPairwiseDistancesError
- getName() - Method in class si.ijs.kt.clus.error.MisclassificationError
- getName() - Method in class si.ijs.kt.clus.error.mlc.AveragePrecision
- getName() - Method in class si.ijs.kt.clus.error.mlc.Coverage
- getName() - Method in class si.ijs.kt.clus.error.mlc.HammingLoss
- getName() - Method in class si.ijs.kt.clus.error.mlc.MacroFOne
- getName() - Method in class si.ijs.kt.clus.error.mlc.MacroPrecision
- getName() - Method in class si.ijs.kt.clus.error.mlc.MacroRecall
- getName() - Method in class si.ijs.kt.clus.error.mlc.MicroFOne
- getName() - Method in class si.ijs.kt.clus.error.mlc.MicroPrecision
- getName() - Method in class si.ijs.kt.clus.error.mlc.MicroRecall
- getName() - Method in class si.ijs.kt.clus.error.mlc.MLAccuracy
- getName() - Method in class si.ijs.kt.clus.error.mlc.MLaverageAUPRC
- getName() - Method in class si.ijs.kt.clus.error.mlc.MLaverageAUROC
- getName() - Method in class si.ijs.kt.clus.error.mlc.MLFOneMeasure
- getName() - Method in class si.ijs.kt.clus.error.mlc.MLpooledAUPRC
- getName() - Method in class si.ijs.kt.clus.error.mlc.MLPrecision
- getName() - Method in class si.ijs.kt.clus.error.mlc.MLRecall
- getName() - Method in class si.ijs.kt.clus.error.mlc.MLROCAndPRCurve
- getName() - Method in class si.ijs.kt.clus.error.mlc.MLweightedAUPRC
- getName() - Method in class si.ijs.kt.clus.error.mlc.OneError
- getName() - Method in class si.ijs.kt.clus.error.mlc.RankingLoss
- getName() - Method in class si.ijs.kt.clus.error.mlc.SubsetAccuracy
- getName() - Method in class si.ijs.kt.clus.error.mlcForHmlc.AveragePrecision
- getName() - Method in class si.ijs.kt.clus.error.mlcForHmlc.Coverage
- getName() - Method in class si.ijs.kt.clus.error.mlcForHmlc.HammingLoss
- getName() - Method in class si.ijs.kt.clus.error.mlcForHmlc.MacroFOne
- getName() - Method in class si.ijs.kt.clus.error.mlcForHmlc.MacroPrecision
- getName() - Method in class si.ijs.kt.clus.error.mlcForHmlc.MacroRecall
- getName() - Method in class si.ijs.kt.clus.error.mlcForHmlc.MicroFOne
- getName() - Method in class si.ijs.kt.clus.error.mlcForHmlc.MicroPrecision
- getName() - Method in class si.ijs.kt.clus.error.mlcForHmlc.MicroRecall
- getName() - Method in class si.ijs.kt.clus.error.mlcForHmlc.MLAccuracy
- getName() - Method in class si.ijs.kt.clus.error.mlcForHmlc.MLaverageAUPRC
- getName() - Method in class si.ijs.kt.clus.error.mlcForHmlc.MLaverageAUROC
- getName() - Method in interface si.ijs.kt.clus.error.mlcForHmlc.MlcHmlcSubError
- getName() - Method in class si.ijs.kt.clus.error.mlcForHmlc.MlcMeasuresForHmlc
- getName() - Method in class si.ijs.kt.clus.error.mlcForHmlc.MLFOneMeasure
- getName() - Method in class si.ijs.kt.clus.error.mlcForHmlc.MLpooledAUPRC
- getName() - Method in class si.ijs.kt.clus.error.mlcForHmlc.MLPrecision
- getName() - Method in class si.ijs.kt.clus.error.mlcForHmlc.MLRecall
- getName() - Method in class si.ijs.kt.clus.error.mlcForHmlc.MLweightedAUPRC
- getName() - Method in class si.ijs.kt.clus.error.mlcForHmlc.OneError
- getName() - Method in class si.ijs.kt.clus.error.mlcForHmlc.RankingLoss
- getName() - Method in class si.ijs.kt.clus.error.mlcForHmlc.SubsetAccuracy
- getName() - Method in class si.ijs.kt.clus.error.MSError
- getName() - Method in class si.ijs.kt.clus.error.MSNominalError
- getName() - Method in class si.ijs.kt.clus.error.NominalCorrelation
- getName() - Method in class si.ijs.kt.clus.error.PearsonCorrelation
- getName() - Method in class si.ijs.kt.clus.error.RelativeError
- getName() - Method in class si.ijs.kt.clus.error.RMSError
- getName() - Method in class si.ijs.kt.clus.error.RRMSError
- getName() - Method in class si.ijs.kt.clus.error.sets.Accuracy
- getName() - Method in class si.ijs.kt.clus.error.sets.F1Score
- getName() - Method in class si.ijs.kt.clus.error.sets.HammingLossError
- getName() - Method in class si.ijs.kt.clus.error.sets.Precision
- getName() - Method in class si.ijs.kt.clus.error.sets.Recall
- getName() - Method in class si.ijs.kt.clus.error.sets.SubsetAccuracy
- getName() - Method in class si.ijs.kt.clus.error.SpearmanRankCorrelation
- getName() - Method in class si.ijs.kt.clus.error.SpearmanRankCorrelationPerExample
- getName() - Method in class si.ijs.kt.clus.error.WAHNDError
- getName() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristicError
- getName() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristicMEstimate
- getName() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristicMorishita
- getName() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristicSS
- getName() - Method in class si.ijs.kt.clus.ext.hierarchical.HierNodeWeights
- getName() - Method in class si.ijs.kt.clus.ext.hierarchicalmtr.ClusHMTRNode
- getName() - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCRandIndex
- getName() - Method in class si.ijs.kt.clus.ext.semisupervised.ModifiedGainHeuristic
- getName() - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesSignificantChangeTesterXVAL
- getName() - Method in class si.ijs.kt.clus.heuristic.ClusHeuristic
- getName() - Method in class si.ijs.kt.clus.heuristic.GainHeuristic
- getName() - Method in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristic
- getName() - Method in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- getName() - Method in class si.ijs.kt.clus.heuristic.GISHeuristic
- getName() - Method in class si.ijs.kt.clus.heuristic.hierarchical.ClusRuleHeuristicHierarchical
- getName() - Method in class si.ijs.kt.clus.heuristic.ReducedErrorHeuristic
- getName() - Method in class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicDispersionAdt
- getName() - Method in class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicDispersionMlt
- getName() - Method in class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicError
- getName() - Method in class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicMEstimate
- getName() - Method in class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicRDispersionAdt
- getName() - Method in class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicRDispersionMlt
- getName() - Method in class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicSSD
- getName() - Method in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristic
- getName() - Method in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristicCompatibility
- getName() - Method in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristicEfficient
- getName() - Method in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristicInclMissingValues
- getName() - Method in class si.ijs.kt.clus.model.ClusModelInfo
- getName() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNode
- getName() - Method in class si.ijs.kt.clus.util.jeans.tree.BinaryNode
- getName() - Method in class si.ijs.kt.clus.util.tools.manual.ManualEntry
- getName(int) - Method in class si.ijs.kt.clus.util.jeans.io.range.NominalType
- getName(String) - Static method in class si.ijs.kt.clus.util.jeans.util.FileUtil
-
Return the Name of a given File (without the Extension).
- getName(ClusAttrType[]) - Method in class si.ijs.kt.clus.data.attweights.ClusAttributeWeights
- getName(ClusAttrType[]) - Method in class si.ijs.kt.clus.data.attweights.ClusNormalizedAttributeWeights
- getNbAllAttrUse(ClusAttrType.AttributeUseType) - Method in class si.ijs.kt.clus.data.ClusSchema
- getNbAttributes() - Method in class si.ijs.kt.clus.data.attweights.ClusAttributeWeights
- getNbAttributes() - Method in class si.ijs.kt.clus.data.ClusSchema
-
Methods for retrieving attribute types *
- getNbAttributes() - Method in class si.ijs.kt.clus.data.cols.ColTarget
- getNbAttributes() - Method in class si.ijs.kt.clus.data.io.ClusView
- getNbAttributes() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getNbAttributes() - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- getNbBaggingSets() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- getNbBits() - Method in class si.ijs.kt.clus.data.type.BitwiseNominalAttrType
- getNbCandidates() - Method in class si.ijs.kt.clus.ext.optiontree.FindBestTests
- getNbChildren() - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusROSModelInfo
- getNbChildren() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- getNbChildren() - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- getNbChildren() - Method in interface si.ijs.kt.clus.ext.optiontree.Node
- getNbChildren() - Method in class si.ijs.kt.clus.model.test.NodeTest
- getNbChildren() - Method in class si.ijs.kt.clus.util.jeans.tree.BinaryNode
- getNbChildren() - Method in class si.ijs.kt.clus.util.jeans.tree.MyNode
- getNbChildren() - Method in interface si.ijs.kt.clus.util.jeans.tree.Node
- getNbChildren() - Method in class si.ijs.kt.clus.util.jeans.tree.SimpleNode
- getNbChildren() - Method in class si.ijs.kt.clus.util.jeans.tree.VisitableNode
- getNbClasses() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- getNbClasses(int) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getNbClusteringAttributes() - Method in class si.ijs.kt.clus.data.ClusSchema
- getNbClusters() - Method in class si.ijs.kt.clus.heuristic.EncodingCost
- getNbCover() - Method in class si.ijs.kt.clus.error.common.ClusError
- getNbCover() - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- getNbDescriptiveAttributes() - Method in class si.ijs.kt.clus.data.ClusSchema
- getNbDoubles() - Method in class si.ijs.kt.clus.data.ClusSchema
- getNbElements() - Method in class si.ijs.kt.clus.selection.XValGroup
- getNbErrors() - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- getNbExamples() - Method in class si.ijs.kt.clus.data.rows.MemoryTupleIterator
- getNbExamples() - Method in class si.ijs.kt.clus.error.common.ClusError
- getNbExamples() - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- getNbExamples() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getNbFeatureRankings() - Method in class si.ijs.kt.clus.ext.featureRanking.ClusFeatureRanking
- getNbFolds() - Method in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- getNbFolds() - Method in class si.ijs.kt.clus.selection.XValMainSelection
- getNbHMTRAttributes() - Method in class si.ijs.kt.clus.data.ClusSchema
- getNbIntervals() - Method in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- getNbInts() - Method in class si.ijs.kt.clus.data.ClusSchema
- getNbIterations() - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ReliefModel
- getNbLeaf() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- getNbLeaves() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- getNbLeaves() - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- getNbLeaves() - Method in interface si.ijs.kt.clus.ext.optiontree.Node
- getNbLevels() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- getNbLines() - Method in class si.ijs.kt.clus.model.test.FakeTest
- getNbLines() - Method in class si.ijs.kt.clus.model.test.NodeTest
- getNbLiterals() - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
How many literals in all of the rules.
- getNbMainArgs() - Method in class si.ijs.kt.clus.addon.hmc.ClusAmandaRules.ClusAmandaRules
- getNbMainArgs() - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageSingleClass
- getNbMainArgs() - Method in class si.ijs.kt.clus.addon.hmc.HMCNodeWiseModels.hmcnwmodels.HMCNodeWiseModels
- getNbMainArgs() - Method in class si.ijs.kt.clus.addon.sit.Sit
- getNbMainArgs() - Method in class si.ijs.kt.clus.Clus
- getNbMainArgs() - Method in class si.ijs.kt.clus.util.jeans.util.cmdline.CMDLineArgs
- getNbMainArgs() - Method in interface si.ijs.kt.clus.util.jeans.util.cmdline.CMDLineArgsProvider
- getNbMissing() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- getNbMissingTargets() - Method in class si.ijs.kt.clus.data.rows.DataTuple
-
Returns the number of missing values among target attributes
- getNbModels() - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageNodeWiseModels
- getNbModels() - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- getNbModels() - Method in class si.ijs.kt.clus.main.ClusModelInfoList
-
************************************************************************* Iterating over models *************************************************************************
- getNbModels() - Method in class si.ijs.kt.clus.model.ClusModelInfo
- getNbModels() - Method in class si.ijs.kt.clus.model.io.ClusModelCollectionIO
- getNbModelsOld() - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
-
Deprecated.
- getNbNeg() - Method in class si.ijs.kt.clus.error.BinaryPredictionList
- getNbNeighbours() - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ReliefModel
- getNbNodes() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- getNbNodes() - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- getNbNodes() - Method in interface si.ijs.kt.clus.ext.optiontree.Node
- getNbNodes() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileSection
- getNbNom() - Method in class si.ijs.kt.clus.data.cols.ColTarget
- getNbNominalAttributes() - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getNbNominalAttributes() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getNbNominalAttributes() - Method in class si.ijs.kt.clus.statistic.CombStat
- getNbNominalAttrUse(ClusAttrType.AttributeUseType) - Method in class si.ijs.kt.clus.data.ClusSchema
- getNbNominalDescriptiveAttributes() - Method in class si.ijs.kt.clus.data.ClusSchema
- getNbNominalTargetAttributes() - Method in class si.ijs.kt.clus.data.ClusSchema
- getNbNonZero() - Method in interface si.ijs.kt.clus.util.jeans.math.matrix.MySparseVector
- getNbNum() - Method in class si.ijs.kt.clus.data.cols.ColTarget
- getNbNumericAttributes() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getNbNumericAttributes() - Method in class si.ijs.kt.clus.statistic.CombStat
- getNbNumericAttributes() - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- getNbNumericAttrUse(ClusAttrType.AttributeUseType) - Method in class si.ijs.kt.clus.data.ClusSchema
- getNbNumericDescriptiveAttributes() - Method in class si.ijs.kt.clus.data.ClusSchema
- getNbNumericTargetAttributes() - Method in class si.ijs.kt.clus.data.ClusSchema
- getNbObjects() - Method in class si.ijs.kt.clus.data.ClusSchema
- getNbOfInstances() - Method in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
- getNbOfTargets() - Method in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
- getNbOnes() - Method in class si.ijs.kt.clus.util.jeans.list.BitList
- getNbOptionNodes() - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- getNbOptions() - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- getNbParents() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- getNbPasses() - Method in class si.ijs.kt.clus.data.rows.DataPreprocs
- getNbPasses() - Method in interface si.ijs.kt.clus.data.rows.TuplePreproc
- getNbPasses() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchyPreproc
- getNbPos() - Method in class si.ijs.kt.clus.error.BinaryPredictionList
- getNbPosExamplesCheck() - Method in class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy
- getNbPredictedClasses() - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- getNbRandomAttrSelected() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- getNbRandomAttrString() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- getNbRandomTargetAttrString() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- getNbResults() - Method in class si.ijs.kt.clus.ext.hierarchical.HierClassTresholdPruner
- getNbResults() - Method in class si.ijs.kt.clus.ext.hierarchical.HierRemoveInsigClasses
- getNbResults() - Method in class si.ijs.kt.clus.pruning.BottomUpPruningVSB
- getNbResults() - Method in class si.ijs.kt.clus.pruning.C45Pruner
- getNbResults() - Method in class si.ijs.kt.clus.pruning.CartPruning
- getNbResults() - Method in class si.ijs.kt.clus.pruning.EncodingCostPruning
- getNbResults() - Method in class si.ijs.kt.clus.pruning.M5Pruner
- getNbResults() - Method in class si.ijs.kt.clus.pruning.M5PrunerMulti
- getNbResults() - Method in class si.ijs.kt.clus.pruning.PruneTree
- getNbResults() - Method in class si.ijs.kt.clus.pruning.SequencePruningVSB
- getNbResults() - Method in class si.ijs.kt.clus.pruning.SizeConstraintPruning
- getNbRows() - Method in class si.ijs.kt.clus.Clus
- getNbRows() - Method in class si.ijs.kt.clus.data.ClusData
- getNbRows() - Method in class si.ijs.kt.clus.data.cols.ColTarget
- getNbRows() - Method in class si.ijs.kt.clus.data.type.primitive.IndexAttrType
- getNbRows() - Method in class si.ijs.kt.clus.selection.ClusSelection
- getNbRows() - Method in class si.ijs.kt.clus.selection.XValMainSelection
- getNbRuns() - Method in class si.ijs.kt.clus.main.ClusSummary
- getNbSections() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileSectionGroup
- getNbSelected() - Method in class si.ijs.kt.clus.selection.BagSelection
- getNbSelected() - Method in class si.ijs.kt.clus.selection.BitMapSelection
- getNbSelected() - Method in class si.ijs.kt.clus.selection.ClusSelection
- getNbSelected() - Method in class si.ijs.kt.clus.selection.OOBSelection
- getNbSelected() - Method in class si.ijs.kt.clus.selection.OverSample
- getNbSelected() - Method in class si.ijs.kt.clus.selection.RandomSelection
- getNbSelected() - Method in class si.ijs.kt.clus.selection.XValSelection
- getNbSelected(int) - Method in class si.ijs.kt.clus.selection.XValMainSelection
- getNbStatisticComponents() - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreStat
- getNbStatisticComponents() - Method in class si.ijs.kt.clus.statistic.BitVectorStat
- getNbStatisticComponents() - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getNbStatisticComponents() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getNbStatisticComponents() - Method in class si.ijs.kt.clus.statistic.CombStat
- getNbStatisticComponents() - Method in interface si.ijs.kt.clus.statistic.ComponentStatistic
- getNbStatisticComponents() - Method in class si.ijs.kt.clus.statistic.GeneticDistanceStat
- getNbStatisticComponents() - Method in class si.ijs.kt.clus.statistic.RegressionStat
- getNbStatisticComponents() - Method in class si.ijs.kt.clus.statistic.RegressionStatBinaryNomiss
- getNbTarget() - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScore
- getNbTargetAttributes() - Method in class si.ijs.kt.clus.data.ClusSchema
- getNbTargetAttributes() - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.classification.ClassesProbabilities
- getNbTargetAttributes() - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.PredictionConfidence
- getNbTotal() - Method in class si.ijs.kt.clus.error.common.ClusError
- getNbTotal() - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- getNbTrees() - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- getNbTrees(int) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce
- getNbTuples() - Method in class si.ijs.kt.clus.statistic.BitVectorStat
- getNbUnlabeled() - Method in class si.ijs.kt.clus.data.rows.RowData
-
Returns the number of unlabeled examples (example is considered unlabeled if all of its target attributes are missing)
- getNbValues() - Method in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
-
Number of possible values for nominal type.
- getNbValues() - Method in class si.ijs.kt.clus.model.test.SubsetTest
- getNbValuesInclMissing() - Method in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- getNecessaryDescriptiveAttributes(RowData) - Static method in class si.ijs.kt.clus.algo.kNN.KnnClassifier
- getNew(int) - Method in class si.ijs.kt.clus.ext.ensemble.ClusOOBWeights
- getNew(int) - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusROSForestInfo
- getNew(int, ClusROSForestInfo) - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusROSOOBWeights
- getNext() - Method in class si.ijs.kt.clus.util.jeans.util.list.MyListIter
- getNextChar() - Method in class si.ijs.kt.clus.data.io.ClusReader
- getNextChar(Reader) - Method in class si.ijs.kt.clus.data.io.ClusReader
- getNextCharNoSpace() - Method in class si.ijs.kt.clus.data.io.ClusReader
- getNextElem() - Method in class si.ijs.kt.clus.util.jeans.util.list.MyList
- getNextNode() - Method in class si.ijs.kt.clus.util.jeans.tree.BottomLevelIterator
- getNextNode() - Method in class si.ijs.kt.clus.util.jeans.tree.CompleteTreeIterator
- getNextNode() - Method in class si.ijs.kt.clus.util.jeans.tree.LeafTreeIterator
- getNode() - Method in class si.ijs.kt.clus.ext.ensemble.container.NodeDepthPair
- getNode() - Method in class si.ijs.kt.clus.util.jeans.tree.TreeIterator
- getNode(int) - Method in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- getNode(String) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileSection
- getNodeData(RowData, int) - Method in class si.ijs.kt.clus.addon.hmc.HMCNodeWiseModels.hmcnwmodels.HMCNodeWiseModels
- getNodes() - Method in class si.ijs.kt.clus.data.cols.ColTarget
- getNodes() - Method in class si.ijs.kt.clus.ext.hierarchicalmtr.ClusHMTRHierarchy
- getNodes() - Method in class si.ijs.kt.clus.ext.optxval.OptXValBinTree
- getNodes() - Method in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- getNodes() - Method in class si.ijs.kt.clus.ext.optxval.OptXValNode
- getNodes() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileSection
- getNominal() - Method in class si.ijs.kt.clus.main.settings.Settings
- getNominal() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- getNominal() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector
- getNominal(int) - Method in class si.ijs.kt.clus.data.ClusData
- getNominal(int) - Method in class si.ijs.kt.clus.data.cols.ColTarget
- getNominal(int) - Method in class si.ijs.kt.clus.data.rows.RowData
- getNominal(int) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- getNominal(int) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector
- getNominal(DataTuple) - Method in class si.ijs.kt.clus.data.type.BitwiseNominalAttrType
- getNominal(DataTuple) - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- getNominal(DataTuple) - Method in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- getNominalAttrUse(ClusAttrType.AttributeUseType) - Method in class si.ijs.kt.clus.data.ClusSchema
- getNominalPred() - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreStat
- getNominalPred() - Method in class si.ijs.kt.clus.statistic.BitVectorStat
- getNominalPred() - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getNominalPred() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getNominalPred() - Method in class si.ijs.kt.clus.statistic.CombStat
- getNominalPred() - Method in class si.ijs.kt.clus.statistic.GeneticDistanceStat
- getNominalString(int) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- getNominalString(int) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector
- getNominalType() - Method in class si.ijs.kt.clus.data.cols.attribute.NominalAttrBase
- getNominalVector() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector
- getNonSparseAttributes() - Method in class si.ijs.kt.clus.data.ClusSchema
- getNormalization() - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.PredictionConfidence
- getNormalizationWeight(ClusAttrType) - Method in class si.ijs.kt.clus.data.attweights.ClusNormalizedAttributeWeights
- getNormalizationWeights() - Method in class si.ijs.kt.clus.data.attweights.ClusNormalizedAttributeWeights
- getNormalizationWeights() - Method in class si.ijs.kt.clus.main.ClusStatManager
- getNormalizationWeights() - Method in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
- getNormalizeData() - Method in class si.ijs.kt.clus.main.settings.section.SettingsData
-
Do we want to normalize the data
- getNormFactor(int) - Method in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
-
For normalization during optimization, the scaling factor for each of the targets.
- getNoRootIter() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- getNumberOfChildren() - Method in class si.ijs.kt.clus.ext.hierarchicalmtr.ClusHMTRNode
- getNumberOfPossibleValues() - Method in class si.ijs.kt.clus.data.type.complex.SetAttrType
- getNumberOfSampledRuleSets() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
Number of generated rule sets
- getNumberOfThreads() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- getNumberOfTreesSupervisionOptimisation(int) - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
-
If the number of trees for internal cross-validation was specified, this number is returned.
- getNumberOfViolatedConstraints() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- getNumberOfViolatedConstraintsRCCC() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- getNumberSubmodels() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- getNumeric(int) - Method in class si.ijs.kt.clus.data.ClusData
- getNumeric(int) - Method in class si.ijs.kt.clus.data.cols.ColTarget
- getNumeric(int) - Method in class si.ijs.kt.clus.data.rows.RowData
- getNumeric(DataTuple) - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- getNumeric(DataTuple) - Method in class si.ijs.kt.clus.data.type.primitive.NumericAttrType
- getNumeric(DataTuple) - Method in class si.ijs.kt.clus.data.type.primitive.SparseNumericAttrType
- getNumericAttrUse(ClusAttrType.AttributeUseType) - Method in class si.ijs.kt.clus.data.ClusSchema
-
Returns all the numeric attributes that are of the given type.
- getNumericPred() - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreStat
- getNumericPred() - Method in class si.ijs.kt.clus.statistic.BitVectorStat
- getNumericPred() - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getNumericPred() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getNumericPred() - Method in class si.ijs.kt.clus.statistic.CombStat
- getNumericPred() - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- getNumNeightbours() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- getNumType() - Method in class si.ijs.kt.clus.model.test.ClusRuleConstraintInduceTest
- getNumType() - Method in class si.ijs.kt.clus.model.test.NumericTest
- getNumVar() - Method in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
-
Number of variables to be optimized
- getObj1() - Method in class si.ijs.kt.clus.util.jeans.util.compound.DuoObject
- getObj2() - Method in class si.ijs.kt.clus.util.jeans.util.compound.DuoObject
- getObject() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamTreeElem
- getObject() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamTreeElemOld
- getObject() - Method in class si.ijs.kt.clus.util.jeans.util.compound.DoubleObject
- getObject() - Method in class si.ijs.kt.clus.util.jeans.util.compound.IntObject
- getObjects() - Method in class si.ijs.kt.clus.data.rows.DataTuple
- getObjects() - Method in class si.ijs.kt.clus.util.jeans.util.MyArray
- getObjVal(int) - Method in class si.ijs.kt.clus.data.rows.DataTuple
- getOnlyTargets(int[]) - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusEnsembleROSInfo
- getOOBCounts() - Method in class si.ijs.kt.clus.selection.OOBSelection
- getOOBError(RowData, int) - Method in class si.ijs.kt.clus.ext.semisupervised.ClusSemiSupervisedInduce
-
TODO: THIS SHOULD BE DELETED AND RE-IMPLEMENTED TO WORK DIRECTLY IN CLUS FOREST CLASS Return Out of Bag Error Estimate of the ClusForest model.
- getOOBErrorCalculation() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- getOOBVotes(DataTuple) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
-
Votes from models for which the tuple was Out Of Bag.
- getOppositeAlternatives() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- getOptAddLinearTerms() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
How we add linear terms to rule set.
- getOptDECrossProb() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- getOptDELossFunction() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
Type of Loss function for DE optimization
- getOptDENumEval() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- getOptDEPopSize() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- getOptDEProbMutationNonZero() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
DE A reverse for the zeroing.
- getOptDEProbMutationZero() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
DE A probability to mutate certain value to zero.
- getOptDERegulPower() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
Power for regularization parameter
- getOptDESeed() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- getOptDEWeight() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- getOptGDEarlyStopAmount() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
Amount of data used for early stopping check.
- getOptGDEarlyStopTreshold() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
Early stopping criterion treshold
- getOptGDEarlyTTryStop() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
GD When running from T=1 down, do we stop if the error starts to increase.
- getOptGDExternalMethod() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
What method we use for external GD optimization algorithm
- getOptGDGradTreshold() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
GD Treshold [0,1] for changing the gradient.
- getOptGDLossFunction() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
GD The used loss function
- getOptGDMaxIter() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
GD Maximum amount of iterations
- getOptGDMaxNbWeights() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
GD Maximum number of nonzero weights.
- getOptGDMTGradientCombine() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
GD How to combine multiple targets to single gradient value for step taking
- getOptGDNbOfStepSizeReduce() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
GD When early stopping is found, how many times we try to reduce the step size and try again Default is 0, but can be Infinity.
- getOptGDNbOfTParameterTry() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
GD How many different parameter combinations we try for T.
- getOptGDStepSize() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
GD Step size ]0,1] for each iteration.
- getOptHuberAlpha() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
For Huber 1962 loss function an alpha value for outliers has to be given.
- getOptionArgArities() - Method in class si.ijs.kt.clus.addon.hmc.ClusAmandaRules.ClusAmandaRules
- getOptionArgArities() - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageSingleClass
- getOptionArgArities() - Method in class si.ijs.kt.clus.addon.hmc.HMCNodeWiseModels.hmcnwmodels.HMCNodeWiseModels
- getOptionArgArities() - Method in class si.ijs.kt.clus.addon.sit.Sit
- getOptionArgArities() - Method in class si.ijs.kt.clus.Clus
- getOptionArgArities() - Method in interface si.ijs.kt.clus.util.jeans.util.cmdline.CMDLineArgsProvider
- getOptionArgs() - Method in class si.ijs.kt.clus.addon.hmc.ClusAmandaRules.ClusAmandaRules
- getOptionArgs() - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageSingleClass
- getOptionArgs() - Method in class si.ijs.kt.clus.addon.hmc.HMCNodeWiseModels.hmcnwmodels.HMCNodeWiseModels
- getOptionArgs() - Method in class si.ijs.kt.clus.addon.sit.Sit
- getOptionArgs() - Method in class si.ijs.kt.clus.Clus
- getOptionArgs() - Method in interface si.ijs.kt.clus.util.jeans.util.cmdline.CMDLineArgsProvider
- getOptionDecayFactor() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOptionTree
- getOptionDouble(String, double, double) - Method in class si.ijs.kt.clus.util.jeans.util.cmdline.CMDLineArgs
- getOptionEpsilon() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOptionTree
- getOptionInteger(String) - Method in class si.ijs.kt.clus.util.jeans.util.cmdline.CMDLineArgs
- getOptionInteger(String, int, int) - Method in class si.ijs.kt.clus.util.jeans.util.cmdline.CMDLineArgs
- getOptionList(String) - Method in class si.ijs.kt.clus.util.jeans.util.cmdline.CMDLineArgs
- getOptionMaxDepthOfOptionNode() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOptionTree
- getOptionMaxNumberOfOptionsPerNode() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOptionTree
- getOptionTree() - Method in class si.ijs.kt.clus.main.settings.Settings
- getOptionValue(String) - Method in class si.ijs.kt.clus.util.jeans.util.cmdline.CMDLineArgs
- getOptionValue(String, int) - Method in class si.ijs.kt.clus.util.jeans.util.cmdline.CMDLineArgs
- getOptionValues(String) - Method in class si.ijs.kt.clus.util.jeans.util.cmdline.CMDLineArgs
- getOptNbZeroesPar() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
Optimization regularization parameter - number of zeroes
- getOptNormalization() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
How we normalize the predictions and true values internally for optimization.
- getOptNormalizeLinearTerms() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
What kind of normalization are we using
- getOptRegPar() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
Optimization regularization parameter
- getOptRuleWeightBinarization() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
If this flag is set, weights higher than m_OptRuleWeightThreshold will get value 1, others will be set to 0
- getOptRuleWeightThreshold() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- getOptWeight() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- getOriginalSet() - Method in class si.ijs.kt.clus.main.ClusRun
-
Original set
- getOriginalTree() - Method in class si.ijs.kt.clus.pruning.PruneTree
- getOthers() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamTreeElem
- getOthersIterator() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamTreeElem
- getOthersIterator() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamTreeElemOld
- getOtherTupleIdx(DataTuple) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelConstraint
- getOutput() - Method in class si.ijs.kt.clus.main.settings.Settings
- getOverallAccuracy() - Method in class si.ijs.kt.clus.error.hmlc.HierLevelAccuracy
- getOVFoldData(int) - Method in class si.ijs.kt.clus.data.rows.RowData
- getParent() - Method in class si.ijs.kt.clus.error.common.ClusError
-
Old stuff - to be removed :-)
- getParent() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- getParent() - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- getParent() - Method in interface si.ijs.kt.clus.ext.optiontree.Node
- getParent() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNode
- getParent() - Method in class si.ijs.kt.clus.util.jeans.tree.BinaryNode
- getParent() - Method in class si.ijs.kt.clus.util.jeans.tree.MyNode
- getParent() - Method in interface si.ijs.kt.clus.util.jeans.tree.Node
- getParent() - Method in class si.ijs.kt.clus.util.jeans.tree.SimpleNode
- getParent() - Method in class si.ijs.kt.clus.util.jeans.tree.VisitableNode
- getParent(int) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- getParentModelIndex() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- getParents(ClusHMTRNode) - Method in class si.ijs.kt.clus.ext.hierarchicalmtr.ClusHMTRHierarchy
- getParentStat() - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreStat
- getParentStat() - Method in class si.ijs.kt.clus.statistic.BitVectorStat
- getParentStat() - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getParentStat() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getParentStat() - Method in class si.ijs.kt.clus.statistic.CombStat
- getParentStat() - Method in class si.ijs.kt.clus.statistic.CombStatClassRegHier
- getParentStat() - Method in class si.ijs.kt.clus.statistic.RegressionStat
- getParentStat() - Method in class si.ijs.kt.clus.statistic.RegressionStatBinaryNomiss
- getPath() - Method in class si.ijs.kt.clus.util.jeans.tree.MyNode
- getPath(String) - Static method in class si.ijs.kt.clus.util.jeans.util.FileUtil
- getPathName(String) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNode
- getPathNode(String) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileSection
- getPathNode(String, int) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileSection
- getPathNode(String, Class) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileSection
- getPDistance(String[], String[]) - Method in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristic
- getPearsonCorrelation(ArrayList<RowData[]>, int) - Static method in class si.ijs.kt.clus.addon.sit.Evaluator
- getPearsonCorrelation(RowData[], int) - Static method in class si.ijs.kt.clus.addon.sit.Evaluator
- getPercentageLabeled() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- getPerTargetConfidenceScores(int) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.PredictionConfidence
- getPhylogeny() - Method in class si.ijs.kt.clus.main.settings.Settings
- getPhylogenyCriterion() - Method in class si.ijs.kt.clus.main.settings.section.SettingsPhylogeny
- getPhylogenyDistanceMatrix() - Method in class si.ijs.kt.clus.main.settings.section.SettingsPhylogeny
- getPhylogenyDistancesVsParentStop() - Method in class si.ijs.kt.clus.main.settings.section.SettingsPhylogeny
- getPhylogenyDistancesVsRootStop() - Method in class si.ijs.kt.clus.main.settings.section.SettingsPhylogeny
- getPhylogenyDM() - Method in class si.ijs.kt.clus.main.settings.section.SettingsPhylogeny
- getPhylogenyEntropyVsParentStop() - Method in class si.ijs.kt.clus.main.settings.section.SettingsPhylogeny
- getPhylogenyEntropyVsRootStop() - Method in class si.ijs.kt.clus.main.settings.section.SettingsPhylogeny
- getPhylogenySequence() - Method in class si.ijs.kt.clus.main.settings.section.SettingsPhylogeny
- getPointwiseSquaredDistance(DataTuple) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
-
Compute squared distance between each of the tuple's target attributes and this statistic's mean.
- getPointwiseSquaredDistance(DataTuple, ClusAttributeWeights) - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- getPointwiseSquaredDistance(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getPopString() - Method in class si.ijs.kt.clus.util.tools.optimization.de.DEPopulation
- getPosFreq() - Method in class si.ijs.kt.clus.model.test.NodeTest
- getPosition() - Method in class si.ijs.kt.clus.main.settings.SettingsBase
-
Returns the position of this section in the INI file
- getPosition() - Method in class si.ijs.kt.clus.util.jeans.util.MSStringTokenizer
- getPosition() - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- getPosition(int) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- getPosition(int) - Method in interface si.ijs.kt.clus.util.jeans.math.matrix.MySparseVector
- getPossible() - Method in class si.ijs.kt.clus.util.tools.manual.ManualEntry
- getPosStat() - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- getPosStat() - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- getPosWeight() - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
-
Inspectors
- getPosWeight() - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
-
Inspectors
- getPRCurve() - Method in class si.ijs.kt.clus.error.ROCAndPRCurve
- getPrecision() - Method in class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy
- getPrecisionAtRecall(int) - Method in class si.ijs.kt.clus.error.ROCAndPRCurve
- getPredictedClassName(int) - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreStat
- getPredictedClassName(int) - Method in class si.ijs.kt.clus.statistic.BitVectorStat
- getPredictedClassName(int) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getPredictedClassName(int) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getPredictedClassName(int) - Method in class si.ijs.kt.clus.statistic.CombStat
- getPredictedClassName(int) - Method in class si.ijs.kt.clus.statistic.CombStatClassRegHier
- getPredictedClassName(int) - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- getPredictionForClassificationTuple(DataTuple) - Static method in class si.ijs.kt.clus.ext.ensemble.ClusOOBErrorEstimate
- getPredictionForRegressionHMCTuple(DataTuple) - Static method in class si.ijs.kt.clus.ext.ensemble.ClusOOBErrorEstimate
- getPredictionForTuple(DataTuple) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- getPredictionLength(int) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptClassification
- getPredictionLength(int) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptimization
- getPredictionLength(int) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptRegHMLC
- getPredictions(ClusRun) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSyntacticConstraint
-
Dragi
- getPredictions(ClusModel) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModelDistance
- getPredictionsDataSet(ClusModel, RowData, boolean) - Static method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModelDistance
- getPredictionsWhenCovered(int, int, int) - Method in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
-
Value of base function prediction in regression use when we already know that instance is covered! Use isCovered for this.
- getPredictionsWhenCovered(int, int, int, int) - Method in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
-
Value of base function prediction.
- getPredictionTime() - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- getPredictionTimeAverage() - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- getPredictionTimeNbExamples() - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- getPredictionValue(int, int) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptRegHMLC
- getPredictionValueClassification(int, int) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptClassification
- getPredictionWriterString(DataTuple) - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- getPredictionWriterString(DataTuple) - Method in class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrType
- getPredictionWriterString(DataTuple) - Method in class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrTypeSingleLabel
- getPredictString() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getPredictString() - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- getPredictString() - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- getPredictWriterString() - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getPredictWriterString() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getPredictWriterString() - Method in class si.ijs.kt.clus.statistic.CombStat
- getPredictWriterString() - Method in class si.ijs.kt.clus.statistic.HierSingleLabelStat
- getPredictWriterString() - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- getPredictWriterString(DataTuple) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCStatistic
- getPredictWriterString(DataTuple) - Method in class si.ijs.kt.clus.ext.structuredTypes.SetStatistic
- getPredictWriterString(DataTuple) - Method in class si.ijs.kt.clus.ext.structuredTypes.TupleStatistic
- getPredictWriterString(DataTuple) - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesStat
- getPredictWriterString(DataTuple) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getPrefix() - Method in class si.ijs.kt.clus.error.common.ClusError
- getPrefix() - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- getPrepareTime() - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- getPreprocs(boolean) - Method in class si.ijs.kt.clus.Clus
- getPreprocs(DataPreprocs) - Method in class si.ijs.kt.clus.algo.ClusInductionAlgorithm
- getPreprocs(DataPreprocs) - Method in class si.ijs.kt.clus.ext.semisupervised.ClusSelfTrainingFTFInduce
- getPreprocs(DataPreprocs) - Method in class si.ijs.kt.clus.ext.semisupervised.ClusSelfTrainingInduce
- getPreprocs(DataPreprocs) - Method in class si.ijs.kt.clus.main.ClusStatManager
- getPreprocs(DataPreprocs, boolean) - Method in class si.ijs.kt.clus.data.ClusSchema
- getPreprocs(DataPreprocs, boolean) - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- getPreprocs(DataPreprocs, boolean) - Method in class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrType
- getPrevIndex() - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getPrevIndex() - Method in class si.ijs.kt.clus.statistic.RegressionStat
- getPrevIndex() - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- getProbabilityPrediction() - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getProbabilityPrediction(int) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
-
Probability prediction for i^th target
- getProportion(int) - Method in class si.ijs.kt.clus.model.test.NodeTest
- getProportion(int, int) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getProportions() - Method in class si.ijs.kt.clus.model.test.NodeTest
-
Proportion of examples in different branches
- getPrototype() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileSectionGroup
- getPrototype(int) - Method in class si.ijs.kt.clus.algo.kNN.KNNStatistics
-
Deprecated.Returns the idx'th prototype (meaning: of the idx'th value of the target attribute ) require idx < amount of possible target values
- getPrototypes() - Method in class si.ijs.kt.clus.algo.kNN.KNNStatistics
-
Deprecated.
- getProximities() - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- getPrunedModelInfo(int, ClusNode) - Method in class si.ijs.kt.clus.pruning.PruneTree
- getPrunedName(int) - Method in class si.ijs.kt.clus.ext.hierarchical.HierClassTresholdPruner
- getPrunedName(int) - Method in class si.ijs.kt.clus.pruning.PruneTree
- getPrunedName(int) - Method in class si.ijs.kt.clus.pruning.SizeConstraintPruning
- getPruneFile() - Method in class si.ijs.kt.clus.main.settings.section.SettingsData
- getPruneIter() - Method in class si.ijs.kt.clus.main.ClusRun
- getPruneProportion() - Method in class si.ijs.kt.clus.main.settings.section.SettingsData
- getPruneSelection() - Method in class si.ijs.kt.clus.main.ClusRun
- getPruneSet() - Method in class si.ijs.kt.clus.main.ClusRun
-
Pruning set
- getPruneSetMax() - Method in class si.ijs.kt.clus.main.settings.section.SettingsData
- getPruneTime() - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- getPruningMethod() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- getPruningMethodName() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- getPythonModelType() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- getPythonString(String) - Method in class si.ijs.kt.clus.ext.optxval.SoftNumericTest
- getPythonString(String) - Method in class si.ijs.kt.clus.model.test.ClusRuleConstraintInduceTest
- getPythonString(String) - Method in class si.ijs.kt.clus.model.test.FakeTest
- getPythonString(String) - Method in class si.ijs.kt.clus.model.test.NodeTest
- getPythonString(String) - Method in class si.ijs.kt.clus.model.test.NominalTest
- getPythonString(String) - Method in class si.ijs.kt.clus.model.test.NumericTest
- getPythonString(String) - Method in class si.ijs.kt.clus.model.test.SubsetTest
- getPythonTestString(String) - Method in class si.ijs.kt.clus.model.test.NodeTest
- getQuotient(int, int) - Method in class si.ijs.kt.clus.main.ClusOutput
- getRandIndex() - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCRandIndex
- getRandom(int) - Static method in class si.ijs.kt.clus.util.ClusRandom
- getRandom(int) - Method in class si.ijs.kt.clus.util.ClusRandomNonstatic
- getRandomSeed() - Method in class si.ijs.kt.clus.main.settings.section.SettingsGeneral
- getRandomSubspaces() - Static method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce
- getRandValueInRange(Random, int) - Method in class si.ijs.kt.clus.util.tools.optimization.de.DEProblem
-
Single random value within the range of variables.
- getRandVector(Random) - Method in class si.ijs.kt.clus.util.tools.optimization.de.DEProblem
-
Generates a random solution.
- getRange() - Method in class si.ijs.kt.clus.util.jeans.math.SingleStat
- getRange(ArrayList<SingleStatList>) - Method in class si.ijs.kt.clus.algo.tdidt.tune.CDTuneSizeConstrPruning
- getRankCorrVariance() - Method in class si.ijs.kt.clus.error.SpearmanRankCorrelationPerExample
-
Gives the variance of the arithmetic mean of the rank correlation over all examples
- getRankingMethodName() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- getRankingMethods() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- getRankings() - Method in class si.ijs.kt.clus.ext.featureRanking.ensemble.ClusEnsembleFeatureRankings
- getRanks(double[]) - Static method in class si.ijs.kt.clus.util.ClusUtil
-
Computes the rank of each value in the given array
- getReader() - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- getRecall() - Method in class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy
- getRecall() - Method in class si.ijs.kt.clus.error.hmlc.HierLevelAccuracy
- getRecallValues() - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- getRecursive() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSIT
- getReduceMemoryNominalAttrs() - Method in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
- getRefinement() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- getRegressionStat() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getRegressionStat() - Method in class si.ijs.kt.clus.statistic.CombStat
- getRegressionStat() - Method in class si.ijs.kt.clus.statistic.RegressionStat
- getRelationName() - Method in class si.ijs.kt.clus.data.ClusSchema
- getRelativeError(ArrayList<RowData[]>, int) - Static method in class si.ijs.kt.clus.addon.sit.Evaluator
- getRelativeError(RowData[], int) - Static method in class si.ijs.kt.clus.addon.sit.Evaluator
- getRelief() - Method in class si.ijs.kt.clus.main.settings.Settings
- getReliefNbIterationsValue(int) - Method in class si.ijs.kt.clus.main.settings.section.SettingsRelief
-
Returns a list, containing the numbers of the iterations.
- getReliefNbNeighboursValue() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRelief
- getReliefStatisticsType() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRelief
- getReliefWeightingSigma() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRelief
- getReliefWeightNeighbours() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRelief
- getRepresentativeMean() - Method in class si.ijs.kt.clus.ext.structuredTypes.SetStatistic
- getRepresentativeMean() - Method in class si.ijs.kt.clus.ext.structuredTypes.TupleStatistic
- getRepresentativeMean() - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesStat
- getRepresentativeMedoid() - Method in class si.ijs.kt.clus.ext.structuredTypes.SetStatistic
- getRepresentativeMedoid() - Method in class si.ijs.kt.clus.ext.structuredTypes.TupleStatistic
- getRepresentativeMedoid() - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesStat
- getResourceInfoLoaded() - Method in class si.ijs.kt.clus.main.settings.section.SettingsGeneral
- getResourceInfoLoadedValue() - Method in class si.ijs.kt.clus.main.settings.section.SettingsGeneral
- getResult(TargetSet, RowData) - Method in class si.ijs.kt.clus.addon.sit.mtLearner.ResultsCache
- getRight() - Method in class si.ijs.kt.clus.util.jeans.tree.BinaryNode
- getRightSubtree() - Method in class si.ijs.kt.clus.algo.kNN.methods.vpTree.VPNode
- getRMSE(ClusAttributeWeights) - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- getRMSE(RowData[], int) - Static method in class si.ijs.kt.clus.addon.sit.Evaluator
- getROCCurve() - Method in class si.ijs.kt.clus.error.ROCAndPRCurve
- getRoot() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- getRoot() - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- getRoot() - Method in class si.ijs.kt.clus.util.jeans.tree.MyNode
- getRootIter() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- getRootNode(ClusRun) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveDFSearch
- getRootScaledVariance(int, ClusAttributeWeights) - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- getRootScaledVariances(ClusAttributeWeights) - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- getROSAddRulesWithTotalAveraging() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- getROSAlgorithmType() - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusROSForestInfo
- getROSModelInfo() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- getROSModelInfo() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- getROSModelInfo() - Method in class si.ijs.kt.clus.data.attweights.ClusAttributeWeights
- getROSModelInfo(int) - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusROSForestInfo
- getROSVotingType() - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusROSForestInfo
- getRoundVector(ArrayList<Double>) - Method in class si.ijs.kt.clus.util.tools.optimization.de.DEProblem
- getRow() - Method in class si.ijs.kt.clus.data.io.ClusReader
- getRow(int) - Method in class si.ijs.kt.clus.util.jeans.math.matrix.MSymMatrix
- getRowDataClone() - Method in class si.ijs.kt.clus.Clus
- getRows() - Method in class si.ijs.kt.clus.util.jeans.math.matrix.MMatrix
- getRows() - Method in class si.ijs.kt.clus.util.jeans.math.matrix.MSymMatrix
- getRule(int) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- getRuleAddingMethod() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- getRuleCovers(int) - Method in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
-
Returns boolean array of rule covering
- getRuleInduceParamsDisabled() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- getRuleNbSigAtt() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- getRuleNextCovered(int, int) - Method in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
-
Returns the index of next covered instance for the rule
- getRulePredictionMethod() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- getRules() - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- getRules() - Method in class si.ijs.kt.clus.main.settings.Settings
- getRuleSetTests() - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
Get a set of all test nodes in a rule set
- getRuleSignificanceLevel() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- getRun() - Method in class si.ijs.kt.clus.algo.kNN.methods.kdTree.KDTree
- getRun() - Method in class si.ijs.kt.clus.algo.kNN.methods.SearchAlgorithm
- getSaveNeighboursFile() - Method in class si.ijs.kt.clus.main.settings.section.SettingsKNN
- getScaledSS(int, ClusAttributeWeights) - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- getScaledVariance(int, ClusAttributeWeights) - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- getSchema() - Method in class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI
- getSchema() - Method in class si.ijs.kt.clus.algo.ClusInductionAlgorithm
- getSchema() - Method in class si.ijs.kt.clus.algo.split.FindBestTest
- getSchema() - Method in class si.ijs.kt.clus.Clus
- getSchema() - Method in class si.ijs.kt.clus.data.rows.DataTuple
- getSchema() - Method in class si.ijs.kt.clus.data.rows.FileTupleIterator
- getSchema() - Method in class si.ijs.kt.clus.data.rows.MemoryTupleIterator
- getSchema() - Method in class si.ijs.kt.clus.data.rows.RowData
- getSchema() - Method in class si.ijs.kt.clus.data.rows.TupleIterator
- getSchema() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- getSchema() - Method in class si.ijs.kt.clus.ext.optiontree.FindBestTests
- getSchema() - Method in class si.ijs.kt.clus.ext.semisupervised.ClusSelfTrainingFTFInduce
- getSchema() - Method in class si.ijs.kt.clus.ext.semisupervised.ClusSelfTrainingInduce
- getSchema() - Method in class si.ijs.kt.clus.main.ClusStatManager
- getSchema() - Method in class si.ijs.kt.clus.model.ClusModelInfo
- getScore() - Method in class si.ijs.kt.clus.Clus
- getScore() - Method in class si.ijs.kt.clus.model.ClusModelInfo
- getSearch() - Method in class si.ijs.kt.clus.algo.kNN.KnnModel
- getSearchMethod() - Method in class si.ijs.kt.clus.main.settings.section.SettingsKNN
- getSearchName() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSIT
- getSecond() - Method in class si.ijs.kt.clus.ext.semisupervised.utils.DoublesPair
- getSecond() - Method in class si.ijs.kt.clus.util.tuple.Pair
- getSecond() - Method in class si.ijs.kt.clus.util.tuple.Quadruple
- getSecond() - Method in class si.ijs.kt.clus.util.tuple.Triple
- getSection() - Method in class si.ijs.kt.clus.main.settings.SettingsBase
-
Returns INI section
- getSectionAt(int) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileSectionGroup
- getSectionMultiLabel() - Method in class si.ijs.kt.clus.main.settings.section.SettingsMLC
- getSectionsIterator() - Method in class si.ijs.kt.clus.main.settings.Settings
- getSeed() - Method in class si.ijs.kt.clus.util.ClusRandomNonstatic
- getSelector(int) - Method in class si.ijs.kt.clus.ext.optxval.OptXValInduce
- getSemiSupervisedMethod() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- getSequencePruner() - Method in class si.ijs.kt.clus.pruning.SequencePruningVSB
- getSet(DataTuple) - Method in class si.ijs.kt.clus.data.type.complex.SetAttrType
- getSetDistance() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- getSetPred() - Method in class si.ijs.kt.clus.ext.structuredTypes.SetStatistic
- getSettings() - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageNodeWiseModels
- getSettings() - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageSingleClass
- getSettings() - Method in class si.ijs.kt.clus.addon.sit.Sit
-
Returns the current settings object
- getSettings() - Method in class si.ijs.kt.clus.algo.ClusInductionAlgorithm
-
Returns the settings given in the settings file (.s).
- getSettings() - Method in class si.ijs.kt.clus.algo.ClusInductionAlgorithmType
- getSettings() - Method in class si.ijs.kt.clus.algo.kNN.distance.valentin.BasicDistance
- getSettings() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- getSettings() - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- getSettings() - Method in class si.ijs.kt.clus.algo.split.FindBestTest
- getSettings() - Method in class si.ijs.kt.clus.Clus
- getSettings() - Method in class si.ijs.kt.clus.data.ClusSchema
- getSettings() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- getSettings() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- getSettings() - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptimization
- getSettings() - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- getSettings() - Method in class si.ijs.kt.clus.ext.featureRanking.ClusFeatureRanking
- getSettings() - Method in class si.ijs.kt.clus.ext.featureRanking.ensemble.ClusEnsembleFeatureRankings
- getSettings() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- getSettings() - Method in class si.ijs.kt.clus.ext.optiontree.FindBestTests
- getSettings() - Method in class si.ijs.kt.clus.ext.semisupervised.ClusSelfTrainingFTFInduce
-
Returns the settings given in the settings file (.s).
- getSettings() - Method in class si.ijs.kt.clus.ext.semisupervised.ClusSelfTrainingInduce
-
Returns the settings given in the settings file (.s).
- getSettings() - Method in class si.ijs.kt.clus.heuristic.ClusHeuristic
- getSettings() - Method in class si.ijs.kt.clus.main.ClusOutput
- getSettings() - Method in class si.ijs.kt.clus.main.ClusStatManager
- getSettings() - Method in class si.ijs.kt.clus.model.ClusModelInfo
- getSettings() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getSettings() - Method in class si.ijs.kt.clus.util.tools.optimization.de.DEPopulation
- getSettings() - Method in class si.ijs.kt.clus.util.tools.optimization.OptimizationAlgorithm
- getSettings() - Method in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
- getSettingSig() - Static method in class si.ijs.kt.clus.util.FTest
- getSetWeight() - Method in class si.ijs.kt.clus.ext.structuredTypes.Set
- getShowModel(SettingsOutput.ShowModels) - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- getSigma() - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ReliefModel
- getSimpleString() - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getSimpleString() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getSingle() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominal
- getSingleRun() - Method in class si.ijs.kt.clus.ext.ensemble.container.OneBagResults
- getSIT() - Method in class si.ijs.kt.clus.main.settings.Settings
- getSize() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileArray
- getSize() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominal
- getSize() - Method in class si.ijs.kt.clus.util.jeans.math.matrix.MSymMatrix
- getSize() - Method in class si.ijs.kt.clus.util.jeans.util.IntegerStack
- getSizeConstraintPruning(int) - Method in class si.ijs.kt.clus.main.settings.section.SettingsConstraints
- getSizeConstraintPruningNumber() - Method in class si.ijs.kt.clus.main.settings.section.SettingsConstraints
- getSizeConstraintPruningVector() - Method in class si.ijs.kt.clus.main.settings.section.SettingsConstraints
- getSizeOfSubspace() - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusROSModelInfo
- getSizePenalty() - Method in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- getSmartTargetStat() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- getSortHelper() - Method in class si.ijs.kt.clus.algo.split.FindBestTest
- getSortHelper() - Method in class si.ijs.kt.clus.ext.optiontree.FindBestTests
- getSpacesUnk() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- getSpacesYes() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- getSpatialAlpha() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- getSpatialMatrix() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- getSpatialMeasure() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- getSpearmanRankCorrelation(double[], double[]) - Method in class si.ijs.kt.clus.error.SpearmanRankCorrelationPerExample
- getSplitIndex() - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getSplitIndex() - Method in class si.ijs.kt.clus.statistic.RegressionStat
- getSplitIndex() - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- getSplitPosition() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- getSplitValue() - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- getSquaredDistance(DataTuple, ClusAttributeWeights) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getSquaredDistance(DataTuple, ClusAttributeWeights) - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- getSquaredDistance(DataTuple, ClusAttributeWeights) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
-
Compute squared Euclidean distance between tuple's target attributes and this statistic's mean.
- getSquaredDistance(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getSquaredDistance(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getSquaredDistance(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- getSquaredDistanceH(DataTuple, double[]) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- getSSL() - Method in class si.ijs.kt.clus.main.settings.Settings
- getSSLAggregation() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- getSSLInternalFold() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- getSSLInternalFolds() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- getSSLNormalization() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- getSSLPossibleWeights() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- getSSLPruningWhenTuning() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- getSSLWeightScoresFile() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- getStack() - Method in class si.ijs.kt.clus.algo.kNN.methods.kdTree.KDTree
- getStandardDeviation(int) - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- getStartItemCpt() - Method in class si.ijs.kt.clus.main.settings.section.SettingsExhaustiveSearch
- getStartTreeCpt() - Method in class si.ijs.kt.clus.main.settings.section.SettingsExhaustiveSearch
- getStat() - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- getStat(int) - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- getStat(int) - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- getStatistic() - Method in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- getStatistic() - Method in class si.ijs.kt.clus.data.type.primitive.NumericAttrType
- getStatistic(ClusAttrType.AttributeUseType) - Method in class si.ijs.kt.clus.main.ClusStatManager
- getStatisticPrintInfo() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- getStatManager() - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageNodeWiseModels
- getStatManager() - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageSingleClass
- getStatManager() - Method in class si.ijs.kt.clus.algo.ClusInductionAlgorithm
- getStatManager() - Method in class si.ijs.kt.clus.algo.ClusInductionAlgorithmType
- getStatManager() - Method in class si.ijs.kt.clus.algo.split.FindBestTest
- getStatManager() - Method in class si.ijs.kt.clus.algo.split.SubsetSplit
- getStatManager() - Method in class si.ijs.kt.clus.Clus
- getStatManager() - Method in class si.ijs.kt.clus.ext.ilevelc.COPKMeans
- getStatManager() - Method in class si.ijs.kt.clus.ext.ilevelc.COPKMeansCluster
- getStatManager() - Method in class si.ijs.kt.clus.ext.ilevelc.MPCKMeansWrapper
- getStatManager() - Method in class si.ijs.kt.clus.ext.optiontree.FindBestTests
- getStatManager() - Method in class si.ijs.kt.clus.ext.semisupervised.ClusSelfTrainingFTFInduce
- getStatManager() - Method in class si.ijs.kt.clus.ext.semisupervised.ClusSelfTrainingInduce
- getStatManager() - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- getStatManager() - Method in class si.ijs.kt.clus.main.ClusRun
- getStatManager() - Method in class si.ijs.kt.clus.main.ClusSummary
- getStatManager() - Method in class si.ijs.kt.clus.model.ClusModelInfo
- getStatus() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- getStdDefOfMean() - Method in class si.ijs.kt.clus.util.jeans.math.SingleStat
- getStdDev() - Method in class si.ijs.kt.clus.util.jeans.math.SingleStat
- getStdDev(double[]) - Static method in class si.ijs.kt.clus.ext.semisupervised.Helper
-
corrected sample standard deviation
- getStoppingCriteria() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- getString() - Method in class si.ijs.kt.clus.ext.optxval.SoftNumericTest
- getString() - Method in class si.ijs.kt.clus.main.ClusOutput
- getString() - Method in class si.ijs.kt.clus.model.test.ClusRuleConstraintInduceTest
- getString() - Method in class si.ijs.kt.clus.model.test.FakeTest
- getString() - Method in class si.ijs.kt.clus.model.test.InverseNumericTest
- getString() - Method in class si.ijs.kt.clus.model.test.NodeTest
-
String methods
- getString() - Method in class si.ijs.kt.clus.model.test.NominalTest
- getString() - Method in class si.ijs.kt.clus.model.test.NumericTest
- getString() - Method in class si.ijs.kt.clus.model.test.SubsetTest
- getString() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getString(String, Object) - Method in class si.ijs.kt.clus.util.jeans.io.range.DoubleRangeCheck
- getString(String, Object) - Method in class si.ijs.kt.clus.util.jeans.io.range.IntRangeCheck
- getString(String, Object) - Method in interface si.ijs.kt.clus.util.jeans.io.range.ValueCheck
- getString(DataTuple) - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- getString(DataTuple) - Method in class si.ijs.kt.clus.data.type.complex.SetAttrType
- getString(DataTuple) - Method in class si.ijs.kt.clus.data.type.complex.SetAttrType.MySerializable
- getString(DataTuple) - Method in class si.ijs.kt.clus.data.type.complex.TupleAttrType
- getString(DataTuple) - Method in class si.ijs.kt.clus.data.type.complex.TupleAttrType.MySerializable
- getString(DataTuple) - Method in class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrType
- getString(DataTuple) - Method in class si.ijs.kt.clus.data.type.primitive.IntegerAttrType
- getString(DataTuple) - Method in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- getString(DataTuple) - Method in class si.ijs.kt.clus.data.type.primitive.NumericAttrType
- getString(DataTuple) - Method in class si.ijs.kt.clus.data.type.primitive.StringAttrType
- getString(DataTuple) - Method in class si.ijs.kt.clus.data.type.primitive.TimeSeriesAttrType
- getString(DataTuple) - Method in class si.ijs.kt.clus.data.type.primitive.TimeSeriesAttrType.MySerializable
- getString(StatisticPrintInfo) - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreStat
- getString(StatisticPrintInfo) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimRegrStat
- getString(StatisticPrintInfo) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCStatistic
- getString(StatisticPrintInfo) - Method in class si.ijs.kt.clus.ext.structuredTypes.SetStatistic
- getString(StatisticPrintInfo) - Method in class si.ijs.kt.clus.ext.structuredTypes.TupleStatistic
- getString(StatisticPrintInfo) - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesStat
- getString(StatisticPrintInfo) - Method in class si.ijs.kt.clus.statistic.BitVectorStat
- getString(StatisticPrintInfo) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
-
Prints the statistics - predictions : weighted sum of all examples
- getString(StatisticPrintInfo) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getString(StatisticPrintInfo) - Method in class si.ijs.kt.clus.statistic.CombStat
- getString(StatisticPrintInfo) - Method in class si.ijs.kt.clus.statistic.CombStatClassRegHier
- getString(StatisticPrintInfo) - Method in class si.ijs.kt.clus.statistic.GeneticDistanceStat
- getString(StatisticPrintInfo) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- getString(StatisticPrintInfo) - Method in class si.ijs.kt.clus.statistic.RegressionStatBinaryNomiss
- getString(StatisticPrintInfo) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- getString2() - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getString2() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getStringAt(int) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileArray
- getStringAt(int) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominal
- getStringSingle() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominal
- getStringTable() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchyIO
- getStringValue() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileArray
- getStringValue() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileBool
- getStringValue() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileDouble
- getStringValue() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileEntry
- getStringValue() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileEnum
- getStringValue() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileEnumList
- getStringValue() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileInt
- getStringValue() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominal
- getStringValue() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- getStringValue() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector
- getStringValue() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileString
- getStringValue() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrDouble
- getStringValue() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrInt
- getStringWithPrefix(String) - Method in class si.ijs.kt.clus.ext.optxval.SoftNumericTest
- getStringWithPrefix(String) - Method in class si.ijs.kt.clus.model.test.NumericTest
- getSubmodelName(int) - Static method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- getSubsetConstraints(RowData) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- getSubspaceString() - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusROSModelInfo
- getSumLeftLeavesError(ClusNode, MDouble) - Static method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveDFSearch
- getSummary() - Method in class si.ijs.kt.clus.Clus
- getSummary() - Method in class si.ijs.kt.clus.data.rows.RowData
- getSummary() - Method in class si.ijs.kt.clus.main.ClusRun
-
Getting to the summary
- getSummary(String) - Method in class si.ijs.kt.clus.data.rows.RowData
- getSummaryClone() - Method in class si.ijs.kt.clus.main.ClusSummary
- getSummaryError() - Method in class si.ijs.kt.clus.error.AbsoluteError
- getSummaryJSON() - Method in class si.ijs.kt.clus.data.rows.RowData
- getSumNbPosActual() - Method in class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy
- getSumNbPosPredicted() - Method in class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy
- getSumOfEntropyWithin(int[]) - Method in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- getSumPrediction(int) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimClassStat
- getSumPrediction(int, int) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimClassStat
- getSumPredictions() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimRegrStat
- getSumPredictions(int) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimRegrStat
- getSumPWDistanceBetween(int[], int[]) - Method in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- getSumPWDistancesWithin(int[]) - Method in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- getSumSqPrediction(int) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimClassStat
- getSumSqPrediction(int, int) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimClassStat
- getSumSqPredictions() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimRegrStat
- getSumSqPredictions(int) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimRegrStat
- getSumSqValues(int) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- getSumValues() - Method in class si.ijs.kt.clus.statistic.RegressionStatBinaryNomiss
- getSumValues(int) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- getSumWeight() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getSumWeight(int) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getSumWeights() - Method in class si.ijs.kt.clus.data.rows.RowData
- getSumWeights(int) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getSumWeights(int) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- getSupport(DataTuple) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
TODO: Calculates Support for a DataTuple
- getSVarS(double, double, double, double) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- getSVarS(int) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimRegrStat
- getSVarS(int) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getSVarS(int) - Method in interface si.ijs.kt.clus.statistic.ComponentStatistic
- getSVarS(int) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- getSVarS(int) - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- getSVarS(int) - Method in class si.ijs.kt.clus.statistic.RegressionStatBinaryNomiss
- getSVarS(int) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- getSVarS(ClusAttributeWeights) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimClassStat
- getSVarS(ClusAttributeWeights) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimRegrStat
- getSVarS(ClusAttributeWeights) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getSVarS(ClusAttributeWeights) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getSVarS(ClusAttributeWeights) - Method in class si.ijs.kt.clus.statistic.CombStat
- getSVarS(ClusAttributeWeights) - Method in class si.ijs.kt.clus.statistic.CombStatClassRegHier
- getSVarS(ClusAttributeWeights) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- getSVarS(ClusAttributeWeights) - Method in class si.ijs.kt.clus.statistic.RegressionStatBinaryNomiss
- getSVarS(ClusAttributeWeights) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- getSVarS(ClusAttributeWeights, RowData) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getSVarS(ClusAttributeWeights, RowData) - Method in class si.ijs.kt.clus.statistic.HierSumPairwiseDistancesStat
- getSVarS(ClusAttributeWeights, RowData) - Method in class si.ijs.kt.clus.statistic.SumPairwiseDistancesStat
- getSVarSDiff(int, RegressionStat) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- getSVarSDiff(ClusAttributeWeights, ClusStatistic) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getSVarSDiff(ClusAttributeWeights, ClusStatistic) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getSVarSDiff(ClusAttributeWeights, ClusStatistic) - Method in class si.ijs.kt.clus.statistic.CombStat
- getSVarSDiff(ClusAttributeWeights, ClusStatistic) - Method in class si.ijs.kt.clus.statistic.CombStatClassRegHier
- getSVarSDiff(ClusAttributeWeights, ClusStatistic) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- getSVarSDiff(ClusAttributeWeights, ClusStatistic) - Method in class si.ijs.kt.clus.statistic.RegressionStatBinaryNomiss
- getSVarSDiff(ClusAttributeWeights, ClusStatistic) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- getSVarSDiff(ClusAttributeWeights, ClusStatistic, RowData) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getSVarSDiffHMTR(ClusAttributeWeights, ClusStatistic) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- getSVarSDiffROS(ClusAttributeWeights, ClusStatistic) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getSVarSDiffROS(ClusAttributeWeights, ClusStatistic) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- getSVarSHMTR(ClusAttributeWeights) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- getSVarSROS(ClusAttributeWeights) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- geTSWeight() - Method in class si.ijs.kt.clus.ext.structuredTypes.Tuple
- geTSWeight() - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeries
- getSymbolicWeights() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- getT1() - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelConstraint
- getT2() - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelConstraint
- getTable() - Method in class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrType
- getTable() - Method in class si.ijs.kt.clus.ext.hierarchical.HierIO
- getTableContentsColumnBlocks() - Method in class si.ijs.kt.clus.ext.featureRanking.Fimp
- getTableHeaderColumnBlocks() - Method in class si.ijs.kt.clus.ext.featureRanking.Fimp
- getTarget() - Method in class si.ijs.kt.clus.data.ClusSchema
-
Methods for working with interval collections of attributes *
- getTarget() - Method in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
- getTargetAttribute(int) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ClusReliefFeatureRanking
- getTargetAttributes() - Method in class si.ijs.kt.clus.data.ClusSchema
- getTargetDistance() - Method in class si.ijs.kt.clus.ext.featureRanking.relief.nearestNeighbour.NearestNeighbour
-
Deprecated.
- getTargetMode() - Method in class si.ijs.kt.clus.main.ClusStatManager
- getTargetNames() - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getTargetNames() - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- getTargetProbability(int, int) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ClusReliefFeatureRanking
- getTargets() - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusROSModelInfo
- getTargetsDisabled() - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusROSModelInfo
- getTargetSet(TargetSet, Chromosome) - Static method in class si.ijs.kt.clus.addon.sit.searchAlgorithm.GeneticSearch
- getTargetsNotLearned() - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusROSForestInfo
- getTargetStat() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- getTargetStat() - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- getTargetStat() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- getTargetStat() - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- getTargetStat() - Method in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
- getTargetSumWeights() - Method in class si.ijs.kt.clus.statistic.BitVectorStat
- getTargetSumWeights() - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- getTargetSumWeights() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
-
Provides sum of weights of target attributes
- getTargetSumWeights() - Method in class si.ijs.kt.clus.statistic.CombStat
-
Provides sum of weights of target attributes
- getTargetSumWeights() - Method in class si.ijs.kt.clus.statistic.CombStatClassRegHier
-
Provides sum of weights of target attributes
- getTargetSumWeights() - Method in class si.ijs.kt.clus.statistic.RegressionStat
- getTargetSumWeights() - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
-
Provides sum of weights of target attributes
- getTargetType() - Method in class si.ijs.kt.clus.main.ClusStatManager
- getTargetWeights() - Method in class si.ijs.kt.clus.pruning.SizeConstraintPruning
- getTargMean(int) - Static method in class si.ijs.kt.clus.algo.rules.RuleNormalization
- getTargStdDev(int) - Static method in class si.ijs.kt.clus.algo.rules.RuleNormalization
- getTemporaryPythonTreeFileName(ClusRun, int) - Static method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce
-
Returns the name of temporary python script, containing a single tree in the forests.
- getTerm() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- getTermAt(int) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- getTest() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- getTest() - Method in class si.ijs.kt.clus.ext.optiontree.ClusSplitNode
- getTest() - Method in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- getTest() - Method in class si.ijs.kt.clus.ext.optxval.OptXValSplit
- getTest(int) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- getTestError() - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- getTestError() - Method in class si.ijs.kt.clus.main.ClusRun
- getTestError() - Method in class si.ijs.kt.clus.main.ClusSummary
- getTestError() - Method in class si.ijs.kt.clus.model.ClusModelInfo
- getTestFile() - Method in class si.ijs.kt.clus.main.settings.section.SettingsData
- getTestIter() - Method in class si.ijs.kt.clus.main.ClusRun
- getTestProportion() - Method in class si.ijs.kt.clus.main.settings.section.SettingsData
- getTests() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- getTestSelection() - Method in class si.ijs.kt.clus.main.ClusRun
- getTestSet() - Method in class si.ijs.kt.clus.main.ClusRun
- getTestString() - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- getTestString() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- getTestString() - Method in class si.ijs.kt.clus.ext.optiontree.ClusSplitNode
- getTestString() - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- getTestString() - Method in class si.ijs.kt.clus.model.test.NodeTest
- getTestString(int) - Method in class si.ijs.kt.clus.model.test.NodeTest
- getThird() - Method in class si.ijs.kt.clus.util.tuple.Quadruple
- getThird() - Method in class si.ijs.kt.clus.util.tuple.Triple
- getThreshold() - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- getThreshold() - Method in class si.ijs.kt.clus.ext.hierarchical.thresholdcalibration.calibrateByLabelCardinality
- getThreshold() - Method in interface si.ijs.kt.clus.ext.hierarchical.thresholdcalibration.HierThresholdCalibration
- getThreshold() - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- getThreshold(int) - Method in class si.ijs.kt.clus.ext.hierarchical.HierClassTresholdPruner
- getThresholds() - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- getTime() - Static method in class si.ijs.kt.clus.util.ResourceInfo
- getTimeBudget() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- getTimes() - Method in class si.ijs.kt.clus.ext.optxval.OptXValBinTree
- getTimeSeries() - Method in class si.ijs.kt.clus.main.settings.Settings
- getTimeSeries(DataTuple) - Method in class si.ijs.kt.clus.data.type.primitive.TimeSeriesAttrType
- getTimeSeriesAttrUse(ClusAttrType.AttributeUseType) - Method in class si.ijs.kt.clus.data.ClusSchema
- getTimeSeriesDistance() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTimeSeries
- getTimeSeriesHeuristicSampling() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTimeSeries
- getTimeSeriesLength(TimeSeriesAttrType, RowData) - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesSignificantChangeTesterXVAL
- getTimeSeriesPred() - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesStat
- getTimeSeriesPred() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getToken() - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- getToken() - Method in class si.ijs.kt.clus.util.jeans.util.MStringTokenizer
- getToken() - Method in class si.ijs.kt.clus.util.jeans.util.MTokenizer
- getTokens() - Method in class si.ijs.kt.clus.data.io.ClusReader
- getTokens() - Method in class si.ijs.kt.clus.model.io.ClusTreeReader
- getTop() - Method in class si.ijs.kt.clus.util.jeans.util.IntegerStack
- getTotal() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
-
Returns the number of terms in the hierarchy.
- getTotal() - Method in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- getTotalInputNbMissing() - Method in class si.ijs.kt.clus.data.ClusSchema
- getTotalRuns() - Method in class si.ijs.kt.clus.main.ClusSummary
- getTotalSize() - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageNodeWiseModels
- getTotalTreeSize() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- getTotalWeight() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- getTotNoUnkW() - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- getTotNoUnkW() - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- getTotStat() - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- getTotStat() - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- getTotStat(int) - Method in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- getTotWeight() - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- getTotWeight() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- getTotWeight() - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- getTP() - Method in class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy
- getTrainData() - Method in class si.ijs.kt.clus.heuristic.ClusHeuristic
- getTrainDataHeurValue() - Method in class si.ijs.kt.clus.heuristic.ClusHeuristic
- getTrainError() - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- getTrainError() - Method in class si.ijs.kt.clus.main.ClusRun
- getTrainError() - Method in class si.ijs.kt.clus.main.ClusSummary
- getTrainErrorScore() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- getTraining() - Method in class si.ijs.kt.clus.statistic.RegressionStat
- getTrainingError() - Method in class si.ijs.kt.clus.model.ClusModelInfo
- getTrainingSet() - Method in class si.ijs.kt.clus.main.ClusRun
-
Training set
- getTrainIter() - Method in class si.ijs.kt.clus.main.ClusRun
- getTrainSetStat() - Method in class si.ijs.kt.clus.main.ClusStatManager
- getTrainSetStat(ClusAttrType.AttributeUseType) - Method in class si.ijs.kt.clus.main.ClusStatManager
- getTree() - Method in class si.ijs.kt.clus.main.settings.Settings
- getTree(int) - Method in class si.ijs.kt.clus.ext.optxval.OptXValNode
- getTreeFile(String) - Static method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- getTreeMaxDepth() - Method in class si.ijs.kt.clus.main.settings.section.SettingsConstraints
- getTreeNumber() - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusROSModelInfo
- getTreePruner(ClusData) - Method in class si.ijs.kt.clus.main.ClusStatManager
- getTreePrunerNoVSB() - Method in class si.ijs.kt.clus.main.ClusStatManager
- getTreeSplitSampling() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
-
To find the best split, heuristic can be calculated on a random sample of the training set to conserve time
- getTrimmedInfo(int) - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusEnsembleROSInfo
-
Returns a trimmed variant of current object, containing only
numberOfSubspaces
ROS subspaces - getTrueValue(int, int) - Method in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
- getTSDistance() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- getTTestPValue(int, ClusStatManager) - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
-
Computes a 2-sample t statistic, without the hypothesis of equal sub-population variances, and returns the p-value of a t test.
- getTuneFolds() - Method in class si.ijs.kt.clus.main.settings.section.SettingsModel
- getTuple() - Method in class si.ijs.kt.clus.algo.kNN.methods.NN
- getTuple() - Method in class si.ijs.kt.clus.algo.kNN.methods.vpTree.VPItem
- getTuple(boolean[]) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- getTuple(int) - Method in class si.ijs.kt.clus.data.rows.RowData
- getTuple(DataTuple) - Method in class si.ijs.kt.clus.data.type.complex.TupleAttrType
- getTupleDistance() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- getTupleIndex(int) - Method in class si.ijs.kt.clus.statistic.GeneticDistanceStat
- getTuplePred() - Method in class si.ijs.kt.clus.ext.structuredTypes.TupleStatistic
- getTuples() - Method in class si.ijs.kt.clus.algo.kNN.methods.kdTree.KDNode
-
Returns list of all tuples belonging to this node.
- getTValueSigTest(SingleStatList) - Method in class si.ijs.kt.clus.util.jeans.math.SingleStatList
- getType() - Method in class si.ijs.kt.clus.data.cols.attribute.ClusAttribute
- getType() - Method in class si.ijs.kt.clus.data.cols.attribute.NominalAttrBase
- getType() - Method in class si.ijs.kt.clus.data.cols.attribute.NumericAttrBase
- getType() - Method in class si.ijs.kt.clus.data.cols.attribute.TimeSeriesAttrBase
- getType() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- getType() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- getType() - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelConstraint
- getType() - Method in class si.ijs.kt.clus.ext.optxval.SoftNumericTest
- getType() - Static method in class si.ijs.kt.clus.model.processor.ClusEnsemblePredictionWriter
- getType() - Method in class si.ijs.kt.clus.model.test.ClusRuleConstraintInduceTest
- getType() - Method in class si.ijs.kt.clus.model.test.FakeTest
- getType() - Method in class si.ijs.kt.clus.model.test.NodeTest
-
Attribute type
- getType() - Method in class si.ijs.kt.clus.model.test.NominalTest
- getType() - Method in class si.ijs.kt.clus.model.test.NumericTest
- getType() - Method in class si.ijs.kt.clus.model.test.SubsetTest
- getType() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileArray
- getType() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominal
- getType() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- getType() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector
- getTypeDefinition() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- getTypeDefinition() - Method in class si.ijs.kt.clus.data.type.complex.SetAttrType
- getTypeName() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- getTypeName() - Method in class si.ijs.kt.clus.data.type.complex.SetAttrType
- getTypeName() - Method in class si.ijs.kt.clus.data.type.complex.TupleAttrType
- getTypeName() - Method in class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrType
- getTypeName() - Method in class si.ijs.kt.clus.data.type.primitive.IndexAttrType
- getTypeName() - Method in class si.ijs.kt.clus.data.type.primitive.IntegerAttrType
- getTypeName() - Method in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- getTypeName() - Method in class si.ijs.kt.clus.data.type.primitive.NumericAttrType
- getTypeName() - Method in class si.ijs.kt.clus.data.type.primitive.StringAttrType
- getTypeName() - Method in class si.ijs.kt.clus.data.type.primitive.TimeSeriesAttrType
- getTypeString() - Method in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- getUncovered(int) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
Calculate a BitSet vector of uncovered examples with respect to the input data
- getUnionCardinality(Set, Set, ClusDistance) - Static method in class si.ijs.kt.clus.ext.structuredTypes.SetOperations
- getUnknownFreq() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- getUnknownFreq() - Method in class si.ijs.kt.clus.model.test.NodeTest
- getUnlabeledCriteria() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- getUnlabeledFile() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- getUnlabeledIter() - Method in class si.ijs.kt.clus.main.ClusRun
- getUnlabeledSet() - Method in class si.ijs.kt.clus.main.ClusRun
- getUseWeights() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- getValidationError() - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- getValidationError() - Method in class si.ijs.kt.clus.main.ClusRun
- getValidationError() - Method in class si.ijs.kt.clus.main.ClusSummary
- getValidationError() - Method in class si.ijs.kt.clus.model.ClusModelInfo
- getValidationSetPercentage() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
Percentage of training data to use as validation set when selecting the best sampled rule set
- getValue() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- getValue() - Method in class si.ijs.kt.clus.ext.semisupervised.utils.IndiceValuePair
- getValue() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileBool
- getValue() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileDouble
- getValue() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileEnum
- getValue() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileEnumList
- getValue() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileInt
- getValue() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominal
- getValue() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileString
- getValue() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrDouble
- getValue() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrInt
- getValue() - Method in class si.ijs.kt.clus.util.jeans.util.compound.DoubleObject
- getValue() - Method in class si.ijs.kt.clus.util.jeans.util.compound.IntObject
- getValue() - Method in class si.ijs.kt.clus.util.jeans.util.list.MyIntList
- getValue(int) - Method in class si.ijs.kt.clus.data.type.primitive.IndexAttrType
- getValue(int) - Method in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- getValue(int) - Method in class si.ijs.kt.clus.ext.structuredTypes.Tuple
- getValue(int) - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeries
- getValue(int) - Method in class si.ijs.kt.clus.model.test.SubsetTest
- getValue(int) - Method in interface si.ijs.kt.clus.util.jeans.math.matrix.MySparseVector
- getValue(String) - Method in class si.ijs.kt.clus.util.jeans.io.range.NominalType
- getValue(ClusReader, String) - Method in class si.ijs.kt.clus.data.type.primitive.IndexAttrType.MyReader
- getValue(DataTuple) - Method in class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrType
- getValue(DataTuple, ClusAttrType) - Method in class si.ijs.kt.clus.distance.primitive.SearchDistance
-
Returns value for a given tuple and attribute.
- getValueIndex(String) - Method in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- getValueOrMissing(int) - Method in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- getValues() - Method in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- getValues() - Method in class si.ijs.kt.clus.ext.structuredTypes.Set
- getValues() - Method in class si.ijs.kt.clus.ext.structuredTypes.Tuple
- getValues() - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeries
- getValues() - Method in class si.ijs.kt.clus.util.jeans.math.SingleStatList
- getValuesNoCopy() - Method in class si.ijs.kt.clus.ext.structuredTypes.Set
- getValuesNoCopy() - Method in class si.ijs.kt.clus.ext.structuredTypes.Tuple
- getValuesNoCopy() - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeries
- getValueType() - Method in class si.ijs.kt.clus.data.type.BitwiseNominalAttrType
- getValueType() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- getValueType() - Method in class si.ijs.kt.clus.data.type.complex.SetAttrType
- getValueType() - Method in class si.ijs.kt.clus.data.type.complex.TupleAttrType
- getValueType() - Method in class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrType
- getValueType() - Method in class si.ijs.kt.clus.data.type.primitive.IndexAttrType
- getValueType() - Method in class si.ijs.kt.clus.data.type.primitive.IntegerAttrType
- getValueType() - Method in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- getValueType() - Method in class si.ijs.kt.clus.data.type.primitive.NumericAttrType
- getValueType() - Method in class si.ijs.kt.clus.data.type.primitive.SparseNumericAttrType
- getValueType() - Method in class si.ijs.kt.clus.data.type.primitive.StringAttrType
- getValueType() - Method in class si.ijs.kt.clus.data.type.primitive.TimeSeriesAttrType
- getVarBasedDispNormWeight() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- getVariance() - Method in class si.ijs.kt.clus.util.jeans.math.SingleStat
- getVariance(double[]) - Static method in class si.ijs.kt.clus.ext.semisupervised.Helper
- getVariance(int) - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- getVarLisa(int) - Method in class si.ijs.kt.clus.statistic.GISStat
-
Deprecated.
- getVarLisa(ClusAttributeWeights) - Method in class si.ijs.kt.clus.statistic.GISStat
-
Deprecated.
- getVarLisaDiff(ClusAttributeWeights, ClusStatistic) - Method in class si.ijs.kt.clus.statistic.GISStat
-
Deprecated.
- getVector() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileArray
- getVector(ClassHierarchy) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- getVectorBoolean(ClassHierarchy) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- getVectorBooleanNodeAndAncestors(ClassHierarchy) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- getVectorLength() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- getVectorLength() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector
- getVectorNodeAndAncestors(ClassHierarchy) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- getVectorSize() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileEnumList
- getVectorString(DataTuple) - Method in class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrType
- getVerbose() - Method in class si.ijs.kt.clus.main.settings.section.SettingsGeneral
- getViolatedConstraintsRCCC() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- getVirtualRootWeight() - Method in interface si.ijs.kt.clus.distance.hierarchies.HierBasicDistance
- getVirtualRootWeight() - Method in class si.ijs.kt.clus.distance.hierarchies.HierLevelDistance
- getVirtualRootWeight() - Method in class si.ijs.kt.clus.distance.hierarchies.HierWeightSPath
- getVirtualRootWeight() - Method in class si.ijs.kt.clus.distance.hierarchies.HierWPenalty
- getVisitor() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- getVisitor() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- getVisitor(int) - Method in class si.ijs.kt.clus.util.jeans.util.Visitable
- getVotes() - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- getVotesForTuple(DataTuple) - Static method in class si.ijs.kt.clus.ext.ensemble.ClusOOBErrorEstimate
- getVPItem() - Method in class si.ijs.kt.clus.algo.kNN.methods.vpTree.VPNode
- getWeight() - Method in class si.ijs.kt.clus.data.rows.DataTuple
- getWeight(int) - Method in class si.ijs.kt.clus.algo.kNN.distance.valentin.VectorDistance
- getWeight(int) - Method in class si.ijs.kt.clus.data.attweights.ClusAttributeWeights
- getWeight(int) - Method in class si.ijs.kt.clus.data.attweights.ClusNormalizedAttributeWeights
- getWeight(int) - Method in class si.ijs.kt.clus.distance.hierarchies.HierWeightSPath
- getWeight(int) - Method in class si.ijs.kt.clus.distance.hierarchies.HierWPenalty
- getWeight(int) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- getWeight(int) - Method in class si.ijs.kt.clus.ext.hierarchical.HierNodeWeights
- getWeight(int) - Method in class si.ijs.kt.clus.selection.BagSelection
- getWeight(int) - Method in class si.ijs.kt.clus.selection.ClusSelection
- getWeight(int) - Method in class si.ijs.kt.clus.selection.OOBSelection
- getWeight(String) - Method in class si.ijs.kt.clus.ext.hierarchicalmtr.ClusHMTRHierarchy
- getWeight(ClusAttrType) - Method in class si.ijs.kt.clus.algo.kNN.distance.attributeWeighting.AttributeWeighting
-
Returns weight for given attribute.
- getWeight(ClusAttrType) - Method in class si.ijs.kt.clus.algo.kNN.distance.attributeWeighting.NoWeighting
- getWeight(ClusAttrType) - Method in class si.ijs.kt.clus.algo.kNN.distance.attributeWeighting.RandomForestWeighting
- getWeight(ClusAttrType) - Method in class si.ijs.kt.clus.algo.kNN.distance.attributeWeighting.UserDefinedWeighting
- getWeight(ClusAttrType) - Method in class si.ijs.kt.clus.data.attweights.ClusAttributeWeights
- getWeight(ClusAttrType) - Method in class si.ijs.kt.clus.data.attweights.ClusNormalizedAttributeWeights
- getWeightCov(int, int) - Method in class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
-
Return the right stored covariance
- getWeighting() - Method in class si.ijs.kt.clus.distance.ClusDistance
- getWeightLabeled() - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
-
Get weight of labeled examples, if there are
- getWeightNeighbours() - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ReliefModel
- getWeights() - Method in class si.ijs.kt.clus.algo.rules.probabilistic.ClusRuleProbabilisticRuleSetInduceWeights
- getWeights() - Method in class si.ijs.kt.clus.data.attweights.ClusAttributeWeights
- getWeights() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- getWeights() - Method in class si.ijs.kt.clus.ext.hierarchical.HierNodeWeights
- getWeightsString() - Method in class si.ijs.kt.clus.algo.rules.probabilistic.ClusRuleProbabilisticRuleSetInduceWeights
- getWorstModel() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeam
- getWorstNearestDistance() - Method in class si.ijs.kt.clus.algo.kNN.methods.NNStack
-
Returns distance of farthest nearest neighbor.
- getWriter() - Method in class si.ijs.kt.clus.main.ClusOutput
- getWriter() - Method in class si.ijs.kt.clus.util.jeans.io.MyFile
- getWrt() - Method in class si.ijs.kt.clus.model.processor.PredictionWriter
- getX() - Method in class si.ijs.kt.clus.util.jeans.math.SingleStatList
- getXValFile() - Method in class si.ijs.kt.clus.main.settings.section.SettingsData
- getXValFolds() - Method in class si.ijs.kt.clus.main.settings.section.SettingsData
- getXValSelection() - Method in class si.ijs.kt.clus.Clus
- getXValSelection(ClusData) - Method in class si.ijs.kt.clus.data.ClusSchema
- getXValSelection(Settings, int) - Method in class si.ijs.kt.clus.algo.tdidt.tune.CDTuneSizeConstrPruning
- getY() - Method in class si.ijs.kt.clus.util.jeans.math.SingleStatList
- gini(int) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- giniDifference(int, ClassificationStat) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- GIS - Enum constant in enum class si.ijs.kt.clus.data.type.ClusAttrType.AttributeUseType
- GIS - Enum constant in enum class si.ijs.kt.clus.data.type.ClusAttrType.Status
- GISHeuristic - Class in si.ijs.kt.clus.heuristic
- GISHeuristic(ClusAttributeWeights, ClusAttrType[], Settings) - Constructor for class si.ijs.kt.clus.heuristic.GISHeuristic
- GISStat - Class in si.ijs.kt.clus.statistic
-
Deprecated.
- GISStat(Settings, NumericAttrType[]) - Constructor for class si.ijs.kt.clus.statistic.GISStat
-
Deprecated.
- GISStat(Settings, NumericAttrType[], boolean) - Constructor for class si.ijs.kt.clus.statistic.GISStat
-
Deprecated.
- giveFormForWeightOptimization(PrintWriter, RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
Returns the form of this rule set that can be used for weight optimization.
- giveParallelisationWarning(ClusEnsembleInduce.ParallelTrap) - Static method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce
- Global - Class in si.ijs.kt.clus.main
- Global() - Constructor for class si.ijs.kt.clus.main.Global
- GlobalGeary - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMeasure
- GlobalGearyDistance - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMeasure
- GlobalGetis - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMeasure
- globalInitialize(ClusSchema) - Method in class si.ijs.kt.clus.model.processor.PredictionWriter
- GlobalMoran - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMeasure
- GlobalMoranDistance - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMeasure
- goDown(int) - Method in class si.ijs.kt.clus.util.jeans.tree.TreeIterator
- gotoNext() - Method in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- gotoNextNode() - Method in class si.ijs.kt.clus.util.jeans.tree.LeafTreeIterator
- gotoPosition(long) - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- goUp() - Method in class si.ijs.kt.clus.util.jeans.tree.TreeIterator
- greatestKelements(double[], int) - Static method in class si.ijs.kt.clus.ext.semisupervised.Helper
-
Returns K greatest elements of an array, together with indices
- GreedySIT - Class in si.ijs.kt.clus.addon.sit.searchAlgorithm
- GreedySIT() - Constructor for class si.ijs.kt.clus.addon.sit.searchAlgorithm.GreedySIT
- grOrEq(double, double) - Static method in class si.ijs.kt.clus.util.ClusUtil
- GROUP - Static variable in class si.ijs.kt.clus.util.jeans.util.MSStringTokenizer
- grow - Variable in class si.ijs.kt.clus.util.jeans.util.IntegerStack
- grow() - Method in class si.ijs.kt.clus.util.jeans.util.array.MDoubleArray
- grow() - Method in class si.ijs.kt.clus.util.jeans.util.array.MIntArray
- GSMDistance - Class in si.ijs.kt.clus.distance.complex.sets
- GSMDistance - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SetDistance
- GSMDistance(SetAttrType, ClusDistance, int) - Constructor for class si.ijs.kt.clus.distance.complex.sets.GSMDistance
- GSMDistanceBitVector - Class in si.ijs.kt.clus.distance.complex.sets
- GSMDistanceBitVector(SetAttrType, ClusDistance, int) - Constructor for class si.ijs.kt.clus.distance.complex.sets.GSMDistanceBitVector
H
- H_EQ - Static variable in class si.ijs.kt.clus.model.test.NodeTest
- HammingLoss - Class in si.ijs.kt.clus.error.mlc
-
Hamming loss is used in multi-label classification scenario.
- HammingLoss - Class in si.ijs.kt.clus.error.mlcForHmlc
- HammingLoss - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsMLC.MultiLabelMeasures
- HammingLoss - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRelief.MultilabelDistance
- HammingLoss - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SetDistance
- HammingLoss() - Constructor for class si.ijs.kt.clus.error.mlcForHmlc.HammingLoss
- HammingLoss(ClusErrorList, NominalAttrType[]) - Constructor for class si.ijs.kt.clus.error.mlc.HammingLoss
- HammingLossDistance - Class in si.ijs.kt.clus.distance.complex.sets
- HammingLossDistance(SetAttrType, ClusDistance) - Constructor for class si.ijs.kt.clus.distance.complex.sets.HammingLossDistance
- HammingLossDistance(SetAttrType, ClusDistance, int) - Constructor for class si.ijs.kt.clus.distance.complex.sets.HammingLossDistance
- HammingLossDistance(ClusDistance, int) - Constructor for class si.ijs.kt.clus.distance.complex.sets.HammingLossDistance
- HammingLossError - Class in si.ijs.kt.clus.error.sets
- HammingLossError(ClusErrorList, SetAttrType[], ClusAttributeWeights, boolean, ClusDistance, int) - Constructor for class si.ijs.kt.clus.error.sets.HammingLossError
- HammingLossError(ClusErrorList, SetAttrType[], ClusAttributeWeights, ClusDistance, int) - Constructor for class si.ijs.kt.clus.error.sets.HammingLossError
- HammingLossError(ClusErrorList, SetAttrType[], ClusDistance, int) - Constructor for class si.ijs.kt.clus.error.sets.HammingLossError
- hasActiveChild(ClassTerm, boolean[]) - Static method in class si.ijs.kt.clus.ext.hierarchical.HierIO
- hasArrayIndexNames() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- hasAttrHeuristic() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- hasAttrHeuristic() - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- hasAttributeType(ClusAttrType.AttributeUseType, ClusAttrType.AttributeType) - Method in class si.ijs.kt.clus.data.ClusSchema
- hasBeamConstraintFile() - Method in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- hasBestTest() - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- hasBestTest() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
-
Inspectors concerning test
- hasBestTest() - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- hasBitEqualToOne(boolean[]) - Static method in class si.ijs.kt.clus.main.ClusStatManager
- hasBothPosAndNegEx() - Method in class si.ijs.kt.clus.error.BinaryPredictionList
- hasBranchLabels() - Method in class si.ijs.kt.clus.model.test.NodeTest
- hasBranchLabels() - Method in class si.ijs.kt.clus.model.test.NominalTest
- hasChildren() - Method in class si.ijs.kt.clus.ext.hierarchicalmtr.ClusHMTRNode
- hasChildrenIn(boolean[]) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- hasClass(int) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- hasClusteringStat() - Method in class si.ijs.kt.clus.main.ClusStatManager
- hasConstants() - Method in class si.ijs.kt.clus.model.test.ClusRuleConstraintInduceTest
- hasConstants() - Method in class si.ijs.kt.clus.model.test.NodeTest
- hasConstants() - Method in class si.ijs.kt.clus.model.test.NumericTest
- hasConstants() - Method in class si.ijs.kt.clus.model.test.SubsetTest
- hasConstraintFile() - Method in class si.ijs.kt.clus.main.settings.section.SettingsConstraints
- hasDefinitionFile() - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- hasErrors() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- hasEvaluations() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamAttrSelector
- hasExtraError(int) - Method in class si.ijs.kt.clus.model.ClusModelInfo
- hashCode() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- hashCode() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- hashCode() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- hashCode() - Method in class si.ijs.kt.clus.model.test.ClusRuleConstraintInduceTest
- hashCode() - Method in class si.ijs.kt.clus.model.test.InverseNumericTest
- hashCode() - Method in class si.ijs.kt.clus.model.test.NodeTest
- hashCode() - Method in class si.ijs.kt.clus.model.test.NominalTest
- hashCode() - Method in class si.ijs.kt.clus.model.test.NumericTest
- hashCode() - Method in class si.ijs.kt.clus.model.test.SubsetTest
- hashCode() - Method in class si.ijs.kt.clus.util.jeans.util.compound.DoubleBoolean
-
Hash function that is used for adding objects of the type
DoubleBooleanCount
to theclus.error.BinaryPredictionList.m_ValueSet
. - hashCode() - Method in class si.ijs.kt.clus.util.UniqueNodeIdentifier
- hasHierEvalClasses() - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- hasILevelCFile() - Method in class si.ijs.kt.clus.main.settings.section.SettingsILevelC
- hasList() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamTreeElem
- hasList() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamTreeElemOld
- hasMissing() - Method in class si.ijs.kt.clus.data.ClusSchema
-
Methods concerning missing values *
- hasMissing() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- hasModel() - Method in class si.ijs.kt.clus.model.ClusModelInfo
- hasModel(int) - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- hasMoreAreas() - Method in class si.ijs.kt.clus.util.jeans.tree.BottomLevelIterator
- hasMoreElements() - Method in class si.ijs.kt.clus.util.jeans.util.EnumerationGenerator
-
Returns true if there are still elements to be returned by the Enumeration.
- hasMoreElements() - Method in class si.ijs.kt.clus.util.jeans.util.MSStringTokenizer
- hasMoreInts() - Method in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- hasMoreNodes() - Method in class si.ijs.kt.clus.util.jeans.tree.CompleteTreeIterator
- hasMoreNodes() - Method in class si.ijs.kt.clus.util.jeans.tree.LeafTreeIterator
- hasMoreTokens() - Method in class si.ijs.kt.clus.data.io.ClusReader
- hasMoreTokens() - Method in class si.ijs.kt.clus.util.jeans.util.MSStringTokenizer
- hasMoreTokens() - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- hasMoreTokens() - Method in class si.ijs.kt.clus.util.jeans.util.MStringTokenizer
- hasMoreTokens() - Method in class si.ijs.kt.clus.util.jeans.util.MTokenizer
- hasMoreTokens() - Method in class si.ijs.kt.clus.util.jeans.util.MultiDelimStringTokenizer
- hasName() - Method in class si.ijs.kt.clus.model.ClusModelInfo
- hasNext() - Method in class si.ijs.kt.clus.util.jeans.util.list.MyListIter
- hasNonTrivialWeights() - Method in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
- hasNumMissing(int) - Method in class si.ijs.kt.clus.data.rows.DataTuple
-
Checks if the numeric attribute at a specified location is missing.
- hasOption(String) - Method in class si.ijs.kt.clus.util.jeans.util.cmdline.CMDLineArgs
- hasParent() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNode
- hasParents(ClusHMTRNode) - Method in class si.ijs.kt.clus.ext.hierarchicalmtr.ClusHMTRHierarchy
- hasPrediction() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- hasPruneSet() - Method in class si.ijs.kt.clus.Clus
- hasRandomSeed() - Method in class si.ijs.kt.clus.main.settings.section.SettingsGeneral
- hasRuleErrors() - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- hasSummary() - Method in class si.ijs.kt.clus.error.NominalCorrelation
- hasSummary() - Method in class si.ijs.kt.clus.error.PearsonCorrelation
- hasSummary() - Method in class si.ijs.kt.clus.error.SpearmanRankCorrelation
- hasTestError() - Method in class si.ijs.kt.clus.main.ClusSummary
- hasTestError() - Method in class si.ijs.kt.clus.model.ClusModelInfo
- hasTestSet() - Method in class si.ijs.kt.clus.Clus
- hasTrainError() - Method in class si.ijs.kt.clus.model.ClusModelInfo
- hasTreeOptimize(SettingsTree.TreeOptimizeValues) - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- hasUnknownBranch() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- hasUnknownBranch() - Method in class si.ijs.kt.clus.model.test.NodeTest
- hasValidError() - Method in class si.ijs.kt.clus.model.ClusModelInfo
- hasVector() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- hasWord(String) - Method in class si.ijs.kt.clus.util.tools.textproc.StopList
- Helper - Class in si.ijs.kt.clus.ext.semisupervised
-
Some handy functions
- Helper() - Constructor for class si.ijs.kt.clus.ext.semisupervised.Helper
- HEURISTIC_ERROR - Static variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- HEURISTIC_ERROR - Static variable in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- HEURISTIC_SS - Static variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- HEURISTIC_SS - Static variable in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- HeuristicComparator() - Constructor for class si.ijs.kt.clus.ext.optiontree.FindBestTests.HeuristicComparator
- heuristicNeedsCombStat() - Method in class si.ijs.kt.clus.main.ClusStatManager
- HeurOnly - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.CoveringMethod
-
No covering, only heuristic
- HIER_CLASS_AND_REG - Enum constant in enum class si.ijs.kt.clus.main.ClusStatManager.Mode
- HIER_DEBUG - Static variable in class si.ijs.kt.clus.Clus
- HIERACHICAL_MULTI_LABEL_CLASSIFICATION - Enum constant in enum class si.ijs.kt.clus.main.ClusStatManager.TargetType
- HIERARCHICAL - Enum constant in enum class si.ijs.kt.clus.main.ClusStatManager.Mode
- HIERARCHICAL_MTR - Enum constant in enum class si.ijs.kt.clus.main.ClusStatManager.Mode
- HierarchicalMultiLabelDistance - Class in si.ijs.kt.clus.distance.primitive.relief
- HierarchicalMultiLabelDistance() - Constructor for class si.ijs.kt.clus.distance.primitive.relief.HierarchicalMultiLabelDistance
- Hierarchy - Enum constant in enum class si.ijs.kt.clus.Clus.DebugType
- HIERARCY_SEPARATOR - Static variable in class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- HierBasicDistance - Interface in si.ijs.kt.clus.distance.hierarchies
- HierClassTresholdPruner - Class in si.ijs.kt.clus.ext.hierarchical
- HierClassTresholdPruner(double[]) - Constructor for class si.ijs.kt.clus.ext.hierarchical.HierClassTresholdPruner
- HierClassWiseAccuracy - Class in si.ijs.kt.clus.error.hmlc
- HierClassWiseAccuracy(ClusErrorList, ClassHierarchy) - Constructor for class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy
- HierErrorMeasures - Class in si.ijs.kt.clus.error.hmlc
- HierErrorMeasures(ClusErrorList, ClassHierarchy, double[], SettingsHMLC.HierarchyMeasures, boolean, boolean) - Constructor for class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- HierIO - Class in si.ijs.kt.clus.ext.hierarchical
- HierIO() - Constructor for class si.ijs.kt.clus.ext.hierarchical.HierIO
- HierJaccardDistance - Class in si.ijs.kt.clus.distance.hierarchies
- HierJaccardDistance(ClassesAttrType) - Constructor for class si.ijs.kt.clus.distance.hierarchies.HierJaccardDistance
- HierLevelAccuracy - Class in si.ijs.kt.clus.error.hmlc
- HierLevelAccuracy(ClusErrorList, ClassHierarchy) - Constructor for class si.ijs.kt.clus.error.hmlc.HierLevelAccuracy
- HierLevelDistance - Class in si.ijs.kt.clus.distance.hierarchies
- HierLevelDistance() - Constructor for class si.ijs.kt.clus.distance.hierarchies.HierLevelDistance
- HierMatrixOutput - Class in si.ijs.kt.clus.ext.hierarchical
- HierMatrixOutput() - Constructor for class si.ijs.kt.clus.ext.hierarchical.HierMatrixOutput
- HierModelPostProc - Class in si.ijs.kt.clus.ext.hierarchical
- HierModelPostProc() - Constructor for class si.ijs.kt.clus.ext.hierarchical.HierModelPostProc
- HierNodeWeights - Class in si.ijs.kt.clus.ext.hierarchical
- HierNodeWeights() - Constructor for class si.ijs.kt.clus.ext.hierarchical.HierNodeWeights
- HierPrologOutput - Class in si.ijs.kt.clus.ext.hierarchical
- HierPrologOutput() - Constructor for class si.ijs.kt.clus.ext.hierarchical.HierPrologOutput
- HierRemoveInsigClasses - Class in si.ijs.kt.clus.ext.hierarchical
- HierRemoveInsigClasses(ClusData, PruneTree, boolean, ClassHierarchy) - Constructor for class si.ijs.kt.clus.ext.hierarchical.HierRemoveInsigClasses
- HierRMSError - Class in si.ijs.kt.clus.error.hmlc
- HierRMSError(ClusErrorList, ClusAttributeWeights, boolean, boolean, boolean, ClassHierarchy) - Constructor for class si.ijs.kt.clus.error.hmlc.HierRMSError
- HierRMSError(ClusErrorList, ClusAttributeWeights, boolean, boolean, ClassHierarchy) - Constructor for class si.ijs.kt.clus.error.hmlc.HierRMSError
- HierSingleLabelStat - Class in si.ijs.kt.clus.statistic
- HierSingleLabelStat(Settings, ClassHierarchy) - Constructor for class si.ijs.kt.clus.statistic.HierSingleLabelStat
- HierSingleLabelStat(Settings, ClassHierarchy, boolean) - Constructor for class si.ijs.kt.clus.statistic.HierSingleLabelStat
- HierSumPairwiseDistancesStat - Class in si.ijs.kt.clus.statistic
- HierSumPairwiseDistancesStat(Settings, ClassHierarchy, ClusDistance) - Constructor for class si.ijs.kt.clus.statistic.HierSumPairwiseDistancesStat
- HierThresholdCalibration - Interface in si.ijs.kt.clus.ext.hierarchical.thresholdcalibration
- HierWeightSPath - Class in si.ijs.kt.clus.distance.hierarchies
- HierWeightSPath(int, double) - Constructor for class si.ijs.kt.clus.distance.hierarchies.HierWeightSPath
- HierWPenalty - Class in si.ijs.kt.clus.distance.hierarchies
- HierWPenalty(int, double) - Constructor for class si.ijs.kt.clus.distance.hierarchies.HierWPenalty
- hMax - Variable in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- hMaxB - Variable in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- hMaxB - Variable in class si.ijs.kt.clus.algo.split.FindBestTest
- HMCAverageNodeWiseModels - Class in si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass
- HMCAverageNodeWiseModels(HMCAverageSingleClass, double[][][]) - Constructor for class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageNodeWiseModels
- HMCAverageSingleClass - Class in si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass
- HMCAverageSingleClass() - Constructor for class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageSingleClass
- HMCAverageTreeModel - Class in si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass
- HMCAverageTreeModel(ClusStatistic, double[][][], int, int) - Constructor for class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageTreeModel
- HMCConvertDAGData - Class in si.ijs.kt.clus.addon.hmc.HMCConvertDAGData
- HMCConvertDAGData() - Constructor for class si.ijs.kt.clus.addon.hmc.HMCConvertDAGData.HMCConvertDAGData
- HMCConvertToSC - Class in si.ijs.kt.clus.addon.hmc.HMCConvertToSC
- HMCConvertToSC() - Constructor for class si.ijs.kt.clus.addon.hmc.HMCConvertToSC.HMCConvertToSC
- HMCNodeWiseModels - Class in si.ijs.kt.clus.addon.hmc.HMCNodeWiseModels.hmcnwmodels
- HMCNodeWiseModels() - Constructor for class si.ijs.kt.clus.addon.hmc.HMCNodeWiseModels.hmcnwmodels.HMCNodeWiseModels
- hMin - Variable in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- hMinB - Variable in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- hMinB - Variable in class si.ijs.kt.clus.algo.split.FindBestTest
- HMTR_ERROR_POSTFIX - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsHMTR
- howMuchWeightChanges(int) - Method in class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
-
Compute the change of target weight because of the gradient
- Huber - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.OptimizationLossFunction
-
Optimization Loss function type.
I
- ICVPairwiseDistancesError - Class in si.ijs.kt.clus.error
- ICVPairwiseDistancesError(ClusErrorList, ClusDistance) - Constructor for class si.ijs.kt.clus.error.ICVPairwiseDistancesError
- ICVPairwiseDistancesError(ClusErrorList, ClusDistance, String) - Constructor for class si.ijs.kt.clus.error.ICVPairwiseDistancesError
- IDeepCloner - Interface in si.ijs.kt.clus.util.cloner
-
used by fast cloners to deep clone objects
- IDumpCloned - Interface in si.ijs.kt.clus.util.cloner
- IFastCloner - Interface in si.ijs.kt.clus.util.cloner
-
allows a custom cloner to be created for a specific class.
- IfBetter - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.RuleAddingMethod
-
Only adds a rule to the rule set if it improves the rule set performance
- IfBetterBeam - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.RuleAddingMethod
-
Only adds a rule to the rule set if it improves the rule set performance.
- IFreezable - Interface in si.ijs.kt.clus.util.cloner
- Ignore - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.MissingClusteringAttributeHandlingType
- IInstantiationStrategy - Interface in si.ijs.kt.clus.util.cloner
- ILEVELC - Enum constant in enum class si.ijs.kt.clus.main.ClusStatManager.Mode
- ILevelCCannotLink - Static variable in class si.ijs.kt.clus.ext.ilevelc.ILevelConstraint
- ILevelCComponent() - Constructor for class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI.ILevelCComponent
- ILevelCGUI - Class in si.ijs.kt.clus.addon.ILevelC.ilevelc
- ILevelCGUI() - Constructor for class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI
- ILevelCGUI.ClosureListener - Class in si.ijs.kt.clus.addon.ILevelC.ilevelc
- ILevelCGUI.ILevelCComponent - Class in si.ijs.kt.clus.addon.ILevelC.ilevelc
- ILevelCGUI.ILevelMouseListener - Class in si.ijs.kt.clus.addon.ILevelC.ilevelc
- ILevelCGUI.LoadListener - Class in si.ijs.kt.clus.addon.ILevelC.ilevelc
- ILevelCGUI.SaveListener - Class in si.ijs.kt.clus.addon.ILevelC.ilevelc
- ILevelCHeurStat - Class in si.ijs.kt.clus.ext.ilevelc
- ILevelCHeurStat(Settings, ILevelCStatistic, int) - Constructor for class si.ijs.kt.clus.ext.ilevelc.ILevelCHeurStat
- iLevelCInduce(ClusNode) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- ILevelCInduce - Class in si.ijs.kt.clus.ext.ilevelc
- ILevelCInduce(ClusSchema, Settings) - Constructor for class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- ILevelCMustLink - Static variable in class si.ijs.kt.clus.ext.ilevelc.ILevelConstraint
- ILevelConstraint - Class in si.ijs.kt.clus.ext.ilevelc
- ILevelConstraint(DataTuple, DataTuple, int) - Constructor for class si.ijs.kt.clus.ext.ilevelc.ILevelConstraint
- ILevelCRandIndex - Class in si.ijs.kt.clus.ext.ilevelc
- ILevelCRandIndex(ClusErrorList, NominalAttrType) - Constructor for class si.ijs.kt.clus.ext.ilevelc.ILevelCRandIndex
- ILevelCStatistic - Class in si.ijs.kt.clus.ext.ilevelc
- ILevelCStatistic(Settings, NumericAttrType[]) - Constructor for class si.ijs.kt.clus.ext.ilevelc.ILevelCStatistic
- ILevelCUtil - Class in si.ijs.kt.clus.ext.ilevelc
- ILevelCUtil() - Constructor for class si.ijs.kt.clus.ext.ilevelc.ILevelCUtil
- ILevelMouseListener() - Constructor for class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI.ILevelMouseListener
- Immutable - Annotation Interface in si.ijs.kt.clus.util.cloner
-
marks the specific class as immutable and the cloner avoids cloning it
- ImplicitLinearTerms - Class in si.ijs.kt.clus.util.tools.optimization
-
Class for including all the linear terms implicitly in the weight optimization procedure.
- ImplicitLinearTerms(RowData, ClusStatManager) - Constructor for class si.ijs.kt.clus.util.tools.optimization.ImplicitLinearTerms
-
Create implicit linear terms
- impute(ClusRun) - Static method in class si.ijs.kt.clus.ext.imputation.MissingTargetImputation
- impute(ClusRun, HashMap<Integer, ArrayList<Integer>>) - Static method in class si.ijs.kt.clus.ext.imputation.MissingTargetImputation
- Impute - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRelief.MissingTargetHandling
- imputeMissingTargetValues() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- IN_HEURISTIC - Static variable in class si.ijs.kt.clus.statistic.CombStat
- IN_OUTPUT - Static variable in class si.ijs.kt.clus.statistic.CombStat
- inc() - Method in class si.ijs.kt.clus.util.jeans.util.compound.DoubleBooleanCount
- inc(DoubleBooleanCount) - Method in class si.ijs.kt.clus.util.jeans.util.compound.DoubleBooleanCount
- inc_itemsetcpt() - Static method in class si.ijs.kt.clus.main.Global
- inc_treecpt() - Static method in class si.ijs.kt.clus.main.Global
- incCTree() - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveDFSearch
- includesHierarchical() - Method in enum class si.ijs.kt.clus.main.ClusStatManager.Mode
- includeZeroFreqClasses(int) - Method in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- incNbMissing() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- incorrectCoverAcrossAllRules() - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- incrementCoverageOpt(int[]) - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusEnsembleROSInfo
-
Used when ensembles run in optimized mode
- incrementPredictions(double[][], double[][]) - Static method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptimization
-
Returns the componentwise sum of the current sums and another predictions
- incrementPredictions(double[][], double[][], int) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptimization
- incrementPredictions(double[], double[], double) - Static method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptimization
-
The average predictions
avg_predictions
ofnb_models - 1
, and the predictionspredictions
of one additional model are combined into the average predictions of allnb_models
. - incrementProximities(DataTuple) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
-
Store indices of tuples in leaf nodes.
- incValue() - Method in class si.ijs.kt.clus.util.jeans.util.compound.IntObject
- Index - Enum constant in enum class si.ijs.kt.clus.data.type.ClusAttrType.AttributeType
- Index - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsOutput.ShowInfo
- IndexAttrType - Class in si.ijs.kt.clus.data.type.primitive
- IndexAttrType(String) - Constructor for class si.ijs.kt.clus.data.type.primitive.IndexAttrType
- IndexAttrType(String, int, int) - Constructor for class si.ijs.kt.clus.data.type.primitive.IndexAttrType
- IndexAttrType.MyReader - Class in si.ijs.kt.clus.data.type.primitive
- IndexedItem - Class in si.ijs.kt.clus.util.jeans.util.compound
- IndexedItem() - Constructor for class si.ijs.kt.clus.util.jeans.util.compound.IndexedItem
- IndexMergeSorter - Class in si.ijs.kt.clus.util.tools.optimization
-
Merge sort which returns the indexes of the target array, not the target array.
- IndexMergeSorter() - Constructor for class si.ijs.kt.clus.util.tools.optimization.IndexMergeSorter
- indexOf(MyNode) - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- indexOf(Node) - Method in class si.ijs.kt.clus.util.jeans.tree.MyNode
- indexPoints() - Method in class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI.ILevelCComponent
- indexPoints() - Method in class si.ijs.kt.clus.ext.ilevelc.DerivedConstraintsComputer
- IndiceValuePair - Class in si.ijs.kt.clus.ext.semisupervised.utils
-
Structure that contains one int and one double
- IndiceValuePair(int, double) - Constructor for class si.ijs.kt.clus.ext.semisupervised.utils.IndiceValuePair
- induce(ArrayList<ClusNode>, ArrayList<RowData>, ArrayList<RowData>, int) - Method in class si.ijs.kt.clus.ext.bestfirst.BestFirstInduce
- induce(ClusNode, RowData, Object[], ClusRandomNonstatic) - Method in class si.ijs.kt.clus.algo.tdidt.DepthFirstInduceSparse
- induce(ClusNode, RowData, ClusRandomNonstatic) - Method in class si.ijs.kt.clus.algo.tdidt.DepthFirstInduce
- induce(ClusNode, RowData, ClusRandomNonstatic) - Method in class si.ijs.kt.clus.algo.tdidt.DepthFirstInduceSparse
- induce(RowData, ArrayList) - Method in class si.ijs.kt.clus.ext.ilevelc.COPKMeans
- induce(RowData, RowData, ArrayList, int) - Method in class si.ijs.kt.clus.ext.ilevelc.MPCKMeansWrapper
- induce(ClusRun) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
- induce(ClusRun) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleInduce
-
Calls the appropriate rule learning method (e.g.
- induce(ClusRun, ClusInductionAlgorithmType) - Method in class si.ijs.kt.clus.Clus
-
Train the model for given algorithm type.
- induce(ClusRun, MultiScore) - Method in class si.ijs.kt.clus.ext.optxval.OptXValInduce
- induceAll(ClusRun) - Method in class si.ijs.kt.clus.algo.ClusInductionAlgorithm
- induceAll(ClusRun) - Method in class si.ijs.kt.clus.algo.ClusInductionAlgorithmType
-
Calls the induce function for each of the learning algorithms of this TYPE.
- induceAll(ClusRun) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
- induceAll(ClusRun) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleFromTreeInduce
-
Induces the rule models.
- induceAll(ClusRun) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleInduce
- induceAll(ClusRun) - Method in class si.ijs.kt.clus.algo.rules.probabilistic.ClusRuleProbabilisticRuleSetInduce
- induceAll(ClusRun) - Method in class si.ijs.kt.clus.algo.rules.tune.FIREROSTune
- induceAll(ClusRun) - Method in class si.ijs.kt.clus.algo.tdidt.ClusSITDecisionTree
- induceAll(ClusRun) - Method in class si.ijs.kt.clus.algo.tdidt.tune.CDTTuneFTest
- induceAll(ClusRun) - Method in class si.ijs.kt.clus.algo.tdidt.tune.CDTuneSizeConstrPruning
- induceAll(ClusRun) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamInduce
- induceAll(ClusRun) - Method in class si.ijs.kt.clus.ext.ensemble.ClusBoostingInduce
- induceAll(ClusRun) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce
-
Train a decision tree ensemble with an algorithm given in settings
- induceAll(ClusRun) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveInduce
- induceAll(ClusRun) - Method in class si.ijs.kt.clus.ext.optiontree.DepthFirstInduceWithOptions
- induceBagging(ClusRun) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce
- induceBaggingSubspaces(ClusRun) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce
- induceDefault(ClusRun) - Static method in class si.ijs.kt.clus.algo.tdidt.ClusDecisionTree
- induceDefaultModel(ClusRun) - Static method in class si.ijs.kt.clus.algo.kNN.KnnClassifier
-
Induced default model - prediction to majority class.
- induceOneBag(ClusRun, int, int, OOBSelection, TupleIterator, TupleIterator, BagSelection, ClusRandomNonstatic, ClusStatManager) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce
- InduceOneBagCallable - Class in si.ijs.kt.clus.ext.ensemble.callable
- InduceOneBagCallable(ClusEnsembleInduce, ClusRun, int, int, OOBSelection, TupleIterator, TupleIterator, BagSelection, ClusRandomNonstatic, ClusStatManager) - Constructor for class si.ijs.kt.clus.ext.ensemble.callable.InduceOneBagCallable
- inducePre(ClusNode, RowData) - Method in class si.ijs.kt.clus.ext.bestfirst.BestFirstInduce
- induceRandomForest(ClusNode, RowData, ClusRandomNonstatic) - Method in class si.ijs.kt.clus.algo.tdidt.DepthFirstInduceSparse
- induceRandomForestRecursive(ClusNode, RowData, ClusRandomNonstatic) - Method in class si.ijs.kt.clus.algo.tdidt.DepthFirstInduceSparse
- induceRandomForestRecursive2(ClusNode, RowData, Object[], ClusRandomNonstatic) - Method in class si.ijs.kt.clus.algo.tdidt.DepthFirstInduceSparse
- induceRandomly(ClusRun) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
-
Method that induces a specified number of random rules.
- induceRandomly(ClusRun) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleInduce
-
Method that induces a specified number of random rules.
- induceRandomSubspaces(ClusRun) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce
- induceRecursive(ClusNode, RowData) - Method in class si.ijs.kt.clus.algo.tdidt.ConstraintDFInduce
- induceRForestNoBootstrap(ClusRun) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce
- induceSingle(ClusRun) - Method in class si.ijs.kt.clus.algo.ClusInductionAlgorithmType
- induceSingle(ClusRun) - Method in class si.ijs.kt.clus.algo.tdidt.tune.CDTuneSizeConstrPruning
- induceSingleUnpruned(RowData) - Method in class si.ijs.kt.clus.ext.bestfirst.BestFirstInduce
- induceSingleUnpruned(RowData) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ReliefInduce
- induceSingleUnpruned(RowData, ClusRandomNonstatic) - Method in class si.ijs.kt.clus.algo.tdidt.DepthFirstInduce
- induceSingleUnpruned(ClusRun) - Method in class si.ijs.kt.clus.algo.ClusInductionAlgorithm
- induceSingleUnpruned(ClusRun) - Method in class si.ijs.kt.clus.algo.ClusInductionAlgorithmType
- induceSingleUnpruned(ClusRun) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
- induceSingleUnpruned(ClusRun) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleFromTreeInduce
-
Induces rules from ensemble tree, similar to ClusRuleInduce.induce
- induceSingleUnpruned(ClusRun) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleInduce
- induceSingleUnpruned(ClusRun) - Method in class si.ijs.kt.clus.algo.rules.probabilistic.ClusRuleProbabilisticRuleSetInduce
- induceSingleUnpruned(ClusRun) - Method in class si.ijs.kt.clus.algo.tdidt.ConstraintDFInduce
- induceSingleUnpruned(ClusRun) - Method in class si.ijs.kt.clus.algo.tdidt.DepthFirstInduce
- induceSingleUnpruned(ClusRun) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamInduce
- induceSingleUnpruned(ClusRun) - Method in class si.ijs.kt.clus.ext.bestfirst.BestFirstInduce
- induceSingleUnpruned(ClusRun) - Method in class si.ijs.kt.clus.ext.ensemble.ClusBoostingInduce
- induceSingleUnpruned(ClusRun) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce
- induceSingleUnpruned(ClusRun) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveInduce
- induceSingleUnpruned(ClusRun) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ReliefInduce
- induceSingleUnpruned(ClusRun) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- induceSingleUnpruned(ClusRun) - Method in class si.ijs.kt.clus.ext.optiontree.DepthFirstInduceWithOptions
- induceSingleUnpruned(ClusRun) - Method in class si.ijs.kt.clus.ext.optxval.OptXValInduce
- induceSingleUnpruned(ClusRun) - Method in class si.ijs.kt.clus.ext.semisupervised.ClusSelfTrainingFTFInduce
- induceSingleUnpruned(ClusRun) - Method in class si.ijs.kt.clus.ext.semisupervised.ClusSelfTrainingInduce
- induceSingleUnpruned(ClusRun) - Method in class si.ijs.kt.clus.ext.semisupervised.ClusSemiSupervisedPCTs
- induceSingleUnpruned(ClusRun, ClusRandomNonstatic) - Method in class si.ijs.kt.clus.algo.tdidt.DepthFirstInduce
- induceSingleUnprunedBoosting(ClusRun) - Method in class si.ijs.kt.clus.ext.ensemble.ClusBoostingInduce
- INFINITY - Static variable in class si.ijs.kt.clus.main.settings.SettingsBase
- INFINITY_STRING - Static variable in class si.ijs.kt.clus.main.settings.SettingsBase
- INFINITY_VALUE - Static variable in class si.ijs.kt.clus.main.settings.SettingsBase
- info() - Static method in class si.ijs.kt.clus.util.ClusLogger
- info(double) - Static method in class si.ijs.kt.clus.util.ClusLogger
- info(String) - Static method in class si.ijs.kt.clus.util.ClusLogger
- INIFile - Class in si.ijs.kt.clus.util.jeans.io.ini
- INIFile() - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFile
- INIFileArray - Class in si.ijs.kt.clus.util.jeans.io.ini
- INIFileArray(String, double[]) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileArray
- INIFileArray(String, int) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileArray
- INIFileArray(String, int[]) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileArray
- INIFileArray(String, String[]) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileArray
- INIFileBool - Class in si.ijs.kt.clus.util.jeans.io.ini
- INIFileBool(String) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileBool
- INIFileBool(String, boolean) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileBool
- INIFileBool(String, String) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileBool
- INIFileDouble - Class in si.ijs.kt.clus.util.jeans.io.ini
- INIFileDouble(String) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileDouble
- INIFileDouble(String, double) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileDouble
- INIFileDouble(String, String) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileDouble
- INIFileEntry - Class in si.ijs.kt.clus.util.jeans.io.ini
- INIFileEntry(String) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileEntry
- INIFileEnum<T extends Enum<T>> - Class in si.ijs.kt.clus.util.jeans.io.ini
- INIFileEnum(String, T) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileEnum
- INIFileEnumList<T extends Enum<T>> - Class in si.ijs.kt.clus.util.jeans.io.ini
- INIFileEnumList(String, List<T>, Class<T>) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileEnumList
- INIFileEnumList(String, T) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileEnumList
- INIFileInt - Class in si.ijs.kt.clus.util.jeans.io.ini
- INIFileInt(String) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileInt
- INIFileInt(String, int) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileInt
- INIFileInt(String, String) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileInt
- INIFileNode - Class in si.ijs.kt.clus.util.jeans.io.ini
- INIFileNode(String) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileNode
- INIFileNominal - Class in si.ijs.kt.clus.util.jeans.io.ini
-
Corresponds to a nominal settings file field.
- INIFileNominal(String, String[]) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominal
- INIFileNominal(String, String[], int) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominal
-
Constructor for INIFileNominal
- INIFileNominal(String, String[], int[]) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominal
- INIFileNominal(String, NominalType) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominal
- INIFileNominal(String, NominalType, int) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominal
- INIFileNominal(String, NominalType, int[]) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominal
- INIFileNominalOrDoubleOrVector - Class in si.ijs.kt.clus.util.jeans.io.ini
- INIFileNominalOrDoubleOrVector(String, String[]) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- INIFileNominalOrDoubleOrVector(String, NominalType) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- INIFileNominalOrIntOrVector - Class in si.ijs.kt.clus.util.jeans.io.ini
- INIFileNominalOrIntOrVector(String, String[]) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector
- INIFileNominalOrIntOrVector(String, NominalType) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector
- INIFileSection - Class in si.ijs.kt.clus.util.jeans.io.ini
- INIFileSection() - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileSection
- INIFileSection(String) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileSection
- INIFileSectionGroup - Class in si.ijs.kt.clus.util.jeans.io.ini
- INIFileSectionGroup(String) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileSectionGroup
- INIFileString - Class in si.ijs.kt.clus.util.jeans.io.ini
- INIFileString(String) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileString
- INIFileString(String, String) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileString
- INIFileStringOrDouble - Class in si.ijs.kt.clus.util.jeans.io.ini
- INIFileStringOrDouble(String) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrDouble
- INIFileStringOrDouble(String, String) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrDouble
- INIFileStringOrInt - Class in si.ijs.kt.clus.util.jeans.io.ini
- INIFileStringOrInt(String) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrInt
- INIFileStringOrInt(String, String) - Constructor for class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrInt
- init() - Method in class si.ijs.kt.clus.data.rows.DiskTupleIterator
- init() - Method in class si.ijs.kt.clus.data.rows.FileTupleIterator
- init() - Method in class si.ijs.kt.clus.data.rows.MemoryTupleIterator
- init() - Method in class si.ijs.kt.clus.data.rows.TupleIterator
- init(int[]) - Method in class si.ijs.kt.clus.ext.optxval.OptXValNode
- init(int[], NodeTest) - Method in class si.ijs.kt.clus.ext.optxval.OptXValSplit
- init(RowData, Settings) - Method in class si.ijs.kt.clus.addon.sit.mtLearner.ClusLearner
- init(RowData, Settings) - Method in interface si.ijs.kt.clus.addon.sit.mtLearner.MTLearner
-
Initialize the MTLearner
- init(RowData, Settings) - Method in class si.ijs.kt.clus.addon.sit.mtLearner.MTLearnerImpl
- initAllModelProcessors(int, ClusSchema) - Method in class si.ijs.kt.clus.model.ClusModelInfo
- initBeamSearchHeuristic() - Method in class si.ijs.kt.clus.main.ClusStatManager
- initBitwiseNominal() - Method in class si.ijs.kt.clus.data.type.BitwiseNominalAttrType
- initClassListRecursiveDAG(ClassTerm, HashSet<String>) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- initClassListRecursiveTree(ClassTerm) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- initClusteringStat(ClusStatManager, RowData) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- initClusteringStat(ClusStatManager, RowData) - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- initClusteringStat(ClusStatManager, ClusStatistic, RowData) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- initClusteringStat(ClusStatManager, ClusStatistic, RowData) - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- initClusteringWeights() - Method in class si.ijs.kt.clus.main.ClusStatManager
- initCoveredBitVectArray(int) - Method in class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicDispersion
- initDescriptiveAttributes() - Method in class si.ijs.kt.clus.data.ClusSchema
- initDispersionWeights() - Method in class si.ijs.kt.clus.main.ClusStatManager
- initEnsemblePredictionsWriter(int) - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- initEnsemblePredictionWriter(int) - Method in class si.ijs.kt.clus.model.ClusModelInfo
- initExponentialDepthWeights(ClassHierarchy, SettingsHMLC.HierarchyWeight, double) - Method in class si.ijs.kt.clus.ext.hierarchical.HierNodeWeights
- initExponentialDepthWeightsDAG(ClassHierarchy, SettingsHMLC.HierarchyWeight, double) - Method in class si.ijs.kt.clus.ext.hierarchical.HierNodeWeights
- initExponentialDepthWeightsRec(ClassTerm, int, double) - Method in class si.ijs.kt.clus.ext.hierarchical.HierNodeWeights
- initGDForNewRunWithSamePredictions() - Method in class si.ijs.kt.clus.util.tools.optimization.gd.GDAlgorithm
-
Initialize GD optimization for new run with same predictions and true values This can be used if some parameters change.
- initGDForNewRunWithSamePredictions() - Method in class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
-
Initialize GD optimization for new run with same predictions and true values This can be used if some parameters change.
- initHeuristic() - Method in class si.ijs.kt.clus.main.ClusStatManager
- initHierarchical() - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- initHierarchySettings() - Method in class si.ijs.kt.clus.main.ClusStatManager
- initialize() - Method in class si.ijs.kt.clus.addon.sit.Sit
-
Initialize: -load settings -create schema -read in data
- initialize() - Method in class si.ijs.kt.clus.algo.ClusInductionAlgorithm
- initialize() - Method in class si.ijs.kt.clus.algo.tdidt.DepthFirstInduce
- initialize() - Method in class si.ijs.kt.clus.data.ClusSchema
- initialize() - Method in class si.ijs.kt.clus.ext.bestfirst.BestFirstInduce
- initialize() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- initialize() - Method in class si.ijs.kt.clus.ext.optiontree.DepthFirstInduceWithOptions
- initialize() - Method in class si.ijs.kt.clus.ext.semisupervised.ClusSelfTrainingFTFInduce
- initialize() - Method in class si.ijs.kt.clus.ext.semisupervised.ClusSelfTrainingInduce
- initialize() - Method in class si.ijs.kt.clus.ext.semisupervised.ClusSemiSupervisedPCTs
- initialize(double[][], double[][]) - Static method in class si.ijs.kt.clus.algo.rules.RuleNormalization
-
Initializes the statistical information about the data.
- initialize(int) - Method in class si.ijs.kt.clus.ext.optxval.OptXValInduce
- initialize(int) - Static method in class si.ijs.kt.clus.util.ClusRandom
- initialize(ClusSchema, Settings) - Method in class si.ijs.kt.clus.ext.semisupervised.ClusSelfTrainingFTFInduce
- initialize(ClusSchema, Settings) - Method in class si.ijs.kt.clus.ext.semisupervised.ClusSelfTrainingInduce
- initialize(ClusSchema, Settings) - Method in class si.ijs.kt.clus.ext.semisupervised.ClusSemiSupervisedPCTs
-
* Initialize parameters
- initialize(ClusSchema, Settings, Clus) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce
- initialize(RowData, ClusSchema, Settings, ClusInductionAlgorithmType) - Method in class si.ijs.kt.clus.Clus
- initialize(ClusStatManager) - Method in class si.ijs.kt.clus.algo.split.NArySplit
- initialize(ClusStatManager) - Method in class si.ijs.kt.clus.algo.split.NominalSplit
- initialize(ClusStatManager) - Method in class si.ijs.kt.clus.algo.split.SubsetSplit
- initialize(SettingsGeneral) - Static method in class si.ijs.kt.clus.util.ClusLogger
-
Initializes the logging for Clus.
- initialize(Settings) - Method in class si.ijs.kt.clus.ext.hierarchicalmtr.ClusHMTRHierarchy
- initialize(Settings) - Static method in class si.ijs.kt.clus.util.ClusRandom
- initialize(ClusModel, ClusSchema) - Method in class si.ijs.kt.clus.algo.tdidt.processor.BasicExampleCollector
- initialize(ClusModel, ClusSchema) - Method in class si.ijs.kt.clus.algo.tdidt.processor.NodeExampleCollector
- initialize(ClusModel, ClusSchema) - Method in class si.ijs.kt.clus.algo.tdidt.processor.NodeIDWriter
- initialize(ClusModel, ClusSchema) - Method in class si.ijs.kt.clus.model.processor.CalcStatisticProcessor
- initialize(ClusModel, ClusSchema) - Method in class si.ijs.kt.clus.model.processor.ClusModelProcessor
- initialize(ClusModel, ClusSchema) - Method in class si.ijs.kt.clus.model.processor.ModelProcessorCollection
- initialize(CMDLineArgs) - Method in class si.ijs.kt.clus.Clus
-
Condensed version of
clus.Clus.initialize(CMDLineArgs, ClusInductionAlgorithmType)
that more or less prepares the dataset. - initialize(CMDLineArgs, boolean) - Method in class si.ijs.kt.clus.main.settings.Settings
- initialize(CMDLineArgs, ClusInductionAlgorithmType) - Method in class si.ijs.kt.clus.Clus
- initializeAddOn(String) - Method in class si.ijs.kt.clus.Clus
-
Easy to use initialization method to be used from inside add-on applications supporting Clus (e.g., applications converting data)
- initializeAll(ClusSchema) - Method in class si.ijs.kt.clus.model.processor.ClusModelProcessor
- initializeAll(ClusSchema) - Method in class si.ijs.kt.clus.model.processor.ModelProcessorCollection
- initializeAll(ClusSchema) - Method in class si.ijs.kt.clus.model.processor.PredictionWriter
- initializeAttributes(ClusAttrType[], int) - Method in class si.ijs.kt.clus.ext.featureRanking.ClusFeatureRanking
- initializeAttributes(ClusAttrType[], HashMap<SettingsEnsemble.EnsembleRanking, Integer>) - Method in class si.ijs.kt.clus.ext.featureRanking.ensemble.ClusEnsembleFeatureRankings
- initializeAttributeWeights(ClusData) - Method in class si.ijs.kt.clus.Clus
- initializeBeam(ClusRun) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- initializeBeam(ClusRun) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusFastBeamSearch
- initializeBeamExhaustive(ClusRun) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- initializeBeforeLoadingData() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- initializeBeforeLoadingData() - Method in class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrType
- initializeClass(RowData, ClusStatManager) - Static method in class si.ijs.kt.clus.algo.rules.ClusRuleLinearTerm
-
Initializes class values for all linear terms.
- initializeConstraint(ClusRun) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSyntacticConstraint
- initializeExamples(ClusAttrType[], RowData) - Method in class si.ijs.kt.clus.algo.tdidt.DepthFirstInduceSparse
- initializeFolds() - Method in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- initializeFrom(ClusSchema) - Method in class si.ijs.kt.clus.data.ClusSchema
- initializeFrom(ClusAttrType) - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- initializeFrom(ClusAttrType) - Method in class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrType
- initializeFromBits(boolean[]) - Method in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- initializeFTable(double, int) - Static method in class si.ijs.kt.clus.util.FTest
- initializeHeuristic() - Method in class si.ijs.kt.clus.algo.ClusInductionAlgorithm
- initializeHeuristic() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamInduce
- initializeHeuristic() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- initializeHeuristic() - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveInduce
- initializeHeuristic() - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- initializeHeuristic() - Method in class si.ijs.kt.clus.ext.semisupervised.ClusSelfTrainingFTFInduce
- initializeHeuristic() - Method in class si.ijs.kt.clus.ext.semisupervised.ClusSelfTrainingInduce
- initializeLogPMatrix(int) - Method in class si.ijs.kt.clus.heuristic.EncodingCost
- INITIALIZEPARTIALSUM - Static variable in class si.ijs.kt.clus.statistic.ClassificationStat
- INITIALIZEPARTIALSUM - Static variable in class si.ijs.kt.clus.statistic.ClusStatistic
- INITIALIZEPARTIALSUM - Static variable in class si.ijs.kt.clus.statistic.WHTDStatistic
- initializeProximities(DataTuple) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
-
Store indices of tuples in leaf nodes.
- initializeSettings(Settings) - Method in class si.ijs.kt.clus.data.ClusSchema
- initializeSum() - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- initializeSum() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- initializeSum() - Method in class si.ijs.kt.clus.statistic.RegressionStat
- initializeSum() - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- initializeSummary(ClusInductionAlgorithmType) - Method in class si.ijs.kt.clus.Clus
- initializeSuperFields(ClusReliefFeatureRanking, int) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.statistics.Statistics
- initializeTestErrors(ClusNode, ClusError) - Static method in class si.ijs.kt.clus.pruning.TreeErrorComputer
- initializeTestErrorsData(ClusNode, RowData, ClusError) - Static method in class si.ijs.kt.clus.pruning.TreeErrorComputer
- initLOOXVal() - Method in interface si.ijs.kt.clus.addon.sit.mtLearner.MTLearner
- initLOOXVal() - Method in class si.ijs.kt.clus.addon.sit.mtLearner.MTLearnerImpl
- initMeans(int) - Static method in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
-
Initializes means with global means, this is not always done, sometimes mean = 0
- initModelInfo(int) - Method in class si.ijs.kt.clus.main.ClusModelInfoList
-
************************************************************************* Adding models to it
- initModelInfo(int, String) - Method in class si.ijs.kt.clus.main.ClusModelInfoList
-
Analogue of
intiModelInfo(int i)
. - initModelInfo(ClusModelInfo) - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- initModelProcessors(int, ClusSchema) - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- initModelProcessors(int, ClusSchema) - Method in class si.ijs.kt.clus.model.ClusModelInfo
- initModelRecursive(ClusNode, RowData) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusFastBeamSearch
- initNamedValues() - Method in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- initNamedValues() - Method in class si.ijs.kt.clus.main.settings.section.SettingsConstraints
- initNamedValues() - Method in class si.ijs.kt.clus.main.settings.section.SettingsKNN
- initNamedValues() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- initNamedValues() - Method in class si.ijs.kt.clus.main.settings.SettingsBase
-
Method should handle initialization of named values.
- initNormalizationWeights(ClusAttributeWeights, boolean[]) - Method in class si.ijs.kt.clus.ext.structuredTypes.SetStatistic
- initNormalizationWeights(ClusAttributeWeights, boolean[]) - Method in class si.ijs.kt.clus.ext.structuredTypes.TupleStatistic
- initNormalizationWeights(ClusAttributeWeights, boolean[]) - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesStat
- initNormalizationWeights(ClusAttributeWeights, boolean[]) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- initNormalizationWeights(ClusAttributeWeights, boolean[]) - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- initNormalizationWeights(ClusStatistic, ClusData) - Method in class si.ijs.kt.clus.main.ClusStatManager
-
Initializes normalization weights to m_NormalizationWeights variable
- initNormFactors(int, Settings) - Static method in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
-
Initializes norm factors based on precomputed std dev values.
- initNoWeights(ClassHierarchy) - Method in class si.ijs.kt.clus.ext.hierarchical.HierNodeWeights
- initPredictions(ClusStatistic, ClusEnsembleROSInfo) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptClassification
- initPredictions(ClusStatistic, ClusEnsembleROSInfo) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptimization
- initPredictions(ClusStatistic, ClusEnsembleROSInfo) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptRegHMLC
- initPredictorVsTrueValuesCovariances() - Method in class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
-
Compute covariances between predictors and true values.
- initRuleHeuristic() - Method in class si.ijs.kt.clus.main.ClusStatManager
- initRuleSettings() - Method in class si.ijs.kt.clus.main.ClusStatManager
-
Initializes/checks/overrides some inter-dependent settings for rule induction.
- initSchema(ClusSchema) - Method in interface si.ijs.kt.clus.data.ClusSchemaInitializer
- initSelector(CurrentBestTestAndHeuristic) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- initSelector(CurrentBestTestAndHeuristic) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- initSelectorAndSplit(ClusStatistic) - Method in class si.ijs.kt.clus.algo.split.FindBestTest
- initSelectorAndSplit(ClusStatistic) - Method in class si.ijs.kt.clus.algo.tdidt.DepthFirstInduce
- initSelectorAndSplit(ClusStatistic) - Method in class si.ijs.kt.clus.ext.bestfirst.BestFirstInduce
- initSelectorAndSplit(ClusStatistic) - Method in class si.ijs.kt.clus.ext.optiontree.FindBestTests
- initSelectorAndStopCrit(ClusNode, RowData) - Method in class si.ijs.kt.clus.algo.tdidt.DepthFirstInduce
- initSelectorAndStopCrit(ClusNode, RowData) - Method in class si.ijs.kt.clus.ext.bestfirst.BestFirstInduce
- initSelectorAndStopCrit(ClusStatistic, RowData) - Method in class si.ijs.kt.clus.algo.split.FindBestTest
- initSelectorAndStopCrit(ClusStatistic, RowData) - Method in class si.ijs.kt.clus.ext.optiontree.FindBestTests
- initSettings(Settings) - Method in class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrType
- initSettings(CMDLineArgs) - Method in class si.ijs.kt.clus.addon.sit.Sit
-
Initialize the settings object
- initSettings(CMDLineArgs) - Method in class si.ijs.kt.clus.Clus
- initSignifcanceTestingTable() - Method in class si.ijs.kt.clus.main.ClusStatManager
-
Initializes a table with Chi Squared inverse probabilities used in significance testing of rules.
- initSingleTargetFrom(double[]) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- initStatistic() - Method in class si.ijs.kt.clus.main.ClusStatManager
- initStatisticAndStatManager() - Method in class si.ijs.kt.clus.main.ClusStatManager
- initStopCriterion() - Method in class si.ijs.kt.clus.main.ClusStatManager
- initTargetStat(ClusStatManager, RowData) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
-
Change the total statistic of the tree?
- initTargetStat(ClusStatManager, RowData) - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- initTargetStat(ClusStatManager, ClusStatistic, RowData) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- initTargetStat(ClusStatManager, ClusStatistic, RowData) - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- initTestSelector(ClusStatistic) - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- initTestSelector(ClusStatistic) - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- initTestSelector(ClusStatistic, RowData) - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- initTestSelector(ClusStatistic, RowData) - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- initTestSelectors(OptXValGroup) - Method in class si.ijs.kt.clus.ext.optxval.OptXValInduce
- initTime() - Static method in class si.ijs.kt.clus.main.ClusStat
- initTotStats(ClusStatistic) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- initU(ClusNode) - Method in class si.ijs.kt.clus.pruning.CartPruning
- initVisitors(ClusNode, int) - Static method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSizeConstraints
- initWeights() - Method in class si.ijs.kt.clus.main.ClusStatManager
- initWeights(ClusNormalizedAttributeWeights, NumericAttrType[], NominalAttrType[], INIFileNominalOrDoubleOrVector) - Method in class si.ijs.kt.clus.main.ClusStatManager
- initWithNewSubspace(HashMap<Integer, Integer>) - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusROSModelInfo
- initXVal(int) - Method in interface si.ijs.kt.clus.addon.sit.mtLearner.MTLearner
- initXVal(int) - Method in class si.ijs.kt.clus.addon.sit.mtLearner.MTLearnerImpl
- innerDistance - Variable in class si.ijs.kt.clus.error.sets.Accuracy
- innerDistance - Variable in class si.ijs.kt.clus.error.sets.F1Score
- innerDistance - Variable in class si.ijs.kt.clus.error.sets.HammingLossError
- innerDistance - Variable in class si.ijs.kt.clus.error.sets.Precision
- innerDistance - Variable in class si.ijs.kt.clus.error.sets.Recall
- innerDistance - Variable in class si.ijs.kt.clus.error.sets.SubsetAccuracy
- insert(ClusData, ClusSelection) - Method in class si.ijs.kt.clus.data.ClusData
- insert(ClusData, ClusSelection) - Method in class si.ijs.kt.clus.data.rows.RowData
- insert(ClusAttribute, ClusSelection, int) - Method in class si.ijs.kt.clus.data.cols.attribute.ClusAttribute
- insert(ClusAttribute, ClusSelection, int) - Method in class si.ijs.kt.clus.data.cols.attribute.NominalAttribute
- insert(ClusAttribute, ClusSelection, int) - Method in class si.ijs.kt.clus.data.cols.attribute.NumericAttribute
- insert(ColTarget, ClusSelection, int) - Method in class si.ijs.kt.clus.data.cols.ColTarget
- insertBefore(MyList) - Method in class si.ijs.kt.clus.util.jeans.util.list.MyListIter
- insertElementAt(int, int) - Method in class si.ijs.kt.clus.util.jeans.util.array.MyIntArray
- insertElementAt(Object, int) - Method in class si.ijs.kt.clus.util.jeans.util.MyArray
- insertModel(int, ClusModelInfo) - Method in class si.ijs.kt.clus.model.io.ClusModelCollectionIO
- insertNominal(ColTarget, ClusSelection, int) - Method in class si.ijs.kt.clus.data.cols.ColTarget
- insertNumeric(ColTarget, ClusSelection, int) - Method in class si.ijs.kt.clus.data.cols.ColTarget
- Int - Enum constant in enum class si.ijs.kt.clus.data.type.ClusAttrType.ValueType
- Integer - Enum constant in enum class si.ijs.kt.clus.data.type.ClusAttrType.AttributeType
- IntegerAttrType - Class in si.ijs.kt.clus.data.type.primitive
- IntegerAttrType(String) - Constructor for class si.ijs.kt.clus.data.type.primitive.IntegerAttrType
- IntegerAttrType.MySerializable - Class in si.ijs.kt.clus.data.type.primitive
- IntegerStack - Class in si.ijs.kt.clus.util.jeans.util
- IntegerStack() - Constructor for class si.ijs.kt.clus.util.jeans.util.IntegerStack
- IntegerStack(int) - Constructor for class si.ijs.kt.clus.util.jeans.util.IntegerStack
- IntegerStack(IntegerStack) - Constructor for class si.ijs.kt.clus.util.jeans.util.IntegerStack
- INTERNAL_DISTR - Variable in class si.ijs.kt.clus.statistic.StatisticPrintInfo
- internalInitialize(ClusNode) - Method in class si.ijs.kt.clus.pruning.CartPruning
- internalRecursiveInitialize(ClusNode) - Method in class si.ijs.kt.clus.pruning.CartPruning
- internalSequenceNext(ClusNode) - Method in class si.ijs.kt.clus.pruning.CartPruning
- interpolate(double, ArrayList<double[]>) - Static method in class si.ijs.kt.clus.util.jeans.math.MathUtil
- intersectSorted(int[], int[]) - Static method in class si.ijs.kt.clus.util.jeans.util.array.MyIntArray
- IntervalCollection - Class in si.ijs.kt.clus.util.jeans.util
- IntervalCollection() - Constructor for class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- IntervalCollection(String) - Constructor for class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- intHasMissing() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- IntObject - Class in si.ijs.kt.clus.util.jeans.util.compound
- IntObject(int, Object) - Constructor for class si.ijs.kt.clus.util.jeans.util.compound.IntObject
- IntRangeCheck - Class in si.ijs.kt.clus.util.jeans.io.range
- IntRangeCheck(int, int) - Constructor for class si.ijs.kt.clus.util.jeans.io.range.IntRangeCheck
- INVALID_PREDICTION - Static variable in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
-
A regression prediction for initialization.
- InverseNumericTest - Class in si.ijs.kt.clus.model.test
- InverseNumericTest(ClusAttrType, double, double) - Constructor for class si.ijs.kt.clus.model.test.InverseNumericTest
- inverseTests() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- IS_XVAL - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsExperimental
- isAbsolutePath(String) - Static method in class si.ijs.kt.clus.util.jeans.util.FileUtil
- isAcceptable(ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.ClusHeuristic
-
Flag that indicates whether the corresponding split is acceptable.
- isAcceptable(ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- isAddIntermediateClasses() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchyPreproc
- isAggregate() - Method in class si.ijs.kt.clus.ext.hierarchicalmtr.ClusHMTRNode
- isAnyLabeled(int) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- isAnyNaNOrZero(double[]) - Static method in class si.ijs.kt.clus.util.ClusUtil
- isArrayIndexName(int, String) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- isArrayIndexName(String) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- isBeamChanged() - Method in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
- isBeamChanged() - Method in class si.ijs.kt.clus.algo.rules.ClusRuleInduce
- isBeamChanged() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- isBeamChanged() - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- isBeamPostPrune() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- isBeamPostPrune() - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- isBeamPostPrune() - Method in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- isBeamSearch() - Method in class si.ijs.kt.clus.main.ClusStatManager
- isBeamSearchMode() - Method in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- isBeamToForest() - Method in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- isBinary() - Method in class si.ijs.kt.clus.model.test.NodeTest
-
Arity methods
- isBinarySplit() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- isCalcMean() - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- isCalError() - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- isClasses() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- isClasses() - Method in class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrType
- isClassificationOrRegression() - Method in enum class si.ijs.kt.clus.main.ClusStatManager.Mode
- isClassifTask() - Method in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
- isCloneAnonymousParent() - Method in class si.ijs.kt.clus.util.cloner.Cloner
- isCloningEnabled() - Method in class si.ijs.kt.clus.util.cloner.Cloner
- isClosed() - Method in class si.ijs.kt.clus.data.io.ClusReader
- isClustering() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- isComputeForModel(String) - Method in class si.ijs.kt.clus.error.common.ClusError
- isComputeForModel(String) - Method in class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy
- isComputeForModel(String) - Method in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- isComputeForModel(String) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MlcMeasuresForHmlc
- isComputeForModel(String) - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesSignificantChangeTesterXVAL
- isConstrainedToFirstAttVal() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- isCovered(int, int) - Method in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
-
Does the base function cover the given example? This should be used instead of checkin if prediction is NaN.
- isDAG() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- isDebug() - Static method in class si.ijs.kt.clus.Clus
-
A convenience method.
- isDebug(Clus.DebugType) - Static method in class si.ijs.kt.clus.Clus
-
Checks if global debugging flags are set for the input flag.
- isDEBUG() - Method in class si.ijs.kt.clus.algo.kNN.methods.SearchAlgorithm
-
Check if DEBUG mode is on.
- isDefault() - Method in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- isDefaultTarget() - Method in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
- isDescriptive() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- isDisabled() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- isDoNotInduce() - Method in class si.ijs.kt.clus.main.settings.section.SettingsGeneral
- isDouble() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrDouble
- isDouble(String) - Static method in class si.ijs.kt.clus.util.jeans.math.MDouble
- isDouble(String) - Static method in class si.ijs.kt.clus.util.jeans.util.StringUtils
- isDoubleOrNull(String) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrDouble
- isDumpClonedClasses() - Method in class si.ijs.kt.clus.util.cloner.Cloner
- isEarlyStop(ArrayList<Double>) - Method in class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
-
Early stopping is triggered when the error rate is bigger than the smallest_error_rate multiplied by getSettings().getRules().getOptGDEarlyStopTreshold() = overfitting
- isEfficient() - Method in class si.ijs.kt.clus.heuristic.ClusHeuristic
- isEfficient() - Method in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristicEfficient
- isEmpty() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- isEmpty() - Method in class si.ijs.kt.clus.util.jeans.util.IntegerStack
- isEmpty() - Method in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- isEmpty() - Method in class si.ijs.kt.clus.util.jeans.util.list.MyListIter
- isEnabled() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNode
- isEnabled() - Method in class si.ijs.kt.clus.util.jeans.io.MyFile
- isEnabledObjectiveAccuracy() - Method in class si.ijs.kt.clus.algo.rules.probabilistic.ClusRuleProbabilisticRuleSetInduceWeights
- isEnabledObjectiveCardinality() - Method in class si.ijs.kt.clus.algo.rules.probabilistic.ClusRuleProbabilisticRuleSetInduceWeights
- isEnabledObjectiveCorrectCover() - Method in class si.ijs.kt.clus.algo.rules.probabilistic.ClusRuleProbabilisticRuleSetInduceWeights
- isEnabledObjectiveIncorrectCover() - Method in class si.ijs.kt.clus.algo.rules.probabilistic.ClusRuleProbabilisticRuleSetInduceWeights
- isEnabledObjectiveOverlap() - Method in class si.ijs.kt.clus.algo.rules.probabilistic.ClusRuleProbabilisticRuleSetInduceWeights
- isEnabledObjectiveSize() - Method in class si.ijs.kt.clus.algo.rules.probabilistic.ClusRuleProbabilisticRuleSetInduceWeights
- isEnsembleMode() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- isEnsembleRandomDepth() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
-
Do we want to use different random depth for different iterations of ensemble.
- isEnsembleROSEnabled() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- isEnsembleWithParallelExecution() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- isEol() - Method in class si.ijs.kt.clus.data.io.ClusReader
- isEqualLength() - Method in class si.ijs.kt.clus.data.type.complex.SetAttrType
- isEqualLength() - Method in class si.ijs.kt.clus.data.type.primitive.TimeSeriesAttrType
- isEvalClass(int) - Method in class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy
- isEvalClass(int) - Method in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- isEvalClass(int) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MlcMeasuresForHmlc
- isExhaustiveSearch() - Method in class si.ijs.kt.clus.main.settings.section.SettingsExhaustiveSearch
- isFakeLeaf() - Method in class si.ijs.kt.clus.util.jeans.tree.BinaryNode
- isFastBS() - Method in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- isFinished() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- isFinished() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSizeConstraints
- isFrozen() - Method in interface si.ijs.kt.clus.util.cloner.IFreezable
- isGainRatio() - Method in class si.ijs.kt.clus.heuristic.GainHeuristic
- isGIS() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- isGzipOutput() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
-
If set to Yes, the output files will be GZiped (including .out and .pred.arff files)
- isHeaderWritten() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimilarityOutput
- isHeurPrototypeDistPar() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- isHeurRuleDist() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- isHierNoRootPreds() - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- isHMTREnabled() - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMTR
- isHMTRUsingDump() - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMTR
- isILevelCCOPKMeans() - Method in class si.ijs.kt.clus.main.settings.section.SettingsILevelC
- isILevelCMPCKMeans() - Method in class si.ijs.kt.clus.main.settings.section.SettingsILevelC
- isIllegal() - Method in class si.ijs.kt.clus.ext.ilevelc.COPKMeansModel
- isIn(int, int) - Method in class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI.ILevelCComponent
- isInitialized() - Method in class si.ijs.kt.clus.model.processor.ClusEnsemblePredictionWriter
- isInt() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrInt
- isInt(String) - Static method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrInt
- isInteger(String) - Static method in class si.ijs.kt.clus.util.jeans.util.StringUtils
- isIntermediate() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- isIntersectSorted(int[], int[]) - Static method in class si.ijs.kt.clus.util.jeans.util.array.MyIntArray
- isIntOrNull(String) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrInt
- isInvalid() - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCRandIndex
- isInverseNumeric() - Method in class si.ijs.kt.clus.model.test.ClusRuleConstraintInduceTest
- isInverseNumeric() - Method in class si.ijs.kt.clus.model.test.InverseNumericTest
- isInverseNumeric() - Method in class si.ijs.kt.clus.model.test.NumericTest
- isKey() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- isKNN() - Method in class si.ijs.kt.clus.main.settings.section.SettingsKNN
- isLeaf() - Method in class si.ijs.kt.clus.algo.kNN.methods.kdTree.KDNode
-
If node is an leaf in tree, function returns true, false otherwise.
- isLibLoaded() - Static method in class si.ijs.kt.clus.util.ResourceInfo
- isLocked() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- isLonglat() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- isLOOXVal() - Method in class si.ijs.kt.clus.main.settings.section.SettingsData
- isMissing(DataTuple) - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- isMissing(DataTuple) - Method in class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrType
- isMissing(DataTuple) - Method in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- isMissing(DataTuple) - Method in class si.ijs.kt.clus.data.type.primitive.NumericAttrType
- isMissing(DataTuple) - Method in class si.ijs.kt.clus.data.type.primitive.SparseNumericAttrType
- isMissing(DataTuple, ClusAttrType[]) - Static method in class si.ijs.kt.clus.selection.CriterionBasedSelection
- isMlcKnn() - Method in class si.ijs.kt.clus.main.settings.section.SettingsKNN
- isModelWriter() - Method in class si.ijs.kt.clus.algo.ClusInductionAlgorithm
- isModelWriter() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamInduce
- isModelWriter() - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveInduce
- isModified() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSizeConstraints
- isMSENominal() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- isMultiLine() - Method in class si.ijs.kt.clus.error.common.ClusError
- isMultiLine() - Method in class si.ijs.kt.clus.error.ContingencyTable
- isMultiLine() - Method in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- isMultiLine() - Method in class si.ijs.kt.clus.error.mlcForHmlc.MlcMeasuresForHmlc
- isNaN(double) - Static method in class si.ijs.kt.clus.util.ClusUtil
- isNaNOrZero(double) - Static method in class si.ijs.kt.clus.util.ClusUtil
- isNewerOrEqual(String, String) - Static method in class si.ijs.kt.clus.util.jeans.util.FileUtil
- isNextChar(int) - Method in class si.ijs.kt.clus.data.io.ClusReader
- isNextCharNoSpace(int) - Method in class si.ijs.kt.clus.data.io.ClusReader
- isNextToken(char) - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- isNextToken(String) - Method in class si.ijs.kt.clus.data.io.ClusReader
- isNextToken(String) - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- isNextToken(String) - Method in class si.ijs.kt.clus.util.jeans.util.MStringTokenizer
- isNextToken(String) - Method in class si.ijs.kt.clus.util.jeans.util.MTokenizer
- isNextTokenIn(String) - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- isNextTokenIn(String) - Method in class si.ijs.kt.clus.util.jeans.util.MStringTokenizer
- isNextTokenIn(String) - Method in class si.ijs.kt.clus.util.jeans.util.MTokenizer
- isNominal() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- isNominal() - Method in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- isNominal() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- isNominal() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector
- isNominal(int) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- isNominal(int) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector
- isNominalSubsetTests() - Method in class si.ijs.kt.clus.main.settings.section.SettingsModel
- isNoTrivialClasses() - Method in class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy
- isNullFile() - Method in class si.ijs.kt.clus.main.settings.section.SettingsData
- isNullGIS() - Method in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
- isNullPruneFile() - Method in class si.ijs.kt.clus.main.settings.section.SettingsData
- isNullTarget() - Method in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
- isNullTestFile() - Method in class si.ijs.kt.clus.main.settings.section.SettingsData
- isNullTransient() - Method in class si.ijs.kt.clus.util.cloner.Cloner
- isNullUnlabeledFile() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- isNullXValFile() - Method in class si.ijs.kt.clus.main.settings.section.SettingsData
- isNumeric() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- isNumeric() - Method in class si.ijs.kt.clus.data.type.primitive.NumericAttrType
- isNumeric() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- isOOBCalculation() - Static method in class si.ijs.kt.clus.ext.ensemble.ClusOOBErrorEstimate
- isOOBForTree(DataTuple, int) - Static method in class si.ijs.kt.clus.ext.ensemble.ClusOOBErrorEstimate
-
Returns true is a given tuple is OOB for a tree in random forest with a specified number
- isOptAddLinearTerms() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
Do we add linear terms to rule set
- isOptDefaultShiftPred() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
Shift predictions according to the default prediction.
- isOptGDIsDynStepsize() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
GD Step size ]0,1] for each iteration.
- isOptimized() - Static method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce
-
Memory optimization
- isOptLinearTermsTruncate() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
Are linear terms truncated so that they do not predict values greater or lower than found in the training set.
- isOptNormalization() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
Do we normalize the predictions and true values internally for optimization.
- isOptNormalizeLinearTerms() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
Do we scale linear terms so that the attributes have similar effect
- isOptOmitRulePredictions() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
Do we omit rule predictions
- isOptWeightGenerality() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
Do we scale the predictions of the rules with the generality.
- isOutFoldData() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- isOutFoldError() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- isOutputClowdFlowsJSON() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- isOutputDatabaseQueries() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- isOutputFoldModels() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- isOutputJSONModel() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- isOutputPythonModel() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- isOutputROSSubspaces() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- isOutTestError() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- isOutTrainError() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- isOutValidError() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- isPartiallyLabeled() - Method in class si.ijs.kt.clus.data.rows.DataTuple
-
DataTuple is considered partially unlabeled if it has missing values for any of its target attributes
- isPrintAllRules() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- isPrintEnsembleModelFiles() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- isPrintEnsembleModelInfo() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- isPrintEnsembleModels() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- isPrintEnsemblePaths() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- isPrintModelAndExamples() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- isPrintModels() - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- isPruneSetString(String) - Method in class si.ijs.kt.clus.main.settings.section.SettingsData
- isRandom() - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusROSModelInfo
- isRandomPerTree() - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusROSModelInfo
- isRandomRules() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
Returns if random rules are wanted.
- isRealSeparator(int) - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- isRecording() - Method in class si.ijs.kt.clus.model.io.ClusTreeReader
- isRefined() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- isRegression() - Method in class si.ijs.kt.clus.data.ClusSchema
- isRegularRule() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
-
Is this a regular rule or some other type of learner (e.g.
- isRegularRule() - Method in class si.ijs.kt.clus.algo.rules.ClusRuleLinearTerm
-
Is this a regular rule or some other type of learner (e.g.
- isRelief() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRelief
- isRemoveMissingTarget() - Method in class si.ijs.kt.clus.main.settings.section.SettingsData
- isRoot() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- isRoot() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- isRoot() - Method in class si.ijs.kt.clus.ext.hierarchicalmtr.ClusHMTRNode
- isROSParameterAutoTune() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- isRuleInduceOnly() - Method in class si.ijs.kt.clus.main.ClusStatManager
- isRulePredictionOptimized() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- isRuleSignificanceTesting() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- isRuleTerm(int) - Method in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
-
Is the predictor of given index a regular rule
- isRuleWiseErrors() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- isSection() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileEntry
- isSection() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNode
- isSection() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileSection
- isSection() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileSectionGroup
- isSectionEnsembleEnabled() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
-
Do we print ensemble settings to output files
- isSectionGroup() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileEntry
- isSectionGroup() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNode
- isSectionGroup() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileSection
- isSectionGroup() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileSectionGroup
- isSectionHierarchicalEnabled() - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- isSectionHMTREnabled() - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMTR
- isSectionILevelCEnabled() - Method in class si.ijs.kt.clus.main.settings.section.SettingsILevelC
- isSectionOptionEnabled() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOptionTree
- isSectionPhylogenyEnabled() - Method in class si.ijs.kt.clus.main.settings.section.SettingsPhylogeny
- isSectionTimeSeriesEnabled() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTimeSeries
- isSelected(int) - Method in class si.ijs.kt.clus.selection.BagSelection
- isSelected(int) - Method in class si.ijs.kt.clus.selection.BitMapSelection
- isSelected(int) - Method in class si.ijs.kt.clus.selection.ClusSelection
- isSelected(int) - Method in class si.ijs.kt.clus.selection.OOBSelection
- isSelected(int) - Method in class si.ijs.kt.clus.selection.OverSample
- isSelected(int) - Method in class si.ijs.kt.clus.selection.RandomSelection
- isSelected(int) - Method in class si.ijs.kt.clus.selection.XValSelection
- isSelected(int, int) - Method in class si.ijs.kt.clus.selection.XValMainSelection
- isSemiSupervisedMode() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- isSeparator(int) - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- isShowBranchFreq() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- isShowUnknown() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- isShowXValForest() - Method in class si.ijs.kt.clus.main.settings.section.SettingsExperimental
- isSideOne(DataTuple) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelConstraint
- isSinglePass() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchyPreproc
- isSkipLine(String) - Static method in class si.ijs.kt.clus.model.io.ClusTreeReader
- isSmallerThanTest() - Method in class si.ijs.kt.clus.model.test.ClusRuleConstraintInduceTest
- isSoft() - Method in class si.ijs.kt.clus.data.rows.RowData
- isSoft() - Method in class si.ijs.kt.clus.model.test.NodeTest
- isSoft() - Method in class si.ijs.kt.clus.model.test.SoftTest
- isSparse() - Method in class si.ijs.kt.clus.data.ClusSchema
- isSparse() - Method in class si.ijs.kt.clus.data.rows.DataTuple
- isSparse() - Method in class si.ijs.kt.clus.data.rows.RowData
- isSparse() - Method in class si.ijs.kt.clus.data.rows.SparseDataTuple
- isSparse() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- isSparse() - Method in class si.ijs.kt.clus.data.type.primitive.NumericAttrType
- isSplit() - Method in class si.ijs.kt.clus.data.cols.attribute.ClusAttribute
- isStopCrit() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamAttrSelector
- isString() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- isString() - Method in class si.ijs.kt.clus.data.type.primitive.StringAttrType
- isString(String) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrDouble
- isString(String) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrInt
- isTarget() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- isTargetEnabled(int) - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusROSModelInfo
- isTesting() - Method in class si.ijs.kt.clus.data.rows.DataTuple
- isTimeSeries() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- isTimeSeries() - Method in class si.ijs.kt.clus.data.type.primitive.TimeSeriesAttrType
- isTimeSeriesProtoComlexityExact() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTimeSeries
- isTraining() - Method in class si.ijs.kt.clus.data.rows.DataTuple
- isTree() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- isTreeToRuleInduce() - Method in class si.ijs.kt.clus.main.ClusStatManager
-
Often Tree to Rule is a exception for isRuleInduceOnly
- isUnknown(DataTuple) - Method in class si.ijs.kt.clus.model.test.NodeTest
- isUnlabeled() - Method in class si.ijs.kt.clus.data.rows.DataTuple
-
DataTuple is considered unlabeled if it has missing values for all of its target attributes
- isUseBonferroni() - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- isUsingAdditiveError() - Method in class si.ijs.kt.clus.pruning.SizeConstraintPruning
- isUsingDump() - Method in class si.ijs.kt.clus.ext.hierarchicalmtr.ClusHMTRHierarchy
- isValidPrediction() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- isValidValue(double) - Method in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
-
Is prediction/true value valid value
- isVector() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- isVector() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector
- IsVector() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileEnumList
- isVotingOOBWeighted() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- isWeightedCovering() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- isWriteCurves() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- isWriteErrorFile() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- isWriteModelFile() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- isWriteModelIDPredictions() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- isWriteOOBFile() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- isWriteTestSetPredictions() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- isWriteTrainSetPredictions() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- isZero(double) - Static method in class si.ijs.kt.clus.util.ClusUtil
- itemsetcpt - Static variable in class si.ijs.kt.clus.main.Global
- Iterations - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLStoppingCriteria
-
Iterations - stop after specified number of iterations
- iterator() - Method in class si.ijs.kt.clus.algo.kNN.methods.bfMethod.ArrayOfArraysIterator
- IwithNeighbours - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMeasure
J
- Jaccard - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMLC.HierarchyDistance
- Jaccard - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMTR.HierarchyDistanceHMTR
- Jaccard - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SetDistance
- JaccardDistance - Class in si.ijs.kt.clus.distance.complex.sets
- JaccardDistance(SetAttrType, ClusDistance) - Constructor for class si.ijs.kt.clus.distance.complex.sets.JaccardDistance
- JaccardDistance(ClusDistance) - Constructor for class si.ijs.kt.clus.distance.complex.sets.JaccardDistance
- JC - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsPhylogeny.PhylogenyDistanceMeasure
- joinPythonForestInOneFile(ClusRun) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
-
Used when optimization of ensembles is ON.
- joinWithSubmodels(ArrayList<ClusNode>) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
K
- KDNode - Class in si.ijs.kt.clus.algo.kNN.methods.kdTree
- KDNode(KDTree, int) - Constructor for class si.ijs.kt.clus.algo.kNN.methods.kdTree.KDNode
- KDTree - Class in si.ijs.kt.clus.algo.kNN.methods.kdTree
- KDTree - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsKNN.SearchMethod
- KDTree(ClusRun, SearchDistance) - Constructor for class si.ijs.kt.clus.algo.kNN.methods.kdTree.KDTree
- Key - Enum constant in enum class si.ijs.kt.clus.data.type.ClusAttrType.AttributeUseType
- Key - Enum constant in enum class si.ijs.kt.clus.data.type.ClusAttrType.Status
- Key - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsOutput.ShowInfo
- killFold(int) - Method in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- Kimura - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsPhylogeny.PhylogenyDistanceMeasure
- KMostConfident - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLUnlabeledCriteria
-
KMostConfident - K unlabeled instances with the most confident predictions will be added to the training set, K is a parameter
- KnnClassifier - Class in si.ijs.kt.clus.algo.kNN
- KnnClassifier(Clus) - Constructor for class si.ijs.kt.clus.algo.kNN.KnnClassifier
- KNNLearner - Class in si.ijs.kt.clus.addon.sit.mtLearner
- KNNLearner() - Constructor for class si.ijs.kt.clus.addon.sit.mtLearner.KNNLearner
- KnnMlcStat - Class in si.ijs.kt.clus.statistic
- KnnMlcStat(Settings, NominalAttrType[]) - Constructor for class si.ijs.kt.clus.statistic.KnnMlcStat
- KnnMlcStat(Settings, NominalAttrType[], INIFileNominalOrDoubleOrVector) - Constructor for class si.ijs.kt.clus.statistic.KnnMlcStat
- KnnModel - Class in si.ijs.kt.clus.algo.kNN
- KnnModel(ClusRun, int, SettingsKNN.DistanceWeights, int, boolean, ClusAttrType[]) - Constructor for class si.ijs.kt.clus.algo.kNN.KnnModel
- KnnModel(ClusRun, int, SettingsKNN.DistanceWeights, int, boolean, ClusAttrType[], int[]) - Constructor for class si.ijs.kt.clus.algo.kNN.KnnModel
- KnnModel(ClusRun, int, SettingsKNN.DistanceWeights, KnnModel) - Constructor for class si.ijs.kt.clus.algo.kNN.KnnModel
- KNNStatistics - Class in si.ijs.kt.clus.algo.kNN
-
Deprecated.
- KNNStatistics(RowData) - Constructor for class si.ijs.kt.clus.algo.kNN.KNNStatistics
-
Deprecated.
- KPercentageMostAverage - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLUnlabeledCriteria
-
KPercentageMostAverage - the threshold is set to average confidence score of the K percentage most confident examples (set initially, and then this threshold is used throughout iterations)
- KPercentageMostConfident - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLUnlabeledCriteria
-
KPercentageMostConfident - K percentage of unlabeled instances with the most confident predictions will be added to the training set
L
- LabeledOnly - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLOOBErrorCalculation
-
calculate OOB error only on original labeled part
- labelSet(ClusNode, boolean[]) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- lambda - Variable in class si.ijs.kt.clus.pruning.CartVisitor
- lambda_min - Variable in class si.ijs.kt.clus.pruning.CartVisitor
- LanLongdistance(double, double, double, double) - Method in class si.ijs.kt.clus.heuristic.GISHeuristic
- LanLongdistance(double, double, double, double) - Method in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristicCompatibility
- lastDelim() - Method in class si.ijs.kt.clus.util.jeans.util.MultiDelimStringTokenizer
- LeafTreeIterator - Class in si.ijs.kt.clus.util.jeans.tree
- LeafTreeIterator(LeafTreeIterator) - Constructor for class si.ijs.kt.clus.util.jeans.tree.LeafTreeIterator
- LeafTreeIterator(Node) - Constructor for class si.ijs.kt.clus.util.jeans.tree.LeafTreeIterator
- learnBeamOfRules(RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
-
Returns all the rules in the beam, not just the best one.
- learnBeamOfRules(RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleInduce
-
Returns all the rules in the beam, not just the best one.
- learnEmptyRule(RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
- learnEmptyRule(RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleInduce
- learner - Variable in class si.ijs.kt.clus.addon.sit.searchAlgorithm.GreedySIT
- learner - Variable in class si.ijs.kt.clus.addon.sit.searchAlgorithm.SearchAlgorithmImpl
- learner - Variable in class si.ijs.kt.clus.addon.sit.searchAlgorithm.SITFitnessFunction
- LearnModel(TargetSet) - Method in interface si.ijs.kt.clus.addon.sit.mtLearner.MTLearner
-
Learns a model for the complete trainingset and returns predictions for the testset
- LearnModel(TargetSet) - Method in class si.ijs.kt.clus.addon.sit.mtLearner.MTLearnerImpl
- LearnModel(TargetSet, int) - Method in interface si.ijs.kt.clus.addon.sit.mtLearner.MTLearner
-
Learns a model for fold foldNr and returns the predictions for the remaining data
- LearnModel(TargetSet, int) - Method in class si.ijs.kt.clus.addon.sit.mtLearner.MTLearnerImpl
- LearnModel(TargetSet, RowData, RowData) - Method in class si.ijs.kt.clus.addon.sit.mtLearner.AvgLearner
- LearnModel(TargetSet, RowData, RowData) - Method in class si.ijs.kt.clus.addon.sit.mtLearner.ClusLearner
- LearnModel(TargetSet, RowData, RowData) - Method in class si.ijs.kt.clus.addon.sit.mtLearner.KNNLearner
- LearnModel(TargetSet, RowData, RowData) - Method in class si.ijs.kt.clus.addon.sit.mtLearner.MTLearnerImpl
- learnOneRule(RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
- learnOneRule(RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleInduce
- leastKelements(double[], int) - Static method in class si.ijs.kt.clus.ext.semisupervised.Helper
-
Returns K least elements of an array, together with indices
- Leaves - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsOutput.ConvertRules
- Lee - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMeasure
- LeewithNeighbours - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMeasure
- left - Variable in class si.ijs.kt.clus.pruning.SizeConstraintVisitor
- LEFT_HIGH - Static variable in class si.ijs.kt.clus.algo.kNN.methods.vpTree.VPNode
- LEFT_LOW - Static variable in class si.ijs.kt.clus.algo.kNN.methods.vpTree.VPNode
- length() - Method in class si.ijs.kt.clus.ext.structuredTypes.Tuple
- length() - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeries
- LESS - Static variable in interface si.ijs.kt.clus.util.jeans.util.sort.MComparator
- LEVEL_WISE - Static variable in class si.ijs.kt.clus.algo.tdidt.ClusDecisionTree
- LevelContTable - Class in si.ijs.kt.clus.ext.hierarchical
- LevelContTable() - Constructor for class si.ijs.kt.clus.ext.hierarchical.LevelContTable
- Levenshtein - Class in si.ijs.kt.clus.distance.primitive.relief
- Levenshtein(String, String) - Constructor for class si.ijs.kt.clus.distance.primitive.relief.Levenshtein
- Levenshtein(DataTuple, DataTuple, StringAttrType) - Constructor for class si.ijs.kt.clus.distance.primitive.relief.Levenshtein
- Linear - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTimeSeries.TimeSeriesPrototypeComplexity
- linearParameter - Static variable in class si.ijs.kt.clus.statistic.SumPairwiseDistancesStat
- lineno - Variable in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- lineno - Variable in class si.ijs.kt.clus.util.jeans.util.MTokenizer
- link(int, int) - Method in class si.ijs.kt.clus.util.jeans.util.DisjointSetForest
- load() - Method in class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI.ILevelCComponent
- load(Reader, char) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFile
- load(String) - Static method in class si.ijs.kt.clus.model.io.ClusModelCollectionIO
- load(String) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFile
- load(String, char) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFile
- load(String, ClusSchema) - Method in class si.ijs.kt.clus.ext.constraint.ClusConstraintFile
- load(MStreamTokenizer) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileSection
- load(MStreamTokenizer, char) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFile
- loadConstraintFile() - Method in class si.ijs.kt.clus.Clus
- loadConstraints(String, ArrayList) - Static method in class si.ijs.kt.clus.ext.ilevelc.ILevelConstraint
- loadConstraints(String, ArrayList, ArrayList) - Static method in class si.ijs.kt.clus.ext.ilevelc.ILevelConstraint
- loadCurrentBesTestAndHeuristic(CurrentBestTestAndHeuristic) - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- loadDAG(String) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- loadDAG(String[]) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- loadDataFile(String) - Method in class si.ijs.kt.clus.Clus
- loadFromFile() - Method in class si.ijs.kt.clus.main.settings.section.SettingsModel
- loadFromFile(String) - Static method in class si.ijs.kt.clus.algo.kNN.distance.attributeWeighting.AttributeWeighting
- loadHierarchy(String) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchyIO
- loadHierarchy(String, ClassesAttrType) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchyIO
- loadHierarchy(String, ClassHierarchy) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchyIO
- loadLibrary(boolean) - Static method in class si.ijs.kt.clus.util.ResourceInfo
- LoadListener() - Constructor for class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI.LoadListener
- loadModel(String) - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageSingleClass
- loadModelPerModel(String, ClusRun) - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageSingleClass
- loadNeighboursFromFile(String) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.nearestNeighbour.SaveLoadNeighbours
- loadNeighboursFromFiles() - Method in class si.ijs.kt.clus.ext.featureRanking.relief.nearestNeighbour.SaveLoadNeighbours
- loadOutTree(String, ClusSchema, String) - Method in class si.ijs.kt.clus.model.io.ClusTreeReader
- loadRule(MStreamTokenizer, String) - Method in class si.ijs.kt.clus.addon.hmc.ClusAmandaRules.ClusAmandaRules
- loadRules(String) - Method in class si.ijs.kt.clus.addon.hmc.ClusAmandaRules.ClusAmandaRules
- loadTree(String, ClusSchema) - Method in class si.ijs.kt.clus.model.io.ClusTreeReader
- loadTreeTree(String, ClusSchema) - Method in class si.ijs.kt.clus.model.io.ClusTreeReader
- LocalGeary - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMeasure
- LocalGetis - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMeasure
- LocalMoran - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMeasure
- locateTuple(DataTuple) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptimization
- log() - Method in class si.ijs.kt.clus.util.jeans.io.MyFile
- log(String) - Static method in class si.ijs.kt.clus.util.DebugFile
- log(String) - Method in class si.ijs.kt.clus.util.jeans.io.MyFile
- Log - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTimeSeries.TimeSeriesPrototypeComplexity
- LOG2 - Static variable in class si.ijs.kt.clus.data.type.BitwiseNominalAttrType
- LOGSIZE - Static variable in class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI
- LONGLAT - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsTree
- looseOthers() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamTreeElem
- looseOthers() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamTreeElemOld
- loss(double[][], int) - Method in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
-
Loss function for data set.
- lowcost - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSizeConstraintInfo
M
- m_1SERule - Variable in class si.ijs.kt.clus.pruning.SequencePruningVSB
- m_AbsDefError - Variable in class si.ijs.kt.clus.error.AbsoluteError
- m_AbsError - Variable in class si.ijs.kt.clus.error.AbsoluteError
- m_Abundance - Variable in class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- m_ActualArr - Variable in class si.ijs.kt.clus.error.hmlc.HierLevelAccuracy
- m_AddIntermediates - Variable in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchyPreproc
- m_AdditiveError - Variable in class si.ijs.kt.clus.pruning.SizeConstraintPruning
- m_AggregatedError - Variable in class si.ijs.kt.clus.ext.ensemble.ClusOOBWeights
- m_AggregatedWeight - Variable in class si.ijs.kt.clus.ext.ensemble.ClusOOBWeights
- m_Aggregation - Variable in class si.ijs.kt.clus.ext.semisupervised.confidence.PredictionConfidence
- m_Alfa - Variable in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
- m_AllAttributes - Variable in class si.ijs.kt.clus.ext.featureRanking.ClusFeatureRanking
-
The keys are attribute names and the values are the arrays of the following form:
[type of the attribute, position of the attribute, relevance1, relevance2, ..., relevanceK]
whereK >= 1
and each relevance corresponds to some ranking. - m_AllAttrUse - Variable in class si.ijs.kt.clus.data.ClusSchema
- m_allCoveringRuleExists - Variable in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
If we have created an all examples covering rule that is in the first position of rules Used for weight optimization.
- m_AllModelsMI - Variable in class si.ijs.kt.clus.main.ClusModelInfoList
- m_Alpha - Variable in class si.ijs.kt.clus.ext.ensemble.ClusOOBWeights
- m_AlphaValues - Variable in class si.ijs.kt.clus.heuristic.EncodingCost
- m_AlphaValuesRecode4 - Variable in class si.ijs.kt.clus.heuristic.EncodingCost
- m_Alternatives - Variable in class si.ijs.kt.clus.algo.tdidt.ClusNode
- m_AlternativesString - Variable in class si.ijs.kt.clus.algo.tdidt.ClusNode
- m_AppName - Variable in class si.ijs.kt.clus.main.settings.section.SettingsGeneric
- m_AreaPR - Variable in class si.ijs.kt.clus.error.mlc.MLROCAndPRCurve
- m_AreaPR - Variable in class si.ijs.kt.clus.error.mlcForHmlc.MLROCAndPRCurve
- m_AreaPR - Variable in class si.ijs.kt.clus.error.ROCAndPRCurve
- m_AreaROC - Variable in class si.ijs.kt.clus.error.mlc.MLROCAndPRCurve
- m_AreaROC - Variable in class si.ijs.kt.clus.error.mlcForHmlc.MLROCAndPRCurve
- m_AreaROC - Variable in class si.ijs.kt.clus.error.ROCAndPRCurve
- m_ArrayDouble - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- m_ArrayIndex - Variable in class si.ijs.kt.clus.data.type.ClusAttrType
- m_ArrayInt - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector
- m_ArrayNominal - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- m_ArrayNominal - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector
- m_Assign - Variable in class si.ijs.kt.clus.ext.ilevelc.SimpleClusterModel
- m_Attr - Variable in class si.ijs.kt.clus.data.ClusSchema
- m_Attr - Variable in class si.ijs.kt.clus.data.io.ClusView
- m_Attr - Variable in class si.ijs.kt.clus.distance.complex.SetDistance
- m_Attr - Variable in class si.ijs.kt.clus.distance.complex.TupleDistance
- m_Attr - Variable in class si.ijs.kt.clus.distance.hierarchies.HierJaccardDistance
- m_Attr - Variable in class si.ijs.kt.clus.distance.primitive.timeseries.TimeSeriesDist
- m_Attr - Variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCRandIndex
- m_Attr - Variable in class si.ijs.kt.clus.ext.structuredTypes.SetStatistic
- m_Attr - Variable in class si.ijs.kt.clus.ext.structuredTypes.TupleStatistic
- m_Attr - Variable in class si.ijs.kt.clus.ext.timeseries.TimeSeriesStat
- m_Attr - Variable in class si.ijs.kt.clus.selection.XValDataSelection
- m_AttrHeuristic - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristic
- m_AttrHeuristic - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- m_AttrHeuristic - Variable in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- m_AttributeNames - Variable in class si.ijs.kt.clus.model.processor.ClusEnsemblePredictionWriter
- m_Attributes - Variable in class si.ijs.kt.clus.distance.ClusDistance
-
Attribute indices that must be included in distance computations: typically, all descriptive attributes, or nominal descriptive attributes (for sparse data).
- m_Attrs - Variable in class si.ijs.kt.clus.algo.tdidt.processor.NodeExampleCollector
- m_Attrs - Variable in class si.ijs.kt.clus.algo.tdidt.processor.NodeIDWriter
- m_Attrs - Variable in class si.ijs.kt.clus.error.common.ClusNominalError
- m_Attrs - Variable in class si.ijs.kt.clus.error.common.ClusNumericError
- m_Attrs - Variable in class si.ijs.kt.clus.error.common.ClusSetError
- m_Attrs - Variable in class si.ijs.kt.clus.model.processor.ClusEnsemblePredictionWriter
- m_Attrs - Variable in class si.ijs.kt.clus.model.processor.PredictionWriter
- m_Attrs - Variable in class si.ijs.kt.clus.statistic.ClassificationStat
- m_Attrs - Variable in class si.ijs.kt.clus.statistic.GeneticDistanceStat
- m_Attrs - Variable in class si.ijs.kt.clus.statistic.RegressionStatBase
- m_AttrWeighting - Variable in class si.ijs.kt.clus.distance.ClusDistance
- m_AverageAUPRC - Variable in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- m_AverageAUPRC - Variable in class si.ijs.kt.clus.error.mlc.MLROCAndPRCurve
- m_AverageAUPRC - Variable in class si.ijs.kt.clus.error.mlcForHmlc.MLROCAndPRCurve
- m_AverageAUROC - Variable in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- m_AverageAUROC - Variable in class si.ijs.kt.clus.error.mlc.MLROCAndPRCurve
- m_AverageAUROC - Variable in class si.ijs.kt.clus.error.mlcForHmlc.MLROCAndPRCurve
- m_AvgAllDistances - Variable in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- m_AvgDistances - Variable in class si.ijs.kt.clus.ext.structuredTypes.SetStatistic
- m_AvgDistances - Variable in class si.ijs.kt.clus.ext.structuredTypes.TupleStatistic
- m_AvgDistances - Variable in class si.ijs.kt.clus.ext.timeseries.TimeSeriesStat
- m_AvgIter - Variable in class si.ijs.kt.clus.ext.ilevelc.COPKMeansModel
- m_AvgPrecisionAtRecall - Variable in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- m_AvgPredictionsLock - Variable in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptimization
- m_bannedWeights - Variable in class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
-
Includes the weights that are banned.
- m_baseFuncPredictions - Variable in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem.OptimizationParameter
- m_BasicDist - Variable in class si.ijs.kt.clus.heuristic.GISHeuristic
- m_BasicDist - Variable in class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicSSD
- m_BasicDist - Variable in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristic
- m_BasicDist - Variable in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristicCompatibility
- m_Beam - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- m_Beam - Variable in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- m_BeamAttrHeuristic - Variable in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- m_BeamBestN - Variable in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- m_BeamChanged - Variable in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
- m_BeamChanged - Variable in class si.ijs.kt.clus.algo.rules.ClusRuleInduce
- m_BeamChanged - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- m_BeamChanged - Variable in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- m_BeamInduce - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- m_BeamInduce - Variable in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- m_BeamModelDistance - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- m_BeamPostPrune - Variable in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- m_BeamPostPruning - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- m_BeamPostPruning - Variable in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- m_BeamSearch - Variable in class si.ijs.kt.clus.main.ClusStatManager
- m_BeamSimilarity - Variable in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- m_BeamStats - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- m_BeamStats - Variable in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- m_BeamSyntacticConstrFile - Variable in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- m_BeamSyntConstr - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- m_BeamToForest - Variable in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- m_BeamWidth - Variable in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- m_BestC - Variable in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- m_BestConstraints - Variable in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
- m_BestEcc - Variable in class si.ijs.kt.clus.pruning.EncodingCostPruning
- m_BestHeur - Variable in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
- m_BestHeur - Variable in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- m_BestHeur - Variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- m_BestHeur - Variable in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- m_BestI - Variable in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- m_BestLeaf - Variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- m_BestNodeToPrune - Variable in class si.ijs.kt.clus.pruning.EncodingCostPruning
- m_BestSplit - Variable in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- m_BestTest - Variable in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
- m_BestTest - Variable in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- m_BestTest - Variable in class si.ijs.kt.clus.algo.split.FindBestTest
- m_BestTest - Variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- m_BestTreeSoFar - Variable in class si.ijs.kt.clus.pruning.EncodingCostPruning
- m_BetaI - Variable in class si.ijs.kt.clus.ext.ensemble.ClusBoostingForest
- m_BitMask - Variable in class si.ijs.kt.clus.data.type.BitwiseNominalAttrType
- m_BitPosition - Variable in class si.ijs.kt.clus.data.type.BitwiseNominalAttrType
- m_Bits - Variable in class si.ijs.kt.clus.data.type.BitwiseNominalAttrType
- m_Bits - Variable in class si.ijs.kt.clus.statistic.BitVectorStat
- m_BMRemoveEqualHeur - Variable in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- m_Boolean - Variable in class si.ijs.kt.clus.util.jeans.util.compound.DoubleBoolean
- m_Bound - Variable in class si.ijs.kt.clus.model.test.ClusRuleConstraintInduceTest
- m_Bound - Variable in class si.ijs.kt.clus.model.test.NumericTest
- m_BoundFolds - Variable in class si.ijs.kt.clus.ext.optxval.SoftNumericTest
- m_Bounds - Variable in class si.ijs.kt.clus.algo.kNN.methods.vpTree.VPNode
- m_Bounds - Variable in class si.ijs.kt.clus.ext.optxval.SoftNumericTest
- m_BranchFreq - Variable in class si.ijs.kt.clus.model.test.NodeTest
- m_BSortTrainParameter - Variable in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- m_Cache - Variable in class si.ijs.kt.clus.addon.sit.mtLearner.MTLearnerImpl
- m_CalErr - Variable in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- m_Canvas - Variable in class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI
- m_Cargs - Variable in class si.ijs.kt.clus.addon.hmc.HMCNodeWiseModels.hmcnwmodels.HMCNodeWiseModels
- m_Center - Variable in class si.ijs.kt.clus.ext.ilevelc.COPKMeansCluster
- m_Check - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileDouble
- m_Check - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileInt
- m_Child - Variable in class si.ijs.kt.clus.error.common.multiscore.MultiScoreWrapper
- m_ChildDistances - Variable in class si.ijs.kt.clus.distance.complex.ClusStructuredDistance
- m_Children - Variable in class si.ijs.kt.clus.ext.optiontree.MyNode
- m_Children - Variable in class si.ijs.kt.clus.util.jeans.tree.MyNode
- m_ChiSquareInvProb - Variable in class si.ijs.kt.clus.main.ClusStatManager
- m_Chooser - Variable in class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI
- m_CL - Variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCHeurStat
- m_Class - Variable in class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI
- m_Class - Variable in class si.ijs.kt.clus.algo.rules.tune.FIREROSTune
- m_Class - Variable in class si.ijs.kt.clus.algo.tdidt.ClusSITDecisionTree
- m_Class - Variable in class si.ijs.kt.clus.algo.tdidt.tune.CDTTuneFTest
- m_Class - Variable in class si.ijs.kt.clus.algo.tdidt.tune.CDTuneSizeConstrPruning
- m_ClassAttr - Variable in class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI
- m_ClassCounts - Variable in class si.ijs.kt.clus.statistic.ClassificationStat
- m_ClassList - Variable in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- m_ClassMap - Variable in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- m_ClassStat - Variable in class si.ijs.kt.clus.statistic.CombStat
- m_ClassTerm - Variable in class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- m_ClassWisePredictions - Variable in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- m_ClassWisePredictions - Variable in class si.ijs.kt.clus.error.mlc.MLROCAndPRCurve
- m_ClassWisePredictions - Variable in class si.ijs.kt.clus.error.mlcForHmlc.MLROCAndPRCurve
- m_Closure - Variable in class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI
- m_Cls - Variable in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageNodeWiseModels
- m_clss - Variable in class si.ijs.kt.clus.ext.semisupervised.ClusSemiSupervisedClassifier
- m_Clus - Variable in class si.ijs.kt.clus.addon.hmc.ClusAmandaRules.ClusAmandaRules
- m_Clus - Variable in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageSingleClass
- m_Clus - Variable in class si.ijs.kt.clus.addon.hmc.HMCNodeWiseModels.hmcnwmodels.HMCNodeWiseModels
- m_Clus - Variable in class si.ijs.kt.clus.addon.sit.mtLearner.ClusLearner
- m_Clus - Variable in class si.ijs.kt.clus.algo.ClusInductionAlgorithmType
- m_Clus - Variable in class si.ijs.kt.clus.algo.rules.ClusRuleFromTreeInduce
- m_Clus - Variable in class si.ijs.kt.clus.ext.optxval.OptXVal
-
Deprecated.
- m_ClusterID - Variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCStatistic
- m_ClusterIds - Variable in class si.ijs.kt.clus.heuristic.EncodingCost
- m_Clustering - Variable in class si.ijs.kt.clus.data.ClusSchema
- m_Clustering - Variable in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
- m_ClusteringStat - Variable in class si.ijs.kt.clus.algo.rules.ClusRule
-
Clustering statistics of examples covered by the rule.
- m_ClusteringStat - Variable in class si.ijs.kt.clus.algo.tdidt.ClusNode
- m_ClusteringStat - Variable in class si.ijs.kt.clus.ext.optiontree.MyNode
- m_ClusteringWeights - Variable in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- m_ClusteringWeights - Variable in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- m_ClusteringWeights - Variable in class si.ijs.kt.clus.heuristic.ClusHeuristic
- m_ClusteringWeights - Variable in class si.ijs.kt.clus.main.ClusStatManager
- m_ClusteringWeights - Variable in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
- m_ClusterMode - Static variable in class si.ijs.kt.clus.main.ClusStatManager
- m_Clusters - Variable in class si.ijs.kt.clus.ext.ilevelc.COPKMeans
- m_Clusters - Variable in class si.ijs.kt.clus.ext.ilevelc.COPKMeansModel
- m_Clusters - Variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCHeurStat
- m_Coll - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- m_Coll - Variable in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- m_Combo - Variable in class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI
- m_CombStat - Variable in class si.ijs.kt.clus.algo.rules.ClusRule
-
Combined statistics for training and testing data
- m_Comment - Variable in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- m_Compare - Variable in class si.ijs.kt.clus.ext.ensemble.ClusBoostingForest
- m_ComplDataIndices - Variable in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristic
- m_ComponentErrors - Variable in class si.ijs.kt.clus.ext.ensemble.ClusOOBWeights
- m_ComponentWeights - Variable in class si.ijs.kt.clus.ext.ensemble.ClusOOBWeights
- m_ComprTable - Variable in class si.ijs.kt.clus.util.jeans.util.DisjointSetForest
- m_ComputeSpearman - Variable in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- m_ConfidenceScores - Variable in class si.ijs.kt.clus.ext.semisupervised.confidence.PredictionConfidence
- m_Constraint - Variable in class si.ijs.kt.clus.algo.rules.ClusRule
- m_ConstraintIndex - Variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCHeurStat
- m_Constraints - Variable in class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI.ILevelCComponent
- m_Constraints - Variable in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
- m_Constraints - Variable in class si.ijs.kt.clus.ext.ilevelc.COPKMeans
- m_Constraints - Variable in class si.ijs.kt.clus.ext.ilevelc.DerivedConstraintsComputer
- m_Constraints - Variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCHeurStat
- m_Constraints - Variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- m_ConstraintsIndex - Variable in class si.ijs.kt.clus.ext.ilevelc.COPKMeans
- m_ConstraintsIndex - Variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- m_ConstrFile - Variable in class si.ijs.kt.clus.algo.tdidt.ConstraintDFInduce
- m_ContPred - Variable in class si.ijs.kt.clus.error.hmlc.HierRMSError
- m_ContTable - Variable in class si.ijs.kt.clus.error.ContingencyTable
- m_ContTable - Variable in class si.ijs.kt.clus.error.NominalCorrelation
- m_Correct - Variable in class si.ijs.kt.clus.error.hmlc.HierLevelAccuracy
- m_CorrectLevel - Variable in class si.ijs.kt.clus.error.hmlc.HierLevelAccuracy
- m_Count - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamTreeElemOld
- m_Count - Variable in class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- m_Count - Variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCRandIndex
- m_Count - Variable in class si.ijs.kt.clus.util.jeans.math.SingleStat
- m_Count - Variable in class si.ijs.kt.clus.util.jeans.util.compound.DoubleBooleanCount
- m_counter - Variable in class si.ijs.kt.clus.ext.semisupervised.confidence.PredictionConfidence
- m_CountLevel - Variable in class si.ijs.kt.clus.error.hmlc.HierLevelAccuracy
- m_Counts - Variable in class si.ijs.kt.clus.selection.BagSelection
- m_covariances - Variable in class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
-
Covariances between weights.
- m_cover - Variable in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem.RulePred
- m_Coverage - Variable in class si.ijs.kt.clus.algo.rules.ClusRule
-
Number of examples covered by this rule Index is 0 for train set, 1 for test set
- m_CoverageBits - Variable in class si.ijs.kt.clus.algo.rules.ClusRule
-
Bit vector of covered examples
- m_CoverageCorrectBits - Variable in class si.ijs.kt.clus.algo.rules.ClusRule
-
Bit vector of corretly covered examples
- m_CoveredBitVectArray - Variable in class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicDispersion
- m_CrIndex - Variable in class si.ijs.kt.clus.pruning.SizeConstraintPruning
- m_CrInt - Variable in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- m_CrTree - Variable in class si.ijs.kt.clus.pruning.PruneTree
- m_CrValue - Variable in class si.ijs.kt.clus.data.type.primitive.IndexAttrType
- m_CSets - Variable in class si.ijs.kt.clus.ext.ilevelc.COPKMeansModel
- m_cTree - Variable in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveDFSearch
- m_Curr - Variable in class si.ijs.kt.clus.util.jeans.util.list.MyListIter
- m_CurrentModel - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- m_CurrentModel - Variable in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- m_data - Variable in class si.ijs.kt.clus.statistic.ClassificationStat
- m_Data - Variable in class si.ijs.kt.clus.addon.sit.mtLearner.MTLearnerImpl
- m_Data - Variable in class si.ijs.kt.clus.addon.sit.Sit
- m_Data - Variable in class si.ijs.kt.clus.algo.rules.ClusRule
-
Array of tuples covered by this rule
- m_Data - Variable in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
- m_Data - Variable in class si.ijs.kt.clus.data.cols.attribute.NominalAttribute
- m_Data - Variable in class si.ijs.kt.clus.data.cols.attribute.NumericAttribute
- m_Data - Variable in class si.ijs.kt.clus.data.cols.attribute.TimeSeriesAttribute
- m_Data - Variable in class si.ijs.kt.clus.data.rows.FileTupleIterator
- m_Data - Variable in class si.ijs.kt.clus.data.rows.MemoryTupleIterator
- m_Data - Variable in class si.ijs.kt.clus.ext.ilevelc.COPKMeans
- m_Data - Variable in class si.ijs.kt.clus.ext.ilevelc.COPKMeansCluster
- m_Data - Variable in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- m_Data - Variable in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristic
- m_Data - Variable in class si.ijs.kt.clus.heuristic.GISHeuristic
- m_Data - Variable in class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicSSD
- m_Data - Variable in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristic
- m_Data - Variable in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristicCompatibility
- m_Data - Variable in class si.ijs.kt.clus.pruning.BottomUpPruningVSB
- m_Data - Variable in class si.ijs.kt.clus.pruning.EncodingCostPruning
- m_Data - Variable in class si.ijs.kt.clus.pruning.SizeConstraintPruning
- m_Data - Variable in class si.ijs.kt.clus.util.jeans.math.matrix.MSymMatrix
- m_Data - Variable in class si.ijs.kt.clus.util.jeans.util.sort.DoubleIndexSorter
- m_dataExample - Variable in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem.TrueValues
-
Data tuple this true value is connected.
- m_DataIndexes - Variable in class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicDispersion
- m_DataIndexesPerVal - Variable in class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicDispersion
- m_DataIndices - Variable in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristic
- m_DataIndices - Variable in class si.ijs.kt.clus.heuristic.GISHeuristic
- m_DataIndices - Variable in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristicCompatibility
- m_DataLine - Variable in class si.ijs.kt.clus.data.io.ARFFFile
- m_DataSet - Variable in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageTreeModel
- m_Date - Variable in class si.ijs.kt.clus.main.settings.section.SettingsGeneric
-
Generic information *
- m_Debug - Variable in class si.ijs.kt.clus.algo.kNN.methods.SearchAlgorithm
- m_Debug - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSizeConstraints
- m_Default - Variable in class si.ijs.kt.clus.error.common.ClusNominalError
- m_Default - Variable in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- m_DefaultData - Variable in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
Array of tuples covered by the default rule.
- m_DefinitionFile - Variable in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- m_Depth - Variable in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
-
Depth of the term in the hierarchy.
- m_Descriptive - Variable in class si.ijs.kt.clus.data.ClusSchema
- m_Descriptive - Variable in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
- m_DFirst - Variable in class si.ijs.kt.clus.ext.optxval.OptXValInduce
- m_Dim - Variable in class si.ijs.kt.clus.error.common.ClusError
-
Number of dimensions to compute the error for
- m_DirName - Variable in class si.ijs.kt.clus.main.settings.section.SettingsGeneric
- m_Disabled - Variable in class si.ijs.kt.clus.data.ClusSchema
- m_Disabled - Variable in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
- m_DiscrMean - Variable in class si.ijs.kt.clus.statistic.WHTDStatistic
- m_DispersionWeights - Variable in class si.ijs.kt.clus.main.ClusStatManager
- m_Dist - Variable in class si.ijs.kt.clus.error.ICVPairwiseDistancesError
- m_Distance - Variable in class si.ijs.kt.clus.error.AvgDistancesError
- m_Distance - Variable in class si.ijs.kt.clus.statistic.SumPairwiseDistancesStat
- m_Distance - Variable in class si.ijs.kt.clus.statistic.WHTDStatistic
- m_distances - Static variable in class si.ijs.kt.clus.heuristic.GISHeuristic
- m_distances - Static variable in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristicCompatibility
- m_distancesN - Static variable in class si.ijs.kt.clus.heuristic.GISHeuristic
- m_distancesN - Static variable in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristicCompatibility
- m_distancesS - Static variable in class si.ijs.kt.clus.heuristic.GISHeuristic
- m_distancesS - Static variable in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristicCompatibility
- m_DistanceToBeam - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- m_DistMatrix - Variable in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- m_Done - Variable in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- m_Double - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrDouble
- m_Double - Variable in class si.ijs.kt.clus.util.jeans.util.compound.DoubleBoolean
- m_Double - Variable in class si.ijs.kt.clus.util.jeans.util.compound.DoubleObject
- m_Doubles - Variable in class si.ijs.kt.clus.data.rows.DataTuple
-
Numeric attributes of the tuple.
- m_DummyTypes - Variable in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- m_Duration - Variable in class si.ijs.kt.clus.heuristic.EncodingCost
- m_earlyStopProbl - Variable in class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
-
New problem for computing fitness function with the early stop data
- m_earlyStopStep - Variable in class si.ijs.kt.clus.util.tools.optimization.gd.GDAlgorithm
-
After how many steps check if early stopping is ok already
- m_earlyStopStepsizeReducedNb - Variable in class si.ijs.kt.clus.util.tools.optimization.gd.GDAlgorithm
-
After finding the early stop, how many times we have tried to reduce the step size
- m_EC - Variable in class si.ijs.kt.clus.pruning.EncodingCostPruning
- m_Ecc - Variable in class si.ijs.kt.clus.pruning.EncodingCostPruning
- m_EccGain - Variable in class si.ijs.kt.clus.pruning.EncodingCostPruning
- m_Efficiency - Variable in class si.ijs.kt.clus.statistic.SumPairwiseDistancesStat
- m_Elements - Variable in class si.ijs.kt.clus.selection.XValGroup
- m_Enable - Variable in class si.ijs.kt.clus.util.jeans.io.MyFile
- m_Enabled - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNode
- m_EnsembleROSInfo - Variable in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptimization
-
For ROS ensembles
- m_EnsembleVotingType - Variable in class si.ijs.kt.clus.ext.ensemble.ClusOOBWeights
- m_EnsPredSchema - Variable in class si.ijs.kt.clus.model.processor.ClusEnsemblePredictionWriter
- m_Error - Variable in class si.ijs.kt.clus.error.common.ClusErrorList
- m_Error - Variable in class si.ijs.kt.clus.main.settings.section.SettingsSIT
- m_Error - Variable in class si.ijs.kt.clus.pruning.SequencePruningVSB
- m_ErrorMeasure - Variable in class si.ijs.kt.clus.pruning.CartPruning
- m_ErrorMeasure - Variable in class si.ijs.kt.clus.pruning.SizeConstraintPruning
- m_Errors - Variable in class si.ijs.kt.clus.algo.rules.ClusRule
- m_Errors - Variable in class si.ijs.kt.clus.error.ClusSumError
- m_ErrorWithNulls - Variable in class si.ijs.kt.clus.error.common.ClusErrorList
- m_Eval - Variable in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
-
Classes to be evaluated at the end, ignoring hierarchy
- m_EvalArray - Variable in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageSingleClass
- m_EvalClass - Variable in class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy
- m_EvalClass - Variable in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- m_EvalClass - Variable in class si.ijs.kt.clus.error.mlcForHmlc.MlcMeasuresForHmlc
- m_Examples - Variable in class si.ijs.kt.clus.data.type.primitive.SparseNumericAttrType
- m_ExampleWeight - Variable in class si.ijs.kt.clus.data.type.primitive.SparseNumericAttrType
- m_Exhaustive - Variable in class si.ijs.kt.clus.main.settings.section.SettingsExhaustiveSearch
-
Section: Exhaustive search *
- m_Exs - Variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCRandIndex
- m_ExtendPR - Variable in class si.ijs.kt.clus.error.mlc.MLROCAndPRCurve
- m_ExtendPR - Variable in class si.ijs.kt.clus.error.mlcForHmlc.MLROCAndPRCurve
- m_ExtendPR - Variable in class si.ijs.kt.clus.error.ROCAndPRCurve
- m_ExtraErr - Variable in class si.ijs.kt.clus.model.ClusModelInfo
- m_F1Sum - Variable in class si.ijs.kt.clus.error.mlc.MLFOneMeasure
- m_FastBS - Variable in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- m_FeatureRanking - Variable in class si.ijs.kt.clus.ext.featureRanking.relief.ReliefInduce
- m_File - Variable in class si.ijs.kt.clus.data.rows.DiskTupleIterator
- m_FileTestSet - Variable in class si.ijs.kt.clus.main.ClusRun
- m_FillIn - Variable in class si.ijs.kt.clus.algo.tdidt.ConstraintDFInduce
- m_FimpTableHeader - Variable in class si.ijs.kt.clus.ext.featureRanking.ClusFeatureRanking
-
Header for the table of relevances in the .fimp file
- m_FinalMemory - Static variable in class si.ijs.kt.clus.main.ClusStat
- m_Find_MinMax - Variable in class si.ijs.kt.clus.algo.tdidt.DepthFirstInduce
- m_FindBestTest - Variable in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
- m_FindBestTest - Variable in class si.ijs.kt.clus.algo.rules.ClusRuleInduce
- m_FindBestTest - Variable in class si.ijs.kt.clus.algo.tdidt.DepthFirstInduce
- m_FindBestTest - Variable in class si.ijs.kt.clus.ext.bestfirst.BestFirstInduce
- m_FindBestTests - Variable in class si.ijs.kt.clus.ext.optiontree.DepthFirstInduceWithOptions
- m_Finished - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- m_First - Variable in class si.ijs.kt.clus.algo.tdidt.processor.NodeIDWriter
- m_FirstIndex - Variable in class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI.ILevelCComponent
- m_Fitness - Variable in class si.ijs.kt.clus.util.tools.optimization.de.DEIndividual
-
Fitness of this DE individual.
- m_Fname - Variable in class si.ijs.kt.clus.algo.tdidt.processor.NodeIDWriter
- m_Fname - Variable in class si.ijs.kt.clus.main.ClusOutput
- m_Fname - Variable in class si.ijs.kt.clus.model.processor.ClusEnsemblePredictionWriter
- m_Fname - Variable in class si.ijs.kt.clus.model.processor.PredictionWriter
- m_FName - Variable in class si.ijs.kt.clus.algo.tdidt.processor.NodeExampleCollector
- m_Fold - Variable in class si.ijs.kt.clus.selection.XValSelection
- m_Folds - Variable in class si.ijs.kt.clus.data.rows.DataTuple
-
Hack for efficient xval, should be replaced later.
- m_Folds - Variable in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- m_Folds - Variable in class si.ijs.kt.clus.ext.optxval.OptXValNode
- m_Folds - Variable in class si.ijs.kt.clus.ext.optxval.OptXValSplit
- m_Folds - Variable in class si.ijs.kt.clus.ext.optxval.SoftNumericTest
- m_FoldsMean - Variable in class si.ijs.kt.clus.ext.timeseries.TimeSeriesSignificantChangeTesterXVAL
- m_FoldsMedoid - Variable in class si.ijs.kt.clus.ext.timeseries.TimeSeriesSignificantChangeTesterXVAL
- m_Format - Variable in class si.ijs.kt.clus.model.processor.ClusEnsemblePredictionWriter
- m_FTests - Variable in class si.ijs.kt.clus.addon.hmc.HMCNodeWiseModels.hmcnwmodels.HMCNodeWiseModels
- m_FTests - Variable in class si.ijs.kt.clus.algo.tdidt.tune.CDTTuneFTest
- m_GainRatio - Variable in class si.ijs.kt.clus.heuristic.GainHeuristic
- m_GainRatio - Variable in class si.ijs.kt.clus.heuristic.GISHeuristic
- m_Gamma - Variable in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
- m_GIS - Variable in class si.ijs.kt.clus.data.ClusSchema
- m_GIS - Variable in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
- m_Global - Variable in class si.ijs.kt.clus.algo.rules.ClusCalcRuleErrorProc
- m_Global - Variable in class si.ijs.kt.clus.model.processor.PredictionWriter
- m_Global - Variable in class si.ijs.kt.clus.statistic.WHTDStatistic
- m_GlobalSS - Variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- m_gradients - Variable in class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
-
Computed negative gradient averages for each of the dimensions [iWeight]
- m_Graph - Variable in class si.ijs.kt.clus.algo.tdidt.tune.CDTuneSizeConstrPruning
- m_GzipOutput - Variable in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- m_hArray - Variable in class si.ijs.kt.clus.util.jeans.util.array.MDoubleArray
- m_hArray - Variable in class si.ijs.kt.clus.util.jeans.util.array.MIntArray
- m_Hash - Variable in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- m_Hash - Variable in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- m_HashCode - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- m_HasMissing - Variable in class si.ijs.kt.clus.algo.tdidt.tune.CDTuneSizeConstrPruning
- m_HasMissing - Variable in class si.ijs.kt.clus.pruning.SequencePruningVSB
- m_HasName - Variable in class si.ijs.kt.clus.model.ClusModelInfo
- m_HasRuleErrors - Variable in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- m_hEntries - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileSection
- m_hEntryList - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileSection
- m_HeurComputed - Variable in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- m_Heuristic - Variable in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
- m_Heuristic - Variable in class si.ijs.kt.clus.algo.rules.ClusRuleInduce
- m_Heuristic - Variable in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- m_Heuristic - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- m_Heuristic - Variable in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- m_Heuristic - Variable in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- m_Heuristic - Variable in class si.ijs.kt.clus.ext.optxval.OptXValInduce
- m_Heuristic - Variable in class si.ijs.kt.clus.main.ClusStatManager
- m_HeurTimer - Variable in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- m_Hier - Variable in class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrType
- m_Hier - Variable in class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy
- m_Hier - Variable in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- m_Hier - Variable in class si.ijs.kt.clus.error.hmlc.HierLevelAccuracy
- m_Hier - Variable in class si.ijs.kt.clus.error.hmlc.HierRMSError
- m_Hier - Variable in class si.ijs.kt.clus.error.mlcForHmlc.MlcMeasuresForHmlc
- m_Hier - Variable in class si.ijs.kt.clus.main.ClusStatManager
- m_Hier - Variable in class si.ijs.kt.clus.statistic.WHTDStatistic
- m_HierClassThreshold - Variable in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- m_HierDistance - Variable in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- m_HierEmptySetIndicator - Variable in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- m_HierEvalClasses - Variable in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- m_HierNoRootPreds - Variable in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- m_HierOptimizeErrorMeasure - Variable in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- m_HierPruneInSig - Variable in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- m_HierSep - Variable in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- m_HierSingleLabel - Variable in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- m_HierStat - Variable in class si.ijs.kt.clus.statistic.CombStatClassRegHier
- m_HierType - Variable in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- m_HierType - Variable in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- m_HierUseBonferroni - Variable in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- m_HierUseMEstimate - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- m_HierWParam - Variable in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- m_HierWType - Variable in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- m_hInstance - Static variable in class si.ijs.kt.clus.util.jeans.util.sort.MStringSorter
- m_History - Variable in class si.ijs.kt.clus.algo.kNN.methods.vpTree.VPItem
- m_HMTRHier - Variable in class si.ijs.kt.clus.main.ClusStatManager
- m_HMTRType - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsHMTR
- m_hName - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNode
- m_hParent - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNode
- m_hPrototype - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileSectionGroup
- m_hSections - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileSectionGroup
- m_hValue - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileArray
- m_I - Variable in class si.ijs.kt.clus.statistic.ClassificationStat
- m_ID - Variable in class si.ijs.kt.clus.algo.rules.ClusRule
- m_ID - Variable in class si.ijs.kt.clus.algo.tdidt.ClusNode
- m_ID - Variable in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- m_IE - Variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCHeurStat
- m_ILevelCAlpha - Variable in class si.ijs.kt.clus.main.settings.section.SettingsILevelC
- m_ILevelCCOPKMeans - Variable in class si.ijs.kt.clus.main.settings.section.SettingsILevelC
- m_ILevelCFile - Variable in class si.ijs.kt.clus.main.settings.section.SettingsILevelC
-
Section: Instance level constraints *
- m_ILevelCMPCKMeans - Variable in class si.ijs.kt.clus.main.settings.section.SettingsILevelC
- m_ILevelNbRandomConstr - Variable in class si.ijs.kt.clus.main.settings.section.SettingsILevelC
- m_Illegal - Variable in class si.ijs.kt.clus.ext.ilevelc.COPKMeansModel
- m_implicitLinearTerms - Variable in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem.OptimizationParameter
- m_Index - Variable in class si.ijs.kt.clus.data.cols.attribute.NominalTarget
- m_Index - Variable in class si.ijs.kt.clus.data.cols.attribute.NumericAttribute
- m_Index - Variable in class si.ijs.kt.clus.data.cols.attribute.NumericTarget
- m_Index - Variable in class si.ijs.kt.clus.data.cols.attribute.TimeSeriesTarget
- m_Index - Variable in class si.ijs.kt.clus.data.rows.DataTuple
-
Unknown
- m_Index - Variable in class si.ijs.kt.clus.data.rows.MemoryTupleIterator
- m_Index - Variable in class si.ijs.kt.clus.data.rows.RowData
- m_Index - Variable in class si.ijs.kt.clus.data.type.ClusAttrType
- m_Index - Variable in class si.ijs.kt.clus.data.type.primitive.IndexAttrType
- m_Index - Variable in class si.ijs.kt.clus.data.type.primitive.IntegerAttrType.MySerializable
- m_Index - Variable in class si.ijs.kt.clus.ext.ilevelc.COPKMeansCluster
- m_Index - Variable in class si.ijs.kt.clus.main.ClusRun
- m_Index - Variable in class si.ijs.kt.clus.model.test.NominalTest
- m_Index - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileSection
- m_Index - Variable in class si.ijs.kt.clus.util.jeans.util.array.MDoubleArrayComparator
- m_Index - Variable in class si.ijs.kt.clus.util.jeans.util.compound.IndexedItem
- m_Index - Variable in class si.ijs.kt.clus.util.jeans.util.sort.DoubleIndexSorter
- m_Inds - Variable in class si.ijs.kt.clus.util.tools.optimization.de.DEPopulation
- m_IndTime - Variable in class si.ijs.kt.clus.main.ClusModelInfoList
- m_IndTimeSequential - Variable in class si.ijs.kt.clus.main.ClusModelInfoList
- m_Induce - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- m_Induce - Variable in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- m_Init - Variable in class si.ijs.kt.clus.data.rows.DiskTupleIterator
- m_Initialized - Variable in class si.ijs.kt.clus.model.processor.PredictionWriter
- m_InitialMemory - Static variable in class si.ijs.kt.clus.main.ClusStat
- m_Instance - Static variable in class si.ijs.kt.clus.ext.constraint.ClusConstraintFile
- m_Instance - Static variable in class si.ijs.kt.clus.statistic.StatisticPrintInfo
- m_Instance - Static variable in class si.ijs.kt.clus.util.jeans.util.sort.DoubleIndexSorter
- m_Int - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrInt
- m_Int - Variable in class si.ijs.kt.clus.util.jeans.util.compound.IntObject
- m_Intermediate - Variable in class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- m_Intermediates - Variable in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchyPreproc
- m_Interval - Variable in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- m_IntIndex - Variable in class si.ijs.kt.clus.data.type.primitive.SparseNumericAttrType
- m_Ints - Variable in class si.ijs.kt.clus.data.rows.DataTuple
-
Nominal attributes of the tuple.
- m_Invalid - Variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCRandIndex
- m_IsAcceptable - Variable in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- m_IsAcceptable - Variable in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- m_IsClustering - Variable in class si.ijs.kt.clus.data.type.ClusAttrType
- m_IsComputed - Variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCRandIndex
- m_isCovComputed - Variable in class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
-
Is covariance computed for this dimension? To reduce computational costs, covariances for certain dimension are computed only if needed Weight is always zero if the corresponding coefficient is zero.
- m_IsDescriptive - Variable in class si.ijs.kt.clus.data.type.ClusAttrType
- m_IsDouble - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrDouble
- m_IsEnsembleRanking - Variable in class si.ijs.kt.clus.ext.featureRanking.ClusFeatureRanking
- m_isEqualLength - Static variable in class si.ijs.kt.clus.data.type.complex.SetAttrType
- m_isEqualLength - Static variable in class si.ijs.kt.clus.data.type.primitive.TimeSeriesAttrType
- m_IsInt - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrInt
- m_IsLocked - Variable in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- m_IsModified - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSizeConstraints
- m_IsMSENominal - Variable in class si.ijs.kt.clus.pruning.CartPruning
- m_IsPreset - Static variable in class si.ijs.kt.clus.util.ClusRandom
- m_IsSet - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominal
- m_IsSinglePass - Variable in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchyPreproc
- m_IsSoft - Variable in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- m_IsSparse - Variable in class si.ijs.kt.clus.data.ClusSchema
- m_IsSparse - Variable in class si.ijs.kt.clus.distance.ClusDistance
- m_isWeightNonZero - Variable in class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
-
Is the weight nonzero for this run.
- m_Iterations - Variable in class si.ijs.kt.clus.ext.ilevelc.COPKMeansModel
- m_iType - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileArray
- m_JaccardSum - Variable in class si.ijs.kt.clus.error.mlc.MLAccuracy
- m_K - Variable in class si.ijs.kt.clus.ext.ilevelc.COPKMeans
- m_K - Variable in class si.ijs.kt.clus.ext.ilevelc.COPKMeansModel
- m_Key - Variable in class si.ijs.kt.clus.data.ClusSchema
- m_Key - Variable in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
- m_Labels - Variable in class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrType
- m_Last - Variable in class si.ijs.kt.clus.util.jeans.util.list.MyListIter
- m_LeafCount - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSizeConstraints
- m_LeafTuples - Variable in class si.ijs.kt.clus.algo.tdidt.ClusNode
- m_Learner - Variable in class si.ijs.kt.clus.addon.sit.Sit
- m_Learner - Variable in class si.ijs.kt.clus.main.settings.section.SettingsSIT
- m_LeftSubTree - Variable in class si.ijs.kt.clus.algo.kNN.methods.kdTree.KDNode
- m_LeftSubTree - Variable in class si.ijs.kt.clus.algo.kNN.methods.vpTree.VPNode
- m_Level - Variable in class si.ijs.kt.clus.algo.kNN.methods.kdTree.KDNode
- m_LibLoaded - Static variable in class si.ijs.kt.clus.util.ResourceInfo
- m_Line - Variable in class si.ijs.kt.clus.model.test.FakeTest
- m_Lines - Variable in class si.ijs.kt.clus.model.test.FakeTest
- m_ListTest - Variable in class si.ijs.kt.clus.algo.kNN.methods.bfMethod.BruteForce
- m_ListTrain - Variable in class si.ijs.kt.clus.algo.kNN.methods.bfMethod.BruteForce
- m_lLen - Variable in class si.ijs.kt.clus.util.jeans.util.array.MDoubleArray
- m_lLen - Variable in class si.ijs.kt.clus.util.jeans.util.array.MIntArray
- M_LN2 - Static variable in class si.ijs.kt.clus.util.jeans.math.MathUtil
- m_Load - Variable in class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI
- m_LoadedMemory - Static variable in class si.ijs.kt.clus.main.ClusStat
- m_LoadFromModelFile - Variable in class si.ijs.kt.clus.main.settings.section.SettingsModel
- m_LogGammaAlpha - Variable in class si.ijs.kt.clus.heuristic.EncodingCost
- m_LogPMatrix - Variable in class si.ijs.kt.clus.heuristic.EncodingCost
- m_Lookup - Variable in class si.ijs.kt.clus.util.jeans.io.range.NominalType
- m_lSize - Variable in class si.ijs.kt.clus.util.jeans.util.array.MDoubleArray
- m_lSize - Variable in class si.ijs.kt.clus.util.jeans.util.array.MIntArray
- m_MainTarget - Variable in class si.ijs.kt.clus.addon.sit.mtLearner.MTLearnerImpl
- m_MainTarget - Variable in class si.ijs.kt.clus.main.settings.section.SettingsSIT
-
Section: Selective inductive transfer *
- m_MajorityClasses - Variable in class si.ijs.kt.clus.statistic.ClassificationStat
- m_Manager - Variable in class si.ijs.kt.clus.ext.ilevelc.MPCKMeansWrapper
- m_Manager - Variable in class si.ijs.kt.clus.ext.ilevelc.SimpleClusterModel
- m_Manager - Variable in class si.ijs.kt.clus.model.ClusModelInfo
- m_Map - Variable in class si.ijs.kt.clus.data.rows.SparseDataTuple
- m_Map - Variable in class si.ijs.kt.clus.util.jeans.util.DisjointSetForest
- m_Mappings - Variable in class si.ijs.kt.clus.addon.hmc.HMCNodeWiseModels.hmcnwmodels.HMCNodeWiseModels
- m_Matrix - Variable in class si.ijs.kt.clus.distance.complex.tuples.SSPDMatrix
- m_Max - Variable in class si.ijs.kt.clus.data.type.primitive.IndexAttrType
- m_Max - Variable in class si.ijs.kt.clus.util.jeans.math.SingleStat
- m_MaxDepth - Variable in class si.ijs.kt.clus.error.hmlc.HierLevelAccuracy
- m_MaxDepth - Variable in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- m_MaxDepth - Variable in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
-
Maximal depth of the parents
- m_MaxDouble - Variable in class si.ijs.kt.clus.util.jeans.io.range.DoubleRangeCheck
- m_MaxError - Variable in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- m_MaxError - Variable in class si.ijs.kt.clus.pruning.SizeConstraintPruning
- m_MaxIndex - Variable in class si.ijs.kt.clus.pruning.SizeConstraintPruning
- m_MaxInt - Variable in class si.ijs.kt.clus.util.jeans.io.range.IntRangeCheck
- m_MaxNbClasses - Variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- m_MaxSize - Variable in class si.ijs.kt.clus.algo.tdidt.tune.CDTuneSizeConstrPruning
- m_MaxSize - Variable in class si.ijs.kt.clus.pruning.CartPruning
- m_MaxSize - Variable in class si.ijs.kt.clus.pruning.SizeConstraintPruning
- m_MaxSplits - Variable in class si.ijs.kt.clus.ext.optiontree.FindBestTests
- m_MaxStats - Variable in class si.ijs.kt.clus.algo.split.FindBestTest
- m_MaxStats - Variable in class si.ijs.kt.clus.ext.optiontree.FindBestTests
- m_MaxStats - Variable in class si.ijs.kt.clus.ext.optxval.OptXValInduce
- m_MaxTreeSize - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- m_MaxTreeSize - Variable in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- m_MaxTuples - Variable in class si.ijs.kt.clus.algo.kNN.methods.kdTree.KDTree
- m_Means - Variable in class si.ijs.kt.clus.statistic.RegressionStatBase
- m_MeanValues - Variable in class si.ijs.kt.clus.error.common.multiscore.MultiScoreStat
- m_Measure - Variable in class si.ijs.kt.clus.error.mlc.MLaverageAUPRC
- m_Measure - Variable in class si.ijs.kt.clus.error.mlc.MLaverageAUROC
- m_Measure - Variable in class si.ijs.kt.clus.error.mlc.MLweightedAUPRC
- m_Median - Variable in class si.ijs.kt.clus.algo.kNN.methods.vpTree.VPNode
- m_MEstimate - Variable in class si.ijs.kt.clus.main.settings.section.SettingsNominal
-
Section: Nominal - Should move? *
- m_Mgr - Variable in class si.ijs.kt.clus.ext.ilevelc.COPKMeans
- m_Mgr - Variable in class si.ijs.kt.clus.ext.ilevelc.COPKMeansCluster
- m_Mimic - Variable in class si.ijs.kt.clus.data.type.hierarchies.FlatClassesAttrType
- m_Min - Variable in class si.ijs.kt.clus.data.type.primitive.IndexAttrType
- m_Min - Variable in class si.ijs.kt.clus.util.jeans.math.SingleStat
- m_MinDepth - Variable in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
-
Minimal depth of the parents
- m_MinDouble - Variable in class si.ijs.kt.clus.util.jeans.io.range.DoubleRangeCheck
- m_MinExamples - Variable in class si.ijs.kt.clus.heuristic.stopCriterion.ClusStopCriterionMinNbExamples
- m_minFitness - Variable in class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
-
List of old fitnesses for plateau detection (andy for debugging)
- m_minFitWeights - Variable in class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
-
Weights when the Fitness was minimum
- m_MinInt - Variable in class si.ijs.kt.clus.util.jeans.io.range.IntRangeCheck
- m_MinKnownW - Variable in class si.ijs.kt.clus.main.settings.section.SettingsModel
- m_MinLeafWeight - Variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- m_MinNbEx - Variable in class si.ijs.kt.clus.main.settings.section.SettingsModel
- m_MinValues - Variable in class si.ijs.kt.clus.distance.primitive.SearchDistance
- m_MinW - Variable in class si.ijs.kt.clus.main.settings.section.SettingsModel
-
Section: Model *
- m_MinWeight - Variable in class si.ijs.kt.clus.ext.semisupervised.SemiSupMinLabeledWeightStopCrit
- m_MinWeight - Variable in class si.ijs.kt.clus.heuristic.stopCriterion.ClusStopCriterionMinWeight
- m_MissIndex - Variable in class si.ijs.kt.clus.model.test.SubsetTest
- m_Missing - Variable in class si.ijs.kt.clus.algo.tdidt.processor.NodeExampleCollector
- m_Missing - Variable in class si.ijs.kt.clus.algo.tdidt.processor.NodeIDWriter
- m_MissingStat - Variable in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- m_MissingStat - Variable in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- m_MixtureValues - Variable in class si.ijs.kt.clus.heuristic.EncodingCost
- m_MixtureValuesRecode4 - Variable in class si.ijs.kt.clus.heuristic.EncodingCost
- m_ML - Variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCHeurStat
- m_Mode - Variable in class si.ijs.kt.clus.algo.rules.ClusRulesFromTree
-
Currently two modes are supported: Settings.CONVERT_RULES_LEAVES: Generate one rule for each leaf of the tree Settings.CONVERT_RULES_ALLNODES: Generate one rule for each node of the tree (including internal nodes) except for the root
- m_Model - Variable in class si.ijs.kt.clus.model.ClusModelInfo
- m_ModelIDFiles - Variable in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- m_ModelInfos - Variable in class si.ijs.kt.clus.model.io.ClusModelCollectionIO
- m_ModelNames - Variable in class si.ijs.kt.clus.model.processor.PredictionWriter
- m_ModelNamesMap - Variable in class si.ijs.kt.clus.model.processor.PredictionWriter
- m_ModelParts - Variable in class si.ijs.kt.clus.model.processor.PredictionWriter
- m_Models - Variable in class si.ijs.kt.clus.main.ClusModelInfoList
- m_ModelSize - Variable in class si.ijs.kt.clus.model.ClusModelInfo
- m_Modified - Variable in class si.ijs.kt.clus.statistic.BitVectorStat
- m_MTLearner - Variable in class si.ijs.kt.clus.addon.sit.searchAlgorithm.AllTargets
- m_MultiLabelOptimizeThreshold - Variable in class si.ijs.kt.clus.main.settings.section.SettingsMLC
- m_MultiLabelRankingMeasure - Variable in class si.ijs.kt.clus.main.settings.section.SettingsMLC
- m_MultiLabelThreshold - Variable in class si.ijs.kt.clus.main.settings.section.SettingsMLC
-
Section: Multi-label classification *
- m_MValue - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristicMEstimate
- m_Name - Variable in class si.ijs.kt.clus.data.type.ClusAttrType
- m_Name - Variable in class si.ijs.kt.clus.model.ClusModelInfo
- m_Name - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileEntry
- m_Names - Variable in class si.ijs.kt.clus.util.jeans.io.range.NominalType
- m_NameToValue - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileInt
- m_NbAttrs - Variable in class si.ijs.kt.clus.data.ClusSchema
- m_NbAttrs - Variable in class si.ijs.kt.clus.statistic.RegressionStatBase
- m_NbClass - Variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCHeurStat
- m_NbClasses - Variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- m_NbCorrect - Variable in class si.ijs.kt.clus.error.Accuracy
- m_NbCorrect - Variable in class si.ijs.kt.clus.error.mlc.SubsetAccuracy
- m_NbCover - Variable in class si.ijs.kt.clus.error.common.ClusErrorList
- m_NbDoubles - Variable in class si.ijs.kt.clus.data.ClusSchema
- m_NbElements - Variable in class si.ijs.kt.clus.selection.XValGroup
- m_nbEx - Variable in class si.ijs.kt.clus.error.MSError
- m_nbEx - Variable in class si.ijs.kt.clus.error.sets.Accuracy
- m_nbEx - Variable in class si.ijs.kt.clus.error.sets.F1Score
- m_nbEx - Variable in class si.ijs.kt.clus.error.sets.HammingLossError
- m_nbEx - Variable in class si.ijs.kt.clus.error.sets.Precision
- m_nbEx - Variable in class si.ijs.kt.clus.error.sets.Recall
- m_nbEx - Variable in class si.ijs.kt.clus.error.sets.SubsetAccuracy
- m_NbExamples - Variable in class si.ijs.kt.clus.algo.tdidt.tune.CDTuneSizeConstrPruning
- m_NbExamples - Variable in class si.ijs.kt.clus.error.common.ClusErrorList
- m_NbExamples - Variable in class si.ijs.kt.clus.statistic.ClusStatistic
- m_NbFalseNegatives - Variable in class si.ijs.kt.clus.error.mlc.MacroFOne
- m_NbFalseNegatives - Variable in class si.ijs.kt.clus.error.mlc.MacroRecall
- m_NbFalseNegatives - Variable in class si.ijs.kt.clus.error.mlc.MicroFOne
- m_NbFalseNegatives - Variable in class si.ijs.kt.clus.error.mlc.MicroRecall
- m_NbFalseNegatives - Variable in class si.ijs.kt.clus.error.mlcForHmlc.MacroFOne
- m_NbFalseNegatives - Variable in class si.ijs.kt.clus.error.mlcForHmlc.MacroRecall
- m_NbFalseNegatives - Variable in class si.ijs.kt.clus.error.mlcForHmlc.MicroFOne
- m_NbFalseNegatives - Variable in class si.ijs.kt.clus.error.mlcForHmlc.MicroRecall
- m_NbFalsePositives - Variable in class si.ijs.kt.clus.error.mlc.MacroFOne
- m_NbFalsePositives - Variable in class si.ijs.kt.clus.error.mlc.MacroPrecision
- m_NbFalsePositives - Variable in class si.ijs.kt.clus.error.mlc.MicroFOne
- m_NbFalsePositives - Variable in class si.ijs.kt.clus.error.mlc.MicroPrecision
- m_NbFalsePositives - Variable in class si.ijs.kt.clus.error.mlcForHmlc.MacroFOne
- m_NbFalsePositives - Variable in class si.ijs.kt.clus.error.mlcForHmlc.MacroPrecision
- m_NbFalsePositives - Variable in class si.ijs.kt.clus.error.mlcForHmlc.MicroFOne
- m_NbFalsePositives - Variable in class si.ijs.kt.clus.error.mlcForHmlc.MicroPrecision
- m_NbFolds - Variable in class si.ijs.kt.clus.ext.optxval.OptXValInduce
- m_NbFolds - Variable in class si.ijs.kt.clus.selection.XValMainSelection
- m_NbFoldTests - Variable in class si.ijs.kt.clus.ext.optxval.OptXValBinTree
- m_NbHMTRAttributes - Variable in class si.ijs.kt.clus.data.ClusSchema
- m_NbInts - Variable in class si.ijs.kt.clus.data.ClusSchema
- m_NbKnown - Variable in class si.ijs.kt.clus.error.Accuracy
- m_NbKnown - Variable in class si.ijs.kt.clus.error.mlc.AveragePrecision
- m_NbKnown - Variable in class si.ijs.kt.clus.error.mlc.Coverage
- m_NbKnown - Variable in class si.ijs.kt.clus.error.mlc.HammingLoss
- m_NbKnown - Variable in class si.ijs.kt.clus.error.mlc.MLAccuracy
- m_NbKnown - Variable in class si.ijs.kt.clus.error.mlc.MLFOneMeasure
- m_NbKnown - Variable in class si.ijs.kt.clus.error.mlc.MLPrecision
- m_NbKnown - Variable in class si.ijs.kt.clus.error.mlc.MLRecall
- m_NbKnown - Variable in class si.ijs.kt.clus.error.mlc.OneError
- m_NbKnown - Variable in class si.ijs.kt.clus.error.mlc.RankingLoss
- m_NbKnown - Variable in class si.ijs.kt.clus.error.mlc.SubsetAccuracy
- m_NbKnown - Variable in class si.ijs.kt.clus.error.mlcForHmlc.Coverage
- m_NbLabeledEx - Variable in class si.ijs.kt.clus.error.PearsonCorrelation
- m_NbMainArgs - Variable in class si.ijs.kt.clus.util.jeans.util.cmdline.CMDLineArgs
- m_NbMissing - Variable in class si.ijs.kt.clus.data.type.ClusAttrType
- m_NbModels - Variable in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageNodeWiseModels
- m_NbModels - Variable in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageSingleClass
- m_NbModels - Variable in class si.ijs.kt.clus.model.ClusModelInfo
- m_NbNeg - Variable in class si.ijs.kt.clus.data.type.primitive.NumericAttrType.MySerializable
- m_NbNeg - Variable in class si.ijs.kt.clus.error.BinaryPredictionList
-
The number of negative examples seen
- m_NbNominal - Variable in class si.ijs.kt.clus.data.cols.ColTarget
- m_NbNumeric - Variable in class si.ijs.kt.clus.data.cols.ColTarget
- m_NbObjects - Variable in class si.ijs.kt.clus.data.ClusSchema
- m_nbOfNonZeroRules - Variable in class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
-
Number of rules with nonzero weights.
- m_NbPos - Variable in class si.ijs.kt.clus.error.BinaryPredictionList
-
The number of positive examples seen
- m_NbPosActual - Variable in class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy
- m_NbPosPredictions - Variable in class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy
- m_NbRelevantLabels - Variable in class si.ijs.kt.clus.error.mlc.Coverage
- m_NbRelevantLabels - Variable in class si.ijs.kt.clus.error.mlcForHmlc.Coverage
- m_NbRows - Variable in class si.ijs.kt.clus.data.ClusData
- m_NbRows - Variable in class si.ijs.kt.clus.data.cols.attribute.NominalAttribute
- m_NbRows - Variable in class si.ijs.kt.clus.data.cols.attribute.NumericAttribute
- m_NbRows - Variable in class si.ijs.kt.clus.data.cols.ColTarget
- m_NbRows - Variable in class si.ijs.kt.clus.data.rows.RowDataSortHelper
- m_NbRows - Variable in class si.ijs.kt.clus.selection.ClusSelection
- m_NbRows - Variable in class si.ijs.kt.clus.selection.XValMainSelection
- m_NbSel - Variable in class si.ijs.kt.clus.selection.BagSelection
- m_NbSel - Variable in class si.ijs.kt.clus.selection.XValSelection
- m_NbSelected - Variable in class si.ijs.kt.clus.selection.BitMapSelection
- m_NbSelected - Variable in class si.ijs.kt.clus.selection.OverSample
- m_NbSelected - Variable in class si.ijs.kt.clus.selection.RandomSelection
- m_nbSequences - Variable in class si.ijs.kt.clus.heuristic.EncodingCost
- m_NbTarget - Variable in class si.ijs.kt.clus.error.common.multiscore.MultiScoreStat
- m_NbTarget - Variable in class si.ijs.kt.clus.statistic.ClassificationStat
- m_NbTarget - Variable in class si.ijs.kt.clus.statistic.GeneticDistanceStat
- m_NbTarget - Variable in class si.ijs.kt.clus.statistic.GISStat
-
Deprecated.
- m_NbTargetAttributes - Variable in class si.ijs.kt.clus.model.processor.ClusEnsemblePredictionWriter
- m_NbTargets - Variable in class si.ijs.kt.clus.ext.semisupervised.confidence.PredictionConfidence
- m_NbTests - Variable in class si.ijs.kt.clus.ext.optxval.OptXValBinTree
- m_NbTotal - Variable in class si.ijs.kt.clus.data.type.primitive.NumericAttrType.MySerializable
- m_NbTotal - Variable in class si.ijs.kt.clus.error.common.ClusErrorList
- m_NbTrain - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristic
- m_NbTrain - Variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- m_NbTruePositives - Variable in class si.ijs.kt.clus.error.mlc.MacroFOne
- m_NbTruePositives - Variable in class si.ijs.kt.clus.error.mlc.MacroPrecision
- m_NbTruePositives - Variable in class si.ijs.kt.clus.error.mlc.MacroRecall
- m_NbTruePositives - Variable in class si.ijs.kt.clus.error.mlc.MicroFOne
- m_NbTruePositives - Variable in class si.ijs.kt.clus.error.mlc.MicroPrecision
- m_NbTruePositives - Variable in class si.ijs.kt.clus.error.mlc.MicroRecall
- m_NbTruePositives - Variable in class si.ijs.kt.clus.error.mlcForHmlc.MacroFOne
- m_NbTruePositives - Variable in class si.ijs.kt.clus.error.mlcForHmlc.MacroPrecision
- m_NbTruePositives - Variable in class si.ijs.kt.clus.error.mlcForHmlc.MacroRecall
- m_NbTruePositives - Variable in class si.ijs.kt.clus.error.mlcForHmlc.MicroFOne
- m_NbTruePositives - Variable in class si.ijs.kt.clus.error.mlcForHmlc.MicroPrecision
- m_NbTruePositives - Variable in class si.ijs.kt.clus.error.mlcForHmlc.MicroRecall
- m_NbTuples - Variable in class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicDispersion
- m_NbUpdates - Variable in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptimization
-
The number of updates of predictions.
- m_NbUpdatesLock - Variable in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptimization
- m_NbValues - Variable in class si.ijs.kt.clus.error.common.multiscore.MultiScore
- m_NbVt - Variable in class si.ijs.kt.clus.data.ClusSchema
- m_NbWrong - Variable in class si.ijs.kt.clus.error.mlc.HammingLoss
- m_NbWrong - Variable in class si.ijs.kt.clus.error.mlc.OneError
- m_NbZero - Variable in class si.ijs.kt.clus.data.type.primitive.NumericAttrType.MySerializable
- m_Neg - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristic
- m_Neg - Variable in class si.ijs.kt.clus.heuristic.GISHeuristic
- m_Neg - Variable in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristicCompatibility
- m_Neg - Variable in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristicInclMissingValues
- m_NegFolds - Variable in class si.ijs.kt.clus.ext.optxval.SoftNumericTest
- m_NegStat - Variable in class si.ijs.kt.clus.heuristic.ClusHeuristicImpl
- m_NegStat - Variable in class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicSSD
- m_NegStat - Variable in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristic
- m_Next - Variable in class si.ijs.kt.clus.util.jeans.util.list.MyList
- m_Node - Variable in class si.ijs.kt.clus.data.cols.ColTarget
- m_NodeErr - Variable in class si.ijs.kt.clus.pruning.BottomUpPruningVSB
- m_Nodes - Variable in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- m_Nodes - Variable in class si.ijs.kt.clus.ext.optxval.OptXValNode
- m_Nominal - Variable in class si.ijs.kt.clus.data.cols.ColTarget
- m_NominalAttrUse - Variable in class si.ijs.kt.clus.data.ClusSchema
- m_NominalSubsetTests - Variable in class si.ijs.kt.clus.main.settings.section.SettingsModel
- m_NonnormalisedLoss - Variable in class si.ijs.kt.clus.error.mlc.RankingLoss
- m_NonnormalisedPrec - Variable in class si.ijs.kt.clus.error.mlc.AveragePrecision
- m_NonSparse - Variable in class si.ijs.kt.clus.data.ClusSchema
- m_Normalization - Variable in class si.ijs.kt.clus.ext.semisupervised.confidence.PredictionConfidence
- m_NormalizationWeights - Variable in class si.ijs.kt.clus.data.attweights.ClusNormalizedAttributeWeights
- m_NormalizationWeights - Variable in class si.ijs.kt.clus.distance.primitive.SearchDistance
- m_NormalizationWeights - Variable in class si.ijs.kt.clus.main.ClusStatManager
-
Variance used for normalization of attributes during error computation etc.
- m_NoTrivialClasses - Variable in class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy
- m_Numeric - Variable in class si.ijs.kt.clus.data.cols.ColTarget
- m_Numeric - Variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCStatistic
- m_NumericAttrUse - Variable in class si.ijs.kt.clus.data.ClusSchema
- m_NumericSplitTotStatSVarS - Variable in class si.ijs.kt.clus.heuristic.ClusHeuristic
-
Used for more efficient split quality estimation.
- m_Obj1 - Variable in class si.ijs.kt.clus.util.jeans.util.compound.DuoObject
- m_Obj2 - Variable in class si.ijs.kt.clus.util.jeans.util.compound.DuoObject
- m_Object - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamTreeElem
- m_Object - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamTreeElemOld
- m_Object - Variable in class si.ijs.kt.clus.util.jeans.util.compound.DoubleObject
- m_Object - Variable in class si.ijs.kt.clus.util.jeans.util.compound.IntObject
- m_Objects - Variable in class si.ijs.kt.clus.data.rows.DataTuple
-
Structured attributes of the tuple.
- m_OOBCounts - Variable in class si.ijs.kt.clus.selection.OOBSelection
- m_OOBNbSel - Variable in class si.ijs.kt.clus.selection.OOBSelection
- m_OppositeAlternatives - Variable in class si.ijs.kt.clus.algo.tdidt.ClusNode
- m_Optimal - Variable in class si.ijs.kt.clus.algo.tdidt.tune.CDTuneSizeConstrPruning
- m_OptimizeMeasure - Variable in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- m_optionDecayFactor - Variable in class si.ijs.kt.clus.main.settings.section.SettingsOptionTree
- m_optionEpsilon - Variable in class si.ijs.kt.clus.main.settings.section.SettingsOptionTree
- m_optionFactor - Variable in class si.ijs.kt.clus.main.settings.section.SettingsOptionTree
-
Section: Option tree
- m_optionMaxDepthOfOptionNode - Variable in class si.ijs.kt.clus.main.settings.section.SettingsOptionTree
- m_optionMaxNumberOfOptionsPerNode - Variable in class si.ijs.kt.clus.main.settings.section.SettingsOptionTree
- m_OptRuleWeightBinarization - Variable in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
If this flag is set, weights higher than m_OptRuleWeightThreshold will get value 1, others will be set to 0
- m_OptWeight - Variable in class si.ijs.kt.clus.algo.rules.ClusRule
-
Optimized weight of the rule
- m_optWeightBestFitness - Variable in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
If weights are optimized, what was the fitness of best T value that was used for this rule set
- m_optWeightBestTValue - Variable in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
If weights are optimized, what was the best T value that was used for this rule set
- m_Orig - Variable in class si.ijs.kt.clus.main.ClusRun
- m_OrigData - Variable in class si.ijs.kt.clus.ext.ilevelc.COPKMeans
- m_OrigSize - Variable in class si.ijs.kt.clus.algo.tdidt.tune.CDTuneSizeConstrPruning
- m_OrigTree - Variable in class si.ijs.kt.clus.pruning.PruneTree
- m_Others - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamTreeElem
- m_Others - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamTreeElemOld
- m_OthersList - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamTreeElemOld
- m_OutFoldData - Variable in class si.ijs.kt.clus.main.settings.section.SettingsOutput
-
Print out data to .arff files for each fold, m_WritePredictions has to be given value to this to work
- m_OutFoldErr - Variable in class si.ijs.kt.clus.main.settings.section.SettingsOutput
-
Section: Output *
- m_OutFoldModels - Variable in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- m_Output - Variable in class si.ijs.kt.clus.pruning.SequencePruningVSB
- m_OutputClowdFlowsJSON - Variable in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- m_OutputDatabaseQueries - Variable in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- m_OutputJSONModel - Variable in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- m_OutputPythonModel - Variable in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- m_OutputROSSubspaces - Variable in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- m_OutSchema - Variable in class si.ijs.kt.clus.model.processor.PredictionWriter
- m_OutTestErr - Variable in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- m_OutTrainErr - Variable in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- m_OutValidErr - Variable in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- m_P - Variable in class si.ijs.kt.clus.statistic.WHTDStatistic
- m_P - Variable in class si.ijs.kt.clus.util.jeans.util.DisjointSetForest
- m_PairwiseDistStat - Variable in class si.ijs.kt.clus.statistic.HierSumPairwiseDistancesStat
- m_Parent - Variable in class si.ijs.kt.clus.error.common.ClusError
- m_Parent - Variable in class si.ijs.kt.clus.ext.optiontree.MyNode
- m_Parent - Variable in class si.ijs.kt.clus.util.jeans.tree.MyNode
- m_ParentIndex - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- m_Parents - Variable in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- m_ParentStat - Variable in class si.ijs.kt.clus.statistic.ClassificationStat
- m_ParentStat - Variable in class si.ijs.kt.clus.statistic.RegressionStat
- m_ParentStat - Variable in class si.ijs.kt.clus.statistic.RegressionStatBinaryNomiss
- m_Path - Variable in class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- m_perTargetScores - Variable in class si.ijs.kt.clus.ext.semisupervised.confidence.PredictionConfidence
- m_Points - Variable in class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI.ILevelCComponent
- m_Points - Variable in class si.ijs.kt.clus.ext.ilevelc.DerivedConstraintsComputer
- m_PooledAUPRC - Variable in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- m_PooledAUPRC - Variable in class si.ijs.kt.clus.error.mlc.MLROCAndPRCurve
- m_PooledAUPRC - Variable in class si.ijs.kt.clus.error.mlcForHmlc.MLROCAndPRCurve
- m_Pos - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristic
- m_Pos - Variable in class si.ijs.kt.clus.heuristic.GISHeuristic
- m_Pos - Variable in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristicCompatibility
- m_Pos - Variable in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristicInclMissingValues
- m_PosFolds - Variable in class si.ijs.kt.clus.ext.optxval.SoftNumericTest
- m_PosFreq - Variable in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- m_PosFreq - Variable in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- m_PosFreq - Variable in class si.ijs.kt.clus.model.test.SubsetTest
- m_Position - Variable in class si.ijs.kt.clus.main.settings.SettingsBase
- m_PosStat - Variable in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- m_PosStat - Variable in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- m_PosStat - Variable in class si.ijs.kt.clus.ext.optxval.OptXValInduce
- m_PR - Variable in class si.ijs.kt.clus.error.ROCAndPRCurve
- m_PRCurves - Variable in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- m_PrecisionAtRecall - Variable in class si.ijs.kt.clus.error.ROCAndPRCurve
- m_PrecisionSum - Variable in class si.ijs.kt.clus.error.mlc.MLPrecision
- m_Pred - Variable in class si.ijs.kt.clus.error.common.multiscore.MultiScoreWrapper
- m_predCovWithTrue - Variable in class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
-
Covariances between predictors and true values.
- m_Predicted - Variable in class si.ijs.kt.clus.error.hmlc.HierLevelAccuracy
- m_prediction - Variable in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem.RulePred
- m_Predictions - Variable in class si.ijs.kt.clus.addon.sit.mtLearner.ResultsCache
- m_Predictions - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- m_PredictionTime - Variable in class si.ijs.kt.clus.main.ClusModelInfoList
- m_PredictionTimeNbExamples - Variable in class si.ijs.kt.clus.main.ClusModelInfoList
- m_PredLevelErr - Variable in class si.ijs.kt.clus.error.hmlc.HierLevelAccuracy
- m_PredProb - Variable in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageNodeWiseModels
- m_PredProb - Variable in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageSingleClass
- m_PredProb - Variable in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageTreeModel
- m_Preprocs - Variable in class si.ijs.kt.clus.data.rows.DataPreprocs
- m_PrepTime - Variable in class si.ijs.kt.clus.main.ClusModelInfoList
- m_Preset - Static variable in class si.ijs.kt.clus.util.ClusRandom
- m_Prev - Variable in class si.ijs.kt.clus.util.jeans.util.list.MyListIter
- m_PrevCl - Variable in class si.ijs.kt.clus.ext.optxval.OptXValInduce
- m_PrevFP - Variable in class si.ijs.kt.clus.error.ROCAndPRCurve
- m_PrevTime - Static variable in class si.ijs.kt.clus.main.ClusStat
- m_PrevTP - Variable in class si.ijs.kt.clus.error.ROCAndPRCurve
- m_PrevVl - Variable in class si.ijs.kt.clus.ext.optxval.OptXValInduce
- m_PrintAllComps - Variable in class si.ijs.kt.clus.error.MSError
- m_PrintAllComps - Variable in class si.ijs.kt.clus.error.MSNominalError
- m_PrintAllComps - Variable in class si.ijs.kt.clus.error.sets.Accuracy
- m_PrintAllComps - Variable in class si.ijs.kt.clus.error.sets.F1Score
- m_PrintAllComps - Variable in class si.ijs.kt.clus.error.sets.HammingLossError
- m_PrintAllComps - Variable in class si.ijs.kt.clus.error.sets.Precision
- m_PrintAllComps - Variable in class si.ijs.kt.clus.error.sets.Recall
- m_PrintAllComps - Variable in class si.ijs.kt.clus.error.sets.SubsetAccuracy
- m_printGDDebugInformation - Static variable in class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
-
Do we print debugging information.
- m_PrintModelAndExamples - Variable in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- m_Prior - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristicMEstimate
- m_Procs - Variable in class si.ijs.kt.clus.data.rows.TupleIterator
- m_Prune - Variable in class si.ijs.kt.clus.main.ClusRun
- m_PruneSel - Variable in class si.ijs.kt.clus.main.ClusRun
- m_PruneTime - Variable in class si.ijs.kt.clus.main.ClusModelInfoList
- m_RandIndex - Variable in class si.ijs.kt.clus.ext.ilevelc.COPKMeansModel
- m_RandIndex - Variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCRandIndex
- m_Random - Static variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamTreeElem
- m_Random - Variable in class si.ijs.kt.clus.selection.XValRandomSelection
- m_Random - Static variable in class si.ijs.kt.clus.statistic.SumPairwiseDistancesStat
- m_Random - Static variable in class si.ijs.kt.clus.util.ClusRandom
- m_Rank - Variable in class si.ijs.kt.clus.util.jeans.util.DisjointSetForest
- m_RankSum - Variable in class si.ijs.kt.clus.error.mlc.Coverage
- m_RankSum - Variable in class si.ijs.kt.clus.error.mlcForHmlc.Coverage
- m_Reader - Variable in class si.ijs.kt.clus.data.io.ARFFFile
- m_Reader - Variable in class si.ijs.kt.clus.data.rows.FileTupleIterator
- m_Real - Variable in class si.ijs.kt.clus.error.common.multiscore.MultiScoreWrapper
- m_RecallSum - Variable in class si.ijs.kt.clus.error.mlc.MLRecall
- m_RecallValues - Variable in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- m_RecallValues - Variable in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- m_Recursive - Variable in class si.ijs.kt.clus.main.settings.section.SettingsSIT
- m_ReduceMemoryNominal - Variable in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
- m_Refined - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- m_Refinement - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- m_RegStat - Variable in class si.ijs.kt.clus.statistic.CombStat
- m_Relation - Variable in class si.ijs.kt.clus.data.ClusSchema
- m_Relative - Variable in class si.ijs.kt.clus.algo.tdidt.tune.CDTuneSizeConstrPruning
- m_RelativeScale - Variable in class si.ijs.kt.clus.algo.tdidt.tune.CDTuneSizeConstrPruning
- m_RelErrAcc - Variable in class si.ijs.kt.clus.algo.tdidt.tune.CDTuneSizeConstrPruning
- m_RelevantLabelIndex - Static variable in class si.ijs.kt.clus.distance.primitive.relief.MultiLabelDistance
- m_RepresentativeMean - Variable in class si.ijs.kt.clus.ext.structuredTypes.SetStatistic
- m_RepresentativeMean - Variable in class si.ijs.kt.clus.ext.structuredTypes.TupleStatistic
- m_RepresentativeMean - Variable in class si.ijs.kt.clus.ext.timeseries.TimeSeriesStat
- m_RepresentativeMedoid - Variable in class si.ijs.kt.clus.ext.structuredTypes.SetStatistic
- m_RepresentativeMedoid - Variable in class si.ijs.kt.clus.ext.structuredTypes.TupleStatistic
- m_RepresentativeMedoid - Variable in class si.ijs.kt.clus.ext.timeseries.TimeSeriesStat
- m_RightSubTree - Variable in class si.ijs.kt.clus.algo.kNN.methods.kdTree.KDNode
- m_RightSubTree - Variable in class si.ijs.kt.clus.algo.kNN.methods.vpTree.VPNode
- m_ROC - Variable in class si.ijs.kt.clus.error.ROCAndPRCurve
- m_ROCAndPRCurves - Variable in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- m_ROCAndPRCurves - Variable in class si.ijs.kt.clus.error.mlc.MLROCAndPRCurve
- m_ROCAndPRCurves - Variable in class si.ijs.kt.clus.error.mlcForHmlc.MLROCAndPRCurve
- m_ROCCurves - Variable in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- m_Root - Variable in class si.ijs.kt.clus.algo.tdidt.DepthFirstInduce
- m_Root - Variable in class si.ijs.kt.clus.error.hmlc.HierRMSError
- m_Root - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- m_Root - Variable in class si.ijs.kt.clus.ext.bestfirst.BestFirstInduce
- m_Root - Variable in class si.ijs.kt.clus.ext.featureRanking.relief.ReliefInduce
- m_Root - Variable in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- m_Root - Variable in class si.ijs.kt.clus.ext.optiontree.DepthFirstInduceWithOptions
- m_RootAvgAllDistances - Variable in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- m_RootData - Variable in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristic
- m_RootDelta - Variable in class si.ijs.kt.clus.distance.hierarchies.HierWeightSPath
- m_RootSumAllDistances - Variable in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- m_RootSumEntropyWithin - Variable in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- m_ROSSubspaceSizes - Variable in class si.ijs.kt.clus.algo.rules.tune.FIREROSTune
- m_RuleInduceOnly - Variable in class si.ijs.kt.clus.main.ClusStatManager
- m_rulePredictions - Variable in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem.OptimizationParameter
- m_Rules - Variable in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- m_ruleSet - Variable in class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
- m_Run - Variable in class si.ijs.kt.clus.algo.kNN.methods.kdTree.KDTree
- m_Run - Variable in class si.ijs.kt.clus.algo.kNN.methods.SearchAlgorithm
- m_Runs - Variable in class si.ijs.kt.clus.main.ClusSummary
- m_SampleSize - Variable in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- m_Sampling - Variable in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- m_Save - Variable in class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI
- m_Scale - Variable in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
- m_Scale - Variable in class si.ijs.kt.clus.ext.ilevelc.COPKMeans
- m_Scale - Variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- m_Schema - Variable in class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI
- m_Schema - Variable in class si.ijs.kt.clus.addon.sit.mtLearner.ClusLearner
- m_Schema - Variable in class si.ijs.kt.clus.addon.sit.Sit
- m_Schema - Variable in class si.ijs.kt.clus.algo.ClusInductionAlgorithm
- m_Schema - Variable in class si.ijs.kt.clus.algo.tdidt.processor.NodeIDWriter
- m_Schema - Variable in class si.ijs.kt.clus.algo.tdidt.tune.CDTuneSizeConstrPruning
- m_Schema - Variable in class si.ijs.kt.clus.data.rows.DataTuple
- m_Schema - Variable in class si.ijs.kt.clus.data.rows.RowData
- m_Schema - Variable in class si.ijs.kt.clus.data.type.ClusAttrType
- m_Schema - Variable in class si.ijs.kt.clus.main.ClusOutput
- m_Schema - Variable in class si.ijs.kt.clus.main.ClusStatManager
- m_Score - Variable in class si.ijs.kt.clus.error.common.multiscore.MultiScoreStat
- m_Score - Variable in class si.ijs.kt.clus.model.ClusModelInfo
- m_Scratch - Variable in class si.ijs.kt.clus.error.hmlc.HierRMSError
- m_Scratch - Variable in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchyPreproc
- m_Scratch - Variable in class si.ijs.kt.clus.ext.optxval.OptXValInduce
- m_Search - Variable in class si.ijs.kt.clus.addon.sit.Sit
- m_Search - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamInduce
- m_Search - Variable in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveInduce
- m_Search - Variable in class si.ijs.kt.clus.main.settings.section.SettingsSIT
- m_SearchDistance - Variable in class si.ijs.kt.clus.algo.kNN.methods.SearchAlgorithm
- m_SearchSelection - Variable in class si.ijs.kt.clus.addon.sit.Sit
- m_Section - Variable in class si.ijs.kt.clus.main.settings.SettingsBase
- m_Sel - Variable in class si.ijs.kt.clus.selection.XValSelection
- m_Selection - Variable in class si.ijs.kt.clus.selection.BitMapSelection
- m_Selection - Variable in class si.ijs.kt.clus.selection.RandomSelection
- m_Selection - Variable in class si.ijs.kt.clus.selection.XValRandomSelection
- m_Selector - Variable in class si.ijs.kt.clus.ext.optxval.OptXValInduce
- m_SeqPruner - Variable in class si.ijs.kt.clus.pruning.SequencePruningVSB
- m_Sequences - Variable in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- m_SetDataTimer - Variable in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- m_SetsData - Variable in class si.ijs.kt.clus.main.settings.section.SettingsExperimental
- m_Sett - Variable in class si.ijs.kt.clus.addon.sit.ErrorOutput
- m_Sett - Variable in class si.ijs.kt.clus.addon.sit.mtLearner.MTLearnerImpl
- m_Sett - Variable in class si.ijs.kt.clus.addon.sit.searchAlgorithm.SearchAlgorithmImpl
- m_Sett - Variable in class si.ijs.kt.clus.addon.sit.Sit
- m_Sett - Variable in class si.ijs.kt.clus.algo.tdidt.processor.NodeExampleCollector
- m_Sett - Variable in class si.ijs.kt.clus.algo.tdidt.processor.NodeIDWriter
- m_Sett - Variable in class si.ijs.kt.clus.data.rows.DiskTupleIterator
- m_Sett - Variable in class si.ijs.kt.clus.main.ClusOutput
- m_Sett - Variable in class si.ijs.kt.clus.model.processor.ClusEnsemblePredictionWriter
- m_Sett - Variable in class si.ijs.kt.clus.model.processor.PredictionWriter
- m_Sett2 - Variable in class si.ijs.kt.clus.main.ClusOutput
- m_Settings - Variable in class si.ijs.kt.clus.data.ClusSchema
- m_Settings - Variable in class si.ijs.kt.clus.ext.ensemble.ClusForest
- m_Settings - Variable in class si.ijs.kt.clus.main.ClusStatManager
- m_Settings - Variable in class si.ijs.kt.clus.statistic.ClusStatistic
- m_ShouldAttach - Variable in class si.ijs.kt.clus.data.rows.TupleIterator
- m_ShouldPruneInvalid - Variable in class si.ijs.kt.clus.model.ClusModelInfo
- m_ShouldSave - Variable in class si.ijs.kt.clus.model.ClusModelInfo
- m_ShouldWritePredictions - Variable in class si.ijs.kt.clus.model.ClusModelInfo
- m_ShowBrFreq - Variable in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- m_ShowForest - Variable in class si.ijs.kt.clus.main.settings.section.SettingsExperimental
- m_ShowInfo - Variable in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- m_ShowModels - Variable in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- m_ShowThresholds - Variable in class si.ijs.kt.clus.main.settings.section.SettingsMLC
- m_ShowUnknown - Variable in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- m_SigLevel - Variable in class si.ijs.kt.clus.statistic.WHTDStatistic
- m_SingleDouble - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- m_SingleInt - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector
- m_SingleNominal - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- m_SingleNominal - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector
- m_Size - Variable in class si.ijs.kt.clus.util.jeans.math.matrix.MSymMatrix
- m_Size - Variable in class si.ijs.kt.clus.util.jeans.util.DisjointSetForest
- m_SizePenalty - Variable in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- m_Sorted - Variable in class si.ijs.kt.clus.model.test.NominalTest
- m_SortHelper - Variable in class si.ijs.kt.clus.algo.split.FindBestTest
- m_SortHelper - Variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- m_SortHelper - Variable in class si.ijs.kt.clus.ext.optiontree.FindBestTests
- m_Sparse - Variable in class si.ijs.kt.clus.data.type.primitive.NumericAttrType
- m_Split - Variable in class si.ijs.kt.clus.algo.split.FindBestTest
- m_Split - Variable in class si.ijs.kt.clus.data.cols.attribute.ClusAttribute
- m_Split - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamInduce
- m_Split - Variable in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveInduce
- m_Split - Variable in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- m_Split - Variable in class si.ijs.kt.clus.ext.optxval.OptXValInduce
- m_SplitAttr - Variable in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- m_SplitAttr - Variable in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- m_SSPDMtrx - Variable in class si.ijs.kt.clus.main.ClusStatManager
- m_Stab - Variable in class si.ijs.kt.clus.ext.hierarchical.HierIO
- m_Stack - Variable in class si.ijs.kt.clus.algo.kNN.methods.kdTree.KDTree
- m_StartItemCpt - Variable in class si.ijs.kt.clus.main.settings.section.SettingsExhaustiveSearch
- m_StartTreeCpt - Variable in class si.ijs.kt.clus.main.settings.section.SettingsExhaustiveSearch
- m_Stat - Variable in class si.ijs.kt.clus.ext.timeseries.TimeSeriesSignificantChangeTesterXVAL
- m_StatisticAttrUse - Variable in class si.ijs.kt.clus.main.ClusStatManager
- m_StatManager - Variable in class si.ijs.kt.clus.algo.ClusInductionAlgorithm
- m_StatManager - Variable in class si.ijs.kt.clus.algo.rules.ClusRule
- m_StatManager - Variable in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- m_StatManager - Variable in class si.ijs.kt.clus.algo.split.FindBestTest
- m_StatManager - Variable in class si.ijs.kt.clus.ext.ensemble.ClusForest
- m_StatManager - Variable in class si.ijs.kt.clus.ext.optiontree.FindBestTests
- m_StatManager - Variable in class si.ijs.kt.clus.ext.optiontree.MyNode
- m_StatManager - Variable in class si.ijs.kt.clus.ext.semisupervised.confidence.PredictionConfidence
- m_StatManager - Variable in class si.ijs.kt.clus.heuristic.hierarchical.ClusRuleHeuristicHierarchical
- m_StatManager - Variable in class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicDispersion
- m_StatManager - Variable in class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicSSD
- m_StatManager - Variable in class si.ijs.kt.clus.statistic.CombStat
- m_StatMgr - Variable in class si.ijs.kt.clus.main.ClusSummary
- m_StatTemplate - Variable in class si.ijs.kt.clus.algo.kNN.KnnModel
- m_Status - Variable in class si.ijs.kt.clus.data.type.ClusAttrType
- m_StDev - Variable in class si.ijs.kt.clus.model.processor.ClusEnsemblePredictionWriter
- m_stepSize - Variable in class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
-
Step size for gradient descent
- m_StopCount - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSizeConstraints
- m_StopCrit - Variable in class si.ijs.kt.clus.heuristic.ClusHeuristic
- m_StrWrt - Variable in class si.ijs.kt.clus.main.ClusOutput
- m_Subset - Variable in class si.ijs.kt.clus.algo.rules.ClusCalcRuleErrorProc
- m_Subset - Variable in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- m_SubTerms - Variable in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- m_Suffix - Variable in class si.ijs.kt.clus.main.settings.section.SettingsGeneric
- m_Sum - Variable in class si.ijs.kt.clus.util.jeans.math.SingleStat
- m_SumAi - Variable in class si.ijs.kt.clus.error.PearsonCorrelation
- m_SumAllDistances - Variable in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- m_SumDistWithCompl - Variable in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- m_SumEntropyWithin - Variable in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- m_SumErr - Variable in class si.ijs.kt.clus.error.AvgDistancesError
- m_SumErr - Variable in class si.ijs.kt.clus.error.MSError
- m_SumErr - Variable in class si.ijs.kt.clus.error.MSNominalError
- m_SumErr - Variable in class si.ijs.kt.clus.error.sets.Accuracy
- m_SumErr - Variable in class si.ijs.kt.clus.error.sets.F1Score
- m_SumErr - Variable in class si.ijs.kt.clus.error.sets.HammingLossError
- m_SumErr - Variable in class si.ijs.kt.clus.error.sets.Precision
- m_SumErr - Variable in class si.ijs.kt.clus.error.sets.Recall
- m_SumErr - Variable in class si.ijs.kt.clus.error.sets.SubsetAccuracy
- m_Summary - Variable in class si.ijs.kt.clus.main.ClusRun
- m_SumPi - Variable in class si.ijs.kt.clus.error.PearsonCorrelation
- m_SumPiAi - Variable in class si.ijs.kt.clus.error.PearsonCorrelation
- m_SumPredictions - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimClassStat
- m_SumPredictions - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimRegrStat
- m_SumRelErr - Variable in class si.ijs.kt.clus.error.RelativeError
- m_SumSAi - Variable in class si.ijs.kt.clus.error.PearsonCorrelation
- m_SumSPi - Variable in class si.ijs.kt.clus.error.PearsonCorrelation
- m_SumSQ - Variable in class si.ijs.kt.clus.util.jeans.math.SingleStat
- m_SumSqErr - Variable in class si.ijs.kt.clus.error.MSError
- m_SumSqErr - Variable in class si.ijs.kt.clus.error.MSNominalError
- m_SumSqErr - Variable in class si.ijs.kt.clus.error.sets.Accuracy
- m_SumSqErr - Variable in class si.ijs.kt.clus.error.sets.F1Score
- m_SumSqErr - Variable in class si.ijs.kt.clus.error.sets.HammingLossError
- m_SumSqErr - Variable in class si.ijs.kt.clus.error.sets.Precision
- m_SumSqErr - Variable in class si.ijs.kt.clus.error.sets.Recall
- m_SumSqErr - Variable in class si.ijs.kt.clus.error.sets.SubsetAccuracy
- m_SumSqPredictions - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimClassStat
- m_SumSqPredictions - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimRegrStat
- m_SumSquaredTrueValues - Variable in class si.ijs.kt.clus.error.MSError
- m_SumSqValues - Variable in class si.ijs.kt.clus.statistic.GISStat
-
Deprecated.
- m_SumTrueValues - Variable in class si.ijs.kt.clus.error.MSError
- m_SumValues - Variable in class si.ijs.kt.clus.statistic.GISStat
-
Deprecated.
- m_SumValues - Variable in class si.ijs.kt.clus.statistic.RegressionStat
- m_SumValues - Variable in class si.ijs.kt.clus.statistic.RegressionStatBinaryNomiss
- m_SumValuesSpatial - Variable in class si.ijs.kt.clus.statistic.ClassificationStat
- m_SumWeight - Variable in class si.ijs.kt.clus.error.WAHNDError
- m_SumWeight - Variable in class si.ijs.kt.clus.statistic.ClusStatistic
-
The weighted sum of all examples
- m_SumWeightLabeled - Variable in class si.ijs.kt.clus.statistic.ClusStatistic
- m_SumWeights - Variable in class si.ijs.kt.clus.statistic.ClusStatistic
- m_SVarS - Variable in class si.ijs.kt.clus.statistic.SumPairwiseDistancesStat
- m_T1 - Variable in class si.ijs.kt.clus.ext.ilevelc.ILevelConstraint
- m_T2 - Variable in class si.ijs.kt.clus.ext.ilevelc.ILevelConstraint
- m_Table - Variable in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageSingleClass
- m_Table - Variable in class si.ijs.kt.clus.addon.hmc.HMCNodeWiseModels.hmcnwmodels.HMCNodeWiseModels
- m_Table - Variable in class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrType
- m_Table - Variable in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchyIO
- m_Target - Variable in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageTreeModel
- m_Target - Variable in class si.ijs.kt.clus.data.ClusSchema
- m_Target - Variable in class si.ijs.kt.clus.data.cols.attribute.NominalTarget
- m_Target - Variable in class si.ijs.kt.clus.data.cols.attribute.NumericTarget
- m_Target - Variable in class si.ijs.kt.clus.data.cols.attribute.TimeSeriesTarget
- m_Target - Variable in class si.ijs.kt.clus.distance.complex.tuples.SSPDMatrix
- m_Target - Variable in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
-
Section: Attribute *
- m_Target - Variable in class si.ijs.kt.clus.model.processor.PredictionWriter
- m_TargetMode - Static variable in class si.ijs.kt.clus.main.ClusStatManager
- m_targets - Variable in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem.TrueValues
- m_TargetSets - Variable in class si.ijs.kt.clus.addon.sit.mtLearner.ResultsCache
- m_TargetStat - Variable in class si.ijs.kt.clus.algo.rules.ClusRule
-
Target statistics of examples covered by the rule.
- m_TargetStat - Variable in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
Default prediction if no other rule covers the instance.
- m_TargetStat - Variable in class si.ijs.kt.clus.algo.tdidt.ClusNode
- m_TargetStat - Variable in class si.ijs.kt.clus.ext.optiontree.MyNode
- m_TargetWeights - Variable in class si.ijs.kt.clus.algo.tdidt.tune.CDTuneSizeConstrPruning
- m_TargetWeights - Variable in class si.ijs.kt.clus.pruning.SizeConstraintPruning
- m_Test - Variable in class si.ijs.kt.clus.addon.sit.mtLearner.MTLearnerImpl
- m_Test - Variable in class si.ijs.kt.clus.algo.tdidt.ClusNode
- m_Test - Variable in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- m_Test - Variable in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- m_Test - Variable in class si.ijs.kt.clus.ext.optxval.OptXValSplit
- m_Test - Variable in class si.ijs.kt.clus.main.ClusRun
- m_TestData - Variable in class si.ijs.kt.clus.addon.sit.mtLearner.ResultsCache
- m_TestErr - Variable in class si.ijs.kt.clus.main.ClusSummary
- m_TestErr - Variable in class si.ijs.kt.clus.model.ClusModelInfo
- m_TestExtraStat - Variable in class si.ijs.kt.clus.ext.optxval.OptXValIndOV
-
Deprecated.
- m_TestModelProc - Variable in class si.ijs.kt.clus.model.ClusModelInfo
- m_TestPreds - Variable in class si.ijs.kt.clus.model.ClusModelInfo
- m_Tests - Variable in class si.ijs.kt.clus.algo.rules.ClusRule
- m_Tests - Variable in class si.ijs.kt.clus.ext.optiontree.FindBestTests
- m_TestSel - Variable in class si.ijs.kt.clus.main.ClusRun
- m_TestStat - Variable in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- m_TestStat - Variable in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- m_TestStat - Variable in class si.ijs.kt.clus.ext.optxval.OptXValInduce
- m_TestType - Variable in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- m_TestType - Variable in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- m_Threshold - Variable in class si.ijs.kt.clus.statistic.WHTDStatistic
- m_Thresholds - Variable in class si.ijs.kt.clus.error.common.multiscore.MultiScore
- m_Thresholds - Variable in class si.ijs.kt.clus.error.mlc.MLROCAndPRCurve
- m_Thresholds - Variable in class si.ijs.kt.clus.error.mlcForHmlc.MLROCAndPRCurve
- m_Thresholds - Variable in class si.ijs.kt.clus.error.ROCAndPRCurve
- m_Thresholds - Variable in class si.ijs.kt.clus.ext.hierarchical.HierClassTresholdPruner
- m_Thresholds - Variable in class si.ijs.kt.clus.statistic.ClassificationStat
- m_Time - Variable in class si.ijs.kt.clus.algo.tdidt.ClusNode
- m_Time - Variable in class si.ijs.kt.clus.ext.optxval.OptXValBinTree
- m_Time - Variable in class si.ijs.kt.clus.ext.optxval.OptXValNode
- m_TimeHeur - Static variable in class si.ijs.kt.clus.main.ClusStat
- m_TimeSeriesAttrUse - Variable in class si.ijs.kt.clus.data.ClusSchema
- m_TimeSort - Static variable in class si.ijs.kt.clus.main.ClusStat
- m_TimeSplit - Static variable in class si.ijs.kt.clus.main.ClusStat
- m_TimeStat - Static variable in class si.ijs.kt.clus.main.ClusStat
- m_TimeTest - Static variable in class si.ijs.kt.clus.main.ClusStat
- m_ToPrint - Variable in class si.ijs.kt.clus.model.processor.PredictionWriter
- m_Tot - Variable in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristicInclMissingValues
- m_Total - Variable in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- m_TotalRuns - Variable in class si.ijs.kt.clus.main.ClusSummary
- m_TotalStat - Variable in class si.ijs.kt.clus.algo.tdidt.tune.CDTuneSizeConstrPruning
- m_TotalWeight - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- m_TotalWeight - Variable in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- m_TotCorrStat - Variable in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- m_TotCorrStat - Variable in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- m_TotSize - Variable in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageNodeWiseModels
- m_TotSize - Variable in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageSingleClass
- m_TotSize - Variable in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageTreeModel
- m_TotStat - Variable in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- m_TotStat - Variable in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- m_TotStat - Variable in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- m_TP - Variable in class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy
- m_Train - Variable in class si.ijs.kt.clus.main.ClusRun
- m_TrainData - Variable in class si.ijs.kt.clus.heuristic.ClusHeuristic
- m_TrainDataHeurValue - Variable in class si.ijs.kt.clus.heuristic.ClusHeuristic
- m_TrainErr - Variable in class si.ijs.kt.clus.main.ClusSummary
- m_TrainErr - Variable in class si.ijs.kt.clus.model.ClusModelInfo
- m_TrainErrorScore - Variable in class si.ijs.kt.clus.algo.rules.ClusRule
-
Average error score of the rule
- m_Training - Variable in class si.ijs.kt.clus.statistic.ClassificationStat
- m_Training - Variable in class si.ijs.kt.clus.statistic.GISStat
-
Deprecated.
- m_Training - Variable in class si.ijs.kt.clus.statistic.RegressionStatBinaryNomiss
- m_TrainModelProc - Variable in class si.ijs.kt.clus.model.ClusModelInfo
- m_TrainPreds - Variable in class si.ijs.kt.clus.model.ClusModelInfo
- m_TrainSetStatAttrUse - Variable in class si.ijs.kt.clus.main.ClusStatManager
- m_TreeErr - Variable in class si.ijs.kt.clus.error.WAHNDError
- m_TreeErr - Variable in class si.ijs.kt.clus.pruning.BottomUpPruningVSB
- m_TreeMaxSize - Variable in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- m_TreeOffset - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristic
- m_Trees - Variable in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageTreeModel
- m_trueValues - Variable in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem.OptimizationParameter
- m_TryCreate - Static variable in class si.ijs.kt.clus.util.DebugFile
- m_TSAttr - Variable in class si.ijs.kt.clus.data.ClusSchema
- m_TTimeHeur - Static variable in class si.ijs.kt.clus.main.ClusStat
- m_TTimeSort - Static variable in class si.ijs.kt.clus.main.ClusStat
- m_TTimeSplit - Static variable in class si.ijs.kt.clus.main.ClusStat
- m_TTimeStat - Static variable in class si.ijs.kt.clus.main.ClusStat
- m_TTimeTest - Static variable in class si.ijs.kt.clus.main.ClusStat
- m_TTimeTotal - Static variable in class si.ijs.kt.clus.main.ClusStat
- m_TuneFolds - Variable in class si.ijs.kt.clus.main.settings.section.SettingsModel
- m_Tuple - Variable in class si.ijs.kt.clus.algo.kNN.methods.vpTree.VPItem
- m_Tuple - Variable in class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- m_TuplePositions - Variable in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptimization
-
The keys are (hashes of) DataTuples, which are mapped to the position of the tuple in the predictions
- m_Tuples - Variable in class si.ijs.kt.clus.algo.kNN.methods.kdTree.KDNode
- m_Type - Variable in class si.ijs.kt.clus.data.cols.attribute.NominalAttrBase
- m_Type - Variable in class si.ijs.kt.clus.data.cols.attribute.NumericAttrBase
- m_Type - Variable in class si.ijs.kt.clus.data.cols.attribute.TimeSeriesAttrBase
- m_Type - Variable in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- m_Type - Variable in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchyPreproc
- m_Type - Variable in class si.ijs.kt.clus.ext.ilevelc.ILevelConstraint
- m_Type - Variable in class si.ijs.kt.clus.ext.optxval.SoftNumericTest
- m_Type - Variable in class si.ijs.kt.clus.model.test.ClusRuleConstraintInduceTest
- m_Type - Variable in class si.ijs.kt.clus.model.test.NominalTest
- m_Type - Variable in class si.ijs.kt.clus.model.test.NumericTest
- m_Type - Variable in class si.ijs.kt.clus.model.test.SubsetTest
- m_Type - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominal
- m_Type - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- m_Type - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector
- m_U1 - Variable in class si.ijs.kt.clus.pruning.CartPruning
- m_U2 - Variable in class si.ijs.kt.clus.pruning.CartPruning
- m_UnknownFreq - Variable in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- m_UnknownFreq - Variable in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- m_UnlabeledData - Variable in class si.ijs.kt.clus.main.ClusRun
- m_UseHier - Static variable in class si.ijs.kt.clus.Clus
- m_Validated - Variable in class si.ijs.kt.clus.algo.rules.ClusRulesFromTree
-
Has something to do with prediction validity.
- m_Validation - Variable in class si.ijs.kt.clus.statistic.WHTDStatistic
- m_ValidErr - Variable in class si.ijs.kt.clus.main.ClusSummary
- m_ValidErr - Variable in class si.ijs.kt.clus.model.ClusModelInfo
- m_ValidModelProc - Variable in class si.ijs.kt.clus.model.ClusModelInfo
- m_Value - Variable in class si.ijs.kt.clus.error.ICVPairwiseDistancesError
- m_Value - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- m_Value - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileBool
- m_Value - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileDouble
- m_Value - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileInt
- m_Value - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileString
- m_Value - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrDouble
- m_Value - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrInt
- m_Value - Variable in class si.ijs.kt.clus.util.jeans.util.list.MyIntList
- m_Values - Variable in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- m_Values - Variable in class si.ijs.kt.clus.error.BinaryPredictionList
-
Either empty list or sorted list of values of m_ValueSet
- m_Values - Variable in class si.ijs.kt.clus.error.mlc.MLROCAndPRCurve
- m_Values - Variable in class si.ijs.kt.clus.error.mlcForHmlc.MLROCAndPRCurve
- m_Values - Variable in class si.ijs.kt.clus.error.ROCAndPRCurve
- m_Values - Variable in class si.ijs.kt.clus.model.test.SubsetTest
- m_Values - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominal
- m_ValueSet - Variable in class si.ijs.kt.clus.error.BinaryPredictionList
-
Hash map with key: value pairs that are of form (hash of) x: x
- m_ValueToName - Variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileInt
- m_ValueWithDefault - Variable in class si.ijs.kt.clus.error.ICVPairwiseDistancesError
- m_Verbose - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- m_Verbose - Variable in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- m_View - Variable in class si.ijs.kt.clus.data.rows.FileTupleIterator
- m_Visitor - Variable in class si.ijs.kt.clus.algo.rules.ClusRule
- m_Visitor - Variable in class si.ijs.kt.clus.algo.tdidt.ClusNode
- m_VPitem - Variable in class si.ijs.kt.clus.algo.kNN.methods.vpTree.VPNode
- m_VSB - Variable in class si.ijs.kt.clus.pruning.SequencePruningVSB
- m_WAvgAUPRC - Variable in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- m_WAvgAUPRC - Variable in class si.ijs.kt.clus.error.mlc.MLROCAndPRCurve
- m_WAvgAUPRC - Variable in class si.ijs.kt.clus.error.mlcForHmlc.MLROCAndPRCurve
- m_Weight - Variable in class si.ijs.kt.clus.data.rows.DataTuple
-
Weight of the tuple.
- m_Weight - Variable in class si.ijs.kt.clus.error.WAHNDError
- m_weights - Variable in class si.ijs.kt.clus.util.tools.optimization.gd.GDAlgorithm
-
Current weights
- m_Weights - Variable in class si.ijs.kt.clus.data.attweights.ClusAttributeWeights
- m_Weights - Variable in class si.ijs.kt.clus.distance.hierarchies.HierWeightSPath
- m_Weights - Variable in class si.ijs.kt.clus.distance.hierarchies.HierWPenalty
- m_Weights - Variable in class si.ijs.kt.clus.error.MSError
- m_Weights - Variable in class si.ijs.kt.clus.error.MSNominalError
- m_Weights - Variable in class si.ijs.kt.clus.error.sets.Accuracy
- m_Weights - Variable in class si.ijs.kt.clus.error.sets.F1Score
- m_Weights - Variable in class si.ijs.kt.clus.error.sets.HammingLossError
- m_Weights - Variable in class si.ijs.kt.clus.error.sets.Precision
- m_Weights - Variable in class si.ijs.kt.clus.error.sets.Recall
- m_Weights - Variable in class si.ijs.kt.clus.error.sets.SubsetAccuracy
- m_Weights - Variable in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- m_Weights - Variable in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
- m_Weights - Variable in class si.ijs.kt.clus.pruning.CartPruning
- m_Weights - Variable in class si.ijs.kt.clus.pruning.SequencePruningVSB
- m_WriteCurves - Variable in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- m_WriteCurves - Variable in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- m_WriteErrorFile - Variable in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- m_WriteModelFile - Variable in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- m_WriteOOBFile - Variable in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- m_WritePerBagModelFiles - Variable in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- m_WritePredictions - Variable in class si.ijs.kt.clus.main.settings.section.SettingsOutput
-
Write test/train predictions to files
- m_Writer - Variable in class si.ijs.kt.clus.addon.sit.ErrorOutput
- m_Writer - Variable in class si.ijs.kt.clus.algo.tdidt.processor.NodeIDWriter
- m_Writer - Variable in class si.ijs.kt.clus.main.ClusOutput
- m_Writer - Variable in class si.ijs.kt.clus.model.processor.ClusEnsemblePredictionWriter
- m_Writer - Variable in class si.ijs.kt.clus.model.processor.PredictionWriter
- m_Writer - Static variable in class si.ijs.kt.clus.util.DebugFile
- m_Writer - Variable in class si.ijs.kt.clus.util.jeans.io.MyFile
- m_XValSel - Variable in class si.ijs.kt.clus.addon.sit.mtLearner.MTLearnerImpl
- m_ZAlpha - Variable in class si.ijs.kt.clus.heuristic.EncodingCost
- M5 - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.PruningMethod
- M5Multi - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.PruningMethod
- M5Pruner - Class in si.ijs.kt.clus.pruning
- M5Pruner(ClusAttributeWeights, double) - Constructor for class si.ijs.kt.clus.pruning.M5Pruner
- M5PrunerMulti - Class in si.ijs.kt.clus.pruning
- M5PrunerMulti(ClusAttributeWeights, double) - Constructor for class si.ijs.kt.clus.pruning.M5PrunerMulti
- MacroFOne - Class in si.ijs.kt.clus.error.mlc
- MacroFOne - Class in si.ijs.kt.clus.error.mlcForHmlc
- MacroFOne - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsMLC.MultiLabelMeasures
- MacroFOne(int) - Constructor for class si.ijs.kt.clus.error.mlcForHmlc.MacroFOne
- MacroFOne(ClusErrorList, NominalAttrType[]) - Constructor for class si.ijs.kt.clus.error.mlc.MacroFOne
- MacroPrecision - Class in si.ijs.kt.clus.error.mlc
- MacroPrecision - Class in si.ijs.kt.clus.error.mlcForHmlc
- MacroPrecision - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsMLC.MultiLabelMeasures
- MacroPrecision(int) - Constructor for class si.ijs.kt.clus.error.mlcForHmlc.MacroPrecision
- MacroPrecision(ClusErrorList, NominalAttrType[]) - Constructor for class si.ijs.kt.clus.error.mlc.MacroPrecision
- MacroRecall - Class in si.ijs.kt.clus.error.mlc
- MacroRecall - Class in si.ijs.kt.clus.error.mlcForHmlc
- MacroRecall - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsMLC.MultiLabelMeasures
- MacroRecall(int) - Constructor for class si.ijs.kt.clus.error.mlcForHmlc.MacroRecall
- MacroRecall(ClusErrorList, NominalAttrType[]) - Constructor for class si.ijs.kt.clus.error.mlc.MacroRecall
- main(String[]) - Static method in class si.ijs.kt.clus.addon.hmc.ClusAmandaRules.ClusAmandaRules
- main(String[]) - Static method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageSingleClass
- main(String[]) - Static method in class si.ijs.kt.clus.addon.hmc.HMCConvertDAGData.HMCConvertDAGData
- main(String[]) - Static method in class si.ijs.kt.clus.addon.hmc.HMCConvertToSC.HMCConvertToSC
- main(String[]) - Static method in class si.ijs.kt.clus.addon.hmc.HMCNodeWiseModels.hmcnwmodels.HMCNodeWiseModels
- main(String[]) - Static method in class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI
- main(String[]) - Static method in class si.ijs.kt.clus.addon.sit.Sit
- main(String[]) - Static method in class si.ijs.kt.clus.Clus
- main(String[]) - Static method in class si.ijs.kt.clus.util.ClusUtil
- main(String[]) - Static method in class si.ijs.kt.clus.util.format.ClusFormat
- main(String[]) - Static method in class si.ijs.kt.clus.util.jeans.math.MathUtil
- main(String[]) - Static method in class si.ijs.kt.clus.util.jeans.util.MultiDelimStringTokenizer
- main(String[]) - Static method in class si.ijs.kt.clus.util.jeans.util.sort.DoubleIndexSorter
- main(String[]) - Static method in class si.ijs.kt.clus.util.tools.ClusShowModelInfo
- main(String[]) - Static method in class si.ijs.kt.clus.util.tools.hier.GenerateData
-
Deprecated.
- main(String[]) - Static method in class si.ijs.kt.clus.util.tools.manual.ManualBuilderMain
- main(ClusStatManager, OptimizationProblem.OptimizationParameter, ClusRuleSet) - Static method in class si.ijs.kt.clus.util.tools.optimization.gd.CallExternGD
-
Returns weights
- mainTarget - Variable in class si.ijs.kt.clus.addon.sit.searchAlgorithm.SITFitnessFunction
- Majority - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleVotingType
- makeCurrentBesTestAndHeuristic() - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- makeEdge(int, int) - Method in class si.ijs.kt.clus.ext.ilevelc.DerivedConstraintsComputer
- makeForestFromBags(ClusRun, TupleIterator, TupleIterator) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce
- makeLeaf() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- makeLeaf() - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- makeLeaf() - Method in class si.ijs.kt.clus.ext.optiontree.ClusSplitNode
- makeLeaf() - Method in interface si.ijs.kt.clus.ext.optiontree.Node
- makeLeaf(int) - Method in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- makeLeaf(ClusNode) - Method in class si.ijs.kt.clus.algo.tdidt.DepthFirstInduce
- makeLeaf(ClusNode) - Method in class si.ijs.kt.clus.ext.bestfirst.BestFirstInduce
- makeNAfterDot(int) - Static method in class si.ijs.kt.clus.util.format.ClusFormat
- makeNAfterDot2(int) - Static method in class si.ijs.kt.clus.util.format.ClusFormat
-
Deprecated.
- makeNodes() - Method in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- makeSet(int) - Method in class si.ijs.kt.clus.util.jeans.util.DisjointSetForest
- makeSets(int) - Method in class si.ijs.kt.clus.util.jeans.util.DisjointSetForest
- makeString(char, int) - Static method in class si.ijs.kt.clus.util.jeans.util.StringUtils
- makeUnlabeled() - Method in class si.ijs.kt.clus.data.rows.DataTuple
-
Set all target values to missing
- makeWriter() - Static method in class si.ijs.kt.clus.util.DebugFile
- Manhattan - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsKNN.Distance
- ManhattanDistance - Class in si.ijs.kt.clus.distance.primitive
- ManhattanDistance(SearchDistance, boolean, ClusAttrType[]) - Constructor for class si.ijs.kt.clus.distance.primitive.ManhattanDistance
- MANUAL_DIR - Static variable in class si.ijs.kt.clus.util.tools.manual.ManualBuilderMain
- MANUAL_OPTIONS_LISTS_DIR - Static variable in class si.ijs.kt.clus.util.tools.manual.ManualBuilderMain
- MANUAL_OPTIONS_LISTS_DIR_EXISTING - Static variable in class si.ijs.kt.clus.util.tools.manual.ManualBuilderMain
- ManualBuilder - Class in si.ijs.kt.clus.util.tools.manual
- ManualBuilder() - Constructor for class si.ijs.kt.clus.util.tools.manual.ManualBuilder
- ManualBuilderMain - Class in si.ijs.kt.clus.util.tools.manual
- ManualBuilderMain() - Constructor for class si.ijs.kt.clus.util.tools.manual.ManualBuilderMain
- ManualEntry - Class in si.ijs.kt.clus.util.tools.manual
- ManualEntry(String) - Constructor for class si.ijs.kt.clus.util.tools.manual.ManualEntry
- ManualSectionEntry - Class in si.ijs.kt.clus.util.tools.manual
- ManualSectionEntry(String) - Constructor for class si.ijs.kt.clus.util.tools.manual.ManualSectionEntry
- markStartRecording() - Method in class si.ijs.kt.clus.model.io.ClusTreeReader
- Matching - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SetDistance
- MathUtil - Class in si.ijs.kt.clus.util.jeans.math
- MathUtil() - Constructor for class si.ijs.kt.clus.util.jeans.math.MathUtil
- max() - Method in class si.ijs.kt.clus.algo.kNN.distance.valentin.NumericStatistic
- max() - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeries
- max(double[]) - Static method in class si.ijs.kt.clus.ext.semisupervised.Helper
-
Calculates maximum of an array of values
- max(double[]) - Static method in class si.ijs.kt.clus.util.jeans.util.array.MDoubleArray
- Max - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.OptimizationGDMTCombineGradient
-
GD optimization, combining of targets - combine by taking max gradient.
- MAX - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMTR.HierarchyAggregationsHMTR
- max_abs(double[]) - Static method in class si.ijs.kt.clus.util.ClusUtil
- MAX_ALLOWED_EVOLUTIONS - Variable in class si.ijs.kt.clus.addon.sit.searchAlgorithm.GeneticSearch
- MAX_BRANCH - Static variable in class si.ijs.kt.clus.util.tools.hier.GenerateData
-
Deprecated.
- MAX_CLASS - Static variable in class si.ijs.kt.clus.util.tools.hier.GenerateData
-
Deprecated.
- MAX_DEPTH - Static variable in class si.ijs.kt.clus.util.tools.hier.GenerateData
-
Deprecated.
- MAX_ERROR - Static variable in class si.ijs.kt.clus.util.tools.hier.GenerateData
-
Deprecated.
- MaxAvgPWDistance - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsPhylogeny.PhylogenyCriterion
- maxes - Static variable in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- maxHeight(BinaryNode) - Static method in class si.ijs.kt.clus.util.jeans.tree.BinaryNode
- Maximum - Class in si.ijs.kt.clus.ext.semisupervised.confidence.aggregation
-
Returns maximum of per-target reliability scores, i.e., an example is considered as reliable as its most reliable component
- Maximum - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLAggregation
- Maximum() - Constructor for class si.ijs.kt.clus.ext.semisupervised.confidence.aggregation.Maximum
- MaxLoss - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.OptimizationGDMTCombineGradient
-
GD optimization, combining of targets - combine by taking the gradient of target with maximal loss.
- MaxLossFast - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.OptimizationGDMTCombineGradient
-
GD optimization, combining of targets - combine by taking the gradient of target with maximal LINEAR loss.
- MaxMinPWDistance - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsPhylogeny.PhylogenyCriterion
- MComparator - Interface in si.ijs.kt.clus.util.jeans.util.sort
- MDouble - Class in si.ijs.kt.clus.util.jeans.math
- MDouble() - Constructor for class si.ijs.kt.clus.util.jeans.math.MDouble
- MDouble(double) - Constructor for class si.ijs.kt.clus.util.jeans.math.MDouble
- MDouble(String) - Constructor for class si.ijs.kt.clus.util.jeans.math.MDouble
- MDoubleArray - Class in si.ijs.kt.clus.util.jeans.util.array
- MDoubleArray() - Constructor for class si.ijs.kt.clus.util.jeans.util.array.MDoubleArray
- MDoubleArrayComparator - Class in si.ijs.kt.clus.util.jeans.util.array
- MDoubleArrayComparator(int) - Constructor for class si.ijs.kt.clus.util.jeans.util.array.MDoubleArrayComparator
- mean() - Method in class si.ijs.kt.clus.algo.kNN.distance.valentin.NominalStatistic
- mean() - Method in class si.ijs.kt.clus.algo.kNN.distance.valentin.NumericStatistic
- mean(double[]) - Static method in class si.ijs.kt.clus.util.ClusUtil
- MEAN_BRANCH - Static variable in class si.ijs.kt.clus.util.tools.hier.GenerateData
-
Deprecated.
- meanDistNom(int) - Method in class si.ijs.kt.clus.statistic.CombStat
-
Returns the weighted sum of mean distances for all nominal attributes.
- meanDistNomOne(int) - Method in class si.ijs.kt.clus.statistic.CombStat
-
Returns the mean distance of values of a nominal attribute from the prototype.
- meanEntropy() - Method in class si.ijs.kt.clus.statistic.CombStat
-
Returns the mean entropy of all nominal attributes.
- meanVariance(int) - Method in class si.ijs.kt.clus.statistic.CombStat
-
Returns the mean variance of all numeric attributes.
- median(double[]) - Static method in class si.ijs.kt.clus.ext.semisupervised.Helper
- MEDIAN - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMTR.HierarchyAggregationsHMTR
- MemoryTupleIterator - Class in si.ijs.kt.clus.data.rows
- MemoryTupleIterator(RowData) - Constructor for class si.ijs.kt.clus.data.rows.MemoryTupleIterator
- MemoryTupleIterator(RowData, DataPreprocs) - Constructor for class si.ijs.kt.clus.data.rows.MemoryTupleIterator
- merge(ManualEntry) - Method in class si.ijs.kt.clus.util.tools.manual.ManualEntry
- merge(ManualSectionEntry) - Method in class si.ijs.kt.clus.util.tools.manual.ManualSectionEntry
-
Merge this and other into this
- mergeExistingTables(String, String) - Method in class si.ijs.kt.clus.util.tools.manual.ManualBuilder
- mergeSorted(int[], int[]) - Static method in class si.ijs.kt.clus.util.jeans.util.array.MyIntArray
- MEstimate - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.Heuristic
- MICRO - Static variable in class si.ijs.kt.clus.util.ClusUtil
- MicroFOne - Class in si.ijs.kt.clus.error.mlc
- MicroFOne - Class in si.ijs.kt.clus.error.mlcForHmlc
- MicroFOne - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsMLC.MultiLabelMeasures
- MicroFOne(int) - Constructor for class si.ijs.kt.clus.error.mlcForHmlc.MicroFOne
- MicroFOne(ClusErrorList, NominalAttrType[]) - Constructor for class si.ijs.kt.clus.error.mlc.MicroFOne
- MicroPrecision - Class in si.ijs.kt.clus.error.mlc
- MicroPrecision - Class in si.ijs.kt.clus.error.mlcForHmlc
- MicroPrecision - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsMLC.MultiLabelMeasures
- MicroPrecision(int) - Constructor for class si.ijs.kt.clus.error.mlcForHmlc.MicroPrecision
- MicroPrecision(ClusErrorList, NominalAttrType[]) - Constructor for class si.ijs.kt.clus.error.mlc.MicroPrecision
- MicroRecall - Class in si.ijs.kt.clus.error.mlc
- MicroRecall - Class in si.ijs.kt.clus.error.mlcForHmlc
- MicroRecall - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsMLC.MultiLabelMeasures
- MicroRecall(int) - Constructor for class si.ijs.kt.clus.error.mlcForHmlc.MicroRecall
- MicroRecall(ClusErrorList, NominalAttrType[]) - Constructor for class si.ijs.kt.clus.error.mlc.MicroRecall
- Middle - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SplitPositions
- min() - Method in class si.ijs.kt.clus.algo.kNN.distance.valentin.NumericStatistic
- min() - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeries
- min(double[]) - Static method in class si.ijs.kt.clus.ext.semisupervised.Helper
-
Calculates minimum of an array of values
- MIN - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMTR.HierarchyAggregationsHMTR
- MINIMAL_WEIGHT - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsTree
- Minimum - Class in si.ijs.kt.clus.ext.semisupervised.confidence.aggregation
-
Returns minimum of per-target reliability scores, i.e., an example is considered as reliable as its least reliable component
- Minimum - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLAggregation
- Minimum() - Constructor for class si.ijs.kt.clus.ext.semisupervised.confidence.aggregation.Minimum
- Minkowski - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.TupleDistance
- MinkowskiDistance - Class in si.ijs.kt.clus.distance.complex.tuples
- MinkowskiDistance(int, ClusDistance[]) - Constructor for class si.ijs.kt.clus.distance.complex.tuples.MinkowskiDistance
- MinkowskiDistance(TupleAttrType, int, ClusDistance[]) - Constructor for class si.ijs.kt.clus.distance.complex.tuples.MinkowskiDistance
- MinMaxNormalization - Class in si.ijs.kt.clus.ext.semisupervised.confidence.normalization
-
Normalises per-target confidence scores to [0,1].
- MinMaxNormalization - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLNormalization
-
normalization to [0,1] interval
- MinMaxNormalization(int) - Constructor for class si.ijs.kt.clus.ext.semisupervised.confidence.normalization.MinMaxNormalization
- mins - Static variable in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- MIntArray - Class in si.ijs.kt.clus.util.jeans.util.array
- MIntArray() - Constructor for class si.ijs.kt.clus.util.jeans.util.array.MIntArray
- MIntArray(int) - Constructor for class si.ijs.kt.clus.util.jeans.util.array.MIntArray
- MinTotBranchLength - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsPhylogeny.PhylogenyCriterion
- MisclassificationError - Class in si.ijs.kt.clus.error
- MisclassificationError(ClusErrorList, NominalAttrType[]) - Constructor for class si.ijs.kt.clus.error.MisclassificationError
- MisclassificationError(ClusErrorList, NominalAttrType[], String) - Constructor for class si.ijs.kt.clus.error.MisclassificationError
- missing - Variable in class si.ijs.kt.clus.data.rows.RowDataSortHelper
- MISSING - Static variable in class si.ijs.kt.clus.data.type.primitive.NumericAttrType
- MissingTargetImputation - Class in si.ijs.kt.clus.ext.imputation
- MissingTargetImputation() - Constructor for class si.ijs.kt.clus.ext.imputation.MissingTargetImputation
- mkdir(String) - Static method in class si.ijs.kt.clus.util.jeans.util.FileUtil
- mkNewGroups(OptXValGroup, MyListIter) - Method in class si.ijs.kt.clus.ext.optxval.OptXValIndNO
- mkNewGroups(OptXValGroup, MyListIter) - Method in class si.ijs.kt.clus.ext.optxval.OptXValIndOV
-
Deprecated.
- MLAccuracy - Class in si.ijs.kt.clus.error.mlc
- MLAccuracy - Class in si.ijs.kt.clus.error.mlcForHmlc
- MLAccuracy - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsMLC.MultiLabelMeasures
- MLAccuracy - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRelief.MultilabelDistance
- MLAccuracy() - Constructor for class si.ijs.kt.clus.error.mlcForHmlc.MLAccuracy
- MLAccuracy(ClusErrorList, NominalAttrType[]) - Constructor for class si.ijs.kt.clus.error.mlc.MLAccuracy
- MLaverageAUPRC - Class in si.ijs.kt.clus.error.mlc
- MLaverageAUPRC - Class in si.ijs.kt.clus.error.mlcForHmlc
- MLaverageAUPRC(int) - Constructor for class si.ijs.kt.clus.error.mlcForHmlc.MLaverageAUPRC
- MLaverageAUPRC(ClusErrorList, NominalAttrType[]) - Constructor for class si.ijs.kt.clus.error.mlc.MLaverageAUPRC
- MLaverageAUROC - Class in si.ijs.kt.clus.error.mlc
- MLaverageAUROC - Class in si.ijs.kt.clus.error.mlcForHmlc
- MLaverageAUROC(int) - Constructor for class si.ijs.kt.clus.error.mlcForHmlc.MLaverageAUROC
- MLaverageAUROC(ClusErrorList, NominalAttrType[]) - Constructor for class si.ijs.kt.clus.error.mlc.MLaverageAUROC
- MlcHmlcSubError - Interface in si.ijs.kt.clus.error.mlcForHmlc
- MlcMeasuresForHmlc - Class in si.ijs.kt.clus.error.mlcForHmlc
-
Use if you want to compute MLC-measures in HMLC case.
- MlcMeasuresForHmlc(ClusErrorList, ClassHierarchy) - Constructor for class si.ijs.kt.clus.error.mlcForHmlc.MlcMeasuresForHmlc
- MLFOne - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsMLC.MultiLabelMeasures
- MLFOne - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRelief.MultilabelDistance
- MLFOneMeasure - Class in si.ijs.kt.clus.error.mlc
- MLFOneMeasure - Class in si.ijs.kt.clus.error.mlcForHmlc
- MLFOneMeasure() - Constructor for class si.ijs.kt.clus.error.mlcForHmlc.MLFOneMeasure
- MLFOneMeasure(ClusErrorList, NominalAttrType[]) - Constructor for class si.ijs.kt.clus.error.mlc.MLFOneMeasure
- MLpooledAUPRC - Class in si.ijs.kt.clus.error.mlc
- MLpooledAUPRC - Class in si.ijs.kt.clus.error.mlcForHmlc
- MLpooledAUPRC(int) - Constructor for class si.ijs.kt.clus.error.mlcForHmlc.MLpooledAUPRC
- MLpooledAUPRC(ClusErrorList, NominalAttrType[]) - Constructor for class si.ijs.kt.clus.error.mlc.MLpooledAUPRC
- MLPrecision - Class in si.ijs.kt.clus.error.mlc
- MLPrecision - Class in si.ijs.kt.clus.error.mlcForHmlc
- MLPrecision - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsMLC.MultiLabelMeasures
- MLPrecision() - Constructor for class si.ijs.kt.clus.error.mlcForHmlc.MLPrecision
- MLPrecision(ClusErrorList, NominalAttrType[]) - Constructor for class si.ijs.kt.clus.error.mlc.MLPrecision
- MLRecall - Class in si.ijs.kt.clus.error.mlc
- MLRecall - Class in si.ijs.kt.clus.error.mlcForHmlc
- MLRecall - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsMLC.MultiLabelMeasures
- MLRecall() - Constructor for class si.ijs.kt.clus.error.mlcForHmlc.MLRecall
- MLRecall(ClusErrorList, NominalAttrType[]) - Constructor for class si.ijs.kt.clus.error.mlc.MLRecall
- MLROCAndPRCurve - Class in si.ijs.kt.clus.error.mlc
- MLROCAndPRCurve - Class in si.ijs.kt.clus.error.mlcForHmlc
- MLROCAndPRCurve(int) - Constructor for class si.ijs.kt.clus.error.mlcForHmlc.MLROCAndPRCurve
- MLROCAndPRCurve(ClusErrorList, NominalAttrType[]) - Constructor for class si.ijs.kt.clus.error.mlc.MLROCAndPRCurve
- MLROCAndPRCurve.CurveType - Enum Class in si.ijs.kt.clus.error.mlcForHmlc
- MLweightedAUPRC - Class in si.ijs.kt.clus.error.mlc
- MLweightedAUPRC - Class in si.ijs.kt.clus.error.mlcForHmlc
- MLweightedAUPRC(int) - Constructor for class si.ijs.kt.clus.error.mlcForHmlc.MLweightedAUPRC
- MLweightedAUPRC(ClusErrorList, NominalAttrType[]) - Constructor for class si.ijs.kt.clus.error.mlc.MLweightedAUPRC
- MMatrix - Class in si.ijs.kt.clus.util.jeans.math.matrix
- MMatrix() - Constructor for class si.ijs.kt.clus.util.jeans.math.matrix.MMatrix
- MNumber - Class in si.ijs.kt.clus.util.jeans.math
- MNumber() - Constructor for class si.ijs.kt.clus.util.jeans.math.MNumber
- modelAlreadyIn(ClusBeamModel) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeam
-
Dragi check if the same tree is already in the beam
- modelDone() - Method in class si.ijs.kt.clus.algo.tdidt.processor.NodeIDWriter
- modelDone() - Method in class si.ijs.kt.clus.model.processor.ClusModelProcessor
- modelDone() - Method in class si.ijs.kt.clus.model.processor.ModelProcessorCollection
- ModelProcessorCollection - Class in si.ijs.kt.clus.model.processor
- ModelProcessorCollection() - Constructor for class si.ijs.kt.clus.model.processor.ModelProcessorCollection
- modelUpdate(DataTuple, ClusModel) - Method in class si.ijs.kt.clus.algo.rules.ClusCalcRuleErrorProc
- modelUpdate(DataTuple, ClusModel) - Method in class si.ijs.kt.clus.algo.tdidt.processor.BasicExampleCollector
- modelUpdate(DataTuple, ClusModel) - Method in class si.ijs.kt.clus.algo.tdidt.processor.NodeIDWriter
- modelUpdate(DataTuple, ClusModel) - Method in class si.ijs.kt.clus.model.processor.CalcStatisticProcessor
- modelUpdate(DataTuple, ClusModel) - Method in class si.ijs.kt.clus.model.processor.ClusModelProcessor
- modelUpdate(DataTuple, ClusModel) - Method in class si.ijs.kt.clus.model.processor.PredictionWriter
- modelUpdate(DataTuple, ClusModel) - Method in class si.ijs.kt.clus.pruning.TreeErrorComputer
- Modified - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMatrixType
- modifiedEntropy(int) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- ModifiedEntropy - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.EntropyType
- ModifiedGainHeuristic - Class in si.ijs.kt.clus.ext.semisupervised
- ModifiedGainHeuristic(ClusStatistic, Settings) - Constructor for class si.ijs.kt.clus.ext.semisupervised.ModifiedGainHeuristic
- modifyGradients(int[], ArrayList<Double>) - Method in class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
-
Recompute the gradients new iteration.
- modifyGradientSquared(int[]) - Method in class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
-
Recomputation of gradients for least squares loss function
- MoranIndex1(float) - Static method in class si.ijs.kt.clus.addon.network.PredictionAnalyzer
- MoranIndex11(float) - Static method in class si.ijs.kt.clus.addon.network.PredictionAnalyzer
- MoranIndex2(float) - Static method in class si.ijs.kt.clus.addon.network.PredictionAnalyzer
- MoranIndex22(float) - Static method in class si.ijs.kt.clus.addon.network.PredictionAnalyzer
- MORE - Static variable in interface si.ijs.kt.clus.util.jeans.util.sort.MComparator
- Morishita - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.Heuristic
- mousePressed(MouseEvent) - Method in class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI.ILevelMouseListener
- MPCKMeansWrapper - Class in si.ijs.kt.clus.ext.ilevelc
- MPCKMeansWrapper(ClusStatManager) - Constructor for class si.ijs.kt.clus.ext.ilevelc.MPCKMeansWrapper
- MSError - Class in si.ijs.kt.clus.error
- MSError(ClusErrorList, NumericAttrType[]) - Constructor for class si.ijs.kt.clus.error.MSError
- MSError(ClusErrorList, NumericAttrType[], String) - Constructor for class si.ijs.kt.clus.error.MSError
- MSError(ClusErrorList, NumericAttrType[], ClusAttributeWeights) - Constructor for class si.ijs.kt.clus.error.MSError
- MSError(ClusErrorList, NumericAttrType[], ClusAttributeWeights, boolean) - Constructor for class si.ijs.kt.clus.error.MSError
- MSError(ClusErrorList, NumericAttrType[], ClusAttributeWeights, boolean, String) - Constructor for class si.ijs.kt.clus.error.MSError
- MSError(ClusErrorList, NumericAttrType[], ClusAttributeWeights, String) - Constructor for class si.ijs.kt.clus.error.MSError
- MSNominalError - Class in si.ijs.kt.clus.error
- MSNominalError(ClusErrorList, NominalAttrType[], ClusAttributeWeights) - Constructor for class si.ijs.kt.clus.error.MSNominalError
- MSNominalError(ClusErrorList, NominalAttrType[], ClusAttributeWeights, String) - Constructor for class si.ijs.kt.clus.error.MSNominalError
- MSortable - Interface in si.ijs.kt.clus.util.jeans.util.sort
- MSorter - Class in si.ijs.kt.clus.util.jeans.util.sort
-
Deprecated.
- MSorter() - Constructor for class si.ijs.kt.clus.util.jeans.util.sort.MSorter
-
Deprecated.
- MSStringTokenizer - Class in si.ijs.kt.clus.util.jeans.util
- MSStringTokenizer(String) - Constructor for class si.ijs.kt.clus.util.jeans.util.MSStringTokenizer
- MStreamTokenizer - Class in si.ijs.kt.clus.util.jeans.util
- MStreamTokenizer() - Constructor for class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- MStreamTokenizer(InputStream) - Constructor for class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- MStreamTokenizer(Reader) - Constructor for class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- MStreamTokenizer(String) - Constructor for class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- MStringSorter - Class in si.ijs.kt.clus.util.jeans.util.sort
- MStringSorter() - Constructor for class si.ijs.kt.clus.util.jeans.util.sort.MStringSorter
- MStringTokenizer - Class in si.ijs.kt.clus.util.jeans.util
- MStringTokenizer() - Constructor for class si.ijs.kt.clus.util.jeans.util.MStringTokenizer
- MSymMatrix - Class in si.ijs.kt.clus.util.jeans.math.matrix
- MSymMatrix(int) - Constructor for class si.ijs.kt.clus.util.jeans.math.matrix.MSymMatrix
- MTLearner - Interface in si.ijs.kt.clus.addon.sit.mtLearner
- MTLearnerImpl - Class in si.ijs.kt.clus.addon.sit.mtLearner
- MTLearnerImpl() - Constructor for class si.ijs.kt.clus.addon.sit.mtLearner.MTLearnerImpl
- MTokenizer - Class in si.ijs.kt.clus.util.jeans.util
- MTokenizer() - Constructor for class si.ijs.kt.clus.util.jeans.util.MTokenizer
- MULTI_LABEL_CLASSIFICATION - Enum constant in enum class si.ijs.kt.clus.main.ClusStatManager.TargetType
- MultiDelimStringTokenizer - Class in si.ijs.kt.clus.util.jeans.util
- MultiIwithNeighbours - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMeasure
- MultiLabelDistance - Class in si.ijs.kt.clus.distance.primitive.relief
- MultiLabelDistance(SettingsRelief.MultilabelDistance, ClusAttrType[], double[]) - Constructor for class si.ijs.kt.clus.distance.primitive.relief.MultiLabelDistance
- multiply(MNumber) - Method in class si.ijs.kt.clus.util.jeans.math.MNumber
- multiplyWeight(double) - Method in class si.ijs.kt.clus.data.rows.DataTuple
- multiScore(double[]) - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScore
- multiScore(double[], int[]) - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScore
- MultiScore - Class in si.ijs.kt.clus.error.common.multiscore
- MultiScore(ClusSchema, Settings) - Constructor for class si.ijs.kt.clus.error.common.multiscore.MultiScore
- MultiScoreStat - Class in si.ijs.kt.clus.error.common.multiscore
- MultiScoreStat(Settings, ClusStatistic, MultiScore) - Constructor for class si.ijs.kt.clus.error.common.multiscore.MultiScoreStat
- MultiScoreWrapper - Class in si.ijs.kt.clus.error.common.multiscore
- MultiScoreWrapper(ClusNominalError, NumericAttrType[]) - Constructor for class si.ijs.kt.clus.error.common.multiscore.MultiScoreWrapper
- MultiVariateMoranI - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMeasure
- mustNotComputeTestError(int) - Method in class si.ijs.kt.clus.main.settings.section.SettingsKNN
- mustNotComputeTrainingError(int) - Method in class si.ijs.kt.clus.main.settings.section.SettingsKNN
- MVectorSorter - Class in si.ijs.kt.clus.util.jeans.util.sort
- MVectorSorter() - Constructor for class si.ijs.kt.clus.util.jeans.util.sort.MVectorSorter
- MyArray - Class in si.ijs.kt.clus.util.jeans.util
- MyArray() - Constructor for class si.ijs.kt.clus.util.jeans.util.MyArray
- MyArray(int) - Constructor for class si.ijs.kt.clus.util.jeans.util.MyArray
- MyFile - Class in si.ijs.kt.clus.util.jeans.io
- MyFile(String) - Constructor for class si.ijs.kt.clus.util.jeans.io.MyFile
- MyFile(String, boolean) - Constructor for class si.ijs.kt.clus.util.jeans.io.MyFile
- MyIntArray - Class in si.ijs.kt.clus.util.jeans.util.array
- MyIntArray() - Constructor for class si.ijs.kt.clus.util.jeans.util.array.MyIntArray
- MyIntArray(int) - Constructor for class si.ijs.kt.clus.util.jeans.util.array.MyIntArray
- MyIntArray(int, int, int) - Constructor for class si.ijs.kt.clus.util.jeans.util.array.MyIntArray
- MyIntList - Class in si.ijs.kt.clus.util.jeans.util.list
- MyIntList(int) - Constructor for class si.ijs.kt.clus.util.jeans.util.list.MyIntList
- MyList - Class in si.ijs.kt.clus.util.jeans.util.list
- MyList() - Constructor for class si.ijs.kt.clus.util.jeans.util.list.MyList
- MyListIter - Class in si.ijs.kt.clus.util.jeans.util.list
- MyListIter() - Constructor for class si.ijs.kt.clus.util.jeans.util.list.MyListIter
- MyListIter(MyList) - Constructor for class si.ijs.kt.clus.util.jeans.util.list.MyListIter
- MyNode - Class in si.ijs.kt.clus.ext.optiontree
- MyNode - Class in si.ijs.kt.clus.util.jeans.tree
- MyNode() - Constructor for class si.ijs.kt.clus.ext.optiontree.MyNode
- MyNode() - Constructor for class si.ijs.kt.clus.util.jeans.tree.MyNode
- MyNode(MyNode) - Constructor for class si.ijs.kt.clus.ext.optiontree.MyNode
- MyNode(Node) - Constructor for class si.ijs.kt.clus.util.jeans.tree.MyNode
- MyReader() - Constructor for class si.ijs.kt.clus.data.type.primitive.IndexAttrType.MyReader
- MySerializable() - Constructor for class si.ijs.kt.clus.data.type.complex.SetAttrType.MySerializable
- MySerializable() - Constructor for class si.ijs.kt.clus.data.type.complex.TupleAttrType.MySerializable
- MySerializable() - Constructor for class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrType.MySerializable
- MySerializable() - Constructor for class si.ijs.kt.clus.data.type.hierarchies.FlatClassesAttrType.MySerializable
- MySerializable() - Constructor for class si.ijs.kt.clus.data.type.primitive.IntegerAttrType.MySerializable
- MySerializable() - Constructor for class si.ijs.kt.clus.data.type.primitive.NominalAttrType.MySerializable
- MySerializable() - Constructor for class si.ijs.kt.clus.data.type.primitive.NumericAttrType.MySerializable
- MySerializable() - Constructor for class si.ijs.kt.clus.data.type.primitive.SparseNumericAttrType.MySerializable
- MySerializable() - Constructor for class si.ijs.kt.clus.data.type.primitive.StringAttrType.MySerializable
- MySerializable() - Constructor for class si.ijs.kt.clus.data.type.primitive.TimeSeriesAttrType.MySerializable
- MySparseVector - Interface in si.ijs.kt.clus.util.jeans.math.matrix
N
- N_EQ - Static variable in class si.ijs.kt.clus.model.test.NodeTest
- N2 - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTimeSeries.TimeSeriesPrototypeComplexity
- NamedThreadFactory - Class in si.ijs.kt.clus.algo.rules.probabilistic
- NamedThreadFactory(String) - Constructor for class si.ijs.kt.clus.algo.rules.probabilistic.NamedThreadFactory
- NaN - Static variable in class si.ijs.kt.clus.util.ClusUtil
- NANO - Static variable in class si.ijs.kt.clus.util.ClusUtil
- NArySplit - Class in si.ijs.kt.clus.algo.split
- NArySplit() - Constructor for class si.ijs.kt.clus.algo.split.NArySplit
- NB_DATA - Static variable in class si.ijs.kt.clus.util.tools.hier.GenerateData
-
Deprecated.
- NB_RANDOM - Static variable in class si.ijs.kt.clus.util.ClusRandom
- nbRandomRules() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
How many random rules are wanted by RandomRules in the settings file.
- nbVisitors - Static variable in class si.ijs.kt.clus.util.jeans.util.Visitable
- nearest - Variable in class si.ijs.kt.clus.algo.kNN.distance.distanceWeighting.DistanceWeighting
-
Nearest k tuples found
- NearestNeighbour - Class in si.ijs.kt.clus.ext.featureRanking.relief.nearestNeighbour
- NearestNeighbour(int, double) - Constructor for class si.ijs.kt.clus.ext.featureRanking.relief.nearestNeighbour.NearestNeighbour
-
Construct nearest neighbour from the two parameters that define it.
- NearestNeighbour(int, double, double) - Constructor for class si.ijs.kt.clus.ext.featureRanking.relief.nearestNeighbour.NearestNeighbour
-
Deprecated.
- NearestNeighbour(String) - Constructor for class si.ijs.kt.clus.ext.featureRanking.relief.nearestNeighbour.NearestNeighbour
-
Construct nearest neighbour from a string in a file.
- needsHierarchyProcessors() - Method in class si.ijs.kt.clus.main.ClusStatManager
- needsInternalNodes() - Method in class si.ijs.kt.clus.model.processor.CalcStatisticProcessor
- needsInternalNodes() - Method in class si.ijs.kt.clus.model.processor.ClusModelProcessor
- needsInternalNodes() - Method in class si.ijs.kt.clus.pruning.TreeErrorComputer
- needsModelUpdate() - Method in class si.ijs.kt.clus.algo.rules.ClusCalcRuleErrorProc
- needsModelUpdate() - Method in class si.ijs.kt.clus.algo.tdidt.processor.BasicExampleCollector
- needsModelUpdate() - Method in class si.ijs.kt.clus.algo.tdidt.processor.NodeIDWriter
- needsModelUpdate() - Method in class si.ijs.kt.clus.model.processor.CalcStatisticProcessor
- needsModelUpdate() - Method in class si.ijs.kt.clus.model.processor.ClusModelProcessor
- needsModelUpdate() - Method in class si.ijs.kt.clus.model.processor.ModelProcessorCollection
- needsModelUpdate() - Method in class si.ijs.kt.clus.model.processor.PredictionWriter
- needsModelUpdate() - Method in class si.ijs.kt.clus.pruning.TreeErrorComputer
- NEG - Static variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCHeurStat
- NEGATIVE_CLASS - Static variable in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- newClusStatistic() - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- newEvaluations(int) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamAttrSelector
- newInstance(Class<T>) - Method in class si.ijs.kt.clus.util.cloner.Cloner
-
creates a new instance of c.
- newInstance(Class<T>) - Method in interface si.ijs.kt.clus.util.cloner.IInstantiationStrategy
- newInstance(Class<T>) - Method in class si.ijs.kt.clus.util.cloner.ObjenesisInstantiationStrategy
- newThread(Runnable) - Method in class si.ijs.kt.clus.algo.rules.probabilistic.NamedThreadFactory
- nextDouble(int) - Static method in class si.ijs.kt.clus.util.ClusRandom
- nextDouble(int) - Method in class si.ijs.kt.clus.util.ClusRandomNonstatic
- nextElement() - Method in class si.ijs.kt.clus.util.jeans.util.EnumerationGenerator
-
Returns the next element in the Enumeration.
- nextElement() - Method in class si.ijs.kt.clus.util.jeans.util.MSStringTokenizer
- nextGroupToken() - Method in class si.ijs.kt.clus.util.jeans.util.MSStringTokenizer
- nextInt() - Method in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- nextInt(int) - Method in class si.ijs.kt.clus.util.ClusRandomNonstatic
- nextInt(int, int) - Static method in class si.ijs.kt.clus.util.ClusRandom
- nextInt(int, int) - Method in class si.ijs.kt.clus.util.ClusRandomNonstatic
- nextInt(int, int, int) - Static method in class si.ijs.kt.clus.util.ClusRandom
- nextNumberToken() - Method in class si.ijs.kt.clus.util.jeans.util.MSStringTokenizer
- nextPrediction(int, boolean, boolean) - Method in class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy
- nextToken() - Method in class si.ijs.kt.clus.util.jeans.util.MSStringTokenizer
- nextToken() - Method in class si.ijs.kt.clus.util.jeans.util.MultiDelimStringTokenizer
- NN - Class in si.ijs.kt.clus.algo.kNN.methods
- NN(DataTuple, double) - Constructor for class si.ijs.kt.clus.algo.kNN.methods.NN
- NNStack - Class in si.ijs.kt.clus.algo.kNN.methods
-
Implements simple insertion algorithm for maintaining k nearest neighbors.
- NNStack(int) - Constructor for class si.ijs.kt.clus.algo.kNN.methods.NNStack
-
Construct new stack for storing k nearest neighbors.
- No - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleBootstrapping
- No - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsGeneral.ResourceInfoLoad
- No - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsMLC.MultiLabelThresholdOptimization
- No - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsOutput.ConvertRules
- No - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.OptimizationGDAddLinearTerms
-
Do not add linear terms.
- No - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.OptimizationLinearTermNormalizeValues
-
Do not normalize linear terms at all
- No - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.OptimizationNormalization
-
Do not normalize
- No - Enum constant in enum class si.ijs.kt.clus.main.settings.SettingsBase.YesNo
- NO - Static variable in class si.ijs.kt.clus.algo.tdidt.ClusNode
- NO_ABUNDANCE - Static variable in class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- NoClusteringStats - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.TreeOptimizeValues
- Node - Interface in si.ijs.kt.clus.ext.optiontree
- Node - Interface in si.ijs.kt.clus.util.jeans.tree
- NODE_ABUNDANCE - Static variable in class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- NodeDepthPair - Class in si.ijs.kt.clus.ext.ensemble.container
- NodeDepthPair(ClusNode, double) - Constructor for class si.ijs.kt.clus.ext.ensemble.container.NodeDepthPair
- NodeExampleCollector - Class in si.ijs.kt.clus.algo.tdidt.processor
- NodeExampleCollector(String, boolean, Settings) - Constructor for class si.ijs.kt.clus.algo.tdidt.processor.NodeExampleCollector
- NodeIDWriter - Class in si.ijs.kt.clus.algo.tdidt.processor
- NodeIDWriter(String, boolean, Settings) - Constructor for class si.ijs.kt.clus.algo.tdidt.processor.NodeIDWriter
- NodePrototypes - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsOutput.ShowInfo
- nodes - Variable in class si.ijs.kt.clus.heuristic.EncodingCost
- nodes - Variable in class si.ijs.kt.clus.util.jeans.tree.SimpleNode
- nodes - Variable in class si.ijs.kt.clus.util.jeans.tree.VisitableNode
- NodeTest - Class in si.ijs.kt.clus.model.test
- NodeTest() - Constructor for class si.ijs.kt.clus.model.test.NodeTest
- NoInodeStats - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.TreeOptimizeValues
- Nominal - Enum constant in enum class si.ijs.kt.clus.data.type.ClusAttrType.AttributeType
- NOMINAL_WEIGHT - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
- NominalAttrBase - Class in si.ijs.kt.clus.data.cols.attribute
- NominalAttrBase(NominalAttrType) - Constructor for class si.ijs.kt.clus.data.cols.attribute.NominalAttrBase
- NominalAttribute - Class in si.ijs.kt.clus.data.cols.attribute
- NominalAttribute(NominalAttrType) - Constructor for class si.ijs.kt.clus.data.cols.attribute.NominalAttribute
- NominalAttrType - Class in si.ijs.kt.clus.data.type.primitive
-
Attribute of nominal value.
- NominalAttrType(String) - Constructor for class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- NominalAttrType(String, int) - Constructor for class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- NominalAttrType(String, String) - Constructor for class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- NominalAttrType(String, String[]) - Constructor for class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- NominalAttrType(String, ArrayList<String>) - Constructor for class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- NominalAttrType.MySerializable - Class in si.ijs.kt.clus.data.type.primitive
- NominalBasicDistance - Class in si.ijs.kt.clus.algo.kNN.distance.valentin
-
This class represents the distance between 2 values of a certain Nominal Attribute type.
- NominalBasicDistance(Settings) - Constructor for class si.ijs.kt.clus.algo.kNN.distance.valentin.NominalBasicDistance
- NominalCorrelation - Class in si.ijs.kt.clus.error
- NominalCorrelation(ClusErrorList, NominalAttrType[], int, int) - Constructor for class si.ijs.kt.clus.error.NominalCorrelation
- NominalCorrelation(ClusErrorList, NominalAttrType[], int, int, String) - Constructor for class si.ijs.kt.clus.error.NominalCorrelation
- NominalDistance - Class in si.ijs.kt.clus.distance.primitive.nominal
- NominalDistance() - Constructor for class si.ijs.kt.clus.distance.primitive.nominal.NominalDistance
- nominalPredict(int) - Method in class si.ijs.kt.clus.model.test.NodeTest
- nominalPredict(int) - Method in class si.ijs.kt.clus.model.test.NominalTest
- nominalPredict(int) - Method in class si.ijs.kt.clus.model.test.SubsetTest
- nominalPredictWeighted(int) - Method in class si.ijs.kt.clus.model.test.NodeTest
- nominalPredictWeighted(int) - Method in class si.ijs.kt.clus.model.test.NominalTest
- nominalPredictWeighted(int) - Method in class si.ijs.kt.clus.model.test.SubsetTest
- NominalSplit - Class in si.ijs.kt.clus.algo.split
- NominalSplit() - Constructor for class si.ijs.kt.clus.algo.split.NominalSplit
- NominalStatistic - Class in si.ijs.kt.clus.algo.kNN.distance.valentin
-
This class stores some useful statistics for a Nominal Attribute of certain data.
- NominalStatistic() - Constructor for class si.ijs.kt.clus.algo.kNN.distance.valentin.NominalStatistic
- NominalTarget - Class in si.ijs.kt.clus.data.cols.attribute
- NominalTarget(ColTarget, NominalAttrType, int) - Constructor for class si.ijs.kt.clus.data.cols.attribute.NominalTarget
- NominalTest - Class in si.ijs.kt.clus.model.test
- NominalTest(NominalAttrType, double[]) - Constructor for class si.ijs.kt.clus.model.test.NominalTest
- NominalType - Class in si.ijs.kt.clus.util.jeans.io.range
- NominalType(String[]) - Constructor for class si.ijs.kt.clus.util.jeans.io.range.NominalType
- NON_TARGET_WEIGHT - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
- None - Enum constant in enum class si.ijs.kt.clus.Clus.DebugType
- None - Enum constant in enum class si.ijs.kt.clus.data.type.ClusAttrType.ValueType
- None - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsData.NormalizeDataValues
- None - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.PruningMethod
- NONE - Enum constant in enum class si.ijs.kt.clus.main.ClusStatManager.Mode
- NONE - Static variable in class si.ijs.kt.clus.main.settings.SettingsBase
- NoneAdded - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLStoppingCriteria
-
If no instance met the UnlabeledCriteria, i.e., no instance was added to the training set
- NONELIST - Static variable in class si.ijs.kt.clus.main.settings.SettingsBase
- NoNormalization - Class in si.ijs.kt.clus.ext.semisupervised.confidence.normalization
-
Does nothing, no normalization is performed
- NoNormalization - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLNormalization
-
does nothing, leaves per-target scores as they are
- NoNormalization() - Constructor for class si.ijs.kt.clus.ext.semisupervised.confidence.normalization.NoNormalization
- nonZero(double) - Static method in class si.ijs.kt.clus.heuristic.ClusHeuristic
- Normal - Enum constant in enum class si.ijs.kt.clus.data.type.ClusAttrType.Status
- Normalization - Interface in si.ijs.kt.clus.ext.semisupervised.confidence.normalization
-
Class for normalization of per-target confidence scores
- NORMALIZATION_DEFAULT - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
- NORMALIZATIONS - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
-
Section: Attribute - Normalization *
- normalize() - Method in class si.ijs.kt.clus.data.cols.ColTarget
- normalize(double[]) - Method in class si.ijs.kt.clus.error.common.ClusError
- normalize(Map<Integer, double[]>) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.normalization.MinMaxNormalization
-
The score x is normalised as follows: x_norm = (x - min)/(max - min)
- normalize(Map<Integer, double[]>) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.normalization.NoNormalization
- normalize(Map<Integer, double[]>) - Method in interface si.ijs.kt.clus.ext.semisupervised.confidence.normalization.Normalization
- normalize(Map<Integer, double[]>) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.normalization.Ranking
- normalize(Map<Integer, double[]>) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.normalization.Standardization
- normalizeDataAndWriteToFile() - Method in class si.ijs.kt.clus.Clus
-
Does not necessarily do the same as returnNormalizedData.
- normalizedCopy() - Method in class si.ijs.kt.clus.ext.structuredTypes.SetStatistic
-
Used for combining weighted predictions.
- normalizedCopy() - Method in class si.ijs.kt.clus.ext.structuredTypes.TupleStatistic
-
Used for combining weighted predictions.
- normalizedCopy() - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesStat
-
Used for combining weighted predictions.
- normalizedCopy() - Method in class si.ijs.kt.clus.statistic.ClassificationStat
-
Used for combining weighted predictions.
- normalizedCopy() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- normalizedCopy() - Method in class si.ijs.kt.clus.statistic.GISStat
-
Deprecated.Used for combining weighted predictions.
- normalizedCopy() - Method in class si.ijs.kt.clus.statistic.RegressionStat
-
Used for combining weighted predictions.
- normalizedCopy() - Method in class si.ijs.kt.clus.statistic.RegressionStatBinaryNomiss
-
Used for combining weighted predictions.
- normPath(String) - Static method in class si.ijs.kt.clus.util.jeans.util.FileUtil
- NoStopSearch - Class in si.ijs.kt.clus.addon.sit.searchAlgorithm
- NoStopSearch() - Constructor for class si.ijs.kt.clus.addon.sit.searchAlgorithm.NoStopSearch
- NoWeight - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMLC.HierarchyWeight
- NoWeighting - Class in si.ijs.kt.clus.algo.kNN.distance.attributeWeighting
-
Doesn't weights any attributes.
- NoWeighting() - Constructor for class si.ijs.kt.clus.algo.kNN.distance.attributeWeighting.NoWeighting
- NPairs - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTimeSeries.TimeSeriesPrototypeComplexity
- nullInsteadOfClone(Class<?>...) - Method in class si.ijs.kt.clus.util.cloner.Cloner
-
instead of cloning these classes will set the field to null
- NUM_NOM_TAR_NTAR_WEIGHTS - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
-
Section: Attribute - Target weights *
- NUMBER - Static variable in class si.ijs.kt.clus.util.jeans.util.MSStringTokenizer
- numberChildren() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- numberClusters() - Method in class si.ijs.kt.clus.ext.ilevelc.COPKMeans
- numberCompleteTree() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- numberCompleteTree(IntObject) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- numberComponents() - Method in class si.ijs.kt.clus.util.jeans.util.DisjointSetForest
- numberHierarchy() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- numberOfTotalPossibleValues - Variable in class si.ijs.kt.clus.error.sets.HammingLossError
- numberRules() - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- numberTree() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- numberTree(IntObject) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- Numeric - Enum constant in enum class si.ijs.kt.clus.data.type.ClusAttrType.AttributeType
- Numeric - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsData.NormalizeDataValues
- NUMERIC_WEIGHT - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
- NumericAttrBase - Class in si.ijs.kt.clus.data.cols.attribute
- NumericAttrBase(NumericAttrType) - Constructor for class si.ijs.kt.clus.data.cols.attribute.NumericAttrBase
- NumericAttribute - Class in si.ijs.kt.clus.data.cols.attribute
- NumericAttribute(NumericAttrType) - Constructor for class si.ijs.kt.clus.data.cols.attribute.NumericAttribute
- NumericAttrType - Class in si.ijs.kt.clus.data.type.primitive
-
Attribute of numeric (continuous) value.
- NumericAttrType(String) - Constructor for class si.ijs.kt.clus.data.type.primitive.NumericAttrType
- NumericAttrType.MySerializable - Class in si.ijs.kt.clus.data.type.primitive
- NumericBasicDistance - Class in si.ijs.kt.clus.algo.kNN.distance.valentin
-
This class represents the distance between 2 values of a certain Numerical Attribute type.
- NumericBasicDistance(Settings) - Constructor for class si.ijs.kt.clus.algo.kNN.distance.valentin.NumericBasicDistance
- numericPredict(double) - Method in class si.ijs.kt.clus.model.test.InverseNumericTest
- numericPredict(double) - Method in class si.ijs.kt.clus.model.test.NodeTest
- numericPredict(double) - Method in class si.ijs.kt.clus.model.test.NumericTest
- numericPredictWeighted(double) - Method in class si.ijs.kt.clus.model.test.ClusRuleConstraintInduceTest
- numericPredictWeighted(double) - Method in class si.ijs.kt.clus.model.test.InverseNumericTest
- numericPredictWeighted(double) - Method in class si.ijs.kt.clus.model.test.NodeTest
- numericPredictWeighted(double) - Method in class si.ijs.kt.clus.model.test.NumericTest
- NumericStatistic - Class in si.ijs.kt.clus.algo.kNN.distance.valentin
-
This class stores some useful statistics for a Numeric Attribute of certain data.
- NumericStatistic() - Constructor for class si.ijs.kt.clus.algo.kNN.distance.valentin.NumericStatistic
- NumericTarget - Class in si.ijs.kt.clus.data.cols.attribute
- NumericTarget(ColTarget, NumericAttrType, int) - Constructor for class si.ijs.kt.clus.data.cols.attribute.NumericTarget
- NumericTest - Class in si.ijs.kt.clus.model.test
- NumericTest(ClusAttrType) - Constructor for class si.ijs.kt.clus.model.test.NumericTest
- NumericTest(ClusAttrType, double, double) - Constructor for class si.ijs.kt.clus.model.test.NumericTest
- NumNeightbours - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsTree
O
- Object - Enum constant in enum class si.ijs.kt.clus.data.type.ClusAttrType.ValueType
- Object - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsOutput.PythonModelType
- objectiveAccuracyEnabled - Variable in class si.ijs.kt.clus.algo.rules.probabilistic.ClusRuleProbabilisticRuleSetInduceWeights
- objectiveCardinalityEnabled - Variable in class si.ijs.kt.clus.algo.rules.probabilistic.ClusRuleProbabilisticRuleSetInduceWeights
- objectiveCorrectCoverEnabled - Variable in class si.ijs.kt.clus.algo.rules.probabilistic.ClusRuleProbabilisticRuleSetInduceWeights
- objectiveIncorrectCoverEnabled - Variable in class si.ijs.kt.clus.algo.rules.probabilistic.ClusRuleProbabilisticRuleSetInduceWeights
- objectiveOverlapEnabled - Variable in class si.ijs.kt.clus.algo.rules.probabilistic.ClusRuleProbabilisticRuleSetInduceWeights
- objectiveSizeEnabled - Variable in class si.ijs.kt.clus.algo.rules.probabilistic.ClusRuleProbabilisticRuleSetInduceWeights
-
turn on/off objectives
- ObjectLoadStream - Class in si.ijs.kt.clus.util.jeans.io
-
A class implementing an interface to the loading of objects from a file
- ObjectLoadStream(InputStream) - Constructor for class si.ijs.kt.clus.util.jeans.io.ObjectLoadStream
-
Opens a file for loading objects from
- ObjectSaveStream - Class in si.ijs.kt.clus.util.jeans.io
-
A class implementing an interface to the saving of objects to a file
- ObjectSaveStream(OutputStream) - Constructor for class si.ijs.kt.clus.util.jeans.io.ObjectSaveStream
-
Opens a file for saving objects to
- ObjenesisInstantiationStrategy - Class in si.ijs.kt.clus.util.cloner
- ObjenesisInstantiationStrategy() - Constructor for class si.ijs.kt.clus.util.cloner.ObjenesisInstantiationStrategy
- occurs(char, String) - Static method in class si.ijs.kt.clus.util.jeans.util.StringUtils
- ONE - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMTR.HierarchyAggregationsHMTR
- ONE_AFTER_DOT - Static variable in class si.ijs.kt.clus.util.format.ClusFormat
- ONE_NOMINAL - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsTree
- OneBagResults - Class in si.ijs.kt.clus.ext.ensemble.container
- OneBagResults(ClusModel, HashMap<SettingsEnsemble.EnsembleRanking, HashMap<String, double[][]>>, ClusRun, long, int) - Constructor for class si.ijs.kt.clus.ext.ensemble.container.OneBagResults
- OneError - Class in si.ijs.kt.clus.error.mlc
- OneError - Class in si.ijs.kt.clus.error.mlcForHmlc
- OneError - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsMLC.MultiLabelMeasures
- OneError() - Constructor for class si.ijs.kt.clus.error.mlcForHmlc.OneError
- OneError(ClusErrorList, NominalAttrType[]) - Constructor for class si.ijs.kt.clus.error.mlc.OneError
- oneFold(int, ClusNode) - Method in class si.ijs.kt.clus.ext.optxval.OptXValNode
- oneFoldRun(ClusInductionAlgorithmType, int) - Method in class si.ijs.kt.clus.Clus
- OneMinusD - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsKNN.DistanceWeights
- OneOverD - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsKNN.DistanceWeights
- OneTarget - Class in si.ijs.kt.clus.addon.sit.searchAlgorithm
-
Fake learner which returns the maintarget.
- OneTarget() - Constructor for class si.ijs.kt.clus.addon.sit.searchAlgorithm.OneTarget
- OnlyScaling - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.OptimizationNormalization
-
Normalize during optimization with 2*std dev.
- OOBModelWeighted - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleVotingType
- OOBSelection - Class in si.ijs.kt.clus.selection
- OOBSelection(BagSelection) - Constructor for class si.ijs.kt.clus.selection.OOBSelection
- OOBTargetWeighted - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleVotingType
- open() - Method in class si.ijs.kt.clus.data.io.ClusReader
- operationsCount - Static variable in class si.ijs.kt.clus.algo.kNN.methods.SearchAlgorithm
- Optimization - Enum constant in enum class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce.ParallelTrap
- OptimizationAlgorithm - Class in si.ijs.kt.clus.util.tools.optimization
-
Abstract super class for optimization of weights of base learners.
- OptimizationAlgorithm(ClusStatManager) - Constructor for class si.ijs.kt.clus.util.tools.optimization.OptimizationAlgorithm
-
Constructor for classification and regression optimization.
- OptimizationParameter(int, int, int, int, ImplicitLinearTerms) - Constructor for class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem.OptimizationParameter
-
An empty class
- OptimizationParameter(OptimizationProblem.RulePred[], double[][][][], OptimizationProblem.TrueValues[], ImplicitLinearTerms) - Constructor for class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem.OptimizationParameter
- OptimizationProblem - Class in si.ijs.kt.clus.util.tools.optimization
-
Class representing a optimization problem.
- OptimizationProblem(ClusStatManager, OptimizationProblem.OptimizationParameter) - Constructor for class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
-
Constructor for problem to be solved with optimization.
- OptimizationProblem.OptimizationParameter - Class in si.ijs.kt.clus.util.tools.optimization
-
Parameters for optimization algorithm.
- OptimizationProblem.RulePred - Class in si.ijs.kt.clus.util.tools.optimization
-
Predictions of rule type base functions.
- OptimizationProblem.TrueValues - Class in si.ijs.kt.clus.util.tools.optimization
-
True values of the instances.
- optimize() - Method in class si.ijs.kt.clus.util.tools.optimization.de.DEAlgorithm
- optimize() - Method in class si.ijs.kt.clus.util.tools.optimization.gd.GDAlgorithm
-
Optimize the weights for the given data with gradient descent algorithm.
- optimize() - Method in class si.ijs.kt.clus.util.tools.optimization.OptimizationAlgorithm
-
Start the actual optimization.
- optimize2() - Method in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- optimize2(int[]) - Method in class si.ijs.kt.clus.data.rows.RowData
- Optimized - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.RulePredictionMethod
-
Differential evolution optimization of rule weights
- optimizeLinearPreCalc(RowData) - Method in class si.ijs.kt.clus.statistic.SumPairwiseDistancesStat
- optimizeLinearPreCalc(RowData, int) - Method in class si.ijs.kt.clus.statistic.SumPairwiseDistancesStat
- optimizeLogPreCalc(RowData) - Method in class si.ijs.kt.clus.statistic.SumPairwiseDistancesStat
- optimizePairwiseLinearPreCalc(RowData) - Method in class si.ijs.kt.clus.statistic.SumPairwiseDistancesStat
- optimizePreCalc(RowData) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- optimizePreCalc(RowData) - Method in class si.ijs.kt.clus.statistic.SumPairwiseDistancesStat
- optimizePreCalcExact(RowData) - Method in class si.ijs.kt.clus.statistic.SumPairwiseDistancesStat
- optimizeRuleSet(ClusRuleSet, RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
- optimizeRuleSet(ClusRuleSet, RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleInduce
-
Optimize the weights of rules.
- OPTION_ARGS - Static variable in class si.ijs.kt.clus.addon.sit.Sit
-
CMDLineArgsProvider implementation
- OPTION_ARGS - Static variable in class si.ijs.kt.clus.Clus
- OPTION_ARITIES - Static variable in class si.ijs.kt.clus.addon.sit.Sit
- OPTION_ARITIES - Static variable in class si.ijs.kt.clus.Clus
- OptionTree - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.InitialRuleGeneratingMethod
- OptSmoothLocalSearch - Class in si.ijs.kt.clus.util.tools.optimization.sls
- OptSmoothLocalSearch(Integer, Random, ClusStatManager, ClusRun, ClusRuleProbabilisticRuleSetInduce) - Constructor for class si.ijs.kt.clus.util.tools.optimization.sls.OptSmoothLocalSearch
- optXVal(RowData) - Method in class si.ijs.kt.clus.ext.optxval.OptXValInduce
- OptXVal - Class in si.ijs.kt.clus.ext.optxval
-
Deprecated.
- OptXVal(Clus) - Constructor for class si.ijs.kt.clus.ext.optxval.OptXVal
-
Deprecated.
- OptXValBinTree - Class in si.ijs.kt.clus.ext.optxval
- OptXValBinTree() - Constructor for class si.ijs.kt.clus.ext.optxval.OptXValBinTree
- OptXValGroup - Class in si.ijs.kt.clus.ext.optxval
- OptXValGroup(RowData, int) - Constructor for class si.ijs.kt.clus.ext.optxval.OptXValGroup
- OptXValGroup(OptXValGroup, int) - Constructor for class si.ijs.kt.clus.ext.optxval.OptXValGroup
- OptXValIndNO - Class in si.ijs.kt.clus.ext.optxval
- OptXValIndNO(ClusSchema, Settings) - Constructor for class si.ijs.kt.clus.ext.optxval.OptXValIndNO
- OptXValIndOV - Class in si.ijs.kt.clus.ext.optxval
-
Deprecated.
- OptXValIndOV(ClusSchema, Settings) - Constructor for class si.ijs.kt.clus.ext.optxval.OptXValIndOV
-
Deprecated.
- OptXValInduce - Class in si.ijs.kt.clus.ext.optxval
- OptXValInduce(ClusSchema, Settings) - Constructor for class si.ijs.kt.clus.ext.optxval.OptXValInduce
- OptXValNode - Class in si.ijs.kt.clus.ext.optxval
- OptXValNode() - Constructor for class si.ijs.kt.clus.ext.optxval.OptXValNode
- OptXValSplit - Class in si.ijs.kt.clus.ext.optxval
- OptXValSplit() - Constructor for class si.ijs.kt.clus.ext.optxval.OptXValSplit
- OR - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMTR.HierarchyAggregationsHMTR
- Oracle - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsKNN.SearchMethod
- Oracle - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLConfidenceMeasure
-
Oracle - real score, just for testing purposes, actual error on unlabeled examples is calculated to establish reliability scores
- OracleBruteForce - Class in si.ijs.kt.clus.algo.kNN.methods.bfMethod
- OracleBruteForce(ClusRun, SearchDistance) - Constructor for class si.ijs.kt.clus.algo.kNN.methods.bfMethod.OracleBruteForce
- OracleScore - Class in si.ijs.kt.clus.ext.semisupervised.confidence
-
Provides reliability scores on the basis of 'actual error', which is not attainable in practice, i.e., if true unlabeled data are used.
- OracleScore(ClusStatManager, SettingsSSL.SSLNormalization, SettingsSSL.SSLAggregation) - Constructor for class si.ijs.kt.clus.ext.semisupervised.confidence.OracleScore
- Original - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsOutput.ShowModels
- ORIGINAL - Static variable in interface si.ijs.kt.clus.model.ClusModel
-
The type of model returned.
- other - Variable in class si.ijs.kt.clus.data.rows.RowDataSortHelper
- OTHER - Enum constant in enum class si.ijs.kt.clus.main.ClusStatManager.TargetType
- Others - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsOutput.ShowModels
- ouputCurve(int, ArrayList, PrintWriter) - Method in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- OUT_WRITER - Static variable in class si.ijs.kt.clus.util.format.ClusFormat
- out2model(String) - Method in class si.ijs.kt.clus.Clus
- output() - Method in class si.ijs.kt.clus.algo.kNN.methods.kdTree.KDNode
- outputBetweenForest(ClusRun, Clus, String) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce
- OutputLog(int, PrintWriter) - Method in class si.ijs.kt.clus.util.tools.optimization.gd.GDAlgorithm
-
Print the current weights output file.
- OutputLog(DEIndividual, int, PrintWriter) - Method in class si.ijs.kt.clus.util.tools.optimization.de.DEAlgorithm
-
Print the gene to output file.
- OutputPop() - Method in class si.ijs.kt.clus.util.tools.optimization.de.DEAlgorithm
- outputPRCurve(int, ROCAndPRCurve) - Method in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- outputROCCurve(int, ROCAndPRCurve) - Method in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- overlap(ClusRule) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- OverSample - Class in si.ijs.kt.clus.selection
- OverSample(int, double) - Constructor for class si.ijs.kt.clus.selection.OverSample
P
- paintComponent(Graphics) - Method in class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI.ILevelCComponent
- Pair<T1,
T2> - Class in si.ijs.kt.clus.util.tuple -
Implements 2-Tuple.
- Pair(T1, T2) - Constructor for class si.ijs.kt.clus.util.tuple.Pair
- Parallel - Class in si.ijs.kt.clus.algo.rules.probabilistic
- Parallel() - Constructor for class si.ijs.kt.clus.algo.rules.probabilistic.Parallel
- Parallel.Operation<T> - Interface in si.ijs.kt.clus.algo.rules.probabilistic
- parent - Variable in class si.ijs.kt.clus.util.jeans.tree.SimpleNode
- parent - Variable in class si.ijs.kt.clus.util.jeans.tree.VisitableNode
- ParentNode - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.MissingTargetAttributeHandlingType
-
variance and mean (i.e., prediction) will be estimated on the basis of the node's parent
- partitionData() - Method in class si.ijs.kt.clus.Clus
- partitionData(ClusData, ClusSelection, boolean, boolean, ClusSummary, int) - Method in class si.ijs.kt.clus.Clus
- partitionData(ClusRun) - Method in class si.ijs.kt.clus.ext.semisupervised.ClusSemiSupervisedInduce
- partitionData(ClusRun) - Method in class si.ijs.kt.clus.ext.semisupervised.ClusSemiSupervisedPCTs
- partitionData(ClusSelection, int) - Method in class si.ijs.kt.clus.Clus
- partitionDataBasic(ClusData, ClusSelection, ClusData, ClusSummary, int) - Method in class si.ijs.kt.clus.Clus
- partitionDataBasic(ClusData, ClusSelection, ClusSummary, int) - Method in class si.ijs.kt.clus.algo.rules.tune.FIREROSTune
- partitionDataBasic(ClusData, ClusSelection, ClusSummary, int) - Method in class si.ijs.kt.clus.algo.tdidt.tune.CDTTuneFTest
- partitionDataBasic(ClusData, ClusSelection, ClusSummary, int) - Method in class si.ijs.kt.clus.Clus
- partitionDataBasic(RowData) - Method in class si.ijs.kt.clus.Clus
- PATH_ABUNDANCE - Static variable in class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- PCT - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLMethod
- PDist - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsPhylogeny.PhylogenyDistanceMeasure
- Pearson - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMeasure
- PearsonCorrelation - Class in si.ijs.kt.clus.error
- PearsonCorrelation(ClusErrorList, NumericAttrType[]) - Constructor for class si.ijs.kt.clus.error.PearsonCorrelation
- PearsonCorrelation(ClusErrorList, NumericAttrType[], String) - Constructor for class si.ijs.kt.clus.error.PearsonCorrelation
- PearsonDistance - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMeasure
- perform(T) - Method in interface si.ijs.kt.clus.algo.rules.probabilistic.Parallel.Operation
- performSignificanceTest() - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- Pert - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleMethod
- PHYLO - Enum constant in enum class si.ijs.kt.clus.main.ClusStatManager.Mode
- PICO - Static variable in class si.ijs.kt.clus.util.ClusUtil
- pooledAUPRC - Enum constant in enum class si.ijs.kt.clus.error.mlcForHmlc.MLROCAndPRCurve.CurveType
- pooledAUPRC - Static variable in class si.ijs.kt.clus.error.mlc.MLROCAndPRCurve
- PooledAUPRC - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMLC.HierarchyDistance
- PooledAUPRC - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMLC.HierarchyMeasures
- PooledAUPRC - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsMLC.MultiLabelMeasures
- pop() - Method in class si.ijs.kt.clus.util.jeans.util.IntegerStack
- pos - Variable in class si.ijs.kt.clus.util.jeans.util.IntegerStack
- pos - Variable in class si.ijs.kt.clus.util.jeans.util.MStringTokenizer
- POS - Static variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCHeurStat
- position - Variable in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- POSITIVE_CLASS - Static variable in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- POSITIVE_CLASS_INDEX - Static variable in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- postProc() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
-
Post process the rule.
- postProc() - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
Post process the rule set rule by rule.
- postProcess(ClusRuleSet) - Method in class si.ijs.kt.clus.util.tools.optimization.gd.GDAlgorithm
- postProcess(ClusRuleSet) - Method in class si.ijs.kt.clus.util.tools.optimization.OptimizationAlgorithm
- postProcess(ClusRun) - Method in class si.ijs.kt.clus.algo.ClusInductionAlgorithmType
- postProcess(ClusRun) - Method in class si.ijs.kt.clus.algo.kNN.KnnClassifier
- postProcess(ClusRun) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleClassifier
- postProcess(ClusRun) - Method in class si.ijs.kt.clus.algo.tdidt.ClusDecisionTree
-
Post processing decision tree.
- postProcess(ClusRun) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- postProcess(ClusRun) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleClassifier
- postProcess(ClusRun) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- postProcess(ClusRun) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.Relief
- postProcess(ClusRun) - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionTree
- postProcess(ClusRun) - Method in class si.ijs.kt.clus.ext.semisupervised.ClusSemiSupervisedClassifier
- postProcessForest(ClusRun) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce
- postProcessForestForOOBEstimate(ClusRun, OOBSelection, RowData, Clus, String) - Method in class si.ijs.kt.clus.ext.ensemble.ClusOOBErrorEstimate
- postPruneBeamModels(ClusRun, ArrayList) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamInduce
-
Dragi, JSI Post Pruning of the models in the beam
- Precision - Class in si.ijs.kt.clus.error.sets
- Precision - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLConfidenceMeasure
-
"Precision" - used for HMC, on the basis of OOB examples, classification threshold is found such that precision of precision is larger that the specified threshold
- Precision(ClusErrorList, SetAttrType[], ClusAttributeWeights, boolean, ClusDistance) - Constructor for class si.ijs.kt.clus.error.sets.Precision
- Precision(ClusErrorList, SetAttrType[], ClusAttributeWeights, ClusDistance) - Constructor for class si.ijs.kt.clus.error.sets.Precision
- Precision(ClusErrorList, SetAttrType[], ClusDistance) - Constructor for class si.ijs.kt.clus.error.sets.Precision
- predict(int, DataTuple, int, int) - Method in class si.ijs.kt.clus.util.tools.optimization.ImplicitLinearTerms
-
If linear terms are not added excplicitly to the rule set (to save memory), this function returns the prediction.
- predict(ClusAttribute, int) - Method in class si.ijs.kt.clus.model.test.SoftTest
- predict(ClusModel, DataTuple) - Static method in class si.ijs.kt.clus.model.ClusModelPredictor
- predict(ClusModel, RowData) - Static method in class si.ijs.kt.clus.model.ClusModelPredictor
- predictClass(double[][]) - Method in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
-
Classification prediction.
- PredictionAnalyzer - Class in si.ijs.kt.clus.addon.network
- PredictionAnalyzer() - Constructor for class si.ijs.kt.clus.addon.network.PredictionAnalyzer
- PredictionConfidence - Class in si.ijs.kt.clus.ext.semisupervised.confidence
- PredictionConfidence(ClusStatManager, SettingsSSL.SSLNormalization, SettingsSSL.SSLAggregation) - Constructor for class si.ijs.kt.clus.ext.semisupervised.confidence.PredictionConfidence
- PredictionWriter - Class in si.ijs.kt.clus.model.processor
- PredictionWriter(String, Settings, ClusStatistic) - Constructor for class si.ijs.kt.clus.model.processor.PredictionWriter
- predictTuple(DataTuple) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- predictTuple(DataTuple) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- predictTuple(DataTuple) - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- predictTuple(DataTuple) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- predictTupleOneComponent(DataTuple, int, double) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- predictTupleOneComponent(DataTuple, int, double) - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- predictTupleOneComponent(DataTuple, int, int) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- predictTupleOneComponent(DataTuple, int, int) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- predictWeighted(DataTuple) - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageTreeModel
- predictWeighted(DataTuple) - Method in class si.ijs.kt.clus.algo.kNN.KnnModel
- predictWeighted(DataTuple) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
-
Returns the prediction by this rule for the tuple.
- predictWeighted(DataTuple) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleLinearTerm
-
Returns the prediction by this linear term for the tuple.
- predictWeighted(DataTuple) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
Returns the statistic (prediction) for a given tuple.
- predictWeighted(DataTuple) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
-
Code for making predictions
- predictWeighted(DataTuple) - Method in class si.ijs.kt.clus.ext.ensemble.ClusBoostingForest
- predictWeighted(DataTuple) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- predictWeighted(DataTuple) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ReliefModel
- predictWeighted(DataTuple) - Method in class si.ijs.kt.clus.ext.ilevelc.COPKMeansModel
- predictWeighted(DataTuple) - Method in class si.ijs.kt.clus.ext.ilevelc.SimpleClusterModel
- predictWeighted(DataTuple) - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- predictWeighted(DataTuple) - Method in class si.ijs.kt.clus.ext.optiontree.ClusSplitNode
- predictWeighted(DataTuple) - Method in interface si.ijs.kt.clus.model.ClusModel
- predictWeighted(DataTuple) - Method in class si.ijs.kt.clus.model.test.ClusRuleConstraintInduceTest
- predictWeighted(DataTuple) - Method in class si.ijs.kt.clus.model.test.FakeTest
- predictWeighted(DataTuple) - Method in class si.ijs.kt.clus.model.test.InverseNumericTest
- predictWeighted(DataTuple) - Method in class si.ijs.kt.clus.model.test.NodeTest
-
Prediction methods
- predictWeighted(DataTuple) - Method in class si.ijs.kt.clus.model.test.NominalTest
- predictWeighted(DataTuple) - Method in class si.ijs.kt.clus.model.test.NumericTest
- predictWeighted(DataTuple) - Method in class si.ijs.kt.clus.model.test.SoftTest
- predictWeighted(DataTuple) - Method in class si.ijs.kt.clus.model.test.SubsetTest
- predictWeighted(DataTuple, ArrayList<Integer>) - Method in class si.ijs.kt.clus.algo.kNN.KnnModel
- predictWeightedAndGetLeafTuples(DataTuple, List<Integer>) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
-
Make prediction and store indices of tuples which ended in the same leaf as the given tuple in the leafTuples variable.
- predictWeightedLeaf(DataTuple) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
-
Returns the majority class for this node.(not so good name)
- predictWeightedOOB(DataTuple) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- predictWeightedOOBAndGetProximities(DataTuple) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
-
The same as predict weighted OOB, but also calculates random forest proximities
- predictWeightedOOBClassification(DataTuple) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- predictWeightedOOBRegressionHMC(DataTuple) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- predictWeightedOpt(DataTuple) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- predictWeightedRegression(RegressionStat, DataTuple) - Method in class si.ijs.kt.clus.ext.ensemble.ClusBoostingForest
- predictWeightedSLS(DataTuple) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- predictWeightedStandard(DataTuple) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- predictWeightedStandardAndGetProximities(DataTuple) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
-
The same as predict weighted standard, but also calculates random forest proximities
- predictWeightedStandardSubspaceAveraging(DataTuple) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
-
Used for ROS ensembles
- predictWeightedStandardSubspaceAveragingOpt(DataTuple) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
-
Used for OPTIMIZED ROS ensembles
- predictWithRule(int, int, int) - Method in class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
-
Returns the real prediction when this rule is used.
- prepare() - Method in class si.ijs.kt.clus.data.cols.attribute.ClusAttribute
- prepare() - Method in class si.ijs.kt.clus.data.cols.attribute.NumericAttribute
- preparePredictionsForNormalization() - Method in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
-
Prepare predictions for normalization, the predictions might have to be changed
- preproc(int, DataTuple) - Method in class si.ijs.kt.clus.data.rows.DataPreprocs
- preproc(int, DataTuple) - Method in interface si.ijs.kt.clus.data.rows.TuplePreproc
- preproc(int, DataTuple) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchyPreproc
- preprocess() - Method in class si.ijs.kt.clus.Clus
- preprocess(int) - Method in class si.ijs.kt.clus.model.test.NodeTest
-
Special things
- preprocess(int) - Method in class si.ijs.kt.clus.model.test.NominalTest
- preprocess(int, DataPreprocs) - Method in class si.ijs.kt.clus.data.ClusData
- preprocess(int, DataPreprocs) - Method in class si.ijs.kt.clus.data.rows.RowData
- preprocess(ClusData) - Method in class si.ijs.kt.clus.Clus
- preprocNodes(OptXValNode, OptXValInduce) - Method in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- preprocSingle(DataTuple) - Method in class si.ijs.kt.clus.data.rows.DataPreprocs
- preprocSingle(DataTuple) - Method in interface si.ijs.kt.clus.data.rows.TuplePreproc
- preprocSingle(DataTuple) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchyPreproc
- preprocSingle(RowData) - Method in class si.ijs.kt.clus.Clus
- preprocTuple(DataTuple) - Method in class si.ijs.kt.clus.data.rows.TupleIterator
- prevcr - Variable in class si.ijs.kt.clus.util.jeans.util.MTokenizer
- previousSumW - Variable in class si.ijs.kt.clus.statistic.ClassificationStat
- previousSumWR - Variable in class si.ijs.kt.clus.statistic.ClassificationStat
- previousSumWX - Variable in class si.ijs.kt.clus.statistic.ClassificationStat
- previousSumWXR - Variable in class si.ijs.kt.clus.statistic.ClassificationStat
- previousSumWXX - Variable in class si.ijs.kt.clus.statistic.ClassificationStat
- previousSumWXXR - Variable in class si.ijs.kt.clus.statistic.ClassificationStat
- previousSumX - Variable in class si.ijs.kt.clus.statistic.ClassificationStat
- previousSumX2 - Variable in class si.ijs.kt.clus.statistic.ClassificationStat
- previousSumX2R - Variable in class si.ijs.kt.clus.statistic.ClassificationStat
- previousSumXR - Variable in class si.ijs.kt.clus.statistic.ClassificationStat
- print() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeam
- print() - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustive
- print() - Method in class si.ijs.kt.clus.selection.XValGroup
- print() - Method in class si.ijs.kt.clus.util.jeans.util.array.StringTable
- print(int[]) - Static method in class si.ijs.kt.clus.util.jeans.util.array.MyIntArray
- print(int, PrintWriter, double[], double[]) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- print(PrintWriter) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- print(PrintWriter, double[]) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- print(PrintWriter, double[], double[]) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- print(PrintWriter, int) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeam
- print(PrintWriter, int) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustive
- print(PrintWriter, NumberFormat, int) - Method in class si.ijs.kt.clus.util.jeans.math.matrix.MMatrix
- print(String) - Method in class si.ijs.kt.clus.main.ClusOutput
- printAlphaValues() - Method in class si.ijs.kt.clus.heuristic.EncodingCost
- printArray(double[]) - Static method in class si.ijs.kt.clus.ext.semisupervised.Helper
- printArray(PrintWriter, double[], double[], NumberFormat) - Static method in class si.ijs.kt.clus.util.format.ClusFormat
- printArray(PrintWriter, double[], NumberFormat) - Static method in class si.ijs.kt.clus.util.format.ClusFormat
- printArray(ArrayList, StringBuffer) - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesSignificantChangeTesterXVAL
- printArray(DoublesPair[]) - Static method in class si.ijs.kt.clus.ext.semisupervised.Helper
-
Prints array
- printBeamStats(int) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- printBeamStats(int) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- printCandidates() - Method in class si.ijs.kt.clus.ext.optiontree.FindBestTests
- printDebug() - Method in class si.ijs.kt.clus.selection.XValRandomSelection
- printDebug() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- printDebug() - Method in class si.ijs.kt.clus.statistic.RegressionStat
- printDepth() - Method in class si.ijs.kt.clus.ext.hierarchicalmtr.ClusHMTRHierarchy
- printDistribution(PrintWriter) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- printDistribution(PrintWriter) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- printDistribution(PrintWriter) - Method in class si.ijs.kt.clus.statistic.CombStat
- printDistribution(PrintWriter) - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- printDistribution(PrintWriter) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- printDistributionRec(PrintWriter, ClassTerm) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- printDuration() - Method in class si.ijs.kt.clus.heuristic.EncodingCost
- printExtraError(ClusModelInfoList, int, PrintWriter) - Static method in class si.ijs.kt.clus.error.common.ClusErrorList
- printForestToPython(SettingsOutput.PythonModelType) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
-
Prints the trees of the forest into a python file.
- printGPL() - Static method in class si.ijs.kt.clus.util.ClusMisc
- printGradientsToFile(int, PrintWriter) - Method in class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
-
Print gradients to output file.
- printHeader(boolean) - Static method in class si.ijs.kt.clus.util.ClusMisc
- printHierarchy() - Method in class si.ijs.kt.clus.ext.hierarchicalmtr.ClusHMTRHierarchy
- printHierarchyTree() - Method in class si.ijs.kt.clus.ext.hierarchicalmtr.ClusHMTRHierarchy
- printHierarchyTree(ClusHMTRNode) - Method in class si.ijs.kt.clus.ext.hierarchicalmtr.ClusHMTRHierarchy
- printIDs(String) - Method in class si.ijs.kt.clus.data.rows.RowData
- printInfo() - Method in class si.ijs.kt.clus.algo.ClusInductionAlgorithmType
- printInfo() - Method in class si.ijs.kt.clus.algo.rules.ClusRuleClassifier
- printInfo() - Method in class si.ijs.kt.clus.algo.rules.tune.FIREROSTune
- printInfo() - Method in class si.ijs.kt.clus.algo.tdidt.ClusDecisionTree
- printInfo() - Method in class si.ijs.kt.clus.algo.tdidt.ClusSITDecisionTree
- printInfo() - Method in class si.ijs.kt.clus.algo.tdidt.tune.CDTTuneFTest
- printInfo() - Method in class si.ijs.kt.clus.algo.tdidt.tune.CDTuneSizeConstrPruning
- printInfo() - Method in class si.ijs.kt.clus.data.ClusSchema
- printInfo() - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleClassifier
- printInfo() - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionTree
- printInfo() - Method in class si.ijs.kt.clus.ext.semisupervised.ClusSemiSupervisedClassifier
- printInfo(double, double, double, ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristicEfficient
- printInstanceLabels(ClusNode, RowData) - Method in class si.ijs.kt.clus.pruning.EncodingCostPruning
- printInt(int, int) - Static method in class si.ijs.kt.clus.util.jeans.util.StringUtils
- println() - Method in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- println(String) - Method in class si.ijs.kt.clus.model.processor.PredictionWriter
- printMatrixTeX() - Method in class si.ijs.kt.clus.error.CorrelationMatrixComputer
- printMessage(String, int, int) - Static method in class si.ijs.kt.clus.ext.featureRanking.relief.ClusReliefFeatureRanking
-
Prints the message if verbose level in the settings file is at the desired verbose level or higher.
- printModel() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- printModel(PrintWriter) - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageTreeModel
- printModel(PrintWriter) - Method in class si.ijs.kt.clus.algo.kNN.KnnModel
- printModel(PrintWriter) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- printModel(PrintWriter) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- printModel(PrintWriter) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
-
Printing the tree ?
- printModel(PrintWriter) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- printModel(PrintWriter) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ReliefModel
- printModel(PrintWriter) - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- printModel(PrintWriter) - Method in class si.ijs.kt.clus.ext.optiontree.ClusSplitNode
-
Printing the tree ?
- printModel(PrintWriter) - Method in interface si.ijs.kt.clus.model.ClusModel
- printModel(PrintWriter, StatisticPrintInfo) - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageTreeModel
- printModel(PrintWriter, StatisticPrintInfo) - Method in class si.ijs.kt.clus.algo.kNN.KnnModel
- printModel(PrintWriter, StatisticPrintInfo) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- printModel(PrintWriter, StatisticPrintInfo) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleLinearTerm
- printModel(PrintWriter, StatisticPrintInfo) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- printModel(PrintWriter, StatisticPrintInfo) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- printModel(PrintWriter, StatisticPrintInfo) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- printModel(PrintWriter, StatisticPrintInfo) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ReliefModel
- printModel(PrintWriter, StatisticPrintInfo) - Method in class si.ijs.kt.clus.ext.ilevelc.COPKMeansModel
- printModel(PrintWriter, StatisticPrintInfo) - Method in class si.ijs.kt.clus.ext.ilevelc.SimpleClusterModel
- printModel(PrintWriter, StatisticPrintInfo) - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- printModel(PrintWriter, StatisticPrintInfo) - Method in class si.ijs.kt.clus.ext.optiontree.ClusSplitNode
- printModel(PrintWriter, StatisticPrintInfo) - Method in interface si.ijs.kt.clus.model.ClusModel
- printModelAndExamples(PrintWriter, StatisticPrintInfo, ClusSchema) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- printModelAndExamples(PrintWriter, StatisticPrintInfo, RowData) - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageTreeModel
- printModelAndExamples(PrintWriter, StatisticPrintInfo, RowData) - Method in class si.ijs.kt.clus.algo.kNN.KnnModel
- printModelAndExamples(PrintWriter, StatisticPrintInfo, RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- printModelAndExamples(PrintWriter, StatisticPrintInfo, RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- printModelAndExamples(PrintWriter, StatisticPrintInfo, RowData) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- printModelAndExamples(PrintWriter, StatisticPrintInfo, RowData) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- printModelAndExamples(PrintWriter, StatisticPrintInfo, RowData) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ReliefModel
- printModelAndExamples(PrintWriter, StatisticPrintInfo, RowData) - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- printModelAndExamples(PrintWriter, StatisticPrintInfo, RowData) - Method in class si.ijs.kt.clus.ext.optiontree.ClusSplitNode
- printModelAndExamples(PrintWriter, StatisticPrintInfo, RowData) - Method in interface si.ijs.kt.clus.model.ClusModel
- printModelNames() - Method in class si.ijs.kt.clus.model.io.ClusModelCollectionIO
- printModelTests(PrintWriter) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- printModelToPythonScript(PrintWriter, HashMap<String, Integer>) - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageTreeModel
- printModelToPythonScript(PrintWriter, HashMap<String, Integer>) - Method in class si.ijs.kt.clus.algo.kNN.KnnModel
- printModelToPythonScript(PrintWriter, HashMap<String, Integer>) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- printModelToPythonScript(PrintWriter, HashMap<String, Integer>) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- printModelToPythonScript(PrintWriter, HashMap<String, Integer>) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- printModelToPythonScript(PrintWriter, HashMap<String, Integer>) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- printModelToPythonScript(PrintWriter, HashMap<String, Integer>) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ReliefModel
- printModelToPythonScript(PrintWriter, HashMap<String, Integer>) - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- printModelToPythonScript(PrintWriter, HashMap<String, Integer>) - Method in class si.ijs.kt.clus.ext.optiontree.ClusSplitNode
- printModelToPythonScript(PrintWriter, HashMap<String, Integer>) - Method in interface si.ijs.kt.clus.model.ClusModel
- printModelToPythonScript(PrintWriter, HashMap<String, Integer>, String) - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageTreeModel
- printModelToPythonScript(PrintWriter, HashMap<String, Integer>, String) - Method in class si.ijs.kt.clus.algo.kNN.KnnModel
- printModelToPythonScript(PrintWriter, HashMap<String, Integer>, String) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- printModelToPythonScript(PrintWriter, HashMap<String, Integer>, String) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- printModelToPythonScript(PrintWriter, HashMap<String, Integer>, String) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- printModelToPythonScript(PrintWriter, HashMap<String, Integer>, String) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- printModelToPythonScript(PrintWriter, HashMap<String, Integer>, String) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ReliefModel
- printModelToPythonScript(PrintWriter, HashMap<String, Integer>, String) - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- printModelToPythonScript(PrintWriter, HashMap<String, Integer>, String) - Method in class si.ijs.kt.clus.ext.optiontree.ClusSplitNode
- printModelToPythonScript(PrintWriter, HashMap<String, Integer>, String) - Method in interface si.ijs.kt.clus.model.ClusModel
- printModelToQuery(PrintWriter, ClusRun, int, int, boolean) - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageTreeModel
- printModelToQuery(PrintWriter, ClusRun, int, int, boolean) - Method in class si.ijs.kt.clus.algo.kNN.KnnModel
- printModelToQuery(PrintWriter, ClusRun, int, int, boolean) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- printModelToQuery(PrintWriter, ClusRun, int, int, boolean) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- printModelToQuery(PrintWriter, ClusRun, int, int, boolean) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- printModelToQuery(PrintWriter, ClusRun, int, int, boolean) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- printModelToQuery(PrintWriter, ClusRun, int, int, boolean) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ReliefModel
- printModelToQuery(PrintWriter, ClusRun, int, int, boolean) - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- printModelToQuery(PrintWriter, ClusRun, int, int, boolean) - Method in class si.ijs.kt.clus.ext.optiontree.ClusSplitNode
- printModelToQuery(PrintWriter, ClusRun, int, int, boolean) - Method in interface si.ijs.kt.clus.model.ClusModel
- printMultiLabelThresholds(PrintWriter, int) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- printNodeAndChildren() - Method in class si.ijs.kt.clus.ext.hierarchicalmtr.ClusHMTRNode
- printNonZeroAccuracies(ClusNumberFormat, PrintWriter, ClassHierarchy) - Method in class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy
- printNonZeroAccuraciesRec(ClusNumberFormat, PrintWriter, ClassTerm, boolean[]) - Method in class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy
- printOneTree(PrintWriter, ClusNode, int, SettingsOutput.PythonModelType) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- printPaths(PrintWriter, String, String, RowData, OOBSelection, boolean) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- printPredictionsToFile(PrintWriter) - Method in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
-
Print predictions to output file.
- printPrototype(int, RowData) - Method in class si.ijs.kt.clus.algo.kNN.KNNStatistics
-
Deprecated.Prints the values of the idx'th prototype.
- printResults(ClusNumberFormat, PrintWriter, ClassHierarchy) - Method in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- printResultsRec(ClusNumberFormat, PrintWriter, ClassTerm, boolean[]) - Method in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- printStr(String, int) - Static method in class si.ijs.kt.clus.util.jeans.util.StringUtils
- printString(PrintWriter, int, String) - Method in class si.ijs.kt.clus.error.ContingencyTable
- printStrMax(String, int) - Static method in class si.ijs.kt.clus.util.jeans.util.StringUtils
- printTabs(PrintWriter, int) - Static method in class si.ijs.kt.clus.util.jeans.util.StringUtils
- printTestNode(String, int) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- printTestNode(String, int) - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- printTree() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- printTree() - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- printTree() - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- printTree(PrintWriter, String) - Method in class si.ijs.kt.clus.ext.optxval.OptXValNode
- printTree(PrintWriter, StatisticPrintInfo, String) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- printTree(PrintWriter, StatisticPrintInfo, String) - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- printTree(PrintWriter, StatisticPrintInfo, String, RowData) - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- printTree(PrintWriter, StatisticPrintInfo, String, RowData) - Method in class si.ijs.kt.clus.ext.optiontree.ClusSplitNode
- printTree(PrintWriter, StatisticPrintInfo, String, RowData) - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- printTree(PrintWriter, StatisticPrintInfo, String, RowData, boolean) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- printTreeInDatabase(PrintWriter, String[], int[], int, String) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- printTreeInDatabase(PrintWriter, String[], int[], int, String) - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- printTreeInDatabase(PrintWriter, String[], int[], int, String) - Method in class si.ijs.kt.clus.ext.optiontree.ClusSplitNode
- printTreeInDatabase(PrintWriter, String[], int[], int, String) - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- printTreeToPythonScript(PrintWriter, String) - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- printTreeToPythonScript(PrintWriter, String, HashMap<String, Integer>) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- printTreeToPythonScriptIterative(PrintWriter, String, HashMap<String, Integer>) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
-
The iterative version of the method for printing Python code.
- printTreeToPythonTreeObject(PrintWriter, HashMap<String, Integer>, String) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- printTrueValuesToFile(PrintWriter) - Method in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
-
Print true values to output file.
- printVotes() - Method in class si.ijs.kt.clus.model.processor.ClusEnsemblePredictionWriter
- printWeights() - Method in class si.ijs.kt.clus.ext.hierarchicalmtr.ClusHMTRHierarchy
- ProbabilityDistribution - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleVotingType
- process(String[]) - Method in class si.ijs.kt.clus.util.jeans.util.cmdline.CMDLineArgs
- process(CMDLineArgs) - Method in class si.ijs.kt.clus.main.settings.Settings
- processAttribute(ClassesAttrType, RowData) - Method in class si.ijs.kt.clus.distance.primitive.relief.HierarchicalMultiLabelDistance
- processModels(ClusRun) - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageNodeWiseModels
- processs(MyArray, MyArray, MyArray, OptXValBinTree) - Static method in class si.ijs.kt.clus.ext.optxval.OptXValBinTree
- Protein - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsPhylogeny.PhylogenySequence
- prototypeDifference(CombStat) - Method in class si.ijs.kt.clus.statistic.CombStat
-
Calculates the difference
- prototypeNom(int) - Method in class si.ijs.kt.clus.statistic.CombStat
-
Returns the prototype of a nominal attribute.
- prototypeNum(int) - Method in class si.ijs.kt.clus.statistic.CombStat
-
Returns the prototype of a numeric attribute.
- prune(int) - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageTreeModel
- prune(int) - Method in class si.ijs.kt.clus.algo.kNN.KnnModel
- prune(int) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- prune(int) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- prune(int) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- prune(int) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- prune(int) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ReliefModel
- prune(int) - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- prune(int) - Method in class si.ijs.kt.clus.ext.optiontree.ClusSplitNode
- prune(int) - Method in interface si.ijs.kt.clus.model.ClusModel
- prune(int, ClusNode) - Method in class si.ijs.kt.clus.ext.hierarchical.HierClassTresholdPruner
- prune(int, ClusNode) - Method in class si.ijs.kt.clus.pruning.CartPruning
- prune(int, ClusNode) - Method in class si.ijs.kt.clus.pruning.PruneTree
- prune(int, ClusNode) - Method in class si.ijs.kt.clus.pruning.SizeConstraintPruning
- prune(ClusNode) - Method in class si.ijs.kt.clus.ext.hierarchical.HierClassTresholdPruner
- prune(ClusNode) - Method in class si.ijs.kt.clus.ext.hierarchical.HierRemoveInsigClasses
- prune(ClusNode) - Method in class si.ijs.kt.clus.pruning.BottomUpPruningVSB
- prune(ClusNode) - Method in class si.ijs.kt.clus.pruning.C45Pruner
- prune(ClusNode) - Method in class si.ijs.kt.clus.pruning.EncodingCostPruning
- prune(ClusNode) - Method in class si.ijs.kt.clus.pruning.M5Pruner
- prune(ClusNode) - Method in class si.ijs.kt.clus.pruning.M5PrunerMulti
- prune(ClusNode) - Method in class si.ijs.kt.clus.pruning.PruneTree
- prune(ClusNode) - Method in class si.ijs.kt.clus.pruning.SequencePruningVSB
- prune(ClusNode) - Method in class si.ijs.kt.clus.pruning.SizeConstraintPruning
- prune(ClusNode, RowData) - Method in class si.ijs.kt.clus.pruning.BottomUpPruningVSB
- PRUNE_INVALID - Static variable in interface si.ijs.kt.clus.model.ClusModel
- pruneAll(ClusRun) - Method in class si.ijs.kt.clus.algo.ClusInductionAlgorithmType
- pruneAll(ClusRun) - Method in class si.ijs.kt.clus.algo.kNN.KnnClassifier
- pruneAll(ClusRun) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleClassifier
- pruneAll(ClusRun) - Method in class si.ijs.kt.clus.algo.tdidt.ClusDecisionTree
- pruneAll(ClusRun) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- pruneAll(ClusRun) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleClassifier
- pruneAll(ClusRun) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- pruneAll(ClusRun) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.Relief
- pruneAll(ClusRun) - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionTree
- pruneAll(ClusRun) - Method in class si.ijs.kt.clus.ext.semisupervised.ClusSemiSupervisedClassifier
- pruneByTrainErr(ClusAttributeWeights) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- pruneC45Recursive(ClusNode, RowData) - Method in class si.ijs.kt.clus.pruning.C45Pruner
- Pruned - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsOutput.ShowModels
- PRUNED - Static variable in interface si.ijs.kt.clus.model.ClusModel
-
The type of model returned.
- pruneExampleList(RowData) - Method in class si.ijs.kt.clus.data.type.primitive.SparseNumericAttrType
-
Deprecated.
- pruneExecute(ClusNode, int) - Method in class si.ijs.kt.clus.pruning.SizeConstraintPruning
- pruneInitialize(ClusNode, int) - Method in class si.ijs.kt.clus.pruning.SizeConstraintPruning
- pruneInvalid() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- pruneMaxError(ClusNode, int) - Method in class si.ijs.kt.clus.pruning.SizeConstraintPruning
- pruneNonMarkedNodes(ClusNode) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSizeConstraints
- pruneRecursive(ClusNode) - Method in class si.ijs.kt.clus.pruning.M5Pruner
- pruneRecursive(ClusNode) - Method in class si.ijs.kt.clus.pruning.M5PrunerMulti
- pruneRecursive(ClusNode, double) - Method in class si.ijs.kt.clus.ext.hierarchical.HierClassTresholdPruner
- pruneSingle(ClusModel, ClusRun) - Method in class si.ijs.kt.clus.algo.ClusInductionAlgorithmType
- pruneSingle(ClusModel, ClusRun) - Method in class si.ijs.kt.clus.algo.kNN.KnnClassifier
- pruneSingle(ClusModel, ClusRun) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleClassifier
- pruneSingle(ClusModel, ClusRun) - Method in class si.ijs.kt.clus.algo.tdidt.ClusDecisionTree
- pruneSingle(ClusModel, ClusRun) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- pruneSingle(ClusModel, ClusRun) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleClassifier
- pruneSingle(ClusModel, ClusRun) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- pruneSingle(ClusModel, ClusRun) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.Relief
- pruneSingle(ClusModel, ClusRun) - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionTree
- pruneSingle(ClusModel, ClusRun) - Method in class si.ijs.kt.clus.ext.semisupervised.ClusSemiSupervisedClassifier
- pruneToSizeK(ClusNode, int) - Static method in class si.ijs.kt.clus.pruning.SizeConstraintPruning
- PruneTree - Class in si.ijs.kt.clus.pruning
- PruneTree() - Constructor for class si.ijs.kt.clus.pruning.PruneTree
- pruneUsingConstraints(ClusNode, int, double) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSizeConstraints
- push(int) - Method in class si.ijs.kt.clus.util.jeans.util.IntegerStack
- pushBack() - Method in class si.ijs.kt.clus.util.jeans.util.MSStringTokenizer
- pushbackchar - Variable in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- pushbackchar - Variable in class si.ijs.kt.clus.util.jeans.util.MStringTokenizer
- pushbackchar - Variable in class si.ijs.kt.clus.util.jeans.util.MTokenizer
- pushBackChar(int) - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- pushBackChar(int) - Method in class si.ijs.kt.clus.util.jeans.util.MStringTokenizer
- pushBackChar(int) - Method in class si.ijs.kt.clus.util.jeans.util.MTokenizer
- pushbacktoken - Variable in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- pushbacktoken - Variable in class si.ijs.kt.clus.util.jeans.util.MStringTokenizer
- pushbacktoken - Variable in class si.ijs.kt.clus.util.jeans.util.MTokenizer
- pushBackToken(String) - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- pushBackToken(String) - Method in class si.ijs.kt.clus.util.jeans.util.MStringTokenizer
- pushBackToken(String) - Method in class si.ijs.kt.clus.util.jeans.util.MTokenizer
- put1DArrayToOOBPredictions(DataTuple, double[]) - Method in class si.ijs.kt.clus.ext.ensemble.ClusOOBErrorEstimate
- put2DArrayToOOBPredictions(DataTuple, double[][]) - Method in class si.ijs.kt.clus.ext.ensemble.ClusOOBErrorEstimate
- putAttributeInfo(String, double[]) - Method in class si.ijs.kt.clus.ext.featureRanking.ClusFeatureRanking
- putAttributesInfos(HashMap<String, double[][]>) - Method in class si.ijs.kt.clus.ext.featureRanking.ClusFeatureRanking
- putAttributesInfos(HashMap<SettingsEnsemble.EnsembleRanking, HashMap<String, double[][]>>) - Method in class si.ijs.kt.clus.ext.featureRanking.ensemble.ClusEnsembleFeatureRankings
- pythonTreeFunctionDefinition(int) - Static method in class si.ijs.kt.clus.ext.ensemble.ClusForest
Q
- QDM - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTimeSeries.TimeSeriesDistanceMeasure
- QDM - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.TimeSeriesDistanceMeasure
- QDMTimeSeriesDist - Class in si.ijs.kt.clus.distance.primitive.timeseries
- QDMTimeSeriesDist(TimeSeriesAttrType) - Constructor for class si.ijs.kt.clus.distance.primitive.timeseries.QDMTimeSeriesDist
- Quadruple<T1,
T2, T3, T4> - Class in si.ijs.kt.clus.util.tuple -
Implements 4-Tuple.
- Quadruple(T1, T2, T3, T4) - Constructor for class si.ijs.kt.clus.util.tuple.Quadruple
- quickSort(Vector, int, int, MComparator) - Static method in class si.ijs.kt.clus.util.jeans.util.sort.MVectorSorter
- quickSort(Vector, MComparator) - Static method in class si.ijs.kt.clus.util.jeans.util.sort.MVectorSorter
- quickSort(MSortable, int, int) - Static method in class si.ijs.kt.clus.util.jeans.util.sort.MSorter
-
Deprecated.
R
- rad2deg(double) - Method in class si.ijs.kt.clus.heuristic.GISHeuristic
- rad2deg(double) - Method in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristicCompatibility
- randDepthWighExponentialDistribution(double, int) - Static method in class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
-
Return a maximum tree depth based on RulefFit (Friedman, Popescu.
- RANDOM_ALGO_INTERNAL - Static variable in class si.ijs.kt.clus.util.ClusRandom
- RANDOM_CREATE_DATA - Static variable in class si.ijs.kt.clus.util.ClusRandom
- RANDOM_ENSEMBLE_ROS - Static variable in class si.ijs.kt.clus.util.ClusRandom
-
Used for ensemble target subspacing
- RANDOM_ENSEMBLE_ROS_SUBSPACE_SIZE_SELECTION - Static variable in class si.ijs.kt.clus.util.ClusRandom
-
Used for ensemble target subspacing - poisson sampling of the mean
- RANDOM_EXTRATREE - Static variable in class si.ijs.kt.clus.util.ClusRandom
-
Used for random split-point selection for Extra-Trees Ensembles
- RANDOM_EXTRATREE - Static variable in class si.ijs.kt.clus.util.ClusRandomNonstatic
- RANDOM_GAUSSIAN - Static variable in class si.ijs.kt.clus.ext.semisupervised.confidence.RandomScore
- RANDOM_INT_RANFOR_TREE_DEPTH - Static variable in class si.ijs.kt.clus.util.ClusRandom
-
Used for random forest random tree depth, because RANDOM_ALGO_INTERNAL may already be used somewhere else for tree ensemble induce.
- RANDOM_INT_RANFOR_TREE_DEPTH - Static variable in class si.ijs.kt.clus.util.ClusRandomNonstatic
- RANDOM_PARAM_TUNE - Static variable in class si.ijs.kt.clus.util.ClusRandom
- RANDOM_SAMPLE - Static variable in class si.ijs.kt.clus.util.ClusRandom
-
Used for sampling in RowData
- RANDOM_SAMPLE - Static variable in class si.ijs.kt.clus.util.ClusRandomNonstatic
- RANDOM_SEED - Static variable in class si.ijs.kt.clus.util.ClusRandomNonstatic
- RANDOM_SELECTION - Static variable in class si.ijs.kt.clus.util.ClusRandom
- RANDOM_SELECTION - Static variable in class si.ijs.kt.clus.util.ClusRandomNonstatic
- RANDOM_TEST_DIR - Static variable in class si.ijs.kt.clus.util.ClusRandom
- RANDOM_UNIFORM - Static variable in class si.ijs.kt.clus.ext.semisupervised.confidence.RandomScore
- RandomForest - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.InitialRuleGeneratingMethod
- RandomForestWeighting - Class in si.ijs.kt.clus.algo.kNN.distance.attributeWeighting
- RandomForestWeighting(ClusRun, int) - Constructor for class si.ijs.kt.clus.algo.kNN.distance.attributeWeighting.RandomForestWeighting
- RandomGaussian - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLConfidenceMeasure
-
RandomGaussian - normally distribuited random scores
- RandomRuleSet - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.CoveringMethod
-
Evaluates rules in the context of complete rule set, separate rules are constructed randomly: unordered rules.
- RandomScore - Class in si.ijs.kt.clus.ext.semisupervised.confidence
-
Returns random numbers as reliability scores, two modes are possible: RANDOM_UNIFORM: random numbers are generated uniformly in [0,1] RANDOM_GAUSSIAN: random numbers are normally distribution in [0,1] with mean 0.5 and std.
- RandomScore(ClusStatManager, int) - Constructor for class si.ijs.kt.clus.ext.semisupervised.confidence.RandomScore
- RandomSelection - Class in si.ijs.kt.clus.selection
- RandomSelection(int, double) - Constructor for class si.ijs.kt.clus.selection.RandomSelection
- RandomSelection(int, double, int) - Constructor for class si.ijs.kt.clus.selection.RandomSelection
- RandomSelection(int, int) - Constructor for class si.ijs.kt.clus.selection.RandomSelection
- RandomSelection(int, int, int) - Constructor for class si.ijs.kt.clus.selection.RandomSelection
- RandomUniform - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLConfidenceMeasure
-
RandomUniform - uniformly distribuited random scores
- range(int) - Static method in class si.ijs.kt.clus.ext.featureRanking.relief.statistics.Steepness
- range(int, int) - Static method in class si.ijs.kt.clus.ext.featureRanking.relief.statistics.Steepness
- RankCorrelations - Variable in class si.ijs.kt.clus.error.SpearmanRankCorrelationPerExample
- rankFeatures(ClusNode, RowData) - Method in class si.ijs.kt.clus.ext.bestfirst.BestFirstInduce
-
Deprecated.
- rankFeatures(ClusNode, RowData, ClusRandomNonstatic) - Method in class si.ijs.kt.clus.algo.tdidt.DepthFirstInduce
-
Deprecated.
- Ranking - Class in si.ijs.kt.clus.ext.semisupervised.confidence.normalization
-
On the basis of the given per-target confidence scores, provides ranking based confidence scores: per-target scores are ranked, independently for each target
- Ranking - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLNormalization
-
ranks per target scores according to their reliability
- Ranking(int) - Constructor for class si.ijs.kt.clus.ext.semisupervised.confidence.normalization.Ranking
- RankingLoss - Class in si.ijs.kt.clus.error.mlc
- RankingLoss - Class in si.ijs.kt.clus.error.mlcForHmlc
- RankingLoss - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsMLC.MultiLabelMeasures
- RankingLoss() - Constructor for class si.ijs.kt.clus.error.mlcForHmlc.RankingLoss
- RankingLoss(ClusErrorList, NominalAttrType[]) - Constructor for class si.ijs.kt.clus.error.mlc.RankingLoss
- RDispersionAdt - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.Heuristic
- rDispersionAdtHeur() - Method in class si.ijs.kt.clus.statistic.CombStat
-
Weighted relative dispersion based heuristic - additive version Smaller values are better!
- RDispersionMlt - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.Heuristic
- rDispersionMltHeur() - Method in class si.ijs.kt.clus.statistic.CombStat
-
Weighted relative dispersion based heuristic - multiplicative version Smaller values are better!
- read() - Method in class si.ijs.kt.clus.util.jeans.util.MStringTokenizer
- read() - Method in class si.ijs.kt.clus.util.jeans.util.MTokenizer
- read(String, Settings) - Static method in class si.ijs.kt.clus.distance.complex.tuples.SSPDMatrix
- read(ClusReader, int) - Method in class si.ijs.kt.clus.data.cols.attribute.NominalAttribute
- read(ClusReader, int) - Method in class si.ijs.kt.clus.data.cols.attribute.NominalTarget
- read(ClusReader, int) - Method in class si.ijs.kt.clus.data.cols.attribute.NumericAttribute
- read(ClusReader, int) - Method in class si.ijs.kt.clus.data.cols.attribute.NumericTarget
- read(ClusReader, int) - Method in class si.ijs.kt.clus.data.cols.attribute.TimeSeriesAttribute
- read(ClusReader, int) - Method in class si.ijs.kt.clus.data.cols.attribute.TimeSeriesTarget
- read(ClusReader, int) - Method in class si.ijs.kt.clus.data.type.primitive.IndexAttrType.MyReader
- read(ClusReader, int) - Method in class si.ijs.kt.clus.util.io.DummySerializable
- read(ClusReader, DataTuple) - Method in class si.ijs.kt.clus.data.type.complex.SetAttrType.MySerializable
- read(ClusReader, DataTuple) - Method in class si.ijs.kt.clus.data.type.complex.TupleAttrType.MySerializable
- read(ClusReader, DataTuple) - Method in class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrType.MySerializable
- read(ClusReader, DataTuple) - Method in class si.ijs.kt.clus.data.type.hierarchies.FlatClassesAttrType.MySerializable
- read(ClusReader, DataTuple) - Method in class si.ijs.kt.clus.data.type.primitive.IndexAttrType.MyReader
- read(ClusReader, DataTuple) - Method in class si.ijs.kt.clus.data.type.primitive.IntegerAttrType.MySerializable
- read(ClusReader, DataTuple) - Method in class si.ijs.kt.clus.data.type.primitive.NominalAttrType.MySerializable
- read(ClusReader, DataTuple) - Method in class si.ijs.kt.clus.data.type.primitive.NumericAttrType.MySerializable
- read(ClusReader, DataTuple) - Method in class si.ijs.kt.clus.data.type.primitive.SparseNumericAttrType.MySerializable
- read(ClusReader, DataTuple) - Method in class si.ijs.kt.clus.data.type.primitive.StringAttrType.MySerializable
- read(ClusReader, DataTuple) - Method in class si.ijs.kt.clus.data.type.primitive.TimeSeriesAttrType.MySerializable
- read(ClusReader, DataTuple) - Method in class si.ijs.kt.clus.util.io.ClusSerializable
- read(ClusReader, DataTuple) - Method in class si.ijs.kt.clus.util.io.DummySerializable
- read(Settings) - Method in class si.ijs.kt.clus.data.io.ARFFFile
- read(Settings, ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- read(MStreamTokenizer, char, char) - Method in class si.ijs.kt.clus.util.jeans.util.array.MDoubleArray
- read(MStreamTokenizer, char, char) - Method in class si.ijs.kt.clus.util.jeans.util.array.MIntArray
- readArff(String) - Static method in class si.ijs.kt.clus.data.io.ARFFFile
- readChar() - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- readChar() - Method in class si.ijs.kt.clus.util.jeans.util.MStringTokenizer
- readChar() - Method in class si.ijs.kt.clus.util.jeans.util.MTokenizer
- readChar(char) - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- readChar(char) - Method in class si.ijs.kt.clus.util.jeans.util.MStringTokenizer
- readChar(char) - Method in class si.ijs.kt.clus.util.jeans.util.MTokenizer
- readChar(String) - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- readChar(String) - Method in class si.ijs.kt.clus.util.jeans.util.MStringTokenizer
- readChar(String) - Method in class si.ijs.kt.clus.util.jeans.util.MTokenizer
- readCharNoPushback() - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- readCharTokens(String, MStringTokenizer) - Method in class si.ijs.kt.clus.model.io.ClusTreeReader
- readData(String, ClusSchema) - Static method in class si.ijs.kt.clus.data.rows.RowData
- readData(ClusReader, ClusSchema) - Method in class si.ijs.kt.clus.data.io.ClusView
- readData(ClusReader, ClusSchema, boolean) - Method in class si.ijs.kt.clus.data.io.ClusView
- readDataHMTR(ClusReader, ClusSchema, ClusHMTRHierarchy, Settings) - Method in class si.ijs.kt.clus.data.io.ClusView
- readDataHMTRTuple(ClusReader, ClusSchema, boolean, ClusHMTRHierarchy, String) - Method in class si.ijs.kt.clus.data.io.ClusView
- readDataHMTRTuple(ClusReader, ClusSchema, ClusHMTRHierarchy, String) - Method in class si.ijs.kt.clus.data.io.ClusView
- readDataHMTRTupleFirst(ClusReader, ClusSchema, ClusHMTRHierarchy, String) - Method in class si.ijs.kt.clus.data.io.ClusView
- readDataHMTRTupleNext(ClusReader, ClusSchema, ClusHMTRHierarchy, String) - Method in class si.ijs.kt.clus.data.io.ClusView
- readDataTuple(ClusReader, ClusSchema) - Method in class si.ijs.kt.clus.data.io.ClusView
- readDataTuple(ClusReader, ClusSchema, boolean) - Method in class si.ijs.kt.clus.data.io.ClusView
- readDataTupleFirst(ClusReader, ClusSchema) - Method in class si.ijs.kt.clus.data.io.ClusView
- readDataTupleNext(ClusReader, ClusSchema) - Method in class si.ijs.kt.clus.data.io.ClusView
- readEol() - Method in class si.ijs.kt.clus.data.io.ClusReader
- reader - Variable in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- readFloat() - Method in class si.ijs.kt.clus.data.io.ClusReader
- readFloat() - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- readFloat() - Method in class si.ijs.kt.clus.util.jeans.util.MStringTokenizer
- readFloat() - Method in class si.ijs.kt.clus.util.jeans.util.MTokenizer
- readFoldsFile(String, int) - Static method in class si.ijs.kt.clus.selection.XValDataSelection
- readFromFile(String, ClassHierarchy) - Static method in class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- readHierarchy(String) - Method in class si.ijs.kt.clus.ext.hierarchical.HierIO
- readHMTRAttribute(ClusReader, DataTuple, ClusSchema, ClusHMTRHierarchy, String) - Method in class si.ijs.kt.clus.data.type.primitive.NumericAttrType.MySerializable
- readHMTRAttribute(ClusReader, DataTuple, ClusSchema, ClusHMTRHierarchy, String) - Method in class si.ijs.kt.clus.util.io.ClusSerializable
- readingLock() - Method in class si.ijs.kt.clus.ext.ensemble.ClusReadWriteLock
- readingUnlock() - Method in class si.ijs.kt.clus.ext.ensemble.ClusReadWriteLock
- readInteger() - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- readInteger() - Method in class si.ijs.kt.clus.util.jeans.util.MStringTokenizer
- readInteger() - Method in class si.ijs.kt.clus.util.jeans.util.MTokenizer
- readIntIndex() - Method in class si.ijs.kt.clus.data.io.ClusReader
- readLine() - Method in class si.ijs.kt.clus.model.io.ClusTreeReader
- readMatrixFromFile(RowData) - Method in class si.ijs.kt.clus.heuristic.GISHeuristic
- readMatrixFromFile(RowData) - Method in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristicCompatibility
- readMultiValue(boolean[], NominalAttrType, MStringTokenizer) - Method in class si.ijs.kt.clus.model.io.ClusTreeReader
- readName() - Method in class si.ijs.kt.clus.data.io.ClusReader
- readNextChild(ClusNode, String[], boolean[]) - Method in class si.ijs.kt.clus.model.io.ClusTreeReader
- readNextEntry(MStreamTokenizer) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileArray
- readNextEntry(MStreamTokenizer) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominal
- readNextEntry(MStreamTokenizer) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- readNextEntry(MStreamTokenizer) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector
- readNominalTest(ClusAttrType, ClusNode, MStringTokenizer) - Method in class si.ijs.kt.clus.model.io.ClusTreeReader
- readNoSpace() - Method in class si.ijs.kt.clus.data.io.ClusReader
- readNumericTest(ClusAttrType, ClusNode, MStringTokenizer) - Method in class si.ijs.kt.clus.model.io.ClusTreeReader
- readSet() - Method in class si.ijs.kt.clus.data.io.ClusReader
- readSignificantChar() - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- readSignificantChar() - Method in class si.ijs.kt.clus.util.jeans.util.MStringTokenizer
- readSignificantChar() - Method in class si.ijs.kt.clus.util.jeans.util.MTokenizer
- readSingleValue(boolean[], NominalAttrType, MStringTokenizer) - Method in class si.ijs.kt.clus.model.io.ClusTreeReader
- readStream(InputStream) - Static method in class si.ijs.kt.clus.util.ClusUtil
- readString() - Method in class si.ijs.kt.clus.data.io.ClusReader
- readTest(ClusAttrType, ClusNode, MStringTokenizer) - Method in class si.ijs.kt.clus.model.io.ClusTreeReader
- readTextFile(String) - Static method in class si.ijs.kt.clus.util.jeans.util.FileUtil
-
Reads a Text File and Returns a list of all the Lines of Text.
- readTillEol() - Method in class si.ijs.kt.clus.data.io.ClusReader
- readTillEol() - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- readTillEol() - Method in class si.ijs.kt.clus.util.jeans.util.MTokenizer
- readTimeSeries() - Method in class si.ijs.kt.clus.data.io.ClusReader
- readToken() - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- readToken() - Method in class si.ijs.kt.clus.util.jeans.util.MStringTokenizer
- readToken() - Method in class si.ijs.kt.clus.util.jeans.util.MTokenizer
- readTree(String) - Method in class si.ijs.kt.clus.model.io.ClusTreeReader
- readTree(String, LineNumberReader) - Method in class si.ijs.kt.clus.model.io.ClusTreeReader
- readTuple() - Method in class si.ijs.kt.clus.data.io.ClusReader
- readTuple() - Method in class si.ijs.kt.clus.data.rows.FileTupleIterator
- readTuple() - Method in class si.ijs.kt.clus.data.rows.MemoryTupleIterator
- readTuple() - Method in class si.ijs.kt.clus.data.rows.TupleIterator
- readWildCardChild(ClusNode, boolean[]) - Method in class si.ijs.kt.clus.model.io.ClusTreeReader
- REAL_PRED - Static variable in class si.ijs.kt.clus.error.ContingencyTable
- realcost - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSizeConstraintInfo
- Recall - Class in si.ijs.kt.clus.error.sets
- Recall(ClusErrorList, SetAttrType[], ClusAttributeWeights, boolean, ClusDistance) - Constructor for class si.ijs.kt.clus.error.sets.Recall
- Recall(ClusErrorList, SetAttrType[], ClusAttributeWeights, ClusDistance) - Constructor for class si.ijs.kt.clus.error.sets.Recall
- Recall(ClusErrorList, SetAttrType[], ClusDistance) - Constructor for class si.ijs.kt.clus.error.sets.Recall
- recreateInduce(CMDLineArgs, ClusInductionAlgorithmType, ClusSchema, RowData) - Method in class si.ijs.kt.clus.Clus
-
Method for recreating ClusInduce and most other instance variables Useful for running Clus on different data sets with a similar schema
- recursiveFind(File, String) - Static method in class si.ijs.kt.clus.util.jeans.util.FileUtil
- recursiveFindAll(File, String, ArrayList) - Static method in class si.ijs.kt.clus.util.jeans.util.FileUtil
- recursiveInitialize(ClusNode, ErrorVisitor) - Static method in class si.ijs.kt.clus.pruning.TreeErrorComputer
- ReducedError - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.Heuristic
- ReducedErrorHeuristic - Class in si.ijs.kt.clus.heuristic
- ReducedErrorHeuristic(ClusStatistic, Settings) - Constructor for class si.ijs.kt.clus.heuristic.ReducedErrorHeuristic
- ReducedErrorVSB - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.PruningMethod
- refineBeam(ClusBeam) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
- refineBeam(ClusBeam) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleInduce
- refineBeam(ClusBeam, ClusRun) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- refineBeam(ClusBeam, ClusRun) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusFastBeamSearch
- refineBeamExhaustive(ClusBeam, ClusRun) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- refineEachLeaf(ClusNode, ClusBeamModel, ClusBeam, ClusAttrType[]) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- refineEachLeaf(ClusNode, ClusBeamModel, ClusBeam, ClusAttrType[]) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- refineEachLeafDF(ClusNode, ClusBeamModel, ClusBeam, ClusAttrType[], ClusRun) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveDFSearch
- refineGivenLeaf(ClusNode, ClusBeamModel, ClusBeam, ClusAttrType[]) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- refineGivenLeaf(ClusNode, ClusBeamModel, ClusBeam, ClusAttrType[]) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusFastBeamSearch
- refineGivenLeafExhaustive(ClusNode, ClusBeamModel, ClusBeam, ClusAttrType[]) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- refineGivenLeafExhaustiveDF(ClusNode, ClusBeamModel, ClusBeam, ClusAttrType[], ClusRun) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveDFSearch
- refineGraph(ArrayList<SingleStatList>, ClusRun[], SizeConstraintPruning[], int, ClusSummary) - Method in class si.ijs.kt.clus.algo.tdidt.tune.CDTuneSizeConstrPruning
- refineModel(ClusBeamModel, ClusBeam, int) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
- refineModel(ClusBeamModel, ClusBeam, int) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleInduce
- refineModel(ClusBeamModel, ClusBeam, ClusRun) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- refineModel(ClusBeamModel, ClusBeam, ClusRun) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusFastBeamSearch
- refineModel(ClusBeamModel, ClusBeam, ClusRun) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveDFSearch
- refineModel(ClusBeamModel, ClusBeam, ClusRun) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- registerConstant(Class<?>, String) - Method in class si.ijs.kt.clus.util.cloner.Cloner
- registerConstant(Object) - Method in class si.ijs.kt.clus.util.cloner.Cloner
- registerFastCloner(Class<?>, IFastCloner) - Method in class si.ijs.kt.clus.util.cloner.Cloner
- registerFastCloners() - Method in class si.ijs.kt.clus.util.cloner.Cloner
-
registers a std set of fast cloners.
- registerImmutable(Class<?>...) - Method in class si.ijs.kt.clus.util.cloner.Cloner
-
registers an immutable class.
- registerKnownConstants() - Method in class si.ijs.kt.clus.util.cloner.Cloner
- registerKnownJdkImmutableClasses() - Method in class si.ijs.kt.clus.util.cloner.Cloner
-
registers some known JDK immutable classes.
- registerStaticFields(Class<?>...) - Method in class si.ijs.kt.clus.util.cloner.Cloner
-
registers all static fields of these classes.
- REGRESSION - Enum constant in enum class si.ijs.kt.clus.main.ClusStatManager.Mode
- REGRESSION - Enum constant in enum class si.ijs.kt.clus.main.ClusStatManager.TargetType
- RegressionStat - Class in si.ijs.kt.clus.statistic
- RegressionStat(Settings, NumericAttrType[]) - Constructor for class si.ijs.kt.clus.statistic.RegressionStat
- RegressionStat(Settings, NumericAttrType[], boolean) - Constructor for class si.ijs.kt.clus.statistic.RegressionStat
- RegressionStat(Settings, NumericAttrType[], ClusHMTRHierarchy) - Constructor for class si.ijs.kt.clus.statistic.RegressionStat
- RegressionStat(Settings, NumericAttrType[], ClusHMTRHierarchy, boolean) - Constructor for class si.ijs.kt.clus.statistic.RegressionStat
- RegressionStatBase - Class in si.ijs.kt.clus.statistic
- RegressionStatBase(Settings, NumericAttrType[]) - Constructor for class si.ijs.kt.clus.statistic.RegressionStatBase
- RegressionStatBase(Settings, NumericAttrType[], boolean) - Constructor for class si.ijs.kt.clus.statistic.RegressionStatBase
- RegressionStatBinaryNomiss - Class in si.ijs.kt.clus.statistic
- RegressionStatBinaryNomiss(Settings, NumericAttrType[]) - Constructor for class si.ijs.kt.clus.statistic.RegressionStatBinaryNomiss
- RegressionStatBinaryNomiss(Settings, NumericAttrType[], boolean) - Constructor for class si.ijs.kt.clus.statistic.RegressionStatBinaryNomiss
- REGULAR_TREE - Static variable in class si.ijs.kt.clus.algo.ClusInductionAlgorithmType
- regularization(ArrayList<Double>) - Method in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
-
Regularization penalty for the optimization function.
- reInitClusteringStat(RowData) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- reInitTargetStat(RowData) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- RELATIVE_ERROR - Static variable in class si.ijs.kt.clus.error.common.ClusError
- RELATIVE_POSTFIX - Static variable in class si.ijs.kt.clus.error.common.ClusError
- RelativeError - Class in si.ijs.kt.clus.error
- RelativeError(ClusErrorList, NumericAttrType[]) - Constructor for class si.ijs.kt.clus.error.RelativeError
- RelativeError(ClusErrorList, NumericAttrType[], String) - Constructor for class si.ijs.kt.clus.error.RelativeError
- RelativeError(ClusErrorList, NumericAttrType[], ClusAttributeWeights) - Constructor for class si.ijs.kt.clus.error.RelativeError
- RelativeError(ClusErrorList, NumericAttrType[], ClusAttributeWeights, boolean) - Constructor for class si.ijs.kt.clus.error.RelativeError
- RelativeError(ClusErrorList, NumericAttrType[], ClusAttributeWeights, boolean, String) - Constructor for class si.ijs.kt.clus.error.RelativeError
- relativePath(String, String) - Static method in class si.ijs.kt.clus.util.jeans.util.FileUtil
- Relief - Class in si.ijs.kt.clus.ext.featureRanking.relief
- Relief(Clus) - Constructor for class si.ijs.kt.clus.ext.featureRanking.relief.Relief
- RELIEF_ITERATIONS_DEFAULT - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsRelief
- RELIEF_NEIGHBOUR_DEFAULT - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsRelief
-
Section: Relief *
- ReliefInduce - Class in si.ijs.kt.clus.ext.featureRanking.relief
- ReliefInduce(ClusInductionAlgorithm) - Constructor for class si.ijs.kt.clus.ext.featureRanking.relief.ReliefInduce
- ReliefInduce(ClusSchema, Settings) - Constructor for class si.ijs.kt.clus.ext.featureRanking.relief.ReliefInduce
- ReliefModel - Class in si.ijs.kt.clus.ext.featureRanking.relief
- ReliefModel(int[], int[], boolean, double, RowData) - Constructor for class si.ijs.kt.clus.ext.featureRanking.relief.ReliefModel
- rememberMinMax(NominalAttrType, RowData) - Method in class si.ijs.kt.clus.algo.split.FindBestTest
- remove(int, int[]) - Static method in class si.ijs.kt.clus.util.jeans.util.array.MyIntArray
- remove(ClusRule) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
Remove given rule from this rule set
- removeAllChildren() - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- removeAllChildren() - Method in class si.ijs.kt.clus.util.jeans.tree.MyNode
- removeAllElements() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileArray
- removeAllElements() - Method in class si.ijs.kt.clus.util.jeans.util.array.MyIntArray
- removeAllElements() - Method in class si.ijs.kt.clus.util.jeans.util.MyArray
- removeChar(String, char) - Static method in class si.ijs.kt.clus.util.jeans.util.StringUtils
- removeChild(int) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- removeChild(int) - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- removeChild(int) - Method in class si.ijs.kt.clus.util.jeans.tree.MyNode
- removeChild(MyNode) - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- removeChild(Node) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- removeChild(Node) - Method in class si.ijs.kt.clus.util.jeans.tree.BinaryNode
- removeChild(Node) - Method in class si.ijs.kt.clus.util.jeans.tree.MyNode
- removeChild(Node) - Method in interface si.ijs.kt.clus.util.jeans.tree.Node
- removeChild(Node) - Method in class si.ijs.kt.clus.util.jeans.tree.SimpleNode
- removeChild(Node) - Method in class si.ijs.kt.clus.util.jeans.tree.VisitableNode
- removeCovered(RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- removeCoveredEnough(RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
-
Removes examples that have been covered by enough rules, i.e., rules that have weights below the threshold.
- removeDataFromRules() - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
Removes the data tuples from rules and from m_DefaultData array.
- removeDataTuples() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
-
Removes the data tuples from the m_Data array
- removeElement(Object) - Method in class si.ijs.kt.clus.util.jeans.util.MyArray
- removeElementAt(int) - Method in class si.ijs.kt.clus.util.jeans.util.array.MyIntArray
- removeElementAt(int) - Method in class si.ijs.kt.clus.util.jeans.util.MyArray
- removeEmptyRules() - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- removeFirst() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamTreeElem
- removeFirst() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamTreeElemOld
- removeInfrequentClasses(WHTDStatistic, double) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- removeLabels(boolean[]) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- removeLabelsFromData(RowData, ClassesAttrType, boolean[]) - Method in class si.ijs.kt.clus.addon.hmc.HMCConvertDAGData.HMCConvertDAGData
- removeLastRule() - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- removeLowWeightRules() - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
Remove rules that have less weight than OptRuleWeightThreshold set in .s file.
- removeMin() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeam
- removeMinUpdated(ClusBeamModel) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeam
-
Dragi This part is used only when we have similarity constraints
- removeMinUpdatedOpt(ClusBeamModel, ClusBeamModelDistance) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeam
- removeMinusOnes() - Method in class si.ijs.kt.clus.util.jeans.util.array.MyIntArray
- removeMissingTarget(RowData) - Static method in class si.ijs.kt.clus.selection.CriterionBasedSelection
- removeModels() - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- removeParentNodes(boolean[]) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- removeParentNodes(ClassTerm, boolean[]) - Static method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- removeParentNodesRec(ClassTerm, boolean[]) - Static method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- removeParentNodesRecursive(ClassTerm, boolean[]) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- removePath(String) - Static method in class si.ijs.kt.clus.util.jeans.util.FileUtil
- removeSingleQuote(String) - Static method in class si.ijs.kt.clus.util.jeans.util.StringUtils
- removeSuffix(String, String) - Static method in class si.ijs.kt.clus.util.jeans.util.StringUtils
- removeTest(int) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- removeVisitors(ClusNode) - Static method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSizeConstraints
- removeWeighted(DataTuple, double) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCHeurStat
- reOpen() - Method in class si.ijs.kt.clus.data.io.ClusReader
- replaceChars(String, char, char) - Static method in class si.ijs.kt.clus.util.jeans.util.StringUtils
- replicateEmpty(double[][]) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimClassStat
- rescale(double, double) - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeries
- reset() - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- reset() - Method in class si.ijs.kt.clus.error.Accuracy
- reset() - Method in class si.ijs.kt.clus.error.AvgDistancesError
- reset() - Method in class si.ijs.kt.clus.error.ClusSumError
- reset() - Method in class si.ijs.kt.clus.error.common.ClusError
-
Operations
- reset() - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- reset() - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreStat
- reset() - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreWrapper
- reset() - Method in class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy
- reset() - Method in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- reset() - Method in class si.ijs.kt.clus.error.hmlc.HierLevelAccuracy
- reset() - Method in class si.ijs.kt.clus.error.mlc.AveragePrecision
- reset() - Method in class si.ijs.kt.clus.error.mlc.Coverage
- reset() - Method in class si.ijs.kt.clus.error.mlc.HammingLoss
- reset() - Method in class si.ijs.kt.clus.error.mlc.MacroFOne
- reset() - Method in class si.ijs.kt.clus.error.mlc.MacroPrecision
- reset() - Method in class si.ijs.kt.clus.error.mlc.MacroRecall
- reset() - Method in class si.ijs.kt.clus.error.mlc.MicroFOne
- reset() - Method in class si.ijs.kt.clus.error.mlc.MicroPrecision
- reset() - Method in class si.ijs.kt.clus.error.mlc.MicroRecall
- reset() - Method in class si.ijs.kt.clus.error.mlc.MLAccuracy
- reset() - Method in class si.ijs.kt.clus.error.mlc.MLFOneMeasure
- reset() - Method in class si.ijs.kt.clus.error.mlc.MLPrecision
- reset() - Method in class si.ijs.kt.clus.error.mlc.MLRecall
- reset() - Method in class si.ijs.kt.clus.error.mlc.MLROCAndPRCurve
- reset() - Method in class si.ijs.kt.clus.error.mlc.OneError
- reset() - Method in class si.ijs.kt.clus.error.mlc.RankingLoss
- reset() - Method in class si.ijs.kt.clus.error.mlc.SubsetAccuracy
- reset() - Method in class si.ijs.kt.clus.error.mlcForHmlc.MlcMeasuresForHmlc
- reset() - Method in class si.ijs.kt.clus.error.MSError
- reset() - Method in class si.ijs.kt.clus.error.MSNominalError
- reset() - Method in class si.ijs.kt.clus.error.PearsonCorrelation
- reset() - Method in class si.ijs.kt.clus.error.RRMSError
- reset() - Method in class si.ijs.kt.clus.error.sets.Accuracy
- reset() - Method in class si.ijs.kt.clus.error.sets.F1Score
- reset() - Method in class si.ijs.kt.clus.error.sets.HammingLossError
- reset() - Method in class si.ijs.kt.clus.error.sets.Precision
- reset() - Method in class si.ijs.kt.clus.error.sets.Recall
- reset() - Method in class si.ijs.kt.clus.error.sets.SubsetAccuracy
- reset() - Method in class si.ijs.kt.clus.error.WAHNDError
- reset() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- reset() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimClassStat
- reset() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimRegrStat
- reset() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSizeConstraints
- reset() - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- reset() - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCRandIndex
- reset() - Method in class si.ijs.kt.clus.ext.optiontree.FindBestTests
- reset() - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- reset() - Method in class si.ijs.kt.clus.ext.structuredTypes.SetStatistic
- reset() - Method in class si.ijs.kt.clus.ext.structuredTypes.TupleStatistic
- reset() - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesStat
- reset() - Method in class si.ijs.kt.clus.model.io.ClusTreeReader
- reset() - Method in class si.ijs.kt.clus.statistic.BitVectorStat
- reset() - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- reset() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- reset() - Method in class si.ijs.kt.clus.statistic.CombStat
- reset() - Method in class si.ijs.kt.clus.statistic.CombStatClassRegHier
- reset() - Method in class si.ijs.kt.clus.statistic.GeneticDistanceStat
- reset() - Method in class si.ijs.kt.clus.statistic.HierSumPairwiseDistancesStat
- reset() - Method in class si.ijs.kt.clus.statistic.RegressionStat
- reset() - Method in class si.ijs.kt.clus.statistic.RegressionStatBinaryNomiss
- reset() - Method in class si.ijs.kt.clus.util.jeans.list.BitList
- reset() - Method in class si.ijs.kt.clus.util.jeans.math.SingleStat
- reset() - Method in class si.ijs.kt.clus.util.jeans.math.SingleStatList
- reset() - Method in class si.ijs.kt.clus.util.jeans.tree.CompleteTreeIterator
- reset() - Method in class si.ijs.kt.clus.util.jeans.tree.LeafTreeIterator
- reset() - Method in class si.ijs.kt.clus.util.jeans.tree.TreeIterator
- reset() - Method in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- reset() - Method in class si.ijs.kt.clus.util.jeans.util.list.MyListIter
- reset(int) - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- reset(int) - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- reset(int) - Method in class si.ijs.kt.clus.ext.optxval.OptXValInduce
- reset(int) - Static method in class si.ijs.kt.clus.util.ClusRandom
- reset(ClusStatistic[]) - Static method in class si.ijs.kt.clus.statistic.ClusStatistic
- resetAll() - Method in class si.ijs.kt.clus.main.ClusSummary
- resetAlternativeBest() - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- resetBestTest() - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- resetBestTest() - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- resetClusOOBErrorEstimate() - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce
-
Makes new ClusOOBErrorEstimate.
- resetExamples() - Method in class si.ijs.kt.clus.data.type.primitive.SparseNumericAttrType
- resetExtra(int) - Method in class si.ijs.kt.clus.ext.optxval.OptXValIndOV
-
Deprecated.
- resetMinMax() - Method in class si.ijs.kt.clus.algo.split.FindBestTest
- resetSumValues(int) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- resetSumWeights(int) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- resetTempFields() - Method in class si.ijs.kt.clus.ext.featureRanking.relief.statistics.Classic
- resetTempFields() - Method in class si.ijs.kt.clus.ext.featureRanking.relief.statistics.DistanceSimplified
- resetTempFields() - Method in class si.ijs.kt.clus.ext.featureRanking.relief.statistics.Statistics
- resetTempFields() - Method in class si.ijs.kt.clus.ext.featureRanking.relief.statistics.Steepness
- resetTempFields() - Method in class si.ijs.kt.clus.ext.featureRanking.relief.statistics.Variance
- resetTimes() - Static method in class si.ijs.kt.clus.main.ClusStat
- resetToSimple(double) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
-
Resets the SumWeight and majority class count to weight and all other class counts to zero.
- resetToSimple(double) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- resize(int) - Method in class si.ijs.kt.clus.data.ClusData
- resize(int) - Method in class si.ijs.kt.clus.data.cols.attribute.ClusAttribute
- resize(int) - Method in class si.ijs.kt.clus.data.cols.attribute.NominalAttribute
- resize(int) - Method in class si.ijs.kt.clus.data.cols.attribute.NumericAttribute
- resize(int) - Method in class si.ijs.kt.clus.data.cols.ColTarget
- resize(int) - Method in class si.ijs.kt.clus.data.rows.RowData
- resize(int) - Method in class si.ijs.kt.clus.data.rows.RowDataSortHelper
- resize(int) - Method in class si.ijs.kt.clus.util.jeans.list.BitList
- resize(int, String) - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeries
- resize(ArrayList, int) - Static method in class si.ijs.kt.clus.pruning.SequencePruningVSB
- resizeEmpty(int) - Method in class si.ijs.kt.clus.data.rows.RowData
- ResourceInfo - Class in si.ijs.kt.clus.util
- ResourceInfo() - Constructor for class si.ijs.kt.clus.util.ResourceInfo
- restoreBestWeight(ArrayList<Double>) - Method in class si.ijs.kt.clus.util.tools.optimization.gd.GDProblem
-
Restore the weight with minimum fitness.
- ResultsCache - Class in si.ijs.kt.clus.addon.sit.mtLearner
-
This class stores a cache of TargetSets, testdata and the predictions for that testdata TODO: better search in stored results.
- ResultsCache() - Constructor for class si.ijs.kt.clus.addon.sit.mtLearner.ResultsCache
- retrieveStatistics(ArrayList) - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageTreeModel
- retrieveStatistics(ArrayList) - Method in class si.ijs.kt.clus.algo.kNN.KnnModel
- retrieveStatistics(ArrayList) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- retrieveStatistics(ArrayList) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- retrieveStatistics(ArrayList) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- retrieveStatistics(ArrayList) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ReliefModel
- retrieveStatistics(ArrayList) - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- retrieveStatistics(ArrayList) - Method in class si.ijs.kt.clus.ext.optiontree.ClusSplitNode
- retrieveStatistics(ArrayList<ClusStatistic>) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- retrieveStatistics(ArrayList<ClusStatistic>) - Method in interface si.ijs.kt.clus.model.ClusModel
- returnImplicitLinearTermsIfNeeded(RowData) - Static method in class si.ijs.kt.clus.algo.rules.ClusRuleLinearTerm
-
Returns implicit linear terms if this is set in the settings file.
- returnNNs(DataTuple, int) - Method in class si.ijs.kt.clus.algo.kNN.methods.bfMethod.BruteForce
- returnNNs(DataTuple, int) - Method in class si.ijs.kt.clus.algo.kNN.methods.bfMethod.OracleBruteForce
- returnNNs(DataTuple, int) - Method in class si.ijs.kt.clus.algo.kNN.methods.kdTree.KDTree
-
Return nearest k (getK()) tuples to specified tuple.
- returnNNs(DataTuple, int) - Method in class si.ijs.kt.clus.algo.kNN.methods.SearchAlgorithm
-
Returns k nearest neighbors.
- returnNNs(DataTuple, int) - Method in class si.ijs.kt.clus.algo.kNN.methods.vpTree.VPTree
- returnNormalizedData(RowData) - Static method in class si.ijs.kt.clus.Clus
-
Normalize the data so that most of the variables are within [-0.5,0.5] range.
- returnPureNNs(DataTuple, int) - Method in class si.ijs.kt.clus.algo.kNN.methods.bfMethod.BruteForce
- returnPureStack() - Method in class si.ijs.kt.clus.algo.kNN.methods.NNStack
- returnRuleInduceParams() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
For TreesToRules induction return the original parameters after forest induced
- returnStack() - Method in class si.ijs.kt.clus.algo.kNN.methods.NNStack
-
Returns k nearest neighbors among those added to stack.
- reweighCovered(RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
-
Re-weighs examples covered by this rule.
- RFeatSelection - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleMethod
- RForest - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleMethod
- RForest - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleRanking
- RForestProximities - Class in si.ijs.kt.clus.ext.semisupervised.confidence.regression
-
Class which determines reliability score of an unlabeled example e_u as follows: r(e_u) = sum_{e_l} w_l * oobError(e_l), where w_l is random forest proximity of e_u to labeled example e_l, and oonError return out-of-bag error of labeled example e_u.
- RForestProximities - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLConfidenceMeasure
-
RForestProximities - extrapolation of error of unlabeled examples via OOB error of labeled examples in their Random Forest proximity
- RForestProximities(ClusStatManager, SettingsSSL.SSLNormalization, SettingsSSL.SSLAggregation) - Constructor for class si.ijs.kt.clus.ext.semisupervised.confidence.regression.RForestProximities
- RForestProximitiesV2 - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLConfidenceMeasure
-
RForestProximitiesV2 - ??
- RIGHT_HIGH - Static variable in class si.ijs.kt.clus.algo.kNN.methods.vpTree.VPNode
- RIGHT_LOW - Static variable in class si.ijs.kt.clus.algo.kNN.methods.vpTree.VPNode
- RMSError - Class in si.ijs.kt.clus.error
- RMSError(ClusErrorList, NumericAttrType[]) - Constructor for class si.ijs.kt.clus.error.RMSError
- RMSError(ClusErrorList, NumericAttrType[], String) - Constructor for class si.ijs.kt.clus.error.RMSError
- RMSError(ClusErrorList, NumericAttrType[], ClusAttributeWeights) - Constructor for class si.ijs.kt.clus.error.RMSError
- RMSError(ClusErrorList, NumericAttrType[], ClusAttributeWeights, boolean) - Constructor for class si.ijs.kt.clus.error.RMSError
- RMSError(ClusErrorList, NumericAttrType[], ClusAttributeWeights, boolean, String) - Constructor for class si.ijs.kt.clus.error.RMSError
- RMSError(ClusErrorList, NumericAttrType[], ClusAttributeWeights, String) - Constructor for class si.ijs.kt.clus.error.RMSError
- ROCAndPRCurve - Class in si.ijs.kt.clus.error
- ROCAndPRCurve(BinaryPredictionList) - Constructor for class si.ijs.kt.clus.error.ROCAndPRCurve
- round(double) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- roundDouble(double, int) - Static method in class si.ijs.kt.clus.util.ClusUtil
- roundDouble(double, int) - Static method in class si.ijs.kt.clus.util.jeans.util.StringUtils
- roundPredictions() - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptClassification
- roundPredictions() - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptimization
- roundPredictions() - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptRegHMLC
- roundToSignificantFigures(double, int) - Static method in class si.ijs.kt.clus.util.ClusUtil
- RowData - Class in si.ijs.kt.clus.data.rows
-
Multiple rows (tuples) of data.
- RowData(Object[], int) - Constructor for class si.ijs.kt.clus.data.rows.RowData
- RowData(ArrayList, ClusSchema) - Constructor for class si.ijs.kt.clus.data.rows.RowData
- RowData(ArrayList, ClusSchema, boolean) - Constructor for class si.ijs.kt.clus.data.rows.RowData
- RowData(ClusSchema) - Constructor for class si.ijs.kt.clus.data.rows.RowData
- RowData(ClusSchema, int) - Constructor for class si.ijs.kt.clus.data.rows.RowData
- RowData(RowData) - Constructor for class si.ijs.kt.clus.data.rows.RowData
- RowDataSortHelper - Class in si.ijs.kt.clus.data.rows
- RowDataSortHelper() - Constructor for class si.ijs.kt.clus.data.rows.RowDataSortHelper
- ROWS - Static variable in class si.ijs.kt.clus.data.ClusSchema
- RRMSE - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.OptimizationLossFunction
-
Optimization Loss function type.
- RRMSError - Class in si.ijs.kt.clus.error
-
Relative root mean squared error.
- RRMSError(ClusErrorList, NumericAttrType[]) - Constructor for class si.ijs.kt.clus.error.RRMSError
- RRMSError(ClusErrorList, NumericAttrType[], ClusAttributeWeights) - Constructor for class si.ijs.kt.clus.error.RRMSError
- RRMSError(ClusErrorList, NumericAttrType[], ClusAttributeWeights, boolean) - Constructor for class si.ijs.kt.clus.error.RRMSError
- RSubspaces - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleMethod
- RuleNormalization - Class in si.ijs.kt.clus.algo.rules
-
Information about rule normalization.
- RuleNormalization() - Constructor for class si.ijs.kt.clus.algo.rules.RuleNormalization
- RulePred(int, int) - Constructor for class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem.RulePred
-
An empty class
- RULES - Static variable in interface si.ijs.kt.clus.model.ClusModel
- rulesFromTree() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
-
If we transform the induced trees to rules.
- RulesFromTree - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.CoveringMethod
-
No covering, rules transcribed from tree
- run(String[]) - Method in class si.ijs.kt.clus.addon.hmc.ClusAmandaRules.ClusAmandaRules
- run(String[]) - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageSingleClass
- run(String[]) - Method in class si.ijs.kt.clus.addon.hmc.HMCNodeWiseModels.hmcnwmodels.HMCNodeWiseModels
S
- S_EQ - Static variable in class si.ijs.kt.clus.model.test.NodeTest
- safePrune() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- samePrediction(ClusNode) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
-
Code for safe package si.ijs.kt.clus.pruning the tree
- samePrediction(ClusStatistic) - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreStat
- samePrediction(ClusStatistic) - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesStat
- samePrediction(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- samePrediction(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- samePrediction(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.CombStat
- samePrediction(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.CombStatClassRegHier
- samePrediction(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- samePrediction(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- sample(int, ClusRandomNonstatic) - Method in class si.ijs.kt.clus.data.rows.RowData
-
Create a random sample with replacement of this RowData.
- sample(String) - Method in class si.ijs.kt.clus.Clus
- SampledRuleSet - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.CoveringMethod
-
No covering, rules created with PCT enemble, converted to rules and then sampled
- sampleWeighted(Random) - Method in class si.ijs.kt.clus.data.rows.RowData
- sampleWeighted(Random, int) - Method in class si.ijs.kt.clus.data.rows.RowData
- Sampling_K_Random(int, int) - Static method in class si.ijs.kt.clus.statistic.SumPairwiseDistancesStat
- sanityCheck(double, ClusRule) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
- sanityCheck(double, ClusRule) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleInduce
- sanityCheck(double, ClusNode) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- sanityCheck(double, ClusNode) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- save() - Method in class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI.ILevelCComponent
- save(PrintWriter) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFile
- save(PrintWriter) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileEntry
- save(PrintWriter) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNode
- save(PrintWriter) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileSection
- save(PrintWriter) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileSectionGroup
- save(String) - Method in class si.ijs.kt.clus.model.io.ClusModelCollectionIO
- save(String) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFile
- save(String, PrintWriter) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileSection
- saveBeamStats() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- saveBeamStats() - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- saveHierarchy(String, ClassHierarchy) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchyIO
- saveInformation(String) - Method in class si.ijs.kt.clus.algo.ClusInductionAlgorithmType
- saveInformation(String) - Method in class si.ijs.kt.clus.algo.tdidt.tune.CDTuneSizeConstrPruning
- SaveListener() - Constructor for class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI.SaveListener
- SaveLoadNeighbours - Class in si.ijs.kt.clus.ext.featureRanking.relief.nearestNeighbour
- SaveLoadNeighbours(String[], String) - Constructor for class si.ijs.kt.clus.ext.featureRanking.relief.nearestNeighbour.SaveLoadNeighbours
- saveModels(ClusRun, ClusModelCollectionIO) - Method in class si.ijs.kt.clus.Clus
- saveNeighboursToFile(HashMap<Integer, HashMap<Integer, NearestNeighbour[][]>>) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.nearestNeighbour.SaveLoadNeighbours
- saveToFile(AttributeWeighting, String) - Static method in class si.ijs.kt.clus.algo.kNN.distance.attributeWeighting.AttributeWeighting
- search - Variable in class si.ijs.kt.clus.algo.kNN.distance.distanceWeighting.DistanceWeighting
-
Search algorithm used; contains distance used
- search() - Method in class si.ijs.kt.clus.addon.sit.Sit
-
Start the search for the optimal subset using the current learner and search algorithm
- search(ClusAttrType, TargetSet) - Method in class si.ijs.kt.clus.addon.sit.searchAlgorithm.AllTargets
-
This class will always return the full target candidates set.
- search(ClusAttrType, TargetSet) - Method in class si.ijs.kt.clus.addon.sit.searchAlgorithm.GeneticSearch
- search(ClusAttrType, TargetSet) - Method in class si.ijs.kt.clus.addon.sit.searchAlgorithm.GreedySIT
- search(ClusAttrType, TargetSet) - Method in class si.ijs.kt.clus.addon.sit.searchAlgorithm.NoStopSearch
- search(ClusAttrType, TargetSet) - Method in class si.ijs.kt.clus.addon.sit.searchAlgorithm.OneTarget
- search(ClusAttrType, TargetSet) - Method in interface si.ijs.kt.clus.addon.sit.searchAlgorithm.SearchAlgorithm
- search(ClusAttrType, TargetSet) - Method in class si.ijs.kt.clus.addon.sit.searchAlgorithm.TC
- SearchAlgorithm - Class in si.ijs.kt.clus.algo.kNN.methods
- SearchAlgorithm - Interface in si.ijs.kt.clus.addon.sit.searchAlgorithm
- SearchAlgorithm(ClusRun, SearchDistance) - Constructor for class si.ijs.kt.clus.algo.kNN.methods.SearchAlgorithm
- SearchAlgorithmImpl - Class in si.ijs.kt.clus.addon.sit.searchAlgorithm
-
Abstract implementation of the SearchAlgo interface.
- SearchAlgorithmImpl() - Constructor for class si.ijs.kt.clus.addon.sit.searchAlgorithm.SearchAlgorithmImpl
- SearchDistance - Class in si.ijs.kt.clus.distance.primitive
- SearchDistance() - Constructor for class si.ijs.kt.clus.distance.primitive.SearchDistance
- select(int) - Method in class si.ijs.kt.clus.selection.BitMapSelection
- select(ClusSelection) - Method in class si.ijs.kt.clus.data.ClusData
- select(ClusSelection) - Method in class si.ijs.kt.clus.data.rows.RowData
- select(ClusSelection, int) - Method in class si.ijs.kt.clus.data.cols.attribute.ClusAttribute
- select(ClusSelection, int) - Method in class si.ijs.kt.clus.data.cols.attribute.NominalAttribute
- select(ClusSelection, int) - Method in class si.ijs.kt.clus.data.cols.attribute.NumericAttribute
- select(ClusSelection, int) - Method in class si.ijs.kt.clus.data.cols.ColTarget
- selectFrom(ClusSelection, ClusRandomNonstatic) - Method in class si.ijs.kt.clus.data.ClusData
- selectFrom(ClusSelection, ClusRandomNonstatic) - Method in class si.ijs.kt.clus.data.rows.RowData
- selectMultiple() - Method in class si.ijs.kt.clus.ext.optiontree.FindBestTests
- selectNominal(ClusSelection, int) - Method in class si.ijs.kt.clus.data.cols.ColTarget
- selectNumeric(ClusSelection, int) - Method in class si.ijs.kt.clus.data.cols.ColTarget
- selectRandomSubspaces(ClusAttrType[], int, int, ClusRandomNonstatic) - Static method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce
-
Selects random subspaces.
- SelfTraining - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLMethod
- SelfTrainingFTF - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLMethod
- SemiSupervised - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.Heuristic
- SemiSupMinLabeledWeightStopCrit - Class in si.ijs.kt.clus.ext.semisupervised
- SemiSupMinLabeledWeightStopCrit(double) - Constructor for class si.ijs.kt.clus.ext.semisupervised.SemiSupMinLabeledWeightStopCrit
- separateAndConquor(ClusRuleSet, RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
- separateAndConquor(ClusRuleSet, RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleInduce
-
Standard covering algorithm for learning ordered rules.
- separateAndConquorAddRulesIfBetter(ClusRuleSet, RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleInduce
-
Modified separateAndConquorWeighted method: Adds a rule to the rule set only if it improves the rule set performance
- separateAndConquorAddRulesIfBetterFromBeam(ClusRuleSet, RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleInduce
-
Modified separateAndConquorWeighted method: Adds a rule to the rule set only if it improves the rule set performance or if they cover default class.
- separateAndConquorAddRulesIfBetterFromBeam2(ClusRuleSet, RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleInduce
-
Modified separateAndConquorWeighted method: evaluates each rule in the context of a complete rule set, it builds the default rule first.
- separateAndConquorBootstraped(ClusRuleSet, RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleInduce
-
separateAndConquor method that induces rules on several bootstrapped data subsets
- separateAndConquorRandomly(ClusRuleSet, RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleInduce
-
Evaluates each rule in the context of a complete rule set.
- separateAndConquorWeighted(ClusRuleSet, RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
-
separateAndConquor method which uses re-weighting
- separateAndConquorWeighted(ClusRuleSet, RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleInduce
-
Weighted covering algorithm for learning unordered rules.
- separateAndConquorWithHeuristic(ClusRuleSet, RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleInduce
- septype - Variable in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- sequenceInitialize(ClusNode) - Method in class si.ijs.kt.clus.pruning.CartPruning
- sequenceInitialize(ClusNode) - Method in class si.ijs.kt.clus.pruning.PruneTree
- sequenceInitialize(ClusNode) - Method in class si.ijs.kt.clus.pruning.SizeConstraintPruning
- sequenceNext() - Method in class si.ijs.kt.clus.pruning.CartPruning
- sequenceNext() - Method in class si.ijs.kt.clus.pruning.PruneTree
- sequenceNext() - Method in class si.ijs.kt.clus.pruning.SizeConstraintPruning
- SequencePruningVSB - Class in si.ijs.kt.clus.pruning
- SequencePruningVSB(RowData, ClusAttributeWeights) - Constructor for class si.ijs.kt.clus.pruning.SequencePruningVSB
- sequenceReset() - Method in class si.ijs.kt.clus.pruning.CartPruning
- sequenceReset() - Method in class si.ijs.kt.clus.pruning.PruneTree
- sequenceReset() - Method in class si.ijs.kt.clus.pruning.SizeConstraintPruning
- sequenceToElemK(ClusNode, int) - Method in class si.ijs.kt.clus.pruning.CartPruning
- sequenceToElemK(ClusNode, int) - Method in class si.ijs.kt.clus.pruning.PruneTree
- sequenceToElemK(ClusNode, int) - Method in class si.ijs.kt.clus.pruning.SizeConstraintPruning
- SERIAL_VERSION_ID - Static variable in class si.ijs.kt.clus.main.settings.Settings
- serialVersionUID - Static variable in class si.ijs.kt.clus.addon.hmc.ClusAmandaRules.AmandaRule
- serialVersionUID - Static variable in class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI.ILevelCComponent
- serialVersionUID - Static variable in class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI
- serialVersionUID - Static variable in class si.ijs.kt.clus.algo.rules.ClusRule
- serialVersionUID - Static variable in class si.ijs.kt.clus.algo.rules.ClusRuleLinearTerm
- serialVersionUID - Static variable in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- serialVersionUID - Static variable in class si.ijs.kt.clus.algo.tdidt.ClusNode
- serialVersionUID - Static variable in class si.ijs.kt.clus.data.attweights.ClusAttributeWeights
- serialVersionUID - Static variable in class si.ijs.kt.clus.data.attweights.ClusNormalizedAttributeWeights
- serialVersionUID - Static variable in class si.ijs.kt.clus.data.ClusSchema
- serialVersionUID - Static variable in class si.ijs.kt.clus.data.rows.DataTuple
- serialVersionUID - Static variable in class si.ijs.kt.clus.data.rows.SparseDataTuple
- serialVersionUID - Static variable in class si.ijs.kt.clus.data.type.BitwiseNominalAttrType
- serialVersionUID - Static variable in class si.ijs.kt.clus.data.type.ClusAttrType
- serialVersionUID - Static variable in class si.ijs.kt.clus.data.type.complex.SetAttrType
- serialVersionUID - Static variable in class si.ijs.kt.clus.data.type.complex.TupleAttrType
- serialVersionUID - Static variable in class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrType
- serialVersionUID - Static variable in class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrTypeSingleLabel
- serialVersionUID - Static variable in class si.ijs.kt.clus.data.type.hierarchies.FlatClassesAttrType
- serialVersionUID - Static variable in class si.ijs.kt.clus.data.type.primitive.IndexAttrType
- serialVersionUID - Static variable in class si.ijs.kt.clus.data.type.primitive.IntegerAttrType
- serialVersionUID - Static variable in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- serialVersionUID - Static variable in class si.ijs.kt.clus.data.type.primitive.NumericAttrType
- serialVersionUID - Static variable in class si.ijs.kt.clus.data.type.primitive.SparseNumericAttrType
- serialVersionUID - Static variable in class si.ijs.kt.clus.data.type.primitive.StringAttrType
- serialVersionUID - Static variable in class si.ijs.kt.clus.data.type.primitive.TimeSeriesAttrType
- serialVersionUID - Static variable in class si.ijs.kt.clus.distance.ClusDistance
- serialVersionUID - Static variable in class si.ijs.kt.clus.distance.complex.ClusStructuredDistance
- serialVersionUID - Static variable in class si.ijs.kt.clus.distance.complex.SetDistance
- serialVersionUID - Static variable in class si.ijs.kt.clus.distance.complex.TupleDistance
- serialVersionUID - Static variable in class si.ijs.kt.clus.distance.complex.tuples.SSPDMatrix
- serialVersionUID - Static variable in class si.ijs.kt.clus.distance.hierarchies.HierJaccardDistance
- serialVersionUID - Static variable in class si.ijs.kt.clus.distance.primitive.timeseries.DTWTimeSeriesDist
- serialVersionUID - Static variable in class si.ijs.kt.clus.distance.primitive.timeseries.QDMTimeSeriesDist
- serialVersionUID - Static variable in class si.ijs.kt.clus.distance.primitive.timeseries.TimeSeriesDist
- serialVersionUID - Static variable in class si.ijs.kt.clus.distance.primitive.timeseries.TSCTimeSeriesDist
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.AbsoluteError
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.Accuracy
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.AvgDistancesError
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.BinaryPredictionList
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.ClusSumError
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.common.ClusError
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.common.ClusErrorList
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.common.multiscore.MultiScoreStat
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.common.multiscore.MultiScoreWrapper
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.ContingencyTable
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.hmlc.HierLevelAccuracy
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.hmlc.HierRMSError
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.ICVPairwiseDistancesError
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.MisclassificationError
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.mlc.AveragePrecision
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.mlc.Coverage
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.mlc.HammingLoss
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.mlc.MacroFOne
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.mlc.MacroPrecision
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.mlc.MacroRecall
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.mlc.MicroFOne
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.mlc.MicroPrecision
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.mlc.MicroRecall
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.mlc.MLAccuracy
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.mlc.MLFOneMeasure
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.mlc.MLPrecision
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.mlc.MLRecall
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.mlc.MLROCAndPRCurve
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.mlc.OneError
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.mlc.RankingLoss
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.mlc.SubsetAccuracy
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.mlcForHmlc.MlcMeasuresForHmlc
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.MSError
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.MSNominalError
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.NominalCorrelation
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.PearsonCorrelation
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.RMSError
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.ROCAndPRCurve
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.RRMSError
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.sets.Accuracy
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.sets.F1Score
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.sets.HammingLossError
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.sets.Precision
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.sets.Recall
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.sets.SubsetAccuracy
- serialVersionUID - Static variable in class si.ijs.kt.clus.error.WAHNDError
- serialVersionUID - Static variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- serialVersionUID - Static variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimRegrStat
- serialVersionUID - Static variable in class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- serialVersionUID - Static variable in class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- serialVersionUID - Static variable in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- serialVersionUID - Static variable in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- serialVersionUID - Static variable in class si.ijs.kt.clus.ext.ilevelc.COPKMeansCluster
- serialVersionUID - Static variable in class si.ijs.kt.clus.ext.ilevelc.COPKMeansModel
- serialVersionUID - Static variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCHeurStat
- serialVersionUID - Static variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCRandIndex
- serialVersionUID - Static variable in class si.ijs.kt.clus.ext.ilevelc.ILevelCStatistic
- serialVersionUID - Static variable in class si.ijs.kt.clus.ext.ilevelc.SimpleClusterModel
- serialVersionUID - Static variable in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- serialVersionUID - Static variable in class si.ijs.kt.clus.ext.optiontree.ClusSplitNode
- serialVersionUID - Static variable in class si.ijs.kt.clus.ext.optiontree.MyNode
- serialVersionUID - Static variable in class si.ijs.kt.clus.ext.optxval.OptXValBinTree
- serialVersionUID - Static variable in class si.ijs.kt.clus.ext.optxval.OptXValNode
- serialVersionUID - Static variable in class si.ijs.kt.clus.ext.optxval.OptXValSplit
- serialVersionUID - Static variable in class si.ijs.kt.clus.ext.optxval.SoftNumericTest
- serialVersionUID - Static variable in class si.ijs.kt.clus.ext.structuredTypes.Set
- serialVersionUID - Static variable in class si.ijs.kt.clus.ext.structuredTypes.SetStatistic
- serialVersionUID - Static variable in class si.ijs.kt.clus.ext.structuredTypes.Tuple
- serialVersionUID - Static variable in class si.ijs.kt.clus.ext.structuredTypes.TupleStatistic
- serialVersionUID - Static variable in class si.ijs.kt.clus.ext.timeseries.TimeSeries
- serialVersionUID - Static variable in class si.ijs.kt.clus.ext.timeseries.TimeSeriesSignificantChangeTesterXVAL
- serialVersionUID - Static variable in class si.ijs.kt.clus.ext.timeseries.TimeSeriesStat
- serialVersionUID - Static variable in class si.ijs.kt.clus.main.ClusRun
- serialVersionUID - Static variable in class si.ijs.kt.clus.main.ClusStatManager
- serialVersionUID - Static variable in class si.ijs.kt.clus.main.ClusSummary
- serialVersionUID - Static variable in class si.ijs.kt.clus.main.settings.Settings
- serialVersionUID - Static variable in class si.ijs.kt.clus.model.ClusModelInfo
- serialVersionUID - Static variable in class si.ijs.kt.clus.model.io.ClusModelCollectionIO
- serialVersionUID - Static variable in class si.ijs.kt.clus.model.processor.ModelProcessorCollection
- serialVersionUID - Static variable in class si.ijs.kt.clus.model.test.ClusRuleConstraintInduceTest
- serialVersionUID - Static variable in class si.ijs.kt.clus.model.test.FakeTest
- serialVersionUID - Static variable in class si.ijs.kt.clus.model.test.InverseNumericTest
- serialVersionUID - Static variable in class si.ijs.kt.clus.model.test.NominalTest
- serialVersionUID - Static variable in class si.ijs.kt.clus.model.test.NumericTest
- serialVersionUID - Static variable in class si.ijs.kt.clus.model.test.SubsetTest
- serialVersionUID - Static variable in class si.ijs.kt.clus.statistic.BitVectorStat
- serialVersionUID - Static variable in class si.ijs.kt.clus.statistic.ClassificationStat
- serialVersionUID - Static variable in class si.ijs.kt.clus.statistic.ClusStatistic
- serialVersionUID - Static variable in class si.ijs.kt.clus.statistic.CombStat
- serialVersionUID - Static variable in class si.ijs.kt.clus.statistic.CombStatClassRegHier
- serialVersionUID - Static variable in class si.ijs.kt.clus.statistic.GeneticDistanceStat
- serialVersionUID - Static variable in class si.ijs.kt.clus.statistic.GISStat
-
Deprecated.
- serialVersionUID - Static variable in class si.ijs.kt.clus.statistic.HierSingleLabelStat
- serialVersionUID - Static variable in class si.ijs.kt.clus.statistic.HierSumPairwiseDistancesStat
- serialVersionUID - Static variable in class si.ijs.kt.clus.statistic.RegressionStat
- serialVersionUID - Static variable in class si.ijs.kt.clus.statistic.RegressionStatBase
- serialVersionUID - Static variable in class si.ijs.kt.clus.statistic.RegressionStatBinaryNomiss
- serialVersionUID - Static variable in class si.ijs.kt.clus.statistic.SumPairwiseDistancesStat
- serialVersionUID - Static variable in class si.ijs.kt.clus.statistic.WHTDStatistic
- serialVersionUID - Static variable in exception class si.ijs.kt.clus.util.exception.ClusException
- serialVersionUID - Static variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFile
- serialVersionUID - Static variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileArray
- serialVersionUID - Static variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileBool
- serialVersionUID - Static variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileDouble
- serialVersionUID - Static variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileInt
- serialVersionUID - Static variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominal
- serialVersionUID - Static variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- serialVersionUID - Static variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector
- serialVersionUID - Static variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileSection
- serialVersionUID - Static variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileSectionGroup
- serialVersionUID - Static variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileString
- serialVersionUID - Static variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrDouble
- serialVersionUID - Static variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrInt
- serialVersionUID - Static variable in class si.ijs.kt.clus.util.jeans.io.range.NominalType
- serialVersionUID - Static variable in class si.ijs.kt.clus.util.jeans.list.BitList
- serialVersionUID - Static variable in class si.ijs.kt.clus.util.jeans.tree.MyNode
- serialVersionUID - Static variable in class si.ijs.kt.clus.util.jeans.util.compound.DoubleBoolean
- serialVersionUID - Static variable in class si.ijs.kt.clus.util.jeans.util.compound.IndexedItem
- serialVersionUID - Static variable in exception class si.ijs.kt.clus.util.jeans.util.GeneralException
- serialVersionUID - Static variable in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- serialVersionUID - Static variable in class si.ijs.kt.clus.util.jeans.util.MyArray
- serialVersionUID - Static variable in class si.ijs.kt.clus.util.tools.textproc.StopList
- set(double, Object) - Method in class si.ijs.kt.clus.util.jeans.util.compound.DoubleObject
- set(int, int, double) - Method in class si.ijs.kt.clus.util.jeans.math.matrix.MSymMatrix
- Set - Class in si.ijs.kt.clus.ext.structuredTypes
- Set - Enum constant in enum class si.ijs.kt.clus.data.type.ClusAttrType.AttributeType
- Set(int) - Constructor for class si.ijs.kt.clus.ext.structuredTypes.Set
- Set(Object[]) - Constructor for class si.ijs.kt.clus.ext.structuredTypes.Set
- Set(String) - Constructor for class si.ijs.kt.clus.ext.structuredTypes.Set
- Set(String, String) - Constructor for class si.ijs.kt.clus.ext.structuredTypes.Set
- Set(Set) - Constructor for class si.ijs.kt.clus.ext.structuredTypes.Set
- set_itemsetcpt(int) - Static method in class si.ijs.kt.clus.main.Global
- set_sym(int, int, double) - Method in class si.ijs.kt.clus.util.jeans.math.matrix.MSymMatrix
- set_treecpt(int) - Static method in class si.ijs.kt.clus.main.Global
- set1SERule(boolean) - Method in class si.ijs.kt.clus.pruning.SequencePruningVSB
- set1SERuleEnabled(boolean) - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- setAbundance(double) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- setAdditionalInfo(String) - Method in class si.ijs.kt.clus.error.common.ClusError
- setAdditiveError(ClusErrorList) - Method in class si.ijs.kt.clus.pruning.SizeConstraintPruning
- setAggregate(boolean) - Method in class si.ijs.kt.clus.ext.hierarchicalmtr.ClusHMTRNode
- setAllErrorsClone(ClusErrorList, ClusErrorList, ClusErrorList) - Method in class si.ijs.kt.clus.model.ClusModelInfo
- setAllIntermediate(boolean) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- setAllNormalizationWeights(double) - Method in class si.ijs.kt.clus.data.attweights.ClusNormalizedAttributeWeights
- setAllStatistic(ClusStatistic) - Method in class si.ijs.kt.clus.main.ClusStatManager
- setAllWeights(double) - Method in class si.ijs.kt.clus.data.attweights.ClusAttributeWeights
- setAlternatives(ArrayList<NodeTest>) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- setAlternativesString(String) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- setAppName(String) - Method in class si.ijs.kt.clus.main.settings.section.SettingsGeneric
- setArity(int) - Method in class si.ijs.kt.clus.model.test.NodeTest
- setArrayIndex(int) - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- setArrayIndexNames(boolean) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- setArrayIndexNames(String[]) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- setAttrHeuristic(ClusHeuristic) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristic
- setAttribs(ClusAttrType[]) - Method in class si.ijs.kt.clus.algo.kNN.distance.valentin.VectorDistance
- setAttribtue(ClusAttrType) - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- setAttributes(ClusAttrType[]) - Method in class si.ijs.kt.clus.heuristic.EncodingCost
- setAttrType(ClusAttrType, int) - Method in class si.ijs.kt.clus.data.ClusSchema
- SetAttrType - Class in si.ijs.kt.clus.data.type.complex
- SetAttrType(String) - Constructor for class si.ijs.kt.clus.data.type.complex.SetAttrType
- SetAttrType(String, String) - Constructor for class si.ijs.kt.clus.data.type.complex.SetAttrType
- SetAttrType(String, String, int) - Constructor for class si.ijs.kt.clus.data.type.complex.SetAttrType
- SetAttrType.MySerializable - Class in si.ijs.kt.clus.data.type.complex
- setAvgIter(int) - Method in class si.ijs.kt.clus.ext.ilevelc.COPKMeansModel
- setBagSelection(int) - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- setBasicDistance(BasicDistance) - Method in class si.ijs.kt.clus.data.type.ClusAttrType
-
Sets the BasicDistance for this AttributeType
- setBeam(ClusBeam) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- setBeam(ClusBeam) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimClassStat
- setBeam(ClusBeam) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimRegrStat
- setBeam(ClusBeam) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- setBeam(ClusBeam) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- setBeamChanged(boolean) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
- setBeamChanged(boolean) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleInduce
- setBeamChanged(boolean) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- setBeamChanged(boolean) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- setBeamSearch(boolean) - Method in class si.ijs.kt.clus.main.ClusStatManager
- setBeamSimilarity(double) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeam
- setBestHeur(double) - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- setBestHeur(double) - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- setBestTest(int, NodeTest) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamAttrSelector
- setBit(int) - Method in class si.ijs.kt.clus.util.jeans.list.BitList
- setBitPosition(int) - Method in class si.ijs.kt.clus.data.type.BitwiseNominalAttrType
- setBlockChars(String, String) - Method in class si.ijs.kt.clus.util.jeans.util.MStringTokenizer
- setBound(double) - Method in class si.ijs.kt.clus.model.test.ClusRuleConstraintInduceTest
- setBound(double) - Method in class si.ijs.kt.clus.model.test.NumericTest
- setCalcItotal(double) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- setCalcItotal(double) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- setCapacity(int) - Method in class si.ijs.kt.clus.util.jeans.util.array.MyIntArray
- setCapacity(int) - Method in class si.ijs.kt.clus.util.jeans.util.MyArray
- setCargo(Object) - Method in class si.ijs.kt.clus.util.jeans.tree.BinaryNode
- setCharTokens(String) - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- setCharTokens(String) - Method in class si.ijs.kt.clus.util.jeans.util.MStringTokenizer
- setCharTokens(String) - Method in class si.ijs.kt.clus.util.jeans.util.MTokenizer
- setChild(int, MyNode) - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- setChild(MyNode, int) - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- setChild(Node, int) - Method in class si.ijs.kt.clus.util.jeans.tree.MyNode
- setChosenIntancesTrain(int[]) - Method in class si.ijs.kt.clus.main.settings.section.SettingsKNN
- setClassTerm(ClassTerm) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- setCloneAnonymousParent(boolean) - Method in class si.ijs.kt.clus.util.cloner.Cloner
-
if false, anonymous classes parent class won't be cloned.
- setCloneSynthetics(boolean) - Method in class si.ijs.kt.clus.util.cloner.Cloner
- setCloningEnabled(boolean) - Method in class si.ijs.kt.clus.util.cloner.Cloner
- setClusterID(int) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCStatistic
- setClustering(boolean) - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- setClustering(String) - Method in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
- setClustering(IntervalCollection) - Method in class si.ijs.kt.clus.data.ClusSchema
- setClustering(IntervalCollection, boolean) - Method in class si.ijs.kt.clus.data.ClusSchema
- setClusteringAll(boolean) - Method in class si.ijs.kt.clus.data.ClusSchema
- setClusteringStat(ClusStatistic) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- setClusteringStat(ClusStatistic) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
-
Mutators
- setClusteringStat(ClusStatistic) - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- setClusteringStatistic(ClusStatistic) - Method in class si.ijs.kt.clus.main.ClusStatManager
- setClusteringWeights(ClusAttributeWeights) - Method in class si.ijs.kt.clus.main.ClusRun
- setClusters(ArrayList<RowData>, ArrayList<Integer>) - Method in class si.ijs.kt.clus.heuristic.EncodingCost
- setClusters(COPKMeansCluster[]) - Method in class si.ijs.kt.clus.ext.ilevelc.COPKMeansModel
- setCommentChar() - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- setCommentChar() - Method in class si.ijs.kt.clus.util.jeans.util.MTokenizer
- setCommentChar(int) - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- setCommentChar(int) - Method in class si.ijs.kt.clus.util.jeans.util.MTokenizer
- setConfidenceThreshold(double) - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- setConstraintPredictions(ArrayList<ClusStatistic>) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSyntacticConstraint
- setConstraints(ArrayList<ILevelConstraint>) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- setCount(int, int, double) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- setCoverage(double[]) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- setCoveredBitVectArray(ArrayList) - Method in class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicDispersion
- setCoveringMethod(SettingsRules.CoveringMethod) - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- setCoveringWeight(double) - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- setCSets(int) - Method in class si.ijs.kt.clus.ext.ilevelc.COPKMeansModel
- setCTree(int) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveDFSearch
- setCurrentModel(int) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- setCurrentModel(int) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- setCurrentTree(ClusNode) - Method in class si.ijs.kt.clus.pruning.PruneTree
- setData(double[]) - Method in class si.ijs.kt.clus.util.jeans.util.sort.DoubleIndexSorter
- setData(double[][], int[][], int) - Method in class si.ijs.kt.clus.data.cols.ColTarget
- setData(double[], int[]) - Method in class si.ijs.kt.clus.util.jeans.util.sort.DoubleIndexSorter
- setData(RowData) - Method in class si.ijs.kt.clus.addon.sit.mtLearner.MTLearnerImpl
- setData(RowData) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamAttrSelector
- setData(RowData) - Method in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- setData(RowData) - Method in class si.ijs.kt.clus.heuristic.ClusHeuristic
- setData(RowData) - Method in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristic
- setData(RowData) - Method in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- setData(RowData) - Method in class si.ijs.kt.clus.heuristic.GISHeuristic
- setData(RowData) - Method in class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicSSD
- setData(RowData) - Method in class si.ijs.kt.clus.heuristic.VarianceReductionHeuristic
- setData(RowData) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- setData(RowData) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- setData(RowData) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- setData(RowData) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- setDataIndexes(boolean[]) - Method in class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicDispersion
- setDataIndexes(int[]) - Method in class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicDispersion
- setDataIndexesPerVal(int[][]) - Method in class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicDispersion
- setDataSet(int) - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageTreeModel
- setDatasetIndex(int) - Method in class si.ijs.kt.clus.data.rows.DataTuple
- setDatasetIndex(int) - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- setDate(Date) - Method in class si.ijs.kt.clus.main.settings.section.SettingsGeneric
- setDebug(boolean) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSizeConstraints
- setDebug(EnumSet<Clus.DebugType>) - Static method in class si.ijs.kt.clus.Clus
-
This sets global debugging flags.
- setDEBUG(boolean) - Method in class si.ijs.kt.clus.algo.kNN.methods.SearchAlgorithm
-
Set DEBUG variable.
- setDefault(int[]) - Method in class si.ijs.kt.clus.error.common.ClusNominalError
- setDefault(ClusStatistic) - Method in class si.ijs.kt.clus.error.common.ClusNominalError
- setDepth(double) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
-
Setter for m_Depth.
- setDescriptive(boolean) - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- setDescriptive(String) - Method in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
- setDescriptive(IntervalCollection) - Method in class si.ijs.kt.clus.data.ClusSchema
- setDescriptive(IntervalCollection, boolean) - Method in class si.ijs.kt.clus.data.ClusSchema
- setDescriptiveAll(boolean) - Method in class si.ijs.kt.clus.data.ClusSchema
- setDisabled(String) - Method in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
- setDisabled(IntervalCollection) - Method in class si.ijs.kt.clus.data.ClusSchema
- setDistance(ClusDistance) - Method in class si.ijs.kt.clus.distance.primitive.SearchDistance
- SetDistance - Class in si.ijs.kt.clus.distance.complex
- SetDistance(SetAttrType, ClusDistance) - Constructor for class si.ijs.kt.clus.distance.complex.SetDistance
- SetDistance(ClusDistance) - Constructor for class si.ijs.kt.clus.distance.complex.SetDistance
- setDistanceToBeam(double) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- setDontCloneInstanceOf(Class<?>...) - Method in class si.ijs.kt.clus.util.cloner.Cloner
- setDouble(double) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- setDouble(int, double) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- setDoubleArray(double[]) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- setDoubleVal(double, int) - Method in class si.ijs.kt.clus.data.rows.DataTuple
- setDoubleValue(double) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrDouble
- setDoubleValueSparse(Double, Integer) - Method in class si.ijs.kt.clus.data.rows.SparseDataTuple
- setDumpCloned(IDumpCloned) - Method in class si.ijs.kt.clus.util.cloner.Cloner
-
provide a cloned classes dumper (so i.e.
- setDumpClonedClasses(boolean) - Method in class si.ijs.kt.clus.util.cloner.Cloner
-
will println() all cloned classes.
- setElementAt(int, int) - Method in class si.ijs.kt.clus.util.jeans.util.array.MyIntArray
- setElementAt(Object, int) - Method in class si.ijs.kt.clus.util.jeans.util.MyArray
- setEmptySetIndicator(String) - Static method in class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- setEnabled(boolean) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNode
- setEnabled(boolean) - Method in class si.ijs.kt.clus.util.jeans.io.MyFile
- setEnsembleBagSize(int) - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
-
Sets the size of bags for ensembles
- setEnsembleMethod(String) - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- setEnsembleMode(boolean) - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- setEnsembleRankigDescription(int) - Method in class si.ijs.kt.clus.ext.featureRanking.ensemble.ClusEnsembleFeatureRanking
- setEnsembleRankigDescription(int) - Method in class si.ijs.kt.clus.ext.featureRanking.ensemble.ClusEnsembleFeatureRankings
- setEnsembleROSForestInfo(ClusROSForestInfo) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- setEnsembleROSVotingType(SettingsEnsemble.EnsembleROSVotingType) - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- setEntropyType(SettingsTree.EntropyType) - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- setError(ClusErrorList, int) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
-
For computation of rule-wise error measures
- setError(ClusErrorList, int) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- setErrorMeasure(ClusErrorList) - Method in class si.ijs.kt.clus.pruning.SizeConstraintPruning
- setErrors(int, double, double[]) - Method in class si.ijs.kt.clus.ext.ensemble.ClusOOBWeights
- setErrors(int, ClusError) - Method in class si.ijs.kt.clus.ext.ensemble.ClusOOBWeights
- setEvalClasses(ClassesTuple) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- setExamples(ArrayList<SparseDataTuple>) - Method in class si.ijs.kt.clus.data.type.primitive.SparseNumericAttrType
- setExtraError(int, ClusErrorList) - Method in class si.ijs.kt.clus.model.ClusModelInfo
- setExtraImmutables(Set<Class<?>>) - Method in class si.ijs.kt.clus.util.cloner.Cloner
- setExtraNullInsteadOfClone(Set<Class<?>>) - Method in class si.ijs.kt.clus.util.cloner.Cloner
- setExtraStaticFields(Set<Class<?>>) - Method in class si.ijs.kt.clus.util.cloner.Cloner
-
spring framework friendly version of registerStaticFields
- setFakeLeaf(boolean) - Method in class si.ijs.kt.clus.util.jeans.tree.BinaryNode
- setFeatureRankingMethod(String) - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- setFimpHeader(String) - Method in class si.ijs.kt.clus.ext.featureRanking.ClusFeatureRanking
- setFinalResult(ArrayList<SingleStatList>, int, int) - Method in class si.ijs.kt.clus.algo.tdidt.tune.CDTuneSizeConstrPruning
- setFinished(boolean) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- setFold(int, int) - Method in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- setFolds(int) - Method in class si.ijs.kt.clus.Clus
- setFromList(ArrayList) - Method in class si.ijs.kt.clus.data.rows.RowData
- setFTest(double, int) - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- setFTestEnabled(boolean) - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- setGenes(ArrayList<Double>) - Method in class si.ijs.kt.clus.util.tools.optimization.de.DEIndividual
- setGenie3FimpHeader(ArrayList<String>) - Method in class si.ijs.kt.clus.ext.featureRanking.ensemble.ClusEnsembleFeatureRanking
- setGIS(IntervalCollection) - Method in class si.ijs.kt.clus.data.ClusSchema
- setGlobalStat(WHTDStatistic) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- setHasMissing(boolean) - Method in class si.ijs.kt.clus.pruning.SequencePruningVSB
- setHeuristic(ClusHeuristic) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
- setHeuristic(ClusHeuristic) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleInduce
- setHeuristic(ClusHeuristic) - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- setHeuristic(ClusHeuristic) - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- setHeuristic(SettingsTree.Heuristic) - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- setHeuristicRatio(int, double) - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- setHeuristicRatios(double[]) - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- setHeuristicValue(double) - Method in class si.ijs.kt.clus.model.test.NodeTest
- setHeurPrototypeDistPar(double) - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- setHeurRuleDistPar(double) - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- setHier(ClassHierarchy) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- setHierType(int) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- setHierTypeFromSettings(SettingsHMLC.HierarchyType) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- setHmcThreshold(double) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.OracleScore
-
Threshold for prediction in the context of hierarchical multi-label classification
- setHMTRHierarchy(ClusHMTRHierarchy) - Method in class si.ijs.kt.clus.data.ClusSchema
- setHMTRUsingDump(boolean) - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMTR
- setHSeparator(String) - Static method in class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- setID(int) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- setID(String) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- setIllegal(boolean) - Method in class si.ijs.kt.clus.ext.ilevelc.COPKMeansModel
- setIndex(int) - Method in class si.ijs.kt.clus.data.rows.DataTuple
- setIndex(int) - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- setIndex(int) - Method in class si.ijs.kt.clus.data.type.primitive.SparseNumericAttrType
- setIndex(int) - Method in class si.ijs.kt.clus.ext.ilevelc.COPKMeansCluster
- setIndex(int) - Method in class si.ijs.kt.clus.main.ClusRun
- setIndex(int) - Method in class si.ijs.kt.clus.util.jeans.util.compound.IndexedItem
- setIndices(int[][], ArrayList, int[], int[]) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCHeurStat
- setInductionOrder(SettingsTree.InductionOrder) - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- setInductionTime(long) - Method in class si.ijs.kt.clus.main.ClusModelInfoList
-
************************************************************************* Induction time *************************************************************************
- setInductionTimeSequential(long) - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- setInitialData(ClusStatistic, RowData) - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- setInitialData(ClusStatistic, RowData) - Method in class si.ijs.kt.clus.algo.split.FindBestTest
- setInitialData(ClusStatistic, RowData) - Method in class si.ijs.kt.clus.algo.tdidt.DepthFirstInduce
- setInitialData(ClusStatistic, RowData) - Method in class si.ijs.kt.clus.ext.bestfirst.BestFirstInduce
- setInitialData(ClusStatistic, RowData) - Method in class si.ijs.kt.clus.ext.optiontree.FindBestTests
- setInitialData(ClusStatistic, RowData) - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- setInitialData(ClusStatistic, RowData) - Method in class si.ijs.kt.clus.heuristic.ClusHeuristic
- setInitialData(ClusStatistic, RowData) - Method in class si.ijs.kt.clus.heuristic.GeneticDistanceHeuristicMatrix
- setInitialData(ClusStatistic, RowData) - Method in class si.ijs.kt.clus.heuristic.GISHeuristic
- setInitialRuleGeneratingMethod(SettingsRules.InitialRuleGeneratingMethod) - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- setInnerTypes(ClusAttrType[]) - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- setInstCoveringWeightThreshold(double) - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- setInt(int) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector
- setInt(int, int) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector
- setIntermediate(boolean) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- setIntVal(int, int) - Method in class si.ijs.kt.clus.data.rows.DataTuple
- setIntValue(int) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrInt
- setIntVector(int[]) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector
- setIS_RULE_SIG_TESTING(boolean) - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- setIsBeamUpdated(boolean) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModelDistance
- setIsInternalXValRun(boolean) - Method in class si.ijs.kt.clus.main.ClusRun
- setIsLessBetter(boolean) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.normalization.MinMaxNormalization
- setIsLessBetter(boolean) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.normalization.NoNormalization
- setIsLessBetter(boolean) - Method in interface si.ijs.kt.clus.ext.semisupervised.confidence.normalization.Normalization
-
Set to true if less is better, of false if more is better
- setIsLessBetter(boolean) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.normalization.Ranking
- setIsLessBetter(boolean) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.normalization.Standardization
- setIsUsingDump(boolean) - Method in class si.ijs.kt.clus.ext.hierarchicalmtr.ClusHMTRHierarchy
- setItemAt(ClassesValue, int) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- setItemsHistory(double) - Method in class si.ijs.kt.clus.algo.kNN.methods.vpTree.VPItem
- setIterations(int) - Method in class si.ijs.kt.clus.ext.ilevelc.COPKMeansModel
- setIterations(int) - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- setK(int) - Method in class si.ijs.kt.clus.ext.ilevelc.COPKMeansModel
- setK(int) - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- setKey(IntervalCollection) - Method in class si.ijs.kt.clus.data.ClusSchema
- setKNNAttrWeight(String) - Method in class si.ijs.kt.clus.main.settings.section.SettingsKNN
- setLastChar(int) - Method in class si.ijs.kt.clus.data.io.ClusReader
- setLeft(BinaryNode) - Method in class si.ijs.kt.clus.util.jeans.tree.BinaryNode
- setLeftSubtree(VPNode) - Method in class si.ijs.kt.clus.algo.kNN.methods.vpTree.VPNode
- setLength(int) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- setLine(String) - Method in class si.ijs.kt.clus.model.test.FakeTest
- setLine(String) - Method in class si.ijs.kt.clus.util.jeans.util.MultiDelimStringTokenizer
- setLocked(boolean) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- setM5PruningMultEnabled(boolean) - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- setMainTarget(String) - Method in class si.ijs.kt.clus.main.settings.section.SettingsSIT
- setMainTarget(ClusAttrType) - Method in interface si.ijs.kt.clus.addon.sit.mtLearner.MTLearner
-
Some model can return predictions for targets that are not included in the targetset.
- setMainTarget(ClusAttrType) - Method in class si.ijs.kt.clus.addon.sit.mtLearner.MTLearnerImpl
- setMax(double) - Method in class si.ijs.kt.clus.algo.kNN.distance.valentin.NumericStatistic
- setMaxDepth(int) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- setMaxError(double[]) - Method in class si.ijs.kt.clus.pruning.SizeConstraintPruning
- setMaxRulesNb(int) - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- setMean(double) - Method in class si.ijs.kt.clus.algo.kNN.distance.valentin.NumericStatistic
- setMean(int) - Method in class si.ijs.kt.clus.algo.kNN.distance.valentin.NominalStatistic
- setMeans(double[]) - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- setMeanTuple(boolean[]) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- setMeanTuple(ClassesTuple) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- setMedian(double) - Method in class si.ijs.kt.clus.algo.kNN.methods.vpTree.VPNode
- setMin(double) - Method in class si.ijs.kt.clus.algo.kNN.distance.valentin.NumericStatistic
- setMinDepth(int) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- setMinimalWeight(double) - Method in class si.ijs.kt.clus.main.settings.section.SettingsModel
- setMissingAttrHandlingToTrainingSet() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- setMissingClusteringAttrHandling(SettingsTree.MissingClusteringAttributeHandlingType) - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- setMissingTargetAttrHandling(SettingsTree.MissingTargetAttributeHandlingType) - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- setModel(ClusNode) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- setModel(ClusModel) - Method in class si.ijs.kt.clus.model.ClusModelInfo
- setModelInfo(int, ClusModelInfo) - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- setModelInfo(String) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
-
Set some additional model info (used in self-training, which wraps around ensembles)
- setModelPredictions(ArrayList<ClusStatistic>) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- setModels(ArrayList<ClusModel>) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- setModels(ArrayList<ClusModelInfo>) - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- setMTLearner(MTLearner) - Method in class si.ijs.kt.clus.addon.sit.searchAlgorithm.AllTargets
- setMTLearner(MTLearner) - Method in class si.ijs.kt.clus.addon.sit.searchAlgorithm.OneTarget
- setMTLearner(MTLearner) - Method in interface si.ijs.kt.clus.addon.sit.searchAlgorithm.SearchAlgorithm
- setMTLearner(MTLearner) - Method in class si.ijs.kt.clus.addon.sit.searchAlgorithm.SearchAlgorithmImpl
- setName(String) - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- setName(String) - Method in class si.ijs.kt.clus.model.ClusModelInfo
- setName(String) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNode
- setName(String) - Method in class si.ijs.kt.clus.util.jeans.tree.BinaryNode
- setNamedValue(int, String) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileInt
- setNbAttributes(int) - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- setNbBags(int) - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- setNbChildren(int) - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- setNbChildren(int) - Method in class si.ijs.kt.clus.util.jeans.tree.MyNode
- setNbExamples(int) - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- setNbExamples(int, int) - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- setNbFeatureRankings(int) - Method in class si.ijs.kt.clus.ext.featureRanking.ClusFeatureRanking
- setNbFeatureRankings(ClusSchema, ClusStatManager) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce
- setNbFeatureRankings(SettingsEnsemble.EnsembleRanking, ClusEnsembleFeatureRanking, ClusSchema, ClusStatManager, int) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce
-
Sets the number of feature rankings and the ranking description.
- setNbFolds(int) - Method in class si.ijs.kt.clus.ext.optxval.OptXValInduce
- setNbHMTRAttributes(int) - Method in class si.ijs.kt.clus.data.ClusSchema
- setNbMissing(int) - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- setNbRandomAttrSelected(int) - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- setNbRandomTargetAttrString(String) - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- setNbRows(int) - Method in class si.ijs.kt.clus.data.ClusData
- setNbRows(int) - Method in class si.ijs.kt.clus.data.cols.ColTarget
- setNbRows(int) - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- setNbRows(int) - Method in class si.ijs.kt.clus.data.type.primitive.IndexAttrType
- setNbSequences(int) - Method in class si.ijs.kt.clus.heuristic.EncodingCost
- setNbTotal(int) - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- setNext(MyList) - Method in class si.ijs.kt.clus.util.jeans.util.list.MyList
- setNode(int, ClusNode) - Method in class si.ijs.kt.clus.ext.optxval.OptXValNode
- setNodeClusters(ArrayList<ClusNode>, ArrayList<RowData>) - Method in class si.ijs.kt.clus.heuristic.EncodingCost
- setNodeIndex(int, ClusNode) - Method in class si.ijs.kt.clus.ext.optxval.OptXValNode
- setNominal(int) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- setNominal(int) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector
- setNominal(int, int) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- setNominal(int, int) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector
- setNominal(int, int, int) - Method in class si.ijs.kt.clus.data.cols.ColTarget
- setNominal(DataTuple, int) - Method in class si.ijs.kt.clus.data.type.BitwiseNominalAttrType
- setNominal(DataTuple, int) - Method in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- setNormalizationWeights(double[], double[]) - Method in class si.ijs.kt.clus.distance.primitive.SearchDistance
-
Minimal and maximal values of numeric attributes are converted to normalization weights.
- setNoRootPreds(boolean) - Method in class si.ijs.kt.clus.ext.hierarchical.HierRemoveInsigClasses
- setNullTransient(boolean) - Method in class si.ijs.kt.clus.util.cloner.Cloner
-
this makes the cloner to set a transient field to null upon cloning.
- setNumberOfPossibleValues(int) - Method in class si.ijs.kt.clus.data.type.complex.SetAttrType
- setNumberOfThreads(int) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce
-
Sets the number of threads used when inducing an ensemble.
- setNumeric(int, int, double) - Method in class si.ijs.kt.clus.data.cols.ColTarget
- setNumeric(DataTuple, double) - Method in class si.ijs.kt.clus.data.type.primitive.NumericAttrType
- setNumeric(DataTuple, double) - Method in class si.ijs.kt.clus.data.type.primitive.SparseNumericAttrType
- setNumericPrediction(double[]) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
-
Given double predictions, sets the target stat.
- setObj1(Object) - Method in class si.ijs.kt.clus.util.jeans.util.compound.DuoObject
- setObj2(Object) - Method in class si.ijs.kt.clus.util.jeans.util.compound.DuoObject
- setObject(Comparable) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamTreeElem
- setObjectVal(Object, int) - Method in class si.ijs.kt.clus.data.rows.DataTuple
- setOOBCalculation(boolean) - Method in class si.ijs.kt.clus.ext.ensemble.ClusOOBErrorEstimate
- setOOBestimate(boolean) - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- setOOBWeightsEstimates(ClusOOBWeights) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
-
OOB estimates for all ensemble members.
- SetOperations - Class in si.ijs.kt.clus.ext.structuredTypes
- SetOperations() - Constructor for class si.ijs.kt.clus.ext.structuredTypes.SetOperations
- setOppositeAlternatives(ArrayList<NodeTest>) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- setOptGDGradTreshold(double) - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
GD Treshold [0,1] for changing the gradient.
- setOptGDMaxIter(int) - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- setOptGDMaxNbWeights(int) - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
GD Maximum number of nonzero weights.
- setOptimization(ClusEnsembleInduceOptimization) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- setOptNbZeroesPar(double) - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
Optimization regularization parameter - number of zeroes
- setOptRegPar(double) - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
-
Optimization regularization parameter
- setOptWeight(double) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- setOriginalTree(ClusNode) - Method in class si.ijs.kt.clus.pruning.PruneTree
- setOrigSet(ClusData) - Method in class si.ijs.kt.clus.main.ClusRun
- setOutputClowdFlows(boolean) - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- setOutputFile(String) - Method in class si.ijs.kt.clus.pruning.SequencePruningVSB
- setOutTestError(boolean) - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- setOutTrainError(boolean) - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- setOutValidError(boolean) - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- setParent(MyNode) - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- setParent(INIFileNode) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNode
- setParent(Node) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- setParent(Node) - Method in class si.ijs.kt.clus.util.jeans.tree.BinaryNode
- setParent(Node) - Method in class si.ijs.kt.clus.util.jeans.tree.MyNode
- setParent(Node) - Method in interface si.ijs.kt.clus.util.jeans.tree.Node
- setParent(Node) - Method in class si.ijs.kt.clus.util.jeans.tree.SimpleNode
- setParent(Node) - Method in class si.ijs.kt.clus.util.jeans.tree.VisitableNode
- setParentModelIndex(int) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- setParentStat(ClusStatistic) - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreStat
- setParentStat(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.BitVectorStat
- setParentStat(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- setParentStat(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- setParentStat(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.CombStat
- setParentStat(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.CombStatClassRegHier
- setParentStat(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- setParentStat(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.RegressionStatBinaryNomiss
- setParentStatsToChildren() - Method in class si.ijs.kt.clus.algo.split.FindBestTest
-
Set parent stats to children of this node
- setParentStatsToTests() - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- setParentStatsToThis(ClusStatistic) - Method in class si.ijs.kt.clus.algo.split.FindBestTest
-
Set parent stat to this node
- setParentStatsToTotal(ClusStatistic) - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- setPath(String, int) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- setPerformRankingPerTarget(boolean) - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- setPosFreq(double) - Method in class si.ijs.kt.clus.model.test.NodeTest
- setPrepareTime(long) - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- setPreprocs(DataPreprocs) - Method in class si.ijs.kt.clus.data.rows.TupleIterator
- setPrevIndex(int) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- setPrevIndex(int) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- setPrevIndex(int) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- setPrevIndex(int) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- setPrintAllRules(boolean) - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- setPrintModels(boolean) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- setProportion(double[]) - Method in class si.ijs.kt.clus.model.test.NodeTest
- setProportion(int, double) - Method in class si.ijs.kt.clus.model.test.NodeTest
- setPrototype(INIFileSection) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileSectionGroup
- setPruneInvalid(boolean) - Method in class si.ijs.kt.clus.model.ClusModelInfo
- setPruneSet(ClusData, ClusSelection) - Method in class si.ijs.kt.clus.main.ClusRun
- setPruneSetMaxEnabled(boolean) - Method in class si.ijs.kt.clus.main.settings.section.SettingsData
- setPruneTime(long) - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- setPruningMethod(SettingsTree.PruningMethod) - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- setRandIndex(double) - Method in class si.ijs.kt.clus.ext.ilevelc.COPKMeansModel
- setRandomSeed(int) - Method in class si.ijs.kt.clus.selection.RandomSelection
- setRandomSubspaces(ClusAttrType[]) - Static method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce
- setRankingDescription(String) - Method in class si.ijs.kt.clus.ext.featureRanking.ClusFeatureRanking
- setReader(boolean) - Method in class si.ijs.kt.clus.data.ClusSchema
- setReader(boolean) - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- setReader(boolean) - Method in class si.ijs.kt.clus.util.jeans.io.range.NominalType
- setRefined(boolean) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- setRefinement(Object) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- setRelationName(String) - Method in class si.ijs.kt.clus.data.ClusSchema
- setRelativeMeasure(boolean, double) - Method in class si.ijs.kt.clus.algo.tdidt.tune.CDTuneSizeConstrPruning
- setReliefDescription(int[], int[]) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ClusReliefFeatureRanking
- setReliefFimpHeader(ArrayList<String>) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.ClusReliefFeatureRanking
- setRForestFimpHeader(ArrayList<String>) - Method in class si.ijs.kt.clus.ext.featureRanking.ensemble.ClusEnsembleFeatureRanking
- setRight(BinaryNode) - Method in class si.ijs.kt.clus.util.jeans.tree.BinaryNode
- setRightSubtree(VPNode) - Method in class si.ijs.kt.clus.algo.kNN.methods.vpTree.VPNode
- setRootStatistic(ClusStatistic) - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
-
Statistics on data
- setRootStatistic(ClusStatistic) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristic
- setRootStatistic(ClusStatistic) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristicMEstimate
- setRootStatistic(ClusStatistic) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristicMorishita
- setRootStatistic(ClusStatistic) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristicSS
- setRootStatistic(ClusStatistic) - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
-
Statistics on data
- setRootStatistic(ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.ClusHeuristic
- setRootStatistic(ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.ReducedErrorHeuristic
- setRootStatistic(ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.rules.ClusRuleHeuristicMEstimate
- setROSModelInfo(ClusROSModelInfo) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- setROSModelInfo(ClusROSModelInfo) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- setROSModelInfo(ClusROSModelInfo) - Method in class si.ijs.kt.clus.data.attweights.ClusAttributeWeights
- setRuleAddingMethod(SettingsRules.RuleAddingMethod) - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- setRuleInduceOnly(boolean) - Method in class si.ijs.kt.clus.main.ClusStatManager
- setRulePredictionMethod(SettingsRules.RulePredictionMethod) - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- setSchema(ClusSchema) - Method in class si.ijs.kt.clus.data.rows.DataTuple
- setSchema(ClusSchema) - Method in class si.ijs.kt.clus.data.rows.RowData
- setSchema(ClusSchema) - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- setScore(double) - Method in class si.ijs.kt.clus.model.ClusModelInfo
- setSDataSize(int) - Method in class si.ijs.kt.clus.algo.split.NArySplit
- setSDataSize(int) - Method in class si.ijs.kt.clus.algo.split.NominalSplit
- setSDataSize(int) - Method in class si.ijs.kt.clus.algo.split.SubsetSplit
- setSDataSize(int) - Method in class si.ijs.kt.clus.statistic.BitVectorStat
- setSDataSize(int) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- setSDataSize(int) - Method in class si.ijs.kt.clus.statistic.HierSumPairwiseDistancesStat
- setSearch(String) - Method in class si.ijs.kt.clus.main.settings.section.SettingsSIT
- setSectionBeamEnabled(boolean) - Method in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- setSectionEnsembleEnabled(boolean) - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
-
Do we print ensemble settings to output files
- setSectionExhaustiveEnabled(boolean) - Method in class si.ijs.kt.clus.main.settings.section.SettingsExhaustiveSearch
- setSectionHierarchicalEnabled(boolean) - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- setSectionHMTREnabled(boolean) - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMTR
- setSectionKNNEnabled(boolean) - Method in class si.ijs.kt.clus.main.settings.section.SettingsKNN
- setSectionKNNTEnabled(boolean) - Method in class si.ijs.kt.clus.main.settings.section.SettingsKNNTree
- setSectionMultiLabelEnabled(boolean) - Method in class si.ijs.kt.clus.main.settings.section.SettingsMLC
- setSectionOptionEnabled(boolean) - Method in class si.ijs.kt.clus.main.settings.section.SettingsOptionTree
- setSectionPhylogenyEnabled(boolean) - Method in class si.ijs.kt.clus.main.settings.section.SettingsPhylogeny
- setSectionReliefEnabled(boolean) - Method in class si.ijs.kt.clus.main.settings.section.SettingsRelief
- setSectionRulesEnabled(boolean) - Method in class si.ijs.kt.clus.main.settings.section.SettingsRules
- setSectionSITEnabled(boolean) - Method in class si.ijs.kt.clus.main.settings.section.SettingsSIT
- setSectionTimeSeriesEnabled(boolean) - Method in class si.ijs.kt.clus.main.settings.section.SettingsTimeSeries
- setSectionTreeEnabled(boolean) - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- setSelectedErrorsClone(ClusErrorList, ClusErrorList, ClusErrorList) - Method in class si.ijs.kt.clus.model.ClusModelInfo
- setSemiSupervisedMethod(SettingsSSL.SSLMethod) - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- setSemiSupervisedMode(boolean) - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- setSeparatorType(boolean) - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- setSequencePruner(PruneTree) - Method in class si.ijs.kt.clus.pruning.SequencePruningVSB
- setSet(DataTuple, Set) - Method in class si.ijs.kt.clus.data.type.complex.SetAttrType
- setSetDistance(SettingsTree.SetDistance) - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- setSettings(Settings) - Method in class si.ijs.kt.clus.addon.sit.searchAlgorithm.AllTargets
- setSettings(Settings) - Method in class si.ijs.kt.clus.addon.sit.searchAlgorithm.OneTarget
- setSettings(Settings) - Method in interface si.ijs.kt.clus.addon.sit.searchAlgorithm.SearchAlgorithm
- setSettings(Settings) - Method in class si.ijs.kt.clus.addon.sit.searchAlgorithm.SearchAlgorithmImpl
- setSettings(Settings) - Method in class si.ijs.kt.clus.data.ClusSchema
- setSetWeight(double) - Method in class si.ijs.kt.clus.ext.structuredTypes.Set
- setShouldAttach(boolean) - Method in class si.ijs.kt.clus.data.rows.TupleIterator
- setShouldSave(boolean) - Method in class si.ijs.kt.clus.model.ClusModelInfo
- setShouldWritePredictions(boolean) - Method in class si.ijs.kt.clus.model.ClusModelInfo
- setSigLevel(double) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- setSignificance(double) - Method in class si.ijs.kt.clus.ext.hierarchical.HierRemoveInsigClasses
- setSingleValue(int) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominal
- setSize(int) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- setSize(int) - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeries
-
Sets a new size for the time series
- setSize(int) - Method in class si.ijs.kt.clus.util.jeans.util.MyArray
- setSizeConstraintPruning(int) - Method in class si.ijs.kt.clus.main.settings.section.SettingsConstraints
- setSoft() - Method in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- setSpaceChars(String) - Method in class si.ijs.kt.clus.util.jeans.util.MStringTokenizer
- setSparse() - Method in class si.ijs.kt.clus.data.ClusSchema
- setSparse(boolean) - Method in class si.ijs.kt.clus.data.type.primitive.NumericAttrType
- setSpatialMatrix(SettingsTree.SpatialMatrixType) - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- setSpatialMeasure(SettingsTree.SpatialMeasure) - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- setSplit(boolean) - Method in class si.ijs.kt.clus.data.cols.attribute.ClusAttribute
- setSplitIndex(int) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- setSplitIndex(int) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- setSplitIndex(int) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- setSplitIndex(int) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- setSplitStatSVarS(double) - Method in class si.ijs.kt.clus.heuristic.ClusHeuristic
- setSSLInternalFolds(String) - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- setSSLPruningWhenTuning(String) - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- setStat(ClusStatistic) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- setStatistic(NominalStatistic) - Method in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- setStatistic(NumericStatistic) - Method in class si.ijs.kt.clus.data.type.primitive.NumericAttrType
- SetStatistic - Class in si.ijs.kt.clus.ext.structuredTypes
- SetStatistic(Settings, SetAttrType, ClusDistance, SettingsTimeSeries.TimeSeriesPrototypeComplexity) - Constructor for class si.ijs.kt.clus.ext.structuredTypes.SetStatistic
- setStatManager(ClusStatManager) - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- setStatManager(ClusStatManager) - Method in class si.ijs.kt.clus.main.ClusSummary
- setStatManager(ClusStatManager) - Method in class si.ijs.kt.clus.model.ClusModelInfo
- setStatus(ClusAttrType.Status) - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- setStatus(IntervalCollection, ClusAttrType.Status, boolean) - Method in class si.ijs.kt.clus.data.ClusSchema
- setStatusAll(ClusAttrType.Status) - Method in class si.ijs.kt.clus.data.ClusSchema
- setStopCrit(boolean) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamAttrSelector
- setStopCriterion(ClusStopCriterion) - Method in class si.ijs.kt.clus.heuristic.ClusHeuristic
- setStoppingCriteria(SettingsSSL.SSLStoppingCriteria) - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- setString(String) - Method in class si.ijs.kt.clus.util.jeans.util.MStringTokenizer
- setSuffix(String) - Method in class si.ijs.kt.clus.main.settings.section.SettingsGeneric
- setSymbolicFimpHeader(String[]) - Method in class si.ijs.kt.clus.ext.featureRanking.ensemble.ClusEnsembleFeatureRanking
- setTarget(String) - Method in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
- setTarget(ClusAttrType[]) - Method in class si.ijs.kt.clus.distance.complex.tuples.SSPDMatrix
- setTarget(IntervalCollection) - Method in class si.ijs.kt.clus.data.ClusSchema
- setTargetDistance(double) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.nearestNeighbour.NearestNeighbour
-
Deprecated.
- setTargetStat(ClusStatistic) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- setTargetStat(ClusStatistic) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- setTargetStat(ClusStatistic) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- setTargetStat(ClusStatistic) - Method in class si.ijs.kt.clus.ext.optiontree.MyNode
- setTargetStatistic(ClusStatistic) - Method in class si.ijs.kt.clus.main.ClusStatManager
- setTest(int, NodeTest) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- setTest(NodeTest) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- setTest(NodeTest) - Method in class si.ijs.kt.clus.ext.optiontree.ClusSplitNode
- setTest(NodeTest) - Method in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- setTest(NodeTest) - Method in class si.ijs.kt.clus.ext.optxval.OptXValSplit
- setTestData(RowData) - Method in interface si.ijs.kt.clus.addon.sit.mtLearner.MTLearner
- setTestData(RowData) - Method in class si.ijs.kt.clus.addon.sit.mtLearner.MTLearnerImpl
-
Sets the testdata to test
- setTestError(ClusErrorList) - Method in class si.ijs.kt.clus.main.ClusSummary
- setTestError(ClusErrorList) - Method in class si.ijs.kt.clus.model.ClusModelInfo
- setTesting(boolean) - Method in class si.ijs.kt.clus.data.rows.DataTuple
- setTestSet(int) - Method in class si.ijs.kt.clus.data.ClusSchema
- setTestSet(TupleIterator) - Method in class si.ijs.kt.clus.main.ClusRun
-
Test set
- setTestSet(ClusRun) - Method in class si.ijs.kt.clus.ext.semisupervised.ClusSemiSupervisedInduce
- setThreshold(double) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- setThresholds(double) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- setThresholds(double) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- setThresholds(double[]) - Method in class si.ijs.kt.clus.error.ROCAndPRCurve
- setThresholds(double[]) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- setTimeBudget(int) - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- setTimeSeries(DataTuple, TimeSeries) - Method in class si.ijs.kt.clus.data.type.primitive.TimeSeriesAttrType
- setTimeSeriesDistance(SettingsTimeSeries.TimeSeriesDistanceMeasure) - Method in class si.ijs.kt.clus.main.settings.section.SettingsTimeSeries
- Settings - Class in si.ijs.kt.clus.main.settings
-
All the settings.
- Settings() - Constructor for class si.ijs.kt.clus.main.settings.Settings
- SettingsAttribute - Class in si.ijs.kt.clus.main.settings.section
- SettingsAttribute(int) - Constructor for class si.ijs.kt.clus.main.settings.section.SettingsAttribute
- SettingsBase - Class in si.ijs.kt.clus.main.settings
- SettingsBase(int, String) - Constructor for class si.ijs.kt.clus.main.settings.SettingsBase
- SettingsBase.YesNo - Enum Class in si.ijs.kt.clus.main.settings
- SettingsBeamSearch - Class in si.ijs.kt.clus.main.settings.section
- SettingsBeamSearch(int) - Constructor for class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- SettingsConstraints - Class in si.ijs.kt.clus.main.settings.section
- SettingsConstraints(int) - Constructor for class si.ijs.kt.clus.main.settings.section.SettingsConstraints
- SettingsData - Class in si.ijs.kt.clus.main.settings.section
- SettingsData(int) - Constructor for class si.ijs.kt.clus.main.settings.section.SettingsData
- SettingsData.NormalizeDataValues - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsEnsemble - Class in si.ijs.kt.clus.main.settings.section
- SettingsEnsemble(int) - Constructor for class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- SettingsEnsemble.EnsembleBootstrapping - Enum Class in si.ijs.kt.clus.main.settings.section
-
Section: Ensemble methods *
- SettingsEnsemble.EnsembleMethod - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsEnsemble.EnsembleRanking - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsEnsemble.EnsembleROSAlgorithmType - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsEnsemble.EnsembleROSVotingType - Enum Class in si.ijs.kt.clus.main.settings.section
-
How ROS ensemble make predictions
- SettingsEnsemble.EnsembleVotingType - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsEnsemble.RandomAttributeTypeSelection - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsExhaustiveSearch - Class in si.ijs.kt.clus.main.settings.section
- SettingsExhaustiveSearch(int) - Constructor for class si.ijs.kt.clus.main.settings.section.SettingsExhaustiveSearch
- SettingsExperimental - Class in si.ijs.kt.clus.main.settings.section
- SettingsExperimental(int) - Constructor for class si.ijs.kt.clus.main.settings.section.SettingsExperimental
- SettingsGeneral - Class in si.ijs.kt.clus.main.settings.section
- SettingsGeneral(int) - Constructor for class si.ijs.kt.clus.main.settings.section.SettingsGeneral
- SettingsGeneral.ResourceInfoLoad - Enum Class in si.ijs.kt.clus.main.settings.section
-
Section: General - ResourceInfo loaded *
- SettingsGeneric - Class in si.ijs.kt.clus.main.settings.section
- SettingsGeneric(SettingsOutput) - Constructor for class si.ijs.kt.clus.main.settings.section.SettingsGeneric
- SettingsHMLC - Class in si.ijs.kt.clus.main.settings.section
- SettingsHMLC(int) - Constructor for class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- SettingsHMLC.HierarchyDistance - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsHMLC.HierarchyMeasures - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsHMLC.HierarchyType - Enum Class in si.ijs.kt.clus.main.settings.section
-
Section: Hierarchical multi-label classification *
- SettingsHMLC.HierarchyWeight - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsHMTR - Class in si.ijs.kt.clus.main.settings.section
- SettingsHMTR(int, SettingsAttribute, SettingsGeneral) - Constructor for class si.ijs.kt.clus.main.settings.section.SettingsHMTR
- SettingsHMTR.HierarchyAggregationsHMTR - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsHMTR.HierarchyDistanceHMTR - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsHMTR.HierarchyTypesHMTR - Enum Class in si.ijs.kt.clus.main.settings.section
-
Section: Hierarchical multi-target regression *
- SettingsILevelC - Class in si.ijs.kt.clus.main.settings.section
- SettingsILevelC(int) - Constructor for class si.ijs.kt.clus.main.settings.section.SettingsILevelC
- SettingsKNN - Class in si.ijs.kt.clus.main.settings.section
- SettingsKNN(int) - Constructor for class si.ijs.kt.clus.main.settings.section.SettingsKNN
- SettingsKNN.Distance - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsKNN.DistanceWeights - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsKNN.SearchMethod - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsKNNTree - Class in si.ijs.kt.clus.main.settings.section
- SettingsKNNTree(int) - Constructor for class si.ijs.kt.clus.main.settings.section.SettingsKNNTree
- SettingsMLC - Class in si.ijs.kt.clus.main.settings.section
- SettingsMLC(int, SettingsHMLC, SettingsRelief) - Constructor for class si.ijs.kt.clus.main.settings.section.SettingsMLC
- SettingsMLC.MultiLabelMeasures - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsMLC.MultiLabelThresholdOptimization - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsModel - Class in si.ijs.kt.clus.main.settings.section
- SettingsModel(int) - Constructor for class si.ijs.kt.clus.main.settings.section.SettingsModel
- SettingsNominal - Class in si.ijs.kt.clus.main.settings.section
- SettingsNominal(int) - Constructor for class si.ijs.kt.clus.main.settings.section.SettingsNominal
- SettingsOptionTree - Class in si.ijs.kt.clus.main.settings.section
- SettingsOptionTree(int) - Constructor for class si.ijs.kt.clus.main.settings.section.SettingsOptionTree
- SettingsOutput - Class in si.ijs.kt.clus.main.settings.section
- SettingsOutput(int) - Constructor for class si.ijs.kt.clus.main.settings.section.SettingsOutput
- SettingsOutput.ConvertRules - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsOutput.PythonModelType - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsOutput.ShowInfo - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsOutput.ShowModels - Enum Class in si.ijs.kt.clus.main.settings.section
-
Section: Output - Show info in .out file *
- SettingsOutput.WritePredictions - Enum Class in si.ijs.kt.clus.main.settings.section
-
Section: Output - Write predictions to file *
- SettingsPhylogeny - Class in si.ijs.kt.clus.main.settings.section
- SettingsPhylogeny(int) - Constructor for class si.ijs.kt.clus.main.settings.section.SettingsPhylogeny
- SettingsPhylogeny.PhylogenyCriterion - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsPhylogeny.PhylogenyDistanceMeasure - Enum Class in si.ijs.kt.clus.main.settings.section
-
Section: Phylogeny *
- SettingsPhylogeny.PhylogenySequence - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsRelief - Class in si.ijs.kt.clus.main.settings.section
- SettingsRelief(int) - Constructor for class si.ijs.kt.clus.main.settings.section.SettingsRelief
- SettingsRelief.MissingTargetHandling - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsRelief.MultilabelDistance - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsRelief.ReliefStatisticsType - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsRules - Class in si.ijs.kt.clus.main.settings.section
- SettingsRules(int) - Constructor for class si.ijs.kt.clus.main.settings.section.SettingsRules
- SettingsRules.CoveringMethod - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsRules.GDExternalMethodValues - Enum Class in si.ijs.kt.clus.main.settings.section
-
For external GD binary, do we use GD or brute force method
- SettingsRules.InitialRuleGeneratingMethod - Enum Class in si.ijs.kt.clus.main.settings.section
-
How the initial rules are generated when using SampledRuleSet covering method
- SettingsRules.OptimizationGDAddLinearTerms - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsRules.OptimizationGDMTCombineGradient - Enum Class in si.ijs.kt.clus.main.settings.section
-
GD optimization.
- SettingsRules.OptimizationLinearTermNormalizeValues - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsRules.OptimizationLossFunction - Enum Class in si.ijs.kt.clus.main.settings.section
-
WEIGHT OPTIMIZATION Differential evolution algorithm
- SettingsRules.OptimizationNormalization - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsRules.RuleAddingMethod - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsRules.RulePredictionMethod - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsSIT - Class in si.ijs.kt.clus.main.settings.section
- SettingsSIT(int) - Constructor for class si.ijs.kt.clus.main.settings.section.SettingsSIT
- SettingsSSL - Class in si.ijs.kt.clus.main.settings.section
- SettingsSSL(int) - Constructor for class si.ijs.kt.clus.main.settings.section.SettingsSSL
- SettingsSSL.SSLAggregation - Enum Class in si.ijs.kt.clus.main.settings.section
-
Aggregation of per target reliability scores
- SettingsSSL.SSLConfidenceMeasure - Enum Class in si.ijs.kt.clus.main.settings.section
-
Confidence (i.e., reliability) score for Self-Training
- SettingsSSL.SSLMethod - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsSSL.SSLNormalization - Enum Class in si.ijs.kt.clus.main.settings.section
-
Normalization of per target reliability scores
- SettingsSSL.SSLOOBErrorCalculation - Enum Class in si.ijs.kt.clus.main.settings.section
-
Specifies which data will be used for calculation of OOB error, only originally labeled data or all examples (including the ones with predicted labeles with Self-training
- SettingsSSL.SSLStoppingCriteria - Enum Class in si.ijs.kt.clus.main.settings.section
-
Stopping criteria for self training
- SettingsSSL.SSLUnlabeledCriteria - Enum Class in si.ijs.kt.clus.main.settings.section
-
unlabeled criteria is the criteria by which the unlabeled data will be added to the training set (used by the Self Training algorithm)
- SettingsTimeSeries - Class in si.ijs.kt.clus.main.settings.section
- SettingsTimeSeries(int) - Constructor for class si.ijs.kt.clus.main.settings.section.SettingsTimeSeries
- SettingsTimeSeries.TimeSeriesDistanceMeasure - Enum Class in si.ijs.kt.clus.main.settings.section
-
Section: Time series *
- SettingsTimeSeries.TimeSeriesPrototypeComplexity - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsTree - Class in si.ijs.kt.clus.main.settings.section
- SettingsTree(int) - Constructor for class si.ijs.kt.clus.main.settings.section.SettingsTree
- SettingsTree.EntropyType - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsTree.Heuristic - Enum Class in si.ijs.kt.clus.main.settings.section
-
Section: Tree - Heuristic *
- SettingsTree.InductionOrder - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsTree.MissingClusteringAttributeHandlingType - Enum Class in si.ijs.kt.clus.main.settings.section
-
Determines how we handle the case where when searching evaluating candidate split all examples have only missing values for a clustering attriute, in one of the branches.
- SettingsTree.MissingTargetAttributeHandlingType - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsTree.PruningMethod - Enum Class in si.ijs.kt.clus.main.settings.section
-
Section: Tree - Pruning method *
- SettingsTree.SetDistance - Enum Class in si.ijs.kt.clus.main.settings.section
-
Section: Tree - SetDistance *
- SettingsTree.SpatialMatrixType - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsTree.SpatialMeasure - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsTree.SplitPositions - Enum Class in si.ijs.kt.clus.main.settings.section
- SettingsTree.TimeSeriesDistanceMeasure - Enum Class in si.ijs.kt.clus.main.settings.section
-
Section: Tree - TimeSeriesDistance *
- SettingsTree.TreeOptimizeValues - Enum Class in si.ijs.kt.clus.main.settings.section
-
Section: Tree *
- SettingsTree.TupleDistance - Enum Class in si.ijs.kt.clus.main.settings.section
-
Section: Tree - TupleDistance *
- setToAllMultiLabelRankingMeasures() - Method in class si.ijs.kt.clus.main.settings.section.SettingsMLC
- setToMissing(DataTuple) - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- setToMissing(DataTuple) - Method in class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrType
- setToMissing(DataTuple) - Method in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- setToMissing(DataTuple) - Method in class si.ijs.kt.clus.data.type.primitive.NumericAttrType
- setTotalRuns(int) - Method in class si.ijs.kt.clus.main.ClusSummary
- setTotalWeight(double) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- setTotalWeight(double) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- setTrainData(RowData) - Method in class si.ijs.kt.clus.heuristic.ClusHeuristic
- setTrainDataHeurValue(double) - Method in class si.ijs.kt.clus.heuristic.ClusHeuristic
- setTrainError(ClusErrorList) - Method in class si.ijs.kt.clus.main.ClusSummary
- setTrainError(ClusErrorList) - Method in class si.ijs.kt.clus.model.ClusModelInfo
- setTrainErrorScore() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
-
Calculates TrainErrorScore - average of error rates across all target attributes on the all training data covered by this rule (kind of ...).
- setTrainErrorScore() - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
Sets TrainErrorScore in all rules which is to be used in some schemes (AccuracyWeighted) for combining predictions of multiple (unordered) rules.
- setTraining(boolean) - Method in class si.ijs.kt.clus.data.rows.DataTuple
- setTrainingData(RowData) - Method in class si.ijs.kt.clus.pruning.C45Pruner
- setTrainingData(RowData) - Method in class si.ijs.kt.clus.pruning.EncodingCostPruning
- setTrainingData(RowData) - Method in class si.ijs.kt.clus.pruning.M5Pruner
- setTrainingData(RowData) - Method in class si.ijs.kt.clus.pruning.M5PrunerMulti
- setTrainingData(RowData) - Method in class si.ijs.kt.clus.pruning.PruneTree
- setTrainingData(RowData) - Method in class si.ijs.kt.clus.pruning.SizeConstraintPruning
- setTrainingSet(ClusData) - Method in class si.ijs.kt.clus.main.ClusRun
- setTrainingSet(RowData, int) - Method in class si.ijs.kt.clus.ext.semisupervised.confidence.regression.RForestProximities
- setTrainingStat(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- setTrainingStat(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- setTrainingStat(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.CombStat
- setTrainingStat(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.CombStatClassRegHier
- setTrainingStat(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.GISStat
-
Deprecated.
- setTrainingStat(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- setTrainingStat(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- setTreeMaxDepth(int) - Method in class si.ijs.kt.clus.main.settings.section.SettingsConstraints
-
For tree to rules procedure, we want to induce a tree without maximum depth
- setTreeOffset(double) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamHeuristic
- setTreeSplitSampling(int) - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
-
To find the best split, heuristic can be calculated on a random sample of the training set to conserve time
- setTSDistance(SettingsTree.TimeSeriesDistanceMeasure) - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- setTSWeight(double) - Method in class si.ijs.kt.clus.ext.structuredTypes.Tuple
- setTSWeight(double) - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeries
- setTuple(DataTuple, int) - Method in class si.ijs.kt.clus.data.rows.RowData
- setTuple(DataTuple, Tuple) - Method in class si.ijs.kt.clus.data.type.complex.TupleAttrType
- setTupleDistance(SettingsTree.TupleDistance) - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- setTuples(LinkedList<DataTuple>) - Method in class si.ijs.kt.clus.algo.kNN.methods.kdTree.KDNode
-
Set tuples belonging to this node.
- setType(int) - Static method in class si.ijs.kt.clus.model.processor.ClusEnsemblePredictionWriter
- setType(ClusAttrType) - Method in class si.ijs.kt.clus.ext.optxval.SoftNumericTest
- setType(ClusAttrType) - Method in class si.ijs.kt.clus.model.test.ClusRuleConstraintInduceTest
- setType(ClusAttrType) - Method in class si.ijs.kt.clus.model.test.FakeTest
- setType(ClusAttrType) - Method in class si.ijs.kt.clus.model.test.NodeTest
- setType(ClusAttrType) - Method in class si.ijs.kt.clus.model.test.NominalTest
- setType(ClusAttrType) - Method in class si.ijs.kt.clus.model.test.NumericTest
- setType(ClusAttrType) - Method in class si.ijs.kt.clus.model.test.SubsetTest
- setType(ClassesAttrType) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- setTypeDefinition(String) - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- setTypeDefinition(String) - Method in class si.ijs.kt.clus.data.type.complex.SetAttrType
- setUnknownFreq(double) - Method in class si.ijs.kt.clus.model.test.NodeTest
- setUnlabeledCriteria(SettingsSSL.SSLUnlabeledCriteria) - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- setUnlabeledSet(TupleIterator) - Method in class si.ijs.kt.clus.main.ClusRun
-
Unlabeled set
- setValidationError(ClusErrorList) - Method in class si.ijs.kt.clus.main.ClusSummary
- setValidationError(ClusErrorList) - Method in class si.ijs.kt.clus.model.ClusModelInfo
- setValidationStat(WHTDStatistic) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- setValue(boolean) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileBool
- setValue(double) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- setValue(double) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileDouble
- setValue(int) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileInt
- setValue(int) - Method in class si.ijs.kt.clus.util.jeans.util.compound.IntObject
- setValue(int, double) - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeries
- setValue(int, int) - Method in class si.ijs.kt.clus.data.type.primitive.IndexAttrType
- setValue(int, int) - Method in class si.ijs.kt.clus.model.test.SubsetTest
- setValue(int, Object) - Method in class si.ijs.kt.clus.ext.structuredTypes.Tuple
- setValue(int, String) - Method in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- setValue(String) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileArray
- setValue(String) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileBool
- setValue(String) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileDouble
- setValue(String) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileEntry
- setValue(String) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileEnum
- setValue(String) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileEnumList
- setValue(String) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileInt
- setValue(String) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominal
- setValue(String) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- setValue(String) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector
- setValue(String) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileString
- setValue(String) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrDouble
- setValue(String) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrInt
- setValue(List<T>) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileEnumList
- setValue(DataTuple, ClassesTuple) - Method in class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrType
- setValue(T) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileEnum
- setValueCheck(ValueCheck) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileDouble
- setValueCheck(ValueCheck) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileInt
- setValues(double[]) - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeries
- setValues(int[]) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominal
- setValues(Object[]) - Method in class si.ijs.kt.clus.ext.structuredTypes.Set
- setValues(Object[]) - Method in class si.ijs.kt.clus.ext.structuredTypes.Tuple
- setVariance(double) - Method in class si.ijs.kt.clus.algo.kNN.distance.valentin.NumericStatistic
- setVector(int) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector
- setVector(int) - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector
- setVerbose(boolean) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- setVerbose(boolean) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- setVisitor(Object) - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- setVisitor(Object) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- setVisitor(Object, int) - Method in class si.ijs.kt.clus.util.jeans.util.Visitable
- setVotes(ArrayList) - Static method in class si.ijs.kt.clus.model.processor.ClusEnsemblePredictionWriter
- setWeight(double) - Method in class si.ijs.kt.clus.data.rows.DataTuple
- setWeight(int, double) - Method in class si.ijs.kt.clus.data.attweights.ClusAttributeWeights
- setWeight(ClusAttrType, double) - Method in class si.ijs.kt.clus.data.attweights.ClusAttributeWeights
- setWeighting(AttributeWeighting) - Method in class si.ijs.kt.clus.distance.ClusDistance
- setWeights(double[]) - Method in class si.ijs.kt.clus.algo.rules.probabilistic.ClusRuleProbabilisticRuleSetInduceWeights
- setWeights(ClusAttributeWeights) - Method in class si.ijs.kt.clus.error.common.ClusError
- setWeights(ClusAttributeWeights) - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- setWeights(ClusAttributeWeights) - Method in class si.ijs.kt.clus.error.MSError
- setWeights(ClusAttributeWeights) - Method in class si.ijs.kt.clus.error.sets.Accuracy
- setWeights(ClusAttributeWeights) - Method in class si.ijs.kt.clus.error.sets.F1Score
- setWeights(ClusAttributeWeights) - Method in class si.ijs.kt.clus.error.sets.HammingLossError
- setWeights(ClusAttributeWeights) - Method in class si.ijs.kt.clus.error.sets.Precision
- setWeights(ClusAttributeWeights) - Method in class si.ijs.kt.clus.error.sets.Recall
- setWeights(ClusAttributeWeights) - Method in class si.ijs.kt.clus.error.sets.SubsetAccuracy
- setWeights(ClusAttributeWeights, ClusAttrType[], double) - Method in class si.ijs.kt.clus.ext.semisupervised.ClusSemiSupervisedPCTs
- setWriteOOBFile(boolean) - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- setX(double) - Method in class si.ijs.kt.clus.util.jeans.math.SingleStatList
- setXValFolds(int) - Method in class si.ijs.kt.clus.main.settings.section.SettingsData
- setY(double) - Method in class si.ijs.kt.clus.util.jeans.math.SingleStatList
- severe(String) - Static method in class si.ijs.kt.clus.util.ClusLogger
- shallowClone(T) - Method in class si.ijs.kt.clus.util.cloner.Cloner
-
shallow clones "o".
- shallowCloneData() - Method in class si.ijs.kt.clus.data.rows.RowData
- shared() - Static method in class si.ijs.kt.clus.util.cloner.Cloner
- shouldAttach() - Method in class si.ijs.kt.clus.data.rows.TupleIterator
- shouldBeLow() - Method in class si.ijs.kt.clus.error.AbsoluteError
- shouldBeLow() - Method in class si.ijs.kt.clus.error.Accuracy
- shouldBeLow() - Method in class si.ijs.kt.clus.error.AvgDistancesError
- shouldBeLow() - Method in class si.ijs.kt.clus.error.ClusSumError
- shouldBeLow() - Method in class si.ijs.kt.clus.error.common.ClusError
-
Should this error be minimized (e.g.
- shouldBeLow() - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreWrapper
- shouldBeLow() - Method in class si.ijs.kt.clus.error.ContingencyTable
- shouldBeLow() - Method in class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy
- shouldBeLow() - Method in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- shouldBeLow() - Method in class si.ijs.kt.clus.error.hmlc.HierLevelAccuracy
- shouldBeLow() - Method in class si.ijs.kt.clus.error.ICVPairwiseDistancesError
- shouldBeLow() - Method in class si.ijs.kt.clus.error.MisclassificationError
- shouldBeLow() - Method in class si.ijs.kt.clus.error.mlc.AveragePrecision
- shouldBeLow() - Method in class si.ijs.kt.clus.error.mlc.Coverage
- shouldBeLow() - Method in class si.ijs.kt.clus.error.mlc.HammingLoss
- shouldBeLow() - Method in class si.ijs.kt.clus.error.mlc.MacroFOne
- shouldBeLow() - Method in class si.ijs.kt.clus.error.mlc.MacroPrecision
- shouldBeLow() - Method in class si.ijs.kt.clus.error.mlc.MacroRecall
- shouldBeLow() - Method in class si.ijs.kt.clus.error.mlc.MicroFOne
- shouldBeLow() - Method in class si.ijs.kt.clus.error.mlc.MicroPrecision
- shouldBeLow() - Method in class si.ijs.kt.clus.error.mlc.MicroRecall
- shouldBeLow() - Method in class si.ijs.kt.clus.error.mlc.MLAccuracy
- shouldBeLow() - Method in class si.ijs.kt.clus.error.mlc.MLFOneMeasure
- shouldBeLow() - Method in class si.ijs.kt.clus.error.mlc.MLPrecision
- shouldBeLow() - Method in class si.ijs.kt.clus.error.mlc.MLRecall
- shouldBeLow() - Method in class si.ijs.kt.clus.error.mlc.MLROCAndPRCurve
- shouldBeLow() - Method in class si.ijs.kt.clus.error.mlc.OneError
- shouldBeLow() - Method in class si.ijs.kt.clus.error.mlc.RankingLoss
- shouldBeLow() - Method in class si.ijs.kt.clus.error.mlc.SubsetAccuracy
- shouldBeLow() - Method in class si.ijs.kt.clus.error.mlcForHmlc.MlcMeasuresForHmlc
- shouldBeLow() - Method in class si.ijs.kt.clus.error.MSError
- shouldBeLow() - Method in class si.ijs.kt.clus.error.MSNominalError
- shouldBeLow() - Method in class si.ijs.kt.clus.error.NominalCorrelation
- shouldBeLow() - Method in class si.ijs.kt.clus.error.PearsonCorrelation
- shouldBeLow() - Method in class si.ijs.kt.clus.error.RelativeError
- shouldBeLow() - Method in class si.ijs.kt.clus.error.sets.Accuracy
- shouldBeLow() - Method in class si.ijs.kt.clus.error.sets.F1Score
- shouldBeLow() - Method in class si.ijs.kt.clus.error.sets.HammingLossError
- shouldBeLow() - Method in class si.ijs.kt.clus.error.sets.Precision
- shouldBeLow() - Method in class si.ijs.kt.clus.error.sets.Recall
- shouldBeLow() - Method in class si.ijs.kt.clus.error.sets.SubsetAccuracy
- shouldBeLow() - Method in class si.ijs.kt.clus.error.SpearmanRankCorrelation
- shouldBeLow() - Method in class si.ijs.kt.clus.error.SpearmanRankCorrelationPerExample
- shouldBeLow() - Method in class si.ijs.kt.clus.error.WAHNDError
- shouldBeLow() - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCRandIndex
- shouldBeLow() - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesSignificantChangeTesterXVAL
- shouldCalibrateHmcThreshold() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
-
Should calibrate HMC threshold so that the difference between label cardinality of labeled examples and predicted unlabeled examples is minimal
- shouldComputeSpearman() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- shouldEstimate(double, double) - Method in class si.ijs.kt.clus.statistic.RegressionStat
-
Should the variance be calculated, or estimated (for example if all examples have missing values)
- shouldEstimateOOB() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- shouldForceInternalXVal() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- shouldInduceMain() - Method in class si.ijs.kt.clus.main.settings.section.SettingsSSL
- shouldLoadNeighbours() - Method in class si.ijs.kt.clus.main.settings.section.SettingsKNN
- shouldOptimizeEnsemble() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- shouldPerformRanking() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- shouldPerformRankingPerTarget() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- shouldProcessModel(ClusModelInfo) - Method in class si.ijs.kt.clus.model.processor.ClusModelProcessor
- shouldProcessModel(ClusModelInfo) - Method in class si.ijs.kt.clus.model.processor.PredictionWriter
- shouldPruneInvalid() - Method in class si.ijs.kt.clus.model.ClusModelInfo
- shouldRunThresholdOptimization() - Method in class si.ijs.kt.clus.main.settings.section.SettingsMLC
- shouldSave() - Method in class si.ijs.kt.clus.model.ClusModelInfo
- shouldSaveNeighbours() - Method in class si.ijs.kt.clus.main.settings.section.SettingsKNN
- shouldShowModel(int) - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- shouldShowThresholds() - Method in class si.ijs.kt.clus.main.settings.section.SettingsMLC
- shouldShowThresholds(String) - Method in class si.ijs.kt.clus.main.settings.section.SettingsMLC
- shouldSortRankingByRelevance() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- shouldUseIndicesInNames() - Method in class si.ijs.kt.clus.main.settings.section.SettingsRelief
- shouldWritePerBagModelFiles() - Method in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- shouldWritePredictions() - Method in class si.ijs.kt.clus.model.ClusModelInfo
- shouldWritePredictionsFromEnsemble() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- show() - Static method in class si.ijs.kt.clus.main.ClusStat
- show(PrintWriter) - Method in class si.ijs.kt.clus.main.settings.Settings
- SHOW_BRANCH_FREQ - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- SHOW_DISTRIBUTION - Variable in class si.ijs.kt.clus.statistic.StatisticPrintInfo
- SHOW_EXAMPLE_COUNT - Variable in class si.ijs.kt.clus.statistic.StatisticPrintInfo
- SHOW_EXAMPLE_COUNT_BYTARGET - Variable in class si.ijs.kt.clus.statistic.StatisticPrintInfo
- SHOW_INDEX - Variable in class si.ijs.kt.clus.statistic.StatisticPrintInfo
- SHOW_INDUCE_PROGRESS - Static variable in class si.ijs.kt.clus.algo.tdidt.DepthFirstInduce
- SHOW_KEY - Variable in class si.ijs.kt.clus.statistic.StatisticPrintInfo
- SHOW_UNKNOWN_FREQ - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsOutput
- SHOW_XVAL_FOREST - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsExperimental
-
Cross-validaiton *
- showAccuracy(PrintWriter, int) - Method in class si.ijs.kt.clus.error.ContingencyTable
- showAlternatives(PrintWriter) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- showAlternativeSplits() - Method in class si.ijs.kt.clus.main.settings.section.SettingsTree
- showContTable(PrintWriter, int) - Method in class si.ijs.kt.clus.error.ContingencyTable
- showDebug() - Method in class si.ijs.kt.clus.Clus
- showDebug() - Method in class si.ijs.kt.clus.data.ClusSchema
- showDebug(ClusSchema) - Method in class si.ijs.kt.clus.data.rows.RowData
- showDefaultError(PrintWriter, boolean) - Method in class si.ijs.kt.clus.error.AbsoluteError
- showDoubleArray(double[]) - Method in class si.ijs.kt.clus.error.common.ClusError
- showDoubleArray(double[], double) - Method in class si.ijs.kt.clus.error.common.ClusError
- showDoubleArray(double[], double[]) - Method in class si.ijs.kt.clus.error.common.ClusError
- showError(PrintWriter) - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- showError(ClusModelInfoList, int, String, PrintWriter, Settings) - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- showErrorBrief(ClusModelInfoList, int, PrintWriter) - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- showFoldsInfo(PrintWriter, Object) - Static method in class si.ijs.kt.clus.ext.optxval.OptXVal
-
Deprecated.
- showForest() - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- showForest(PrintWriter, OptXValNode) - Static method in class si.ijs.kt.clus.ext.optxval.OptXVal
-
Deprecated.
- showHelp() - Method in class si.ijs.kt.clus.addon.hmc.ClusAmandaRules.ClusAmandaRules
- showHelp() - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageSingleClass
- showHelp() - Method in class si.ijs.kt.clus.addon.hmc.HMCNodeWiseModels.hmcnwmodels.HMCNodeWiseModels
- showHelp() - Method in class si.ijs.kt.clus.addon.sit.Sit
- showHelp() - Method in class si.ijs.kt.clus.Clus
- showHelp() - Static method in class si.ijs.kt.clus.util.ClusMisc
- showHelp() - Method in interface si.ijs.kt.clus.util.jeans.util.cmdline.CMDLineArgsProvider
- showInfo() - Method in class si.ijs.kt.clus.Clus
- showModel(String) - Method in class si.ijs.kt.clus.Clus
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.AbsoluteError
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.AvgDistancesError
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.common.ClusError
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreWrapper
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.ContingencyTable
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.hmlc.HierLevelAccuracy
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.ICVPairwiseDistancesError
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.mlc.AveragePrecision
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.mlc.Coverage
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.mlc.HammingLoss
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.mlc.MacroFOne
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.mlc.MacroPrecision
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.mlc.MacroRecall
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.mlc.MicroFOne
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.mlc.MicroPrecision
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.mlc.MicroRecall
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.mlc.MLAccuracy
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.mlc.MLaverageAUPRC
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.mlc.MLaverageAUROC
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.mlc.MLFOneMeasure
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.mlc.MLpooledAUPRC
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.mlc.MLPrecision
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.mlc.MLRecall
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.mlc.MLROCAndPRCurve
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.mlc.MLweightedAUPRC
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.mlc.OneError
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.mlc.RankingLoss
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.mlc.SubsetAccuracy
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MlcMeasuresForHmlc
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.MSError
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.MSNominalError
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.PearsonCorrelation
-
Compute Pearson correlation coefficient
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.RRMSError
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.sets.Accuracy
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.sets.F1Score
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.sets.HammingLossError
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.sets.Precision
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.sets.Recall
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.sets.SubsetAccuracy
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.SpearmanRankCorrelation
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.WAHNDError
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCRandIndex
- showModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesSignificantChangeTesterXVAL
- showModelError(PrintWriter, String, int) - Method in class si.ijs.kt.clus.error.common.ClusError
-
Display
- showModelError(PrintWriter, String, int) - Method in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- showModelError(PrintWriter, String, int) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MlcMeasuresForHmlc
- showModelInfos() - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- showPath(int[]) - Static method in class si.ijs.kt.clus.util.jeans.tree.MyNode
- showPath(int[], PrintWriter) - Static method in class si.ijs.kt.clus.util.jeans.tree.MyNode
- showRelativeError(PrintWriter, boolean) - Method in class si.ijs.kt.clus.error.AbsoluteError
- showRelativeModelError(PrintWriter, int) - Method in class si.ijs.kt.clus.error.common.ClusError
- showRootInfo() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- showRootInfo() - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- showSummary() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- showSummaryError(PrintWriter, boolean) - Method in class si.ijs.kt.clus.error.AbsoluteError
- showSummaryError(PrintWriter, boolean) - Method in class si.ijs.kt.clus.error.Accuracy
- showSummaryError(PrintWriter, boolean) - Method in class si.ijs.kt.clus.error.ContingencyTable
- showSummaryError(PrintWriter, boolean) - Method in class si.ijs.kt.clus.error.mlc.AveragePrecision
- showSummaryError(PrintWriter, boolean) - Method in class si.ijs.kt.clus.error.mlc.Coverage
- showSummaryError(PrintWriter, boolean) - Method in class si.ijs.kt.clus.error.mlc.HammingLoss
- showSummaryError(PrintWriter, boolean) - Method in class si.ijs.kt.clus.error.mlc.MacroFOne
- showSummaryError(PrintWriter, boolean) - Method in class si.ijs.kt.clus.error.mlc.MacroPrecision
- showSummaryError(PrintWriter, boolean) - Method in class si.ijs.kt.clus.error.mlc.MacroRecall
- showSummaryError(PrintWriter, boolean) - Method in class si.ijs.kt.clus.error.mlc.MicroFOne
- showSummaryError(PrintWriter, boolean) - Method in class si.ijs.kt.clus.error.mlc.MicroPrecision
- showSummaryError(PrintWriter, boolean) - Method in class si.ijs.kt.clus.error.mlc.MicroRecall
- showSummaryError(PrintWriter, boolean) - Method in class si.ijs.kt.clus.error.mlc.MLAccuracy
- showSummaryError(PrintWriter, boolean) - Method in class si.ijs.kt.clus.error.mlc.MLFOneMeasure
- showSummaryError(PrintWriter, boolean) - Method in class si.ijs.kt.clus.error.mlc.MLPrecision
- showSummaryError(PrintWriter, boolean) - Method in class si.ijs.kt.clus.error.mlc.MLRecall
- showSummaryError(PrintWriter, boolean) - Method in class si.ijs.kt.clus.error.mlc.MLROCAndPRCurve
- showSummaryError(PrintWriter, boolean) - Method in class si.ijs.kt.clus.error.mlc.OneError
- showSummaryError(PrintWriter, boolean) - Method in class si.ijs.kt.clus.error.mlc.RankingLoss
- showSummaryError(PrintWriter, boolean) - Method in class si.ijs.kt.clus.error.mlc.SubsetAccuracy
- showSummaryError(PrintWriter, boolean) - Method in class si.ijs.kt.clus.error.MSError
- showSummaryError(PrintWriter, boolean) - Method in class si.ijs.kt.clus.error.MSNominalError
- showSummaryError(PrintWriter, boolean) - Method in class si.ijs.kt.clus.error.RMSError
- showSummaryError(PrintWriter, boolean) - Method in class si.ijs.kt.clus.error.RRMSError
- showSummaryError(PrintWriter, boolean) - Method in class si.ijs.kt.clus.error.sets.Accuracy
- showSummaryError(PrintWriter, boolean) - Method in class si.ijs.kt.clus.error.sets.F1Score
- showSummaryError(PrintWriter, boolean) - Method in class si.ijs.kt.clus.error.sets.HammingLossError
- showSummaryError(PrintWriter, boolean) - Method in class si.ijs.kt.clus.error.sets.Precision
- showSummaryError(PrintWriter, boolean) - Method in class si.ijs.kt.clus.error.sets.Recall
- showSummaryError(PrintWriter, boolean) - Method in class si.ijs.kt.clus.error.sets.SubsetAccuracy
- showTable() - Method in class si.ijs.kt.clus.data.rows.RowData
- showTest(NominalAttrType, boolean[], int, double, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.algo.split.SubsetSplit
- showValuesForGene(ClusRun, ClusRuleSet, String) - Method in class si.ijs.kt.clus.addon.hmc.ClusAmandaRules.ClusAmandaRules
- si.ijs.kt.clus - package si.ijs.kt.clus
- si.ijs.kt.clus.addon.hmc.ClusAmandaRules - package si.ijs.kt.clus.addon.hmc.ClusAmandaRules
- si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass - package si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass
- si.ijs.kt.clus.addon.hmc.HMCConvertDAGData - package si.ijs.kt.clus.addon.hmc.HMCConvertDAGData
- si.ijs.kt.clus.addon.hmc.HMCConvertToSC - package si.ijs.kt.clus.addon.hmc.HMCConvertToSC
- si.ijs.kt.clus.addon.hmc.HMCNodeWiseModels.hmcnwmodels - package si.ijs.kt.clus.addon.hmc.HMCNodeWiseModels.hmcnwmodels
- si.ijs.kt.clus.addon.ILevelC.ilevelc - package si.ijs.kt.clus.addon.ILevelC.ilevelc
- si.ijs.kt.clus.addon.network - package si.ijs.kt.clus.addon.network
- si.ijs.kt.clus.addon.sit - package si.ijs.kt.clus.addon.sit
- si.ijs.kt.clus.addon.sit.mtLearner - package si.ijs.kt.clus.addon.sit.mtLearner
- si.ijs.kt.clus.addon.sit.searchAlgorithm - package si.ijs.kt.clus.addon.sit.searchAlgorithm
- si.ijs.kt.clus.algo - package si.ijs.kt.clus.algo
- si.ijs.kt.clus.algo.kNN - package si.ijs.kt.clus.algo.kNN
- si.ijs.kt.clus.algo.kNN.distance.attributeWeighting - package si.ijs.kt.clus.algo.kNN.distance.attributeWeighting
- si.ijs.kt.clus.algo.kNN.distance.distanceWeighting - package si.ijs.kt.clus.algo.kNN.distance.distanceWeighting
- si.ijs.kt.clus.algo.kNN.distance.valentin - package si.ijs.kt.clus.algo.kNN.distance.valentin
- si.ijs.kt.clus.algo.kNN.methods - package si.ijs.kt.clus.algo.kNN.methods
- si.ijs.kt.clus.algo.kNN.methods.bfMethod - package si.ijs.kt.clus.algo.kNN.methods.bfMethod
- si.ijs.kt.clus.algo.kNN.methods.kdTree - package si.ijs.kt.clus.algo.kNN.methods.kdTree
- si.ijs.kt.clus.algo.kNN.methods.vpTree - package si.ijs.kt.clus.algo.kNN.methods.vpTree
- si.ijs.kt.clus.algo.rules - package si.ijs.kt.clus.algo.rules
- si.ijs.kt.clus.algo.rules.probabilistic - package si.ijs.kt.clus.algo.rules.probabilistic
- si.ijs.kt.clus.algo.rules.tune - package si.ijs.kt.clus.algo.rules.tune
- si.ijs.kt.clus.algo.split - package si.ijs.kt.clus.algo.split
- si.ijs.kt.clus.algo.tdidt - package si.ijs.kt.clus.algo.tdidt
- si.ijs.kt.clus.algo.tdidt.processor - package si.ijs.kt.clus.algo.tdidt.processor
- si.ijs.kt.clus.algo.tdidt.tune - package si.ijs.kt.clus.algo.tdidt.tune
- si.ijs.kt.clus.data - package si.ijs.kt.clus.data
- si.ijs.kt.clus.data.attweights - package si.ijs.kt.clus.data.attweights
- si.ijs.kt.clus.data.cols - package si.ijs.kt.clus.data.cols
- si.ijs.kt.clus.data.cols.attribute - package si.ijs.kt.clus.data.cols.attribute
- si.ijs.kt.clus.data.io - package si.ijs.kt.clus.data.io
- si.ijs.kt.clus.data.rows - package si.ijs.kt.clus.data.rows
- si.ijs.kt.clus.data.type - package si.ijs.kt.clus.data.type
- si.ijs.kt.clus.data.type.complex - package si.ijs.kt.clus.data.type.complex
- si.ijs.kt.clus.data.type.hierarchies - package si.ijs.kt.clus.data.type.hierarchies
- si.ijs.kt.clus.data.type.primitive - package si.ijs.kt.clus.data.type.primitive
- si.ijs.kt.clus.distance - package si.ijs.kt.clus.distance
- si.ijs.kt.clus.distance.complex - package si.ijs.kt.clus.distance.complex
- si.ijs.kt.clus.distance.complex.sets - package si.ijs.kt.clus.distance.complex.sets
- si.ijs.kt.clus.distance.complex.tuples - package si.ijs.kt.clus.distance.complex.tuples
- si.ijs.kt.clus.distance.hierarchies - package si.ijs.kt.clus.distance.hierarchies
- si.ijs.kt.clus.distance.primitive - package si.ijs.kt.clus.distance.primitive
- si.ijs.kt.clus.distance.primitive.nominal - package si.ijs.kt.clus.distance.primitive.nominal
- si.ijs.kt.clus.distance.primitive.relief - package si.ijs.kt.clus.distance.primitive.relief
- si.ijs.kt.clus.distance.primitive.timeseries - package si.ijs.kt.clus.distance.primitive.timeseries
- si.ijs.kt.clus.error - package si.ijs.kt.clus.error
- si.ijs.kt.clus.error.common - package si.ijs.kt.clus.error.common
- si.ijs.kt.clus.error.common.multiscore - package si.ijs.kt.clus.error.common.multiscore
- si.ijs.kt.clus.error.hmlc - package si.ijs.kt.clus.error.hmlc
- si.ijs.kt.clus.error.mlc - package si.ijs.kt.clus.error.mlc
- si.ijs.kt.clus.error.mlcForHmlc - package si.ijs.kt.clus.error.mlcForHmlc
- si.ijs.kt.clus.error.sets - package si.ijs.kt.clus.error.sets
- si.ijs.kt.clus.ext.beamsearch - package si.ijs.kt.clus.ext.beamsearch
- si.ijs.kt.clus.ext.bestfirst - package si.ijs.kt.clus.ext.bestfirst
- si.ijs.kt.clus.ext.constraint - package si.ijs.kt.clus.ext.constraint
- si.ijs.kt.clus.ext.ensemble - package si.ijs.kt.clus.ext.ensemble
- si.ijs.kt.clus.ext.ensemble.callable - package si.ijs.kt.clus.ext.ensemble.callable
- si.ijs.kt.clus.ext.ensemble.container - package si.ijs.kt.clus.ext.ensemble.container
- si.ijs.kt.clus.ext.ensemble.ros - package si.ijs.kt.clus.ext.ensemble.ros
- si.ijs.kt.clus.ext.exhaustivesearch - package si.ijs.kt.clus.ext.exhaustivesearch
- si.ijs.kt.clus.ext.featureRanking - package si.ijs.kt.clus.ext.featureRanking
- si.ijs.kt.clus.ext.featureRanking.ensemble - package si.ijs.kt.clus.ext.featureRanking.ensemble
- si.ijs.kt.clus.ext.featureRanking.relief - package si.ijs.kt.clus.ext.featureRanking.relief
- si.ijs.kt.clus.ext.featureRanking.relief.nearestNeighbour - package si.ijs.kt.clus.ext.featureRanking.relief.nearestNeighbour
- si.ijs.kt.clus.ext.featureRanking.relief.statistics - package si.ijs.kt.clus.ext.featureRanking.relief.statistics
- si.ijs.kt.clus.ext.hierarchical - package si.ijs.kt.clus.ext.hierarchical
- si.ijs.kt.clus.ext.hierarchical.thresholdcalibration - package si.ijs.kt.clus.ext.hierarchical.thresholdcalibration
- si.ijs.kt.clus.ext.hierarchicalmtr - package si.ijs.kt.clus.ext.hierarchicalmtr
- si.ijs.kt.clus.ext.ilevelc - package si.ijs.kt.clus.ext.ilevelc
- si.ijs.kt.clus.ext.imputation - package si.ijs.kt.clus.ext.imputation
- si.ijs.kt.clus.ext.optiontree - package si.ijs.kt.clus.ext.optiontree
- si.ijs.kt.clus.ext.optxval - package si.ijs.kt.clus.ext.optxval
- si.ijs.kt.clus.ext.semisupervised - package si.ijs.kt.clus.ext.semisupervised
- si.ijs.kt.clus.ext.semisupervised.confidence - package si.ijs.kt.clus.ext.semisupervised.confidence
- si.ijs.kt.clus.ext.semisupervised.confidence.aggregation - package si.ijs.kt.clus.ext.semisupervised.confidence.aggregation
- si.ijs.kt.clus.ext.semisupervised.confidence.classification - package si.ijs.kt.clus.ext.semisupervised.confidence.classification
- si.ijs.kt.clus.ext.semisupervised.confidence.normalization - package si.ijs.kt.clus.ext.semisupervised.confidence.normalization
- si.ijs.kt.clus.ext.semisupervised.confidence.regression - package si.ijs.kt.clus.ext.semisupervised.confidence.regression
- si.ijs.kt.clus.ext.semisupervised.utils - package si.ijs.kt.clus.ext.semisupervised.utils
- si.ijs.kt.clus.ext.structuredTypes - package si.ijs.kt.clus.ext.structuredTypes
- si.ijs.kt.clus.ext.timeseries - package si.ijs.kt.clus.ext.timeseries
- si.ijs.kt.clus.heuristic - package si.ijs.kt.clus.heuristic
- si.ijs.kt.clus.heuristic.hierarchical - package si.ijs.kt.clus.heuristic.hierarchical
- si.ijs.kt.clus.heuristic.rules - package si.ijs.kt.clus.heuristic.rules
- si.ijs.kt.clus.heuristic.stopCriterion - package si.ijs.kt.clus.heuristic.stopCriterion
- si.ijs.kt.clus.main - package si.ijs.kt.clus.main
- si.ijs.kt.clus.main.settings - package si.ijs.kt.clus.main.settings
- si.ijs.kt.clus.main.settings.section - package si.ijs.kt.clus.main.settings.section
- si.ijs.kt.clus.model - package si.ijs.kt.clus.model
- si.ijs.kt.clus.model.io - package si.ijs.kt.clus.model.io
- si.ijs.kt.clus.model.processor - package si.ijs.kt.clus.model.processor
- si.ijs.kt.clus.model.test - package si.ijs.kt.clus.model.test
- si.ijs.kt.clus.pruning - package si.ijs.kt.clus.pruning
- si.ijs.kt.clus.selection - package si.ijs.kt.clus.selection
- si.ijs.kt.clus.statistic - package si.ijs.kt.clus.statistic
- si.ijs.kt.clus.util - package si.ijs.kt.clus.util
- si.ijs.kt.clus.util.cloner - package si.ijs.kt.clus.util.cloner
- si.ijs.kt.clus.util.exception - package si.ijs.kt.clus.util.exception
- si.ijs.kt.clus.util.format - package si.ijs.kt.clus.util.format
- si.ijs.kt.clus.util.io - package si.ijs.kt.clus.util.io
- si.ijs.kt.clus.util.jeans.io - package si.ijs.kt.clus.util.jeans.io
- si.ijs.kt.clus.util.jeans.io.ini - package si.ijs.kt.clus.util.jeans.io.ini
- si.ijs.kt.clus.util.jeans.io.range - package si.ijs.kt.clus.util.jeans.io.range
- si.ijs.kt.clus.util.jeans.list - package si.ijs.kt.clus.util.jeans.list
- si.ijs.kt.clus.util.jeans.math - package si.ijs.kt.clus.util.jeans.math
- si.ijs.kt.clus.util.jeans.math.matrix - package si.ijs.kt.clus.util.jeans.math.matrix
- si.ijs.kt.clus.util.jeans.tree - package si.ijs.kt.clus.util.jeans.tree
- si.ijs.kt.clus.util.jeans.util - package si.ijs.kt.clus.util.jeans.util
- si.ijs.kt.clus.util.jeans.util.array - package si.ijs.kt.clus.util.jeans.util.array
- si.ijs.kt.clus.util.jeans.util.cmdline - package si.ijs.kt.clus.util.jeans.util.cmdline
- si.ijs.kt.clus.util.jeans.util.compound - package si.ijs.kt.clus.util.jeans.util.compound
- si.ijs.kt.clus.util.jeans.util.list - package si.ijs.kt.clus.util.jeans.util.list
- si.ijs.kt.clus.util.jeans.util.sort - package si.ijs.kt.clus.util.jeans.util.sort
- si.ijs.kt.clus.util.tools - package si.ijs.kt.clus.util.tools
- si.ijs.kt.clus.util.tools.hier - package si.ijs.kt.clus.util.tools.hier
- si.ijs.kt.clus.util.tools.manual - package si.ijs.kt.clus.util.tools.manual
- si.ijs.kt.clus.util.tools.optimization - package si.ijs.kt.clus.util.tools.optimization
- si.ijs.kt.clus.util.tools.optimization.de - package si.ijs.kt.clus.util.tools.optimization.de
- si.ijs.kt.clus.util.tools.optimization.gd - package si.ijs.kt.clus.util.tools.optimization.gd
- si.ijs.kt.clus.util.tools.optimization.sls - package si.ijs.kt.clus.util.tools.optimization.sls
- si.ijs.kt.clus.util.tools.textproc - package si.ijs.kt.clus.util.tools.textproc
- si.ijs.kt.clus.util.tuple - package si.ijs.kt.clus.util.tuple
- signDifferent() - Method in class si.ijs.kt.clus.statistic.CombStat
-
Returns a number of attributes with significantly different distributions
- SIGNIFICANT_DIGITS_IN_PREDICTIONS - Static variable in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptimization
- SimpleClusterModel - Class in si.ijs.kt.clus.ext.ilevelc
- SimpleClusterModel(int[], ClusStatManager) - Constructor for class si.ijs.kt.clus.ext.ilevelc.SimpleClusterModel
- SimpleNode - Class in si.ijs.kt.clus.util.jeans.tree
- SimpleNode() - Constructor for class si.ijs.kt.clus.util.jeans.tree.SimpleNode
- SimpleNode(Node) - Constructor for class si.ijs.kt.clus.util.jeans.tree.SimpleNode
- simplify() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- simplifyConjunction(NodeTest) - Method in class si.ijs.kt.clus.model.test.NodeTest
- simplifyConjunction(NodeTest) - Method in class si.ijs.kt.clus.model.test.NumericTest
- simplifyConjunction(NodeTest) - Method in class si.ijs.kt.clus.model.test.SubsetTest
- simplifyRules() - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- singleRun() - Method in class si.ijs.kt.clus.addon.sit.Sit
- singleRun(ClusInductionAlgorithmType) - Method in class si.ijs.kt.clus.Clus
- singleRunMain(ClusInductionAlgorithmType, ClusSummary) - Method in class si.ijs.kt.clus.Clus
- SingleStat - Class in si.ijs.kt.clus.util.jeans.math
- SingleStat() - Constructor for class si.ijs.kt.clus.util.jeans.math.SingleStat
- SingleStatList - Class in si.ijs.kt.clus.util.jeans.math
- SingleStatList(int) - Constructor for class si.ijs.kt.clus.util.jeans.math.SingleStatList
- Sit - Class in si.ijs.kt.clus.addon.sit
- SITFitnessFunction - Class in si.ijs.kt.clus.addon.sit.searchAlgorithm
-
Translates a chromosome to a targetset and evaluates it against the MTLearner
- SITFitnessFunction(ClusAttrType, MTLearner, TargetSet) - Constructor for class si.ijs.kt.clus.addon.sit.searchAlgorithm.SITFitnessFunction
- SIX_AFTER_DOT - Static variable in class si.ijs.kt.clus.util.format.ClusFormat
- size - Variable in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
- size - Variable in class si.ijs.kt.clus.util.jeans.util.IntegerStack
- size() - Method in class si.ijs.kt.clus.error.BinaryPredictionList
- size() - Method in class si.ijs.kt.clus.ext.structuredTypes.Set
- size() - Method in class si.ijs.kt.clus.util.jeans.list.BitList
- size() - Method in class si.ijs.kt.clus.util.jeans.util.array.MyIntArray
- size() - Method in class si.ijs.kt.clus.util.jeans.util.MyArray
- SIZE_PENALTY - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch
- SizeConstraintPruning - Class in si.ijs.kt.clus.pruning
- SizeConstraintPruning(int[], ClusAttributeWeights) - Constructor for class si.ijs.kt.clus.pruning.SizeConstraintPruning
- SizeConstraintPruning(int, ClusAttributeWeights) - Constructor for class si.ijs.kt.clus.pruning.SizeConstraintPruning
- SizeConstraintVisitor - Class in si.ijs.kt.clus.pruning
- SizeConstraintVisitor(int) - Constructor for class si.ijs.kt.clus.pruning.SizeConstraintVisitor
- skipTillComma() - Method in class si.ijs.kt.clus.data.io.ClusReader
- skipTillCommaOriginal() - Method in class si.ijs.kt.clus.data.io.ClusReader
- skipTillCommaValentinModified() - Method in class si.ijs.kt.clus.data.io.ClusReader
- skipTillData() - Method in class si.ijs.kt.clus.data.io.ARFFFile
- skipTillLine(int) - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- skipTillLine(String) - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- SMALL_BUT_MORE_THAN_ZERO - Variable in class si.ijs.kt.clus.ext.ensemble.ClusOOBWeights
- smallerThan - Variable in class si.ijs.kt.clus.model.test.ClusRuleConstraintInduceTest
- smartSort(NumericAttrType) - Method in class si.ijs.kt.clus.data.rows.RowData
- smartSortNonSparse(NumericAttrType) - Method in class si.ijs.kt.clus.data.rows.RowData
- smartSortSparse(NumericAttrType) - Method in class si.ijs.kt.clus.data.rows.RowData
- SmoothLocalSearch(ClusRuleSet, double, double, Function<ClusRuleSet, Double>) - Method in class si.ijs.kt.clus.util.tools.optimization.sls.OptSmoothLocalSearch
-
Smooth Local Search optimization
- smOrEq(double, double) - Static method in class si.ijs.kt.clus.util.ClusUtil
- softEquals(NodeTest) - Method in class si.ijs.kt.clus.model.test.NodeTest
- softEquals(NodeTest) - Method in class si.ijs.kt.clus.model.test.NumericTest
- SoftNumericTest - Class in si.ijs.kt.clus.ext.optxval
- SoftNumericTest(NodeTest, int) - Constructor for class si.ijs.kt.clus.ext.optxval.SoftNumericTest
- softPredict(RowData, DataTuple, int, int) - Method in class si.ijs.kt.clus.ext.optxval.SoftNumericTest
- softPredict(RowData, DataTuple, int, int) - Method in class si.ijs.kt.clus.model.test.SoftTest
- softPredict2(RowData, DataTuple, int, int) - Method in class si.ijs.kt.clus.ext.optxval.SoftNumericTest
- softPredict2(RowData, DataTuple, int, int) - Method in class si.ijs.kt.clus.model.test.SoftTest
- softPredictNb(DataTuple, int) - Method in class si.ijs.kt.clus.ext.optxval.SoftNumericTest
- softPredictNb(DataTuple, int) - Method in class si.ijs.kt.clus.model.test.SoftTest
- softPredictNb2(DataTuple, int) - Method in class si.ijs.kt.clus.ext.optxval.SoftNumericTest
- softPredictNb2(DataTuple, int) - Method in class si.ijs.kt.clus.model.test.SoftTest
- SoftTest - Class in si.ijs.kt.clus.model.test
- SoftTest() - Constructor for class si.ijs.kt.clus.model.test.SoftTest
- sort() - Method in class si.ijs.kt.clus.error.BinaryPredictionList
-
Sorts the
jeans.util.compound.DoubleBoolean
s from them_ValueSet
. - sort() - Method in class si.ijs.kt.clus.ext.optiontree.FindBestTests
- sort() - Method in class si.ijs.kt.clus.util.jeans.util.MyArray
- sort() - Method in class si.ijs.kt.clus.util.jeans.util.sort.DoubleIndexSorter
- sort(double[], boolean) - Static method in class si.ijs.kt.clus.util.tools.optimization.IndexMergeSorter
- sort(NumericAttrType) - Method in class si.ijs.kt.clus.data.rows.RowData
- sortChildrenByID() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- sortIntervals() - Method in class si.ijs.kt.clus.ext.optxval.SoftNumericTest
- sortLabeledFirst() - Method in class si.ijs.kt.clus.data.rows.RowData
-
Sorts RowData so that the labeled examples come first, unlabeled second
- sortModels(ClusRun, ArrayList) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamInduce
-
Dragi, JSI Sorts the beam according to train accuracy/correlation in descending order In case of equal train accuracy/correlation then the tree with greater heuristic score are put higher
- sortPopRandom() - Method in class si.ijs.kt.clus.util.tools.optimization.de.DEPopulation
-
Take a new random permutation of population individuals.
- sortSparse(NumericAttrType, RowDataSortHelper) - Method in class si.ijs.kt.clus.data.rows.RowData
-
Sorts the instances with respect to the given attribute
at
, so that - sortSubArray(double[], boolean[], int, boolean) - Static method in class si.ijs.kt.clus.util.tools.optimization.IndexMergeSorter
-
Consider only the elements that are true in subArray.
- SPACE - Static variable in class si.ijs.kt.clus.util.jeans.util.MSStringTokenizer
- SPACE_TYPES - Static variable in class si.ijs.kt.clus.ext.featureRanking.relief.ClusReliefFeatureRanking
- spacechars - Variable in class si.ijs.kt.clus.util.jeans.util.MStringTokenizer
- SparseDataTuple - Class in si.ijs.kt.clus.data.rows
- SparseDataTuple() - Constructor for class si.ijs.kt.clus.data.rows.SparseDataTuple
- SparseDataTuple(ClusSchema) - Constructor for class si.ijs.kt.clus.data.rows.SparseDataTuple
- SparseNumericAttrType - Class in si.ijs.kt.clus.data.type.primitive
- SparseNumericAttrType(String) - Constructor for class si.ijs.kt.clus.data.type.primitive.SparseNumericAttrType
- SparseNumericAttrType(NumericAttrType) - Constructor for class si.ijs.kt.clus.data.type.primitive.SparseNumericAttrType
- SparseNumericAttrType.MySerializable - Class in si.ijs.kt.clus.data.type.primitive
- SpearmanRankCorrelation - Class in si.ijs.kt.clus.error
- SpearmanRankCorrelation(ClusErrorList, NumericAttrType[]) - Constructor for class si.ijs.kt.clus.error.SpearmanRankCorrelation
- SpearmanRankCorrelation(ClusErrorList, NumericAttrType[], String) - Constructor for class si.ijs.kt.clus.error.SpearmanRankCorrelation
- SpearmanRankCorrelationPerExample - Class in si.ijs.kt.clus.error
-
This class computes the average spearman rank correlation over all target attributes.
- SpearmanRankCorrelationPerExample(ClusErrorList, NumericAttrType[]) - Constructor for class si.ijs.kt.clus.error.SpearmanRankCorrelationPerExample
- SpearmanRankCorrelationPerExample(ClusErrorList, NumericAttrType[], String) - Constructor for class si.ijs.kt.clus.error.SpearmanRankCorrelationPerExample
- SPECIAL - Static variable in class si.ijs.kt.clus.util.jeans.util.MSStringTokenizer
- split(Vector, int, int, MComparator) - Static method in class si.ijs.kt.clus.util.jeans.util.sort.MVectorSorter
- split(ColTarget) - Method in class si.ijs.kt.clus.data.cols.attribute.ClusAttribute
- split(ColTarget) - Method in class si.ijs.kt.clus.data.cols.attribute.NominalAttribute
- split(ColTarget) - Method in class si.ijs.kt.clus.data.cols.attribute.NumericAttribute
- splitDataIntoValAndTrainSet(ClusStatManager, OptimizationProblem.OptimizationParameter, OptimizationProblem.OptimizationParameter, OptimizationProblem.OptimizationParameter) - Static method in class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem
-
Splits data into validation and training sets randomly
- sqr(double) - Static method in class si.ijs.kt.clus.error.MSError
- sqr(double) - Static method in class si.ijs.kt.clus.error.MSNominalError
- sqr(double) - Static method in class si.ijs.kt.clus.error.sets.Accuracy
- sqr(double) - Static method in class si.ijs.kt.clus.error.sets.F1Score
- sqr(double) - Static method in class si.ijs.kt.clus.error.sets.HammingLossError
- sqr(double) - Static method in class si.ijs.kt.clus.error.sets.Precision
- sqr(double) - Static method in class si.ijs.kt.clus.error.sets.Recall
- sqr(double) - Static method in class si.ijs.kt.clus.error.sets.SubsetAccuracy
- Squared - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.OptimizationLossFunction
-
Optimization Loss function type.
- SSPD - Enum constant in enum class si.ijs.kt.clus.main.ClusStatManager.Mode
- SSPD - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.Heuristic
- SSPDMatrix - Class in si.ijs.kt.clus.distance.complex.tuples
- SSPDMatrix(int) - Constructor for class si.ijs.kt.clus.distance.complex.tuples.SSPDMatrix
- stack - Variable in class si.ijs.kt.clus.util.jeans.util.IntegerStack
- stackWeight() - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesStat
- standard() - Static method in class si.ijs.kt.clus.util.cloner.Cloner
- Standard - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.CoveringMethod
-
Standard covering: ordered rules (decision list)
- StandardBootstrap - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.CoveringMethod
-
Repeated standard covering on bootstraped data
- StandardEntropy - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.EntropyType
- Standardization - Class in si.ijs.kt.clus.ext.semisupervised.confidence.normalization
-
Standardizes per-target scores to 0.5 mean and 0.125 standard deviation.
- Standardization - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLNormalization
-
standardization to 0.5 mean and 0.125 standard deviation (ensures that 99.98% of the scores are in [0,1] interval)
- Standardization(int) - Constructor for class si.ijs.kt.clus.ext.semisupervised.confidence.normalization.Standardization
- StandardizedGetis - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMeasure
- startCloning(Class<?>) - Method in interface si.ijs.kt.clus.util.cloner.IDumpCloned
- startPlayBack() - Method in class si.ijs.kt.clus.model.io.ClusTreeReader
- startRecording(String) - Method in class si.ijs.kt.clus.model.io.ClusTreeReader
- StaticRandom - Enum constant in enum class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce.ParallelTrap
- StatisticPrintInfo - Class in si.ijs.kt.clus.statistic
- StatisticPrintInfo() - Constructor for class si.ijs.kt.clus.statistic.StatisticPrintInfo
- Statistics - Class in si.ijs.kt.clus.ext.featureRanking.relief.statistics
- Statistics() - Constructor for class si.ijs.kt.clus.ext.featureRanking.relief.statistics.Statistics
- statOnData(RowData) - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- statOnData(RowData) - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- stblock - Variable in class si.ijs.kt.clus.util.jeans.util.MStringTokenizer
- STDEV - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMTR.HierarchyAggregationsHMTR
- stDevOpt(double[]) - Static method in class si.ijs.kt.clus.ext.semisupervised.Helper
-
Calculates standard deviation IMPORTANT: this implementation is buggy, it returns Double.NaN, when stdDev should be 0
- Steepness - Class in si.ijs.kt.clus.ext.featureRanking.relief.statistics
- Steepness - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRelief.ReliefStatisticsType
- Steepness(ClusReliefFeatureRanking, int, int, int, int, boolean, boolean) - Constructor for class si.ijs.kt.clus.ext.featureRanking.relief.statistics.Steepness
- stopcrit - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamAttrSelector
- stopCrit() - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
-
Stopping criterion
- stopCrit() - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
-
Stopping criterion
- stopCrit(int) - Method in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- stopCrit(OptXValNode) - Method in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- stopCriterion(ClusStatistic, ClusStatistic[], int) - Method in class si.ijs.kt.clus.ext.semisupervised.SemiSupMinLabeledWeightStopCrit
- stopCriterion(ClusStatistic, ClusStatistic[], int) - Method in class si.ijs.kt.clus.heuristic.ClusHeuristic
- stopCriterion(ClusStatistic, ClusStatistic[], int) - Method in interface si.ijs.kt.clus.heuristic.stopCriterion.ClusStopCriterion
- stopCriterion(ClusStatistic, ClusStatistic[], int) - Method in class si.ijs.kt.clus.heuristic.stopCriterion.ClusStopCriterionMinNbExamples
- stopCriterion(ClusStatistic, ClusStatistic[], int) - Method in class si.ijs.kt.clus.heuristic.stopCriterion.ClusStopCriterionMinWeight
- stopCriterion(ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.ext.semisupervised.SemiSupMinLabeledWeightStopCrit
- stopCriterion(ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.ClusHeuristic
- stopCriterion(ClusStatistic, ClusStatistic, ClusStatistic) - Method in interface si.ijs.kt.clus.heuristic.stopCriterion.ClusStopCriterion
- stopCriterion(ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.stopCriterion.ClusStopCriterionMinNbExamples
- stopCriterion(ClusStatistic, ClusStatistic, ClusStatistic) - Method in class si.ijs.kt.clus.heuristic.stopCriterion.ClusStopCriterionMinWeight
- StopList - Class in si.ijs.kt.clus.util.tools.textproc
- StopList() - Constructor for class si.ijs.kt.clus.util.tools.textproc.StopList
- StopList(String) - Constructor for class si.ijs.kt.clus.util.tools.textproc.StopList
- stopPlayBack() - Method in class si.ijs.kt.clus.model.io.ClusTreeReader
- storeLabels(ClusNode, ILevelCHeurStat) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- strg - Variable in class si.ijs.kt.clus.util.jeans.util.MStringTokenizer
- String - Enum constant in enum class si.ijs.kt.clus.data.type.ClusAttrType.AttributeType
- StringAttrType - Class in si.ijs.kt.clus.data.type.primitive
- StringAttrType(String) - Constructor for class si.ijs.kt.clus.data.type.primitive.StringAttrType
- StringAttrType.MySerializable - Class in si.ijs.kt.clus.data.type.primitive
- StringTable - Class in si.ijs.kt.clus.util.jeans.util.array
- StringTable() - Constructor for class si.ijs.kt.clus.util.jeans.util.array.StringTable
- StringUtils - Class in si.ijs.kt.clus.util.jeans.util
- StringUtils() - Constructor for class si.ijs.kt.clus.util.jeans.util.StringUtils
- STRUCTURED - Enum constant in enum class si.ijs.kt.clus.main.ClusStatManager.Mode
- StructuredData - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.Heuristic
- subClass() - Element in annotation interface si.ijs.kt.clus.util.cloner.Immutable
-
by default all subclasses of the @Immutable class are not immutable.
- subsetAccuracy(DataTuple, DataTuple) - Method in class si.ijs.kt.clus.distance.primitive.relief.MultiLabelDistance
-
Computes the probability whether the label sets of two data tuples are the same.
- SubsetAccuracy - Class in si.ijs.kt.clus.error.mlc
- SubsetAccuracy - Class in si.ijs.kt.clus.error.mlcForHmlc
- SubsetAccuracy - Class in si.ijs.kt.clus.error.sets
- SubsetAccuracy - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsMLC.MultiLabelMeasures
- SubsetAccuracy - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRelief.MultilabelDistance
- SubsetAccuracy() - Constructor for class si.ijs.kt.clus.error.mlcForHmlc.SubsetAccuracy
- SubsetAccuracy(ClusErrorList, SetAttrType[], ClusAttributeWeights, boolean, ClusDistance) - Constructor for class si.ijs.kt.clus.error.sets.SubsetAccuracy
- SubsetAccuracy(ClusErrorList, SetAttrType[], ClusAttributeWeights, ClusDistance) - Constructor for class si.ijs.kt.clus.error.sets.SubsetAccuracy
- SubsetAccuracy(ClusErrorList, SetAttrType[], ClusDistance) - Constructor for class si.ijs.kt.clus.error.sets.SubsetAccuracy
- SubsetAccuracy(ClusErrorList, NominalAttrType[]) - Constructor for class si.ijs.kt.clus.error.mlc.SubsetAccuracy
- SubsetSplit - Class in si.ijs.kt.clus.algo.split
- SubsetSplit() - Constructor for class si.ijs.kt.clus.algo.split.SubsetSplit
- SubsetTest - Class in si.ijs.kt.clus.model.test
- SubsetTest(NominalAttrType, int) - Constructor for class si.ijs.kt.clus.model.test.SubsetTest
- SubsetTest(NominalAttrType, int, boolean[], double) - Constructor for class si.ijs.kt.clus.model.test.SubsetTest
- SubspaceAveraging - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleROSVotingType
-
Vote only with those targets, that were used for learning, i.e., votes of individual ensemble members contribute to the overall prediction only with those target predictions, that have been used for learning the individual ensemble members.
- substract(MNumber) - Method in class si.ijs.kt.clus.util.jeans.math.MNumber
- subtract(IntervalCollection) - Method in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- subtractDeltaU(ClusNode, double, double) - Static method in class si.ijs.kt.clus.pruning.CartPruning
- subtractFromBits(boolean[]) - Method in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- subtractFromOther(double[], double[]) - Static method in class si.ijs.kt.clus.util.jeans.util.array.MDoubleArray
- subtractFromOther(ClusStatistic) - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreStat
- subtractFromOther(ClusStatistic) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimClassStat
- subtractFromOther(ClusStatistic) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimRegrStat
- subtractFromOther(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.BitVectorStat
- subtractFromOther(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- subtractFromOther(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- subtractFromOther(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.CombStat
- subtractFromOther(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.CombStatClassRegHier
- subtractFromOther(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.GeneticDistanceStat
- subtractFromOther(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.GISStat
-
Deprecated.
- subtractFromOther(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.HierSumPairwiseDistancesStat
- subtractFromOther(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- subtractFromOther(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.RegressionStatBinaryNomiss
- subtractFromOther(BitList) - Method in class si.ijs.kt.clus.util.jeans.list.BitList
- subtractFromThis(double[], double[]) - Static method in class si.ijs.kt.clus.util.jeans.util.array.MDoubleArray
- subtractFromThis(ClusStatistic) - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreStat
- subtractFromThis(ClusStatistic) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimClassStat
- subtractFromThis(ClusStatistic) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimRegrStat
- subtractFromThis(ClusStatistic) - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesStat
- subtractFromThis(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.BitVectorStat
- subtractFromThis(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- subtractFromThis(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- subtractFromThis(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.CombStat
- subtractFromThis(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.CombStatClassRegHier
- subtractFromThis(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.GeneticDistanceStat
- subtractFromThis(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.GISStat
-
Deprecated.
- subtractFromThis(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.HierSumPairwiseDistancesStat
- subtractFromThis(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- subtractFromThis(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.RegressionStatBinaryNomiss
- subtractFromThis(BitList) - Method in class si.ijs.kt.clus.statistic.GeneticDistanceStat
- subtractFromThis(BitList) - Method in class si.ijs.kt.clus.util.jeans.list.BitList
- subtractMissing() - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- subtractMissing() - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- subtractMissing(OptXValGroup) - Method in class si.ijs.kt.clus.ext.optxval.OptXValInduce
- sum(double[]) - Static method in class si.ijs.kt.clus.ext.semisupervised.Helper
-
Calculates sum of an array of values
- SUM - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMTR.HierarchyAggregationsHMTR
- sumColumn(int[][], int) - Method in class si.ijs.kt.clus.error.ContingencyTable
- sumColumn(int, int) - Method in class si.ijs.kt.clus.error.ContingencyTable
- sumI(int) - Method in class si.ijs.kt.clus.error.NominalCorrelation
- sumJ(int) - Method in class si.ijs.kt.clus.error.NominalCorrelation
- SumPairwiseDistancesStat - Class in si.ijs.kt.clus.statistic
- SumPairwiseDistancesStat(Settings, ClusDistance) - Constructor for class si.ijs.kt.clus.statistic.SumPairwiseDistancesStat
- SumPairwiseDistancesStat(Settings, ClusDistance, SettingsTimeSeries.TimeSeriesPrototypeComplexity) - Constructor for class si.ijs.kt.clus.statistic.SumPairwiseDistancesStat
- sumRow(int[][], int) - Method in class si.ijs.kt.clus.error.ContingencyTable
- sumRow(int, int) - Method in class si.ijs.kt.clus.error.ContingencyTable
- sumStats(int) - Method in class si.ijs.kt.clus.ext.optxval.OptXValInduce
- superSit(ClusData, ClusData) - Method in class si.ijs.kt.clus.algo.tdidt.ClusSITDecisionTree
- supportsReplacement() - Method in class si.ijs.kt.clus.selection.ClusSelection
- supportsReplacement() - Method in class si.ijs.kt.clus.selection.OverSample
- swap(int, int) - Method in class si.ijs.kt.clus.data.rows.RowData
- swap(int, int) - Method in class si.ijs.kt.clus.data.rows.RowDataSortHelper
- swap(int, int) - Method in class si.ijs.kt.clus.util.jeans.util.array.MyIntArray
- swap(int, int) - Method in class si.ijs.kt.clus.util.jeans.util.MyArray
- swap(int, int) - Method in interface si.ijs.kt.clus.util.jeans.util.sort.MSortable
- swapObjects(Vector, int, int) - Static method in class si.ijs.kt.clus.util.jeans.util.sort.MVectorSorter
- sweepSit(ClusData, ClusData) - Method in class si.ijs.kt.clus.algo.tdidt.ClusSITDecisionTree
- Symbolic - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleRanking
- symmetricDifference(ArrayList<T>, ArrayList<T>) - Static method in class si.ijs.kt.clus.util.jeans.math.MathUtil
-
Computes the symmetric difference between the two lists.
T
- TAB_SIZE - Static variable in class si.ijs.kt.clus.ext.hierarchical.HierIO
- table - Variable in class si.ijs.kt.clus.util.jeans.util.array.StringTable
- TAG_ERROR - Static variable in class si.ijs.kt.clus.data.io.ARFFFile
- TAG_NAME - Static variable in class si.ijs.kt.clus.data.io.ARFFFile
- Target - Enum constant in enum class si.ijs.kt.clus.data.type.ClusAttrType.AttributeUseType
- Target - Enum constant in enum class si.ijs.kt.clus.data.type.ClusAttrType.Status
- TARGET_SPACE - Static variable in class si.ijs.kt.clus.ext.featureRanking.relief.ClusReliefFeatureRanking
- TARGET_WEIGHT - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsAttribute
- TargetSet - Class in si.ijs.kt.clus.addon.sit
- TargetSet() - Constructor for class si.ijs.kt.clus.addon.sit.TargetSet
- TargetSet(TargetSet) - Constructor for class si.ijs.kt.clus.addon.sit.TargetSet
- TargetSet(ClusSchema, IntervalCollection) - Constructor for class si.ijs.kt.clus.addon.sit.TargetSet
-
Creates a targetset from a ClusSchema and an IntervalCollection
- TargetSet(ClusAttrType) - Constructor for class si.ijs.kt.clus.addon.sit.TargetSet
- targetSignDifferent() - Method in class si.ijs.kt.clus.statistic.CombStat
-
Checks weather values of a target attribute are significantly different
- TC - Class in si.ijs.kt.clus.addon.sit.searchAlgorithm
- TC() - Constructor for class si.ijs.kt.clus.addon.sit.searchAlgorithm.TC
- temp_data - Variable in class si.ijs.kt.clus.statistic.ClassificationStat
- term(ClusSchema) - Method in class si.ijs.kt.clus.data.type.primitive.NumericAttrType.MySerializable
- term(ClusSchema) - Method in class si.ijs.kt.clus.util.io.ClusSerializable
- termAllModelProcessors(int) - Method in class si.ijs.kt.clus.model.ClusModelInfo
- termEnsemblePredictionsWriter(int) - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- terminate(ClusModel) - Method in class si.ijs.kt.clus.algo.rules.ClusCalcRuleErrorProc
- terminate(ClusModel) - Method in class si.ijs.kt.clus.algo.tdidt.processor.BasicExampleCollector
- terminate(ClusModel) - Method in class si.ijs.kt.clus.algo.tdidt.processor.NodeExampleCollector
- terminate(ClusModel) - Method in class si.ijs.kt.clus.algo.tdidt.processor.NodeIDWriter
- terminate(ClusModel) - Method in class si.ijs.kt.clus.model.processor.CalcStatisticProcessor
- terminate(ClusModel) - Method in class si.ijs.kt.clus.model.processor.ClusModelProcessor
- terminate(ClusModel) - Method in class si.ijs.kt.clus.model.processor.ModelProcessorCollection
- terminateAll() - Method in class si.ijs.kt.clus.model.processor.ClusModelProcessor
- terminateAll() - Method in class si.ijs.kt.clus.model.processor.ModelProcessorCollection
- terminateAll() - Method in class si.ijs.kt.clus.model.processor.PredictionWriter
- terminateEnsemblePredictionWriter(int) - Method in class si.ijs.kt.clus.model.ClusModelInfo
- termModelProcessors(int) - Method in class si.ijs.kt.clus.main.ClusModelInfoList
- termModelProcessors(int) - Method in class si.ijs.kt.clus.model.ClusModelInfo
- termToIndexList(ClassTerm) - Static method in class si.ijs.kt.clus.ext.hierarchical.HierPrologOutput
- Test - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsGeneral.ResourceInfoLoad
- Test - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsOutput.WritePredictions
- Test - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTimeSeries.TimeSeriesPrototypeComplexity
- TEST - Static variable in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- TEST - Static variable in interface si.ijs.kt.clus.model.ClusModel
- TEST_ERR - Static variable in class si.ijs.kt.clus.model.ClusModelInfo
- TestAndHeuristic - Class in si.ijs.kt.clus.ext.optiontree
- TestAndHeuristic(Settings) - Constructor for class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- testerr - Variable in class si.ijs.kt.clus.pruning.ErrorVisitor
- testModel(String) - Method in class si.ijs.kt.clus.Clus
- TESTSET - Static variable in class si.ijs.kt.clus.main.ClusModelInfoList
- testToNode(CurrentBestTestAndHeuristic) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- testToNode(TestAndHeuristic) - Method in class si.ijs.kt.clus.ext.optiontree.ClusSplitNode
- THREE_AFTER_DOT - Static variable in class si.ijs.kt.clus.util.format.ClusFormat
- Threshold - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLUnlabeledCriteria
-
Threshold - all of the unlabeled instances with confidence of prediction greater than Threshold will be added to the training set
- thresholdToModel(int, double) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- TIME_SERIES - Enum constant in enum class si.ijs.kt.clus.main.ClusStatManager.Mode
- TimeSeries - Class in si.ijs.kt.clus.ext.timeseries
- TimeSeries - Enum constant in enum class si.ijs.kt.clus.data.type.ClusAttrType.AttributeType
- TimeSeries(double[]) - Constructor for class si.ijs.kt.clus.ext.timeseries.TimeSeries
- TimeSeries(int) - Constructor for class si.ijs.kt.clus.ext.timeseries.TimeSeries
- TimeSeries(String) - Constructor for class si.ijs.kt.clus.ext.timeseries.TimeSeries
- TimeSeries(TimeSeries) - Constructor for class si.ijs.kt.clus.ext.timeseries.TimeSeries
- TimeSeriesAttrBase - Class in si.ijs.kt.clus.data.cols.attribute
- TimeSeriesAttrBase(TimeSeriesAttrType) - Constructor for class si.ijs.kt.clus.data.cols.attribute.TimeSeriesAttrBase
- TimeSeriesAttribute - Class in si.ijs.kt.clus.data.cols.attribute
- TimeSeriesAttribute(TimeSeriesAttrType) - Constructor for class si.ijs.kt.clus.data.cols.attribute.TimeSeriesAttribute
- TimeSeriesAttrType - Class in si.ijs.kt.clus.data.type.primitive
- TimeSeriesAttrType(String) - Constructor for class si.ijs.kt.clus.data.type.primitive.TimeSeriesAttrType
- TimeSeriesAttrType(String, String) - Constructor for class si.ijs.kt.clus.data.type.primitive.TimeSeriesAttrType
- TimeSeriesAttrType.MySerializable - Class in si.ijs.kt.clus.data.type.primitive
- TimeSeriesDist - Class in si.ijs.kt.clus.distance.primitive.timeseries
- TimeSeriesDist(TimeSeriesAttrType) - Constructor for class si.ijs.kt.clus.distance.primitive.timeseries.TimeSeriesDist
- TimeSeriesSignificantChangeTesterXVAL - Class in si.ijs.kt.clus.ext.timeseries
- TimeSeriesSignificantChangeTesterXVAL(ClusErrorList, TimeSeriesStat) - Constructor for class si.ijs.kt.clus.ext.timeseries.TimeSeriesSignificantChangeTesterXVAL
- TimeSeriesStat - Class in si.ijs.kt.clus.ext.timeseries
- TimeSeriesStat(Settings, TimeSeriesAttrType, ClusDistance, SettingsTimeSeries.TimeSeriesPrototypeComplexity) - Constructor for class si.ijs.kt.clus.ext.timeseries.TimeSeriesStat
- TimeSeriesTarget - Class in si.ijs.kt.clus.data.cols.attribute
- TimeSeriesTarget(ColTarget, TimeSeriesAttrType, int) - Constructor for class si.ijs.kt.clus.data.cols.attribute.TimeSeriesTarget
- toArray() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeam
- toArray() - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustive
- toArray() - Method in class si.ijs.kt.clus.util.jeans.util.array.MDoubleArray
- toArray() - Method in class si.ijs.kt.clus.util.jeans.util.array.MIntArray
- toArrayList() - Method in class si.ijs.kt.clus.data.rows.RowData
- toBits() - Method in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- toBits(boolean[]) - Method in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- toBits(ArrayList) - Static method in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- toBits(ArrayList, boolean[]) - Static method in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- toCPArray() - Method in class si.ijs.kt.clus.util.jeans.math.matrix.MMatrix
- toFileString() - Method in class si.ijs.kt.clus.ext.featureRanking.relief.nearestNeighbour.NearestNeighbour
- toFlat(StringTable) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- toFlat(StringTable) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- toIndices() - Method in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- toPathString() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- toPathString() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- toPathString(String) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- toString() - Method in class si.ijs.kt.clus.addon.sit.TargetSet
- toString() - Method in class si.ijs.kt.clus.algo.kNN.distance.valentin.VectorDistance
- toString() - Method in class si.ijs.kt.clus.algo.rules.ClusRule
- toString() - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
-
Reset
- toString() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- toString() - Method in class si.ijs.kt.clus.data.ClusSchema
- toString() - Method in class si.ijs.kt.clus.data.rows.DataTuple
- toString() - Method in class si.ijs.kt.clus.data.rows.RowData
- toString() - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- toString() - Method in class si.ijs.kt.clus.distance.primitive.relief.MultiLabelDistance
- toString() - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel
- toString() - Method in enum class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce.ParallelTrap
- toString() - Method in class si.ijs.kt.clus.ext.ensemble.container.NodeDepthPair
- toString() - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusROSForestInfo
- toString() - Method in class si.ijs.kt.clus.ext.ensemble.ros.ClusROSModelInfo
- toString() - Method in class si.ijs.kt.clus.ext.featureRanking.relief.nearestNeighbour.NearestNeighbour
- toString() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- toString() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- toString() - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- toString() - Method in class si.ijs.kt.clus.ext.optiontree.ClusSplitNode
- toString() - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
-
Reset
- toString() - Method in class si.ijs.kt.clus.ext.structuredTypes.Set
- toString() - Method in class si.ijs.kt.clus.ext.structuredTypes.Tuple
- toString() - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeries
- toString() - Method in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.InitialRuleGeneratingMethod
- toString() - Method in class si.ijs.kt.clus.model.ClusModelInfo
- toString() - Method in class si.ijs.kt.clus.model.test.NodeTest
- toString() - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- toString() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- toString() - Method in exception class si.ijs.kt.clus.util.exception.ClusException
- toString() - Method in class si.ijs.kt.clus.util.jeans.io.ini.INIFileEnum
- toString() - Method in class si.ijs.kt.clus.util.jeans.list.BitList
- toString() - Method in class si.ijs.kt.clus.util.jeans.math.matrix.MSymMatrix
- toString() - Method in class si.ijs.kt.clus.util.jeans.math.MDouble
- toString() - Method in class si.ijs.kt.clus.util.jeans.math.SingleStat
- toString() - Method in class si.ijs.kt.clus.util.jeans.util.array.MDoubleArray
- toString() - Method in class si.ijs.kt.clus.util.jeans.util.array.MIntArray
- toString() - Method in class si.ijs.kt.clus.util.jeans.util.array.MyIntArray
- toString() - Method in class si.ijs.kt.clus.util.jeans.util.IntervalCollection
- toString() - Method in class si.ijs.kt.clus.util.jeans.util.MStreamTokenizer
- toString() - Method in class si.ijs.kt.clus.util.tools.manual.ManualEntry
- toString() - Method in class si.ijs.kt.clus.util.tools.manual.ManualSectionEntry
- toString(double[]) - Static method in class si.ijs.kt.clus.util.jeans.util.array.MDoubleArray
- toString(int) - Method in class si.ijs.kt.clus.util.jeans.math.matrix.MSymMatrix
- toString(int[]) - Static method in class si.ijs.kt.clus.util.jeans.util.array.MIntArray
- toString(String) - Method in class si.ijs.kt.clus.data.rows.RowData
- toString(ClassHierarchy, char, boolean) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- toStringData(ClassHierarchy) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- toStringData(ClassHierarchy) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- toStringHuman(ClassHierarchy) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- toStringHuman(ClassHierarchy) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassTerm
- toStringWithDepths(ClassHierarchy) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesValue
- TotalAveraging - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleROSVotingType
-
Use all targets for voting.
- TotCoverageWeighted - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.RulePredictionMethod
-
Each rule's prediction has a weight proportional to its coverage on the total learning set
- toVector() - Method in class si.ijs.kt.clus.util.jeans.list.BitList
- train(RowData) - Method in class si.ijs.kt.clus.Clus
- Train - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsOutput.WritePredictions
- TRAIN - Static variable in interface si.ijs.kt.clus.model.ClusModel
- TRAIN_ERR - Static variable in class si.ijs.kt.clus.model.ClusModelInfo
- TRAINSET - Static variable in class si.ijs.kt.clus.main.ClusModelInfoList
- transformToMajority(double[][]) - Static method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptimization
-
Transform the class counts to majority vote (the one with max votes gets 1)
- transformToProbabilityDistribution(double[][]) - Static method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptimization
-
Transform the class counts to probability distributions.
- traverseTreeAndRecordEncodingCost(ClusNode, ClusNode, RowData) - Method in class si.ijs.kt.clus.pruning.EncodingCostPruning
- traverseTreeAndRecordEncodingCostIfLeafChildren(ClusNode, ClusNode, RowData) - Method in class si.ijs.kt.clus.pruning.EncodingCostPruning
- Tree - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMLC.HierarchyType
- Tree - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMTR.HierarchyTypesHMTR
- TREE - Static variable in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- TREE_ERROR - Static variable in class si.ijs.kt.clus.error.common.ClusError
- TREE_POSTFIX - Static variable in class si.ijs.kt.clus.error.common.ClusError
- treecpt - Static variable in class si.ijs.kt.clus.main.Global
- TreeErrorComputer - Class in si.ijs.kt.clus.pruning
- TreeErrorComputer() - Constructor for class si.ijs.kt.clus.pruning.TreeErrorComputer
- TreeIterator - Class in si.ijs.kt.clus.util.jeans.tree
- TreeIterator(Node) - Constructor for class si.ijs.kt.clus.util.jeans.tree.TreeIterator
- TreeIterator(TreeIterator) - Constructor for class si.ijs.kt.clus.util.jeans.tree.TreeIterator
- trimDirSeparator(String) - Static method in class si.ijs.kt.clus.util.jeans.util.FileUtil
- trimSpacesAndTabs(String) - Static method in class si.ijs.kt.clus.util.jeans.util.StringUtils
- trimToSize() - Method in class si.ijs.kt.clus.util.jeans.util.array.MyIntArray
- trimToSize() - Method in class si.ijs.kt.clus.util.jeans.util.MyArray
- Triple<T1,
T2, T3> - Class in si.ijs.kt.clus.util.tuple -
Implements 3-Tuple.
- Triple(T1, T2, T3) - Constructor for class si.ijs.kt.clus.util.tuple.Triple
- TrueValues(int) - Constructor for class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem.TrueValues
-
An empty class
- TrueValues(int, DataTuple) - Constructor for class si.ijs.kt.clus.util.tools.optimization.OptimizationProblem.TrueValues
- tryEachLeaf(ClusNode, ClusNode, int, double, int[]) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- tryGivenLeaf(ClusNode, boolean, int, double, int[]) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- tryInitializeMLC(int[], RowData, double) - Method in class si.ijs.kt.clus.algo.kNN.KnnModel
- tryInitializeMLC(int[], RowData, KnnModel, double) - Method in class si.ijs.kt.clus.statistic.KnnMlcStat
-
Initializes MLC counts, i.e., updates the fields m_PriorLabelProbabilities and m_NeighbourhoodProbabilities.
- tryLabel(ILevelCHeurStat, ILevelCHeurStat, int, int) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCInduce
- tryLogBeam(MyFile, ClusBeam, String) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- tryLogBeam(MyFile, ClusBeam, String) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- tryReOpen() - Method in class si.ijs.kt.clus.data.io.ClusReader
- TSC - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTimeSeries.TimeSeriesDistanceMeasure
- TSC - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.TimeSeriesDistanceMeasure
- TSCTimeSeriesDist - Class in si.ijs.kt.clus.distance.primitive.timeseries
- TSCTimeSeriesDist(TimeSeriesAttrType) - Constructor for class si.ijs.kt.clus.distance.primitive.timeseries.TSCTimeSeriesDist
- tuple - Variable in class si.ijs.kt.clus.algo.kNN.distance.distanceWeighting.DistanceWeighting
-
Tuple to be classified
- Tuple - Class in si.ijs.kt.clus.ext.structuredTypes
- Tuple - Enum constant in enum class si.ijs.kt.clus.data.type.ClusAttrType.AttributeType
- Tuple(int) - Constructor for class si.ijs.kt.clus.ext.structuredTypes.Tuple
- Tuple(Object[]) - Constructor for class si.ijs.kt.clus.ext.structuredTypes.Tuple
- Tuple(String) - Constructor for class si.ijs.kt.clus.ext.structuredTypes.Tuple
- Tuple(Tuple) - Constructor for class si.ijs.kt.clus.ext.structuredTypes.Tuple
- TupleAttrType - Class in si.ijs.kt.clus.data.type.complex
- TupleAttrType(String) - Constructor for class si.ijs.kt.clus.data.type.complex.TupleAttrType
- TupleAttrType(String, String, ClusAttrType[]) - Constructor for class si.ijs.kt.clus.data.type.complex.TupleAttrType
- TupleAttrType.MySerializable - Class in si.ijs.kt.clus.data.type.complex
- TupleDistance - Class in si.ijs.kt.clus.distance.complex
- TupleDistance(TupleAttrType) - Constructor for class si.ijs.kt.clus.distance.complex.TupleDistance
- TupleIterator - Class in si.ijs.kt.clus.data.rows
- TupleIterator() - Constructor for class si.ijs.kt.clus.data.rows.TupleIterator
- TupleIterator(DataPreprocs) - Constructor for class si.ijs.kt.clus.data.rows.TupleIterator
- TuplePreproc - Interface in si.ijs.kt.clus.data.rows
- TupleStatistic - Class in si.ijs.kt.clus.ext.structuredTypes
- TupleStatistic(Settings, TupleAttrType, ClusDistance, SettingsTimeSeries.TimeSeriesPrototypeComplexity) - Constructor for class si.ijs.kt.clus.ext.structuredTypes.TupleStatistic
- TWO_AFTER_DOT - Static variable in class si.ijs.kt.clus.util.format.ClusFormat
- twoSidedSit(ClusData, ClusData) - Method in class si.ijs.kt.clus.algo.tdidt.ClusSITDecisionTree
- type - Variable in class si.ijs.kt.clus.ext.semisupervised.confidence.RandomScore
- TYPE_DOUBLE_ARRAY - Static variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFile
- TYPE_INT_ARRAY - Static variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFile
- TYPE_INVERSE_NUMERIC - Static variable in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- TYPE_INVERSE_NUMERIC - Static variable in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- TYPE_NONE - Static variable in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- TYPE_NONE - Static variable in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- TYPE_NUMERIC - Static variable in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- TYPE_NUMERIC - Static variable in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- TYPE_STRING_ARRAY - Static variable in class si.ijs.kt.clus.util.jeans.io.ini.INIFile
- TYPE_TEST - Static variable in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- TYPE_TEST - Static variable in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
U
- unCaseCompare(String, String) - Static method in class si.ijs.kt.clus.util.jeans.util.StringUtils
- Undefined - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleBootstrapping
- Undefined - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMLC.HierarchyMeasures
- union(int, int) - Method in class si.ijs.kt.clus.util.jeans.util.DisjointSetForest
- union(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- union(ClusStatistic) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- Union - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.CoveringMethod
-
In multi-label classification: predicted set of classes is union of predictions of individual rules
- Union - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.RulePredictionMethod
- unionDone() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- unionDone() - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- unionInit() - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- unionInit() - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- unique(ClusRule) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
-
Tests if the rule is already in the rule set.
- uniqueDeeply(ClusRule) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleSet
- UniqueNodeIdentifier - Class in si.ijs.kt.clus.util
- UniqueNodeIdentifier(int) - Constructor for class si.ijs.kt.clus.util.UniqueNodeIdentifier
- UNK - Static variable in class si.ijs.kt.clus.algo.tdidt.ClusNode
- Unknown - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMLC.HierarchyType
- UNKNOWN - Static variable in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- UNKNOWN - Static variable in class si.ijs.kt.clus.model.test.NodeTest
- unprepare() - Method in class si.ijs.kt.clus.data.cols.attribute.ClusAttribute
- unprepare() - Method in class si.ijs.kt.clus.data.cols.attribute.NumericAttribute
- unregisterFastCloner(Class<?>) - Method in class si.ijs.kt.clus.util.cloner.Cloner
- unsort(double[], int[]) - Static method in class si.ijs.kt.clus.util.jeans.util.sort.DoubleIndexSorter
- update(ClusSchema) - Method in class si.ijs.kt.clus.main.settings.Settings
- update(ColTarget, int) - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreStat
- update(ColTarget, int) - Method in class si.ijs.kt.clus.statistic.BitVectorStat
- update(ColTarget, int) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- update(ClassTerm, int, double[]) - Method in class si.ijs.kt.clus.error.hmlc.HierLevelAccuracy
- update(ClusSelection) - Method in class si.ijs.kt.clus.data.rows.RowData
- Update - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.GDExternalMethodValues
- updateAll(boolean[], double[], boolean[]) - Method in class si.ijs.kt.clus.error.mlcForHmlc.MlcMeasuresForHmlc
- updateAllPredictions(ArrayList<ClusBeamModel>) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamInduce
- updateArity() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- updateArity() - Method in class si.ijs.kt.clus.ext.optiontree.ClusSplitNode
- updateArity() - Method in class si.ijs.kt.clus.model.test.NodeTest
- updateAttributeUse() - Method in class si.ijs.kt.clus.data.ClusSchema
- updateCenter() - Method in class si.ijs.kt.clus.ext.ilevelc.COPKMeansCluster
- updateClusterCenters() - Method in class si.ijs.kt.clus.ext.ilevelc.COPKMeans
- updateCounts(ArrayList<Integer>, int, int, int) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
-
Used for more efficient updating if the corresponding tree is a part of more than one forest.
- updateDataFile(String) - Method in class si.ijs.kt.clus.main.settings.section.SettingsData
- updateDefaultRule(ClusRuleSet, RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleConstraintInduce
- updateDefaultRule(ClusRuleSet, RowData) - Method in class si.ijs.kt.clus.algo.rules.ClusRuleInduce
-
Updates the default rule.
- updateDisabledSettings() - Method in class si.ijs.kt.clus.main.settings.Settings
- updateDistribution(double[], double) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassesTuple
- updateErrorMeasures(ClusRun) - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageNodeWiseModels
- updateExtra(DataTuple, ClusStatistic[], int) - Static method in class si.ijs.kt.clus.ext.optxval.OptXValIndOV
-
Deprecated.
- updateFoldSet(DataTuple, int[]) - Method in class si.ijs.kt.clus.ext.optxval.SoftNumericTest
- updateFoldSet(RowData, int, DataTuple, int[]) - Method in class si.ijs.kt.clus.ext.optxval.SoftNumericTest
- updateFoldSet2(RowData, int, DataTuple, int[]) - Method in class si.ijs.kt.clus.ext.optxval.SoftNumericTest
- updateFromGlobalMeasure(ClusError) - Method in class si.ijs.kt.clus.error.common.ClusError
- updateFromGlobalMeasure(ClusError) - Method in class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy
- updateFromGlobalMeasure(ClusError) - Method in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- updateFromGlobalMeasure(ClusErrorList) - Method in class si.ijs.kt.clus.error.common.ClusErrorList
- updateInverseNumeric(double, ClusAttrType) - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
-
Take the inverse test '
<=
' instead of the default '>
'. - updateInverseNumeric(double, ClusAttrType) - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
-
Take the inverse test '<=' instead of the default '>'.
- updateLambda(ClusNode) - Static method in class si.ijs.kt.clus.pruning.CartPruning
- updateLambdaMin(ClusNode) - Static method in class si.ijs.kt.clus.pruning.CartPruning
- updateMaxMemory() - Static method in class si.ijs.kt.clus.main.ClusStat
- updateModelRefinement(ClusBeamModel) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusFastBeamSearch
- updateName(ClusModelInfo) - Method in class si.ijs.kt.clus.model.ClusModelInfo
- updateNbRandomAttrSelected(ClusSchema) - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- updateNumeric(double, ClusAttrType) - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- updateNumeric(double, ClusAttrType) - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- updateNumeric(double, ClusAttrType, double, boolean) - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- updateNumeric(double, ClusStatistic, ClusAttrType) - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
-
Numeric splits
- updateNumeric(double, ClusStatistic, ClusAttrType) - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
-
Numeric splits
- updateNumericGIS(double, ClusAttrType, Integer[]) - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
-
Version of updateNumeric for if there are any GIS attributes.
- updateOOBMapping(DataTuple, int) - Method in class si.ijs.kt.clus.ext.ensemble.ClusOOBErrorEstimate
- updateOOBTuple(DataTuple, ClusModel) - Method in class si.ijs.kt.clus.ext.ensemble.ClusOOBErrorEstimate
- updateOOBTuples(OOBSelection, RowData, ClusModel, int) - Method in class si.ijs.kt.clus.ext.ensemble.ClusOOBErrorEstimate
- updatePrediction(RowData, int, int, ClusModel, ClassTerm, ClassTerm) - Method in class si.ijs.kt.clus.addon.hmc.HMCAverageSingleClass.HMCAverageNodeWiseModels
- updatePredictionsForTuples(ClusModel, TupleIterator, TupleIterator) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptClassification
- updatePredictionsForTuples(ClusModel, TupleIterator, TupleIterator) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptimization
- updatePredictionsForTuples(ClusModel, TupleIterator, TupleIterator) - Method in class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptRegHMLC
- updatePredictWriterSchema(ClusSchema) - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- updatePredictWriterSchema(ClusSchema) - Method in class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrType
- updatePredictWriterSchema(ClusSchema) - Method in class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrTypeSingleLabel
- updatePrunedModelInfo(ClusModelInfo) - Method in class si.ijs.kt.clus.ext.hierarchical.HierClassTresholdPruner
- updatePrunedModelInfo(ClusModelInfo) - Method in class si.ijs.kt.clus.pruning.PruneTree
- updateRange(SimpleMatrix, int, int, int, int, double) - Static method in class si.ijs.kt.clus.ext.featureRanking.relief.statistics.Steepness
- updateRange(SimpleMatrix, int, int, int, int, Random) - Static method in class si.ijs.kt.clus.ext.featureRanking.relief.statistics.Steepness
- updateRange(SimpleMatrix, int, int, SimpleMatrix) - Static method in class si.ijs.kt.clus.ext.featureRanking.relief.statistics.Steepness
- updateSoft() - Method in class si.ijs.kt.clus.ext.optxval.OptXValGroup
- updateStatistic(String, ClusStatistic[]) - Method in class si.ijs.kt.clus.Clus
- updateStatistics(int, int, double) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.statistics.Classic
- updateStatistics(int, int, double) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.statistics.DistanceSimplified
- updateStatistics(int, int, double) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.statistics.Statistics
- updateStatistics(int, int, double) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.statistics.Steepness
- updateStatistics(int, int, double) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.statistics.Variance
- updateStatistics(ClusModel) - Method in class si.ijs.kt.clus.main.ClusStatManager
- updateSums(double, double, int) - Method in class si.ijs.kt.clus.error.PearsonCorrelation
- updateTarget(ClusSchema) - Method in class si.ijs.kt.clus.main.settings.Settings
- updateTempStatistics(int, boolean, DataTuple, RowData, NearestNeighbour, double, int, int) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.statistics.Classic
- updateTempStatistics(int, boolean, DataTuple, RowData, NearestNeighbour, double, int, int) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.statistics.DistanceSimplified
- updateTempStatistics(int, boolean, DataTuple, RowData, NearestNeighbour, double, int, int) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.statistics.Statistics
- updateTempStatistics(int, boolean, DataTuple, RowData, NearestNeighbour, double, int, int) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.statistics.Steepness
- updateTempStatistics(int, boolean, DataTuple, RowData, NearestNeighbour, double, int, int) - Method in class si.ijs.kt.clus.ext.featureRanking.relief.statistics.Variance
- updateTest() - Method in class si.ijs.kt.clus.algo.split.CurrentBestTestAndHeuristic
- updateTest() - Method in class si.ijs.kt.clus.ext.optiontree.TestAndHeuristic
- updateThresholds(double) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- updateTree() - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- updateWeighted(DataTuple, double) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimClassStat
- updateWeighted(DataTuple, double) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimRegrStat
- updateWeighted(DataTuple, double) - Method in class si.ijs.kt.clus.ext.ilevelc.ILevelCHeurStat
- updateWeighted(DataTuple, double) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- updateWeighted(DataTuple, double) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- updateWeighted(DataTuple, double) - Method in class si.ijs.kt.clus.statistic.CombStat
- updateWeighted(DataTuple, double) - Method in class si.ijs.kt.clus.statistic.CombStatClassRegHier
- updateWeighted(DataTuple, double) - Method in class si.ijs.kt.clus.statistic.RegressionStat
- updateWeighted(DataTuple, double) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- updateWeighted(DataTuple, int) - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreStat
- updateWeighted(DataTuple, int) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimClassStat
- updateWeighted(DataTuple, int) - Method in class si.ijs.kt.clus.ext.structuredTypes.SetStatistic
- updateWeighted(DataTuple, int) - Method in class si.ijs.kt.clus.ext.structuredTypes.TupleStatistic
- updateWeighted(DataTuple, int) - Method in class si.ijs.kt.clus.ext.timeseries.TimeSeriesStat
- updateWeighted(DataTuple, int) - Method in class si.ijs.kt.clus.statistic.BitVectorStat
- updateWeighted(DataTuple, int) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- updateWeighted(DataTuple, int) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- updateWeighted(DataTuple, int) - Method in class si.ijs.kt.clus.statistic.CombStat
- updateWeighted(DataTuple, int) - Method in class si.ijs.kt.clus.statistic.CombStatClassRegHier
- updateWeighted(DataTuple, int) - Method in class si.ijs.kt.clus.statistic.GeneticDistanceStat
- updateWeighted(DataTuple, int) - Method in class si.ijs.kt.clus.statistic.HierSumPairwiseDistancesStat
- updateWeighted(DataTuple, int) - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- updateWeighted(SparseDataTuple, double) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimRegrStat
- updateWeighted(SparseDataTuple, int) - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreStat
- updateWeighted(SparseDataTuple, int) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimClassStat
- updateWeights(RowData, double[], double) - Method in class si.ijs.kt.clus.ext.ensemble.ClusBoostingInduce
- UseDescriptive - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRelief.MissingTargetHandling
- useMEstimate() - Method in class si.ijs.kt.clus.main.settings.section.SettingsHMLC
- UserDefinedWeighting - Class in si.ijs.kt.clus.algo.kNN.distance.attributeWeighting
- UserDefinedWeighting(double[]) - Constructor for class si.ijs.kt.clus.algo.kNN.distance.attributeWeighting.UserDefinedWeighting
V
- VALID_ERR - Static variable in class si.ijs.kt.clus.model.ClusModelInfo
- validateSettings(ClusSchema) - Method in class si.ijs.kt.clus.main.settings.Settings
- validateSettingsInternal() - Method in class si.ijs.kt.clus.main.settings.section.SettingsEnsemble
- validateSettingsInternal() - Method in class si.ijs.kt.clus.main.settings.SettingsBase
-
This method should be overriden to check for inconsistencies in the section settings.
- VALIDATIONSET - Static variable in class si.ijs.kt.clus.main.ClusModelInfoList
- ValueCheck - Interface in si.ijs.kt.clus.util.jeans.io.range
- valueOf(String) - Static method in enum class si.ijs.kt.clus.Clus.DebugType
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.data.type.ClusAttrType.AttributeType
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.data.type.ClusAttrType.AttributeUseType
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.data.type.ClusAttrType.Status
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.data.type.ClusAttrType.ValueType
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.error.mlcForHmlc.MLROCAndPRCurve.CurveType
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce.ParallelTrap
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.ClusStatManager.Mode
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.ClusStatManager.TargetType
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsData.NormalizeDataValues
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleBootstrapping
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleMethod
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleRanking
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleROSAlgorithmType
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleROSVotingType
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleVotingType
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.RandomAttributeTypeSelection
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsGeneral.ResourceInfoLoad
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsHMLC.HierarchyDistance
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsHMLC.HierarchyMeasures
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsHMLC.HierarchyType
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsHMLC.HierarchyWeight
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsHMTR.HierarchyAggregationsHMTR
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsHMTR.HierarchyDistanceHMTR
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsHMTR.HierarchyTypesHMTR
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsKNN.Distance
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsKNN.DistanceWeights
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsKNN.SearchMethod
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsMLC.MultiLabelMeasures
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsMLC.MultiLabelThresholdOptimization
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsOutput.ConvertRules
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsOutput.PythonModelType
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsOutput.ShowInfo
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsOutput.ShowModels
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsOutput.WritePredictions
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsPhylogeny.PhylogenyCriterion
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsPhylogeny.PhylogenyDistanceMeasure
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsPhylogeny.PhylogenySequence
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsRelief.MissingTargetHandling
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsRelief.MultilabelDistance
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsRelief.ReliefStatisticsType
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.CoveringMethod
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.GDExternalMethodValues
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.InitialRuleGeneratingMethod
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.OptimizationGDAddLinearTerms
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.OptimizationGDMTCombineGradient
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.OptimizationLinearTermNormalizeValues
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.OptimizationLossFunction
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.OptimizationNormalization
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.RuleAddingMethod
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.RulePredictionMethod
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLAggregation
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLConfidenceMeasure
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLMethod
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLNormalization
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLOOBErrorCalculation
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLStoppingCriteria
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLUnlabeledCriteria
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsTimeSeries.TimeSeriesDistanceMeasure
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsTimeSeries.TimeSeriesPrototypeComplexity
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.EntropyType
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.Heuristic
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.InductionOrder
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.MissingClusteringAttributeHandlingType
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.MissingTargetAttributeHandlingType
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.PruningMethod
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SetDistance
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMatrixType
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMeasure
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SplitPositions
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.TimeSeriesDistanceMeasure
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.TreeOptimizeValues
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.TupleDistance
-
Returns the enum constant of this class with the specified name.
- valueOf(String) - Static method in enum class si.ijs.kt.clus.main.settings.SettingsBase.YesNo
-
Returns the enum constant of this class with the specified name.
- values() - Static method in enum class si.ijs.kt.clus.Clus.DebugType
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.data.type.ClusAttrType.AttributeType
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.data.type.ClusAttrType.AttributeUseType
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.data.type.ClusAttrType.Status
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.data.type.ClusAttrType.ValueType
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.error.mlcForHmlc.MLROCAndPRCurve.CurveType
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduce.ParallelTrap
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.ClusStatManager.Mode
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.ClusStatManager.TargetType
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsData.NormalizeDataValues
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleBootstrapping
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleMethod
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleRanking
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleROSAlgorithmType
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleROSVotingType
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleVotingType
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.RandomAttributeTypeSelection
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsGeneral.ResourceInfoLoad
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsHMLC.HierarchyDistance
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsHMLC.HierarchyMeasures
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsHMLC.HierarchyType
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsHMLC.HierarchyWeight
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsHMTR.HierarchyAggregationsHMTR
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsHMTR.HierarchyDistanceHMTR
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsHMTR.HierarchyTypesHMTR
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsKNN.Distance
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsKNN.DistanceWeights
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsKNN.SearchMethod
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsMLC.MultiLabelMeasures
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsMLC.MultiLabelThresholdOptimization
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsOutput.ConvertRules
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsOutput.PythonModelType
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsOutput.ShowInfo
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsOutput.ShowModels
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsOutput.WritePredictions
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsPhylogeny.PhylogenyCriterion
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsPhylogeny.PhylogenyDistanceMeasure
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsPhylogeny.PhylogenySequence
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsRelief.MissingTargetHandling
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsRelief.MultilabelDistance
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsRelief.ReliefStatisticsType
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.CoveringMethod
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.GDExternalMethodValues
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.InitialRuleGeneratingMethod
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.OptimizationGDAddLinearTerms
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.OptimizationGDMTCombineGradient
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.OptimizationLinearTermNormalizeValues
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.OptimizationLossFunction
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.OptimizationNormalization
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.RuleAddingMethod
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.RulePredictionMethod
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLAggregation
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLConfidenceMeasure
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLMethod
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLNormalization
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLOOBErrorCalculation
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLStoppingCriteria
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLUnlabeledCriteria
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsTimeSeries.TimeSeriesDistanceMeasure
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsTimeSeries.TimeSeriesPrototypeComplexity
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.EntropyType
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.Heuristic
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.InductionOrder
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.MissingClusteringAttributeHandlingType
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.MissingTargetAttributeHandlingType
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.PruningMethod
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SetDistance
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMatrixType
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SpatialMeasure
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.SplitPositions
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.TimeSeriesDistanceMeasure
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.TreeOptimizeValues
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.TupleDistance
-
Returns an array containing the constants of this enum class, in the order they are declared.
- values() - Static method in enum class si.ijs.kt.clus.main.settings.SettingsBase.YesNo
-
Returns an array containing the constants of this enum class, in the order they are declared.
- VAR - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMTR.HierarchyAggregationsHMTR
- variance() - Method in class si.ijs.kt.clus.algo.kNN.distance.valentin.NumericStatistic
- variance(double[]) - Static method in class si.ijs.kt.clus.util.ClusUtil
- Variance - Class in si.ijs.kt.clus.ext.featureRanking.relief.statistics
- Variance - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRelief.ReliefStatisticsType
- Variance - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsSSL.SSLConfidenceMeasure
-
Variance - standard deviation of votes of ensemble
- Variance(ClusReliefFeatureRanking, int, int, int) - Constructor for class si.ijs.kt.clus.ext.featureRanking.relief.statistics.Variance
- VarianceReduction - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.Heuristic
- VarianceReductionGIS - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.Heuristic
- VarianceReductionHeuristic - Class in si.ijs.kt.clus.heuristic
- VarianceReductionHeuristic(String, ClusStatistic, ClusAttributeWeights, Settings) - Constructor for class si.ijs.kt.clus.heuristic.VarianceReductionHeuristic
- VarianceReductionHeuristic(ClusStatistic, ClusAttributeWeights, Settings) - Constructor for class si.ijs.kt.clus.heuristic.VarianceReductionHeuristic
- VarianceReductionHeuristicCompatibility - Class in si.ijs.kt.clus.heuristic
- VarianceReductionHeuristicCompatibility(String, ClusStatistic, ClusAttributeWeights, Settings) - Constructor for class si.ijs.kt.clus.heuristic.VarianceReductionHeuristicCompatibility
- VarianceReductionHeuristicCompatibility(ClusStatistic, ClusAttributeWeights, Settings) - Constructor for class si.ijs.kt.clus.heuristic.VarianceReductionHeuristicCompatibility
- VarianceReductionHeuristicEfficient - Class in si.ijs.kt.clus.heuristic
- VarianceReductionHeuristicEfficient(ClusAttributeWeights, ClusAttrType[], Settings) - Constructor for class si.ijs.kt.clus.heuristic.VarianceReductionHeuristicEfficient
- VarianceReductionHeuristicInclMissingValues - Class in si.ijs.kt.clus.heuristic
- VarianceReductionHeuristicInclMissingValues(ClusAttributeWeights, ClusAttrType[], ClusStatistic, Settings) - Constructor for class si.ijs.kt.clus.heuristic.VarianceReductionHeuristicInclMissingValues
- VarianceReductionMissing - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.Heuristic
- VarianceScore - Class in si.ijs.kt.clus.ext.semisupervised.confidence.regression
-
Calculates the confidence of predictions as standard deviation of votes of the trees in random forest tree ensemble.
- VarianceScore(ClusStatManager, SettingsSSL.SSLNormalization, SettingsSSL.SSLAggregation) - Constructor for class si.ijs.kt.clus.ext.semisupervised.confidence.regression.VarianceScore
- VectorDistance - Class in si.ijs.kt.clus.algo.kNN.distance.valentin
-
This class represents distances between DataTuples
- VectorDistance(ClusAttrType[], double[]) - Constructor for class si.ijs.kt.clus.algo.kNN.distance.valentin.VectorDistance
- vectorToAttrArray(ArrayList) - Static method in class si.ijs.kt.clus.data.ClusSchema
- vectorToNominalAttrArray(ArrayList) - Static method in class si.ijs.kt.clus.data.ClusSchema
- vectorToNumericAttrArray(ArrayList) - Static method in class si.ijs.kt.clus.data.ClusSchema
- vectorToTimeSeriesAttrArray(ArrayList) - Static method in class si.ijs.kt.clus.data.ClusSchema
- Visitable - Class in si.ijs.kt.clus.util.jeans.util
- Visitable() - Constructor for class si.ijs.kt.clus.util.jeans.util.Visitable
- VisitableNode - Class in si.ijs.kt.clus.util.jeans.tree
- VisitableNode(Node) - Constructor for class si.ijs.kt.clus.util.jeans.tree.VisitableNode
- visitor - Variable in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSizeConstraintInfo
- visitors - Variable in class si.ijs.kt.clus.util.jeans.util.Visitable
- vote(ArrayList) - Method in class si.ijs.kt.clus.statistic.CombStatClassRegHier
- vote(ArrayList<ClusStatistic>) - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreStat
- vote(ArrayList<ClusStatistic>) - Method in class si.ijs.kt.clus.statistic.BitVectorStat
- vote(ArrayList<ClusStatistic>) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- vote(ArrayList<ClusStatistic>) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- vote(ArrayList<ClusStatistic>) - Method in class si.ijs.kt.clus.statistic.CombStat
- vote(ArrayList<ClusStatistic>) - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- vote(ArrayList<ClusStatistic>) - Method in class si.ijs.kt.clus.statistic.WHTDStatistic
- vote(ArrayList<ClusStatistic>, ClusOOBWeights) - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreStat
- vote(ArrayList<ClusStatistic>, ClusOOBWeights) - Method in class si.ijs.kt.clus.statistic.BitVectorStat
- vote(ArrayList<ClusStatistic>, ClusOOBWeights) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- vote(ArrayList<ClusStatistic>, ClusOOBWeights) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- vote(ArrayList<ClusStatistic>, ClusOOBWeights) - Method in class si.ijs.kt.clus.statistic.CombStat
- vote(ArrayList<ClusStatistic>, ClusOOBWeights) - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- vote(ArrayList<ClusStatistic>, ClusOOBWeights, ClusROSForestInfo) - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreStat
- vote(ArrayList<ClusStatistic>, ClusOOBWeights, ClusROSForestInfo) - Method in class si.ijs.kt.clus.statistic.BitVectorStat
- vote(ArrayList<ClusStatistic>, ClusOOBWeights, ClusROSForestInfo) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- vote(ArrayList<ClusStatistic>, ClusOOBWeights, ClusROSForestInfo) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- vote(ArrayList<ClusStatistic>, ClusOOBWeights, ClusROSForestInfo) - Method in class si.ijs.kt.clus.statistic.CombStat
- vote(ArrayList<ClusStatistic>, ClusOOBWeights, ClusROSForestInfo) - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- vote(ArrayList<ClusStatistic>, ClusROSForestInfo) - Method in class si.ijs.kt.clus.error.common.multiscore.MultiScoreStat
- vote(ArrayList<ClusStatistic>, ClusROSForestInfo) - Method in class si.ijs.kt.clus.statistic.BitVectorStat
- vote(ArrayList<ClusStatistic>, ClusROSForestInfo) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- vote(ArrayList<ClusStatistic>, ClusROSForestInfo) - Method in class si.ijs.kt.clus.statistic.ClusStatistic
- vote(ArrayList<ClusStatistic>, ClusROSForestInfo) - Method in class si.ijs.kt.clus.statistic.CombStat
- vote(ArrayList<ClusStatistic>, ClusROSForestInfo) - Method in class si.ijs.kt.clus.statistic.RegressionStatBase
- voteMajority(ArrayList<ClusStatistic>) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- voteMajority(ArrayList<ClusStatistic>, ClusROSForestInfo) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- voteProbDistr(ArrayList<ClusStatistic>) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- voteProbDistr(ArrayList<ClusStatistic>, ClusROSForestInfo) - Method in class si.ijs.kt.clus.statistic.ClassificationStat
- VPItem - Class in si.ijs.kt.clus.algo.kNN.methods.vpTree
- VPItem(DataTuple) - Constructor for class si.ijs.kt.clus.algo.kNN.methods.vpTree.VPItem
- VPNode - Class in si.ijs.kt.clus.algo.kNN.methods.vpTree
- VPNode(VPItem) - Constructor for class si.ijs.kt.clus.algo.kNN.methods.vpTree.VPNode
-
Constructs new VPNode.
- VPTree - Class in si.ijs.kt.clus.algo.kNN.methods.vpTree
- VPTree - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsKNN.SearchMethod
- VPTree(ClusRun, SearchDistance) - Constructor for class si.ijs.kt.clus.algo.kNN.methods.vpTree.VPTree
W
- WAHNDError - Class in si.ijs.kt.clus.error
- WAHNDError(ClusErrorList, double) - Constructor for class si.ijs.kt.clus.error.WAHNDError
- WAHNDError(ClusErrorList, double, String) - Constructor for class si.ijs.kt.clus.error.WAHNDError
- weight(int, int, float) - Static method in class si.ijs.kt.clus.addon.network.PredictionAnalyzer
- weight(DataTuple) - Method in class si.ijs.kt.clus.algo.kNN.distance.distanceWeighting.DistanceWeighting
-
Return distance weight for tuple el.
- weight(DataTuple) - Method in class si.ijs.kt.clus.algo.kNN.distance.distanceWeighting.WeightConstant
- weight(DataTuple) - Method in class si.ijs.kt.clus.algo.kNN.distance.distanceWeighting.WeightMinus
- weight(DataTuple) - Method in class si.ijs.kt.clus.algo.kNN.distance.distanceWeighting.WeightOver
- WEIGHT_OBJECTIVE_ACCURACY - Variable in class si.ijs.kt.clus.algo.rules.probabilistic.ClusRuleProbabilisticRuleSetInduceWeights
- WEIGHT_OBJECTIVE_CARDINALITY - Variable in class si.ijs.kt.clus.algo.rules.probabilistic.ClusRuleProbabilisticRuleSetInduceWeights
- WEIGHT_OBJECTIVE_CORRECT_COVER - Variable in class si.ijs.kt.clus.algo.rules.probabilistic.ClusRuleProbabilisticRuleSetInduceWeights
- WEIGHT_OBJECTIVE_INCORRECT_COVER - Variable in class si.ijs.kt.clus.algo.rules.probabilistic.ClusRuleProbabilisticRuleSetInduceWeights
- WEIGHT_OBJECTIVE_OVERLAP - Variable in class si.ijs.kt.clus.algo.rules.probabilistic.ClusRuleProbabilisticRuleSetInduceWeights
- WEIGHT_OBJECTIVE_SIZE - Variable in class si.ijs.kt.clus.algo.rules.probabilistic.ClusRuleProbabilisticRuleSetInduceWeights
-
default weights
- WeightConstant - Class in si.ijs.kt.clus.algo.kNN.distance.distanceWeighting
- WeightConstant(LinkedList<DataTuple>, SearchAlgorithm, DataTuple) - Constructor for class si.ijs.kt.clus.algo.kNN.distance.distanceWeighting.WeightConstant
-
Inicialize new distance weigthing schem for set of tuples, selected algorithm and interested tuple.
- WeightedAdditive - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.CoveringMethod
- weightedAUPRC - Enum constant in enum class si.ijs.kt.clus.error.mlcForHmlc.MLROCAndPRCurve.CurveType
- weightedAUPRC - Static variable in class si.ijs.kt.clus.error.mlc.MLROCAndPRCurve
- WeightedAverageAUPRC - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMLC.HierarchyMeasures
- WeightedAverageAUPRC - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsMLC.MultiLabelMeasures
- WeightedError - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.CoveringMethod
- WeightedEuclidean - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMLC.HierarchyDistance
- WeightedEuclidean - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMTR.HierarchyDistanceHMTR
- WeightedMultiplicative - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.CoveringMethod
-
'Weighted' coverings: unordered rules
- WeightMinus - Class in si.ijs.kt.clus.algo.kNN.distance.distanceWeighting
- WeightMinus(LinkedList<DataTuple>, SearchAlgorithm, DataTuple) - Constructor for class si.ijs.kt.clus.algo.kNN.distance.distanceWeighting.WeightMinus
-
Inicialize new distance weigthing schem for set of tuples, selected algorithm and interested tuple.
- WeightOver - Class in si.ijs.kt.clus.algo.kNN.distance.distanceWeighting
- WeightOver(LinkedList<DataTuple>, SearchAlgorithm, DataTuple) - Constructor for class si.ijs.kt.clus.algo.kNN.distance.distanceWeighting.WeightOver
-
Inicialize new distance weigthing schem for set of tuples, selected algorithm and interested tuple.
- WHTDStatistic - Class in si.ijs.kt.clus.statistic
- WHTDStatistic(Settings, ClassHierarchy) - Constructor for class si.ijs.kt.clus.statistic.WHTDStatistic
-
Constructor for poolAUPRC case
- WHTDStatistic(Settings, ClassHierarchy, boolean) - Constructor for class si.ijs.kt.clus.statistic.WHTDStatistic
- writeArff(String, RowData) - Static method in class si.ijs.kt.clus.data.io.ARFFFile
- writeArffHeader(PrintWriter, ClusSchema) - Static method in class si.ijs.kt.clus.data.io.ARFFFile
- writeArffHeaderToSC(PrintWriter, ClusSchema, String[], boolean) - Static method in class si.ijs.kt.clus.addon.hmc.HMCConvertToSC.HMCConvertToSC
- writeArffToSC(String, RowData, String[], boolean[][], boolean) - Static method in class si.ijs.kt.clus.addon.hmc.HMCConvertToSC.HMCConvertToSC
- writeARFFType(PrintWriter) - Method in class si.ijs.kt.clus.data.type.ClusAttrType
- writeARFFType(PrintWriter) - Method in class si.ijs.kt.clus.data.type.complex.SetAttrType
- writeARFFType(PrintWriter) - Method in class si.ijs.kt.clus.data.type.complex.TupleAttrType
- writeARFFType(PrintWriter) - Method in class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrType
- writeARFFType(PrintWriter) - Method in class si.ijs.kt.clus.data.type.primitive.NominalAttrType
- writeARFFType(PrintWriter) - Method in class si.ijs.kt.clus.data.type.primitive.NumericAttrType
- writeARFFType(PrintWriter) - Method in class si.ijs.kt.clus.data.type.primitive.StringAttrType
- writeARFFType(PrintWriter) - Method in class si.ijs.kt.clus.data.type.primitive.TimeSeriesAttrType
- writeBrief(ClusRun) - Method in class si.ijs.kt.clus.main.ClusOutput
- writeCSVFilesPR(String) - Method in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- writeCSVFilesROC(String) - Method in class si.ijs.kt.clus.error.hmlc.HierErrorMeasures
- writeDescriptive(PrintWriter) - Method in class si.ijs.kt.clus.data.rows.DataTuple
-
Writes tuple's descriptive attributes in comma separated format
- writeDistributionForInternalNode(PrintWriter, StatisticPrintInfo) - Method in class si.ijs.kt.clus.algo.tdidt.ClusNode
- writeDistributionForInternalNode(PrintWriter, StatisticPrintInfo) - Method in class si.ijs.kt.clus.ext.optiontree.ClusOptionNode
- writeExamples(RowData, ClassHierarchy) - Static method in class si.ijs.kt.clus.ext.hierarchical.HierMatrixOutput
- writeFile(ClusNode) - Method in class si.ijs.kt.clus.algo.tdidt.processor.NodeExampleCollector
- writeHeader() - Method in class si.ijs.kt.clus.addon.sit.ErrorOutput
- writeHeader() - Method in class si.ijs.kt.clus.error.common.ClusErrorOutput
- writeHeader() - Method in class si.ijs.kt.clus.main.ClusOutput
- writeHeader(ClassHierarchy, PrintWriter) - Static method in class si.ijs.kt.clus.ext.hierarchical.HierMatrixOutput
- writeHeader(Settings) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimilarityOutput
- writeHierarchy(int, ClassTerm, PrintWriter) - Method in class si.ijs.kt.clus.ext.hierarchical.HierIO
- writeHierarchy(ClassTerm) - Method in class si.ijs.kt.clus.ext.hierarchical.HierIO
- writeHierarchy(ClassTerm, PrintWriter) - Method in class si.ijs.kt.clus.ext.hierarchical.HierIO
- writeJSON(ClusRun) - Method in class si.ijs.kt.clus.ext.featureRanking.ClusFeatureRanking
- writeModel(ClusModelCollectionIO) - Method in class si.ijs.kt.clus.algo.ClusInductionAlgorithm
- writeModel(ClusModelCollectionIO) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamInduce
- writeModel(ClusModelCollectionIO) - Method in class si.ijs.kt.clus.ext.beamsearch.ClusBeamSearch
- writeModel(ClusModelCollectionIO) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveInduce
- writeModel(ClusModelCollectionIO) - Method in class si.ijs.kt.clus.ext.exhaustivesearch.ClusExhaustiveSearch
- writeObject(Object) - Method in class si.ijs.kt.clus.util.jeans.io.ObjectSaveStream
- writeOutput(ClusRun, boolean) - Method in class si.ijs.kt.clus.main.ClusOutput
- writeOutput(ClusRun, boolean, boolean) - Method in class si.ijs.kt.clus.main.ClusOutput
- writeOutput(ClusRun, boolean, boolean, double[]) - Method in class si.ijs.kt.clus.error.common.ClusErrorOutput
- writePredictionsForTuple(DataTuple, ClusStatistic) - Method in class si.ijs.kt.clus.model.processor.ClusEnsemblePredictionWriter
- writePrologGraph(String, ClassTerm, PrintWriter) - Static method in class si.ijs.kt.clus.ext.hierarchical.HierIO
- writePrologTerm(ClassTerm, boolean[], PrintWriter) - Static method in class si.ijs.kt.clus.ext.hierarchical.HierIO
- writePrologTerm(ClassTerm, PrintWriter) - Static method in class si.ijs.kt.clus.ext.hierarchical.HierIO
- writePythonAggregation(PrintWriter, String, ClusStatManager.TargetType) - Static method in class si.ijs.kt.clus.ext.ensemble.ClusForest
- writePythonEnsembleFile(PrintWriter, String, SettingsOutput.PythonModelType) - Method in class si.ijs.kt.clus.ext.ensemble.ClusForest
-
Adds an ensemble predictor to python models file.
- writeRanking(String) - Method in class si.ijs.kt.clus.ext.featureRanking.ClusFeatureRanking
-
Writes fimp with where the attributes appear in the order that was chosen (as in the dataset or sorted by relevance).
- writeRDataNominalLabels(String, RowData) - Static method in class si.ijs.kt.clus.data.io.ARFFFile
- writeStream(InputStream) - Static method in class si.ijs.kt.clus.ext.ilevelc.MPCKMeansWrapper
- writeSummary(ClusSummary) - Method in class si.ijs.kt.clus.main.ClusOutput
- writeTarget(PrintWriter) - Method in class si.ijs.kt.clus.data.rows.DataTuple
-
Writes tuple's target attributes in comma separated format
- writeTargets() - Method in class si.ijs.kt.clus.Clus
- writeTargets(RowData, ClusSchema, String) - Method in class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy
- writeTuple(PrintWriter) - Method in class si.ijs.kt.clus.data.rows.DataTuple
- writeTuple(PrintWriter) - Method in class si.ijs.kt.clus.data.rows.SparseDataTuple
- writingLock() - Method in class si.ijs.kt.clus.ext.ensemble.ClusReadWriteLock
- writingUnlock() - Method in class si.ijs.kt.clus.ext.ensemble.ClusReadWriteLock
X
- xtAx(double[]) - Method in class si.ijs.kt.clus.util.jeans.math.matrix.MSymMatrix
- xtAx(MySparseVector) - Method in class si.ijs.kt.clus.util.jeans.math.matrix.MSymMatrix
- xtAx_delta(double[], double[]) - Method in class si.ijs.kt.clus.util.jeans.math.matrix.MSymMatrix
- XVAL_OVERLAP - Static variable in class si.ijs.kt.clus.main.settings.section.SettingsExperimental
- XVAL_PREDS - Static variable in class si.ijs.kt.clus.model.ClusModelInfo
- XValDataSelection - Class in si.ijs.kt.clus.selection
- XValDataSelection(IndexAttrType) - Constructor for class si.ijs.kt.clus.selection.XValDataSelection
- XValGroup - Class in si.ijs.kt.clus.selection
- XValGroup(int) - Constructor for class si.ijs.kt.clus.selection.XValGroup
- xvalInduce(OptXValGroup) - Method in class si.ijs.kt.clus.ext.optxval.OptXValIndNO
- xvalInduce(OptXValGroup) - Method in class si.ijs.kt.clus.ext.optxval.OptXValIndOV
-
Deprecated.
- xvalInduce(OptXValGroup) - Method in class si.ijs.kt.clus.ext.optxval.OptXValInduce
- xvalInduce(OptXValNode, OptXValGroup) - Method in class si.ijs.kt.clus.ext.optxval.OptXValIndNO
- xvalInduce(OptXValNode, OptXValGroup) - Method in class si.ijs.kt.clus.ext.optxval.OptXValIndOV
-
Deprecated.
- XValMainSelection - Class in si.ijs.kt.clus.selection
- XValMainSelection(int, int) - Constructor for class si.ijs.kt.clus.selection.XValMainSelection
- XValRandomSelection - Class in si.ijs.kt.clus.selection
- XValRandomSelection(int, int) - Constructor for class si.ijs.kt.clus.selection.XValRandomSelection
- XValRandomSelection(int, int, Random) - Constructor for class si.ijs.kt.clus.selection.XValRandomSelection
- xvalRun(String, Date) - Method in class si.ijs.kt.clus.ext.optxval.OptXVal
-
Deprecated.
- xvalRun(ClusInductionAlgorithmType) - Method in class si.ijs.kt.clus.Clus
- XValRun() - Method in class si.ijs.kt.clus.addon.sit.Sit
- XValSelection - Class in si.ijs.kt.clus.selection
- XValSelection(XValMainSelection, int) - Constructor for class si.ijs.kt.clus.selection.XValSelection
Y
- YATSXValRun() - Method in class si.ijs.kt.clus.addon.sit.Sit
- Yes - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsEnsemble.EnsembleBootstrapping
- Yes - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsGeneral.ResourceInfoLoad
- Yes - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsMLC.MultiLabelThresholdOptimization
- Yes - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.OptimizationGDAddLinearTerms
-
Add linear terms explicitly.
- Yes - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.OptimizationLinearTermNormalizeValues
-
Normalize linear terms for optimization and leave the normalization to the resulting rule ensemble.
- Yes - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.OptimizationNormalization
-
Normalize during optimization with 2*std dev and shifting with average.
- Yes - Enum constant in enum class si.ijs.kt.clus.main.settings.SettingsBase.YesNo
- YES - Static variable in class si.ijs.kt.clus.algo.tdidt.ClusNode
- YesAndConvert - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.OptimizationLinearTermNormalizeValues
-
Normalize linear terms for optimization, but after optimization convert the linear terms to plain terms without normalization without changing the resulting prediction.
- YESNO - Static variable in class si.ijs.kt.clus.model.io.ClusTreeReader
- YesSaveMemory - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.OptimizationGDAddLinearTerms
-
Use linear terms in optimization, but add them explicitly after optimization (if weight is zero).
- YesVariance - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.OptimizationNormalization
-
Normalize during optimization with variance.
Z
- zero - Variable in class si.ijs.kt.clus.data.rows.RowDataSortHelper
- Zero - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsTree.MissingTargetAttributeHandlingType
-
variance will not be estimated, while mean (i.e., prediction) will be equal to zero
- ZERO - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsHMTR.HierarchyAggregationsHMTR
- ZeroOneError - Enum constant in enum class si.ijs.kt.clus.main.settings.section.SettingsRules.OptimizationLossFunction
-
Optimization Loss function type.
- zipOpen(String) - Method in class si.ijs.kt.clus.data.io.ClusReader
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