Serialized Form

Package si.ijs.kt.clus.addon.hmc.ClusAmandaRules

Class si.ijs.kt.clus.addon.hmc.ClusAmandaRules.AmandaRule

class AmandaRule extends ClusRule implements Serializable

serialVersionUID:

1L

Package si.ijs.kt.clus.addon.ILevelC.ilevelc

Class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI

class ILevelCGUI extends JFrame implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Canvas

ILevelCGUI.ILevelCComponent m_Canvas

m_Chooser

JFileChooser m_Chooser

m_Class

JComboBox m_Class

m_ClassAttr

NominalAttrType m_ClassAttr

m_Closure

JButton m_Closure

m_Combo

JComboBox m_Combo

m_Load

JButton m_Load

m_Save

JButton m_Save

m_Schema

ClusSchema m_Schema

Class si.ijs.kt.clus.addon.ILevelC.ilevelc.ILevelCGUI.ILevelCComponent

class ILevelCComponent extends JComponent implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Constraints

ArrayList m_Constraints

m_FirstIndex

int m_FirstIndex

m_Points

ArrayList m_Points

Package si.ijs.kt.clus.addon.sit

Class si.ijs.kt.clus.addon.sit.TargetSet

class TargetSet extends TreeSet implements Serializable

serialVersionUID:

1L

Package si.ijs.kt.clus.addon.sit.searchAlgorithm

Class si.ijs.kt.clus.addon.sit.searchAlgorithm.SITFitnessFunction

class SITFitnessFunction extends org.jgap.FitnessFunction implements Serializable

serialVersionUID:

-3735192199503306134L

Serialized Fields

candidates

TargetSet candidates

learner

MTLearner learner

mainTarget

ClusAttrType mainTarget

Package si.ijs.kt.clus.algo.kNN

Class si.ijs.kt.clus.algo.kNN.KnnModel

class KnnModel extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_ClusRun

ClusRun m_ClusRun

m_CurrentNeighbours

LinkedList<DataTuple> m_CurrentNeighbours

m_CurrentTuple

DataTuple m_CurrentTuple

m_IsMlcKnn

boolean m_IsMlcKnn

m_K

int m_K

m_Master

KnnModel m_Master

m_MaxK

int m_MaxK

m_Search

SearchAlgorithm m_Search

m_StatTemplate

ClusStatistic m_StatTemplate

m_WeightingOption

SettingsKNN.DistanceWeights m_WeightingOption

Package si.ijs.kt.clus.algo.kNN.distance.attributeWeighting

Class si.ijs.kt.clus.algo.kNN.distance.attributeWeighting.AttributeWeighting

class AttributeWeighting extends Object implements Serializable

serialVersionUID:

1L

Class si.ijs.kt.clus.algo.kNN.distance.attributeWeighting.NoWeighting

class NoWeighting extends AttributeWeighting implements Serializable

serialVersionUID:

1L

Class si.ijs.kt.clus.algo.kNN.distance.attributeWeighting.RandomForestWeighting

class RandomForestWeighting extends AttributeWeighting implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Weights

double[] m_Weights

Class si.ijs.kt.clus.algo.kNN.distance.attributeWeighting.UserDefinedWeighting

class UserDefinedWeighting extends AttributeWeighting implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Weights

double[] m_Weights

Package si.ijs.kt.clus.algo.rules

Class si.ijs.kt.clus.algo.rules.ClusRule

class ClusRule extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_ClusteringStat

ClusStatistic m_ClusteringStat

Clustering statistics of examples covered by the rule.

m_CombStat

CombStat[] m_CombStat

Combined statistics for training and testing data

m_Constraint

ArrayList<ILevelConstraint> m_Constraint

m_Coverage

double[] m_Coverage

Number of examples covered by this rule Index is 0 for train set, 1 for test set

m_CoverageBits

BitSet m_CoverageBits

Bit vector of covered examples

m_CoverageCorrectBits

BitSet m_CoverageCorrectBits

Bit vector of corretly covered examples

m_Data

ArrayList<DataTuple> m_Data

Array of tuples covered by this rule

m_Errors

ClusErrorList[] m_Errors

m_ID

int m_ID

m_OptWeight

double m_OptWeight

Optimized weight of the rule

m_ROSModelInfo

ClusROSModelInfo m_ROSModelInfo

ROS model info

m_StatManager

ClusStatManager m_StatManager

m_TargetStat

ClusStatistic m_TargetStat

Target statistics of examples covered by the rule.

m_Tests

ArrayList<NodeTest> m_Tests

m_TrainErrorScore

double m_TrainErrorScore

Average error score of the rule

m_Visitor

Object m_Visitor

Class si.ijs.kt.clus.algo.rules.ClusRuleLinearTerm

class ClusRuleLinearTerm extends ClusRule implements Serializable

serialVersionUID:

1L

Serialized Fields

m_descriptiveDimForLinearTerm

int m_descriptiveDimForLinearTerm

If the rule is in fact a linear term, this is the index of the term that is used

m_scaleLinearTerm

boolean m_scaleLinearTerm

Is the scaling of linear terms used in all the predictions. If not, used only for undefined predictions. This boolean is needed for moving the scaling and shifting to the weights etc.

m_targetDimForLinearTerm

int m_targetDimForLinearTerm

If the rule is in fact a linear term, this is the target index that is predicted with this

Class si.ijs.kt.clus.algo.rules.ClusRuleSet

class ClusRuleSet extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_allCoveringRuleExists

boolean m_allCoveringRuleExists

If we have created an all examples covering rule that is in the first position of rules Used for weight optimization.

m_Comment

String m_Comment

m_DefaultData

ArrayList m_DefaultData

Array of tuples covered by the default rule.

m_HasRuleErrors

boolean m_HasRuleErrors

m_optWeightBestFitness

double m_optWeightBestFitness

If weights are optimized, what was the fitness of best T value that was used for this rule set

m_optWeightBestTValue

double m_optWeightBestTValue

If weights are optimized, what was the best T value that was used for this rule set

m_Rules

ArrayList<ClusRule> m_Rules

m_StatManager

ClusStatManager m_StatManager

m_TargetStat

ClusStatistic m_TargetStat

Default prediction if no other rule covers the instance.

Package si.ijs.kt.clus.algo.tdidt

Class si.ijs.kt.clus.algo.tdidt.ClusNode

class ClusNode extends MyNode implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Alternatives

NodeTest[] m_Alternatives

m_AlternativesString

String m_AlternativesString

m_AtDepth

int m_AtDepth

m_ClusteringStat

ClusStatistic m_ClusteringStat

m_ID

int m_ID

m_LeafTuples

List<Integer> m_LeafTuples

m_NumSubmodels

int m_NumSubmodels

m_OppositeAlternatives

NodeTest[] m_OppositeAlternatives

m_ROSModelInfo

ClusROSModelInfo m_ROSModelInfo

m_SerializationIndex

int m_SerializationIndex

m_SerializationIndexChildren

ArrayList<Integer> m_SerializationIndexChildren

m_TargetStat

ClusStatistic m_TargetStat

m_Test

NodeTest m_Test

m_Time

long m_Time

m_UniqueNodeIdentifier

UniqueNodeIdentifier m_UniqueNodeIdentifier

Package si.ijs.kt.clus.data

Class si.ijs.kt.clus.data.ClusSchema

class ClusSchema extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_AllAttrUse

ClusAttrType[][] m_AllAttrUse

m_Attr

ArrayList<ClusAttrType> m_Attr

m_Clustering

IntervalCollection m_Clustering

m_Descriptive

IntervalCollection m_Descriptive

m_Disabled

IntervalCollection m_Disabled

m_GIS

IntervalCollection m_GIS

m_HMTRHierarchy

ClusHMTRHierarchy m_HMTRHierarchy

m_IsSparse

boolean m_IsSparse

m_Key

IntervalCollection m_Key

m_NbAttrs

int m_NbAttrs

m_NbDoubles

int m_NbDoubles

m_NbHMTRAttributes

int m_NbHMTRAttributes

m_NbInts

int m_NbInts

m_NbObjects

int m_NbObjects

m_NbVt

int[] m_NbVt

m_NominalAttrUse

NominalAttrType[][] m_NominalAttrUse

m_NonSparse

ClusAttrType[] m_NonSparse

m_NumericAttrUse

NumericAttrType[][] m_NumericAttrUse

m_Relation

String m_Relation

m_Settings

Settings m_Settings

m_Target

IntervalCollection m_Target

m_TimeSeriesAttrUse

TimeSeriesAttrType[][] m_TimeSeriesAttrUse

m_TSAttr

IndexAttrType m_TSAttr

Package si.ijs.kt.clus.data.attweights

Class si.ijs.kt.clus.data.attweights.ClusAttributeWeights

class ClusAttributeWeights extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_ROSModelInfo

ClusROSModelInfo m_ROSModelInfo

m_Weights

double[] m_Weights

Class si.ijs.kt.clus.data.attweights.ClusNormalizedAttributeWeights

class ClusNormalizedAttributeWeights extends ClusAttributeWeights implements Serializable

serialVersionUID:

1L

Serialized Fields

m_NormalizationWeights

double[] m_NormalizationWeights

Package si.ijs.kt.clus.data.rows

Class si.ijs.kt.clus.data.rows.DataTuple

class DataTuple extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_DatasetIndex

int m_DatasetIndex

0-based index of the tuple in the dataset the tuple is part of.

m_Doubles

double[] m_Doubles

Numeric attributes of the tuple.

m_Folds

int[] m_Folds

Hack for efficient xval, should be replaced later.

m_Index

int m_Index

Unknown

m_Ints

int[] m_Ints

Nominal attributes of the tuple.

m_IsTest

boolean m_IsTest

Tells whether the dataset that the tuple belongs to is test set.

m_IsTrain

boolean m_IsTrain

Tells whether the dataset that the tuple belongs to is training set.

m_Objects

Object[] m_Objects

Structured attributes of the tuple.

m_Schema

ClusSchema m_Schema

m_Weight

double m_Weight

Weight of the tuple.

Class si.ijs.kt.clus.data.rows.RowData

class RowData extends ClusData implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Data

DataTuple[] m_Data

m_Index

int m_Index

m_Schema

ClusSchema m_Schema

m_SortedInstances

HashMap<NumericAttrType,Integer[]> m_SortedInstances

The keys are non-sparse numeric attributes that have had to be sorted, and the values are tuple indices, sorted with respect to the key.

Class si.ijs.kt.clus.data.rows.SparseDataTuple

class SparseDataTuple extends DataTuple implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Map

HashMap<Integer,Double> m_Map

Package si.ijs.kt.clus.data.type

Class si.ijs.kt.clus.data.type.BitwiseNominalAttrType

class BitwiseNominalAttrType extends NominalAttrType implements Serializable

serialVersionUID:

1L

Serialized Fields

m_BitMask

int m_BitMask

m_BitPosition

int m_BitPosition

m_Bits

int m_Bits

Class si.ijs.kt.clus.data.type.ClusAttrType

class ClusAttrType extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

dist

BasicDistance dist

innerTypes

ClusAttrType[] innerTypes

m_ArrayIndex

int m_ArrayIndex

m_DatasetIndex

int m_DatasetIndex

m_Index

int m_Index

m_IsClustering

boolean m_IsClustering

m_IsDescriptive

boolean m_IsDescriptive

m_Name

String m_Name

m_NbMissing

int m_NbMissing

m_Schema

ClusSchema m_Schema

m_Status

ClusAttrType.Status m_Status

typeDefinition

String typeDefinition

Package si.ijs.kt.clus.data.type.complex

Class si.ijs.kt.clus.data.type.complex.SetAttrType

class SetAttrType extends ClusAttrType implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Length

int m_Length

numberOfPossibleValues

int numberOfPossibleValues

typeDefinition

String typeDefinition

Class si.ijs.kt.clus.data.type.complex.TupleAttrType

class TupleAttrType extends ClusAttrType implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Length

int m_Length

Package si.ijs.kt.clus.data.type.hierarchies

Class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrType

class ClassesAttrType extends ClusAttrType implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Hier

ClassHierarchy m_Hier

Class si.ijs.kt.clus.data.type.hierarchies.ClassesAttrTypeSingleLabel

class ClassesAttrTypeSingleLabel extends ClassesAttrType implements Serializable

serialVersionUID:

1L

Class si.ijs.kt.clus.data.type.hierarchies.FlatClassesAttrType

class FlatClassesAttrType extends ClassesAttrType implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Mimic

ClassesAttrType m_Mimic

Package si.ijs.kt.clus.data.type.primitive

Class si.ijs.kt.clus.data.type.primitive.IndexAttrType

class IndexAttrType extends ClusAttrType implements Serializable

serialVersionUID:

1L

Serialized Fields

m_CrValue

int m_CrValue

m_Index

int[] m_Index

m_Max

int m_Max

m_Min

int m_Min

Class si.ijs.kt.clus.data.type.primitive.IntegerAttrType

class IntegerAttrType extends ClusAttrType implements Serializable

serialVersionUID:

1L

Class si.ijs.kt.clus.data.type.primitive.NominalAttrType

class NominalAttrType extends ClusAttrType implements Serializable

serialVersionUID:

1L

Serialized Fields

m_NbValues

int m_NbValues

Number of possible values for nominal type.

m_StatNominal

NominalStatistic m_StatNominal

m_Values

String[] m_Values

Class si.ijs.kt.clus.data.type.primitive.NumericAttrType

class NumericAttrType extends ClusAttrType implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Sparse

boolean m_Sparse

m_StatNumeric

NumericStatistic m_StatNumeric

Class si.ijs.kt.clus.data.type.primitive.SparseNumericAttrType

class SparseNumericAttrType extends NumericAttrType implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Examples

ArrayList<SparseDataTuple> m_Examples

m_ExampleWeight

double m_ExampleWeight

m_IntIndex

Integer m_IntIndex

Class si.ijs.kt.clus.data.type.primitive.StringAttrType

class StringAttrType extends ClusAttrType implements Serializable

serialVersionUID:

1L

Class si.ijs.kt.clus.data.type.primitive.TimeSeriesAttrType

class TimeSeriesAttrType extends ClusAttrType implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Length

int m_Length

Package si.ijs.kt.clus.distance

Class si.ijs.kt.clus.distance.ClusDistance

class ClusDistance extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Attributes

ClusAttrType[] m_Attributes

Attribute indices that must be included in distance computations: typically, all descriptive attributes, or nominal descriptive attributes (for sparse data).

m_AttrWeighting

AttributeWeighting m_AttrWeighting

m_IsSparse

boolean m_IsSparse

Package si.ijs.kt.clus.distance.complex

Class si.ijs.kt.clus.distance.complex.ClusStructuredDistance

class ClusStructuredDistance extends ClusDistance implements Serializable

serialVersionUID:

1L

Serialized Fields

m_ChildDistances

ClusDistance[] m_ChildDistances

Class si.ijs.kt.clus.distance.complex.SetDistance

class SetDistance extends ClusStructuredDistance implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Attr

SetAttrType m_Attr

Class si.ijs.kt.clus.distance.complex.TupleDistance

class TupleDistance extends ClusStructuredDistance implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Attr

TupleAttrType m_Attr

Package si.ijs.kt.clus.distance.complex.sets

Class si.ijs.kt.clus.distance.complex.sets.EuclideanDistance

class EuclideanDistance extends SetDistance implements Serializable

serialVersionUID:

1L

Class si.ijs.kt.clus.distance.complex.sets.GSMDistance

class GSMDistance extends SetDistance implements Serializable

serialVersionUID:

1L

Serialized Fields

maximal_possible_distance

int maximal_possible_distance

Class si.ijs.kt.clus.distance.complex.sets.GSMDistanceBitVector

class GSMDistanceBitVector extends SetDistance implements Serializable

serialVersionUID:

1L

Serialized Fields

maximal_possible_distance

int maximal_possible_distance

Class si.ijs.kt.clus.distance.complex.sets.HammingLossDistance

class HammingLossDistance extends SetDistance implements Serializable

serialVersionUID:

1L

Serialized Fields

numberOfTotalPossibleValues

int numberOfTotalPossibleValues

Class si.ijs.kt.clus.distance.complex.sets.JaccardDistance

class JaccardDistance extends SetDistance implements Serializable

serialVersionUID:

1L

Package si.ijs.kt.clus.distance.complex.tuples

Class si.ijs.kt.clus.distance.complex.tuples.EuclideanDistance

class EuclideanDistance extends TupleDistance implements Serializable

serialVersionUID:

1L

Class si.ijs.kt.clus.distance.complex.tuples.MinkowskiDistance

class MinkowskiDistance extends TupleDistance implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Order

int m_Order

Class si.ijs.kt.clus.distance.complex.tuples.SSPDMatrix

class SSPDMatrix extends ClusDistance implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Matrix

MSymMatrix m_Matrix

m_Target

IntegerAttrType m_Target

Package si.ijs.kt.clus.distance.hierarchies

Class si.ijs.kt.clus.distance.hierarchies.HierJaccardDistance

class HierJaccardDistance extends ClusDistance implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Attr

ClassesAttrType m_Attr

Package si.ijs.kt.clus.distance.primitive

Class si.ijs.kt.clus.distance.primitive.ChebyshevDistance

class ChebyshevDistance extends ClusDistance implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Search

SearchDistance m_Search

Class si.ijs.kt.clus.distance.primitive.EuclideanDistance

class EuclideanDistance extends ClusDistance implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Search

SearchDistance m_Search

Class si.ijs.kt.clus.distance.primitive.ManhattanDistance

class ManhattanDistance extends ClusDistance implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Search

SearchDistance m_Search

Class si.ijs.kt.clus.distance.primitive.SearchDistance

class SearchDistance extends ClusDistance implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Distance

ClusDistance m_Distance

m_MinValues

double[] m_MinValues

m_NormalizationWeights

double[] m_NormalizationWeights

Package si.ijs.kt.clus.distance.primitive.nominal

Class si.ijs.kt.clus.distance.primitive.nominal.NominalDistance

class NominalDistance extends ClusDistance implements Serializable

serialVersionUID:

1L

Package si.ijs.kt.clus.distance.primitive.timeseries

Class si.ijs.kt.clus.distance.primitive.timeseries.DTWTimeSeriesDist

class DTWTimeSeriesDist extends TimeSeriesDist implements Serializable

serialVersionUID:

1L

Class si.ijs.kt.clus.distance.primitive.timeseries.QDMTimeSeriesDist

class QDMTimeSeriesDist extends TimeSeriesDist implements Serializable

serialVersionUID:

1L

Class si.ijs.kt.clus.distance.primitive.timeseries.TimeSeriesDist

class TimeSeriesDist extends ClusDistance implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Attr

TimeSeriesAttrType m_Attr

Class si.ijs.kt.clus.distance.primitive.timeseries.TSCTimeSeriesDist

class TSCTimeSeriesDist extends TimeSeriesDist implements Serializable

serialVersionUID:

1L

Package si.ijs.kt.clus.error

Class si.ijs.kt.clus.error.AbsoluteError

class AbsoluteError extends ClusNumericError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_AbsDefError

double[] m_AbsDefError

m_AbsError

double[] m_AbsError

Class si.ijs.kt.clus.error.Accuracy

class Accuracy extends ClusNominalError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_NbCorrect

int[] m_NbCorrect

m_NbKnown

int[] m_NbKnown

Class si.ijs.kt.clus.error.AvgDistancesError

class AvgDistancesError extends ClusError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Distance

ClusDistance m_Distance

m_SumErr

double m_SumErr

Class si.ijs.kt.clus.error.BinaryPredictionList

class BinaryPredictionList extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_NbNeg

int m_NbNeg

The number of negative examples seen

m_NbPos

int m_NbPos

The number of positive examples seen

Class si.ijs.kt.clus.error.ClusSumError

class ClusSumError extends ClusError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Errors

ArrayList<ClusError> m_Errors

Class si.ijs.kt.clus.error.ContingencyTable

class ContingencyTable extends ClusNominalError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_ContTable

int[][][] m_ContTable

Class si.ijs.kt.clus.error.ICVPairwiseDistancesError

class ICVPairwiseDistancesError extends ClusError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Dist

ClusDistance m_Dist

m_Value

double m_Value

m_ValueWithDefault

double m_ValueWithDefault

Class si.ijs.kt.clus.error.MisclassificationError

class MisclassificationError extends Accuracy implements Serializable

serialVersionUID:

1L

Class si.ijs.kt.clus.error.MSError

class MSError extends ClusNumericError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_nbEx

int[] m_nbEx

m_PrintAllComps

boolean m_PrintAllComps

m_SumErr

double[] m_SumErr

m_SumSqErr

double[] m_SumSqErr

m_SumSquaredTrueValues

double[] m_SumSquaredTrueValues

m_SumTrueValues

double[] m_SumTrueValues

m_Weights

ClusAttributeWeights m_Weights

Class si.ijs.kt.clus.error.MSNominalError

class MSNominalError extends ClusNominalError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_PrintAllComps

boolean m_PrintAllComps

m_SumErr

double[] m_SumErr

m_SumSqErr

double[] m_SumSqErr

m_Weights

ClusAttributeWeights m_Weights

Class si.ijs.kt.clus.error.NominalCorrelation

class NominalCorrelation extends ClusNominalError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_ContTable

int[][] m_ContTable

Class si.ijs.kt.clus.error.PearsonCorrelation

class PearsonCorrelation extends ClusNumericError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_NbLabeledEx

int[] m_NbLabeledEx

m_SumAi

double[] m_SumAi

m_SumPi

double[] m_SumPi

m_SumPiAi

double[] m_SumPiAi

m_SumSAi

double[] m_SumSAi

m_SumSPi

double[] m_SumSPi

Class si.ijs.kt.clus.error.RelativeError

class RelativeError extends ClusNumericError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_SumRelErr

double[] m_SumRelErr

Class si.ijs.kt.clus.error.RMSError

class RMSError extends MSError implements Serializable

serialVersionUID:

1L

Class si.ijs.kt.clus.error.ROCAndPRCurve

class ROCAndPRCurve extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_AreaPR

double m_AreaPR

m_AreaROC

double m_AreaROC

m_Thresholds

double[] m_Thresholds

Class si.ijs.kt.clus.error.RRMSError

class RRMSError extends MSError implements Serializable

serialVersionUID:

1L

Class si.ijs.kt.clus.error.SpearmanRankCorrelation

class SpearmanRankCorrelation extends ClusNumericError implements Serializable

Serialized Fields

m_Correlations

double[] m_Correlations

m_CorrelationsUpToDate

boolean m_CorrelationsUpToDate

m_Predictions

ArrayList<ArrayList<Double>> m_Predictions

m_TrueValues

ArrayList<ArrayList<Double>> m_TrueValues

Class si.ijs.kt.clus.error.SpearmanRankCorrelationPerExample

class SpearmanRankCorrelationPerExample extends ClusNumericError implements Serializable

serialVersionUID:

1L

Serialized Fields

RankCorrelations

ArrayList<Double> RankCorrelations

Class si.ijs.kt.clus.error.WAHNDError

class WAHNDError extends ClusError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_SumWeight

double m_SumWeight

m_TreeErr

double m_TreeErr

m_Weight

double m_Weight

Package si.ijs.kt.clus.error.common

Class si.ijs.kt.clus.error.common.ClusError

class ClusError extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

additionalInfo

String additionalInfo

m_Dim

int m_Dim

Number of dimensions to compute the error for

m_Parent

ClusErrorList m_Parent

Class si.ijs.kt.clus.error.common.ClusErrorList

class ClusErrorList extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Error

ArrayList<ClusError> m_Error

m_ErrorNameMap

HashMap<String,Integer> m_ErrorNameMap

m_ErrorWithNulls

ArrayList<ClusError> m_ErrorWithNulls

m_NbCover

int m_NbCover

m_NbExamples

int m_NbExamples

m_NbTotal

int m_NbTotal

Class si.ijs.kt.clus.error.common.ClusNominalError

class ClusNominalError extends ClusError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Attrs

NominalAttrType[] m_Attrs

m_Default

int[] m_Default

Class si.ijs.kt.clus.error.common.ClusNumericError

class ClusNumericError extends ClusError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Attrs

NumericAttrType[] m_Attrs

Class si.ijs.kt.clus.error.common.ClusSetError

class ClusSetError extends ClusError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Attrs

SetAttrType[] m_Attrs

Package si.ijs.kt.clus.error.common.multiscore

Class si.ijs.kt.clus.error.common.multiscore.MultiScoreStat

class MultiScoreStat extends ClusStatistic implements Serializable

serialVersionUID:

1L

Serialized Fields

m_MeanValues

double[] m_MeanValues

m_NbTarget

int m_NbTarget

m_Score

int[] m_Score

Class si.ijs.kt.clus.error.common.multiscore.MultiScoreWrapper

class MultiScoreWrapper extends ClusNumericError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Child

ClusNominalError m_Child

m_Pred

int[] m_Pred

m_Real

byte[] m_Real

Package si.ijs.kt.clus.error.hmlc

Class si.ijs.kt.clus.error.hmlc.HierClassWiseAccuracy

class HierClassWiseAccuracy extends ClusError implements Serializable

serialVersionUID:

1L

Serialized Fields

hierarchyIndex

int hierarchyIndex

m_EvalClass

boolean[] m_EvalClass

m_Hier

ClassHierarchy m_Hier

m_NbPosActual

double[] m_NbPosActual

m_NbPosPredictions

double[] m_NbPosPredictions

m_NoTrivialClasses

boolean m_NoTrivialClasses

m_TP

double[] m_TP

Class si.ijs.kt.clus.error.hmlc.HierErrorMeasures

class HierErrorMeasures extends ClusError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_AverageAUPRC

double m_AverageAUPRC

m_AverageAUROC

double m_AverageAUROC

m_AvgPrecisionAtRecall

double[] m_AvgPrecisionAtRecall

m_ClassWisePredictions

BinaryPredictionList[] m_ClassWisePredictions

m_EvalClass

boolean[] m_EvalClass

m_Hier

ClassHierarchy m_Hier

m_IsGzipOutput

boolean m_IsGzipOutput

m_OptimizeMeasure

SettingsHMLC.HierarchyMeasures m_OptimizeMeasure

m_PooledAUPRC

double m_PooledAUPRC

m_RecallValues

double[] m_RecallValues

m_ROCAndPRCurves

ROCAndPRCurve[] m_ROCAndPRCurves

m_WAvgAUPRC

double m_WAvgAUPRC

m_WriteCurves

boolean m_WriteCurves

Class si.ijs.kt.clus.error.hmlc.HierLevelAccuracy

class HierLevelAccuracy extends ClusError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_ActualArr

boolean[] m_ActualArr

m_Correct

double m_Correct

m_CorrectLevel

double[] m_CorrectLevel

m_CountLevel

double[] m_CountLevel

m_Hier

ClassHierarchy m_Hier

m_MaxDepth

int m_MaxDepth

m_Predicted

double m_Predicted

m_PredLevelErr

boolean[] m_PredLevelErr

Class si.ijs.kt.clus.error.hmlc.HierRMSError

class HierRMSError extends MSError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_ContPred

boolean m_ContPred

m_Hier

ClassHierarchy m_Hier

m_Root

boolean m_Root

m_Scratch

double[] m_Scratch

Package si.ijs.kt.clus.error.mlc

Class si.ijs.kt.clus.error.mlc.AveragePrecision

class AveragePrecision extends ClusNominalError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_NbKnown

int m_NbKnown

m_NonnormalisedPrec

double m_NonnormalisedPrec

Class si.ijs.kt.clus.error.mlc.Coverage

class Coverage extends ClusNominalError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_NbKnown

int m_NbKnown

m_NbRelevantLabels

int m_NbRelevantLabels

m_RankSum

int m_RankSum

Class si.ijs.kt.clus.error.mlc.HammingLoss

class HammingLoss extends ClusNominalError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_NbKnown

int m_NbKnown

m_NbWrong

int m_NbWrong

Class si.ijs.kt.clus.error.mlc.MacroFOne

class MacroFOne extends ClusNominalError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_NbFalseNegatives

int[] m_NbFalseNegatives

m_NbFalsePositives

int[] m_NbFalsePositives

m_NbTruePositives

int[] m_NbTruePositives

Class si.ijs.kt.clus.error.mlc.MacroPrecision

class MacroPrecision extends ClusNominalError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_NbFalsePositives

int[] m_NbFalsePositives

m_NbTruePositives

int[] m_NbTruePositives

Class si.ijs.kt.clus.error.mlc.MacroRecall

class MacroRecall extends ClusNominalError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_NbFalseNegatives

int[] m_NbFalseNegatives

m_NbTruePositives

int[] m_NbTruePositives

Class si.ijs.kt.clus.error.mlc.MicroFOne

class MicroFOne extends ClusNominalError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_NbFalseNegatives

int[] m_NbFalseNegatives

m_NbFalsePositives

int[] m_NbFalsePositives

m_NbTruePositives

int[] m_NbTruePositives

Class si.ijs.kt.clus.error.mlc.MicroPrecision

class MicroPrecision extends ClusNominalError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_NbFalsePositives

int[] m_NbFalsePositives

m_NbTruePositives

int[] m_NbTruePositives

Class si.ijs.kt.clus.error.mlc.MicroRecall

class MicroRecall extends ClusNominalError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_NbFalseNegatives

int[] m_NbFalseNegatives

m_NbTruePositives

int[] m_NbTruePositives

Class si.ijs.kt.clus.error.mlc.MLAccuracy

class MLAccuracy extends ClusNominalError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_JaccardSum

double m_JaccardSum

m_NbKnown

int m_NbKnown

Class si.ijs.kt.clus.error.mlc.MLaverageAUPRC

class MLaverageAUPRC extends MLROCAndPRCurve implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Measure

int m_Measure

Class si.ijs.kt.clus.error.mlc.MLaverageAUROC

class MLaverageAUROC extends MLROCAndPRCurve implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Measure

int m_Measure

Class si.ijs.kt.clus.error.mlc.MLFOneMeasure

class MLFOneMeasure extends ClusNominalError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_F1Sum

double m_F1Sum

m_NbKnown

int m_NbKnown

Class si.ijs.kt.clus.error.mlc.MLpooledAUPRC

class MLpooledAUPRC extends MLROCAndPRCurve implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Measure

int m_Measure

Class si.ijs.kt.clus.error.mlc.MLPrecision

class MLPrecision extends ClusNominalError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_NbKnown

int m_NbKnown

m_PrecisionSum

double m_PrecisionSum

Class si.ijs.kt.clus.error.mlc.MLRecall

class MLRecall extends ClusNominalError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_NbKnown

int m_NbKnown

m_RecallSum

double m_RecallSum

Class si.ijs.kt.clus.error.mlc.MLROCAndPRCurve

class MLROCAndPRCurve extends ClusNominalError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_AreaPR

double m_AreaPR

m_AreaROC

double m_AreaROC

m_AverageAUPRC

double m_AverageAUPRC

m_AverageAUROC

double m_AverageAUROC

m_ClassWisePredictions

BinaryPredictionList[] m_ClassWisePredictions

m_PooledAUPRC

double m_PooledAUPRC

m_ROCAndPRCurves

ROCAndPRCurve[] m_ROCAndPRCurves

m_Thresholds

double[] m_Thresholds

m_WAvgAUPRC

double m_WAvgAUPRC

Class si.ijs.kt.clus.error.mlc.MLweightedAUPRC

class MLweightedAUPRC extends MLROCAndPRCurve implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Measure

int m_Measure

Class si.ijs.kt.clus.error.mlc.OneError

class OneError extends ClusNominalError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_NbKnown

int m_NbKnown

m_NbWrong

int m_NbWrong

Class si.ijs.kt.clus.error.mlc.RankingLoss

class RankingLoss extends ClusNominalError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_NbKnown

int m_NbKnown

m_NonnormalisedLoss

double m_NonnormalisedLoss

Class si.ijs.kt.clus.error.mlc.SubsetAccuracy

class SubsetAccuracy extends ClusNominalError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_NbCorrect

int m_NbCorrect

m_NbKnown

int m_NbKnown

Package si.ijs.kt.clus.error.mlcForHmlc

Class si.ijs.kt.clus.error.mlcForHmlc.AveragePrecision

class AveragePrecision extends Object implements Serializable

Serialized Fields

m_NbKnown

int m_NbKnown

m_NonnormalisedPrec

double m_NonnormalisedPrec

Class si.ijs.kt.clus.error.mlcForHmlc.Coverage

class Coverage extends Object implements Serializable

Serialized Fields

m_NbKnown

int m_NbKnown

m_NbRelevantLabels

int m_NbRelevantLabels

m_RankSum

int m_RankSum

Class si.ijs.kt.clus.error.mlcForHmlc.HammingLoss

class HammingLoss extends Object implements Serializable

Serialized Fields

m_NbKnown

int m_NbKnown

m_NbWrong

int m_NbWrong

Class si.ijs.kt.clus.error.mlcForHmlc.MacroFOne

class MacroFOne extends Object implements Serializable

Serialized Fields

m_NbFalseNegatives

int[] m_NbFalseNegatives

m_NbFalsePositives

int[] m_NbFalsePositives

m_NbTruePositives

int[] m_NbTruePositives

Class si.ijs.kt.clus.error.mlcForHmlc.MacroPrecision

class MacroPrecision extends Object implements Serializable

Serialized Fields

m_NbFalsePositives

int[] m_NbFalsePositives

m_NbTruePositives

int[] m_NbTruePositives

Class si.ijs.kt.clus.error.mlcForHmlc.MacroRecall

class MacroRecall extends Object implements Serializable

Serialized Fields

m_NbFalseNegatives

int[] m_NbFalseNegatives

m_NbTruePositives

int[] m_NbTruePositives

Class si.ijs.kt.clus.error.mlcForHmlc.MicroFOne

class MicroFOne extends Object implements Serializable

Serialized Fields

m_NbFalseNegatives

int[] m_NbFalseNegatives

m_NbFalsePositives

int[] m_NbFalsePositives

m_NbTruePositives

int[] m_NbTruePositives

Class si.ijs.kt.clus.error.mlcForHmlc.MicroPrecision

class MicroPrecision extends Object implements Serializable

Serialized Fields

m_NbFalsePositives

int[] m_NbFalsePositives

m_NbTruePositives

int[] m_NbTruePositives

Class si.ijs.kt.clus.error.mlcForHmlc.MicroRecall

class MicroRecall extends Object implements Serializable

Serialized Fields

m_NbFalseNegatives

int[] m_NbFalseNegatives

m_NbTruePositives

int[] m_NbTruePositives

Class si.ijs.kt.clus.error.mlcForHmlc.MLAccuracy

class MLAccuracy extends Object implements Serializable

Serialized Fields

m_JaccardSum

double m_JaccardSum

m_NbKnown

int m_NbKnown

Class si.ijs.kt.clus.error.mlcForHmlc.MLaverageAUPRC

class MLaverageAUPRC extends MLROCAndPRCurve implements Serializable

Serialized Fields

m_Measure

MLROCAndPRCurve.CurveType m_Measure

Class si.ijs.kt.clus.error.mlcForHmlc.MLaverageAUROC

class MLaverageAUROC extends MLROCAndPRCurve implements Serializable

Serialized Fields

m_Measure

MLROCAndPRCurve.CurveType m_Measure

Class si.ijs.kt.clus.error.mlcForHmlc.MlcMeasuresForHmlc

class MlcMeasuresForHmlc extends ClusError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_ComputedErrors

double[] m_ComputedErrors

m_DimEval

int m_DimEval

m_EvalClass

boolean[] m_EvalClass

m_Hier

ClassHierarchy m_Hier

m_SubErrors

ArrayList<MlcHmlcSubError> m_SubErrors

Class si.ijs.kt.clus.error.mlcForHmlc.MLFOneMeasure

class MLFOneMeasure extends Object implements Serializable

Serialized Fields

m_F1Sum

double m_F1Sum

m_NbKnown

int m_NbKnown

Class si.ijs.kt.clus.error.mlcForHmlc.MLpooledAUPRC

class MLpooledAUPRC extends MLROCAndPRCurve implements Serializable

Serialized Fields

m_Measure

MLROCAndPRCurve.CurveType m_Measure

Class si.ijs.kt.clus.error.mlcForHmlc.MLPrecision

class MLPrecision extends Object implements Serializable

Serialized Fields

m_NbKnown

int m_NbKnown

m_PrecisionSum

double m_PrecisionSum

Class si.ijs.kt.clus.error.mlcForHmlc.MLRecall

class MLRecall extends Object implements Serializable

Serialized Fields

m_NbKnown

int m_NbKnown

m_RecallSum

double m_RecallSum

Class si.ijs.kt.clus.error.mlcForHmlc.MLROCAndPRCurve

class MLROCAndPRCurve extends Object implements Serializable

Serialized Fields

m_AreaPR

double m_AreaPR

m_AreaROC

double m_AreaROC

m_AverageAUPRC

double m_AverageAUPRC

m_AverageAUROC

double m_AverageAUROC

m_ClassWisePredictions

BinaryPredictionList[] m_ClassWisePredictions

m_PooledAUPRC

double m_PooledAUPRC

m_ROCAndPRCurves

ROCAndPRCurve[] m_ROCAndPRCurves

m_Thresholds

double[] m_Thresholds

m_WAvgAUPRC

double m_WAvgAUPRC

Class si.ijs.kt.clus.error.mlcForHmlc.MLweightedAUPRC

class MLweightedAUPRC extends MLROCAndPRCurve implements Serializable

Serialized Fields

m_Measure

MLROCAndPRCurve.CurveType m_Measure

Class si.ijs.kt.clus.error.mlcForHmlc.OneError

class OneError extends Object implements Serializable

Serialized Fields

m_NbKnown

int m_NbKnown

m_NbWrong

int m_NbWrong

Class si.ijs.kt.clus.error.mlcForHmlc.RankingLoss

class RankingLoss extends Object implements Serializable

Serialized Fields

m_NbKnown

int m_NbKnown

m_NonnormalisedLoss

double m_NonnormalisedLoss

Class si.ijs.kt.clus.error.mlcForHmlc.SubsetAccuracy

class SubsetAccuracy extends Object implements Serializable

Serialized Fields

m_NbCorrect

int m_NbCorrect

m_NbKnown

int m_NbKnown

Package si.ijs.kt.clus.error.sets

Class si.ijs.kt.clus.error.sets.Accuracy

class Accuracy extends ClusSetError implements Serializable

serialVersionUID:

1L

Serialized Fields

innerDistance

ClusDistance innerDistance

m_nbEx

int[] m_nbEx

m_PrintAllComps

boolean m_PrintAllComps

m_SumErr

double[] m_SumErr

m_SumSqErr

double[] m_SumSqErr

m_Weights

ClusAttributeWeights m_Weights

Class si.ijs.kt.clus.error.sets.F1Score

class F1Score extends ClusSetError implements Serializable

serialVersionUID:

1L

Serialized Fields

innerDistance

ClusDistance innerDistance

m_nbEx

int[] m_nbEx

m_PrintAllComps

boolean m_PrintAllComps

m_SumErr

double[] m_SumErr

m_SumSqErr

double[] m_SumSqErr

m_Weights

ClusAttributeWeights m_Weights

Class si.ijs.kt.clus.error.sets.HammingLossError

class HammingLossError extends ClusSetError implements Serializable

serialVersionUID:

1L

Serialized Fields

innerDistance

ClusDistance innerDistance

m_nbEx

int[] m_nbEx

m_PrintAllComps

boolean m_PrintAllComps

m_SumErr

double[] m_SumErr

m_SumSqErr

double[] m_SumSqErr

m_Weights

ClusAttributeWeights m_Weights

numberOfTotalPossibleValues

int numberOfTotalPossibleValues

Class si.ijs.kt.clus.error.sets.Precision

class Precision extends ClusSetError implements Serializable

serialVersionUID:

1L

Serialized Fields

innerDistance

ClusDistance innerDistance

m_nbEx

int[] m_nbEx

m_PrintAllComps

boolean m_PrintAllComps

m_SumErr

double[] m_SumErr

m_SumSqErr

double[] m_SumSqErr

m_Weights

ClusAttributeWeights m_Weights

Class si.ijs.kt.clus.error.sets.Recall

class Recall extends ClusSetError implements Serializable

serialVersionUID:

1L

Serialized Fields

innerDistance

ClusDistance innerDistance

m_nbEx

int[] m_nbEx

m_PrintAllComps

boolean m_PrintAllComps

m_SumErr

double[] m_SumErr

m_SumSqErr

double[] m_SumSqErr

m_Weights

ClusAttributeWeights m_Weights

Class si.ijs.kt.clus.error.sets.SubsetAccuracy

class SubsetAccuracy extends ClusSetError implements Serializable

serialVersionUID:

1L

Serialized Fields

innerDistance

ClusDistance innerDistance

m_nbEx

int[] m_nbEx

m_PrintAllComps

boolean m_PrintAllComps

m_SumErr

double[] m_SumErr

m_SumSqErr

double[] m_SumSqErr

m_Weights

ClusAttributeWeights m_Weights

Package si.ijs.kt.clus.ext.beamsearch

Class si.ijs.kt.clus.ext.beamsearch.ClusBeamModel

class ClusBeamModel extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_DistanceToBeam

double m_DistanceToBeam

m_Finished

boolean m_Finished

m_ParentIndex

int m_ParentIndex

m_Predictions

ArrayList<ClusStatistic> m_Predictions

m_Refined

boolean m_Refined

m_Refinement

Object m_Refinement

m_Root

ClusModel m_Root

m_Value

double m_Value

Class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimClassStat

class ClusBeamSimClassStat extends ClassificationStat implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Beam

ClusBeam m_Beam

m_SumPredictions

double[][] m_SumPredictions

m_SumSqPredictions

double[][] m_SumSqPredictions

Class si.ijs.kt.clus.ext.beamsearch.ClusBeamSimRegrStat

class ClusBeamSimRegrStat extends RegressionStat implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Beam

ClusBeam m_Beam

m_SumPredictions

double[] m_SumPredictions

m_SumSqPredictions

double[] m_SumSqPredictions

Package si.ijs.kt.clus.ext.ensemble

Class si.ijs.kt.clus.ext.ensemble.ClusBoostingForest

class ClusBoostingForest extends ClusForest implements Serializable

serialVersionUID:

1L

Serialized Fields

m_BetaI

ArrayList<Double> m_BetaI

Class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptClassification

class ClusEnsembleInduceOptClassification extends ClusEnsembleInduceOptimization implements Serializable

serialVersionUID:

1L

Serialized Fields

m_AvgPredictions

double[][][] m_AvgPredictions

Class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptimization

class ClusEnsembleInduceOptimization extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_AvgPredictionsLock

ClusReadWriteLock m_AvgPredictionsLock

m_EnsembleROSInfo

ClusEnsembleROSInfo m_EnsembleROSInfo

For ROS ensembles

m_NbUpdates

int m_NbUpdates

The number of updates of predictions. In any moment, this should equal the number models, used to update the predictions.

m_NbUpdatesLock

ClusReadWriteLock m_NbUpdatesLock

m_Settings

Settings m_Settings

m_TuplePositions

HashMap<DataTuple,Integer> m_TuplePositions

The keys are (hashes of) DataTuples, which are mapped to the position of the tuple in the predictions

Class si.ijs.kt.clus.ext.ensemble.ClusEnsembleInduceOptRegHMLC

class ClusEnsembleInduceOptRegHMLC extends ClusEnsembleInduceOptimization implements Serializable

serialVersionUID:

1L

Serialized Fields

m_AvgPredictions

double[][] m_AvgPredictions

Class si.ijs.kt.clus.ext.ensemble.ClusForest

class ClusForest extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_AppName

String m_AppName

m_DescriptiveIndex

HashMap<String,Integer> m_DescriptiveIndex

m_Mode

int m_Mode

m_modelInfo

String m_modelInfo

// FIXME: A little hack to manipulate model info from outside, this should be implemented otherwise (e.g., ClusModel for Self-training which wraps around this model)

m_NbLeaves

int m_NbLeaves

The sum of leaves over the trees in the forest

m_NbLeavesLock

ClusReadWriteLock m_NbLeavesLock

m_NbModelsLock

ClusReadWriteLock m_NbModelsLock

m_NbNodes

int m_NbNodes

The sum of nodes over the trees in the forest

m_NbNodesLock

ClusReadWriteLock m_NbNodesLock

m_OOBWeights

ClusOOBWeights m_OOBWeights

Out-of-bag error estimates for all ensemble members

m_Optimization

ClusEnsembleInduceOptimization m_Optimization

m_PrintModels

boolean m_PrintModels

m_Proximities

HashMap<Integer,Double> m_Proximities

To store random forest proximities, used in self-training

m_ROSForestInfo

ClusROSForestInfo m_ROSForestInfo

ROS ensembles (info about target subspaces)

m_Settings

Settings m_Settings

m_Stat

ClusStatistic m_Stat

m_StatManager

ClusStatManager m_StatManager

m_SumDepths

int m_SumDepths

The sum of depths over the trees in the forest

m_SumDepthsLock

ClusReadWriteLock m_SumDepthsLock

m_TreeIndices

ArrayList<Integer> m_TreeIndices

Number of threes in the forest, may not be equal to m_Trees.size() because of memory optimisation.

m_Trees

ArrayList<ClusModel> m_Trees

A list of decision trees in the forest (or empty if memory optimisation is used).

m_Votes

ArrayList<ClusStatistic> m_Votes

Individual votes of trees in ensemble, used for calculation of confidence of predictions in self-training

Class si.ijs.kt.clus.ext.ensemble.ClusReadWriteLock

class ClusReadWriteLock extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_NbReaders

int m_NbReaders

m_NbWriteRequests

int m_NbWriteRequests

m_NbWriters

int m_NbWriters

Package si.ijs.kt.clus.ext.ensemble.ros

Class si.ijs.kt.clus.ext.ensemble.ros.ClusEnsembleROSInfo

class ClusEnsembleROSInfo extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_AllSubspaces

ArrayList<int[]> m_AllSubspaces

m_AverageTargetsUsed

double m_AverageTargetsUsed

m_Coverage

double[] m_Coverage

m_CoverageOpt

int[] m_CoverageOpt

m_ROSAlgorithmType

SettingsEnsemble.EnsembleROSAlgorithmType m_ROSAlgorithmType

m_ROSSubspaceSize

Integer m_ROSSubspaceSize

m_ROSVotingType

SettingsEnsemble.EnsembleROSVotingType m_ROSVotingType

m_Schema

ClusSchema m_Schema

Class si.ijs.kt.clus.ext.ensemble.ros.ClusROSModelInfo

class ClusROSModelInfo extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Children

ArrayList<ClusROSModelInfo> m_Children

m_DisabledTargetAttributes

HashSet<Integer> m_DisabledTargetAttributes

m_EnabledTargetAttributes

HashMap<Integer,Integer> m_EnabledTargetAttributes

m_NbTargetAttributes

int m_NbTargetAttributes

m_SizeOfSubspace

int m_SizeOfSubspace

m_SizeOfSubspaceSetting

int m_SizeOfSubspaceSetting

m_SubspaceString

String m_SubspaceString

m_TreeNumber

int m_TreeNumber

Package si.ijs.kt.clus.ext.hierarchical

Class si.ijs.kt.clus.ext.hierarchical.ClassesTuple

class ClassesTuple extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Count

int m_Count

m_Tuple

ClassesValue[] m_Tuple

Class si.ijs.kt.clus.ext.hierarchical.ClassesValue

class ClassesValue extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Abundance

double m_Abundance

m_ClassTerm

ClassTerm m_ClassTerm

m_Intermediate

boolean m_Intermediate

m_Path

String[] m_Path

Class si.ijs.kt.clus.ext.hierarchical.ClassHierarchy

class ClassHierarchy extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_ClassList

ArrayList<ClassTerm> m_ClassList

m_ClassMap

HashMap<String,ClassTerm> m_ClassMap

m_DummyTypes

NumericAttrType[] m_DummyTypes

m_Eval

ClassesTuple m_Eval

Classes to be evaluated at the end, ignoring hierarchy

m_HierType

int m_HierType

m_IsLocked

boolean m_IsLocked

m_MaxDepth

int m_MaxDepth

m_Root

ClassTerm m_Root

m_Weights

double[] m_Weights

Class si.ijs.kt.clus.ext.hierarchical.ClassTerm

class ClassTerm extends IndexedItem implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Depth

double m_Depth

Depth of the term in the hierarchy. If the term is the root, its depth is zero. Otherwise, it is 1 + AGG(depths of parents).

m_Hash

HashMap<String,ClassTerm> m_Hash

m_ID

String m_ID

m_MaxDepth

int m_MaxDepth

Maximal depth of the parents

m_MinDepth

int m_MinDepth

Minimal depth of the parents

m_Parents

ArrayList<ClassTerm> m_Parents

m_SubTerms

ArrayList<ClassTerm> m_SubTerms

Package si.ijs.kt.clus.ext.hierarchicalmtr

Class si.ijs.kt.clus.ext.hierarchicalmtr.ClusHMTRNode

class ClusHMTRNode extends Object implements Serializable

Serialized Fields

children

List<ClusHMTRNode> children

isAggregate

boolean isAggregate

isRoot

boolean isRoot

name

String name

Package si.ijs.kt.clus.ext.ilevelc

Class si.ijs.kt.clus.ext.ilevelc.COPKMeansCluster

class COPKMeansCluster extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Center

ILevelCStatistic m_Center

m_Data

ArrayList<DataTuple> m_Data

m_Index

int m_Index

m_Mgr

ClusStatManager m_Mgr

Class si.ijs.kt.clus.ext.ilevelc.COPKMeansModel

class COPKMeansModel extends ClusNode implements Serializable

serialVersionUID:

1L

Serialized Fields

m_AvgIter

int m_AvgIter

m_Clusters

COPKMeansCluster[] m_Clusters

m_CSets

int m_CSets

m_Illegal

boolean m_Illegal

m_Iterations

int m_Iterations

m_K

int m_K

m_RandIndex

double m_RandIndex

Class si.ijs.kt.clus.ext.ilevelc.ILevelCHeurStat

class ILevelCHeurStat extends ILevelCStatistic implements Serializable

serialVersionUID:

1L

Serialized Fields

m_CL

int[] m_CL

m_Clusters

int[] m_Clusters

m_ConstraintIndex

int[][] m_ConstraintIndex

m_Constraints

ArrayList m_Constraints

m_IE

int[] m_IE

m_ML

int[] m_ML

m_NbClass

int m_NbClass

Class si.ijs.kt.clus.ext.ilevelc.ILevelConstraint

class ILevelConstraint extends Object implements Serializable

Serialized Fields

m_T1

DataTuple m_T1

m_T2

DataTuple m_T2

m_Type

int m_Type

Class si.ijs.kt.clus.ext.ilevelc.ILevelCRandIndex

class ILevelCRandIndex extends ClusError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Attr

NominalAttrType m_Attr

m_Count

int m_Count

m_Exs

ArrayList m_Exs

m_Invalid

boolean m_Invalid

m_IsComputed

boolean m_IsComputed

m_RandIndex

double m_RandIndex

Class si.ijs.kt.clus.ext.ilevelc.ILevelCStatistic

class ILevelCStatistic extends RegressionStat implements Serializable

serialVersionUID:

1L

Serialized Fields

m_ClusterID

int m_ClusterID

m_Numeric

NumericAttrType[] m_Numeric

Class si.ijs.kt.clus.ext.ilevelc.SimpleClusterModel

class SimpleClusterModel extends ClusNode implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Assign

int[] m_Assign

m_Manager

ClusStatManager m_Manager

Package si.ijs.kt.clus.ext.optiontree

Class si.ijs.kt.clus.ext.optiontree.ClusOptionNode

class ClusOptionNode extends MyNode implements Serializable

serialVersionUID:

1L

Serialized Fields

m_HeuristicRatios

double[] m_HeuristicRatios

m_ID

int m_ID

m_OptionNodeText

String m_OptionNodeText

Class si.ijs.kt.clus.ext.optiontree.ClusSplitNode

class ClusSplitNode extends MyNode implements Serializable

serialVersionUID:

1L

Serialized Fields

m_ID

int m_ID

m_Test

NodeTest m_Test

Class si.ijs.kt.clus.ext.optiontree.MyNode

class MyNode extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Children

MyArray m_Children

m_ClusteringStat

ClusStatistic m_ClusteringStat

m_Parent

MyNode m_Parent

m_StatManager

ClusStatManager m_StatManager

m_TargetStat

ClusStatistic m_TargetStat

Package si.ijs.kt.clus.ext.optxval

Class si.ijs.kt.clus.ext.optxval.OptXValBinTree

class OptXValBinTree extends MyNode implements Serializable

serialVersionUID:

1L

Serialized Fields

m_NbFoldTests

int m_NbFoldTests

m_NbTests

int m_NbTests

m_Time

long m_Time

Class si.ijs.kt.clus.ext.optxval.OptXValNode

class OptXValNode extends MyNode implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Folds

int[] m_Folds

m_Nodes

ClusNode[] m_Nodes

m_Time

long m_Time

Class si.ijs.kt.clus.ext.optxval.OptXValSplit

class OptXValSplit extends MyNode implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Folds

int[] m_Folds

m_Test

NodeTest m_Test

Class si.ijs.kt.clus.ext.optxval.SoftNumericTest

class SoftNumericTest extends SoftTest implements Serializable

serialVersionUID:

1L

Serialized Fields

m_BoundFolds

int[][] m_BoundFolds

m_Bounds

double[] m_Bounds

m_Folds

int[] m_Folds

m_NegFolds

int[][] m_NegFolds

m_PosFolds

int[][] m_PosFolds

m_Type

NumericAttrType m_Type

Package si.ijs.kt.clus.ext.structuredTypes

Class si.ijs.kt.clus.ext.structuredTypes.Set

class Set extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_SetWeight

double m_SetWeight

m_Values

Object[] m_Values

Class si.ijs.kt.clus.ext.structuredTypes.SetStatistic

class SetStatistic extends SumPairwiseDistancesStat implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Attr

SetAttrType m_Attr

m_AvgDistances

double m_AvgDistances

m_RepresentativeMean

Set m_RepresentativeMean

m_RepresentativeMedoid

Set m_RepresentativeMedoid

m_SetStack

ArrayList<Set> m_SetStack

Class si.ijs.kt.clus.ext.structuredTypes.Tuple

class Tuple extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_TSWeight

double m_TSWeight

m_Values

Object[] m_Values

Class si.ijs.kt.clus.ext.structuredTypes.TupleStatistic

class TupleStatistic extends SumPairwiseDistancesStat implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Attr

TupleAttrType m_Attr

m_AvgDistances

double m_AvgDistances

m_RepresentativeMean

Tuple m_RepresentativeMean

m_RepresentativeMedoid

Tuple m_RepresentativeMedoid

m_TupleStack

ArrayList<Tuple> m_TupleStack

Package si.ijs.kt.clus.ext.timeseries

Class si.ijs.kt.clus.ext.timeseries.TimeSeries

class TimeSeries extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_TSWeight

double m_TSWeight

m_Values

double[] m_Values

Class si.ijs.kt.clus.ext.timeseries.TimeSeriesSignificantChangeTesterXVAL

class TimeSeriesSignificantChangeTesterXVAL extends ClusError implements Serializable

serialVersionUID:

1L

Serialized Fields

m_FoldsMean

ArrayList m_FoldsMean

m_FoldsMedoid

ArrayList m_FoldsMedoid

m_Stat

TimeSeriesStat m_Stat

Class si.ijs.kt.clus.ext.timeseries.TimeSeriesStat

class TimeSeriesStat extends SumPairwiseDistancesStat implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Attr

TimeSeriesAttrType m_Attr

m_AvgDistances

double m_AvgDistances

m_RepresentativeMean

TimeSeries m_RepresentativeMean

m_RepresentativeMedoid

TimeSeries m_RepresentativeMedoid

m_TimeSeriesStack

ArrayList<TimeSeries> m_TimeSeriesStack

Package si.ijs.kt.clus.main

Class si.ijs.kt.clus.main.ClusModelInfoList

class ClusModelInfoList extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_AllModelsMI

ClusModelInfo m_AllModelsMI

m_IndTime

long m_IndTime

m_IndTimeSequential

long m_IndTimeSequential

m_Models

ArrayList<ClusModelInfo> m_Models

m_PredictionTime

long m_PredictionTime

m_PredictionTimeNbExamples

int m_PredictionTimeNbExamples

m_PrepTime

long m_PrepTime

m_PruneTime

long m_PruneTime

Class si.ijs.kt.clus.main.ClusRun

class ClusRun extends ClusModelInfoList implements Serializable

serialVersionUID:

1L

Serialized Fields

m_FileTestSet

boolean m_FileTestSet

m_Index

int m_Index

m_IsInternalXValRun

boolean m_IsInternalXValRun

m_Lock

ClusReadWriteLock m_Lock

m_Orig

ClusData m_Orig

m_Prune

ClusData m_Prune

m_PruneSel

ClusSelection m_PruneSel

m_Summary

ClusSummary m_Summary

m_Test

TupleIterator m_Test

m_TestSel

ClusSelection m_TestSel

m_Train

ClusData m_Train

m_UnlabeledData

TupleIterator m_UnlabeledData

Class si.ijs.kt.clus.main.ClusStatManager

class ClusStatManager extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_BeamSearch

boolean m_BeamSearch

m_ChiSquareInvProb

double[] m_ChiSquareInvProb

m_ClusteringWeights

ClusAttributeWeights m_ClusteringWeights

m_DispersionWeights

ClusNormalizedAttributeWeights m_DispersionWeights

m_Hier

ClassHierarchy m_Hier

m_HMTRHier

ClusHMTRHierarchy m_HMTRHier

m_NormalizationWeights

ClusAttributeWeights m_NormalizationWeights

Variance used for normalization of attributes during error computation etc.

m_RuleInduceOnly

boolean m_RuleInduceOnly

m_Schema

ClusSchema m_Schema

m_Settings

Settings m_Settings

m_SSPDMtrx

SSPDMatrix m_SSPDMtrx

m_StatisticAttrUse

ClusStatistic[] m_StatisticAttrUse

m_TrainSetStatAttrUse

ClusStatistic[] m_TrainSetStatAttrUse

Class si.ijs.kt.clus.main.ClusSummary

class ClusSummary extends ClusModelInfoList implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Runs

int m_Runs

m_StatMgr

ClusStatManager m_StatMgr

m_TestErr

ClusErrorList m_TestErr

m_TotalRuns

int m_TotalRuns

m_TrainErr

ClusErrorList m_TrainErr

m_ValidErr

ClusErrorList m_ValidErr

Package si.ijs.kt.clus.main.settings

Class si.ijs.kt.clus.main.settings.Settings

class Settings extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Ini

INIFile m_Ini

Create the settings structure *

m_Sections

ArrayList<SettingsBase> m_Sections

m_SettAttribute

SettingsAttribute m_SettAttribute

m_SettBeamSearch

SettingsBeamSearch m_SettBeamSearch

m_SettConstraints

SettingsConstraints m_SettConstraints

m_SettData

SettingsData m_SettData

m_SettEnsemble

SettingsEnsemble m_SettEnsemble

m_SettExhaustiveSearch

SettingsExhaustiveSearch m_SettExhaustiveSearch

m_SettExperimental

SettingsExperimental m_SettExperimental

m_SettGeneral

SettingsGeneral m_SettGeneral

m_SettGeneric

SettingsGeneric m_SettGeneric

Individual settings classes

m_SettHMLC

SettingsHMLC m_SettHMLC

m_SettHMTR

SettingsHMTR m_SettHMTR

m_SettILevelC

SettingsILevelC m_SettILevelC

m_SettKNN

SettingsKNN m_SettKNN

m_SettKNNTree

SettingsKNNTree m_SettKNNTree

m_SettMLC

SettingsMLC m_SettMLC

m_SettModel

SettingsModel m_SettModel

m_SettNominal

SettingsNominal m_SettNominal

m_SettOptionTree

SettingsOptionTree m_SettOptionTree

m_SettOutput

SettingsOutput m_SettOutput

m_SettPhylogeny

SettingsPhylogeny m_SettPhylogeny

m_SettRelief

SettingsRelief m_SettRelief

m_SettRules

SettingsRules m_SettRules

m_SettSIT

SettingsSIT m_SettSIT

m_SettSSL

SettingsSSL m_SettSSL

m_SettTimeSeries

SettingsTimeSeries m_SettTimeSeries

m_SettTree

SettingsTree m_SettTree

Class si.ijs.kt.clus.main.settings.SettingsBase

class SettingsBase extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Position

int m_Position

m_Section

INIFileSection m_Section

Package si.ijs.kt.clus.main.settings.section

Class si.ijs.kt.clus.main.settings.section.SettingsAttribute

class SettingsAttribute extends SettingsBase implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Clustering

INIFileString m_Clustering

m_ClusteringWeights

INIFileNominalOrDoubleOrVector m_ClusteringWeights

m_Descriptive

INIFileString m_Descriptive

m_Disabled

INIFileString m_Disabled

m_GIS

INIFileString m_GIS

m_Key

INIFileString m_Key

m_ReduceMemoryNominal

INIFileBool m_ReduceMemoryNominal

m_Target

INIFileString m_Target

Section: Attribute *

m_Weights

INIFileNominalOrDoubleOrVector m_Weights

Class si.ijs.kt.clus.main.settings.section.SettingsBeamSearch

class SettingsBeamSearch extends SettingsBase implements Serializable

serialVersionUID:

1L

Serialized Fields

m_BeamAttrHeuristic

INIFileEnum<SettingsTree.Heuristic> m_BeamAttrHeuristic

m_BeamBestN

INIFileInt m_BeamBestN

m_BeamPostPrune

INIFileBool m_BeamPostPrune

m_BeamSimilarity

INIFileDouble m_BeamSimilarity

m_BeamSyntacticConstrFile

INIFileString m_BeamSyntacticConstrFile

m_BeamToForest

INIFileBool m_BeamToForest

m_BeamWidth

INIFileInt m_BeamWidth

m_BMRemoveEqualHeur

INIFileBool m_BMRemoveEqualHeur

m_BSortTrainParameter

INIFileBool m_BSortTrainParameter

m_FastBS

INIFileBool m_FastBS

m_SizePenalty

INIFileDouble m_SizePenalty

m_TreeMaxSize

INIFileInt m_TreeMaxSize

Class si.ijs.kt.clus.main.settings.section.SettingsConstraints

class SettingsConstraints extends SettingsBase implements Serializable

serialVersionUID:

1L

Serialized Fields

m_MaxErrorConstr

INIFileNominalOrDoubleOrVector m_MaxErrorConstr

m_MaxSizeConstr

INIFileNominalOrIntOrVector m_MaxSizeConstr

m_SyntacticConstrFile

INIFileString m_SyntacticConstrFile

Section: Constraints *

m_TreeMaxDepth

INIFileInt m_TreeMaxDepth

Class si.ijs.kt.clus.main.settings.section.SettingsData

class SettingsData extends SettingsBase implements Serializable

serialVersionUID:

1L

Serialized Fields

m_DataFile

INIFileString m_DataFile

Section: Data *

m_NormalizeData

INIFileEnum<SettingsData.NormalizeDataValues> m_NormalizeData

Do normalization for the data in the beginning. Done by dividing with the variance.

m_PruneSet

INIFileStringOrDouble m_PruneSet

m_PruneSetMax

INIFileStringOrInt m_PruneSetMax

m_RemoveMissingTarget

INIFileBool m_RemoveMissingTarget

m_TestSet

INIFileStringOrDouble m_TestSet

m_XValFolds

INIFileStringOrInt m_XValFolds

How many folds are we having in xval OR gives a file that defines the used folds (in the data set)

Class si.ijs.kt.clus.main.settings.section.SettingsEnsemble

class SettingsEnsemble extends SettingsBase implements Serializable

serialVersionUID:

1L

Serialized Fields

m_BagSelection

INIFileNominalOrIntOrVector m_BagSelection

m_EnsembleBagSize

INIFileInt m_EnsembleBagSize

m_EnsembleBootstrapping

INIFileEnum<SettingsEnsemble.EnsembleBootstrapping> m_EnsembleBootstrapping

Ensemble bootstrapping: yes or no

m_EnsembleMethod

INIFileEnum<SettingsEnsemble.EnsembleMethod> m_EnsembleMethod

Used ensemble method

m_EnsembleMode

boolean m_EnsembleMode

m_EnsembleOOBestimate

INIFileBool m_EnsembleOOBestimate

Estimate error with time and memory optimization

m_EnsembleRandomDepth

INIFileBool m_EnsembleRandomDepth

Do we want to use different random depth for different iterations of ensemble. Used in tree to rules optimization method. The MaxDepth of tree is used as average.

m_EnsembleROSAlgorithmType

INIFileEnum<SettingsEnsemble.EnsembleROSAlgorithmType> m_EnsembleROSAlgorithmType

Used for ROS (Random Output Selections)

m_EnsembleROSVotingType

INIFileEnum<SettingsEnsemble.EnsembleROSVotingType> m_EnsembleROSVotingType

m_EnsembleShouldOpt

INIFileBool m_EnsembleShouldOpt

Time and memory optimization

m_EnsembleVotingType

INIFileEnum<SettingsEnsemble.EnsembleVotingType> m_EnsembleVotingType

Voting type, for regression mean is always used, the options are for classification

m_FeatureRanking

INIFileEnumList<SettingsEnsemble.EnsembleRanking> m_FeatureRanking

m_FeatureRankingPerTarget

INIFileBool m_FeatureRankingPerTarget

m_NbBags

INIFileNominalOrIntOrVector m_NbBags

m_NumberOfThreads

INIFileInt m_NumberOfThreads

Number of threads that are used when growing the trees.

m_PrintAllModelFiles

INIFileBool m_PrintAllModelFiles

m_PrintAllModelInfo

INIFileBool m_PrintAllModelInfo

m_PrintAllModels

INIFileBool m_PrintAllModels

m_PrintPaths

INIFileBool m_PrintPaths

m_RandomAttrSelected

INIFileString m_RandomAttrSelected

Size of the feature set used during tree induction. Used for random forests, random subspaces and bagging of subspaces. If left to default 0, floor(log_2 #DescAttr) + 1 is used.

m_RandomTargetAttrSelected

INIFileString m_RandomTargetAttrSelected

Size of the target feature space (similar to m_RandomAttrSelected)

m_SortFeaturesByRelevance

INIFileBool m_SortFeaturesByRelevance

m_SubsetSize

int m_SubsetSize

m_SymbolicWeight

INIFileString m_SymbolicWeight

m_TimeBudget

INIFileInt m_TimeBudget

m_WriteEnsemblePredictions

INIFileBool m_WriteEnsemblePredictions

Class si.ijs.kt.clus.main.settings.section.SettingsExhaustiveSearch

class SettingsExhaustiveSearch extends SettingsBase implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Exhaustive

INIFileBool m_Exhaustive

Section: Exhaustive search *

m_StartItemCpt

INIFileInt m_StartItemCpt

m_StartTreeCpt

INIFileInt m_StartTreeCpt

Class si.ijs.kt.clus.main.settings.section.SettingsExperimental

class SettingsExperimental extends SettingsBase implements Serializable

serialVersionUID:

1L

Serialized Fields

m_SetsData

INIFileInt m_SetsData

m_ShowForest

INIFileBool m_ShowForest

Class si.ijs.kt.clus.main.settings.section.SettingsGeneral

class SettingsGeneral extends SettingsBase implements Serializable

serialVersionUID:

1L

Serialized Fields

m_DoNotInduce

INIFileBool m_DoNotInduce

m_LoggingProperties

INIFileString m_LoggingProperties

m_RandomSeed

INIFileString m_RandomSeed

m_ResourceInfoLoaded

INIFileEnum<SettingsGeneral.ResourceInfoLoad> m_ResourceInfoLoaded

m_Verbose

INIFileInt m_Verbose

Section: General *

Class si.ijs.kt.clus.main.settings.section.SettingsGeneric

class SettingsGeneric extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_AppName

String m_AppName

m_Date

Date m_Date

Generic information *

m_DirName

String m_DirName

m_SettOutput

SettingsOutput m_SettOutput

m_Suffix

String m_Suffix

Class si.ijs.kt.clus.main.settings.section.SettingsHMLC

class SettingsHMLC extends SettingsBase implements Serializable

serialVersionUID:

1L

Serialized Fields

m_CalErr

INIFileBool m_CalErr

m_DefinitionFile

INIFileString m_DefinitionFile

m_HierClassThreshold

INIFileNominalOrDoubleOrVector m_HierClassThreshold

m_HierDistance

INIFileEnum<SettingsHMLC.HierarchyDistance> m_HierDistance

m_HierEmptySetIndicator

INIFileString m_HierEmptySetIndicator

m_HierEvalClasses

INIFileString m_HierEvalClasses

m_HierNoRootPreds

INIFileBool m_HierNoRootPreds

m_HierOptimizeErrorMeasure

INIFileEnum<SettingsHMLC.HierarchyMeasures> m_HierOptimizeErrorMeasure

m_HierPruneInSig

INIFileDouble m_HierPruneInSig

m_HierSep

INIFileString m_HierSep

m_HierSingleLabel

INIFileBool m_HierSingleLabel

m_HierType

INIFileEnum<SettingsHMLC.HierarchyType> m_HierType

m_HierUseBonferroni

INIFileBool m_HierUseBonferroni

m_HierWParam

INIFileDouble m_HierWParam

m_HierWType

INIFileEnum<SettingsHMLC.HierarchyWeight> m_HierWType

m_RecallValues

INIFileNominalOrDoubleOrVector m_RecallValues

Class si.ijs.kt.clus.main.settings.section.SettingsHMTR

class SettingsHMTR extends SettingsBase implements Serializable

serialVersionUID:

1L

Serialized Fields

m_HMTRAggregation

INIFileEnum<SettingsHMTR.HierarchyAggregationsHMTR> m_HMTRAggregation

m_HMTRDistance

INIFileEnum<SettingsHMTR.HierarchyDistanceHMTR> m_HMTRDistance

m_HMTRHierarchyString

INIFileString m_HMTRHierarchyString

m_HMTRHierarchyWeight

INIFileDouble m_HMTRHierarchyWeight

m_HMTRUsingDump

boolean m_HMTRUsingDump

m_SettAttribute

SettingsAttribute m_SettAttribute

m_SettGeneral

SettingsGeneral m_SettGeneral

Class si.ijs.kt.clus.main.settings.section.SettingsILevelC

class SettingsILevelC extends SettingsBase implements Serializable

serialVersionUID:

1L

Serialized Fields

m_ILevelCAlpha

INIFileDouble m_ILevelCAlpha

m_ILevelCCOPKMeans

INIFileBool m_ILevelCCOPKMeans

m_ILevelCFile

INIFileString m_ILevelCFile

Section: Instance level constraints *

m_ILevelCMPCKMeans

INIFileBool m_ILevelCMPCKMeans

m_ILevelNbRandomConstr

INIFileInt m_ILevelNbRandomConstr

Class si.ijs.kt.clus.main.settings.section.SettingsKNN

class SettingsKNN extends SettingsBase implements Serializable

serialVersionUID:

1L

Serialized Fields

m_attributeWeight

INIFileString m_attributeWeight

m_ChosenInstancesTest

INIFileNominalOrIntOrVector m_ChosenInstancesTest

m_ChosenInstancesTrain

INIFileNominalOrIntOrVector m_ChosenInstancesTrain

m_Distance

INIFileEnum<SettingsKNN.Distance> m_Distance

Section: KNN *

m_distanceWeight

INIFileEnumList<SettingsKNN.DistanceWeights> m_distanceWeight

m_IsMlcKnn

INIFileBool m_IsMlcKnn

m_k

INIFileNominalOrIntOrVector m_k

m_LoadNeighboursFiles

INIFileArray m_LoadNeighboursFiles

m_MlcCountSmoother

INIFileDouble m_MlcCountSmoother

m_SaveNeighboursFile

INIFileString m_SaveNeighboursFile

m_SearchMethod

INIFileEnum<SettingsKNN.SearchMethod> m_SearchMethod

Class si.ijs.kt.clus.main.settings.section.SettingsKNNTree

class SettingsKNNTree extends SettingsBase implements Serializable

serialVersionUID:

1L

Serialized Fields

kNNT_attrWeighted

INIFileBool kNNT_attrWeighted

kNNT_distWeighted

INIFileBool kNNT_distWeighted

kNNT_k

INIFileInt kNNT_k

Section: KNN Trees *

kNNT_normalized

INIFileBool kNNT_normalized

kNNT_vectDist

INIFileString kNNT_vectDist

Class si.ijs.kt.clus.main.settings.section.SettingsMLC

class SettingsMLC extends SettingsBase implements Serializable

serialVersionUID:

1L

Serialized Fields

m_MultiLabelOptimizeThreshold

INIFileEnum<SettingsMLC.MultiLabelThresholdOptimization> m_MultiLabelOptimizeThreshold

m_MultiLabelRankingMeasure

INIFileEnumList<SettingsMLC.MultiLabelMeasures> m_MultiLabelRankingMeasure

m_MultiLabelThreshold

INIFileNominalOrDoubleOrVector m_MultiLabelThreshold

Section: Multi-label classification *

m_SettHMLC

SettingsHMLC m_SettHMLC

m_SettRelief

SettingsRelief m_SettRelief

m_ShowThresholds

INIFileBool m_ShowThresholds

Class si.ijs.kt.clus.main.settings.section.SettingsModel

class SettingsModel extends SettingsBase implements Serializable

serialVersionUID:

1L

Serialized Fields

m_LoadFromModelFile

INIFileBool m_LoadFromModelFile

m_MinKnownW

INIFileDouble m_MinKnownW

m_MinNbEx

INIFileInt m_MinNbEx

m_MinW

INIFileDouble m_MinW

Section: Model *

m_NominalSubsetTests

INIFileBool m_NominalSubsetTests

m_TuneFolds

INIFileString m_TuneFolds

Class si.ijs.kt.clus.main.settings.section.SettingsNominal

class SettingsNominal extends SettingsBase implements Serializable

serialVersionUID:

1L

Serialized Fields

m_MEstimate

INIFileDouble m_MEstimate

Section: Nominal - Should move? *

Class si.ijs.kt.clus.main.settings.section.SettingsOptionTree

class SettingsOptionTree extends SettingsBase implements Serializable

serialVersionUID:

1L

Serialized Fields

m_optionDecayFactor

INIFileDouble m_optionDecayFactor

m_optionEpsilon

INIFileDouble m_optionEpsilon

m_optionFactor

INIFileDouble m_optionFactor

Section: Option tree

m_optionMaxDepthOfOptionNode

INIFileInt m_optionMaxDepthOfOptionNode

m_optionMaxNumberOfOptionsPerNode

INIFileInt m_optionMaxNumberOfOptionsPerNode

Class si.ijs.kt.clus.main.settings.section.SettingsOutput

class SettingsOutput extends SettingsBase implements Serializable

serialVersionUID:

1L

Serialized Fields

m_ComputeSpearman

INIFileEnum<SettingsBase.YesNo> m_ComputeSpearman

m_GzipOutput

INIFileBool m_GzipOutput

m_ModelIDFiles

INIFileBool m_ModelIDFiles

m_OutFoldData

INIFileBool m_OutFoldData

Print out data to .arff files for each fold, m_WritePredictions has to be given value to this to work

m_OutFoldErr

INIFileBool m_OutFoldErr

Section: Output *

m_OutFoldModels

INIFileBool m_OutFoldModels

m_OutputClowdFlowsJSON

INIFileBool m_OutputClowdFlowsJSON

m_OutputDatabaseQueries

INIFileBool m_OutputDatabaseQueries

m_OutputJSONModel

INIFileBool m_OutputJSONModel

m_OutputPythonModel

INIFileBool m_OutputPythonModel

m_OutputROSSubspaces

INIFileBool m_OutputROSSubspaces

m_OutTestErr

INIFileBool m_OutTestErr

m_OutTrainErr

INIFileBool m_OutTrainErr

m_OutValidErr

INIFileBool m_OutValidErr

m_PrintModelAndExamples

INIFileBool m_PrintModelAndExamples

m_PythonModelType

INIFileEnum<SettingsOutput.PythonModelType> m_PythonModelType

m_ShowBrFreq

INIFileBool m_ShowBrFreq

m_ShowInfo

INIFileEnumList<SettingsOutput.ShowInfo> m_ShowInfo

m_ShowModels

INIFileEnumList<SettingsOutput.ShowModels> m_ShowModels

m_ShowUnknown

INIFileBool m_ShowUnknown

m_WriteCurves

INIFileBool m_WriteCurves

m_WriteErrorFile

INIFileBool m_WriteErrorFile

m_WriteModelFile

INIFileBool m_WriteModelFile

m_WriteOOBFile

INIFileBool m_WriteOOBFile

m_WritePerBagModelFiles

INIFileBool m_WritePerBagModelFiles

m_WritePredictions

INIFileEnumList<SettingsOutput.WritePredictions> m_WritePredictions

Write test/train predictions to files

Class si.ijs.kt.clus.main.settings.section.SettingsPhylogeny

class SettingsPhylogeny extends SettingsBase implements Serializable

serialVersionUID:

1L

Serialized Fields

m_PhylogenyCriterion

INIFileEnum<SettingsPhylogeny.PhylogenyCriterion> m_PhylogenyCriterion

m_PhylogenyDistanceMatrix

INIFileString m_PhylogenyDistanceMatrix

m_PhylogenyDistancesVsParentStop

INIFileDouble m_PhylogenyDistancesVsParentStop

m_PhylogenyDistancesVsRootStop

INIFileDouble m_PhylogenyDistancesVsRootStop

m_PhylogenyDM

INIFileEnum<SettingsPhylogeny.PhylogenyDistanceMeasure> m_PhylogenyDM

m_PhylogenyEntropyVsParentStop

INIFileDouble m_PhylogenyEntropyVsParentStop

m_PhylogenyEntropyVsRootStop

INIFileDouble m_PhylogenyEntropyVsRootStop

m_PhylogenySequence

INIFileEnum<SettingsPhylogeny.PhylogenySequence> m_PhylogenySequence

Class si.ijs.kt.clus.main.settings.section.SettingsRelief

class SettingsRelief extends SettingsBase implements Serializable

serialVersionUID:

1L

Serialized Fields

m_ChosenInstances

INIFileNominalOrIntOrVector m_ChosenInstances

m_MissingTargetHandling

INIFileEnum<SettingsRelief.MissingTargetHandling> m_MissingTargetHandling

How to handle missing targets?

m_MultilabelDistance

INIFileEnum<SettingsRelief.MultilabelDistance> m_MultilabelDistance

m_ReliefIndicesInRankingNames

INIFileBool m_ReliefIndicesInRankingNames

m_ReliefNbIterations

INIFileNominalOrDoubleOrVector m_ReliefNbIterations

m_ReliefNbNeighbours

INIFileNominalOrIntOrVector m_ReliefNbNeighbours

m_ReliefShouldHaveNeighbourWeighting

INIFileBool m_ReliefShouldHaveNeighbourWeighting

m_ReliefWeightingSigma

INIFileDouble m_ReliefWeightingSigma

mReliefStatistics

INIFileEnum<SettingsRelief.ReliefStatisticsType> mReliefStatistics

Class si.ijs.kt.clus.main.settings.section.SettingsRules

class SettingsRules extends SettingsBase implements Serializable

serialVersionUID:

1L

Serialized Fields

IS_RULE_SIG_TESTING

boolean IS_RULE_SIG_TESTING

m_ComputeDispersion

INIFileBool m_ComputeDispersion

m_constrainedToFirstAttVal

INIFileBool m_constrainedToFirstAttVal

m_CoveringMethod

INIFileEnum<SettingsRules.CoveringMethod> m_CoveringMethod

m_CoveringWeight

INIFileDouble m_CoveringWeight

m_DispersionWeights

INIFileNominalOrDoubleOrVector m_DispersionWeights

m_HeurCoveragePar

INIFileDouble m_HeurCoveragePar

m_HeurDispOffset

INIFileDouble m_HeurDispOffset

m_HeurPrototypeDistPar

INIFileDouble m_HeurPrototypeDistPar

m_HeurRuleDistPar

INIFileDouble m_HeurRuleDistPar

m_InitialRuleGeneratingMethod

INIFileEnum<SettingsRules.InitialRuleGeneratingMethod> m_InitialRuleGeneratingMethod

m_InstCoveringWeightThreshold

INIFileDouble m_InstCoveringWeightThreshold

m_MaxPoissonIterations

INIFileInt m_MaxPoissonIterations

Number of iterations in org.apache.commons.math4.distribution.PoissonDistribution

m_MaxRuleCardinality

INIFileInt m_MaxRuleCardinality

Expected cardinality (excluding default rule)

m_MaxRulesNb

INIFileInt m_MaxRulesNb

m_NumberOfSampledRuleSets

INIFileInt m_NumberOfSampledRuleSets

Number of generated rule sets

m_OptAddLinearTerms

INIFileEnum<SettingsRules.OptimizationGDAddLinearTerms> m_OptAddLinearTerms

Do we add the descriptive attributes as linear terms to rule set. Default No.

m_OptDECrossProb

INIFileDouble m_OptDECrossProb

DE Crossover probability

m_OptDefaultShiftPred

INIFileBool m_OptDefaultShiftPred

Shift RULE predictions according to the default prediction. Should increase the accuracy. Default true. The default prediction is based on statistical factors of TARGET ATTRIBUTES. Linear terms are not touched (similar is done for them with m_OptNormalizeLinearTerms).

m_OptDENumEval

INIFileInt m_OptDENumEval

Differential evolution, number of individual evaluations to be done. Divide this with m_OptDEPopSize to get the number of 'iterations'

m_OptDEPopSize

INIFileInt m_OptDEPopSize

DE Number of individuals (population) during every iteration

m_OptDEProbMutationNonZero

INIFileDouble m_OptDEProbMutationNonZero

DE A reverse for the zeroing. A probability to mutate certain value to nonzero random value. Could be used if zeroing is used.

m_OptDEProbMutationZero

INIFileDouble m_OptDEProbMutationZero

DE A probability to mutate certain value to zero. Useful if zero weights are wanted

m_OptDERegulPower

INIFileDouble m_OptDERegulPower

DE The power of regularization function. The default is 1, i.e. l1 norm.

m_OptDESeed

INIFileInt m_OptDESeed

m_OptDEWeight

INIFileDouble m_OptDEWeight

m_OptGDEarlyStopAmount

INIFileDouble m_OptGDEarlyStopAmount

GD User early stopping criteria for this amount of data. If 0, no early stopping used.

m_OptGDEarlyStopTreshold

INIFileDouble m_OptGDEarlyStopTreshold

GD Early stopping criteria treshold. Value should be greater than 1. Used at least for stopping GD optimization for single T value. However, if OptGDEarlyTTryStop true, also used for stopping to try new T values.

m_OptGDEarlyTTryStop

INIFileBool m_OptGDEarlyTTryStop

GD When running from T=1 down, do we stop if the error starts to increase. Should make optimization a lot faster, but may decrease the accuracy. Default Yes.

m_OptGDExternalMethod

INIFileEnum<SettingsRules.GDExternalMethodValues> m_OptGDExternalMethod

GD External binary, do we use GD or brute force method

m_OptGDGradTreshold

INIFileDouble m_OptGDGradTreshold

GD Treshold [0,1] for changing the gradient. This portion of maximum gradients are affecting. A value between [0,1].If 1 (default) this is simliar to L1 regularization (Lasso) and 0 similar to L2.

m_OptGDIsDynStepsize

INIFileBool m_OptGDIsDynStepsize

GD Compute lower limit of step size based on the predictions. Default Yes.

m_OptGDMaxIter

INIFileInt m_OptGDMaxIter

GD Maximum amount of iterations

m_OptGDMaxNbWeights

INIFileInt m_OptGDMaxNbWeights

GD Maximum number of nonzero weights. If the number reached, only old ones are altered. If = 0, no limit for nonzero weights.

m_OptGDMTGradientCombine

INIFileEnum<SettingsRules.OptimizationGDMTCombineGradient> m_OptGDMTGradientCombine

GD How to combine multiple targets to single gradient value for step taking

m_OptGDNbOfStepSizeReduce

INIFileStringOrInt m_OptGDNbOfStepSizeReduce

GD When early stopping is found, how many times we try to reduce the step size and try again Default is Infinity. In this case we use all the iterations by reducing step size.

m_OptGDNbOfTParameterTry

INIFileInt m_OptGDNbOfTParameterTry

GD How many different parameter combinations we try for T. Values between [m_OptGDGradTreshold,1]

m_OptGDStepSize

INIFileDouble m_OptGDStepSize

GD Initial step size ]0,1] for each iteration. If m_OptGDIsDynStepsize is true, this is not used.

m_OptHuberAlpha

INIFileDouble m_OptHuberAlpha

Optimization For Huber 1962 loss function an alpha value for outliers has to be given.

m_OptLinearTermsTruncate

INIFileBool m_OptLinearTermsTruncate

If linear terms are added, are truncated so that they do not predict values greater or lower than found in the training set. Default Yes.

m_OptLossFunction

INIFileEnum<SettingsRules.OptimizationLossFunction> m_OptLossFunction

DE The loss function. The default is squared loss.

m_OptNbZeroesPar

INIFileDouble m_OptNbZeroesPar

Optimization regularization parameter - number of zeroes. Especially useful for DE optimization.

m_OptNormalization

INIFileEnum<SettingsRules.OptimizationNormalization> m_OptNormalization

Do we normalize the targets of predictions and true values internally for optimization. The normalization is done with statistical factors of TARGET ATTRIBUTES. This normalization is inverted after the optimization. On default YES, because it should make at least GD optimization work better (covariance computing may not work otherwise). This makes the error function very similar to RRMSE. Alternatively YesVariance normalizes with variance.

m_OptNormalizeLinearTerms

INIFileEnum<SettingsRules.OptimizationLinearTermNormalizeValues> m_OptNormalizeLinearTerms

If linear terms are added, are they scaled so that each variable has similar effect. The normalization is done via statistical factors of DESCRIPTIVE ATTRIBUTES. You get similar effect by normalizing the data. Default Yes.

m_OptOmitRulePredictions

INIFileBool m_OptOmitRulePredictions

Do we omit the rule predictions such that the (single target) predictions are changed to 1. This does not do anything to the linear terms. Default Yes.

m_OptRegPar

INIFileDouble m_OptRegPar

Optimization regularization parameter

m_OptRuleWeightBinarization

INIFileBool m_OptRuleWeightBinarization

If this flag is set, weights higher than m_OptRuleWeightThreshold will get value 1, others will be set to 0

m_OptRuleWeightThreshold

INIFileDouble m_OptRuleWeightThreshold

The treshold for rule weights. If weight < this, rule is removed.

m_OptWeightGenerality

INIFileBool m_OptWeightGenerality

Do we scale the predictions for optimization based on the coverage This should put more weight to general rules. Default No.

m_origCoveringMethod

SettingsRules.CoveringMethod m_origCoveringMethod

m_origHeurRuleDistPar

double m_origHeurRuleDistPar

m_origRulePredictionMethod

SettingsRules.RulePredictionMethod m_origRulePredictionMethod

m_PredictionMethod

INIFileEnum<SettingsRules.RulePredictionMethod> m_PredictionMethod

m_PrintAllRules

INIFileBool m_PrintAllRules

Section: Rules *

m_RandomRules

INIFileInt m_RandomRules

How many random rules are wanted. If > 0 only random rules are generated

m_ROSAddRulesWithTotalAveraging

INIFileBool m_ROSAddRulesWithTotalAveraging

When building rule ensemble with FIRE, we need an initial bag of rules. The original method (Timo Aho, 2012) transcribes a random forest ensemble to rules. If we use ROS with subspace averaging (Breskvar, 2018) we can choose to only use rules that predict subsets or also rules, that predict all targets. The default is to use both types.

m_ROSParameterAutoTune

INIFileBool m_ROSParameterAutoTune

ROS parameters (subset size and voting type) can be autotuned. Off by default.

m_RuleAddingMethod

INIFileEnum<SettingsRules.RuleAddingMethod> m_RuleAddingMethod

m_ruleInduceParamsDisabled

boolean m_ruleInduceParamsDisabled

m_RuleNbSigAtts

INIFileInt m_RuleNbSigAtts

m_RuleSignificanceLevel

INIFileDouble m_RuleSignificanceLevel

m_RuleWiseErrors

INIFileBool m_RuleWiseErrors

m_ValidationSetPercentage

INIFileDouble m_ValidationSetPercentage

Percentage of training data to use as validation set when selecting the best sampled rule set

m_VarBasedDispNormWeight

INIFileDouble m_VarBasedDispNormWeight

Class si.ijs.kt.clus.main.settings.section.SettingsSIT

class SettingsSIT extends SettingsBase implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Error

INIFileString m_Error

m_Learner

INIFileString m_Learner

m_MainTarget

INIFileString m_MainTarget

Section: Selective inductive transfer *

m_Recursive

INIFileBool m_Recursive

m_Search

INIFileString m_Search

Class si.ijs.kt.clus.main.settings.section.SettingsSSL

class SettingsSSL extends SettingsBase implements Serializable

serialVersionUID:

1L

Serialized Fields

m_CalibrateHmcThreshold

INIFileBool m_CalibrateHmcThreshold

if set to yes, HMC threshold is calibrated such that the difference between label cardinality of labeled examples and predicted unlabeled examples is minimal

m_SemiSupervisedMode

boolean m_SemiSupervisedMode

m_SSL_aggregation

INIFileEnum<SettingsSSL.SSLAggregation> m_SSL_aggregation

m_SSL_airbagTrials

INIFileInt m_SSL_airbagTrials

whether to add weights to unlabeled examples when adding them to the labeled set. Weights correspond to the confidence score

m_SSL_ConfidenceMeasure

INIFileEnum<SettingsSSL.SSLConfidenceMeasure> m_SSL_ConfidenceMeasure

m_SSL_ConfidenceThreshold

INIFileDouble m_SSL_ConfidenceThreshold

number of iterations for Self Training method, applies if StoppingCriteria = Iterations

m_SSL_ExhaustiveSearchThresholds

INIFileNominalOrDoubleOrVector m_SSL_ExhaustiveSearchThresholds

number of times it is allowed for the trained model's OOBError to be worse than of the model in previous iteration.

m_SSL_ForceInternalFolds

INIFileBool m_SSL_ForceInternalFolds

Should force the internal cross-validation for optimizing w if only one candidate weight chosen? (in order to obtain the score for the weight)

m_SSL_ImputeMissingTargetValues

INIFileBool m_SSL_ImputeMissingTargetValues

If yes, the values are imputed by using kNN: this is concordance with the clustering hypothesis ... The other relevant settings (number of neighbours, distance measure, neighbour files etc.) are taken from the kNN section. Note that if the neighbours are not computed for all the examples with the missing values, the forest or whatever model will not be grown.

m_SSL_InduceMain

INIFileBool m_SSL_InduceMain

Should proceed to main ?

m_SSL_InternalFold

INIFileInt m_SSL_InternalFold

Which internal fold

m_SSL_InternalFolds

INIFileInt m_SSL_InternalFolds

How many folds for internal cross validation for optimizing w

m_SSL_Iterations

INIFileInt m_SSL_Iterations

m_SSL_K

INIFileInt m_SSL_K

Threshold for the confidence of predictions of unlabeled instances to be added to the training set

m_SSL_normalization

INIFileEnum<SettingsSSL.SSLNormalization> m_SSL_normalization

m_SSL_OOBErrorCalculation

INIFileEnum<SettingsSSL.SSLOOBErrorCalculation> m_SSL_OOBErrorCalculation

a set of thresholds which will be tested when searching for the optimal threshold, if UnlabeledCriteria = ExhaustiveSearch

m_SSL_PercentageLabeled

INIFileInt m_SSL_PercentageLabeled

(Optional) File containing unlabeled data. If unlabeled data is not provided, and SSL is initialized, unlabeled examples will be randomly selected from the training set according to m_SSL_PercentageLabeled setting

m_SSL_PossibleWeights

INIFileNominalOrDoubleOrVector m_SSL_PossibleWeights

Candidate weights for automatic w optimization

m_SSL_PruningWhenTuning

INIFileBool m_SSL_PruningWhenTuning

Should the trees be pruned when optimizing w parameter

m_SSL_SemiSupervisedMethod

INIFileEnum<SettingsSSL.SSLMethod> m_SSL_SemiSupervisedMethod

m_SSL_StoppingCriteria

INIFileEnum<SettingsSSL.SSLStoppingCriteria> m_SSL_StoppingCriteria

m_SSL_SupervisionOptimisationTrees

INIFileInt m_SSL_SupervisionOptimisationTrees

m_SSL_UnlabeledCriteria

INIFileEnum<SettingsSSL.SSLUnlabeledCriteria> m_SSL_UnlabeledCriteria

m_SSL_UnlabeledData

INIFileStringOrDouble m_SSL_UnlabeledData

K parameter for "KMostConfident" unlabeled criteria

m_SSL_useWeights

INIFileBool m_SSL_useWeights

From the training data, specified percentage will be used as labeled data, other will be used as unlabeled. This is used when UnlabeledData parameter is not set.

m_SSL_WeightScoresFile

INIFileString m_SSL_WeightScoresFile

File where results for each candidate w will be written during optimization

Class si.ijs.kt.clus.main.settings.section.SettingsTimeSeries

class SettingsTimeSeries extends SettingsBase implements Serializable

serialVersionUID:

1L

Serialized Fields

m_TimeSeriesDistance

INIFileEnum<SettingsTimeSeries.TimeSeriesDistanceMeasure> m_TimeSeriesDistance

m_TimeSeriesHeuristicSampling

INIFileEnum<SettingsTimeSeries.TimeSeriesPrototypeComplexity> m_TimeSeriesHeuristicSampling

Class si.ijs.kt.clus.main.settings.section.SettingsTree

class SettingsTree extends SettingsBase implements Serializable

serialVersionUID:

1L

Serialized Fields

m_1SERule

INIFileBool m_1SERule

m_AlternativeSplits

INIFileBool m_AlternativeSplits

m_Bandwidth

INIFileDouble m_Bandwidth

m_BinarySplit

INIFileBool m_BinarySplit

m_ConsiderUnlableInstancesInIGCalc

INIFileBool m_ConsiderUnlableInstancesInIGCalc

m_EntropyType

INIFileEnum<SettingsTree.EntropyType> m_EntropyType

m_FTest

INIFileNominalOrDoubleOrVector m_FTest

m_Heuristic

INIFileEnum<SettingsTree.Heuristic> m_Heuristic

m_HeuristicComplexity

INIFileEnum<SettingsTimeSeries.TimeSeriesPrototypeComplexity> m_HeuristicComplexity

m_InductionOrder

INIFileEnum<SettingsTree.InductionOrder> m_InductionOrder

m_Longlat

INIFileBool m_Longlat

m_M5PruningMult

INIFileDouble m_M5PruningMult

m_MissingClusteringAttrHandling

INIFileEnum<SettingsTree.MissingClusteringAttributeHandlingType> m_MissingClusteringAttrHandling

m_MissingTargetAttrHandling

INIFileEnum<SettingsTree.MissingTargetAttributeHandlingType> m_MissingTargetAttrHandling

Determines how we calculate prototype (i.e., prediction) if all the tuple in leaf node have only missing values for target attribute.

m_MSENominal

INIFileBool m_MSENominal

m_NeighCount

INIFileDouble m_NeighCount

m_PruningMethod

INIFileEnum<SettingsTree.PruningMethod> m_PruningMethod

m_RulesFromTree

INIFileEnum<SettingsOutput.ConvertRules> m_RulesFromTree

Do we transform leaves or all nodes of tree to rules

m_SetDistance

INIFileEnum<SettingsTree.SetDistance> m_SetDistance

m_SpatialAlpha

INIFileDouble m_SpatialAlpha

m_SpatialMatrix

INIFileEnum<SettingsTree.SpatialMatrixType> m_SpatialMatrix

m_SpatialMeasure

INIFileEnum<SettingsTree.SpatialMeasure> m_SpatialMeasure

m_SplitPosition

INIFileEnum<SettingsTree.SplitPositions> m_SplitPosition

m_TreeOptimize

INIFileEnumList<SettingsTree.TreeOptimizeValues> m_TreeOptimize

m_TreeSplitSampling

INIFileInt m_TreeSplitSampling

Amount of datapoints to include for calculating split heuristic. Datapoints will be selected randomly.

m_TSDistance

INIFileEnum<SettingsTree.TimeSeriesDistanceMeasure> m_TSDistance

m_TupleDistance

INIFileEnum<SettingsTree.TupleDistance> m_TupleDistance

Package si.ijs.kt.clus.model

Class si.ijs.kt.clus.model.ClusModelInfo

class ClusModelInfo extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_ExtraErr

ClusErrorList m_ExtraErr

m_HasName

boolean m_HasName

m_Manager

ClusStatManager m_Manager

m_Model

ClusModel m_Model

m_ModelSize

int m_ModelSize

m_Name

String m_Name

m_NbModels

int m_NbModels

m_Score

double m_Score

m_ShouldPruneInvalid

boolean m_ShouldPruneInvalid

m_ShouldSave

boolean m_ShouldSave

m_ShouldWritePredictions

boolean m_ShouldWritePredictions

m_TestErr

ClusErrorList m_TestErr

m_TrainErr

ClusErrorList m_TrainErr

m_ValidErr

ClusErrorList m_ValidErr

Package si.ijs.kt.clus.model.io

Class si.ijs.kt.clus.model.io.ClusModelCollectionIO

class ClusModelCollectionIO extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_ModelInfos

ArrayList m_ModelInfos

Package si.ijs.kt.clus.model.processor

Class si.ijs.kt.clus.model.processor.ModelProcessorCollection

class ModelProcessorCollection extends MyArray implements Serializable

serialVersionUID:

1L

Package si.ijs.kt.clus.model.test

Class si.ijs.kt.clus.model.test.ClusRuleConstraintInduceTest

class ClusRuleConstraintInduceTest extends NodeTest implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Bound

double m_Bound

m_Type

NumericAttrType m_Type

smallerThan

boolean smallerThan

Class si.ijs.kt.clus.model.test.FakeTest

class FakeTest extends NodeTest implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Line

String m_Line

m_Lines

MyArray m_Lines

Class si.ijs.kt.clus.model.test.InverseNumericTest

class InverseNumericTest extends NumericTest implements Serializable

serialVersionUID:

1L

Class si.ijs.kt.clus.model.test.NodeTest

class NodeTest extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_BranchFreq

double[] m_BranchFreq

m_HeuristicValue

double m_HeuristicValue

m_UnknownBranch

boolean m_UnknownBranch

Deprecated.

m_UnknownFreq

double m_UnknownFreq

Class si.ijs.kt.clus.model.test.NominalTest

class NominalTest extends NodeTest implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Index

int[] m_Index

m_Sorted

double[] m_Sorted

m_Type

NominalAttrType m_Type

Class si.ijs.kt.clus.model.test.NumericTest

class NumericTest extends NodeTest implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Bound

double m_Bound

m_Type

NumericAttrType m_Type

Class si.ijs.kt.clus.model.test.SoftTest

class SoftTest extends NodeTest implements Serializable

serialVersionUID:

1L

Class si.ijs.kt.clus.model.test.SubsetTest

class SubsetTest extends NodeTest implements Serializable

serialVersionUID:

1L

Serialized Fields

m_MissIndex

int m_MissIndex

m_PosFreq

double m_PosFreq

m_Type

NominalAttrType m_Type

m_Values

int[] m_Values

Package si.ijs.kt.clus.statistic

Class si.ijs.kt.clus.statistic.BitVectorStat

class BitVectorStat extends ClusStatistic implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Bits

BitList m_Bits

m_Modified

boolean m_Modified

m_ParentStat

BitVectorStat m_ParentStat

Class si.ijs.kt.clus.statistic.ClassificationStat

class ClassificationStat extends ClusStatistic implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Attrs

NominalAttrType[] m_Attrs

m_ClassCounts

double[][] m_ClassCounts

m_data

RowData m_data

m_I

double m_I

m_MajorityClasses

int[] m_MajorityClasses

m_NbAttrs

int m_NbAttrs

m_NbTarget

int m_NbTarget

m_ParentStat

ClassificationStat m_ParentStat

m_SumValuesSpatial

double[] m_SumValuesSpatial

m_Thresholds

double[] m_Thresholds

m_Training

ClassificationStat m_Training

prevIndex

int prevIndex

previousSumW

double[] previousSumW

previousSumWR

double[] previousSumWR

previousSumWX

double[] previousSumWX

previousSumWXR

double[] previousSumWXR

previousSumWXX

double[] previousSumWXX

previousSumWXXR

double[] previousSumWXXR

previousSumX

double[] previousSumX

previousSumX2

double[] previousSumX2

previousSumX2R

double[] previousSumX2R

previousSumXR

double[] previousSumXR

splitIndex

int splitIndex

temp_data

RowData temp_data

Class si.ijs.kt.clus.statistic.ClusStatistic

class ClusStatistic extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_NbExamples

int m_NbExamples

m_Settings

Settings m_Settings

m_SumWeight

double m_SumWeight

The weighted sum of all examples

m_SumWeightLabeled

double m_SumWeightLabeled

m_SumWeights

double[] m_SumWeights

Class si.ijs.kt.clus.statistic.CombStat

class CombStat extends ClusStatistic implements Serializable

serialVersionUID:

1L

Serialized Fields

m_ClassStat

ClassificationStat m_ClassStat

m_RegStat

RegressionStat m_RegStat

m_StatManager

ClusStatManager m_StatManager

Class si.ijs.kt.clus.statistic.CombStatClassRegHier

class CombStatClassRegHier extends CombStat implements Serializable

serialVersionUID:

1L

Serialized Fields

m_HierStat

WHTDStatistic m_HierStat

Class si.ijs.kt.clus.statistic.GeneticDistanceStat

class GeneticDistanceStat extends BitVectorStat implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Attrs

NominalAttrType[] m_Attrs

m_NbTarget

int m_NbTarget

Class si.ijs.kt.clus.statistic.GISStat

class GISStat extends RegressionStat implements Serializable

serialVersionUID:

1L

Serialized Fields

m_NbTarget

int m_NbTarget

Deprecated.

m_SumSqValues

double[] m_SumSqValues

Deprecated.

m_SumValues

double[] m_SumValues

Deprecated.

m_Training

GISStat m_Training

Deprecated.

Class si.ijs.kt.clus.statistic.HierSingleLabelStat

class HierSingleLabelStat extends WHTDStatistic implements Serializable

serialVersionUID:

1L

Class si.ijs.kt.clus.statistic.HierSumPairwiseDistancesStat

class HierSumPairwiseDistancesStat extends WHTDStatistic implements Serializable

serialVersionUID:

1L

Serialized Fields

m_PairwiseDistStat

SumPairwiseDistancesStat m_PairwiseDistStat

Class si.ijs.kt.clus.statistic.KnnMlcStat

class KnnMlcStat extends ClassificationStat implements Serializable

Serialized Fields

m_IsInitialized

boolean m_IsInitialized

m_NeighbourhoodProbabilities

ArrayList<HashMap<Integer,double[][]>> m_NeighbourhoodProbabilities

The i-th element (hash map) of this list contains the following conditional probabilities for the i-th label. The corresponding hash-map's keys k are all considered numbers of neighbours. The corresponding value is an array p, where
p[b][n] = P(i-th label is relevant for n out of k neighbours | i-th label = b),
where b is either 0 (relevant) or 1 (irrelevant). The probabilities are estimated from the training set.

m_PriorLabelProbabilities

double[][] m_PriorLabelProbabilities

An array whose i-th element is an array [P(i-th label), P(not i-th label)]. The probabilities are estimated from the training set.

Class si.ijs.kt.clus.statistic.RegressionStat

class RegressionStat extends RegressionStatBase implements Serializable

serialVersionUID:

1L

Serialized Fields

INITIALIZE_PARTIAL_SUM

boolean INITIALIZE_PARTIAL_SUM

m_Data

RowData m_Data

m_HMTRHierarchy

ClusHMTRHierarchy m_HMTRHierarchy

m_I

double m_I

m_ParentStat

RegressionStat m_ParentStat

m_PrevIndex

int m_PrevIndex

m_PreviousSumW

double[] m_PreviousSumW

m_PreviousSumWR

double[] m_PreviousSumWR

m_PreviousSumWX

double[] m_PreviousSumWX

m_PreviousSumWXR

double[] m_PreviousSumWXR

m_PreviousSumWXX

double[] m_PreviousSumWXX

m_PreviousSumWXXR

double[] m_PreviousSumWXXR

m_PreviousSumX

double[] m_PreviousSumX

m_PreviousSumX2

double[] m_PreviousSumX2

m_PreviousSumX2R

double[] m_PreviousSumX2R

m_PreviousSumXR

double[] m_PreviousSumXR

m_SplitIndex

int m_SplitIndex

m_SumSqValues

double[] m_SumSqValues

m_SumValues

double[] m_SumValues

m_SumValuesSpatial

double[] m_SumValuesSpatial

m_TempData

RowData m_TempData

m_Training

RegressionStat m_Training

Class si.ijs.kt.clus.statistic.RegressionStatBase

class RegressionStatBase extends ClusStatistic implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Attrs

NumericAttrType[] m_Attrs

m_Means

double[] m_Means

m_NbAttrs

int m_NbAttrs

Class si.ijs.kt.clus.statistic.RegressionStatBinaryNomiss

class RegressionStatBinaryNomiss extends RegressionStatBase implements Serializable

serialVersionUID:

1L

Serialized Fields

m_ParentStat

WHTDStatistic m_ParentStat

m_SumValues

double[] m_SumValues

m_Training

WHTDStatistic m_Training

Class si.ijs.kt.clus.statistic.SumPairwiseDistancesStat

class SumPairwiseDistancesStat extends BitVectorStat implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Distance

ClusDistance m_Distance

m_Efficiency

SettingsTimeSeries.TimeSeriesPrototypeComplexity m_Efficiency

m_SVarS

double m_SVarS

Class si.ijs.kt.clus.statistic.WHTDStatistic

class WHTDStatistic extends RegressionStatBinaryNomiss implements Serializable

serialVersionUID:

1L

Serialized Fields

m_data

RowData m_data

m_DiscrMean

boolean[] m_DiscrMean

m_Distance

SettingsHMLC.HierarchyDistance m_Distance

m_Global

WHTDStatistic m_Global

m_Hier

ClassHierarchy m_Hier

m_P

double[] m_P

m_SigLevel

double m_SigLevel

m_Threshold

double m_Threshold

m_Thresholds

double[] m_Thresholds

m_Validation

WHTDStatistic m_Validation

m_Weights

double[] m_Weights

prevIndex

int prevIndex

previousSumW

double[] previousSumW

previousSumWR

double[] previousSumWR

previousSumWX

double[] previousSumWX

previousSumWXR

double[] previousSumWXR

previousSumWXX

double[] previousSumWXX

previousSumWXXR

double[] previousSumWXXR

previousSumX

double[] previousSumX

previousSumX2

double[] previousSumX2

previousSumX2R

double[] previousSumX2R

previousSumXR

double[] previousSumXR

splitIndex

int splitIndex

Package si.ijs.kt.clus.util.cloner

Exception Class si.ijs.kt.clus.util.cloner.CloningException

class CloningException extends RuntimeException implements Serializable

serialVersionUID:

3815175312001146867L

Package si.ijs.kt.clus.util.exception

Exception Class si.ijs.kt.clus.util.exception.ClusException

class ClusException extends Exception implements Serializable

serialVersionUID:

1L

Exception Class si.ijs.kt.clus.util.exception.ClusInvalidSettingsException

class ClusInvalidSettingsException extends ClusException implements Serializable

serialVersionUID:

1L

Package si.ijs.kt.clus.util.jeans.io.ini

Class si.ijs.kt.clus.util.jeans.io.ini.INIFile

class INIFile extends INIFileSection implements Serializable

serialVersionUID:

1L

Class si.ijs.kt.clus.util.jeans.io.ini.INIFileArray

class INIFileArray extends INIFileEntry implements Serializable

serialVersionUID:

1L

Serialized Fields

m_hValue

Vector m_hValue

m_iType

int m_iType

Class si.ijs.kt.clus.util.jeans.io.ini.INIFileBool

class INIFileBool extends INIFileEntry implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Value

boolean m_Value

Class si.ijs.kt.clus.util.jeans.io.ini.INIFileDouble

class INIFileDouble extends INIFileEntry implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Check

ValueCheck m_Check

m_Value

double m_Value

Class si.ijs.kt.clus.util.jeans.io.ini.INIFileEntry

class INIFileEntry extends INIFileNode implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Name

String m_Name

Class si.ijs.kt.clus.util.jeans.io.ini.INIFileEnum

class INIFileEnum extends INIFileEntry implements Serializable

serialVersionUID:

1L

Serialized Fields

m_ChosenOption

T extends Enum<T> m_ChosenOption

m_EnumType

Class<T extends Enum<T>> m_EnumType

Class si.ijs.kt.clus.util.jeans.io.ini.INIFileEnumList

class INIFileEnumList extends INIFileEntry implements Serializable

serialVersionUID:

1L

Serialized Fields

m_EnumType

Class<T extends Enum<T>> m_EnumType

m_Values

List<T extends Enum<T>> m_Values

Class si.ijs.kt.clus.util.jeans.io.ini.INIFileInt

class INIFileInt extends INIFileEntry implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Check

ValueCheck m_Check

m_Value

int m_Value

Class si.ijs.kt.clus.util.jeans.io.ini.INIFileNode

class INIFileNode extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Enabled

boolean m_Enabled

m_hName

String m_hName

m_hParent

INIFileNode m_hParent

Class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominal

class INIFileNominal extends INIFileEntry implements Serializable

serialVersionUID:

1L

Serialized Fields

m_IsSet

boolean m_IsSet

m_Type

NominalType m_Type

m_Values

int[] m_Values

Class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrDoubleOrVector

class INIFileNominalOrDoubleOrVector extends INIFileEntry implements Serializable

serialVersionUID:

1L

Serialized Fields

m_ArrayDouble

double[] m_ArrayDouble

m_ArrayNominal

int[] m_ArrayNominal

m_HasArrayIndexNames

boolean m_HasArrayIndexNames

m_Names

String[] m_Names

m_SingleDouble

double m_SingleDouble

m_SingleNominal

int m_SingleNominal

m_Type

NominalType m_Type

Class si.ijs.kt.clus.util.jeans.io.ini.INIFileNominalOrIntOrVector

class INIFileNominalOrIntOrVector extends INIFileEntry implements Serializable

serialVersionUID:

1L

Serialized Fields

m_ArrayInt

int[] m_ArrayInt

m_ArrayNominal

int[] m_ArrayNominal

m_SingleInt

int m_SingleInt

m_SingleNominal

int m_SingleNominal

m_Type

NominalType m_Type

Class si.ijs.kt.clus.util.jeans.io.ini.INIFileSection

class INIFileSection extends INIFileNode implements Serializable

serialVersionUID:

1L

Serialized Fields

m_hEntries

Hashtable<String,INIFileNode> m_hEntries

m_hEntryList

Vector<INIFileNode> m_hEntryList

m_Index

int m_Index

Class si.ijs.kt.clus.util.jeans.io.ini.INIFileSectionGroup

class INIFileSectionGroup extends INIFileNode implements Serializable

serialVersionUID:

1L

Serialized Fields

m_hPrototype

INIFileSection m_hPrototype

m_hSections

Vector m_hSections

Class si.ijs.kt.clus.util.jeans.io.ini.INIFileString

class INIFileString extends INIFileEntry implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Value

String m_Value

Class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrDouble

class INIFileStringOrDouble extends INIFileEntry implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Double

double m_Double

m_IsDouble

boolean m_IsDouble

m_Value

String m_Value

Class si.ijs.kt.clus.util.jeans.io.ini.INIFileStringOrInt

class INIFileStringOrInt extends INIFileEntry implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Int

int m_Int

m_IsInt

boolean m_IsInt

m_Value

String m_Value

Package si.ijs.kt.clus.util.jeans.io.range

Class si.ijs.kt.clus.util.jeans.io.range.DoubleRangeCheck

class DoubleRangeCheck extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_MaxDouble

double m_MaxDouble

m_MinDouble

double m_MinDouble

Class si.ijs.kt.clus.util.jeans.io.range.IntRangeCheck

class IntRangeCheck extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_MaxInt

int m_MaxInt

m_MinInt

int m_MinInt

Class si.ijs.kt.clus.util.jeans.io.range.NominalType

class NominalType extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Lookup

Hashtable m_Lookup

m_Names

String[] m_Names

Package si.ijs.kt.clus.util.jeans.list

Class si.ijs.kt.clus.util.jeans.list.BitList

class BitList extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Bits

long[] m_Bits

m_Size

int m_Size

Package si.ijs.kt.clus.util.jeans.math.matrix

Class si.ijs.kt.clus.util.jeans.math.matrix.MSymMatrix

class MSymMatrix extends MMatrix implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Data

double[][] m_Data

m_Size

int m_Size

Package si.ijs.kt.clus.util.jeans.tree

Class si.ijs.kt.clus.util.jeans.tree.MyNode

class MyNode extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Children

MyArray m_Children

m_Parent

Node m_Parent

Package si.ijs.kt.clus.util.jeans.util

Exception Class si.ijs.kt.clus.util.jeans.util.GeneralException

class GeneralException extends Exception implements Serializable

serialVersionUID:

1L

Serialized Fields

pos

int pos

Class si.ijs.kt.clus.util.jeans.util.IntervalCollection

class IntervalCollection extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_CrInt

int m_CrInt

m_Default

boolean m_Default

m_Done

boolean m_Done

m_Interval

ArrayList m_Interval

m_Total

int m_Total

Class si.ijs.kt.clus.util.jeans.util.MyArray

class MyArray extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Objects

Object[] m_Objects

m_Size

int m_Size

Package si.ijs.kt.clus.util.jeans.util.compound

Class si.ijs.kt.clus.util.jeans.util.compound.DoubleBoolean

class DoubleBoolean extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Boolean

boolean m_Boolean

m_Double

double m_Double

Class si.ijs.kt.clus.util.jeans.util.compound.DoubleBooleanCount

class DoubleBooleanCount extends DoubleBoolean implements Serializable

Serialized Fields

m_Count

int m_Count

Class si.ijs.kt.clus.util.jeans.util.compound.IndexedItem

class IndexedItem extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

m_Index

int m_Index

Package si.ijs.kt.clus.util.tools.textproc

Class si.ijs.kt.clus.util.tools.textproc.StopList

class StopList extends Hashtable<String,String> implements Serializable

serialVersionUID:

1L