Serialized Form

Package weka.classifiers.immune.affinity

Class weka.classifiers.immune.affinity.ClassAttributeDistance extends java.lang.Object implements Serializable

Class weka.classifiers.immune.affinity.NominalAttributeDistance extends java.lang.Object implements Serializable

Class weka.classifiers.immune.affinity.NumericAttributeDistance extends java.lang.Object implements Serializable

Class weka.classifiers.immune.affinity.UnsupportedAttributeDistance extends java.lang.Object implements Serializable

Package weka.classifiers.immune.airs

Class weka.classifiers.immune.airs.AIRS1 extends weka.classifiers.Classifier implements Serializable

Serialized Fields

seed

long seed

affinityThresholdScalar

double affinityThresholdScalar

clonalRate

double clonalRate

hypermutationRate

double hypermutationRate

mutationRate

double mutationRate

totalResources

double totalResources

stimulationValue

double stimulationValue

numInstancesAffinityThreshold

int numInstancesAffinityThreshold

arbInitialPoolSize

int arbInitialPoolSize

memInitialPoolSize

int memInitialPoolSize

knn

int knn

trainingSummary

java.lang.String trainingSummary

classifierSummary

java.lang.String classifierSummary

classifier

AISModelClassifier classifier

The model

Class weka.classifiers.immune.airs.AIRS2 extends weka.classifiers.Classifier implements Serializable

Serialized Fields

seed

long seed

affinityThresholdScalar

double affinityThresholdScalar

clonalRate

double clonalRate

hypermutationRate

double hypermutationRate

totalResources

double totalResources

stimulationValue

double stimulationValue

numInstancesAffinityThreshold

int numInstancesAffinityThreshold

memInitialPoolSize

int memInitialPoolSize

knn

int knn

trainingSummary

java.lang.String trainingSummary

classifierSummary

java.lang.String classifierSummary

classifier

AISModelClassifier classifier

The model

Class weka.classifiers.immune.airs.AIRS2Parallel extends weka.classifiers.Classifier implements Serializable

Serialized Fields

seed

long seed

affinityThresholdScalar

double affinityThresholdScalar

clonalRate

double clonalRate

hypermutationRate

double hypermutationRate

totalResources

double totalResources

stimulationValue

double stimulationValue

numInstancesAffinityThreshold

int numInstancesAffinityThreshold

memInitialPoolSize

int memInitialPoolSize

knn

int knn

numThreads

int numThreads

mergeMode

int mergeMode

trainingSummary

java.lang.String trainingSummary

classifierSummary

java.lang.String classifierSummary

classifier

AISModelClassifier classifier

The model

Package weka.classifiers.immune.airs.algorithm

Class weka.classifiers.immune.airs.algorithm.AffinityFunction extends DistanceFunction implements Serializable

Class weka.classifiers.immune.airs.algorithm.AISModelClassifier extends java.lang.Object implements Serializable

Serialized Fields

kNumNeighbours

int kNumNeighbours

normaliser

weka.filters.unsupervised.attribute.Normalize normaliser

model

CellPool model

affinityFunction

AffinityFunction affinityFunction

Class weka.classifiers.immune.airs.algorithm.Cell extends java.lang.Object implements Serializable

Serialized Fields

attributes

double[] attributes

classIndex

int classIndex

usage

long usage

affinity

double affinity

numResources

double numResources

number of resources held by the cell

stimulation

double stimulation

current stimulation value

Class weka.classifiers.immune.airs.algorithm.CellPool extends java.lang.Object implements Serializable

Serialized Fields

cells

java.util.LinkedList<E> cells

Class weka.classifiers.immune.airs.algorithm.DistanceFunction extends java.lang.Object implements Serializable

Serialized Fields

distanceMeasures

AttributeDistance[] distanceMeasures

classIndex

int classIndex

maxDistance

double maxDistance

minmax

double[][] minmax

Package weka.classifiers.immune.airs.algorithm.classification

Class weka.classifiers.immune.airs.algorithm.classification.MajorityVote extends AISModelClassifier implements Serializable

Package weka.classifiers.immune.clonalg

Class weka.classifiers.immune.clonalg.Antibody extends java.lang.Object implements Serializable

Serialized Fields

attributes

double[] attributes

classIndex

int classIndex

affinity

double affinity

Class weka.classifiers.immune.clonalg.CLONALG extends weka.classifiers.Classifier implements Serializable

Serialized Fields

clonalFactor

double clonalFactor

antibodyPoolSize

int antibodyPoolSize

selectionPoolSize

int selectionPoolSize

totalReplacement

int totalReplacement

numGenerations

int numGenerations

seed

long seed

remainderPoolRatio

double remainderPoolRatio

algorithm

CLONALGAlgorithm algorithm

Class weka.classifiers.immune.clonalg.CLONALGAlgorithm extends java.lang.Object implements Serializable

Serialized Fields

clonalFactor

double clonalFactor

antibodyPoolSize

int antibodyPoolSize

selectionPoolSize

int selectionPoolSize

replacementPoolSize

int replacementPoolSize

numGenerations

int numGenerations

seed

long seed

remainderPoolRatio

double remainderPoolRatio

memoryPool

Antibody[] memoryPool

remainderPool

Antibody[] remainderPool

rand

java.util.Random rand

affinityFunction

DistanceFunction affinityFunction

Class weka.classifiers.immune.clonalg.CSCA extends weka.classifiers.Classifier implements Serializable

Serialized Fields

initialPopulationSize

int initialPopulationSize

totalGenerations

int totalGenerations

seed

long seed

clonalScaleFactor

double clonalScaleFactor

minimumFitnessThreshold

double minimumFitnessThreshold

kNN

int kNN

numPartitions

int numPartitions

algorithm

CSCAAlgorithm algorithm

trainingSummary

java.lang.String trainingSummary

Class weka.classifiers.immune.clonalg.CSCAAlgorithm extends java.lang.Object implements Serializable

Serialized Fields

initialPopulationSize

int initialPopulationSize

totalGenerations

int totalGenerations

seed

long seed

alpha

double alpha

eta

double eta

kNN

int kNN

numPartitions

int numPartitions

debug

boolean debug

memoryPool

java.util.LinkedList<E> memoryPool

rand

java.util.Random rand

affinityFunction

DistanceFunction affinityFunction

partitions

weka.core.Instances[] partitions

partitionIndex

int partitionIndex

antibodiesPrunedPerGeneration

double[] antibodiesPrunedPerGeneration

populationSizePerGeneration

double[] populationSizePerGeneration

antibodiesWithoutErrorPerGeneration

double[] antibodiesWithoutErrorPerGeneration

antibodyFitnessPerGeneration

double[] antibodyFitnessPerGeneration

meanAntibodySwitchesPerGeneration

double[] meanAntibodySwitchesPerGeneration

selectionSetSizePerGeneration

double[] selectionSetSizePerGeneration

trainingClassificationAccuracyPerGeneration

double[] trainingClassificationAccuracyPerGeneration

randomInsertionsPerGeneration

double[] randomInsertionsPerGeneration

clonesPerGeneration

double[] clonesPerGeneration

generationsCompleted

int generationsCompleted

Class weka.classifiers.immune.clonalg.CSCAAntibody extends Antibody implements Serializable

Serialized Fields

numClasses

int numClasses

classCounts

long[] classCounts

fitness

double fitness

Class weka.classifiers.immune.clonalg.DistanceFunction extends java.lang.Object implements Serializable

Serialized Fields

distanceMeasures

AttributeDistance[] distanceMeasures

classIndex

int classIndex

maxDistance

double maxDistance

minmax

double[][] minmax

Package weka.classifiers.immune.immunos

Class weka.classifiers.immune.immunos.Antibody extends java.lang.Object implements Serializable

Serialized Fields

attributes

double[] attributes

classIndex

int classIndex

affinity

double affinity

Class weka.classifiers.immune.immunos.DistanceFunction extends java.lang.Object implements Serializable

Serialized Fields

distanceMeasures

AttributeDistance[] distanceMeasures

classIndex

int classIndex

maxDistance

double maxDistance

minmax

double[][] minmax

Class weka.classifiers.immune.immunos.Immunos1 extends weka.classifiers.Classifier implements Serializable

Serialized Fields

algorithm

Immunos1Algorithm algorithm

normaliser

weka.filters.unsupervised.instance.Normalize normaliser

Class weka.classifiers.immune.immunos.Immunos1Algorithm extends java.lang.Object implements Serializable

Serialized Fields

affinityFunction

DistanceFunction affinityFunction

groups

weka.core.Instances[] groups

Class weka.classifiers.immune.immunos.Immunos2 extends weka.classifiers.Classifier implements Serializable

Serialized Fields

algorithm

Immunos2Algorithm algorithm

normaliser

weka.filters.unsupervised.instance.Normalize normaliser

Class weka.classifiers.immune.immunos.Immunos2Algorithm extends Immunos1Algorithm implements Serializable

Serialized Fields

exemplars

double[][] exemplars

Class weka.classifiers.immune.immunos.Immunos99 extends weka.classifiers.Classifier implements Serializable

Serialized Fields

totalGenerations

int totalGenerations

seed

long seed

minimumFitnessThreshold

double minimumFitnessThreshold

seedPopulationPercentage

double seedPopulationPercentage

algorithm

Immunos99Algorithm algorithm

trainingSummary

java.lang.String trainingSummary

normaliser

weka.filters.unsupervised.instance.Normalize normaliser

totalTrainingInstances

int totalTrainingInstances

Class weka.classifiers.immune.immunos.Immunos99Algorithm extends java.lang.Object implements Serializable

Serialized Fields

fitnessComparator

java.util.Comparator<T> fitnessComparator

totalGenerations

int totalGenerations

seed

long seed

eta

double eta

debug

boolean debug

seedPopulationPercentage

double seedPopulationPercentage

memoryPool

java.util.LinkedList<E> memoryPool

antibodyGroups

java.util.LinkedList<E>[] antibodyGroups

stock

java.util.LinkedList<E>[] stock

rand

java.util.Random rand

affinityFunction

DistanceFunction affinityFunction

antibodiesPrunedPerGeneration

double[][] antibodiesPrunedPerGeneration

populationSizePerGeneration

double[][] populationSizePerGeneration

antibodyFitnessPerGeneration

double[][] antibodyFitnessPerGeneration

clonesPerGeneration

double[][] clonesPerGeneration

totalFinalPrune

double[] totalFinalPrune

Class weka.classifiers.immune.immunos.Immunos99Algorithm.AntibodyFitnessComparator extends java.lang.Object implements Serializable

Class weka.classifiers.immune.immunos.Immunos99Antibody extends Antibody implements Serializable

Serialized Fields

numClasses

int numClasses

classCounts

double[] classCounts

fitness

double fitness

Package weka.classifiers.neural.common

Class weka.classifiers.neural.common.CommonNeuralAlgorithmAncestor extends java.lang.Object implements Serializable

Serialized Fields

transferFunction

TransferFunction transferFunction

Transfer function

rand

RandomWrapper rand

Random number generator

Class weka.classifiers.neural.common.RandomWrapper extends java.lang.Object implements Serializable

Serialized Fields

seed

long seed

rand

java.util.Random rand

Class weka.classifiers.neural.common.SimpleNeuron extends java.lang.Object implements Serializable

Serialized Fields

biasInputValue

double biasInputValue

inputWeights

double[] inputWeights

dEwE

double[] dEwE

lastWeightDeltas

double[] lastWeightDeltas

biasIndex

int biasIndex

Class weka.classifiers.neural.common.WekaAlgorithmAncestor extends weka.classifiers.Classifier implements Serializable

Serialized Fields

model

NeuralModel model

rand

RandomWrapper rand

randomNumberSeed

long randomNumberSeed

learningRate

double learningRate

learningRateFunction

int learningRateFunction

biasInput

double biasInput

transferFunction

int transferFunction

trainingMode

int trainingMode

trainingIterations

int trainingIterations

numInstances

int numInstances

numClasses

int numClasses

numAttributes

int numAttributes

classIsNominal

boolean classIsNominal

Package weka.classifiers.neural.common.learning

Class weka.classifiers.neural.common.learning.InverseLearningRate extends LearningRateKernel implements Serializable

Class weka.classifiers.neural.common.learning.LearningRateKernel extends java.lang.Object implements Serializable

Serialized Fields

initialLearningRate

double initialLearningRate

totalIterations

int totalIterations

Class weka.classifiers.neural.common.learning.LinearLearningRate extends LearningRateKernel implements Serializable

Class weka.classifiers.neural.common.learning.StaticLearningRate extends LearningRateKernel implements Serializable

Package weka.classifiers.neural.common.training

Class weka.classifiers.neural.common.training.BatchTrainer extends NeuralTrainer implements Serializable

Class weka.classifiers.neural.common.training.NeuralTrainer extends java.lang.Object implements Serializable

Serialized Fields

rand

RandomWrapper rand

Class weka.classifiers.neural.common.training.OnlineTrainer extends NeuralTrainer implements Serializable

Package weka.classifiers.neural.common.transfer

Class weka.classifiers.neural.common.transfer.GaussianTransferFunction extends TransferFunction implements Serializable

Class weka.classifiers.neural.common.transfer.HyperbolicTangentTransferFunction extends TransferFunction implements Serializable

Class weka.classifiers.neural.common.transfer.SigmoidTransferFunction extends TransferFunction implements Serializable

Class weka.classifiers.neural.common.transfer.SignTransferFunction extends TransferFunction implements Serializable

Class weka.classifiers.neural.common.transfer.StepTransferFunction extends TransferFunction implements Serializable

Class weka.classifiers.neural.common.transfer.TransferFunction extends java.lang.Object implements Serializable

Package weka.classifiers.neural.lvq

Class weka.classifiers.neural.lvq.AlgorithmAncestor extends weka.classifiers.Classifier implements Serializable

Serialized Fields

epochEventListeners

java.util.LinkedList<E> epochEventListeners

initialisationMode

int initialisationMode

useVoting

boolean useVoting

seed

long seed

numClasses

int numClasses

numAttributes

int numAttributes

initialisationTime

long initialisationTime

trainingTime

long trainingTime

trainingBmuUsage

int[][] trainingBmuUsage

totalTrainingBmuHits

int totalTrainingBmuHits

random

RandomWrapper random

model

CommonModel model

modelHasBeenPreInitialised

boolean modelHasBeenPreInitialised

prepareBmuStatistis

boolean prepareBmuStatistis

trainingQuantisationError

double trainingQuantisationError

trainingAvgQuantisationError

double trainingAvgQuantisationError

Class weka.classifiers.neural.lvq.HierarchalLvq extends weka.classifiers.Classifier implements Serializable

Serialized Fields

numClasses

int numClasses

Total number of classes in dataset

numAttributes

int numAttributes

Total number of attributes in dataset

baseAlgorithm

AlgorithmAncestor baseAlgorithm

Base LVQ model used for clustering

subModelType

weka.classifiers.Classifier subModelType

Type and configuration of classifier to use for sub models

hitPercentage

double hitPercentage

Percentage of data running through a bmu for it to be considered a cluster

errorPercentage

double errorPercentage

Percentage of error a bmu must exibit to be considered a cluster

subModels

weka.classifiers.Classifier[] subModels

Collection of sub models used instead of BMU's, indexed on bmu id

subModelTrainingData

weka.core.Instances[] subModelTrainingData

Training data used for training sub models, indexed on bmu id

subModelUsed

boolean[] subModelUsed

Whether or not a sub model is used for each bmu id

trainingBmuUsage

int[][] trainingBmuUsage

Matrix of bmu usage calculated after base model construction, using training data

totalTrainingBmuHits

long totalTrainingBmuHits

Total number of bmu hits (sum of training bmu matrix)

subModelAccuracy

double[] subModelAccuracy

Accuracy of sub models on training data

Class weka.classifiers.neural.lvq.Lvq1 extends LvqAlgorithmAncestor implements Serializable

Class weka.classifiers.neural.lvq.Lvq2_1 extends LvqAlgorithmAncestor implements Serializable

Serialized Fields

windowSize

double windowSize

Window size value

Class weka.classifiers.neural.lvq.Lvq3 extends LvqAlgorithmAncestor implements Serializable

Serialized Fields

windowSize

double windowSize

Window size value

epsilon

double epsilon

Epsilon value

Class weka.classifiers.neural.lvq.LvqAlgorithmAncestor extends AlgorithmAncestor implements Serializable

Serialized Fields

totalCodebookVectors

int totalCodebookVectors

trainingIterations

int trainingIterations

learningFunction

int learningFunction

learningRate

double learningRate

Class weka.classifiers.neural.lvq.MultipassLvq extends weka.classifiers.Classifier implements Serializable

Serialized Fields

algorithms

LvqAlgorithmAncestor[] algorithms

trainingTimes

long[] trainingTimes

modelIsInitialised

boolean modelIsInitialised

Class weka.classifiers.neural.lvq.MultipassSom extends weka.classifiers.Classifier implements Serializable

Serialized Fields

algorithms

Som[] algorithms

trainingTimes

long[] trainingTimes

modelIsInitialised

boolean modelIsInitialised

Class weka.classifiers.neural.lvq.Olvq1 extends LvqAlgorithmAncestor implements Serializable

Class weka.classifiers.neural.lvq.Olvq3 extends Lvq3 implements Serializable

Class weka.classifiers.neural.lvq.Som extends AlgorithmAncestor implements Serializable

Serialized Fields

mapWidth

int mapWidth

mapHeight

int mapHeight

mapTopology

int mapTopology

neighbourhoodFunction

int neighbourhoodFunction

learningFunction

int learningFunction

neighbourhoodSize

int neighbourhoodSize

learningRate

double learningRate

trainingIterations

int trainingIterations

supervised

boolean supervised

Package weka.classifiers.neural.lvq.algorithm

Class weka.classifiers.neural.lvq.algorithm.CommonAncestor extends java.lang.Object implements Serializable

Serialized Fields

learningKernel

LearningRateKernel learningKernel

model

CommonModel model

rand

RandomWrapper rand

supervised

boolean supervised

epochEventListeners

java.util.LinkedList<E> epochEventListeners

Class weka.classifiers.neural.lvq.algorithm.Lvq1Algorithm extends LVQAlgorithmAncestor implements Serializable

Class weka.classifiers.neural.lvq.algorithm.Lvq2_1Algorithm extends Lvq1Algorithm implements Serializable

Serialized Fields

windowSize

double windowSize

Class weka.classifiers.neural.lvq.algorithm.Lvq3Algorithm extends Lvq2_1Algorithm implements Serializable

Serialized Fields

epsilonRate

double epsilonRate

Class weka.classifiers.neural.lvq.algorithm.LVQAlgorithmAncestor extends CommonAncestor implements Serializable

Class weka.classifiers.neural.lvq.algorithm.Olvq1Algorithm extends LVQAlgorithmAncestor implements Serializable

Class weka.classifiers.neural.lvq.algorithm.Olvq3Algorithm extends Lvq3Algorithm implements Serializable

Class weka.classifiers.neural.lvq.algorithm.SomAlgorithm extends CommonAncestor implements Serializable

Serialized Fields

neighbourhoodKernel

NeighbourhoodKernel neighbourhoodKernel

Package weka.classifiers.neural.lvq.model

Class weka.classifiers.neural.lvq.model.CodebookVector extends java.lang.Object implements Serializable

Serialized Fields

codebookId

int codebookId

attributes

double[] attributes

Vecotrs attribute values

classAttributeIndex

int classAttributeIndex

Index of the class attribute

distance

double distance

Distance from a specific data instance at a moment in time

learningRate

double learningRate

Used in cases where codebook vectors can have their own individual learning rate

bmuCorrectCount

int bmuCorrectCount

The number of times that the codebook vector is the bmu

bmuIncorrectCount

int bmuIncorrectCount

voting

boolean voting

classHitDistribution

int[] classHitDistribution

Class weka.classifiers.neural.lvq.model.CommonModel extends java.lang.Object implements Serializable

Serialized Fields

codebookCollection

CodebookVector[] codebookCollection

classLabels

java.lang.String[] classLabels

distanceMeasures

AttributeDistance[] distanceMeasures

Class weka.classifiers.neural.lvq.model.LvqModel extends CommonModel implements Serializable

Class weka.classifiers.neural.lvq.model.SomModel extends CommonModel implements Serializable

Serialized Fields

neighbourhoodDistance

NeighbourhoodDistance neighbourhoodDistance

mapWidth

int mapWidth

mapHeight

int mapHeight

Package weka.classifiers.neural.lvq.neighborhood

Class weka.classifiers.neural.lvq.neighborhood.BubbleNeighbourhood extends NeighbourhoodKernel implements Serializable

Class weka.classifiers.neural.lvq.neighborhood.GaussianNeighbourhood extends NeighbourhoodKernel implements Serializable

Class weka.classifiers.neural.lvq.neighborhood.NeighbourhoodKernel extends java.lang.Object implements Serializable

Serialized Fields

initialNeighbourhoodSize

double initialNeighbourhoodSize

totalIterations

int totalIterations

Package weka.classifiers.neural.lvq.topology

Class weka.classifiers.neural.lvq.topology.HexagonalNeighbourhoodDistance extends java.lang.Object implements Serializable

Class weka.classifiers.neural.lvq.topology.RectangleNeighborhoodDistance extends java.lang.Object implements Serializable

Package weka.classifiers.neural.lvq.vectordistance

Class weka.classifiers.neural.lvq.vectordistance.ClassDistance extends java.lang.Object implements Serializable

Class weka.classifiers.neural.lvq.vectordistance.NominalDistance extends java.lang.Object implements Serializable

Class weka.classifiers.neural.lvq.vectordistance.NumericDistance extends java.lang.Object implements Serializable

Class weka.classifiers.neural.lvq.vectordistance.OtherDistance extends java.lang.Object implements Serializable

Package weka.classifiers.neural.multilayerperceptron

Class weka.classifiers.neural.multilayerperceptron.BackPropagation extends WekaAlgorithmAncestor implements Serializable

Serialized Fields

momentum

double momentum

weightDecay

double weightDecay

hiddenLayer1

int hiddenLayer1

hiddenLayer2

int hiddenLayer2

hiddenLayer3

int hiddenLayer3

Class weka.classifiers.neural.multilayerperceptron.BoldDriverBackPropagation extends WekaAlgorithmAncestor implements Serializable

Serialized Fields

momentum

double momentum

weightDecay

double weightDecay

hiddenLayer1

int hiddenLayer1

hiddenLayer2

int hiddenLayer2

hiddenLayer3

int hiddenLayer3

errorIncreaseAdjustment

double errorIncreaseAdjustment

errorDecreaseAdjustment

double errorDecreaseAdjustment

Package weka.classifiers.neural.multilayerperceptron.algorithm

Class weka.classifiers.neural.multilayerperceptron.algorithm.BackPropagationAlgorithm extends CommonNeuralAlgorithmAncestor implements Serializable

Serialized Fields

neurons

SimpleNeuron[][] neurons

numInputs

int numInputs

activations

double[][] activations

outputs

double[][] outputs

deltas

double[][] deltas

momentum

double momentum

weightDecay

double weightDecay

learningRateFunction

LearningRateKernel learningRateFunction

Class weka.classifiers.neural.multilayerperceptron.algorithm.BoldDriverBackPropagationAlgorithm extends BackPropagationAlgorithm implements Serializable

Serialized Fields

previousErrorValue

double previousErrorValue

previousErrorWasIncrease

boolean previousErrorWasIncrease

errorDecreaseAdjustment

double errorDecreaseAdjustment

errorIncreaseAdjustment

double errorIncreaseAdjustment

internalLearningRate

double internalLearningRate

Package weka.classifiers.neural.singlelayerperceptron

Class weka.classifiers.neural.singlelayerperceptron.Perceptron extends WekaAlgorithmAncestor implements Serializable

Class weka.classifiers.neural.singlelayerperceptron.WidrowHoff extends Perceptron implements Serializable

Package weka.classifiers.neural.singlelayerperceptron.algorithm

Class weka.classifiers.neural.singlelayerperceptron.algorithm.PerceptronAlgorithm extends SLPAlgorithmAncestor implements Serializable

Class weka.classifiers.neural.singlelayerperceptron.algorithm.SLPAlgorithmAncestor extends CommonNeuralAlgorithmAncestor implements Serializable

Serialized Fields

neurons

SimpleNeuron[] neurons

learningRateFunction

LearningRateKernel learningRateFunction

Class weka.classifiers.neural.singlelayerperceptron.algorithm.WidrowHoffAlgorithm extends SLPAlgorithmAncestor implements Serializable

Package weka.filters.unsupervised.attribute

Class weka.filters.unsupervised.attribute.AbstractTimeSeries extends weka.filters.Filter implements Serializable

Serialized Fields

m_SelectedCols

weka.core.Range m_SelectedCols

m_FillWithMissing

boolean m_FillWithMissing

m_InstanceRange

int m_InstanceRange

m_History

weka.core.Queue m_History

Class weka.filters.unsupervised.attribute.Add extends weka.filters.Filter implements Serializable

Serialized Fields

m_AttributeType

int m_AttributeType

m_Name

java.lang.String m_Name

m_Insert

weka.core.SingleIndex m_Insert

m_Labels

weka.core.FastVector m_Labels

Class weka.filters.unsupervised.attribute.AddCluster extends weka.filters.Filter implements Serializable

Serialized Fields

m_Clusterer

weka.clusterers.Clusterer m_Clusterer

m_IgnoreAttributesRange

weka.core.Range m_IgnoreAttributesRange

m_removeAttributes

weka.filters.Filter m_removeAttributes

Class weka.filters.unsupervised.attribute.AddExpression extends weka.filters.Filter implements Serializable

Serialized Fields

m_infixExpression

java.lang.String m_infixExpression

m_operatorStack

java.util.Stack<E> m_operatorStack

m_postFixExpVector

java.util.Vector<E> m_postFixExpVector

m_signMod

boolean m_signMod

m_previousTok

java.lang.String m_previousTok

m_attributeName

java.lang.String m_attributeName

m_Debug

boolean m_Debug

Class weka.filters.unsupervised.attribute.AddNoise extends weka.filters.Filter implements Serializable

Serialized Fields

m_AttIndex

weka.core.SingleIndex m_AttIndex

m_UseMissing

boolean m_UseMissing

m_Percent

int m_Percent

m_RandomSeed

int m_RandomSeed

Class weka.filters.unsupervised.attribute.ChangeDateFormat extends weka.filters.Filter implements Serializable

Serialized Fields

m_AttIndex

weka.core.SingleIndex m_AttIndex

m_DateFormat

java.text.SimpleDateFormat m_DateFormat

m_OutputAttribute

weka.core.Attribute m_OutputAttribute

Class weka.filters.unsupervised.attribute.ClusterMembership extends weka.filters.Filter implements Serializable

Serialized Fields

m_clusterer

weka.clusterers.DensityBasedClusterer m_clusterer

m_clusterers

weka.clusterers.DensityBasedClusterer[] m_clusterers

m_ignoreAttributesRange

weka.core.Range m_ignoreAttributesRange

m_removeAttributes

weka.filters.Filter m_removeAttributes

m_priors

double[] m_priors

Class weka.filters.unsupervised.attribute.Copy extends weka.filters.Filter implements Serializable

Serialized Fields

m_CopyCols

weka.core.Range m_CopyCols

m_SelectedAttributes

int[] m_SelectedAttributes

m_InputStringIndex

int[] m_InputStringIndex

Class weka.filters.unsupervised.attribute.Discretize extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable

Serialized Fields

m_DiscretizeCols

weka.core.Range m_DiscretizeCols

m_NumBins

int m_NumBins

m_DesiredWeightOfInstancesPerInterval

double m_DesiredWeightOfInstancesPerInterval

m_CutPoints

double[][] m_CutPoints

m_MakeBinary

boolean m_MakeBinary

m_FindNumBins

boolean m_FindNumBins

m_UseEqualFrequency

boolean m_UseEqualFrequency

m_DefaultCols

java.lang.String m_DefaultCols

Class weka.filters.unsupervised.attribute.FirstOrder extends weka.filters.Filter implements Serializable

Serialized Fields

m_DeltaCols

weka.core.Range m_DeltaCols

Class weka.filters.unsupervised.attribute.MakeIndicator extends weka.filters.Filter implements Serializable

Serialized Fields

m_AttIndex

weka.core.SingleIndex m_AttIndex

m_ValIndex

weka.core.Range m_ValIndex

m_Numeric

boolean m_Numeric

Class weka.filters.unsupervised.attribute.MergeTwoValues extends weka.filters.Filter implements Serializable

Serialized Fields

m_AttIndex

weka.core.SingleIndex m_AttIndex

m_FirstIndex

weka.core.SingleIndex m_FirstIndex

m_SecondIndex

weka.core.SingleIndex m_SecondIndex

Class weka.filters.unsupervised.attribute.NominalToBinary extends weka.filters.Filter implements Serializable

Serialized Fields

m_Columns

weka.core.Range m_Columns

m_Indices

int[][] m_Indices

m_Numeric

boolean m_Numeric

Class weka.filters.unsupervised.attribute.Normalize extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable

Serialized Fields

m_MinArray

double[] m_MinArray

m_MaxArray

double[] m_MaxArray

Class weka.filters.unsupervised.attribute.NormalizeMidpointZero extends weka.filters.Filter implements Serializable

Serialized Fields

m_MinArray

double[] m_MinArray

The minimum values for numeric attributes.

m_MaxArray

double[] m_MaxArray

The maximum values for numeric attributes.

Class weka.filters.unsupervised.attribute.NumericToBinary extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable

Class weka.filters.unsupervised.attribute.NumericTransform extends weka.filters.Filter implements Serializable

Serialized Fields

m_Cols

weka.core.Range m_Cols

m_Class

java.lang.String m_Class

m_Method

java.lang.String m_Method

Class weka.filters.unsupervised.attribute.Obfuscate extends weka.filters.Filter implements Serializable

Class weka.filters.unsupervised.attribute.PKIDiscretize extends weka.filters.unsupervised.attribute.Discretize implements Serializable

Class weka.filters.unsupervised.attribute.PotentialClassIgnorer extends weka.filters.Filter implements Serializable

Serialized Fields

m_IgnoreClass

boolean m_IgnoreClass

m_ClassIndex

int m_ClassIndex

Class weka.filters.unsupervised.attribute.RandomProjection extends weka.filters.Filter implements Serializable

Serialized Fields

m_k

int m_k

m_percent

double m_percent

m_useGaussian

boolean m_useGaussian

m_distribution

int m_distribution

m_replaceMissing

boolean m_replaceMissing

m_OutputFormatDefined

boolean m_OutputFormatDefined

ntob

weka.filters.Filter ntob

replaceMissing

weka.filters.Filter replaceMissing

m_rndmSeed

long m_rndmSeed

rmatrix

double[][] rmatrix

r

java.util.Random r

Class weka.filters.unsupervised.attribute.Remove extends weka.filters.Filter implements Serializable

Serialized Fields

m_SelectCols

weka.core.Range m_SelectCols

m_SelectedAttributes

int[] m_SelectedAttributes

m_InputStringIndex

int[] m_InputStringIndex

Class weka.filters.unsupervised.attribute.RemoveType extends weka.filters.Filter implements Serializable

Serialized Fields

m_attributeFilter

weka.filters.unsupervised.attribute.Remove m_attributeFilter

m_attTypeToDelete

int m_attTypeToDelete

m_invert

boolean m_invert

Class weka.filters.unsupervised.attribute.RemoveUseless extends weka.filters.Filter implements Serializable

Serialized Fields

m_removeFilter

weka.filters.unsupervised.attribute.Remove m_removeFilter

m_maxVariancePercentage

double m_maxVariancePercentage

Class weka.filters.unsupervised.attribute.ReplaceMissingValues extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable

Serialized Fields

m_ModesAndMeans

double[] m_ModesAndMeans

Class weka.filters.unsupervised.attribute.Standardize extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable

Serialized Fields

m_Means

double[] m_Means

m_StdDevs

double[] m_StdDevs

Class weka.filters.unsupervised.attribute.StringToNominal extends weka.filters.Filter implements Serializable

Serialized Fields

m_AttIndex

weka.core.SingleIndex m_AttIndex

Class weka.filters.unsupervised.attribute.StringToWordVector extends weka.filters.Filter implements Serializable

Serialized Fields

delimiters

java.lang.String delimiters

m_SelectedRange

weka.core.Range m_SelectedRange

m_Dictionary

java.util.TreeMap<K,V> m_Dictionary

m_OutputCounts

boolean m_OutputCounts

m_Prefix

java.lang.String m_Prefix

docsCounts

int[] docsCounts

numInstances

int numInstances

avgDocLength

double avgDocLength

m_WordsToKeep

int m_WordsToKeep

m_TFTransform

boolean m_TFTransform

m_normalizeDocLength

boolean m_normalizeDocLength

m_IDFTransform

boolean m_IDFTransform

m_onlyAlphabeticTokens

boolean m_onlyAlphabeticTokens

m_lowerCaseTokens

boolean m_lowerCaseTokens

m_useStoplist

boolean m_useStoplist

Class weka.filters.unsupervised.attribute.SwapValues extends weka.filters.Filter implements Serializable

Serialized Fields

m_AttIndex

weka.core.SingleIndex m_AttIndex

m_FirstIndex

weka.core.SingleIndex m_FirstIndex

m_SecondIndex

weka.core.SingleIndex m_SecondIndex

Class weka.filters.unsupervised.attribute.TimeSeriesDelta extends weka.filters.unsupervised.attribute.TimeSeriesTranslate implements Serializable

Class weka.filters.unsupervised.attribute.TimeSeriesTranslate extends weka.filters.unsupervised.attribute.AbstractTimeSeries implements Serializable