String defaultFileExtension
boolean isOutputFile
boolean isSet
double currentVal
double defaultVal
double minVal
double maxVal
int currentVal
int defaultVal
int minVal
int maxVal
ClassOption editedOption
JTextField textField
JButton editButton
HashSet<E> changeListeners
ClassOptionWithNames editedOption
JTextField textField
JButton editButton
HashSet<E> changeListeners
FileOption editedOption
JTextField textField
JButton browseButton
FlagOption editedOption
FloatOption editedOption
JSpinner spinner
JSlider slider
MultiChoiceOption editedOption
Option editedOption
boolean isNominal
boolean isNumeric
boolean isDate
SimpleDateFormat m_DateFormat
String name
List<E> attributeValues
Map<K,V> valuesStringAttribute
double[] attributeValues
double weight
String serialNumber
int age
double[] predictedVotes
InstanceData instanceData
InstancesHeader instanceHeader
String relationName
AttributesInformation attributesInformation
int classIndex
Range range
InstanceInformation instanceInformation
List<E> instances
ArffLoader arff
HashMap<K,V> hsAttributesIndices
int[] indicesRelevants
int[] indicesIrrelevants
DoubleVector[] prediction
int start
int end
int upperLimit
String rangeText
weka.core.Instances wekaInstanceInformation
double[] attributeValues
int[] indexValues
int numberAttributes
Instances samoaInstanceInformation
InstancesHeader modelContext
double trainingWeightSeenByModel
int randomSeed
IntOption randomSeedOption
Random classifierRandom
double downSampleRatio
ClassOption baseLearnerOption
ClassOption budgetManagerOption
Classifier classifier
BudgetManager budgetManager
ClassOption baseLearnerOption
MultiChoiceOption activeLearningStrategyOption
FloatOption budgetOption
FloatOption fixedThresholdOption
FloatOption stepOption
FloatOption numInstancesInitOption
Classifier classifier
int lastLabelAcq
int costLabeling
int iterationControl
double newThreshold
double maxPosterior
double accuracyBaseLearner
double outPosterior
FloatOption budgetOption
int acquisitionReport
DoubleVector observedClassDistribution
AutoExpandVector<T> attributeObservers
FloatOption laplaceCorrectionOption
double[] m_classTotals
Instances m_headerInfo
int m_numClasses
double[] m_probOfClass
DoubleVector[] m_wordTotalForClass
boolean reset
InstanceConditionalTest splitTest
double[][] resultingClassDistributions
double merit
double cut_point
DoubleVector classCountsLeft
DoubleVector classCountsRight
BinaryTreeNumericAttributeClassObserver.Node left
BinaryTreeNumericAttributeClassObserver.Node right
double cut_point
double[] lessThan
double[] greaterThan
BinaryTreeNumericAttributeClassObserverRegression.Node left
BinaryTreeNumericAttributeClassObserverRegression.Node right
FIMTDDNumericAttributeClassObserver.Node root
double sumTotalLeft
double sumTotalRight
double sumSqTotalLeft
double sumSqTotalRight
double countRightTotal
double countLeftTotal
double cut_point
DoubleVector leftStatistics
DoubleVector rightStatistics
FIMTDDNumericAttributeClassObserver.Node left
FIMTDDNumericAttributeClassObserver.Node right
DoubleVector minValueObservedPerClass
DoubleVector maxValueObservedPerClass
AutoExpandVector<T> attValDistPerClass
IntOption numBinsOption
AutoExpandVector<T> attValDistPerClass
IntOption numTuplesOption
double totalWeightObserved
double missingWeightObserved
AutoExpandVector<T> attValDistPerClass
double lowerBound
double upperBound
DoubleVector classWeights
int boundaryClass
double boundaryWeight
int attIndex
int attValue
int attIndex
int attIndex
double attValue
boolean equalsPassesTest
boolean isChangeDetected
boolean isWarningZone
double estimation
double delay
boolean isInitialized
double mdbldelta
int mintTime
int mintClock
double mdblWidth
int lastBucketRow
double TOTAL
double VARIANCE
int WIDTH
int BucketNumber
int Detect
int numberDetections
int DetectTwice
boolean blnBucketDeleted
int BucketNumberMAX
int mintMinWinLength
moa.classifiers.core.driftdetection.ADWIN.List listRowBuckets
ADWIN adwin
FloatOption deltaAdwinOption
IntOption minNumInstancesOption
FloatOption deltaOption
FloatOption lambdaOption
int m_n
double sum
double x_mean
double alpha
double delta
double lambda
IntOption minNumInstancesOption
FloatOption warningLevelOption
FloatOption outcontrolLevelOption
int m_n
int minNumInstances
double m_p
double m_s
double m_psmin
double m_pmin
double m_smin
double warningLevel
double outcontrolLevel
double m_numErrors
int m_minNumErrors
int m_n
int m_d
int m_lastd
double m_mean
double m_stdTemp
double m_m2smax
int m_lastLevel
IntOption minNumInstancesOption
ListOption changeDetectorsOption
MultiChoiceOption predictionOption
ChangeDetector[] cds
Boolean[] preds
IntOption minNumInstancesOption
FloatOption lambdaOption
double m_n
double m_sum
double m_p
double m_s
double lambda
double z_t
IntOption minNumInstancesOption
FloatOption lambdaOption
FloatOption alphaOption
double m_n
double sum
double x_mean
double alpha
double delta
double lambda
FloatOption driftConfidenceOption
FloatOption warningConfidenceOption
MultiChoiceOption oneSidedTestOption
int n_min
double c_min
int total_n
double total_c
int n_max
double c_max
double cEstimacion
int nEstimacion
FloatOption driftConfidenceOption
FloatOption warningConfidenceOption
FloatOption lambdaOption
MultiChoiceOption oneSidedTestOption
double incrCutPoint
double decrCutPoint
double lambda
double warningConfidence
double driftConfidence
boolean oneSidedTest
int width
IntOption minNumInstancesOption
FloatOption deltaOption
FloatOption lambdaOption
FloatOption alphaOption
int m_n
double sum
double x_mean
double alpha
double delta
double lambda
IntOption minNumInstancesOption
FloatOption warningLevelOption
FloatOption driftLevelOption
IntOption maxSizeConceptOption
IntOption minSizeStableConceptOption
IntOption warnLimitOption
int minNumInstances
double warningLevel
double driftLevel
int maxSizeConcept
int minSizeStableConcept
int warnLimit
int m_n
double m_p
double m_s
double m_pmin
double m_smin
double m_psmin
byte[] storedPredictions
int numStoredInstances
int firstPos
int lastPos
int pos
int i
int lastWarnInst
int lastWarnPos
int instNum
boolean rddmDrift
SEEDChangeDetector.SEED seed
FloatOption deltaSEEDOption
IntOption blockSizeSEEDOption
FloatOption epsilonPrimeSEEDOption
FloatOption alphaSEEDOption
IntOption compressTermSEEDOption
SeqDrift1ChangeDetector.SeqDrift1 seqDrift1
FloatOption deltaOption
FloatOption deltaWarningOption
IntOption blockSeqDriftOption
SeqDrift2ChangeDetector.Repository leftRepository
SeqDrift2ChangeDetector.Repository rightRepository
ArrayList<E> uniqueRandomNumbers
double significanceLevel
int blockSize
int sampleSize
int slidingWindowBlockCount
double warningSignificanceLevel
int instanceCount
double leftRepositoryMean
double rightRepositoryMean
int blockCount
double variance
boolean isWarning
double total
moa.classifiers.core.driftdetection.SeqDrift1ChangeDetector.Epsilon epsilon
SeqDrift2ChangeDetector.SeqDrift2 seqdrift
FloatOption deltaSeqDrift2Option
IntOption blockSeqDrift2Option
SeqDrift2ChangeDetector.Reservoir rightRepository
SeqDrift2ChangeDetector.Reservoir leftReservoir
int blockSize
double significanceLevel
int leftReservoirSize
int rightRepositorySize
double k
int instanceCount
double leftReservoirMean
double rightRepositoryMean
double variance
double total
double epsilon
IntOption windowSizeOption
FloatOption alphaDriftOption
FloatOption alphaWarningOption
int windowSize
double alphaDrift
double alphaWarning
byte[] storedPredictions
int firstPos
int lastPos
double ro
double rr
double wo
double wr
int no
int nr
double p
double Z
double sizeInvertedSum
FloatOption minBranchFracOption
List<E> sample1i
List<E> sample2i
FloatOption confidenceLevelOption
IntOption replicatesOption
MultiChoiceOption kernelOption
FloatOption maxMOption
IntOption kOption
ClassOption baseLearnerOption
ClassOption driftDetectionMethodOption
Classifier classifier
Classifier newclassifier
ChangeDetector driftDetectionMethod
boolean newClassifierReset
int ddmLevel
int changeDetected
int warningDetected
double m_epsilon
FloatOption epsilonOption
DoubleVector m_velocity
double m_biasVelocity
DoubleVector observedClassDistribution
double lastSeenClass
FloatOption learningRatioOption
double[][] weightAttribute
boolean reset
int numberAttributes
int numberClasses
int numberDetections
double m_lambda
FloatOption lambdaRegularizationOption
double m_learningRate
FloatOption learningRateOption
DoubleVector m_weights
double m_bias
double m_t
double m_numInstances
int m_loss
MultiChoiceOption lossFunctionOption
double m_lambda
FloatOption lambdaRegularizationOption
double m_learningRate
FloatOption learningRateOption
DoubleVector[] m_weights
double[] m_bias
double m_t
double m_numInstances
int m_loss
MultiChoiceOption lossFunctionOption
double m_lambda
FloatOption lambdaRegularizationOption
int m_loss
MultiChoiceOption lossFunctionOption
double[] m_weights
double m_t
IntOption kOption
IntOption limitOption
MultiChoiceOption nearestNeighbourSearchOption
int C
Instances window
int marker
double prob
IntOption kOption
IntOption limitOption
IntOption minSTMSizeOption
FloatOption relativeLTMSizeOption
FlagOption recalculateSTMErrorOption
int maxClassValue
Instances stm
Instances ltm
int maxLTMSize
int maxSTMSize
List<E> stmHistory
List<E> ltmHistory
List<E> cmHistory
double[][] distanceMatrixSTM
Map<K,V> predictionHistories
Random random
double[] m_DistanceList
int[] m_InstList
KDTreeNode m_Root
KDTreeNodeSplitter m_Splitter
int m_NumNodes
int m_NumLeaves
int m_MaxDepth
boolean m_NormalizeNodeWidth
EuclideanDistance m_EuclideanDistance
double m_MinBoxRelWidth
int m_MaxInstInLeaf
double[] m_Distances
boolean m_SkipIdentical
Instances m_Instances
int m_kNN
DistanceFunction m_DistanceFunction
boolean m_MeasurePerformance
int m_NodeNumber
KDTreeNode m_Left
KDTreeNode m_Right
double m_SplitValue
int m_SplitDim
double[][] m_NodeRanges
double[][] m_NodesRectBounds
int m_Start
int m_End
Instances m_Instances
EuclideanDistance m_EuclideanDistance
int[] m_InstList
boolean m_NormalizeNodeWidth
ClassOption learnerOption
IntOption memberCountOption
IntOption chunkSizeOption
IntOption maxByteSizeOption
double[][] weights
long[] classDistributions
Classifier[] learners
int processedInstances
Classifier candidate
Instances currentChunk
ClassOption learnerOption
FloatOption memberCountOption
FloatOption storedCountOption
IntOption chunkSizeOption
IntOption numFoldsOption
long[] classDistributions
Classifier[] ensemble
Classifier[] storedLearners
double[] ensembleWeights
double[][] storedWeights
int processedInstances
int chunkSize
int numFolds
int maxMemberCount
int maxStoredCount
Classifier candidateClassifier
Instances currentChunk
IntOption tauSizeOption
FloatOption stabIndexSizeOption
FloatOption equivIndexSizeOption
int tau_size
Instances recentChunk
double theta_stab
double theta_diff
double index
int addedPermanent
ClassOption treeLearnerOption
IntOption ensembleSizeOption
MultiChoiceOption mFeaturesModeOption
IntOption mFeaturesPerTreeSizeOption
FloatOption lambdaOption
IntOption numberOfJobsOption
ClassOption driftDetectionMethodOption
ClassOption warningDetectionMethodOption
FlagOption disableWeightedVote
FlagOption disableDriftDetectionOption
FlagOption disableBackgroundLearnerOption
AdaptiveRandomForest.ARFBaseLearner[] ensemble
long instancesSeen
int subspaceSize
BasicClassificationPerformanceEvaluator evaluator
ExecutorService executor
int indexOriginal
long createdOn
long lastDriftOn
long lastWarningOn
ARFHoeffdingTree classifier
boolean isBackgroundLearner
ClassOption driftOption
ClassOption warningOption
ChangeDetector driftDetectionMethod
ChangeDetector warningDetectionMethod
boolean useBkgLearner
boolean useDriftDetector
AdaptiveRandomForest.ARFBaseLearner bkgLearner
BasicClassificationPerformanceEvaluator evaluator
int numberOfDriftsDetected
int numberOfWarningsDetected
ClassOption baseLearnerOption
IntOption ensembleSizeOption
FlagOption pureBoostOption
FloatOption lambdaOption
Classifier[] ensemble
int[] orderPosition
double[] scms
double[] swms
ClassOption baseLearnerOption
IntOption ensembleSizeOption
FlagOption pureBoostOption
FlagOption breakVotesOption
FloatOption errorBoundOption
FloatOption weightShiftOption
FloatOption lambdaOption
double memberWeight
double key_acc
int key_position
int i
int j
int maxAcc
int minAcc
int pos
double lambda_d
double k
boolean correct
boolean okay
double em
double Bm
Classifier[] ensemble
int[] orderPosition
double[] scms
double[] swms
ClassOption learnerOption
FloatOption memberCountOption
FloatOption maturityOption
FloatOption evaluationSizeOption
MultiChoiceOption combinationOption
Classifier[] ensemble
DACC.Pair[] ensembleWeights
double[] ensembleAges
int[][] ensembleWindows
int nbInstances
double val
int index
ClassOption baseLearnerOption
IntOption periodOption
FloatOption betaOption
FloatOption thetaOption
IntOption maxExpertsOption
FloatOption lambdaOption
List<E> experts
List<E> weights
long epochs
ListOption baselearnersOption
IntOption gracePerionOption
IntOption activeClassifiersOption
FlagOption weightClassifiersOption
Classifier[] ensemble
double[] historyTotal
Integer instancesSeen
List<E> topK
boolean[][] onlineHistory
IntOption windowSizeOption
int trainingErrors
FloatOption alphaOption
ClassOption baseLearnerOption
IntOption periodOption
FloatOption sigmoidSlopeOption
FloatOption sigmoidCrossingPointOption
IntOption ensembleSizeOption
MultiChoiceOption pruningStrategyOption
List<E> ensemble
List<E> ensembleWeights
List<E> bkts
List<E> wkts
Instances buffer
long index
double slope
double crossingPoint
int pruning
int ensembleSize
ClassOption baseLearnerOption
IntOption ensembleSizeOption
FloatOption weightShrinkOption
FloatOption deltaAdwinOption
FlagOption outputCodesOption
MultiChoiceOption leveraginBagAlgorithmOption
Classifier[] ensemble
ADWIN[] ADError
int numberOfChangesDetected
int[][] matrixCodes
boolean initMatrixCodes
ClassOption baseLearnerOption
IntOption numAttributesOption
FloatOption weightShrinkOption
FloatOption deltaAdwinOption
FloatOption oddsOffsetOption
FlagOption pruneOption
FlagOption bigTreesOption
IntOption numEnsemblePruningOption
FlagOption adwinReplaceWorstClassifierOption
Classifier[] ensemble
ADWIN[] ADError
int numberOfChangesDetected
int[][] matrixCodes
boolean initMatrixCodes
boolean initClassifiers
int numberAttributes
int numInstances
FloatOption learningRatioOption
FloatOption penaltyFactorOption
IntOption initialNumInstancesOption
double[][] weightAttribute
boolean reset
ClassOption baseLearnerOption
IntOption ensembleSizeOption
FloatOption smoothingOption
Classifier[] ensemble
double[] alpha
double[] alphainc
double[] pipos
double[] pineg
double[][] wpos
double[][] wneg
ClassOption learnerOption
IntOption memberCountOption
FloatOption windowSizeOption
IntOption maxByteSizeOption
FlagOption verboseOption
FlagOption linearOption
double[][] weights
long[] classDistributions
OnlineAccuracyUpdatedEnsemble.ClassifierWithMemory[] ensemble
int processedInstances
OnlineAccuracyUpdatedEnsemble.ClassifierWithMemory candidate
int[] currentWindow
double mse_r
int windowSize
ClassOption baseLearnerOption
IntOption ensembleSizeOption
FloatOption gammaOption
Classifier[] ensemble
double[] alpha
double gamma
double theta
ClassOption baseLearnerOption
IntOption ensembleSizeOption
Classifier[] ensemble
FloatOption lambdaPositiveOption
FloatOption lambdaNegativeOption
IntOption numberOfJobsOption
ExecutorService executor
ClassOption baseLearnerOption
IntOption ensembleSizeOption
Classifier[] ensemble
ADWIN[] ADError
FloatOption lambdaPositiveOption
FloatOption lambdaNegativeOption
IntOption numberOfJobsOption
FloatOption deltaOption
ExecutorService executor
int changeDetectedEnsemble
int changeDetectedBaseLearner
IntOption ensembleSizeOption
IntOption firstClassifierSizeOption
FlagOption useWeightOption
FlagOption resetTreesOption
ClassOption baseLearnerOption
ASHoeffdingTree[] ensemble
double[] error
double alpha
ClassOption baseLearnerOption
IntOption ensembleSizeOption
FlagOption pureBoostOption
FloatOption lambdaOption
Classifier[] ensemble
double[] scms
double[] swms
ClassOption baseLearnerOption
IntOption ensembleSizeOption
FlagOption pureBoostOption
FloatOption deltaAdwinOption
FlagOption outputCodesOption
FlagOption sammeOption
FloatOption lambdaOption
Classifier[] ensemble
double[] scms
double[] swms
ADWIN[] ADError
int numberOfChangesDetected
int[][] matrixCodes
boolean initMatrixCodes
double logKm1
int Km1
boolean initKm1
ClassOption stableLearnerOption
ClassOption reactiveLearnerOption
IntOption windowSizeOption
FloatOption thresholdOption
int[] c
Classifier stableLearner
Classifier reactiveLearner
int t
int w
int theta
Instance[] instances
int changeDetected
int numberOfErrors
int i
IntOption VerbosityOption
ClassOption baseLearnerOption
IntOption ensembleSizeOption
FloatOption numAttributesPercentageOption
FlagOption useBaggingOption
Classifier[] ensemble
boolean isRegression
int[][] listAttributes
int numAttributes
InstancesHeader[] dataset
ClassOption statisticalTestOption
FloatOption similarityBetweenDistributionsOption
IntOption bufferSizeOption
IntOption testFrequencyOption
IntOption classifiersSizeOption
IntOption threadSizeOption
IntOption quantityClassifiersTestOption
List<E> classifiers
List<E> currentChunk
List<E> currentChunk2
List<E> testChunk
int bufferSize
int previousState
int index
ClassOption baseLearnerOption
IntOption numOldLabelsOption
Classifier baseLearner
double[] oldLabels
Instances header
FlagOption labelDelayOption
ListOption learnerListOption
FloatOption betaOption
FloatOption gammaOption
FlagOption pruneOption
Classifier[] ensemble
double[] ensembleWeights
SamoaToWekaInstanceConverter instanceConverter
WEKAClassOption baseLearnerOption
IntOption widthOption
IntOption widthInitOption
IntOption sampleFrequencyOption
weka.classifiers.Classifier classifier
int numberInstances
weka.core.Instances instancesBuffer
boolean isClassificationEnabled
boolean isBufferStoring
double maxValue
MultiLabelPrediction majorityLabelset
HashMap<K,V> vectorCounts
SamoaToWekaInstanceConverter instanceConverter
WEKAClassOption baseLearnerOption
weka.classifiers.Classifier classifier
weka.core.Instances instancesBuffer
boolean isClassificationEnabled
int L
ISOUPTree.Node treeRoot
int leafNodeCount
int splitNodeCount
double examplesSeen
DoubleVector sumOfValues
DoubleVector sumOfSquares
DoubleVector sumOfAttrValues
DoubleVector sumOfAttrSquares
int maxID
IntOption gracePeriodOption
FloatOption splitConfidenceOption
FloatOption tieThresholdOption
FloatOption alternateTreeFadingFactorOption
IntOption alternateTreeTMinOption
IntOption alternateTreeTimeOption
FlagOption regressionTreeOption
FloatOption learningRatioOption
FloatOption learningRateDecayFactorOption
FlagOption learningRatioConstOption
FlagOption doNotNormalizeOption
AutoExpandVector<T> children
DoubleVector sumOfAbsErrors
DoubleVector PHsums
DoubleVector PHmins
double lossExamplesSeen
double lossFadedSumOriginal
double lossFadedSumAlternate
double lossNumQiTests
double lossSumQi
double previousWeight
ISOUPTree.MultitargetPerceptron learningModel
DoubleVector errorP
DoubleVector errorM
double examplesSeenAtLastSplitEvaluation
double weightSeenAtLastSplitEvaluation
int ID
ISOUPTree tree
ISOUPTree.SplitNode parent
ISOUPTree.Node alternateTree
ISOUPTree.Node originalNode
AutoExpandVector<T> attributeObservers
boolean changeDetection
double examplesSeen
DoubleVector sumOfValues
DoubleVector sumOfSquares
Predicate predicate
IntOption randomSeedOption
ClassOption baseLearnerOption
Classifier[] ensemble
boolean hasStarted
InstancesHeader[] header
IntOption randomSeedOption
ClassOption baseLearnerOption
Classifier[] ensemble
boolean hasStarted
InstancesHeader[] header
Prediction lastSeenClasses
RuleSet ruleSet
Rule defaultRule
int ruleNumberID
double[] statistics
FloatOption splitConfidenceOption
FloatOption tieThresholdOption
IntOption gracePeriodOption
FlagOption DriftDetectionOption
FloatOption pageHinckleyAlphaOption
IntOption pageHinckleyThresholdOption
FlagOption noAnomalyDetectionOption
FloatOption multivariateAnomalyProbabilityThresholdOption
FloatOption univariateAnomalyprobabilityThresholdOption
IntOption anomalyNumInstThresholdOption
FlagOption unorderedRulesOption
IntOption VerbosityOption
ClassOption numericObserverOption
double attributesPercentage
double numChangesDetected
double numAnomaliesDetected
double numInstances
FlagOption constantLearningRatioDecayOption
FloatOption learningRatioOption
MultiChoiceOption predictionFunctionOption
ClassOption votingTypeOption
ClassOption splitCriterionOption
ClassOption baseLearnerOption
Classifier regressor
double attributeValue
double symbol
double value
ArrayList<E> predicateSet
AutoExpandVector<T> observers
AutoExpandVector<T> observersGauss
ArrayList<E> attributeStatisticsSupervised
ArrayList<E> squaredAttributeStatisticsSupervised
double[] weightAttribute
DoubleVector attributeStatistics
DoubleVector attributesProbability
DoubleVector squaredAttributeStatistics
DoubleVector obserClassDistrib
DoubleVector attributeMissingValues
int instancesSeen
int instancesSeenTest
boolean reset
double actualClassStatistics
double squaredActualClassStatistics
double PHmT
double PHMT
double XiSum
double ValorTargetRule
Instance instance
AutoExpandVector<T> attributeObservers
AutoExpandVector<T> attributeObserversGauss
DoubleVector observedClassDistribution
DoubleVector saveBestEntropy
DoubleVector saveBestEntropyNominalAttrib
DoubleVector ruleClassIndex
DoubleVector saveBestGlobalEntropy
ArrayList<E> saveBestValGlobalEntropy
ArrayList<E> saveTheBest
ArrayList<E> ruleSet
ArrayList<E> ruleSetAnomalies
ArrayList<E> ruleAnomaliesIndex
ArrayList<E> caseAnomaly
ArrayList<E> ruleAttribAnomalyStatistics
ArrayList<E> ruleSetAnomaliesSupervised
ArrayList<E> ruleAnomaliesIndexSupervised
ArrayList<E> caseAnomalySupervised
ArrayList<E> ruleAttribAnomalyStatisticsSupervised
double minEntropyTemp
double cutPointTemp
double minEntropyNominalAttrib
double symbol
int numInstance
int numAttributes
int numClass
BinaryTreeNumericAttributeClassObserver.Node root
Predicates pred
FloatOption PminOption
FloatOption splitConfidenceOption
FloatOption tieThresholdOption
FloatOption anomalyProbabilityThresholdOption
FloatOption probabilityThresholdOption
IntOption anomalyNumInstThresholdOption
IntOption gracePeriodOption
MultiChoiceOption predictionFunctionOption
FlagOption orderedRulesOption
FlagOption anomalyDetectionOption
FlagOption Supervised
FlagOption Unsupervised
IntOption nbThresholdOption
int inputAttributeIndex
double attributeValue
boolean isEqual
int inputAttributeIndex
double attributeValue
boolean isEqualOrLower
List<E> nodeList
RuleActiveLearningNode learningNode
int ruleNumberID
double[] statisticsOtherBranchSplit
Rule.Builder builder
AbstractAMRules amRules
boolean changeDetection
boolean usePerceptron
double threshold
double alpha
int predictionFunction
double[] statistics
double lastTargetMean
Rule owner
FlagOption constantLearningRatioDecayOption
FloatOption learningRatioOption
int id
AbstractAMRules amRules
PageHinkleyTest pageHinckleyTest
int predictionFunction
boolean changeDetection
Rule owner
boolean[] attributesMask
int numAttributesSelected
DoubleVector nodeStatistics
AbstractAMRules amRules
AttributeSplitSuggestion bestSuggestion
int splitIndex
double[] statisticsNewRuleActiveLearningNode
double[] statisticsBranchSplit
double[] statisticsOtherBranchSplit
Perceptron perceptron
TargetMean targetMean
double lastTargetMean
int operatorObserver
FloatOption percentageAnomalousAttributesOption
FloatOption univariateAnomalyprobabilityThresholdOption
IntOption minNumberInstancesOption
ClassOption probabilityFunctionOption
int minInstances
double weightSeen
double univariateThreshold
double percentageAnomalous
AutoExpandVector<T> sufficientStatistics
ProbabilityFunction probabilityFunction
double anomalyScore
double anomalyScore
IntOption minNumberInstancesOption
FloatOption thresholdOption
ClassOption probabilityFunctionOption
int minInstances
double weightSeen
double threshold
AutoExpandVector<T> sufficientStatistics
ProbabilityFunction probabilityFunction
double anomalyScore
int maxNodes
IntOption maxNodesOption
int numNodes
boolean state
int attIndex
double attValue
int operator
boolean state
double fadingFactor
double instancesSeen
double cumulativeSum
double minimumValue
double sumAbsolutError
long phinstancesSeen
double threshold
double alpha
FloatOption fadingErrorFactorOption
double fadingErrorFactor
double weightSeen
double sumError
double weightSeen
double sumSquaredError
DoubleVector attributeImportance
HashMap<K,V> ruleInformation
DoubleVector attributeImportance
HashMap<K,V> ruleInformation
double[] attributeImportance
HashMap<K,V> ruleInformation
FloatOption meritThresholdOption
Perceptron p
TargetMean tm
boolean hasStarted
FloatOption fadingFactorOption
double nD
double fadingFactor
ClassOption baseLearnerOption
FloatOption alphaOption
AbstractClassifier learner
boolean hasStarted
double lastX
double lastY
double alpha
double SD_THRESHOLD
FlagOption constantLearningRatioDecayOption
FloatOption learningRatioOption
FloatOption learningRateDecayOption
FloatOption fadingFactorOption
IntOption randomSeedOption
double nError
double fadingFactor
double learningRatio
double learningRateDecay
double[] weightAttribute
DoubleVector perceptronattributeStatistics
DoubleVector squaredperceptronattributeStatistics
double perceptronInstancesSeen
double perceptronYSeen
double accumulatedError
boolean initialisePerceptron
double perceptronsumY
double squaredperceptronsumY
int[] numericAttributesIndex
double n
double sum
double errorSum
double nError
double fadingErrorFactor
FloatOption fadingErrorFactorOption
IntOption VerbosityOption
ClassOption baseLearnerOption
IntOption ensembleSizeOption
FloatOption numAttributesPercentageOption
FlagOption useBaggingOption
ClassOption votingFunctionOption
MultiChoiceOption votingTypeOption
FloatOption fadingErrorFactorOption
IntOption randomSeedOption
AbstractAMRules[] ensemble
double[] sumError
double[] nError
boolean isRegression
int[][] listAttributes
int numAttributes
InstancesHeader[] dataset
MultiLabelRuleSet ruleSet
MultiLabelRule defaultRule
int ruleNumberID
double[] statistics
ObserverMOAObject observer
FloatOption splitConfidenceOption
FloatOption tieThresholdOption
IntOption gracePeriodOption
ClassOption learnerOption
FlagOption unorderedRulesOption
FlagOption dropOldRuleAfterExpansionOption
ClassOption changeDetector
ClassOption anomalyDetector
ClassOption splitCriterionOption
ClassOption errorMeasurerOption
ClassOption weightedVoteOption
ClassOption numericObserverOption
ClassOption nominalObserverOption
IntOption VerbosityOption
ClassOption outputSelectorOption
ClassOption inputSelectorOption
IntOption randomSeedOption
ClassOption featureRankingOption
int nAttributes
double attributesPercentage
double numChangesDetected
double numAnomaliesDetected
double numInstances
FeatureRanking featureRanking
MultiLabelRuleSet ruleSet
MultiLabelRule defaultRule
int ruleNumberID
double[] statistics
ObserverMOAObject observer
FloatOption splitConfidenceOption
FloatOption tieThresholdOption
IntOption gracePeriodOption
ClassOption learnerOption
FlagOption unorderedRulesOption
FlagOption dropOldRuleAfterExpansionOption
ClassOption changeDetector
ClassOption anomalyDetector
ClassOption splitCriterionOption
ClassOption errorMeasurerOption
ClassOption weightedVoteOption
ClassOption numericObserverOption
ClassOption nominalObserverOption
IntOption VerbosityOption
ClassOption outputSelectorOption
ClassOption inputSelectorOption
IntOption randomSeedOption
ClassOption featureRankingOption
FloatOption scoreThreshold
IntOption slidingWindowSize
IntOption slidingWindowStep
int nAttributes
double attributesPercentage
double numChangesDetected
double numAnomaliesDetected
double numInstances
FeatureRanking featureRanking
Prediction prediction
int numberTotalExamples
boolean hasModel
boolean isUnlabeled
AnomalyDetector anomalyDetector2
IntOption maxNodesOption
int maxNodes
int numNodes
MultiLabelBSTree.Node root
DoubleVector[] leftStatistics
DoubleVector[] rightStatistics
double cutPoint
DoubleVector[] leftStatistics
DoubleVector[] rightStatistics
MultiLabelBSTree.Node left
MultiLabelBSTree.Node right
IntOption maxNodesOption
int maxNodes
int numNodes
MultiLabelBSTreeFloat.Node root
DoubleVector[] leftStatistics
DoubleVector[] rightStatistics
float cutPoint
SingleVector[] leftStatistics
SingleVector[] rightStatistics
MultiLabelBSTreeFloat.Node left
MultiLabelBSTreeFloat.Node right
FlagOption addUndeclaredValuesOption
HashMap<K,V> statisticsByNominalValue
float[] array
Predicate predicate
DoubleVector[][] resultingNodeStatistics
double merit
AutoExpandVector<T> attributeObservers
DoubleVector[] literalStatistics
int[] outputsToLearn
int[] inputsToLearn
MultiLabelLearner learner
MultiLabelErrorMeasurer errorMeasurer
ChangeDetector[] changeDetectors
ChangeDetector changeDetector
AnomalyDetector anomalyDetector
MultiLabelSplitCriterion splitCriterion
double weightSeen
boolean hasStarted
LearningLiteral expandedLearningLiteral
LearningLiteral otherBranchLearningLiteral
LearningLiteral otherOutputsLearningLiteral
AttributeExpansionSuggestion bestSuggestion
NumericStatisticsObserver numericStatisticsObserver
NominalStatisticsObserver nominalStatisticsObserver
OutputAttributesSelector outputSelector
InputAttributesSelector inputSelector
InstanceInformation instanceInformation
Random randomGenerator
boolean[] attributesMask
double attributesPercentage
InstanceTransformer instanceTransformer
InstancesHeader instanceHeader
double[] meritPerInput
double[] EntropyShift
double[] varianceShift
Predicate predicate
List<E> literalList
LearningLiteral learningLiteral
int ruleNumberID
MultiLabelRule otherBranchRule
MultiLabelRule otherOutputsRule
InstanceInformation instanceInformation
List<E> votes
List<E> errors
double[][] weights
int[] outputAttributesCount
Prediction weightedVote
FloatOption fadingErrorFactorOption
double fadingErrorFactor
double weightSeen
double[] sumError
boolean hasStarted
int numLearnedOutputs
double weightSeen
double[] sumError
double[] sumY
double[] sumErrorToTargetMean
boolean hasStarted
int numLearnedOutputs
double weightSeen
double[] sumY
double[] sumSquaredError
double[] sumSquaredErrorToTargetMean
boolean hasStarted
int numLearnedOutputs
double weightSeen
double[] sumSquaredError
boolean hasStarted
int numLearnedOutputs
ClassOption baseLearnerOption1
ClassOption baseLearnerOption2
ClassOption errorMeasurerOption
IntOption randomSeedOption
boolean hasStarted
MultiTargetRegressor[] baseLearner
MultiTargetErrorMeasurer[] errorMeasurer
double[] countVector
double numInstances
double SD_THRESHOLD
FlagOption constantLearningRatioDecayOption
FloatOption learningRatioOption
FloatOption learningRatio2ndLayerOption
FloatOption learningRateDecayOption
FlagOption skipStackingOption
IntOption randomSeedOption
FlagOption printWeightsOption
boolean hasStarted
double count
double[] inAttrSum
double[] inAttrSquaredSum
double[] outAttrSum
double[] outAttrSquaredSum
double[][] layer1Weights
double[][] layer2Weights
double currentLearningRate
LinkedList<E> numericIndices
FloatOption percentageThresholdOption
InstancesHeader targetInstances
int[] targetInputIndices
int[] targetOutputIndices
int numSourceInstancesOutputs
InstancesHeader targetInstances
int[] targetOutputIndices
int numSourceInstancesOutputs
int nAttributes
IntOption VerbosityOption
ClassOption baseLearnerOption
IntOption ensembleSizeOption
FloatOption numAttributesPercentageOption
FlagOption useBaggingOption
ClassOption votingFunctionOption
MultiChoiceOption votingTypeOption
IntOption randomSeedOption
AMRulesMultiLabelLearner[] ensemble
MultiLabelErrorMeasurer[] errorMeasurer
ClassOption errorMeasurerOption
ClassOption featureRankingOption
boolean isRegression
FeatureRanking featureRanking
FloatOption thresholdOption
FloatOption thresholdOption
FloatOption thresholdOption
double mcCorrectWeight
double nbCorrectWeight
double CorrectWeight
double alpha
IntOption subspaceSizeOption
double mcCorrectWeight
double nbCorrectWeight
int[] listAttributes
int numAttributes
int maxSize
boolean resetTree
IntOption gracePeriodOption
FlagOption binarySplitsOption
ClassOption splitCriterionOption
AttributeSplitSuggestion bestSplit
DoubleVector observedClassDistribution
AutoExpandVector<T> attributeObservers
double weightSeenAtLastSplit
FIMTDD.Node treeRoot
int leafNodeCount
int splitNodeCount
double examplesSeen
double sumOfValues
double sumOfSquares
DoubleVector sumOfAttrValues
DoubleVector sumOfAttrSquares
int maxID
ClassOption splitCriterionOption
IntOption gracePeriodOption
FloatOption splitConfidenceOption
FloatOption tieThresholdOption
FloatOption PageHinckleyAlphaOption
IntOption PageHinckleyThresholdOption
FloatOption alternateTreeFadingFactorOption
IntOption alternateTreeTMinOption
IntOption alternateTreeTimeOption
FlagOption regressionTreeOption
FloatOption learningRatioOption
FloatOption learningRateDecayFactorOption
FlagOption learningRatioConstOption
FloatOption clfThresholdOption
FIMTDD tree
DoubleVector weightAttribute
double sumOfValues
double sumOfSquares
double instancesSeen
boolean reset
AutoExpandVector<T> children
double PHsum
double PHmin
double lossExamplesSeen
double lossFadedSumOriginal
double lossFadedSumAlternate
double lossNumQiTests
double lossSumQi
double previousWeight
FIMTDD.FIMTDDPerceptron learningModel
AutoExpandVector<T> attributeObservers
double examplesSeenAtLastSplitEvaluation
int ID
FIMTDD tree
boolean changeDetection
FIMTDD.Node parent
FIMTDD.Node alternateTree
FIMTDD.Node originalNode
double examplesSeen
double sumOfValues
double sumOfSquares
double sumOfAbsErrors
InstanceConditionalTest splitTest
int alternateTrees
int prunedAlternateTrees
int switchedAlternateTrees
HoeffdingTree.Node alternateTree
ADWIN estimationErrorWeight
boolean ErrorChange
int randomSeed
Random classifierRandom
ClassOption leaveLearnerOption
Classifier classifier
IntOption maxOptionPathsOption
IntOption maxByteSizeOption
ClassOption numericEstimatorOption
ClassOption nominalEstimatorOption
IntOption memoryEstimatePeriodOption
IntOption gracePeriodOption
ClassOption splitCriterionOption
FloatOption splitConfidenceOption
FloatOption secondarySplitConfidenceOption
FloatOption tieThresholdOption
FlagOption binarySplitsOption
FlagOption removePoorAttsOption
FlagOption noPrePruneOption
FileOption dumpFileOption
IntOption memoryStrategyOption
HoeffdingOptionTree.Node treeRoot
int decisionNodeCount
int activeLeafNodeCount
int inactiveLeafNodeCount
double inactiveLeafByteSizeEstimate
double activeLeafByteSizeEstimate
double byteSizeEstimateOverheadFraction
int maxPredictionPaths
MultiChoiceOption leafpredictionOption
IntOption nbThresholdOption
double weightSeenAtLastSplitEvaluation
AutoExpandVector<T> attributeObservers
double mcCorrectWeight
double nbCorrectWeight
DoubleVector observedClassDistribution
InstanceConditionalTest splitTest
HoeffdingOptionTree.SplitNode parent
HoeffdingOptionTree.Node nextOption
int optionCount
AutoExpandVector<T> children
IntOption maxByteSizeOption
ClassOption numericEstimatorOption
ClassOption nominalEstimatorOption
IntOption memoryEstimatePeriodOption
IntOption gracePeriodOption
ClassOption splitCriterionOption
FloatOption splitConfidenceOption
FloatOption tieThresholdOption
FlagOption binarySplitsOption
FlagOption stopMemManagementOption
FlagOption removePoorAttsOption
FlagOption noPrePruneOption
HoeffdingTree.Node treeRoot
int decisionNodeCount
int activeLeafNodeCount
int inactiveLeafNodeCount
double inactiveLeafByteSizeEstimate
double activeLeafByteSizeEstimate
double byteSizeEstimateOverheadFraction
boolean growthAllowed
int maxTreeDepth
MultiChoiceOption leafpredictionOption
IntOption nbThresholdOption
double weightSeenAtLastSplitEvaluation
AutoExpandVector<T> attributeObservers
boolean isInitialized
double mcCorrectWeight
double nbCorrectWeight
DoubleVector observedClassDistribution
InstanceConditionalTest splitTest
AutoExpandVector<T> children
ClassOption learnerOption
Classifier classifier
int[] listAttributes
double mcCorrectWeight
double nbCorrectWeight
double weightSeenAtLastSplitEvaluation
int[] listAttributes
int numAttributes
int innerNodeCount
int optionNodeCount
int numTrees
IntOption maxTreesOption
IntOption maxOptionLevelOption
FloatOption optionDecayFactorOption
MultiChoiceOption optionNodeAggregationOption
FloatOption optionFadingFactorOption
double[] optionFFSSL
double[] optionFFSeen
double mcCorrectWeight
double nbCorrectWeight
int[] listAttributes
int numAttributes
ClassOption numericEstimatorOption
IntOption gracePeriodOption
MultiChoiceOption splitCriterionOption
FloatOption splitConfidenceOption
MultiChoiceOption splitTestsOption
MultiChoiceOption leafPredictionOption
ClassOption driftDetectionMethodOption
FloatOption attributeDiferentiation
int naiveBayesLimit
double percentInCommon
int numberOfInstancesProcessed
Iadem2.Node treeRoot
AbstractChangeDetector estimator
int numberOfNodes
int numberOfLeaves
long instNodeCountSinceVirtual
long instTreeCountSinceReal
long instNodeCountSinceReal
AutoExpandVector<T> virtualChildren
boolean allAttUsed
double instSeenSinceLastSplitAttempt
boolean split
int naiveBayesLimit
int naiveBayesError
int majorityClassError
AbstractChangeDetector naiveBayesError
AbstractChangeDetector majorityClassError
Iadem2 tree
DoubleVector classValueDist
Iadem2.Node parent
AutoExpandVector<T> nominalAttClassObserver
DoubleVector attValueDist
boolean onlyMultiwayTest
boolean onlyBinaryTest
IademNumericAttributeObserver numericAttClassObserver
double bestCutPoint
InstanceConditionalTest splitTest
AutoExpandVector<T> children
int attIndex
boolean heuristicMeasureUpdated
IademAttributeSplitSuggestion bestSplitSuggestion
IntOption maxNestingLevelOption
IntOption maxSubtreesPerNodeOption
boolean restartAtDrift
int interchangedTrees
int deletedTrees
int numTrees
int lastPrediction
int lastPredictionInLeaf
int treeLevel
AutoExpandVector<T> subtreeList
int currentSplitState
int SPLIT_BY_TIE_BREAKING
int SPLIT_WITH_CONFIDENCE
int numSplitsByBreakingTies
AbstractChangeDetector estimator
int limitNaiveBayes
AbstractChangeDetector naiveBayesError
AbstractChangeDetector majorityClassError
int naiveBayesError
int majorityClassError
AbstractChangeDetector estimador
IademNumericAttributeObserver altAttClassObserver
DoubleVector altClassDist
AbstractChangeDetector estimator
AutoExpandVector<T> alternativeTree
AbstractChangeDetector estimator
int causeOfSplit
Iadem3.AdaptiveLeafNode leaf
AbstractChangeDetector errorEstimator
Iadem2.Node nodo
Iadem3 mainTree
double meritLowerBound
int valueCount
DoubleVector classDist
int maxBranches
int splitMeasure
List<E> binList
DoubleVector classDist
double lowerBound
double upperBound
DoubleVector classWeights
int boundaryClass
double boundaryWeight
double radiusFactor
double N
double[] LS
double[] SS
AutoExpandVector<T> clusters
double[] center
double radius
double weight
InstancesHeader modelContext
double trainingWeightSeenByModel
int randomSeed
IntOption randomSeedOption
FlagOption evaluateMicroClusteringOption
Random clustererRandom
Clustering clustering
IntOption timeWindowOption
FloatOption radiusDecreaseOption
FloatOption radiusIncreaseOption
FloatOption positionOffsetOption
FloatOption clusterRemoveOption
FloatOption joinClustersOption
FloatOption clusterAddOption
ArrayList<E> points
int instanceCounter
int windowCounter
Random random
Clustering sourceClustering
FloatOption acuityOption
FloatOption cutoffOption
IntOption randomSeedOption
double m_acuity
double m_cutoff
moa.clusterers.CobWeb.CNode m_cobwebTree
int m_numberOfClusters
boolean m_numberOfClustersDetermined
int m_numberSplits
int m_numberMerges
boolean m_saveInstances
IntOption horizonOption
MultiChoiceOption wekaAlgorithmOption
StringOption parameterOption
Class<T>[] clustererClasses
Instances instances
weka.clusterers.AbstractClusterer clusterer
SamoaToWekaInstanceConverter instanceConverter
IntOption timeWindowOption
IntOption maxNumKernelsOption
IntOption kernelRadiFactorOption
int timeWindow
long timestamp
ClustreamKernel[] kernels
boolean initialized
List<E> buffer
int bufferSize
double t
int m
double LST
double SST
int m
double t
IntOption timeWindowOption
IntOption maxNumKernelsOption
IntOption kernelRadiFactorOption
IntOption kOption
int timeWindow
long timestamp
ClustreamKernel[] kernels
boolean initialized
List<E> buffer
int bufferSize
double t
int m
double totalN
IntOption horizonOption
IntOption maxHeightOption
FlagOption breadthFirstStrategyOption
Node root
int numberDimensions
double negLambda
int height
int maxHeight
int numRootSplits
double weightThreshold
Entry.data
int numberInsertions
long timestamp
boolean breadthFirstStrat
Entry alsoUpdate
ClusKernel data
ClusKernel buffer
Node child
null
if we are
at a leaf, or this is an entry is part of a lying Node
.Entry parentEntry
Node node
long timestamp
int NUMBER_ENTRIES
Entry[] entries
int level
Node
is in the tree.long lastEditT
long creationTimestamp
double lambda
Timestamp currentTimestamp
long timestamp
IntOption horizonOption
FloatOption epsilonOption
FloatOption betaOption
FloatOption muOption
IntOption initPointsOption
FloatOption offlineOption
FloatOption lambdaOption
IntOption speedOption
double weightThreshold
double lambda
double epsilon
int minPoints
double mu
double beta
Clustering p_micro_cluster
Clustering o_micro_cluster
ArrayList<E> initBuffer
boolean initialized
long timestamp
Timestamp currentTimestamp
long tp
int numInitPoints
int numProcessedPerUnit
int processingSpeed
int[] coordinates
int dimensions
boolean isVisited
FloatOption decayFactorOption
FloatOption cmOption
FloatOption clOption
FloatOption betaOption
int currTime
int gap
double decayFactor
double cm
double cl
double beta
double dm
cm
double dl
cl
int d
int N
boolean initialized
HashMap<K,V> grid_list
HashMap<K,V> deleted_grids
ArrayList<E> cluster_list
ArrayList<E> newClusterList
int[] minVals
N
int[] maxVals
N
IntOption numClustersOption
IntOption numDimensionsOption
IntOption maxNumClusterFeaturesOption
IntOption numProjectionsOption
int numClusters
int numDimensions
int maxNumClusterFeatures
int numProjections
boolean bufferPhase
List<E> buffer
double minDistance
int pairwiseDifferent
ClusteringTreeNode root
int rootCount
double T
int numPoints
double[] sumPoints
double sumSquaredLength
double[] center
ClusteringFeature clusteringFeature
List<E> children
IntOption windowSizeOption
MyBaseOutlierDetector.OutlierNotifier outlierNotifier
Random random
int iMaxMemUsage
int nRangeQueriesExecuted
Long nTotalRunTime
double nTimePerObj
Clustering myClusters
TreeSet<E> outliersFound
Long m_timePreObjSum
int nProcessed
MyBaseOutlierDetector.ProgressInfo myProgressInfo
MyBaseOutlierDetector.PrintMsg myOut
boolean bTrace
boolean bShowProgress
boolean bStopAlgorithm
Long _msPrev
Long _msNow
FloatOption radiusOption
IntOption kOption
FlagOption waitWinFullOption
FloatOption radiusOption
IntOption kOption
IntOption queryFreqOption
FloatOption pOption
Set<E> safe_inliers
int m_FractWindowSize
Random m_Random
FloatOption radiusOption
IntOption kOption
IntOption queryFreqOption
FlagOption waitWinFullOption
Long objId
Vector<E> windowNodes
ISBIndex ISB
int m_WindowSize
double m_radius
int m_k
int m_QueryFreq
int m_nBothInlierOutlier
int m_nOnlyInlier
int m_nOnlyOutlier
int FIRST_OBJ_ID
double minDepth
double maxDepth
AnyOutCore anyout
int idCounter
int windowSize
ArrayList<E> objects
DataSet trainingSet
int trainingCount
int trainingSetSize
int truePositive
int falsePositive
int totalOutliers
int outlierClass
HashMap<K,V> aggregatedOScoreResult
HashMap<K,V> lastOScoreResult
HashMap<K,V> lastConfidenceResult
HashMap<K,V> objectAsKernel
HashMap<K,V> previousOScoreResultList
HashMap<K,V> descendToNode
HashMap<K,V> currentLevel
double threshold
double weightThreshold
int oScoreK
int confK
IntOption trainingSetSizeOption
IntOption oScoreKOption
IntOption confKOption
IntOption confidenceChoiceOption
FlagOption UseMeanScoreOption
FloatOption threshholdOption
FloatOption radiusOption
IntOption kOption
Long objId
Vector<E> windowNodes
MCODBase.EventQueue eventQueue
moa.clusterers.outliers.MCOD.MTreeMicroClusters mtreeMC
TreeSet<E> setMC
TreeSet<E> nodesReinsert
ISBIndex ISB_PD
int m_WindowSize
double m_radius
int m_k
double m_theta
boolean bWarning
int m_nBothInlierOutlier
int m_nOnlyInlier
int m_nOnlyOutlier
FloatOption radiusOption
IntOption kOption
Long objId
Vector<E> windowNodes
SimpleCODBase.EventQueue eventQueue
ISBIndex ISB
int m_WindowSize
double m_radius
int m_k
boolean bWarning
int m_nBothInlierOutlier
int m_nOnlyInlier
int m_nOnlyOutlier
IntOption sizeCoresetOption
IntOption numClustersOption
IntOption lengthOption
FlagOption evaluateOption
IntOption randomSeedOption
MTRandom clustererRandom
Point[] centresStreamingCoreset
int numberInstances
int dimension
int length
int numberOfCentres
int coresetsize
BucketManager manager
boolean initialized
double[] array
double weightSum
double mean
double varianceSum
GreenwaldKhannaQuantileSummary.Tuple[] summary
int numTuples
long numObservations
double v
long g
long delta
String name
double value
int L
int m_NumLabels
Instances m_InstancesTemplate
int m_L
boolean debug
ADWIN adwin
BasicClassificationPerformanceEvaluator.Estimator acquisitionRateEstimator
int acquiredInstances
FlagOption calculateAUC
double totalObservedInstances
BasicAUCImbalancedPerformanceEvaluator.Estimator aucEstimator
BasicAUCImbalancedPerformanceEvaluator.SimpleEstimator weightMajorityClassifier
int numClasses
BasicClassificationPerformanceEvaluator.Estimator weightCorrect
BasicClassificationPerformanceEvaluator.Estimator[] columnKappa
BasicClassificationPerformanceEvaluator.Estimator[] rowKappa
BasicClassificationPerformanceEvaluator.Estimator[] precision
BasicClassificationPerformanceEvaluator.Estimator[] recall
int numClasses
BasicClassificationPerformanceEvaluator.Estimator weightCorrectNoChangeClassifier
BasicClassificationPerformanceEvaluator.Estimator weightMajorityClassifier
int lastSeenClass
double totalWeightObserved
FlagOption precisionRecallOutputOption
FlagOption precisionPerClassOption
FlagOption recallPerClassOption
FlagOption f1PerClassOption
FlagOption confusionMatrixOption
FlagOption falseAlarmOption
double totalNumDaysBeforeFailure
double len
double sum
double weightObserved
double numberDetections
double numberDetectionsOccurred
double numberChanges
double numberWarnings
double delay
double errorPrediction
double totalDelay
boolean isWarningZone
double inputValues
boolean hasChangeOccurred
int L
double sumAccuracy
double sumHamming
double sumAccuracy2
double sumPrecision
double sumRecall
double sumFmeasure
int sumExamples
double weightObserved
double squareError
double averageError
int numberOutputs
double weightObserved
double[] squareError
double[] averageError
double[] averageErrorToTargetMean
double[] squareErrorToTargetMean
double[] sumY
int numberOutputs
double weightObserved
double squareError
double averageError
double sumTarget
double squareTargetError
double averageTargetError
double averageErrorDaysBeforeFailure
double averageErrorForFailures
double squareErrorForFailures
int numFailures
int labelWindowSize
boolean debug
Clustering clustering
CMM_GTAnalysis gtAnalysis
int numPoints
int numFClusters
int numGT0Classes
int[] matchMap
double[][] pointInclusionProbFC
double pointInclusionProbThreshold
double lamdaMissed
boolean debug
boolean enableClassMerge
boolean enableModelError
DataPoint p
int pID
int trueClass
double connectivity
double knnInCluster
ArrayList<E> knnIndices
boolean debug
double beta
FloatOption alphaOption
BasicClassificationPerformanceEvaluator.Estimator weightCorrect
double alpha
double estimation
FloatOption alphaOption
double alpha
double estimation
double b
int numPoints
int numFClusters
int numDims
double pointInclusionProbThreshold
Clustering clustering
ArrayList<E> points
Measurement[] measurements
String[] names
ArrayList<E>[] values
ArrayList<E>[] sortedValues
ArrayList<E> events
double[] minValue
double[] maxValue
double[] sumValues
boolean[] enabled
boolean[] corrupted
double time
boolean debug
MembershipMatrix mm
HashMap<K,V> map
int numMeasures
IntOption widthOption
double TotalweightObserved
MultiTargetWindowRegressionPerformanceEvaluator.Estimator weightObserved
MultiTargetWindowRegressionPerformanceEvaluator.Estimator squareError
MultiTargetWindowRegressionPerformanceEvaluator.Estimator averageError
int numClasses
int numberOutputs
IntOption widthOption
double TotalweightObserved
MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator.Estimator weightObserved
MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator.Estimator[] squareError
MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator.Estimator[] averageError
MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator.Estimator[] averageErrorToTargetMean
MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator.Estimator[] squareErrorToTargetMean
MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator.Estimator[] sumY
int numClasses
int numberOutputs
double pointInclusionProbThreshold
boolean debug
IntOption widthOption
double totalObservedInstances
WindowAUCImbalancedPerformanceEvaluator.Estimator aucEstimator
WindowAUCImbalancedPerformanceEvaluator.SimpleEstimator weightMajorityClassifier
int numClasses
IntOption widthOption
double[] window
int posWindow
int lenWindow
int SizeWindow
double sum
double qtyNaNs
IntOption widthOption
double TotalweightObserved
WindowRegressionPerformanceEvaluator.Estimator weightObserved
WindowRegressionPerformanceEvaluator.Estimator squareError
WindowRegressionPerformanceEvaluator.Estimator averageError
int numClasses
String orderingName
String indexName
List<E> subPreviews
List<E> requiredMeasurementNames
List<E> measurementNames
int minEntryNum
Class<T> taskClass
String variedParamName
double[] variedParamValues
LearningCurve learningCurveToBeWrapped
Class<T> taskClass
ALTaskManagerPanel taskManagerPanel
ALPreviewPanel previewPanel
AuxiliarTaskManagerPanel taskManagerPanel
PreviewPanel previewPanel
MainTask currentTask
List<E> taskList
JButton configureTaskButton
JTextField taskDescField
JButton runTaskButton
AuxiliarTaskManagerPanel.TaskTableModel taskTableModel
JTable taskTable
JButton pauseTaskButton
JButton resumeTaskButton
JButton cancelTaskButton
JButton deleteTaskButton
PreviewPanel previewPanel
Preferences prefs
String PREF_NAME
TaskManagerPanel taskManagerPanel
PreviewPanel previewPanel
JComboBox<E> classChoiceBox
JComponent chosenObjectEditor
Object chosenObject
boolean debug
JComboBox<E> classChoiceBox
JComponent chosenObjectEditor
Object chosenObject
CDTaskManagerPanel taskManagerPanel
PreviewPanel previewPanel
JTabbedPane panel
MultiLabelTaskManagerPanel taskManagerPanel
PreviewPanel previewPanel
MultiLabelMainTask currentTask
List<E> taskList
JButton configureTaskButton
JTextField taskDescField
JButton runTaskButton
MultiLabelTaskManagerPanel.TaskTableModel taskTableModel
JTable taskTable
JButton pauseTaskButton
JButton resumeTaskButton
JButton cancelTaskButton
JButton deleteTaskButton
PreviewPanel previewPanel
Preferences prefs
String PREF_NAME
MultiTargetTaskManagerPanel taskManagerPanel
PreviewPanel previewPanel
MultiTargetMainTask currentTask
List<E> taskList
JButton configureTaskButton
JTextField taskDescField
JButton runTaskButton
MultiTargetTaskManagerPanel.TaskTableModel taskTableModel
JTable taskTable
JButton pauseTaskButton
JButton resumeTaskButton
JButton cancelTaskButton
JButton deleteTaskButton
PreviewPanel previewPanel
Preferences prefs
String PREF_NAME
TaskThread previewedThread
JLabel previewLabel
JButton refreshButton
JLabel autoRefreshLabel
JComboBox<E> autoRefreshComboBox
TaskTextViewerPanel textViewerPanel
Timer autoRefreshTimer
RegressionTaskManagerPanel taskManagerPanel
PreviewPanel previewPanel
RegressionMainTask currentTask
List<E> taskList
JButton configureTaskButton
JTextField taskDescField
JButton runTaskButton
RegressionTaskManagerPanel.TaskTableModel taskTableModel
JTable taskTable
JButton pauseTaskButton
JButton resumeTaskButton
JButton cancelTaskButton
JButton deleteTaskButton
PreviewPanel previewPanel
Preferences prefs
String PREF_NAME
com.github.fracpete.jshell.JShellPanel m_PanelJShell
TaskManagerPanel taskManagerPanel
PreviewPanel previewPanel
MainTask currentTask
List<E> taskList
JButton configureTaskButton
JTextField taskDescField
JButton runTaskButton
TaskManagerPanel.TaskTableModel taskTableModel
JTable taskTable
JButton pauseTaskButton
JButton resumeTaskButton
JButton cancelTaskButton
JButton deleteTaskButton
PreviewPanel previewPanel
Preferences prefs
String PREF_NAME
PreviewTableModel previewTableModel
JTable previewTable
JTextArea errorTextField
JScrollPane scrollPaneTable
JScrollPane scrollPaneText
JButton exportButton
JPanel topWrapper
JSplitPane jSplitPane1
CDTaskManagerPanel taskManagerPanel
PreviewPanel.TypePanel typePanel
GridBagConstraints gridBagConstraints
MeasureCollection[] acc1
MeasureCollection[] acc2
String secondLine
JButton buttonRun
JButton buttonScreenshot
JButton buttonStop
JButton buttonZoomInX
JButton buttonZoomInY
JButton buttonZoomOutX
JButton buttonZoomOutY
JCheckBox checkboxDrawClustering
JCheckBox checkboxDrawGT
JCheckBox checkboxDrawMicro
JCheckBox checkboxDrawPoints
ClusteringVisualEvalPanel clusteringVisualEvalPanel1
JComboBox<E> comboX
JComboBox<E> comboY
GraphCanvas graphCanvas
JPanel graphPanel
JPanel graphPanelControlBottom
JPanel graphPanelControlTop
JScrollPane graphScrollPanel
JLabel jLabel1
JLabel labelEvents
JLabel labelNumPause
JLabel labelX
JLabel labelY
JLabel label_processed_points
JLabel label_processed_points_value
JTextField numPauseAfterPoints
JPanel panelControl
JPanel panelEvalOutput
JPanel panelVisualWrapper
JScrollPane scrollPane0
JScrollPane scrollPane1
JSlider speedSlider
JSplitPane splitVisual
StreamPanel streamPanel0
StreamPanel streamPanel1
JTextArea textArea
JScrollPane scrollPane
JButton exportButton
WEKAClassOption editedOption
JTextField textField
JButton editButton
ALTaskThread previewedThread
JLabel previewLabel
JButton refreshButton
JLabel autoRefreshLabel
JComboBox<E> autoRefreshComboBox
ALTaskTextViewerPanel textViewerPanel
Timer autoRefreshTimer
ALMainTask currentTask
List<E> taskList
JButton configureTaskButton
JTextField taskDescField
JButton runTaskButton
ALTaskManagerPanel.TaskTableModel taskTableModel
JTable taskTable
JButton pauseTaskButton
JButton resumeTaskButton
JButton cancelTaskButton
JButton deleteTaskButton
ALPreviewPanel previewPanel
Preferences prefs
String PREF_NAME
JSplitPane mainPane
JPanel topWrapper
PreviewTableModel previewTableModel
JTable previewTable
JTextArea errorTextField
JScrollPane scrollPaneTable
JScrollPane scrollPaneText
JButton exportButton
JPanel panelEvalOutput
MeasureOverview measureOverview
GridBagConstraints gridBagConstraints
JPanel graphPanel
JPanel graphPanelControlLeft
JButton buttonZoomInY
JButton buttonZoomOutY
JLabel labelEvents
JTabbedPane graphPanelTabbedPane
JScrollPane graphScrollPanel
ProcessGraphCanvas graphCanvas
JScrollPane paramGraphScrollPanel
ParamGraphCanvas paramGraphCanvas
JScrollPane budgetGraphScrollPanel
ParamGraphCanvas budgetGraphCanvas
JPanel graphPanelControlRight
JButton buttonZoomInX
JButton buttonZoomOutX
String variedParamName
double[] variedParamValues
double[] budgets
MeasureCollection[] measures
int measureCollectionSelected
String variedParamName
double[] variedParamValues
JPanel contentPanel
JScrollPane scrollPane
ButtonGroup radioGroup
JRadioButton[] radioButtons
JLabel[] currentValues
JLabel[] meanValues
JLabel labelMeasure
JLabel labelCurrent
JLabel labelMean
JComboBox<E> paramBox
List<E> editComponents
ClassOption streamOption
ClassOption algorithmOption0
ClassOption algorithmOption1
ClusteringTabPanel clusteringTab
String lastfile
JButton buttonExport
JButton buttonExportSettings
JButton buttonImportSettings
JButton buttonStart
JButton buttonStop
JButton buttonWeka
ClusteringAlgoPanel clusteringAlgoPanel0
ClusteringEvalPanel clusteringEvalPanel1
TextViewerPanel logPanel
ClusteringSetupTab clusteringSetupTab
ClusteringVisualTab clusteringVisualTab
JTabbedPane jTabbedPane1
ArrayList<E> names
ArrayList<E> values
ArrayList<E> radiobuttons
MeasureCollection[] measures0
MeasureCollection[] measures1
ButtonGroup radioGroup
JLabel labelDummy
JLabel labelMeasure
JLabel labelCurrent0
JLabel labelMean0
JPanel contentPanel
JScrollPane scrollPane
RunVisualizer visualizer
Thread visualizerThread
Boolean running
ClusteringSetupTab clusteringSetupTab
String exportFile
String screenshotFilebase
JButton buttonRun
JButton buttonScreenshot
JButton buttonStop
JButton buttonZoomInX
JButton buttonZoomInY
JButton buttonZoomOutX
JButton buttonZoomOutY
JCheckBox checkboxDrawClustering
JCheckBox checkboxDrawGT
JCheckBox checkboxDrawMicro
JCheckBox checkboxDrawPoints
ClusteringVisualEvalPanel clusteringVisualEvalPanel1
JComboBox<E> comboX
JComboBox<E> comboY
GraphCanvas graphCanvas
JPanel graphPanel
JPanel graphPanelControlBottom
JPanel graphPanelControlTop
JScrollPane graphScrollPanel
JLabel jLabel1
JSplitPane jSplitPane1
JLabel labelEvents
JLabel labelNumPause
JLabel labelX
JLabel labelY
JLabel label_processed_points
JLabel label_processed_points_value
JTextField numPauseAfterPoints
JPanel panelControl
JPanel panelEvalOutput
JPanel panelVisualWrapper
JScrollPane scrollPane0
JScrollPane scrollPane1
JSlider speedSlider
JSplitPane splitVisual
StreamPanel streamPanel0
StreamPanel streamPanel1
JPanel topWrapper
ConceptDriftMainTask currentTask
List<E> taskList
JButton configureTaskButton
JTextField taskDescField
JButton runTaskButton
CDTaskManagerPanel.TaskTableModel taskTableModel
JTable taskTable
JButton pauseTaskButton
JButton resumeTaskButton
JButton cancelTaskButton
JButton deleteTaskButton
PreviewPanel previewPanel
Preferences prefs
String PREF_NAME
List<E> editComponents
ClassOption streamOption
ClassOption algorithmOption0
ClassOption algorithmOption1
OutlierTabPanel outlierTab
String lastfile
JButton buttonExport
JButton buttonExportSettings
JButton buttonImportSettings
JButton buttonStart
JButton buttonStop
JButton buttonWeka
OutlierAlgoPanel outlierAlgoPanel0
OutlierEvalPanel outlierEvalPanel1
TextViewerPanel logPanel
OutlierSetupTab outlierSetupTab
OutlierVisualTab outlierVisualTab
JTabbedPane jTabbedPane1
ArrayList<E> names
ArrayList<E> values
ArrayList<E> radiobuttons
MeasureCollection[] measures0
ButtonGroup radioGroup
JLabel labelDummy
JLabel labelMeasure
JLabel labelCurrent0
JLabel labelMean0
JPanel contentPanel
JScrollPane scrollPane
RunOutlierVisualizer visualizer
Thread visualizerThread
Boolean running
OutlierSetupTab outlierSetupTab
String exportFile
String screenshotFilebase
JButton buttonRun
JButton buttonScreenshot
JButton buttonRedraw
JButton buttonStop
JButton buttonZoomInX
JButton buttonZoomInY
JButton buttonZoomOutX
JButton buttonZoomOutY
JCheckBox checkboxDrawOutliers
JCheckBox checkboxDrawPoints
JCheckBox checkboxWaitWinFull
JComboBox<E> comboX
JComboBox<E> comboY
GraphCanvas graphCanvas
JPanel graphPanel
JPanel graphPanelControlBottom
JPanel graphPanelControlTop
JScrollPane graphScrollPanel
JLabel jLabel1
JSplitPane jSplitPane1
JLabel labelEvents
JLabel labelNumPause
JLabel labelX
JLabel labelY
JLabel label_processed_points
JLabel label_processed_points_value
JTextField numPauseAfterPoints
JPanel panelControl
JPanel panelEvalOutput
JPanel panelVisualWrapper
JScrollPane scrollPane0
JScrollPane scrollPane1
JSlider speedSlider
JSplitPane splitVisual
StreamOutlierPanel streamPanel0
StreamOutlierPanel streamPanel1
JPanel topWrapper
int width
int height
double x_resolution
double y_resolution
double min_x_value
double max_x_value
double max_y_value
double lower_x_value
double upper_x_value
double upper_y_value
MeasureCollection[] measures
MeasureCollection[] measureStds
int measureSelected
AbstractGraphAxes axesPanel
AbstractGraphPlot plotPanel
double min_x_value
double max_x_value
double max_y_value
double x_resolution
double y_resolution
double baseWidth
double baseHeight
MeasureCollection[] measures
MeasureCollection[] measureStds
int measureSelected
double min_x_value
double max_x_value
double max_y_value
double lower_x_value
double upper_x_value
double upper_y_value
double x_resolution
Color[] colors
boolean isStandardDeviationPainted
SphereCluster cluster
double[] center
double decay_rate
int x_dim
int y_dim
Color col
Color default_color
double[] direction
StreamPanel streamPanel
int panel_size
int window_size
boolean highligted
double r
int x_offset_left
int x_offset_right
int y_offset_bottom
int y_offset_top
int height
int width
double x_resolution
int processFrequency
double min_value
double max_value
int max_x_value
MeasureCollection measure0
MeasureCollection measure1
int measureSelected
ArrayList<E> clusterEvents
ArrayList<E> eventLabelList
GraphAxes axesPanel
GraphCurve curvePanel
JPanel eventPanel
int eventCounter
int x_offset_left
int x_offset_right
int y_offset_bottom
int y_offset_top
int processFrequency
double min_y_value
double max_y_value
double max_x_value
double x_resolution
double y_resolution
JViewport viewport
double min_value
double max_value
MeasureCollection measure0
MeasureCollection measure1
int measureSelected
double x_resolution
int processFrequency
ArrayList<E> clusterEvents
double[] variedParamValues
boolean bAntiAlias
MyBaseOutlierDetector myOutlierDetector
MyBaseOutlierDetector.Outlier myOutlier
SphereCluster cluster
JDialog frameInfo
double[] center
double decay_rate
int x_dim
int y_dim
Color col
Color default_color
StreamOutlierPanel streamPanel
int panel_size
int window_size
boolean highligted
double r
double[] variedParamValues
DataPoint point
int x_dim
int y_dim
Color col
Color default_color
int panel_size
int window_size
boolean highligted
double decayRate
double decayThreshold
int type
int TYPE_PLAIN
int TYPE_CLUSTERED
StreamPanel sp
int processFrequency
int[] processFrequencies
int min_processFrequency
OutlierPanel highlighted_outlier
double zoom_factor
int zoom
int width_org
int height_org
int activeXDim
int activeYDim
JPanel layerOutliers
moa.gui.visualization.StreamOutlierPanel.LabelAlgorithmPanel layerAlgorithmTitle
RunOutlierVisualizer m_visualizer
MyBaseOutlierDetector m_outlierDetector
BufferedImage pointImg
BufferedImage canvasImg
moa.gui.visualization.StreamOutlierPanel.ImgPanel layerCanvas
boolean bAntiAlias
int EVENTSIZE
ClusterPanel highlighted_cluster
double zoom_factor
int zoom
int width_org
int height_org
int activeXDim
int activeYDim
JPanel layerPoints
JPanel layerMicro
JPanel layerMacro
JPanel layerGroundTruth
BufferedImage pointCanvas
moa.gui.visualization.StreamPanel.pointCanvasPanel layerPointCanvas
boolean pointsVisible
boolean ANTIALIAS
ClassOption driftDetectionMethodOption
ChangeDetector driftDetectionMethod
OptionsHandler config
ChangeListener listener
String[] names
String lastEvalTaskCLIString
ClassOptionWithListenerOption evalTaskOption
EditableMultiChoiceOption variedParamNameOption
EditableMultiChoiceOptionEditComponent editComponent
MemRecommenderData drm
String strLine
BufferedReader br
FileOption fileOption
String strLine
BufferedReader br
FileOption fileOption
String strLine
BufferedReader br
FileOption fileOption
BaselinePredictor rp
ClassOption dataOption
BRISMFPredictor rp
IntOption featuresOption
FloatOption lRateOption
FloatOption rFactorOption
IntOption iterationsOption
ClassOption dataOption
RecommenderData data
Comparable<T> first
Comparable<T> second
FileOption arffFileOption
IntOption classIndexOption
Instances instances
Reader fileReader
boolean hitEndOfFile
InstanceExample lastInstanceRead
int numInstancesRead
InputStreamProgressMonitor fileProgressMonitor
ArrayList<E> clusterEvents
ClassOption streamOption
IntOption randomSeedOption
MultiTargetInstanceStream originalStream
int waitingToSend
Example<T> queuedInstance
Random randomGenerator
Instances toStream
int streamPos
ClassOption streamOption
ClassOption driftstreamOption
FloatOption alphaOption
IntOption positionOption
IntOption widthOption
IntOption randomSeedOption
InstanceStream inputStream
InstanceStream driftStream
Random random
int numberInstanceStream
InstancesHeader streamHeader
Instance inputInstance
Instance driftInstance
ClassOption streamOption
ClassOption driftstreamOption
FloatOption alphaOption
IntOption positionOption
IntOption widthOption
IntOption randomSeedOption
ExampleStream<E extends Example> inputStream
ExampleStream<E extends Example> driftStream
Random random
int numberInstanceStream
ClassOption streamOption
ClassOption filtersOption
ExampleStream<E extends Example> filterChain
ClassOption streamOption
StringOption classRatioOption
IntOption instanceRandomSeedOption
ExampleStream<E extends Example> originalStream
Instances[] instancesBuffer
double[] probPerClass
Random random
int numClasses
ClassOption streamOption
IntOption numNumericFeaturesOption
IntOption numCategoricalFeaturesOption
IntOption numValuesCategoricalFeatureOption
IntOption instanceRandomSeedOption
ExampleStream<E extends Example> originalStream
InstancesHeader newHeader
Random random
ClassOption streamOption
ListOption filtersOption
ExampleStream<E extends Example> filterChain
ClassOption streamOption
ClassOption filtersOption
ExampleStream<E extends Example> filterChain
FileOption arffFileOption
RangeOption outputAttributesOption
Instances instances
Reader fileReader
boolean hitEndOfFile
InstanceExample lastInstanceRead
int numInstancesRead
InputStreamProgressMonitor fileProgressMonitor
ClassOption streamOption
IntOption partitionIndexOption
IntOption numPartitionsOption
IntOption randomSeedOption
ExampleStream<E extends Example> baseStream
int partitionIndex
int numPartitions
Random random
IntOption decayHorizonOption
FloatOption decayThresholdOption
IntOption evaluationFrequencyOption
IntOption numAttsOption
String defaultfile
FileOption arffFileOption
IntOption classIndexOption
FlagOption normalizeOption
ListOption removeAttributesOption
FlagOption keepNonNumericalAttrOption
Instances instances
Reader fileReader
boolean hitEndOfFile
InstanceExample lastInstanceRead
int numInstancesRead
InputStreamProgressMonitor fileProgressMonitor
Integer[] removeAttributes
Instances filteredDataset
ArrayList<E> valuesMinMaxDiff
IntOption modelRandomSeedOption
IntOption instanceRandomSeedOption
IntOption numClusterOption
IntOption numClusterRangeOption
FloatOption kernelRadiiOption
FloatOption kernelRadiiRangeOption
FloatOption densityRangeOption
IntOption speedOption
IntOption speedRangeOption
FloatOption noiseLevelOption
FlagOption noiseInClusterOption
IntOption eventFrequencyOption
FlagOption eventMergeSplitOption
FlagOption eventDeleteCreateOption
double merge_threshold
int kernelMovePointFrequency
double maxDistanceMoveThresholdByStep
int maxOverlapFitRuns
double eventFrequencyRange
boolean debug
AutoExpandVector<T> kernels
Random instanceRandom
InstancesHeader streamHeader
int numGeneratedInstances
int numActiveKernels
int nextEventCounter
int nextEventChoice
int clusterIdCounter
moa.streams.clustering.RandomRBFGeneratorEvents.GeneratorCluster mergeClusterA
moa.streams.clustering.RandomRBFGeneratorEvents.GeneratorCluster mergeClusterB
boolean mergeKernelsOverlapping
String defaultfile
FileOption csvFileOption
StringOption splitCharOption
FlagOption classIndexOption
Instances dataset
BufferedReader fileReader
boolean hitEndOfFile
InstanceExample lastInstanceRead
int numInstancesRead
int numTokens
int numAttributes
InputStreamProgressMonitor fileProgressMonitor
ExampleStream<E extends Example> inputStream
ExampleStream<E extends Example> inputStream
IntOption randomSeedOption
FloatOption attNoiseFractionOption
FloatOption classNoiseFractionOption
Random random
AutoExpandVector<T> attValObservers
InstancesHeader dataset
IntOption randomSeedOption
IntOption numLatentOption
Random random
double[] c
double[] r
InstancesHeader dataset
IntOption randomSeedOption
IntOption numLatentOption
int H
Random random
double[][] W
InstancesHeader streamHeader
List<E> numericAttributes
MultiChoiceOption numericReplacementStrategyOption
MultiChoiceOption nominalReplacementStrategyOption
FloatOption numericalConstantValueOption
int numAttributes
double[] columnsStatistics
long[] numberOfSamples
double[] lastNominalValues
HashMap<K,V>[] frequencies
int numericalSelectedStrategy
int nominalSelectedStrategy
InstancesHeader dataset
Selection inputsSelected
Selection outputsSelected
StringOption inputStringOption
StringOption outputStringOption
IntOption functionOption
IntOption instanceRandomSeedOption
FloatOption peturbFractionOption
FlagOption balanceClassesOption
InstancesHeader streamHeader
Random instanceRandom
boolean nextClassShouldBeZero
IntOption functionOption
FloatOption noisePercentage
IntOption instanceRandomSeedOption
InstancesHeader streamHeader
Random instanceRandom
boolean nextClassShouldBeZero
AssetNegotiationGenerator.ClassFunction classFunction
IntOption instanceRandomSeedOption
IntOption numClassesOption
IntOption numAttsOption
IntOption numDriftAttsOption
FloatOption magChangeOption
IntOption noisePercentageOption
IntOption sigmaPercentageOption
InstancesHeader streamHeader
Random instanceRandom
double[] weights
int[] sigma
int numberInstance
IntOption instanceRandomSeedOption
IntOption noisePercentageOption
FlagOption suppressIrrelevantAttributesOption
InstancesHeader streamHeader
Random instanceRandom
IntOption numberAttributesDriftOption
int[] numberAttribute
IntOption functionOption
IntOption instanceRandomSeedOption
FlagOption balanceClassesOption
InstancesHeader streamHeader
Random instanceRandom
boolean nextClassShouldBeZero
IntOption modelRandomSeedOption
IntOption instanceRandomSeedOption
IntOption numClassesOption
IntOption numAttsOption
IntOption numCentroidsOption
InstancesHeader streamHeader
RandomRBFGenerator.Centroid[] centroids
double[] centroidWeights
Random instanceRandom
double[] centre
int classLabel
double stdDev
FloatOption speedChangeOption
IntOption numDriftCentroidsOption
double[][] speedCentroids
IntOption treeRandomSeedOption
IntOption instanceRandomSeedOption
IntOption numClassesOption
IntOption numNominalsOption
IntOption numNumericsOption
IntOption numValsPerNominalOption
IntOption maxTreeDepthOption
IntOption firstLeafLevelOption
FloatOption leafFractionOption
RandomTreeGenerator.Node treeRoot
InstancesHeader streamHeader
Random instanceRandom
int classLabel
int splitAttIndex
double splitAttValue
RandomTreeGenerator.Node[] children
IntOption functionOption
IntOption instanceRandomSeedOption
FlagOption balanceClassesOption
IntOption numInstancesConcept
IntOption noisePercentageOption
InstancesHeader streamHeader
Random instanceRandom
boolean nextClassShouldBeZero
IntOption instanceRandomSeedOption
IntOption functionOption
FlagOption suppressIrrelevantAttributesOption
FlagOption balanceClassesOption
InstancesHeader streamHeader
Random instanceRandom
boolean nextClassShouldBeZero
IntOption instanceRandomSeedOption
IntOption functionOption
FlagOption balanceClassesOption
InstancesHeader streamHeader
Random instanceRandom
boolean nextClassShouldBeZero
IntOption numAttsOption
IntOption instanceRandomSeedOption
InstancesHeader streamHeader
Random instanceRandom
int[] wordTwitterGenerator
double[] freqTwitterGenerator
double[] sumFreqTwitterGenerator
int[] classTwitterGenerator
int sizeTable
double probPositive
double probNegative
double zipfExponent
double lengthTweet
int countTweets
IntOption instanceRandomSeedOption
FlagOption addNoiseOption
InstancesHeader streamHeader
Random instanceRandom
IntOption numberAttributesDriftOption
int[] numberAttribute
ArrayList<E> clusterEvents
IntOption instanceRandomSeedOption
FlagOption notBinaryStreamOption
IntOption numInstancesConceptOption
InstancesHeader streamHeader
Random instanceRandom
int period
int numInstances
boolean change
FloatOption changeDriftOption
ClassOption binaryGeneratorOption
IntOption metaRandomSeedOption
IntOption numLabelsOption
IntOption skewOption
FloatOption labelCardinalityOption
FloatOption labelCardinalityVarOption
FloatOption labelCardinalityRatioOption
FloatOption labelDependencyChangeRatioOption
MultilabelInstancesHeader m_MultilabelInstancesHeader
InstanceStream m_BinaryGenerator
Instances multilabelStreamTemplate
Random m_MetaRandom
int m_L
int m_A
double[] priors
double[] priors_norm
double[][] Conditional
HashSet<E>[] m_TopCombinations
LinkedList<E>[] queue
IntOption numLabelsOption
ClassOption streamOption
IntOption maximumCacheSizeOption
IntOption shuffleRandomSeedOption
ClassOption learnerOption
ClassOption streamOption
IntOption instanceLimitOption
FlagOption generalEvalOption
FlagOption f1Option
FlagOption entropyOption
FlagOption cmmOption
FlagOption ssqOption
FlagOption separationOption
FlagOption silhouetteOption
FlagOption statisticalOption
FileOption dumpFileOption
ClassOption learnerOption
ClassOption streamOption
ClassOption evaluatorOption
IntOption instanceLimitOption
IntOption timeLimitOption
IntOption sampleFrequencyOption
FileOption dumpFileOption
ClassOption learnerOption
ClassOption streamOption
ClassOption evaluatorOption
IntOption instanceLimitOption
IntOption chunkSizeOption
IntOption timeLimitOption
IntOption sampleFrequencyOption
IntOption maxMemoryOption
IntOption memCheckFrequencyOption
FileOption dumpFileOption
ClassOption learnerOption
ClassOption streamOption
IntOption randomSeedOption
ClassOption evaluatorOption
IntOption instanceLimitOption
IntOption timeLimitOption
IntOption sampleFrequencyOption
IntOption memCheckFrequencyOption
FileOption dumpFileOption
ClassOption modelOption
ClassOption streamOption
ClassOption evaluatorOption
IntOption maxInstancesOption
IntOption sampleFrequencyOption
FileOption outputPredictionFileOption
ClassOption modelOption
ClassOption streamOption
ClassOption evaluatorOption
IntOption maxInstancesOption
FileOption outputPredictionFileOption
ClassOption modelOption
ClassOption streamOption
ClassOption evaluatorOption
IntOption maxInstancesOption
FileOption outputPredictionFileOption
ClassOption modelOption
ClassOption streamOption
ClassOption evaluatorOption
IntOption maxInstancesOption
FileOption outputPredictionFileOption
String defaultfile
ClassOption learnerOption
ClassOption streamOption
IntOption numStreamsOption
FlagOption generalEvalOption
FlagOption f1Option
FlagOption entropyOption
FlagOption cmmOption
FlagOption ssqOption
FlagOption separationOption
FlagOption silhouetteOption
FlagOption statisticalOption
FileOption dumpFileOption
EvaluateClustering task
ClassOption datasetOption
ClassOption ratingPredictorOption
IntOption sampleFrequencyOption
ClassOption learnerOption
ClassOption streamOption
ClassOption evaluatorOption
IntOption testSizeOption
IntOption trainSizeOption
IntOption trainTimeOption
IntOption sampleFrequencyOption
FileOption dumpFileOption
FlagOption cacheTestOption
ClassOption learnerOption
ClassOption streamOption
ClassOption evaluatorOption
IntOption instanceLimitOption
IntOption timeLimitOption
IntOption sampleFrequencyOption
IntOption memCheckFrequencyOption
FileOption dumpFileOption
FileOption outputPredictionFileOption
IntOption widthOption
FloatOption alphaOption
ClassOption learnerOption
ClassOption streamOption
ClassOption evaluatorOption
IntOption instanceLimitOption
IntOption timeLimitOption
IntOption sampleFrequencyOption
IntOption memCheckFrequencyOption
FileOption dumpFileOption
IntOption numFoldsOption
MultiChoiceOption validationMethodologyOption
IntOption randomSeedOption
ClassOption learnerOption
ClassOption streamOption
ClassOption evaluatorOption
IntOption delayLengthOption
IntOption initialWindowSizeOption
FlagOption trainOnInitialWindowOption
FlagOption trainInBatches
IntOption instanceLimitOption
IntOption timeLimitOption
IntOption sampleFrequencyOption
IntOption memCheckFrequencyOption
FileOption dumpFileOption
FileOption outputPredictionFileOption
IntOption widthOption
FloatOption alphaOption
LinkedList<E> trainInstances
ClassOption learnerOption
ClassOption streamOption
ClassOption evaluatorOption
IntOption delayLengthOption
IntOption instanceLimitOption
IntOption timeLimitOption
IntOption sampleFrequencyOption
IntOption memCheckFrequencyOption
FileOption dumpFileOption
IntOption numFoldsOption
MultiChoiceOption validationMethodologyOption
IntOption randomSeedOption
LinkedList<E> trainInstances
ClassOption learnerOption
ClassOption streamOption
ClassOption evaluatorOption
IntOption instanceLimitOption
IntOption timeLimitOption
IntOption sampleFrequencyOption
IntOption memCheckFrequencyOption
FileOption dumpFileOption
FileOption outputPredictionFileOption
IntOption widthOption
FloatOption alphaOption
ClassOption learnerOption
ClassOption streamOption
ClassOption evaluatorOption
IntOption instanceLimitOption
IntOption timeLimitOption
IntOption sampleFrequencyOption
IntOption memCheckFrequencyOption
FileOption dumpFileOption
FileOption outputPredictionFileOption
IntOption widthOption
FloatOption alphaOption
ClassOption learnerOption
ClassOption streamOption
ClassOption evaluatorOption
IntOption instanceLimitOption
IntOption timeLimitOption
IntOption sampleFrequencyOption
IntOption memCheckFrequencyOption
FileOption dumpFileOption
FileOption outputPredictionFileOption
IntOption widthOption
FloatOption alphaOption
FloatOption unlabeledPercentage
FloatOption dbInitialModelPercentage
IntOption runSeed
IntOption slidingWindowSize
IntOption slidingWindowStep
ClassOption learnerOption
ClassOption streamOption
ClassOption evaluatorOption
IntOption instanceLimitOption
IntOption timeLimitOption
IntOption sampleFrequencyOption
IntOption memCheckFrequencyOption
FileOption dumpFileOption
FileOption outputPredictionFileOption
IntOption widthOption
FloatOption alphaOption
Throwable failureReason
ClassOption learnerOption
ClassOption streamOption
IntOption maxInstancesOption
IntOption numPassesOption
IntOption memCheckFrequencyOption
ClassOption learnerOption
ClassOption streamOption
IntOption maxInstancesOption
IntOption numPassesOption
IntOption memCheckFrequencyOption
ClassOption learnerOption
ClassOption streamOption
IntOption maxInstancesOption
IntOption numPassesOption
IntOption memCheckFrequencyOption
ClassOption learnerOption
ClassOption streamOption
IntOption maxInstancesOption
IntOption numPassesOption
IntOption memCheckFrequencyOption
FileOption outputFileOption
ClassOption streamOption
IntOption generateSizeOption
StringOption gnuplotPathOption
FileOption plotOutputOption
ListOption inputFilesOption
ListOption fileAliasesOption
MultiChoiceOption outputTypeOption
MultiChoiceOption plotStyleOption
IntOption xColumnOption
StringOption xTitleOption
StringOption xUnitOption
IntOption yColumnOption
StringOption yTitleOption
StringOption yUnitOption
IntOption lineWidthOption
IntOption pointIntervalOption
FlagOption smoothOption
FlagOption deleteScriptsOption
MultiChoiceOption legendLocationOption
MultiChoiceOption legendTypeOption
StringOption additionalSetOption
StringOption additionalPlotOption
ClassOption taskOption
StringOption streamParameterOption
FloatOption firstValueOption
FloatOption lastValueOption
FloatOption incrementValueOption
Task task
ClassOption taskOption
StringOption classifierParameterOption
FloatOption firstValueOption
FloatOption lastValueOption
FloatOption incrementValueOption
Task task
ClassOption streamOption
FileOption arffFileOption
IntOption maxInstancesOption
FlagOption suppressHeaderOption
IntOption numStreamsOption
FlagOption randomFlagOne
StringOption randomOneOption
FlagOption randomFlagTwo
StringOption randomTwoOption
InstanceStream stream
ClassOption streamOption
FileOption arffFileOption
IntOption maxInstancesOption
FlagOption suppressHeaderOption
ClassOptionWithListenerOption prequentialEvaluationTaskOption
EditableMultiChoiceOption variedParamNameOption
ListOption variedParamValuesOption
ArrayList<E> subtasks
ArrayList<E> subtaskThreads
ArrayList<E> flattenedSubtaskThreads
Color[] subTaskColorCoding
int partitionIdx
ClassOption learnerOption
ClassOption streamOption
ClassOption evaluatorOption
IntOption instanceLimitOption
IntOption timeLimitOption
IntOption sampleFrequencyOption
FileOption dumpFileOption
double[] m_Betas
int m_NumIterationsPerformed
int m_WeightThreshold
boolean m_UseResampling
int m_NumClasses
weka.classifiers.Classifier m_ZeroR
weka.core.Instances m_TrainingData
Random m_RandomInstance
weka.attributeSelection.AttributeSelection m_AttributeSelection
weka.attributeSelection.ASEvaluation m_Evaluator
weka.attributeSelection.ASSearch m_Search
weka.core.Instances m_ReducedHeader
int m_numClasses
double m_numAttributesSelected
double m_selectionTime
double m_totalTime
int m_BagSizePercent
boolean m_CalcOutOfBag
boolean m_RepresentUsingWeights
weka.classifiers.evaluation.Evaluation m_OutOfBagEvaluationObject
boolean m_StoreOutOfBagPredictions
boolean m_OutputOutOfBagComplexityStatistics
boolean m_Numeric
boolean m_printClassifiers
Random m_random
boolean[][] m_inBag
weka.core.Instances m_data
List<E> m_classifiersCache
weka.classifiers.Classifier[] m_Classifiers
weka.filters.unsupervised.attribute.MakeIndicator[] m_ClassFilters
String[] m_ClassifierOptions
String[] m_BestClassifierOptions
String[] m_InitOptions
double m_BestPerformance
Vector<E> m_CVParams
int m_NumAttributes
int m_TrainFoldSize
int m_NumFolds
String m_ParamChar
double m_Lower
double m_Upper
double m_Steps
double m_ParamValue
boolean m_AddAtEnd
boolean m_RoundParam
weka.filters.Filter m_Filter
weka.core.Instances m_FilteredInstances
boolean m_DoNotCheckForModifiedClassAttribute
weka.filters.unsupervised.attribute.Reorder m_ReorderOriginal
weka.filters.unsupervised.attribute.Reorder m_ReorderFiltered
weka.classifiers.IterativeClassifier m_IterativeClassifier
int m_NumFolds
int m_NumRuns
int m_StepSize
boolean m_UseAverage
int m_lookAheadIterations
String m_evalMetric
int m_classValueIndex
double[] m_thresholds
double m_bestResult
int m_bestNumIts
int m_numThreads
int m_poolSize
double m_splitPercentage
boolean m_preserveOrderInPercentageSplitEvaluation
ArrayList<E> m_Classifiers
int m_NumClasses
int m_NumGenerated
int m_WeightThreshold
weka.core.Instances m_NumericClassData
weka.core.Attribute m_ClassAttribute
boolean m_UseResampling
double m_Precision
double m_Shrinkage
boolean m_UseEstimatedPriors
Random m_RandomInstance
double m_Offset
weka.classifiers.Classifier m_ZeroR
double[] m_InitialFs
double m_zMax
double[][] m_trainYs
double[][] m_trainFs
double[][] m_probs
double m_logLikelihood
double m_sumOfWeights
weka.core.Instances m_data
int m_numThreads
int m_poolSize
Classifier m_ActualClassifier
ClassOption m_Classifier
WekaToSamoaInstanceConverter instanceConverter
weka.classifiers.Classifier[] m_Classifiers
boolean m_pairwiseCoupling
double[] m_SumOfWeights
weka.filters.Filter[] m_ClassFilters
weka.classifiers.rules.ZeroR m_ZeroR
weka.core.Attribute m_ClassAttribute
weka.core.Instances m_TwoClassDataset
double m_RandomWidthFactor
boolean m_logLossDecoding
int m_Method
weka.classifiers.Classifier m_Classifier
int m_ClassifierIndex
int m_NumXValFolds
weka.classifiers.meta.multisearch.AbstractSearch.SearchResult m_BestClassifier
weka.classifiers.meta.multisearch.AbstractEvaluationFactory<M extends weka.classifiers.meta.multisearch.AbstractEvaluationMetrics,W extends weka.classifiers.meta.multisearch.AbstractEvaluationWrapper,T extends weka.classifiers.meta.multisearch.AbstractEvaluationTask,E> m_Factory
weka.classifiers.meta.multisearch.AbstractEvaluationMetrics m_Metrics
int m_Evaluation
weka.core.SingleIndex m_ClassLabel
File m_LogFile
weka.core.setupgenerator.AbstractParameter[] m_DefaultParameters
weka.core.setupgenerator.AbstractParameter[] m_Parameters
weka.classifiers.meta.multisearch.AbstractSearch m_Algorithm
weka.core.SetupGenerator m_Generator
List<E> m_Trace
weka.core.Instances m_data
double m_SubSpaceSize
weka.classifiers.Classifier m_ZeroR
weka.core.Instances m_data
weka.filters.unsupervised.attribute.Discretize m_Discretizer
int m_NumBins
double[] m_ClassMeans
int[] m_ClassCounts
boolean m_DeleteEmptyBins
int[] m_OldIndexToNewIndex
weka.core.Instances m_DiscretizedHeader
boolean m_UseEqualFrequency
boolean m_MinimizeAbsoluteError
weka.estimators.UnivariateDensityEstimator m_Estimator
double[] m_OriginalTargetValues
int[] m_NewTargetValues
weka.classifiers.Classifier m_MetaClassifier
weka.core.Instances m_MetaFormat
weka.core.Instances m_BaseFormat
int m_NumFolds
boolean m_ForceResampleWithWeights
weka.core.Instances m_Dataset
double[] m_AttValues
double m_Weight
double[] m_Elements
String m_Name
int m_Type
weka.core.AttributeInfo m_AttributeInfo
int m_Index
double m_Weight
weka.core.AttributeMetaInfo m_AttributeMetaInfo
weka.core.ProtectedProperties m_Metadata
int m_Ordering
boolean m_IsRegular
boolean m_IsAveragable
boolean m_HasZeropoint
double m_LowerBound
boolean m_LowerBoundIsOpen
double m_UpperBound
boolean m_UpperBoundIsOpen
int intCount
int realCount
int missingCount
int distinctCount
int uniqueCount
int totalCount
weka.experiment.Stats numericStats
int[] nominalCounts
double[] nominalWeights
weka.core.CapabilitiesHandler m_Owner
HashSet<E> m_Capabilities
HashSet<E> m_Dependencies
HashSet<E> m_InterfaceDefinedCapabilities
Exception m_FailReason
int m_MinimumNumberInstances
boolean m_Test
boolean m_InstancesTest
boolean m_AttributeTest
boolean m_MissingValuesTest
boolean m_MissingClassValuesTest
boolean m_MinimumNumberInstancesTest
SimpleDateFormat m_DateFormat
boolean m_Enabled
weka.core.Debug.Log m_Log
weka.core.Debug.Clock m_Clock
int m_OutputFormat
long m_Start
long m_Stop
boolean m_Running
long m_ThreadID
boolean m_CanMeasureCpuTime
boolean m_UseCpuTime
boolean m_verboseOn
weka.core.Range m_outputTypes
String m_Filename
int m_Size
int m_NumFiles
boolean m_LoggerInitFailed
boolean m_Debug
long m_ID
weka.core.Debug.Log m_Log
String m_Filename
Date m_Stamp
String m_Format
SimpleDateFormat m_Formatter
weka.core.Instances m_inputFormat
weka.core.Instances m_outputFormat
Map<K,V>[] m_dictsPerClass
Map<K,V> m_consolidatedDict
boolean m_doNotOperateOnPerClassBasis
boolean m_outputCounts
boolean m_lowerCaseTokens
weka.core.stemmers.Stemmer m_stemmer
weka.core.stopwords.StopwordsHandler m_stopwordsHandler
int m_wordsToKeep
long m_periodicPruneRate
int m_minFrequency
int m_count
weka.core.tokenizers.Tokenizer m_tokenizer
weka.core.Range m_selectedRange
int m_classIndex
int m_numClasses
String m_Prefix
boolean m_TFTransform
boolean m_IDFTransform
boolean m_normalize
double m_docLengthSum
double m_avgDocLength
boolean m_sortDictionary
boolean m_inputContainsStringAttributes
weka.core.DistanceFunction m_Distance
weka.filters.Filter m_Filter
weka.filters.unsupervised.attribute.Remove m_Remove
boolean m_IncludeClass
weka.core.Range m_Range
weka.core.matrix.Matrix m_Matrix
double m_Order
weka.core.Instances m_Data
boolean m_DontNormalize
double[][] m_Ranges
weka.core.Range m_AttributeIndices
boolean[] m_ActiveIndices
boolean m_Validated
boolean closed
weka.core.Queue.QueueNode m_Head
weka.core.Queue.QueueNode m_Tail
int m_Size
weka.core.Queue.QueueNode m_Next
Object m_Contents
weka.core.Instances m_Header
int m_Selected
weka.core.Tag[] m_Tags
byte[] m_storedObjectArray
boolean m_isCompressed
boolean m_isJython
Serializable m_BaseObject
weka.core.setupgenerator.AbstractParameter[] m_Parameters
boolean m_Initialized
weka.core.setupgenerator.Space m_Space
String m_IndexString
int m_SelectedIndex
int m_Upper
int[] m_Indices
int m_NumAttributes
String[] m_Words
String m_WordSeparators
String m_Relation
int m_Seed
Random m_Random
int m_NumInstances
int m_ClassType
int m_NumClasses
int m_ClassIndex
int m_NumNominal
int m_NumNominalValues
int m_NumNumeric
int m_NumString
int m_NumDate
int m_NumRelational
int m_NumRelationalNominal
int m_NumRelationalNominalValues
int m_NumRelationalNumeric
int m_NumRelationalString
int m_NumRelationalDate
boolean m_MultiInstance
int m_NumInstancesRelational
weka.core.Instances[] m_RelationalFormat
weka.core.Instances m_RelationalClassFormat
weka.core.Instances m_Data
weka.core.CapabilitiesHandler m_Handler
weka.core.Trie.TrieNode m_Root
int m_HashCode
boolean m_RecalcHashCode
int m_Function
boolean m_BalanceClass
double m_PerturbationFraction
boolean m_nextClassShouldBeZero
double m_lastLabel
weka.classifiers.bayes.net.BayesNetGenerator m_Generator
double m_NoisePercent
int m_numIrrelevantAttributes
InstanceStream m_ActualGenerator
ClassOption m_Generator
SamoaToWekaInstanceConverter instanceConverter
int m_NumAttributes
int m_NumClasses
int m_NumCentroids
double[][] m_centroids
int[] m_centroidClasses
double[] m_centroidWeights
double[] m_centroidStdDevs
int m_NumAttributes
int m_NumClasses
int m_MaxRuleSize
int m_MinRuleSize
int m_NumIrrelevant
int m_NumNumeric
boolean m_VoteFlag
ArrayList<E> m_DecisionList
boolean[] m_AttList_Irr
weka.gui.PerspectiveManager m_perspectiveManager
weka.core.Settings m_applicationSettings
boolean m_isActive
boolean m_isLoaded
weka.gui.GUIApplication m_mainApplication
String m_perspectiveTitle
String m_perspectiveID
String m_perspectiveTipText
Icon m_perspectiveIcon
weka.gui.Logger m_log
JTable m_Table
weka.gui.AttributeListPanel.AttributeTableModel m_Model
JLabel m_AttributeNameLab
JLabel m_AttributeWeightLab
JLabel m_WeightLab
JLabel m_AttributeTypeLab
JLabel m_MissingLab
JLabel m_UniqueLab
JLabel m_DistinctLab
JTable m_StatsTable
weka.core.Instances m_Instances
weka.core.AttributeStats[] m_AttributeStats
boolean m_allEqualWeights
weka.core.Instances m_data
weka.core.AttributeStats m_as
weka.core.AttributeStats[] m_asCache
int m_attribIndex
double m_maxValue
double[] m_histBarCounts
weka.core.SparseInstance[] m_histBarClassCounts
double m_barRange
int m_classIndex
Thread m_hc
boolean m_threadRun
boolean m_doneCurrentAttribute
boolean m_displayCurrentAttribute
JComboBox<E> m_colorAttrib
FontMetrics m_fm
Integer m_locker
ArrayList<E> m_colorList
JTabbedPane m_enclosingPane
JLabel m_tabLabel
weka.gui.CloseableTabTitle.TabButton m_tabButton
weka.gui.CloseableTabTitle.ClosingCallback m_callback
String m_closeAccelleratorText
weka.gui.ConverterFileChooser m_Self
int m_DialogType
Object m_CurrentConverter
JButton m_ConfigureButton
PropertyChangeListener m_Listener
FileFilter m_LastFilter
weka.core.Capabilities m_CapabilitiesFilter
boolean m_OverwriteWarning
boolean m_FileMustExist
JCheckBox m_CheckBoxOptions
JLabel m_LabelOptions
weka.gui.GenericObjectEditor m_Editor
int m_EditorResult
boolean m_CoreConvertersOnly
weka.gui.visualize.VisualizePanel m_performancePanel
weka.gui.visualize.VisualizePanel m_costBenefitPanel
weka.core.Attribute m_classAttribute
weka.gui.visualize.PlotData2D m_masterPlot
weka.gui.visualize.PlotData2D m_costBenefit
int[] m_shapeSizes
int m_previousShapeIndex
JSlider m_thresholdSlider
JRadioButton m_percPop
JRadioButton m_percOfTarget
JRadioButton m_threshold
JLabel m_percPopLab
JLabel m_percOfTargetLab
JLabel m_thresholdLab
JLabel m_conf_predictedA
JLabel m_conf_predictedB
JLabel m_conf_actualA
JLabel m_conf_actualB
weka.gui.CostBenefitAnalysisPanel.ConfusionCell m_conf_aa
weka.gui.CostBenefitAnalysisPanel.ConfusionCell m_conf_ab
weka.gui.CostBenefitAnalysisPanel.ConfusionCell m_conf_ba
weka.gui.CostBenefitAnalysisPanel.ConfusionCell m_conf_bb
JLabel m_cost_predictedA
JLabel m_cost_predictedB
JLabel m_cost_actualA
JLabel m_cost_actualB
JTextField m_cost_aa
JTextField m_cost_ab
JTextField m_cost_ba
JTextField m_cost_bb
JButton m_maximizeCB
JButton m_minimizeCB
JRadioButton m_costR
JRadioButton m_benefitR
JLabel m_costBenefitL
JLabel m_costBenefitV
JLabel m_randomV
JLabel m_gainV
int m_originalPopSize
JTextField m_totalPopField
int m_totalPopPrevious
JLabel m_classificationAccV
double m_tpPrevious
double m_fpPrevious
double m_tnPrevious
double m_fnPrevious
JTextField m_DbaseURLText
JLabel m_DbaseURLLab
JTextField m_UserNameText
JLabel m_UserNameLab
JPasswordField m_PasswordText
JLabel m_PasswordLab
JCheckBox m_DebugCheckBox
JLabel m_DebugLab
int m_returnValue
JLabel m_label
JComboBox<E> m_combo
weka.core.Environment m_env
String m_currentContents
int m_firstCaretPos
int m_previousCaretPos
int m_currentCaretPos
PropertyChangeSupport m_support
boolean m_layingOut
Color MAC_FOCUSED_SELECTED_CELL_HORIZONTAL_LINE_COLOR
Color MAC_UNFOCUSED_SELECTED_CELL_HORIZONTAL_LINE_COLOR
Color MAC_UNFOCUSED_SELECTED_CELL_BACKGROUND_COLOR
Color MAC_FOCUSED_UNSELECTED_VERTICAL_LINE_COLOR
Color MAC_FOCUSED_SELECTED_VERTICAL_LINE_COLOR
Color MAC_UNFOCUSED_UNSELECTED_VERTICAL_LINE_COLOR
Color MAC_UNFOCUSED_SELECTED_VERTICAL_LINE_COLOR
Color MAC_OS_ALTERNATE_ROW_COLOR
weka.gui.FileEditor m_fileEditor
weka.gui.PropertyDialog m_fileEditorDialog
JButton m_browseBut
JDialog m_Self
JPopupMenu m_Popup
weka.core.Capabilities m_Capabilities
JLabel m_InfoLabel
weka.gui.CheckBoxList m_List
JButton m_OkButton
JButton m_CancelButton
weka.core.Capabilities m_Capabilities
String m_toolTipText
JPopupMenu m_Self
JTree m_tree
JScrollPane m_scroller
JButton m_FilterButton
JButton m_RemoveFilterButton
JButton m_CloseButton
Object m_HistoryItem
weka.core.Settings m_settings
weka.gui.GUIChooserApp m_Self
JMenuBar m_jMenuBar
JMenu m_jMenuProgram
JMenu m_jMenuVisualization
JMenu m_jMenuTools
JMenu m_jMenuHelp
Vector<E> m_Frames
JPanel m_PanelApplications
JButton m_WorkbenchBut
JButton m_ExplorerBut
JButton m_ExperimenterBut
JButton m_KnowledgeFlowBut
JButton m_SimpleBut
Image m_weka
JFileChooser m_FileChooserTreeVisualizer
JFileChooser m_FileChooserGraphVisualizer
JFileChooser m_FileChooserPlot
JFileChooser m_FileChooserROC
Image m_Icon
HashSet<E> m_ChildFrames
weka.gui.GUIChooserApp m_Parent
weka.gui.HierarchyPropertyParser.TreeNode m_Root
weka.gui.HierarchyPropertyParser.TreeNode m_Current
String m_Seperator
int m_Depth
String[] m_columnNames
JTable m_table
JScrollPane m_scroller
weka.gui.InteractiveTableModel m_tableModel
weka.gui.Main m_Self
int m_GUIType
HashSet<E> m_ChildFrames
JFileChooser m_FileChooserTreeVisualizer
JFileChooser m_FileChooserGraphVisualizer
JFileChooser m_FileChooserPlot
JFileChooser m_FileChooserROC
JMenu jMenuHelp
JMenu jMenuVisualization
JMenu jMenuTools
JDesktopPane jDesktopPane
JMenu jMenuApplications
JMenuItem jMenuItemHelpSystemInfo
JMenuItem jMenuItemHelpAbout
JMenuItem jMenuItemHelpHomepage
JMenuItem jMenuItemHelpWekaWiki
JMenuItem jMenuItemHelpSourceforge
JMenuItem jMenuItemVisualizationBoundaryVisualizer
JMenuItem jMenuItemVisualizationGraphVisualizer
JMenuItem jMenuItemVisualizationTreeVisualizer
JMenuItem jMenuItemVisualizationROC
JMenuItem jMenuItemVisualizationPlot
JMenuItem jMenuItemToolsSqlViewer
JMenuItem jMenuItemToolsGroovyConsole
JMenuItem jMenuItemToolsJythonConsole
JMenuItem jMenuItemToolsArffViewer
JMenuItem jMenuItemApplicationsSimpleCLI
JMenuItem jMenuItemApplicationsKnowledgeFlow
JMenuItem jMenuItemApplicationsExperimenter
JMenuItem jMenuItemApplicationsExplorer
JMenuItem jMenuItemProgramExit
JMenuItem jMenuItemProgramLogWindow
JMenuItem jMenuItemProgramMemoryUsage
JMenu jMenuProgram
JMenu jMenuExtensions
JMenu jMenuWindows
JMenuBar jMenuBar
Image m_Background
weka.gui.Main m_Parent
weka.gui.Main m_Parent
Vector<E> m_History
weka.core.Memory m_Memory
weka.gui.MemoryUsagePanel.MemoryMonitor m_Monitor
JButton m_ButtonGC
Vector<E> m_Percentages
Hashtable<K,V> m_Colors
Color m_DefaultColor
Color m_BackgroundColor
Point m_FrameLocation
JTable m_table
JSplitPane m_splitP
JEditorPane m_infoPane
JRadioButton m_installedBut
JRadioButton m_availableBut
JRadioButton m_allBut
JButton m_installBut
JCheckBox m_forceBut
JButton m_uninstallBut
JButton m_refreshCacheBut
JButton m_toggleLoad
JProgressBar m_progress
JLabel m_detailLabel
JButton m_backB
LinkedList<E> m_browserHistory
JButton m_homeB
JToolBar m_browserTools
JLabel m_newPackagesAvailableL
DefaultTableModel m_model
Map<K,V> m_packageLookupInfo
List<E> m_allPackages
List<E> m_installedPackages
List<E> m_availablePackages
Map<K,V> m_packageDescriptions
List<E> m_searchResults
JTextField m_searchField
JLabel m_searchHitsLab
int m_sortColumn
boolean m_reverseSort
JButton m_unofficialBut
weka.gui.FileEnvironmentField m_unofficialChooser
JFrame m_unofficialFrame
Comparator<T> m_packageComparator
boolean m_installing
boolean m_cacheEstablished
boolean m_cacheRefreshInProgress
JPasswordField m_password
JLabel m_label
PropertyChangeSupport m_support
JToolBar m_perspectiveToolBar
ButtonGroup m_perspectiveGroup
weka.gui.GUIApplication m_mainApp
Map<K,V> m_perspectiveCache
Map<K,V> m_perspectiveNameLookup
List<E> m_perspectives
LinkedHashSet<E> m_visiblePerspectives
List<E> m_allowedPerspectiveClassPrefixes
List<E> m_disallowedPerspectiveClassPrefixes
weka.gui.Perspective m_mainPerspective
boolean m_configAndPerspectivesVisible
JPanel m_configAndPerspectivesToolBar
JMenuBar m_appMenuBar
JMenu m_programMenu
JMenuItem m_togglePerspectivesToolBar
weka.gui.LogPanel m_LogPanel
boolean m_logVisible
LinkedList<E> m_userVisiblePerspectives
boolean m_perspectivesToolbarVisibleOnStartup
boolean m_perspectivesToolbarAlwaysHidden
PropertyEditor m_Editor
Component m_EditorComponent
PropertyEditor m_Editor
weka.gui.PropertyDialog m_PD
boolean m_HasCustomPanel
JPanel m_CustomPanel
Object m_Target
boolean m_showAboutPanel
weka.gui.beans.GOECustomizer m_Customizer
PropertyDescriptor[] m_Properties
MethodDescriptor[] m_Methods
PropertyEditor[] m_Editors
Object[] m_Values
JComponent[] m_Views
JLabel[] m_Labels
String[] m_TipTexts
StringBuffer m_HelpText
JDialog m_HelpDialog
weka.gui.PropertySheetPanel.CapabilitiesHelpDialog m_CapabilitiesDialog
JButton m_HelpBut
JButton m_CapabilitiesBut
JTextArea m_CapabilitiesText
int m_NumEditable
JPanel m_aboutPanel
boolean m_useEnvironmentPropertyEditors
PropertyChangeSupport support
weka.gui.PropertySheetPanel.CapabilitiesHelpDialog m_Self
JTextComponent m_SingleText
String m_SingleName
DefaultListModel<E> m_Model
JList<E> m_List
Hashtable<K,V> m_Results
Hashtable<K,V> m_FramedOutput
Hashtable<K,V> m_Objs
boolean m_HandleRightClicks
weka.gui.visualize.PrintableComponent m_Printer
JButton m_OpenFileBut
JButton m_OpenURLBut
JButton m_CloseBut
weka.gui.InstancesSummaryPanel m_Summary
JLabel m_ClassLabel
JComboBox<E> m_ClassComboBox
weka.gui.ConverterFileChooser m_FileChooser
String m_LastURL
Thread m_IOThread
PropertyChangeSupport m_Support
weka.core.Instances m_Instances
weka.core.converters.Loader m_Loader
JFrame m_ParentFrame
JPanel m_CloseButPanel
boolean m_readIncrementally
boolean m_showZeroInstancesAsUnknown
boolean m_showClassComboBox
weka.gui.GUIApplication m_ownerApp
weka.core.Settings m_settings
JTabbedPane m_settingsTabs
weka.gui.SettingsEditor.PerspectiveSelector m_perspectiveSelector
List<E> m_perspectiveEditors
weka.gui.GUIApplication m_mainApp
Icon m_perspectiveIcon
JTextPane m_OutputArea
JTextField m_Input
Vector<E> m_CommandHistory
int m_HistoryPos
Thread m_RunThread
weka.gui.SimpleCLIPanel.CommandlineCompletion m_Completion
TableModel mModel
int[] mIndices
int mSortColumn
boolean mAscending
weka.gui.explorer.PreprocessPanel m_mainPerspective
weka.core.Settings m_workbenchSettings
Dimension preferredLayoutSize
Copyright © 2019 University of Waikato, Hamilton, NZ. All Rights Reserved.