Serialized Form (MOA: Massive Online Analysis 2019.05.0 API)

Package com.github.javacliparser
- Class com.github.javacliparser.AbstractClassOption extends AbstractOption implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - currentValue
```
java.lang.Object currentValue
```
      The current object
    - defaultCLIString
```
java.lang.String defaultCLIString
```
      The default command line interface text.
    - nullString
```
java.lang.String nullString
```
      The null text.
    - requiredType
```
java.lang.Class<T extends java.lang.Object> requiredType
```
      The class type
- Class com.github.javacliparser.AbstractOption extends java.lang.Object implements Serializable
  - Serialized Fields
    - cliChar
```
char cliChar
```
      Command line interface text of this option.
    - name
```
java.lang.String name
```
      Name of this option.
    - purpose
```
java.lang.String purpose
```
      Text of the purpose of this option.
- Class com.github.javacliparser.ClassOption extends AbstractClassOption implements Serializable
  
  serialVersionUID:
  
  1L
- Class com.github.javacliparser.FileOption extends StringOption implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - defaultFileExtension
```
java.lang.String defaultFileExtension
```
    - isOutputFile
```
boolean isOutputFile
```
- Class com.github.javacliparser.FlagOption extends AbstractOption implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - isSet
```
boolean isSet
```
- Class com.github.javacliparser.FloatOption extends AbstractOption implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - currentVal
```
double currentVal
```
    - defaultVal
```
double defaultVal
```
    - maxVal
```
double maxVal
```
    - minVal
```
double minVal
```
- Class com.github.javacliparser.IntOption extends AbstractOption implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - currentVal
```
int currentVal
```
    - defaultVal
```
int defaultVal
```
    - maxVal
```
int maxVal
```
    - minVal
```
int minVal
```
- Class com.github.javacliparser.JavaCLIParser extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - classOptionNamesToPreparedObjects
```
java.util.Map<K extends java.lang.Object,V extends java.lang.Object> classOptionNamesToPreparedObjects
```
      Dictionary with option texts and objects
    - handler
```
java.lang.Object handler
```
    - options
```
Options options
```
      Options to handle
- Class com.github.javacliparser.ListOption extends AbstractOption implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - currentList
```
Option[] currentList
```
    - defaultList
```
Option[] defaultList
```
    - expectedType
```
Option expectedType
```
    - separatorChar
```
char separatorChar
```
- Class com.github.javacliparser.MultiChoiceOption extends AbstractOption implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - chosenOptionIndex
```
int chosenOptionIndex
```
    - defaultOptionIndex
```
int defaultOptionIndex
```
    - optionDescriptions
```
java.lang.String[] optionDescriptions
```
    - optionLabels
```
java.lang.String[] optionLabels
```
- Class com.github.javacliparser.Options extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - optionList
```
java.util.List<E extends java.lang.Object> optionList
```
- Class com.github.javacliparser.RangeOption extends StringOption implements Serializable
  
  serialVersionUID:
  
  1L
- Class com.github.javacliparser.StringOption extends AbstractOption implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - currentVal
```
java.lang.String currentVal
```
    - defaultVal
```
java.lang.String defaultVal
```
Package com.github.javacliparser.gui
- Class com.github.javacliparser.gui.ClassOptionEditComponent extends javax.swing.JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - changeListeners
```
java.util.HashSet<E extends java.lang.Object> changeListeners
```
      listeners that listen to changes to the chosen option.
    - editButton
```
javax.swing.JButton editButton
```
    - editedOption
```
ClassOption editedOption
```
    - midUpdate
```
boolean midUpdate
```
      Flag that says the text field is in the middle of an update operation. This is to prevent two change notifications from going out when the update is implemented as a remove followed by an insert.
    - textField
```
javax.swing.JTextField textField
```
- Class com.github.javacliparser.gui.ClassOptionWithNamesEditComponent extends javax.swing.JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - changeListeners
```
java.util.HashSet<E extends java.lang.Object> changeListeners
```
      listeners that listen to changes to the chosen option.
    - editButton
```
javax.swing.JButton editButton
```
    - editedOption
```
ClassOptionWithNames editedOption
```
    - textField
```
javax.swing.JTextField textField
```
- Class com.github.javacliparser.gui.FileOptionEditComponent extends javax.swing.JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - browseButton
```
javax.swing.JButton browseButton
```
    - editedOption
```
FileOption editedOption
```
    - textField
```
javax.swing.JTextField textField
```
- Class com.github.javacliparser.gui.FlagOptionEditComponent extends javax.swing.JCheckBox implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - editedOption
```
FlagOption editedOption
```
- Class com.github.javacliparser.gui.FloatOptionEditComponent extends javax.swing.JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - editedOption
```
FloatOption editedOption
```
    - slider
```
javax.swing.JSlider slider
```
    - spinner
```
javax.swing.JSpinner spinner
```
- Class com.github.javacliparser.gui.IntOptionEditComponent extends javax.swing.JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - editedOption
```
IntOption editedOption
```
    - slider
```
javax.swing.JSlider slider
```
    - spinner
```
javax.swing.JSpinner spinner
```
- Class com.github.javacliparser.gui.ListOptionEditComponent extends StringOptionEditComponent implements Serializable
  
  serialVersionUID:
  
  1L
- Class com.github.javacliparser.gui.MultiChoiceOptionEditComponent extends javax.swing.JComboBox<java.lang.String> implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - editedOption
```
MultiChoiceOption editedOption
```
- Class com.github.javacliparser.gui.OptionsConfigurationPanel extends javax.swing.JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - editComponents
```
java.util.List<E extends java.lang.Object> editComponents
```
    - helpButton
```
javax.swing.JButton helpButton
```
    - options
```
Options options
```
    - resetButton
```
javax.swing.JButton resetButton
```
- Class com.github.javacliparser.gui.RangeOptionEditComponent extends StringOptionEditComponent implements Serializable
- Class com.github.javacliparser.gui.StringOptionEditComponent extends javax.swing.JTextField implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - editedOption
```
Option editedOption
```
Package com.yahoo.labs.samoa.instances
- Class com.yahoo.labs.samoa.instances.Attribute extends java.lang.Object implements Serializable
  - Serialized Fields
    - attributeValues
```
java.util.List<E extends java.lang.Object> attributeValues
```
      The attribute values.
    - isDate
```
boolean isDate
```
      The is date.
    - isNominal
```
boolean isNominal
```
      The is nominal.
    - isNumeric
```
boolean isNumeric
```
      The is numeric.
    - m_DateFormat
```
java.text.SimpleDateFormat m_DateFormat
```
      Date format specification for date attributes
    - name
```
java.lang.String name
```
      The name.
    - valuesStringAttribute
```
java.util.Map<K extends java.lang.Object,V extends java.lang.Object> valuesStringAttribute
```
      The values string attribute.
- Class com.yahoo.labs.samoa.instances.AttributesInformation extends java.lang.Object implements Serializable
  - Serialized Fields
    - attributes
```
Attribute[] attributes
```
      The attribute information.
    - defaultNumericAttribute
```
Attribute defaultNumericAttribute
```
      The attribute used for default for numerical values
    - indexValues
```
int[] indexValues
```
    - numberAttributes
```
int numberAttributes
```
      The number of attributes.
- Class com.yahoo.labs.samoa.instances.DenseInstance extends InstanceImpl implements Serializable
- Class com.yahoo.labs.samoa.instances.DenseInstanceData extends java.lang.Object implements Serializable
  - Serialized Fields
    - attributeValues
```
double[] attributeValues
```
      The attribute values.
- Class com.yahoo.labs.samoa.instances.FilteredSparseInstance extends SparseInstance implements Serializable
- Class com.yahoo.labs.samoa.instances.FilteredSparseInstanceData extends SparseInstanceData implements Serializable
- Class com.yahoo.labs.samoa.instances.InstanceImpl extends java.lang.Object implements Serializable
  - Serialized Fields
    - instanceData
```
InstanceData instanceData
```
      The instance data.
    - instanceHeader
```
InstancesHeader instanceHeader
```
      The instance information.
    - weight
```
double weight
```
      The weight.
- Class com.yahoo.labs.samoa.instances.InstanceInformation extends java.lang.Object implements Serializable
  - Serialized Fields
    - attributesInformation
```
AttributesInformation attributesInformation
```
    - classIndex
```
int classIndex
```
      The class index.
    - range
```
Range range
```
      Range for multi-label instances.
    - relationName
```
java.lang.String relationName
```
      The dataset's name.
- Class com.yahoo.labs.samoa.instances.Instances extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  8110510475535581577L
  - Serialized Fields
    - arff
```
ArffLoader arff
```
      The arff.
    - hsAttributesIndices
```
java.util.HashMap<K extends java.lang.Object,V extends java.lang.Object> hsAttributesIndices
```
      A Hash that stores the indices of features.
    - indicesIrrelevants
```
int[] indicesIrrelevants
```
      Indices of irrelevant features.
    - indicesRelevants
```
int[] indicesRelevants
```
      Indices of relevant features.
    - instanceInformation
```
InstanceInformation instanceInformation
```
      The instance information.
    - instances
```
java.util.List<E extends java.lang.Object> instances
```
      The instances.
- Class com.yahoo.labs.samoa.instances.InstancesHeader extends Instances implements Serializable
  
  serialVersionUID:
  
  1L
- Class com.yahoo.labs.samoa.instances.MultiLabelPrediction extends java.lang.Object implements Serializable
  - Serialized Fields
    - prediction
```
DoubleVector[] prediction
```
- Class com.yahoo.labs.samoa.instances.Range extends java.lang.Object implements Serializable
  - Serialized Fields
    - end
```
int end
```
    - rangeText
```
java.lang.String rangeText
```
    - start
```
int start
```
    - upperLimit
```
int upperLimit
```
- Class com.yahoo.labs.samoa.instances.SamoaToWekaInstanceConverter extends java.lang.Object implements Serializable
  - Serialized Fields
    - wekaInstanceInformation
```
weka.core.Instances wekaInstanceInformation
```
      The weka instance information.
- Class com.yahoo.labs.samoa.instances.SparseInstance extends InstanceImpl implements Serializable
- Class com.yahoo.labs.samoa.instances.SparseInstanceData extends java.lang.Object implements Serializable
  - Serialized Fields
    - attributeValues
```
double[] attributeValues
```
      The attribute values.
    - indexValues
```
int[] indexValues
```
      The index values.
    - numberAttributes
```
int numberAttributes
```
      The number of attributes.
- Class com.yahoo.labs.samoa.instances.WekaToSamoaInstanceConverter extends java.lang.Object implements Serializable
  - Serialized Fields
    - samoaInstanceInformation
```
Instances samoaInstanceInformation
```
Package moa
- Class moa.AbstractMOAObject extends java.lang.Object implements Serializable
Package moa.classifiers
- Class moa.classifiers.AbstractClassifier extends AbstractOptionHandler implements Serializable
  - Serialized Fields
    - classifierRandom
```
java.util.Random classifierRandom
```
      Random Generator used in randomizable learners
    - modelContext
```
InstancesHeader modelContext
```
      Header of the instances of the data stream
    - randomSeed
```
int randomSeed
```
      Random seed used in randomizable learners
    - randomSeedOption
```
IntOption randomSeedOption
```
      Option for randomizable learners to change the random seed
    - trainingWeightSeenByModel
```
double trainingWeightSeenByModel
```
      Sum of the weights of the instances trained by this model
- Class moa.classifiers.AbstractMultiLabelLearner extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
Package moa.classifiers.active
- Class moa.classifiers.active.ALRandom extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - budgetManager
```
BudgetManager budgetManager
```
    - budgetManagerOption
```
ClassOption budgetManagerOption
```
    - classifier
```
Classifier classifier
```
- Class moa.classifiers.active.ALUncertainty extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - accuracyBaseLearner
```
double accuracyBaseLearner
```
    - activeLearningStrategyOption
```
MultiChoiceOption activeLearningStrategyOption
```
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - budgetOption
```
FloatOption budgetOption
```
    - classifier
```
Classifier classifier
```
    - costLabeling
```
int costLabeling
```
    - fixedThresholdOption
```
FloatOption fixedThresholdOption
```
    - iterationControl
```
int iterationControl
```
    - lastLabelAcq
```
int lastLabelAcq
```
    - maxPosterior
```
double maxPosterior
```
    - newThreshold
```
double newThreshold
```
    - numInstancesInitOption
```
FloatOption numInstancesInitOption
```
    - outPosterior
```
double outPosterior
```
    - stepOption
```
FloatOption stepOption
```
Package moa.classifiers.active.budget
- Class moa.classifiers.active.budget.FixedBM extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - acquisitionReport
```
int acquisitionReport
```
    - budgetOption
```
FloatOption budgetOption
```
Package moa.classifiers.bayes
- Class moa.classifiers.bayes.NaiveBayes extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - attributeObservers
```
AutoExpandVector<T> attributeObservers
```
    - observedClassDistribution
```
DoubleVector observedClassDistribution
```
- Class moa.classifiers.bayes.NaiveBayesMultinomial extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  -7204398796974263187L
  - Serialized Fields
    - laplaceCorrectionOption
```
FloatOption laplaceCorrectionOption
```
    - m_classTotals
```
double[] m_classTotals
```
      sum of weight_of_instance * word_count_of_instance for each class
    - m_headerInfo
```
Instances m_headerInfo
```
      copy of header information for use in toString method
    - m_numClasses
```
int m_numClasses
```
      number of class values
    - m_probOfClass
```
double[] m_probOfClass
```
      the probability of a class (i.e. Pr[H])
    - m_wordTotalForClass
```
DoubleVector[] m_wordTotalForClass
```
      probability that a word (w) exists in a class (H) (i.e. Pr[w|H]) The matrix is in the this format: m_wordTotalForClass[wordAttribute][class]
    - reset
```
boolean reset
```
Package moa.classifiers.core
- Class moa.classifiers.core.AttributeSplitSuggestion extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - merit
```
double merit
```
    - resultingClassDistributions
```
double[][] resultingClassDistributions
```
    - splitTest
```
InstanceConditionalTest splitTest
```
Package moa.classifiers.core.attributeclassobservers
- Class moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserver extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - root
```
BinaryTreeNumericAttributeClassObserver.Node root
```
- Class moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserver.Node extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - classCountsLeft
```
DoubleVector classCountsLeft
```
    - classCountsRight
```
DoubleVector classCountsRight
```
    - cut_point
```
double cut_point
```
    - left
```
BinaryTreeNumericAttributeClassObserver.Node left
```
    - right
```
BinaryTreeNumericAttributeClassObserver.Node right
```
- Class moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserverRegression extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - root1
```
BinaryTreeNumericAttributeClassObserverRegression.Node root1
```
- Class moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserverRegression.Node extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - cut_point
```
double cut_point
```
    - greaterThan
```
double[] greaterThan
```
    - left
```
BinaryTreeNumericAttributeClassObserverRegression.Node left
```
    - lessThan
```
double[] lessThan
```
    - right
```
BinaryTreeNumericAttributeClassObserverRegression.Node right
```
- Class moa.classifiers.core.attributeclassobservers.FIMTDDNumericAttributeClassObserver extends BinaryTreeNumericAttributeClassObserver implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - countLeftTotal
```
double countLeftTotal
```
    - countRightTotal
```
double countRightTotal
```
    - root
```
FIMTDDNumericAttributeClassObserver.Node root
```
    - sumSqTotalLeft
```
double sumSqTotalLeft
```
    - sumSqTotalRight
```
double sumSqTotalRight
```
    - sumTotalLeft
```
double sumTotalLeft
```
    - sumTotalRight
```
double sumTotalRight
```
- Class moa.classifiers.core.attributeclassobservers.FIMTDDNumericAttributeClassObserver.Node extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - cut_point
```
double cut_point
```
    - left
```
FIMTDDNumericAttributeClassObserver.Node left
```
    - leftStatistics
```
DoubleVector leftStatistics
```
    - right
```
FIMTDDNumericAttributeClassObserver.Node right
```
    - rightStatistics
```
DoubleVector rightStatistics
```
- Class moa.classifiers.core.attributeclassobservers.GaussianNumericAttributeClassObserver extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - attValDistPerClass
```
AutoExpandVector<T> attValDistPerClass
```
    - maxValueObservedPerClass
```
DoubleVector maxValueObservedPerClass
```
    - minValueObservedPerClass
```
DoubleVector minValueObservedPerClass
```
    - numBinsOption
```
IntOption numBinsOption
```
- Class moa.classifiers.core.attributeclassobservers.GreenwaldKhannaNumericAttributeClassObserver extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - attValDistPerClass
```
AutoExpandVector<T> attValDistPerClass
```
    - numTuplesOption
```
IntOption numTuplesOption
```
- Class moa.classifiers.core.attributeclassobservers.NominalAttributeClassObserver extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - attValDistPerClass
```
AutoExpandVector<T> attValDistPerClass
```
    - missingWeightObserved
```
double missingWeightObserved
```
    - totalWeightObserved
```
double totalWeightObserved
```
- Class moa.classifiers.core.attributeclassobservers.NullAttributeClassObserver extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.core.attributeclassobservers.VFMLNumericAttributeClassObserver extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - binList
```
java.util.List<E extends java.lang.Object> binList
```
    - numBinsOption
```
IntOption numBinsOption
```
- Class moa.classifiers.core.attributeclassobservers.VFMLNumericAttributeClassObserver.Bin extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - boundaryClass
```
int boundaryClass
```
    - boundaryWeight
```
double boundaryWeight
```
    - classWeights
```
DoubleVector classWeights
```
    - lowerBound
```
double lowerBound
```
    - upperBound
```
double upperBound
```
Package moa.classifiers.core.conditionaltests
- Class moa.classifiers.core.conditionaltests.InstanceConditionalBinaryTest extends InstanceConditionalTest implements Serializable
- Class moa.classifiers.core.conditionaltests.InstanceConditionalTest extends AbstractMOAObject implements Serializable
- Class moa.classifiers.core.conditionaltests.NominalAttributeBinaryTest extends InstanceConditionalBinaryTest implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - attIndex
```
int attIndex
```
    - attValue
```
int attValue
```
- Class moa.classifiers.core.conditionaltests.NominalAttributeMultiwayTest extends InstanceConditionalTest implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - attIndex
```
int attIndex
```
- Class moa.classifiers.core.conditionaltests.NumericAttributeBinaryTest extends InstanceConditionalBinaryTest implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - attIndex
```
int attIndex
```
    - attValue
```
double attValue
```
    - equalsPassesTest
```
boolean equalsPassesTest
```
Package moa.classifiers.core.driftdetection
- Class moa.classifiers.core.driftdetection.AbstractChangeDetector extends AbstractOptionHandler implements Serializable
  - Serialized Fields
    - delay
```
double delay
```
      Delay in detecting change
    - estimation
```
double estimation
```
      Prediction for the next value based in previous seen values
    - isChangeDetected
```
boolean isChangeDetected
```
      Change was detected
    - isInitialized
```
boolean isInitialized
```
      The change detector has been initialized with the option values
    - isWarningZone
```
boolean isWarningZone
```
      Warning Zone: after a warning and before a change
- Class moa.classifiers.core.driftdetection.ADWIN extends AbstractMOAObject implements Serializable
  - Serialized Fields
    - blnBucketDeleted
```
boolean blnBucketDeleted
```
    - BucketNumber
```
int BucketNumber
```
    - BucketNumberMAX
```
int BucketNumberMAX
```
    - Detect
```
int Detect
```
    - DetectTwice
```
int DetectTwice
```
    - lastBucketRow
```
int lastBucketRow
```
    - listRowBuckets
```
moa.classifiers.core.driftdetection.ADWIN.List listRowBuckets
```
    - mdbldelta
```
double mdbldelta
```
    - mdblWidth
```
double mdblWidth
```
    - mintClock
```
int mintClock
```
    - mintMinWinLength
```
int mintMinWinLength
```
    - mintTime
```
int mintTime
```
    - numberDetections
```
int numberDetections
```
    - TOTAL
```
double TOTAL
```
    - VARIANCE
```
double VARIANCE
```
    - WIDTH
```
int WIDTH
```
- Class moa.classifiers.core.driftdetection.ADWINChangeDetector extends AbstractChangeDetector implements Serializable
  - Serialized Fields
    - adwin
```
ADWIN adwin
```
    - deltaAdwinOption
```
FloatOption deltaAdwinOption
```
- Class moa.classifiers.core.driftdetection.CusumDM extends AbstractChangeDetector implements Serializable
  
  serialVersionUID:
  
  -3518369648142099719L
  - Serialized Fields
    - alpha
```
double alpha
```
    - delta
```
double delta
```
    - deltaOption
```
FloatOption deltaOption
```
    - lambda
```
double lambda
```
    - lambdaOption
```
FloatOption lambdaOption
```
    - m_n
```
int m_n
```
    - minNumInstancesOption
```
IntOption minNumInstancesOption
```
    - sum
```
double sum
```
    - x_mean
```
double x_mean
```
- Class moa.classifiers.core.driftdetection.DDM extends AbstractChangeDetector implements Serializable
  
  serialVersionUID:
  
  -3518369648142099719L
  - Serialized Fields
    - m_n
```
int m_n
```
    - m_p
```
double m_p
```
    - m_pmin
```
double m_pmin
```
    - m_psmin
```
double m_psmin
```
    - m_s
```
double m_s
```
    - m_smin
```
double m_smin
```
    - minNumInstances
```
int minNumInstances
```
    - minNumInstancesOption
```
IntOption minNumInstancesOption
```
    - outcontrolLevel
```
double outcontrolLevel
```
    - outcontrolLevelOption
```
FloatOption outcontrolLevelOption
```
    - warningLevel
```
double warningLevel
```
    - warningLevelOption
```
FloatOption warningLevelOption
```
- Class moa.classifiers.core.driftdetection.EDDM extends AbstractChangeDetector implements Serializable
  
  serialVersionUID:
  
  140980267062162000L
  - Serialized Fields
    - m_d
```
int m_d
```
    - m_lastd
```
int m_lastd
```
    - m_lastLevel
```
int m_lastLevel
```
    - m_m2smax
```
double m_m2smax
```
    - m_mean
```
double m_mean
```
    - m_minNumErrors
```
int m_minNumErrors
```
    - m_n
```
int m_n
```
    - m_numErrors
```
double m_numErrors
```
    - m_stdTemp
```
double m_stdTemp
```
- Class moa.classifiers.core.driftdetection.EnsembleDriftDetectionMethods extends AbstractChangeDetector implements Serializable
  
  serialVersionUID:
  
  -3518369648142099719L
  - Serialized Fields
    - cds
```
ChangeDetector[] cds
```
    - changeDetectorsOption
```
ListOption changeDetectorsOption
```
    - minNumInstancesOption
```
IntOption minNumInstancesOption
```
    - predictionOption
```
MultiChoiceOption predictionOption
```
    - preds
```
java.lang.Boolean[] preds
```
- Class moa.classifiers.core.driftdetection.EWMAChartDM extends AbstractChangeDetector implements Serializable
  
  serialVersionUID:
  
  -3518369648142099719L
  - Serialized Fields
    - lambda
```
double lambda
```
    - lambdaOption
```
FloatOption lambdaOption
```
    - m_n
```
double m_n
```
    - m_p
```
double m_p
```
    - m_s
```
double m_s
```
    - m_sum
```
double m_sum
```
    - minNumInstancesOption
```
IntOption minNumInstancesOption
```
    - z_t
```
double z_t
```
- Class moa.classifiers.core.driftdetection.GeometricMovingAverageDM extends AbstractChangeDetector implements Serializable
  
  serialVersionUID:
  
  -3518369648142099719L
  - Serialized Fields
    - alpha
```
double alpha
```
    - alphaOption
```
FloatOption alphaOption
```
    - delta
```
double delta
```
    - lambda
```
double lambda
```
    - lambdaOption
```
FloatOption lambdaOption
```
    - m_n
```
double m_n
```
    - minNumInstancesOption
```
IntOption minNumInstancesOption
```
    - sum
```
double sum
```
    - x_mean
```
double x_mean
```
- Class moa.classifiers.core.driftdetection.HDDM_A_Test extends AbstractChangeDetector implements Serializable
  - Serialized Fields
    - c_max
```
double c_max
```
    - c_min
```
double c_min
```
    - cEstimacion
```
double cEstimacion
```
    - driftConfidenceOption
```
FloatOption driftConfidenceOption
```
    - n_max
```
int n_max
```
    - n_min
```
int n_min
```
    - nEstimacion
```
int nEstimacion
```
    - oneSidedTestOption
```
MultiChoiceOption oneSidedTestOption
```
    - total_c
```
double total_c
```
    - total_n
```
int total_n
```
    - warningConfidenceOption
```
FloatOption warningConfidenceOption
```
- Class moa.classifiers.core.driftdetection.HDDM_W_Test extends AbstractChangeDetector implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - decrCutPoint
```
double decrCutPoint
```
    - driftConfidence
```
double driftConfidence
```
    - driftConfidenceOption
```
FloatOption driftConfidenceOption
```
    - incrCutPoint
```
double incrCutPoint
```
    - lambda
```
double lambda
```
    - lambdaOption
```
FloatOption lambdaOption
```
    - oneSidedTest
```
boolean oneSidedTest
```
    - oneSidedTestOption
```
MultiChoiceOption oneSidedTestOption
```
    - warningConfidence
```
double warningConfidence
```
    - warningConfidenceOption
```
FloatOption warningConfidenceOption
```
    - width
```
int width
```
- Class moa.classifiers.core.driftdetection.PageHinkleyDM extends AbstractChangeDetector implements Serializable
  
  serialVersionUID:
  
  -3518369648142099719L
  - Serialized Fields
    - alpha
```
double alpha
```
    - alphaOption
```
FloatOption alphaOption
```
    - delta
```
double delta
```
    - deltaOption
```
FloatOption deltaOption
```
    - lambda
```
double lambda
```
    - lambdaOption
```
FloatOption lambdaOption
```
    - m_n
```
int m_n
```
    - minNumInstancesOption
```
IntOption minNumInstancesOption
```
    - sum
```
double sum
```
    - x_mean
```
double x_mean
```
- Class moa.classifiers.core.driftdetection.RDDM extends AbstractChangeDetector implements Serializable
  
  serialVersionUID:
  
  -489867468386968209L
  - Serialized Fields
    - driftLevel
```
double driftLevel
```
    - driftLevelOption
```
FloatOption driftLevelOption
```
    - firstPos
```
int firstPos
```
    - i
```
int i
```
    - instNum
```
int instNum
```
    - lastPos
```
int lastPos
```
    - lastWarnInst
```
int lastWarnInst
```
    - lastWarnPos
```
int lastWarnPos
```
    - m_n
```
int m_n
```
    - m_p
```
double m_p
```
    - m_pmin
```
double m_pmin
```
    - m_psmin
```
double m_psmin
```
    - m_s
```
double m_s
```
    - m_smin
```
double m_smin
```
    - maxSizeConcept
```
int maxSizeConcept
```
    - maxSizeConceptOption
```
IntOption maxSizeConceptOption
```
    - minNumInstances
```
int minNumInstances
```
    - minNumInstancesOption
```
IntOption minNumInstancesOption
```
    - minSizeStableConcept
```
int minSizeStableConcept
```
    - minSizeStableConceptOption
```
IntOption minSizeStableConceptOption
```
    - numStoredInstances
```
int numStoredInstances
```
    - pos
```
int pos
```
    - rddmDrift
```
boolean rddmDrift
```
    - storedPredictions
```
byte[] storedPredictions
```
    - warningLevel
```
double warningLevel
```
    - warningLevelOption
```
FloatOption warningLevelOption
```
    - warnLimit
```
int warnLimit
```
    - warnLimitOption
```
IntOption warnLimitOption
```
- Class moa.classifiers.core.driftdetection.SEEDChangeDetector extends AbstractChangeDetector implements Serializable
  - Serialized Fields
    - alphaSEEDOption
```
FloatOption alphaSEEDOption
```
    - blockSizeSEEDOption
```
IntOption blockSizeSEEDOption
```
    - compressTermSEEDOption
```
IntOption compressTermSEEDOption
```
    - deltaSEEDOption
```
FloatOption deltaSEEDOption
```
    - epsilonPrimeSEEDOption
```
FloatOption epsilonPrimeSEEDOption
```
    - seed
```
SEEDChangeDetector.SEED seed
```
- Class moa.classifiers.core.driftdetection.SeqDrift1ChangeDetector extends AbstractChangeDetector implements Serializable
  - Serialized Fields
    - blockSeqDriftOption
```
IntOption blockSeqDriftOption
```
    - deltaOption
```
FloatOption deltaOption
```
    - deltaWarningOption
```
FloatOption deltaWarningOption
```
    - seqDrift1
```
SeqDrift1ChangeDetector.SeqDrift1 seqDrift1
```
- Class moa.classifiers.core.driftdetection.SeqDrift1ChangeDetector.SeqDrift1 extends AbstractMOAObject implements Serializable
  - Serialized Fields
    - blockCount
```
int blockCount
```
    - blockSize
```
int blockSize
```
    - epsilon
```
moa.classifiers.core.driftdetection.SeqDrift1ChangeDetector.Epsilon epsilon
```
    - instanceCount
```
int instanceCount
```
    - isWarning
```
boolean isWarning
```
    - leftRepository
```
SeqDrift2ChangeDetector.Repository leftRepository
```
    - leftRepositoryMean
```
double leftRepositoryMean
```
    - rightRepository
```
SeqDrift2ChangeDetector.Repository rightRepository
```
    - rightRepositoryMean
```
double rightRepositoryMean
```
    - sampleSize
```
int sampleSize
```
    - significanceLevel
```
double significanceLevel
```
    - slidingWindowBlockCount
```
int slidingWindowBlockCount
```
    - total
```
double total
```
    - uniqueRandomNumbers
```
java.util.ArrayList<E extends java.lang.Object> uniqueRandomNumbers
```
    - variance
```
double variance
```
    - warningSignificanceLevel
```
double warningSignificanceLevel
```
- Class moa.classifiers.core.driftdetection.SeqDrift2ChangeDetector extends AbstractChangeDetector implements Serializable
  - Serialized Fields
    - blockSeqDrift2Option
```
IntOption blockSeqDrift2Option
```
    - deltaSeqDrift2Option
```
FloatOption deltaSeqDrift2Option
```
    - seqdrift
```
SeqDrift2ChangeDetector.SeqDrift2 seqdrift
```
- Class moa.classifiers.core.driftdetection.SeqDrift2ChangeDetector.SeqDrift2 extends AbstractMOAObject implements Serializable
  - Serialized Fields
    - blockSize
```
int blockSize
```
    - epsilon
```
double epsilon
```
    - instanceCount
```
int instanceCount
```
    - k
```
double k
```
    - leftReservoir
```
SeqDrift2ChangeDetector.Reservoir leftReservoir
```
    - leftReservoirMean
```
double leftReservoirMean
```
    - leftReservoirSize
```
int leftReservoirSize
```
    - rightRepository
```
SeqDrift2ChangeDetector.Reservoir rightRepository
```
    - rightRepositoryMean
```
double rightRepositoryMean
```
    - rightRepositorySize
```
int rightRepositorySize
```
    - significanceLevel
```
double significanceLevel
```
    - total
```
double total
```
    - variance
```
double variance
```
- Class moa.classifiers.core.driftdetection.STEPD extends AbstractChangeDetector implements Serializable
  
  serialVersionUID:
  
  -3518369648142099719L
  - Serialized Fields
    - alphaDrift
```
double alphaDrift
```
    - alphaDriftOption
```
FloatOption alphaDriftOption
```
    - alphaWarning
```
double alphaWarning
```
    - alphaWarningOption
```
FloatOption alphaWarningOption
```
    - firstPos
```
int firstPos
```
    - lastPos
```
int lastPos
```
    - no
```
int no
```
    - nr
```
int nr
```
    - p
```
double p
```
    - ro
```
double ro
```
    - rr
```
double rr
```
    - sizeInvertedSum
```
double sizeInvertedSum
```
    - storedPredictions
```
byte[] storedPredictions
```
    - windowSize
```
int windowSize
```
    - windowSizeOption
```
IntOption windowSizeOption
```
    - wo
```
double wo
```
    - wr
```
double wr
```
    - Z
```
double Z
```
Package moa.classifiers.core.splitcriteria
- Class moa.classifiers.core.splitcriteria.GiniSplitCriterion extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.core.splitcriteria.InfoGainSplitCriterion extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - minBranchFracOption
```
FloatOption minBranchFracOption
```
- Class moa.classifiers.core.splitcriteria.InfoGainSplitCriterionMultilabel extends InfoGainSplitCriterion implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.core.splitcriteria.SDRSplitCriterion extends VarianceReductionSplitCriterion implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.core.splitcriteria.VarianceReductionSplitCriterion extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
Package moa.classifiers.core.statisticaltests
- Class moa.classifiers.core.statisticaltests.Cramer extends AbstractOptionHandler implements Serializable
  - Serialized Fields
    - confidenceLevelOption
```
FloatOption confidenceLevelOption
```
    - kernelOption
```
MultiChoiceOption kernelOption
```
    - kOption
```
IntOption kOption
```
    - maxMOption
```
FloatOption maxMOption
```
    - replicatesOption
```
IntOption replicatesOption
```
    - sample1i
```
java.util.List<E extends java.lang.Object> sample1i
```
    - sample2i
```
java.util.List<E extends java.lang.Object> sample2i
```
- Class moa.classifiers.core.statisticaltests.KNN extends AbstractOptionHandler implements Serializable
  - Serialized Fields
    - kValueOption
```
IntOption kValueOption
```
    - sample1i
```
java.util.List<E extends java.lang.Object> sample1i
```
    - sample2i
```
java.util.List<E extends java.lang.Object> sample2i
```
Package moa.classifiers.drift
- Class moa.classifiers.drift.DriftDetectionMethodClassifier extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - changeDetected
```
int changeDetected
```
    - classifier
```
Classifier classifier
```
    - ddmLevel
```
int ddmLevel
```
    - driftDetectionMethod
```
ChangeDetector driftDetectionMethod
```
    - driftDetectionMethodOption
```
ClassOption driftDetectionMethodOption
```
    - newclassifier
```
Classifier newclassifier
```
    - newClassifierReset
```
boolean newClassifierReset
```
    - warningDetected
```
int warningDetected
```
- Class moa.classifiers.drift.SingleClassifierDrift extends DriftDetectionMethodClassifier implements Serializable
Package moa.classifiers.functions
- Class moa.classifiers.functions.AdaGrad extends SGD implements Serializable
  
  serialVersionUID:
  
  -3732968666673530291L
  - Serialized Fields
    - epsilonOption
```
FloatOption epsilonOption
```
    - m_biasVelocity
```
double m_biasVelocity
```
    - m_epsilon
```
double m_epsilon
```
      The epsilon value
    - m_velocity
```
DoubleVector m_velocity
```
      Stores the weights (+ bias in the last element)
- Class moa.classifiers.functions.MajorityClass extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - observedClassDistribution
```
DoubleVector observedClassDistribution
```
- Class moa.classifiers.functions.NoChange extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - lastSeenClass
```
double lastSeenClass
```
- Class moa.classifiers.functions.Perceptron extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  221L
  - Serialized Fields
    - learningRatioOption
```
FloatOption learningRatioOption
```
    - numberAttributes
```
int numberAttributes
```
    - numberClasses
```
int numberClasses
```
    - numberDetections
```
int numberDetections
```
    - reset
```
boolean reset
```
    - weightAttribute
```
double[][] weightAttribute
```
- Class moa.classifiers.functions.SGD extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  -3732968666673530290L
  - Serialized Fields
    - lambdaRegularizationOption
```
FloatOption lambdaRegularizationOption
```
    - learningRateOption
```
FloatOption learningRateOption
```
    - lossFunctionOption
```
MultiChoiceOption lossFunctionOption
```
    - m_bias
```
double m_bias
```
    - m_lambda
```
double m_lambda
```
      The regularization parameter
    - m_learningRate
```
double m_learningRate
```
      The learning rate
    - m_loss
```
int m_loss
```
      The current loss function to minimize
    - m_numInstances
```
double m_numInstances
```
      The number of training instances
    - m_t
```
double m_t
```
      Holds the current iteration number
    - m_weights
```
DoubleVector m_weights
```
      Stores the weights (+ bias in the last element)
- Class moa.classifiers.functions.SGDMultiClass extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  -3732968666673530290L
  - Serialized Fields
    - lambdaRegularizationOption
```
FloatOption lambdaRegularizationOption
```
    - learningRateOption
```
FloatOption learningRateOption
```
    - lossFunctionOption
```
MultiChoiceOption lossFunctionOption
```
    - m_bias
```
double[] m_bias
```
    - m_lambda
```
double m_lambda
```
      The regularization parameter
    - m_learningRate
```
double m_learningRate
```
      The learning rate
    - m_loss
```
int m_loss
```
      The current loss function to minimize
    - m_numInstances
```
double m_numInstances
```
      The number of training instances
    - m_t
```
double m_t
```
      Holds the current iteration number
    - m_weights
```
DoubleVector[] m_weights
```
      Stores the weights (+ bias in the last element)
- Class moa.classifiers.functions.SPegasos extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  -3732968666673530290L
  - Serialized Fields
    - lambdaRegularizationOption
```
FloatOption lambdaRegularizationOption
```
    - lossFunctionOption
```
MultiChoiceOption lossFunctionOption
```
    - m_lambda
```
double m_lambda
```
      The regularization parameter
    - m_loss
```
int m_loss
```
      The current loss function to minimize
    - m_t
```
double m_t
```
      Holds the current iteration number
    - m_weights
```
double[] m_weights
```
      Stores the weights (+ bias in the last element)
Package moa.classifiers.lazy
- Class moa.classifiers.lazy.kNN extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - C
```
int C
```
    - kOption
```
IntOption kOption
```
    - limitOption
```
IntOption limitOption
```
    - nearestNeighbourSearchOption
```
MultiChoiceOption nearestNeighbourSearchOption
```
    - window
```
Instances window
```
- Class moa.classifiers.lazy.kNNwithPAW extends kNN implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - marker
```
int marker
```
    - prob
```
double prob
```
- Class moa.classifiers.lazy.kNNwithPAWandADWIN extends kNN implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - adwin
```
ADWIN adwin
```
    - marker
```
int marker
```
    - prob
```
double prob
```
    - time
```
int time
```
    - timeStamp
```
java.util.ArrayList<E extends java.lang.Object> timeStamp
```
- Class moa.classifiers.lazy.SAMkNN extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - cmHistory
```
java.util.List<E extends java.lang.Object> cmHistory
```
    - distanceMatrixSTM
```
double[][] distanceMatrixSTM
```
    - kOption
```
IntOption kOption
```
    - limitOption
```
IntOption limitOption
```
    - ltm
```
Instances ltm
```
    - ltmHistory
```
java.util.List<E extends java.lang.Object> ltmHistory
```
    - maxClassValue
```
int maxClassValue
```
    - maxLTMSize
```
int maxLTMSize
```
    - maxSTMSize
```
int maxSTMSize
```
    - minSTMSizeOption
```
IntOption minSTMSizeOption
```
    - predictionHistories
```
java.util.Map<K extends java.lang.Object,V extends java.lang.Object> predictionHistories
```
    - random
```
java.util.Random random
```
    - recalculateSTMErrorOption
```
FlagOption recalculateSTMErrorOption
```
    - relativeLTMSizeOption
```
FloatOption relativeLTMSizeOption
```
    - stm
```
Instances stm
```
    - stmHistory
```
java.util.List<E extends java.lang.Object> stmHistory
```
Package moa.classifiers.lazy.neighboursearch
- Class moa.classifiers.lazy.neighboursearch.KDTree extends NearestNeighbourSearch implements Serializable
  
  serialVersionUID:
  
  1505717283763272533L
  - Serialized Fields
    - m_DistanceList
```
double[] m_DistanceList
```
      Array holding the distances of the nearest neighbours. It is filled up both by nearestNeighbour() and kNearestNeighbours().
    - m_EuclideanDistance
```
EuclideanDistance m_EuclideanDistance
```
      The euclidean distance function to use.
    - m_InstList
```
int[] m_InstList
```
      Indexlist of the instances of this kdtree. Instances get sorted according to the splits. the nodes of the KDTree just hold their start and end indices
    - m_MaxDepth
```
int m_MaxDepth
```
      Tree stats.
    - m_MaxInstInLeaf
```
int m_MaxInstInLeaf
```
      maximal number of instances in a leaf.
    - m_MinBoxRelWidth
```
double m_MinBoxRelWidth
```
      minimal relative width of a KDTree rectangle.
    - m_NormalizeNodeWidth
```
boolean m_NormalizeNodeWidth
```
      flag for normalizing.
    - m_NumLeaves
```
int m_NumLeaves
```
      Tree stats.
    - m_NumNodes
```
int m_NumNodes
```
      Tree stats.
    - m_Root
```
KDTreeNode m_Root
```
      The root node of the tree.
    - m_Splitter
```
KDTreeNodeSplitter m_Splitter
```
      The node splitter.
- Class moa.classifiers.lazy.neighboursearch.LinearNNSearch extends NearestNeighbourSearch implements Serializable
  
  serialVersionUID:
  
  1915484723703917241L
  - Serialized Fields
    - m_Distances
```
double[] m_Distances
```
      Array holding the distances of the nearest neighbours. It is filled up both by nearestNeighbour() and kNearestNeighbours().
    - m_SkipIdentical
```
boolean m_SkipIdentical
```
      Whether to skip instances from the neighbours that are identical to the query instance.
- Class moa.classifiers.lazy.neighboursearch.NearestNeighbourSearch extends java.lang.Object implements Serializable
  - Serialized Fields
    - m_DistanceFunction
```
DistanceFunction m_DistanceFunction
```
      the distance function used.
    - m_Instances
```
Instances m_Instances
```
      The neighbourhood of instances to find neighbours in.
    - m_kNN
```
int m_kNN
```
      The number of neighbours to find.
    - m_MeasurePerformance
```
boolean m_MeasurePerformance
```
      Should we measure Performance.
Package moa.classifiers.lazy.neighboursearch.kdtrees
- Class moa.classifiers.lazy.neighboursearch.kdtrees.KDTreeNode extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -3660396067582792648L
  - Serialized Fields
    - m_End
```
int m_End
```
      The end index of the portion of the master index array, which stores indices of the instances/points the node contains.
    - m_Left
```
KDTreeNode m_Left
```
      left subtree; contains instances with smaller or equal to split value.
    - m_NodeNumber
```
int m_NodeNumber
```
      node number (only for debug).
    - m_NodeRanges
```
double[][] m_NodeRanges
```
      lowest and highest value and width (= high - low) for each dimension.
    - m_NodesRectBounds
```
double[][] m_NodesRectBounds
```
      The lo and high bounds of the hyper rectangle described by the node.
    - m_Right
```
KDTreeNode m_Right
```
      right subtree; contains instances with larger than split value.
    - m_SplitDim
```
int m_SplitDim
```
      attribute to split on.
    - m_SplitValue
```
double m_SplitValue
```
      value to split on.
    - m_Start
```
int m_Start
```
      The start index of the portion of the master index array, which stores the indices of the instances/points the node contains.
- Class moa.classifiers.lazy.neighboursearch.kdtrees.KDTreeNodeSplitter extends java.lang.Object implements Serializable
  - Serialized Fields
    - m_EuclideanDistance
```
EuclideanDistance m_EuclideanDistance
```
      The distance function used for building the tree.
    - m_Instances
```
Instances m_Instances
```
      The instances that'll be used for tree construction.
    - m_InstList
```
int[] m_InstList
```
      The master index array that'll be reshuffled as nodes are split and the tree is constructed.
    - m_NormalizeNodeWidth
```
boolean m_NormalizeNodeWidth
```
      Stores whether if the width of a KDTree node is normalized or not.
- Class moa.classifiers.lazy.neighboursearch.kdtrees.KMeansInpiredMethod extends KDTreeNodeSplitter implements Serializable
  
  serialVersionUID:
  
  -866783749124714304L
- Class moa.classifiers.lazy.neighboursearch.kdtrees.MedianOfWidestDimension extends KDTreeNodeSplitter implements Serializable
  
  serialVersionUID:
  
  1383443320160540663L
- Class moa.classifiers.lazy.neighboursearch.kdtrees.MidPointOfWidestDimension extends KDTreeNodeSplitter implements Serializable
  
  serialVersionUID:
  
  -7617277960046591906L
- Class moa.classifiers.lazy.neighboursearch.kdtrees.SlidingMidPointOfWidestSide extends KDTreeNodeSplitter implements Serializable
  
  serialVersionUID:
  
  852857628205680562L
Package moa.classifiers.meta
- Class moa.classifiers.meta.AccuracyUpdatedEnsemble extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - candidate
```
Classifier candidate
```
      Candidate classifier.
    - chunkSizeOption
```
IntOption chunkSizeOption
```
      Chunk size.
    - classDistributions
```
long[] classDistributions
```
      Class distributions.
    - currentChunk
```
Instances currentChunk
```
      Current chunk of instances.
    - learnerOption
```
ClassOption learnerOption
```
      Type of classifier to use as a component classifier.
    - learners
```
Classifier[] learners
```
      Ensemble classifiers.
    - maxByteSizeOption
```
IntOption maxByteSizeOption
```
      Determines the maximum size of model (evaluated after every chunk).
    - memberCountOption
```
IntOption memberCountOption
```
      Number of component classifiers.
    - processedInstances
```
int processedInstances
```
      Number of processed examples.
    - weights
```
double[][] weights
```
      The weights of stored classifiers. weights[x][0] = weight weights[x][1] = classifier number in learners
- Class moa.classifiers.meta.AccuracyWeightedEnsemble extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - candidateClassifier
```
Classifier candidateClassifier
```
    - chunkSize
```
int chunkSize
```
    - chunkSizeOption
```
IntOption chunkSizeOption
```
      Chunk size.
    - classDistributions
```
long[] classDistributions
```
    - currentChunk
```
Instances currentChunk
```
    - ensemble
```
Classifier[] ensemble
```
    - ensembleWeights
```
double[] ensembleWeights
```
    - learnerOption
```
ClassOption learnerOption
```
      Type of classifier to use as a component classifier.
    - maxMemberCount
```
int maxMemberCount
```
    - maxStoredCount
```
int maxStoredCount
```
    - memberCountOption
```
FloatOption memberCountOption
```
      Number of component classifiers.
    - numFolds
```
int numFolds
```
    - numFoldsOption
```
IntOption numFoldsOption
```
      Number of folds in candidate classifier cross-validation.
    - processedInstances
```
int processedInstances
```
    - storedCountOption
```
FloatOption storedCountOption
```
      Number of classifiers remembered and available for ensemble construction.
    - storedLearners
```
Classifier[] storedLearners
```
    - storedWeights
```
double[][] storedWeights
```
      The weights of stored classifiers. storedWeights[x][0] = weight storedWeights[x][1] = classifier
- Class moa.classifiers.meta.ADACC extends DACC implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - addedPermanent
```
int addedPermanent
```
      Number of added snapshots
    - equivIndexSizeOption
```
FloatOption equivIndexSizeOption
```
      Threshold for concept equivalence
    - index
```
double index
```
      Current stability index
    - recentChunk
```
Instances recentChunk
```
      Last chunk of data of size (tau_size) to compute the stability index
    - stabIndexSizeOption
```
FloatOption stabIndexSizeOption
```
      Threshold for the stability index
    - tau_size
```
int tau_size
```
      Size of the evaluation window to compute the stability index
    - tauSizeOption
```
IntOption tauSizeOption
```
      Evaluation window for the stability index computation
    - theta_diff
```
double theta_diff
```
      Threshold values for the stability index and concept equivalence
    - theta_stab
```
double theta_stab
```
      Threshold values for the stability index and concept equivalence
- Class moa.classifiers.meta.AdaptiveRandomForest extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - disableBackgroundLearnerOption
```
FlagOption disableBackgroundLearnerOption
```
    - disableDriftDetectionOption
```
FlagOption disableDriftDetectionOption
```
    - disableWeightedVote
```
FlagOption disableWeightedVote
```
    - driftDetectionMethodOption
```
ClassOption driftDetectionMethodOption
```
    - ensemble
```
AdaptiveRandomForest.ARFBaseLearner[] ensemble
```
    - ensembleSizeOption
```
IntOption ensembleSizeOption
```
    - evaluator
```
BasicClassificationPerformanceEvaluator evaluator
```
    - executor
```
java.util.concurrent.ExecutorService executor
```
    - instancesSeen
```
long instancesSeen
```
    - lambdaOption
```
FloatOption lambdaOption
```
    - mFeaturesModeOption
```
MultiChoiceOption mFeaturesModeOption
```
    - mFeaturesPerTreeSizeOption
```
IntOption mFeaturesPerTreeSizeOption
```
    - numberOfJobsOption
```
IntOption numberOfJobsOption
```
    - subspaceSize
```
int subspaceSize
```
    - treeLearnerOption
```
ClassOption treeLearnerOption
```
    - warningDetectionMethodOption
```
ClassOption warningDetectionMethodOption
```
- Class moa.classifiers.meta.AdaptiveRandomForest.ARFBaseLearner extends AbstractMOAObject implements Serializable
  - Serialized Fields
    - bkgLearner
```
AdaptiveRandomForest.ARFBaseLearner bkgLearner
```
    - classifier
```
ARFHoeffdingTree classifier
```
    - createdOn
```
long createdOn
```
    - driftDetectionMethod
```
ChangeDetector driftDetectionMethod
```
    - driftOption
```
ClassOption driftOption
```
    - evaluator
```
BasicClassificationPerformanceEvaluator evaluator
```
    - indexOriginal
```
int indexOriginal
```
    - isBackgroundLearner
```
boolean isBackgroundLearner
```
    - lastDriftOn
```
long lastDriftOn
```
    - lastWarningOn
```
long lastWarningOn
```
    - numberOfDriftsDetected
```
int numberOfDriftsDetected
```
    - numberOfWarningsDetected
```
int numberOfWarningsDetected
```
    - useBkgLearner
```
boolean useBkgLearner
```
    - useDriftDetector
```
boolean useDriftDetector
```
    - warningDetectionMethod
```
ChangeDetector warningDetectionMethod
```
    - warningOption
```
ClassOption warningOption
```
- Class moa.classifiers.meta.AdaptiveRandomForestRegressor extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - disableBackgroundLearnerOption
```
FlagOption disableBackgroundLearnerOption
```
    - disableDriftDetectionOption
```
FlagOption disableDriftDetectionOption
```
    - disableWeightedVote
```
FlagOption disableWeightedVote
```
    - driftDetectionMethodOption
```
ClassOption driftDetectionMethodOption
```
    - ensemble
```
AdaptiveRandomForestRegressor.ARFFIMTDDBaseLearner[] ensemble
```
    - ensembleSizeOption
```
IntOption ensembleSizeOption
```
    - evaluator
```
BasicRegressionPerformanceEvaluator evaluator
```
    - instancesSeen
```
long instancesSeen
```
    - lambdaOption
```
FloatOption lambdaOption
```
    - mFeaturesModeOption
```
MultiChoiceOption mFeaturesModeOption
```
    - mFeaturesPerTreeSizeOption
```
IntOption mFeaturesPerTreeSizeOption
```
    - subspaceSize
```
int subspaceSize
```
    - treeLearnerOption
```
ClassOption treeLearnerOption
```
    - warningDetectionMethodOption
```
ClassOption warningDetectionMethodOption
```
- Class moa.classifiers.meta.AdaptiveRandomForestRegressor.ARFFIMTDDBaseLearner extends AbstractMOAObject implements Serializable
  - Serialized Fields
    - bkgLearner
```
AdaptiveRandomForestRegressor.ARFFIMTDDBaseLearner bkgLearner
```
    - classifier
```
ARFFIMTDD classifier
```
    - createdOn
```
long createdOn
```
    - driftDetectionMethod
```
ChangeDetector driftDetectionMethod
```
    - driftOption
```
ClassOption driftOption
```
    - evaluator
```
BasicRegressionPerformanceEvaluator evaluator
```
    - indexOriginal
```
int indexOriginal
```
    - isBackgroundLearner
```
boolean isBackgroundLearner
```
    - lastDriftOn
```
long lastDriftOn
```
    - lastWarningOn
```
long lastWarningOn
```
    - numberOfDriftsDetected
```
int numberOfDriftsDetected
```
    - numberOfWarningsDetected
```
int numberOfWarningsDetected
```
    - useBkgLearner
```
boolean useBkgLearner
```
    - useDriftDetector
```
boolean useDriftDetector
```
    - warningDetectionMethod
```
ChangeDetector warningDetectionMethod
```
    - warningOption
```
ClassOption warningOption
```
- Class moa.classifiers.meta.ADOB extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - ensemble
```
Classifier[] ensemble
```
    - ensembleSizeOption
```
IntOption ensembleSizeOption
```
    - orderPosition
```
int[] orderPosition
```
    - pureBoostOption
```
FlagOption pureBoostOption
```
    - scms
```
double[] scms
```
    - swms
```
double[] swms
```
- Class moa.classifiers.meta.BOLE extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - Bm
```
double Bm
```
    - breakVotesOption
```
FlagOption breakVotesOption
```
    - correct
```
boolean correct
```
    - em
```
double em
```
    - ensemble
```
Classifier[] ensemble
```
    - ensembleSizeOption
```
IntOption ensembleSizeOption
```
    - errorBoundOption
```
FloatOption errorBoundOption
```
    - i
```
int i
```
    - j
```
int j
```
    - k
```
double k
```
    - key_acc
```
double key_acc
```
    - key_position
```
int key_position
```
    - lambda_d
```
double lambda_d
```
    - maxAcc
```
int maxAcc
```
    - memberWeight
```
double memberWeight
```
    - minAcc
```
int minAcc
```
    - okay
```
boolean okay
```
    - orderPosition
```
int[] orderPosition
```
    - pos
```
int pos
```
    - pureBoostOption
```
FlagOption pureBoostOption
```
    - scms
```
double[] scms
```
    - swms
```
double[] swms
```
    - weightShiftOption
```
FloatOption weightShiftOption
```
- Class moa.classifiers.meta.DACC extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - combinationOption
```
MultiChoiceOption combinationOption
```
      Combination functions: MAX and WVD (MAX leads to a faster reactivity to the change, WVD is more robust to noise)
    - ensemble
```
Classifier[] ensemble
```
      Ensemble of classifiers
    - ensembleAges
```
double[] ensembleAges
```
      Age of classifiers (to compare with maturity age)
    - ensembleWeights
```
DACC.Pair[] ensembleWeights
```
      Weights of classifiers
    - ensembleWindows
```
int[][] ensembleWindows
```
      Evaluation windows (recent classification errors)
    - evaluationSizeOption
```
FloatOption evaluationSizeOption
```
      Size of the evaluation window for weights computing
    - learnerOption
```
ClassOption learnerOption
```
      Base classifier
    - maturityOption
```
FloatOption maturityOption
```
      Maturity age of classifiers
    - memberCountOption
```
FloatOption memberCountOption
```
      Ensemble size
    - nbInstances
```
int nbInstances
```
      Number of instances from the stream
- Class moa.classifiers.meta.DACC.Pair extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - index
```
int index
```
    - val
```
double val
```
- Class moa.classifiers.meta.DynamicWeightedMajority extends AbstractClassifier implements Serializable
  - Serialized Fields
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - betaOption
```
FloatOption betaOption
```
    - epochs
```
long epochs
```
    - experts
```
java.util.List<E extends java.lang.Object> experts
```
    - maxExpertsOption
```
IntOption maxExpertsOption
```
    - periodOption
```
IntOption periodOption
```
    - thetaOption
```
FloatOption thetaOption
```
    - weights
```
java.util.List<E extends java.lang.Object> weights
```
- Class moa.classifiers.meta.HeterogeneousEnsembleAbstract extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - activeClassifiersOption
```
IntOption activeClassifiersOption
```
    - baselearnersOption
```
ListOption baselearnersOption
```
    - ensemble
```
Classifier[] ensemble
```
    - gracePerionOption
```
IntOption gracePerionOption
```
    - historyTotal
```
double[] historyTotal
```
    - instancesSeen
```
java.lang.Integer instancesSeen
```
    - topK
```
java.util.List<E extends java.lang.Object> topK
```
    - weightClassifiersOption
```
FlagOption weightClassifiersOption
```
- Class moa.classifiers.meta.HeterogeneousEnsembleBlast extends HeterogeneousEnsembleAbstract implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - onlineHistory
```
boolean[][] onlineHistory
```
    - windowSizeOption
```
IntOption windowSizeOption
```
- Class moa.classifiers.meta.HeterogeneousEnsembleBlastFadingFactors extends HeterogeneousEnsembleAbstract implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - alphaOption
```
FloatOption alphaOption
```
    - trainingErrors
```
int trainingErrors
```
- Class moa.classifiers.meta.LearnNSE extends AbstractClassifier implements Serializable
  - Serialized Fields
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - bkts
```
java.util.List<E extends java.lang.Object> bkts
```
    - buffer
```
Instances buffer
```
    - crossingPoint
```
double crossingPoint
```
    - ensemble
```
java.util.List<E extends java.lang.Object> ensemble
```
    - ensembleSize
```
int ensembleSize
```
    - ensembleSizeOption
```
IntOption ensembleSizeOption
```
    - ensembleWeights
```
java.util.List<E extends java.lang.Object> ensembleWeights
```
    - index
```
long index
```
    - periodOption
```
IntOption periodOption
```
    - pruning
```
int pruning
```
    - pruningStrategyOption
```
MultiChoiceOption pruningStrategyOption
```
    - sigmoidCrossingPointOption
```
FloatOption sigmoidCrossingPointOption
```
    - sigmoidSlopeOption
```
FloatOption sigmoidSlopeOption
```
    - slope
```
double slope
```
    - wkts
```
java.util.List<E extends java.lang.Object> wkts
```
- Class moa.classifiers.meta.LeveragingBag extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - ADError
```
ADWIN[] ADError
```
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - deltaAdwinOption
```
FloatOption deltaAdwinOption
```
    - ensemble
```
Classifier[] ensemble
```
    - ensembleSizeOption
```
IntOption ensembleSizeOption
```
    - initMatrixCodes
```
boolean initMatrixCodes
```
    - leveraginBagAlgorithmOption
```
MultiChoiceOption leveraginBagAlgorithmOption
```
    - matrixCodes
```
int[][] matrixCodes
```
    - numberOfChangesDetected
```
int numberOfChangesDetected
```
    - outputCodesOption
```
FlagOption outputCodesOption
```
    - weightShrinkOption
```
FloatOption weightShrinkOption
```
- Class moa.classifiers.meta.LimAttClassifier extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - ADError
```
ADWIN[] ADError
```
    - adwinReplaceWorstClassifierOption
```
FlagOption adwinReplaceWorstClassifierOption
```
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - bigTreesOption
```
FlagOption bigTreesOption
```
    - deltaAdwinOption
```
FloatOption deltaAdwinOption
```
    - ensemble
```
Classifier[] ensemble
```
    - initClassifiers
```
boolean initClassifiers
```
    - initialNumInstancesOption
```
IntOption initialNumInstancesOption
```
    - initMatrixCodes
```
boolean initMatrixCodes
```
    - learningRatioOption
```
FloatOption learningRatioOption
```
    - matrixCodes
```
int[][] matrixCodes
```
    - numAttributesOption
```
IntOption numAttributesOption
```
    - numberAttributes
```
int numberAttributes
```
    - numberOfChangesDetected
```
int numberOfChangesDetected
```
    - numEnsemblePruningOption
```
IntOption numEnsemblePruningOption
```
    - numInstances
```
int numInstances
```
    - oddsOffsetOption
```
FloatOption oddsOffsetOption
```
    - penaltyFactorOption
```
FloatOption penaltyFactorOption
```
    - pruneOption
```
FlagOption pruneOption
```
    - reset
```
boolean reset
```
    - weightAttribute
```
double[][] weightAttribute
```
    - weightShrinkOption
```
FloatOption weightShrinkOption
```
- Class moa.classifiers.meta.OCBoost extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - alpha
```
double[] alpha
```
    - alphainc
```
double[] alphainc
```
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - ensemble
```
Classifier[] ensemble
```
    - ensembleSizeOption
```
IntOption ensembleSizeOption
```
    - pineg
```
double[] pineg
```
    - pipos
```
double[] pipos
```
    - smoothingOption
```
FloatOption smoothingOption
```
    - wneg
```
double[][] wneg
```
    - wpos
```
double[][] wpos
```
- Class moa.classifiers.meta.OnlineAccuracyUpdatedEnsemble extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - candidate
```
OnlineAccuracyUpdatedEnsemble.ClassifierWithMemory candidate
```
      Candidate classifier.
    - classDistributions
```
long[] classDistributions
```
      Class distributions.
    - currentWindow
```
int[] currentWindow
```
      Current window of instance class values.
    - ensemble
```
OnlineAccuracyUpdatedEnsemble.ClassifierWithMemory[] ensemble
```
      Ensemble classifiers.
    - learnerOption
```
ClassOption learnerOption
```
      Type of classifier to use as a component classifier.
    - linearOption
```
FlagOption linearOption
```
      Determines whether additional information should be sent to the output.
    - maxByteSizeOption
```
IntOption maxByteSizeOption
```
      Determines the maximum size of model (evaluated after every chunk).
    - memberCountOption
```
IntOption memberCountOption
```
      Number of component classifiers.
    - mse_r
```
double mse_r
```
      The mean square residual in a given moment, based on a window of latest examples.
    - processedInstances
```
int processedInstances
```
      Number of processed examples.
    - verboseOption
```
FlagOption verboseOption
```
      Determines whether additional information should be sent to the output.
    - weights
```
double[][] weights
```
      The weights of stored classifiers. weights[x][0] = weight weights[x][1] = classifier number in learners
    - windowSize
```
int windowSize
```
      Window size.
    - windowSizeOption
```
FloatOption windowSizeOption
```
      Chunk size.
- Class moa.classifiers.meta.OnlineSmoothBoost extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - alpha
```
double[] alpha
```
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - ensemble
```
Classifier[] ensemble
```
    - ensembleSizeOption
```
IntOption ensembleSizeOption
```
    - gamma
```
double gamma
```
    - gammaOption
```
FloatOption gammaOption
```
    - theta
```
double theta
```
- Class moa.classifiers.meta.OzaBag extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - ensemble
```
Classifier[] ensemble
```
    - ensembleSizeOption
```
IntOption ensembleSizeOption
```
- Class moa.classifiers.meta.OzaBagAdwin extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - ADError
```
ADWIN[] ADError
```
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - ensemble
```
Classifier[] ensemble
```
    - ensembleSizeOption
```
IntOption ensembleSizeOption
```
- Class moa.classifiers.meta.OzaBagASHT extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - alpha
```
double alpha
```
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - ensemble
```
ASHoeffdingTree[] ensemble
```
    - ensembleSizeOption
```
IntOption ensembleSizeOption
```
    - error
```
double[] error
```
    - firstClassifierSizeOption
```
IntOption firstClassifierSizeOption
```
    - resetTreesOption
```
FlagOption resetTreesOption
```
    - useWeightOption
```
FlagOption useWeightOption
```
- Class moa.classifiers.meta.OzaBoost extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - ensemble
```
Classifier[] ensemble
```
    - ensembleSizeOption
```
IntOption ensembleSizeOption
```
    - pureBoostOption
```
FlagOption pureBoostOption
```
    - scms
```
double[] scms
```
    - swms
```
double[] swms
```
- Class moa.classifiers.meta.OzaBoostAdwin extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - ADError
```
ADWIN[] ADError
```
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - deltaAdwinOption
```
FloatOption deltaAdwinOption
```
    - ensemble
```
Classifier[] ensemble
```
    - ensembleSizeOption
```
IntOption ensembleSizeOption
```
    - initKm1
```
boolean initKm1
```
    - initMatrixCodes
```
boolean initMatrixCodes
```
    - Km1
```
int Km1
```
    - logKm1
```
double logKm1
```
    - matrixCodes
```
int[][] matrixCodes
```
    - numberOfChangesDetected
```
int numberOfChangesDetected
```
    - outputCodesOption
```
FlagOption outputCodesOption
```
    - pureBoostOption
```
FlagOption pureBoostOption
```
    - sammeOption
```
FlagOption sammeOption
```
    - scms
```
double[] scms
```
    - swms
```
double[] swms
```
- Class moa.classifiers.meta.PairedLearners extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - c
```
int[] c
```
    - changeDetected
```
int changeDetected
```
    - i
```
int i
```
    - instances
```
Instance[] instances
```
    - numberOfErrors
```
int numberOfErrors
```
    - reactiveLearner
```
Classifier reactiveLearner
```
    - reactiveLearnerOption
```
ClassOption reactiveLearnerOption
```
    - stableLearner
```
Classifier stableLearner
```
    - stableLearnerOption
```
ClassOption stableLearnerOption
```
    - t
```
int t
```
    - theta
```
int theta
```
    - thresholdOption
```
FloatOption thresholdOption
```
    - w
```
int w
```
    - windowSizeOption
```
IntOption windowSizeOption
```
- Class moa.classifiers.meta.RandomRules extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - dataset
```
InstancesHeader[] dataset
```
    - ensemble
```
Classifier[] ensemble
```
    - ensembleSizeOption
```
IntOption ensembleSizeOption
```
    - isRegression
```
boolean isRegression
```
    - listAttributes
```
int[][] listAttributes
```
    - numAttributes
```
int numAttributes
```
    - numAttributesPercentageOption
```
FloatOption numAttributesPercentageOption
```
    - useBaggingOption
```
FlagOption useBaggingOption
```
    - VerbosityOption
```
IntOption VerbosityOption
```
- Class moa.classifiers.meta.RCD extends SingleClassifierDrift implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - bufferSize
```
int bufferSize
```
    - bufferSizeOption
```
IntOption bufferSizeOption
```
    - classifiers
```
java.util.List<E extends java.lang.Object> classifiers
```
    - classifiersSizeOption
```
IntOption classifiersSizeOption
```
    - currentChunk
```
java.util.List<E extends java.lang.Object> currentChunk
```
    - currentChunk2
```
java.util.List<E extends java.lang.Object> currentChunk2
```
    - index
```
int index
```
    - previousState
```
int previousState
```
    - quantityClassifiersTestOption
```
IntOption quantityClassifiersTestOption
```
    - similarityBetweenDistributionsOption
```
FloatOption similarityBetweenDistributionsOption
```
    - statisticalTestOption
```
ClassOption statisticalTestOption
```
    - testChunk
```
java.util.List<E extends java.lang.Object> testChunk
```
    - testFrequencyOption
```
IntOption testFrequencyOption
```
    - threadSizeOption
```
IntOption threadSizeOption
```
- Class moa.classifiers.meta.TemporallyAugmentedClassifier extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - baseLearner
```
Classifier baseLearner
```
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - header
```
Instances header
```
    - labelDelayOption
```
FlagOption labelDelayOption
```
    - numOldLabelsOption
```
IntOption numOldLabelsOption
```
    - oldLabels
```
double[] oldLabels
```
- Class moa.classifiers.meta.WeightedMajorityAlgorithm extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - betaOption
```
FloatOption betaOption
```
    - ensemble
```
Classifier[] ensemble
```
    - ensembleWeights
```
double[] ensembleWeights
```
    - gammaOption
```
FloatOption gammaOption
```
    - learnerListOption
```
ListOption learnerListOption
```
    - pruneOption
```
FlagOption pruneOption
```
- Class moa.classifiers.meta.WEKAClassifier extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - baseLearnerOption
```
WEKAClassOption baseLearnerOption
```
    - classifier
```
weka.classifiers.Classifier classifier
```
    - instanceConverter
```
SamoaToWekaInstanceConverter instanceConverter
```
    - instancesBuffer
```
weka.core.Instances instancesBuffer
```
    - isBufferStoring
```
boolean isBufferStoring
```
    - isClassificationEnabled
```
boolean isClassificationEnabled
```
    - numberInstances
```
int numberInstances
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - widthInitOption
```
IntOption widthInitOption
```
    - widthOption
```
IntOption widthOption
```
Package moa.classifiers.multilabel
- Class moa.classifiers.multilabel.MajorityLabelset extends AbstractMultiLabelLearner implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - majorityLabelset
```
MultiLabelPrediction majorityLabelset
```
    - maxValue
```
double maxValue
```
    - vectorCounts
```
java.util.HashMap<K extends java.lang.Object,V extends java.lang.Object> vectorCounts
```
- Class moa.classifiers.multilabel.MEKAClassifier extends AbstractMultiLabelLearner implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - baseLearnerOption
```
WEKAClassOption baseLearnerOption
```
    - classifier
```
weka.classifiers.Classifier classifier
```
    - instanceConverter
```
SamoaToWekaInstanceConverter instanceConverter
```
    - instancesBuffer
```
weka.core.Instances instancesBuffer
```
    - isClassificationEnabled
```
boolean isClassificationEnabled
```
    - L
```
int L
```
- Class moa.classifiers.multilabel.MultilabelHoeffdingTree extends HoeffdingTreeClassifLeaves implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.multilabel.MultilabelHoeffdingTree.MultilabelInactiveLearningNode extends HoeffdingTree.InactiveLearningNode implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.multilabel.MultilabelHoeffdingTree.MultilabelLearningNodeClassifier extends HoeffdingTreeClassifLeaves.LearningNodeClassifier implements Serializable
  
  serialVersionUID:
  
  1L
Package moa.classifiers.multilabel.core.splitcriteria
- Class moa.classifiers.multilabel.core.splitcriteria.ICVarianceReduction extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
Package moa.classifiers.multilabel.meta
- Class moa.classifiers.multilabel.meta.OzaBagAdwinML extends OzaBagAdwin implements Serializable
- Class moa.classifiers.multilabel.meta.OzaBagML extends OzaBag implements Serializable
Package moa.classifiers.multilabel.trees
- Class moa.classifiers.multilabel.trees.ISOUPTree extends AbstractMultiLabelLearner implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - alternateTreeFadingFactorOption
```
FloatOption alternateTreeFadingFactorOption
```
    - alternateTreeTimeOption
```
IntOption alternateTreeTimeOption
```
    - alternateTreeTMinOption
```
IntOption alternateTreeTMinOption
```
    - doNotNormalizeOption
```
FlagOption doNotNormalizeOption
```
    - examplesSeen
```
double examplesSeen
```
    - gracePeriodOption
```
IntOption gracePeriodOption
```
    - leafNodeCount
```
int leafNodeCount
```
    - learningRateDecayFactorOption
```
FloatOption learningRateDecayFactorOption
```
    - learningRatioConstOption
```
FlagOption learningRatioConstOption
```
    - learningRatioOption
```
FloatOption learningRatioOption
```
    - maxID
```
int maxID
```
    - regressionTreeOption
```
FlagOption regressionTreeOption
```
    - splitConfidenceOption
```
FloatOption splitConfidenceOption
```
    - splitNodeCount
```
int splitNodeCount
```
    - sumOfAttrSquares
```
DoubleVector sumOfAttrSquares
```
    - sumOfAttrValues
```
DoubleVector sumOfAttrValues
```
    - sumOfSquares
```
DoubleVector sumOfSquares
```
    - sumOfValues
```
DoubleVector sumOfValues
```
    - tieThresholdOption
```
FloatOption tieThresholdOption
```
    - treeRoot
```
ISOUPTree.Node treeRoot
```
- Class moa.classifiers.multilabel.trees.ISOUPTree.InnerNode extends ISOUPTree.Node implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - children
```
AutoExpandVector<T> children
```
    - lossExamplesSeen
```
double lossExamplesSeen
```
    - lossFadedSumAlternate
```
double lossFadedSumAlternate
```
    - lossFadedSumOriginal
```
double lossFadedSumOriginal
```
    - lossNumQiTests
```
double lossNumQiTests
```
    - lossSumQi
```
double lossSumQi
```
    - PHmins
```
DoubleVector PHmins
```
    - PHsums
```
DoubleVector PHsums
```
    - previousWeight
```
double previousWeight
```
    - sumOfAbsErrors
```
DoubleVector sumOfAbsErrors
```
- Class moa.classifiers.multilabel.trees.ISOUPTree.LeafNode extends ISOUPTree.Node implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - errorM
```
DoubleVector errorM
```
    - errorP
```
DoubleVector errorP
```
    - examplesSeenAtLastSplitEvaluation
```
double examplesSeenAtLastSplitEvaluation
```
    - learningModel
```
ISOUPTree.MultitargetPerceptron learningModel
```
- Class moa.classifiers.multilabel.trees.ISOUPTree.Node extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - alternateTree
```
ISOUPTree.Node alternateTree
```
    - attributeObservers
```
AutoExpandVector<T> attributeObservers
```
    - changeDetection
```
boolean changeDetection
```
    - examplesSeen
```
double examplesSeen
```
    - ID
```
int ID
```
    - originalNode
```
ISOUPTree.Node originalNode
```
    - parent
```
ISOUPTree.SplitNode parent
```
    - sumOfSquares
```
DoubleVector sumOfSquares
```
    - sumOfValues
```
DoubleVector sumOfValues
```
    - tree
```
ISOUPTree tree
```
    - weightSeenAtLastSplitEvaluation
```
double weightSeenAtLastSplitEvaluation
```
- Class moa.classifiers.multilabel.trees.ISOUPTree.SplitNode extends ISOUPTree.InnerNode implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - predicate
```
Predicate predicate
```
Package moa.classifiers.multitarget
- Class moa.classifiers.multitarget.BasicMultiLabelClassifier extends BasicMultiLabelLearner implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.multitarget.BasicMultiLabelLearner extends AbstractMultiLabelLearner implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - ensemble
```
Classifier[] ensemble
```
    - hasStarted
```
boolean hasStarted
```
    - header
```
InstancesHeader[] header
```
    - randomSeedOption
```
IntOption randomSeedOption
```
- Class moa.classifiers.multitarget.BasicMultiTargetRegressor extends AbstractMultiLabelLearner implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - ensemble
```
Classifier[] ensemble
```
    - hasStarted
```
boolean hasStarted
```
    - header
```
InstancesHeader[] header
```
    - randomSeedOption
```
IntOption randomSeedOption
```
Package moa.classifiers.multitarget.functions
- Class moa.classifiers.multitarget.functions.MultiTargetNoChange extends AbstractMultiLabelLearner implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - lastSeenClasses
```
Prediction lastSeenClasses
```
Package moa.classifiers.oneclass
- Class moa.classifiers.oneclass.Autoencoder extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - biasOne
```
double biasOne
```
      The bias for the calculations between the input layer and the hidden layer.
    - biasTwo
```
double biasTwo
```
      the bias for the calculations between the hidden layer and the output layer.
    - hiddenLayerOption
```
IntOption hiddenLayerOption
```
    - hiddenLayerSize
```
int hiddenLayerSize
```
      The number of neurons in the hidden layer.
    - learningRate
```
double learningRate
```
      The learning rate; controls the size of the adjustments of the weights and bias unit.
    - learningRateOption
```
FloatOption learningRateOption
```
    - numAttributes
```
int numAttributes
```
      The dimensionality of the data stream.
    - reset
```
boolean reset
```
      If true, denotes that the autoencoder needs to be initialized.
    - threshold
```
double threshold
```
      Controls the cut off point for declaring outliers.
    - thresholdOption
```
FloatOption thresholdOption
```
    - weightsOne
```
org.apache.commons.math3.linear.RealMatrix weightsOne
```
      The weights between the input layer and the hidden layer.
    - weightsTwo
```
org.apache.commons.math3.linear.RealMatrix weightsTwo
```
      the weights between the hidden layer and the output layer.
- Class moa.classifiers.oneclass.HSTreeNode extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - depth
```
int depth
```
      The depth of this node in the HSTree. The root node is at depth 1.
    - dimensions
```
int dimensions
```
      The dimensionality of the data stream.
    - internalNode
```
boolean internalNode
```
      If this node is an internal node: true, if it is a leaf node: false.
    - l
```
int l
```
      The mass profile of the latest window.
    - left
```
HSTreeNode left
```
      The left/right nodes pointed to by this node.
    - r
```
int r
```
      The mass profile of the reference window.
    - right
```
HSTreeNode right
```
      The left/right nodes pointed to by this node.
    - splitAttribute
```
int splitAttribute
```
      The randomly chosen attribute that this node splits on. In the paper this is 'q'.
    - splitValue
```
double splitValue
```
      The midpoint of the split attribute in the workspace of the node.
      
      See Also:
      
      HSTreeNode.splitAttribute
- Class moa.classifiers.oneclass.HSTrees extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - anomalyThreshold
```
double anomalyThreshold
```
      The threshold for declaring anomalies
    - anomalyThresholdOption
```
FloatOption anomalyThresholdOption
```
    - dimensions
```
int dimensions
```
      The dimensionality of the data stream.
    - forest
```
HSTreeNode[] forest
```
      The forest of HSTrees
    - maxDepth
```
int maxDepth
```
      The maximum depth of the trees - 'maxDepth' in the original paper.
    - maxDepthOption
```
IntOption maxDepthOption
```
    - numInstances
```
int numInstances
```
      The number of instances from the data stream processed to date.
    - numTrees
```
int numTrees
```
      The number of trees in the ensemble - 't' in the original paper.
    - numTreesOption
```
IntOption numTreesOption
```
    - referenceWindow
```
boolean referenceWindow
```
      If the classifier is in the first reference window: true, else: false
    - sizeLimit
```
double sizeLimit
```
      The minimum mass required in a node (as a fraction of the window size) to calculate the anomaly score. 'sizeLimit' in the original paper.
    - sizeLimitOption
```
FloatOption sizeLimitOption
```
    - windowSize
```
int windowSize
```
      The size of the landmark windows used - 'psi' in the original paper.
    - windowSizeOption
```
IntOption windowSizeOption
```
- Class moa.classifiers.oneclass.NearestNeighbourDescription extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - nbhdSize
```
int nbhdSize
```
    - neighbourhood
```
FixedLengthList<E> neighbourhood
```
    - neighbourhoodSizeOption
```
IntOption neighbourhoodSizeOption
```
    - tau
```
double tau
```
    - thresholdOption
```
FloatOption thresholdOption
```

Package moa.classifiers.rules

Class moa.classifiers.rules.AbstractAMRules extends AbstractClassifier implements Serializable

serialVersionUID:

1L
- Serialized Fields
  - anomalyNumInstThresholdOption
```
IntOption anomalyNumInstThresholdOption
```
  - attributesPercentage
```
double attributesPercentage
```
  - defaultRule
```
Rule defaultRule
```
  - DriftDetectionOption
```
FlagOption DriftDetectionOption
```
  - gracePeriodOption
```
IntOption gracePeriodOption
```
  - multivariateAnomalyProbabilityThresholdOption
```
FloatOption multivariateAnomalyProbabilityThresholdOption
```
  - noAnomalyDetectionOption
```
FlagOption noAnomalyDetectionOption
```
  - numAnomaliesDetected
```
double numAnomaliesDetected
```
  - numChangesDetected
```
double numChangesDetected
```
    AMRules Algorithm. Method for updating (training) the AMRules model using a new instance
  - numericObserverOption
```
ClassOption numericObserverOption
```
  - numInstances
```
double numInstances
```
  - pageHinckleyAlphaOption
```
FloatOption pageHinckleyAlphaOption
```
  - pageHinckleyThresholdOption
```
IntOption pageHinckleyThresholdOption
```
  - ruleNumberID
```
int ruleNumberID
```
  - ruleSet
```
RuleSet ruleSet
```
  - splitConfidenceOption
```
FloatOption splitConfidenceOption
```
  - statistics
```
double[] statistics
```
  - tieThresholdOption
```
FloatOption tieThresholdOption
```
  - univariateAnomalyprobabilityThresholdOption
```
FloatOption univariateAnomalyprobabilityThresholdOption
```
  - unorderedRulesOption
```
FlagOption unorderedRulesOption
```
  - VerbosityOption
```
IntOption VerbosityOption
```
Class moa.classifiers.rules.AMRulesRegressor extends AMRulesMultiTargetRegressor implements Serializable

serialVersionUID:

1L
Class moa.classifiers.rules.AMRulesRegressorOld extends AbstractAMRules implements Serializable

serialVersionUID:

5988040868275521928L
- Serialized Fields
  - constantLearningRatioDecayOption
```
FlagOption constantLearningRatioDecayOption
```
  - learningRatioOption
```
FloatOption learningRatioOption
```
  - predictionFunctionOption
```
MultiChoiceOption predictionFunctionOption
```
  - splitCriterionOption
```
ClassOption splitCriterionOption
```
  - votingTypeOption
```
ClassOption votingTypeOption
```
Class moa.classifiers.rules.BinaryClassifierFromRegressor extends AbstractClassifier implements Serializable

serialVersionUID:

8271864290912280188L
- Serialized Fields
  - baseLearnerOption
```
ClassOption baseLearnerOption
```
  - regressor
```
Classifier regressor
```
Class moa.classifiers.rules.Predicates extends AbstractMOAObject implements Serializable

serialVersionUID:

1L
- Serialized Fields
  - attributeValue
```
double attributeValue
```
  - symbol
```
double symbol
```
  - value
```
double value
```

Class moa.classifiers.rules.RuleClassification extends AbstractMOAObject implements Serializable

serialVersionUID:: 1L

Serialized Fields

actualClassStatistics
```
double actualClassStatistics
```
attributeMissingValues
```
DoubleVector attributeMissingValues
```
attributesProbability
```
DoubleVector attributesProbability
```
attributeStatistics
```
DoubleVector attributeStatistics
```

attributeStatisticsSupervised

java.util.ArrayList<E extends java.lang.Object> attributeStatisticsSupervised

instancesSeen
```
int instancesSeen
```
instancesSeenTest
```
int instancesSeenTest
```
obserClassDistrib
```
DoubleVector obserClassDistrib
```
observers
```
AutoExpandVector<T> observers
```
observersGauss
```
AutoExpandVector<T> observersGauss
```
PHmT
```
double PHmT
```
PHMT
```
double PHMT
```

predicateSet

java.util.ArrayList<E extends java.lang.Object> predicateSet

reset
```
boolean reset
```
squaredActualClassStatistics
```
double squaredActualClassStatistics
```
squaredAttributeStatistics
```
DoubleVector squaredAttributeStatistics
```

squaredAttributeStatisticsSupervised

java.util.ArrayList<E extends java.lang.Object> squaredAttributeStatisticsSupervised

ValorTargetRule
```
double ValorTargetRule
```
weightAttribute
```
double[] weightAttribute
```
XiSum
```
double XiSum
```

Class moa.classifiers.rules.RuleClassifier extends AbstractClassifier implements Serializable

serialVersionUID:: 1L

Serialized Fields

anomalyDetectionOption
```
FlagOption anomalyDetectionOption
```
anomalyNumInstThresholdOption
```
IntOption anomalyNumInstThresholdOption
```

anomalyProbabilityThresholdOption

FloatOption anomalyProbabilityThresholdOption

attributeObservers
```
AutoExpandVector<T> attributeObservers
```

attributeObserversGauss

AutoExpandVector<T> attributeObserversGauss

caseAnomaly

java.util.ArrayList<E extends java.lang.Object> caseAnomaly

caseAnomalySupervised

java.util.ArrayList<E extends java.lang.Object> caseAnomalySupervised

cutPointTemp
```
double cutPointTemp
```
gracePeriodOption
```
IntOption gracePeriodOption
```
instance
```
Instance instance
```
minEntropyNominalAttrib
```
double minEntropyNominalAttrib
```
minEntropyTemp
```
double minEntropyTemp
```
numAttributes
```
int numAttributes
```
numClass
```
int numClass
```
numInstance
```
int numInstance
```
observedClassDistribution
```
DoubleVector observedClassDistribution
```
orderedRulesOption
```
FlagOption orderedRulesOption
```
PminOption
```
FloatOption PminOption
```
pred
```
Predicates pred
```

predictionFunctionOption

MultiChoiceOption predictionFunctionOption

probabilityThresholdOption
```
FloatOption probabilityThresholdOption
```

root

BinaryTreeNumericAttributeClassObserver.Node root

ruleAnomaliesIndex

java.util.ArrayList<E extends java.lang.Object> ruleAnomaliesIndex

ruleAnomaliesIndexSupervised

java.util.ArrayList<E extends java.lang.Object> ruleAnomaliesIndexSupervised

ruleAttribAnomalyStatistics

java.util.ArrayList<E extends java.lang.Object> ruleAttribAnomalyStatistics

ruleAttribAnomalyStatisticsSupervised

java.util.ArrayList<E extends java.lang.Object> ruleAttribAnomalyStatisticsSupervised

ruleClassIndex
```
DoubleVector ruleClassIndex
```

ruleSet

java.util.ArrayList<E extends java.lang.Object> ruleSet

ruleSetAnomalies

java.util.ArrayList<E extends java.lang.Object> ruleSetAnomalies

ruleSetAnomaliesSupervised

java.util.ArrayList<E extends java.lang.Object> ruleSetAnomaliesSupervised

saveBestEntropy
```
DoubleVector saveBestEntropy
```

saveBestEntropyNominalAttrib

DoubleVector saveBestEntropyNominalAttrib

saveBestGlobalEntropy
```
DoubleVector saveBestGlobalEntropy
```

saveBestValGlobalEntropy

java.util.ArrayList<E extends java.lang.Object> saveBestValGlobalEntropy

saveTheBest

java.util.ArrayList<E extends java.lang.Object> saveTheBest

splitConfidenceOption
```
FloatOption splitConfidenceOption
```
Supervised
```
FlagOption Supervised
```
symbol
```
double symbol
```
tieThresholdOption
```
FloatOption tieThresholdOption
```
Unsupervised
```
FlagOption Unsupervised
```

Class moa.classifiers.rules.RuleClassifierNBayes extends RuleClassifier implements Serializable

serialVersionUID:

1L
- Serialized Fields
  - nbThresholdOption
```
IntOption nbThresholdOption
```

Package moa.classifiers.rules.core
- Class moa.classifiers.rules.core.NominalRulePredicate extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - attributeValue
```
double attributeValue
```
    - inputAttributeIndex
```
int inputAttributeIndex
```
    - isEqual
```
boolean isEqual
```
- Class moa.classifiers.rules.core.NumericRulePredicate extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - attributeValue
```
double attributeValue
```
    - inputAttributeIndex
```
int inputAttributeIndex
```
    - isEqualOrLower
```
boolean isEqualOrLower
```
- Class moa.classifiers.rules.core.Rule extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - amRules
```
AbstractAMRules amRules
```
    - builder
```
Rule.Builder builder
```
    - learningNode
```
RuleActiveLearningNode learningNode
```
    - nodeList
```
java.util.List<E extends java.lang.Object> nodeList
```
    - ruleNumberID
```
int ruleNumberID
```
    - statisticsOtherBranchSplit
```
double[] statisticsOtherBranchSplit
```
- Class moa.classifiers.rules.core.Rule.Builder extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1712887264918475622L
  - Serialized Fields
    - alpha
```
double alpha
```
    - amRules
```
AbstractAMRules amRules
```
    - changeDetection
```
boolean changeDetection
```
    - constantLearningRatioDecayOption
```
FlagOption constantLearningRatioDecayOption
```
    - id
```
int id
```
    - lastTargetMean
```
double lastTargetMean
```
    - learningRatioOption
```
FloatOption learningRatioOption
```
    - owner
```
Rule owner
```
    - predictionFunction
```
int predictionFunction
```
    - statistics
```
double[] statistics
```
    - threshold
```
double threshold
```
    - usePerceptron
```
boolean usePerceptron
```
- Class moa.classifiers.rules.core.RuleActiveLearningNode extends HoeffdingTree.ActiveLearningNode implements Serializable
  
  serialVersionUID:
  
  9129659494380381126L
  - Serialized Fields
    - amRules
```
AbstractAMRules amRules
```
    - attributesMask
```
boolean[] attributesMask
```
    - bestSuggestion
```
AttributeSplitSuggestion bestSuggestion
```
    - changeDetection
```
boolean changeDetection
```
    - nodeStatistics
```
DoubleVector nodeStatistics
```
    - numAttributesSelected
```
int numAttributesSelected
```
    - owner
```
Rule owner
```
    - pageHinckleyTest
```
PageHinkleyTest pageHinckleyTest
```
    - predictionFunction
```
int predictionFunction
```
    - splitIndex
```
int splitIndex
```
    - statisticsBranchSplit
```
double[] statisticsBranchSplit
```
    - statisticsNewRuleActiveLearningNode
```
double[] statisticsNewRuleActiveLearningNode
```
    - statisticsOtherBranchSplit
```
double[] statisticsOtherBranchSplit
```
- Class moa.classifiers.rules.core.RuleActiveRegressionNode extends RuleActiveLearningNode implements Serializable
  
  serialVersionUID:
  
  1607453624545272049L
  - Serialized Fields
    - perceptron
```
Perceptron perceptron
```
    - targetMean
```
TargetMean targetMean
```
- Class moa.classifiers.rules.core.RuleSet extends java.util.ArrayList<Rule> implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.rules.core.RuleSplitNode extends HoeffdingTree.SplitNode implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - lastTargetMean
```
double lastTargetMean
```
    - operatorObserver
```
int operatorObserver
```
Package moa.classifiers.rules.core.anomalydetection
- Class moa.classifiers.rules.core.anomalydetection.AbstractAnomalyDetector extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.rules.core.anomalydetection.AnomalinessRatioScore extends AbstractAnomalyDetector implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - anomalyScore
```
double anomalyScore
```
    - minInstances
```
int minInstances
```
    - minNumberInstancesOption
```
IntOption minNumberInstancesOption
```
    - percentageAnomalous
```
double percentageAnomalous
```
    - percentageAnomalousAttributesOption
```
FloatOption percentageAnomalousAttributesOption
```
    - probabilityFunction
```
ProbabilityFunction probabilityFunction
```
    - probabilityFunctionOption
```
ClassOption probabilityFunctionOption
```
    - sufficientStatistics
```
AutoExpandVector<T> sufficientStatistics
```
    - univariateAnomalyprobabilityThresholdOption
```
FloatOption univariateAnomalyprobabilityThresholdOption
```
    - univariateThreshold
```
double univariateThreshold
```
    - weightSeen
```
double weightSeen
```
- Class moa.classifiers.rules.core.anomalydetection.NoAnomalyDetection extends AbstractAnomalyDetector implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - anomalyScore
```
double anomalyScore
```
- Class moa.classifiers.rules.core.anomalydetection.OddsRatioScore extends AbstractAnomalyDetector implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - anomalyScore
```
double anomalyScore
```
    - minInstances
```
int minInstances
```
    - minNumberInstancesOption
```
IntOption minNumberInstancesOption
```
    - probabilityFunction
```
ProbabilityFunction probabilityFunction
```
    - probabilityFunctionOption
```
ClassOption probabilityFunctionOption
```
    - sufficientStatistics
```
AutoExpandVector<T> sufficientStatistics
```
    - threshold
```
double threshold
```
    - thresholdOption
```
FloatOption thresholdOption
```
    - weightSeen
```
double weightSeen
```
Package moa.classifiers.rules.core.anomalydetection.probabilityfunctions
- Class moa.classifiers.rules.core.anomalydetection.probabilityfunctions.CantellisInequality extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.rules.core.anomalydetection.probabilityfunctions.ChebyshevInequality extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.rules.core.anomalydetection.probabilityfunctions.GaussInequality extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
Package moa.classifiers.rules.core.attributeclassobservers
- Class moa.classifiers.rules.core.attributeclassobservers.FIMTDDNumericAttributeClassLimitObserver extends FIMTDDNumericAttributeClassObserver implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - maxNodes
```
int maxNodes
```
    - maxNodesOption
```
IntOption maxNodesOption
```
    - numNodes
```
int numNodes
```
- Class moa.classifiers.rules.core.attributeclassobservers.FIMTDDNumericAttributeClassLimitObserver.Node extends FIMTDDNumericAttributeClassObserver.Node implements Serializable
  
  serialVersionUID:
  
  -4484141636424708465L
  - Serialized Fields
    - root
```
FIMTDDNumericAttributeClassLimitObserver.Node root
```
Package moa.classifiers.rules.core.changedetection
- Class moa.classifiers.rules.core.changedetection.NoChangeDetection extends AbstractChangeDetector implements Serializable
  
  serialVersionUID:
  
  1L
Package moa.classifiers.rules.core.conditionaltests
- Class moa.classifiers.rules.core.conditionaltests.NominalAttributeBinaryRulePredicate extends NominalAttributeBinaryTest implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - state
```
boolean state
```
- Class moa.classifiers.rules.core.conditionaltests.NumericAttributeBinaryRulePredicate extends InstanceConditionalBinaryTest implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - attIndex
```
int attIndex
```
    - attValue
```
double attValue
```
    - operator
```
int operator
```
    - state
```
boolean state
```
Package moa.classifiers.rules.core.splitcriteria
- Class moa.classifiers.rules.core.splitcriteria.SDRSplitCriterionAMRules extends SDRSplitCriterion implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.rules.core.splitcriteria.SDRSplitCriterionAMRulesNode extends SDRSplitCriterionAMRules implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.rules.core.splitcriteria.VarianceRatioSplitCriterion extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  -1066043659710778883L
- Class moa.classifiers.rules.core.splitcriteria.VRSplitCriterion extends VarianceReductionSplitCriterion implements Serializable
  
  serialVersionUID:
  
  -1066043659710778883L
Package moa.classifiers.rules.core.voting
- Class moa.classifiers.rules.core.voting.AbstractErrorWeightedVote extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  -7340491298217227675L
  - Serialized Fields
    - errors
```
java.util.List<E extends java.lang.Object> errors
```
    - votes
```
java.util.List<E extends java.lang.Object> votes
```
    - weights
```
double[] weights
```
- Class moa.classifiers.rules.core.voting.ExpNegErrorWeightedVote extends AbstractErrorWeightedVote implements Serializable
  
  serialVersionUID:
  
  6359349250620616482L
- Class moa.classifiers.rules.core.voting.InverseErrorWeightedVote extends AbstractErrorWeightedVote implements Serializable
  
  serialVersionUID:
  
  6359349250620616482L
- Class moa.classifiers.rules.core.voting.MinErrorWeightedVote extends AbstractErrorWeightedVote implements Serializable
  
  serialVersionUID:
  
  -205142097727766386L
- Class moa.classifiers.rules.core.voting.OneMinusErrorWeightedVote extends AbstractErrorWeightedVote implements Serializable
  
  serialVersionUID:
  
  920127665512056969L
- Class moa.classifiers.rules.core.voting.UniformWeightedVote extends AbstractErrorWeightedVote implements Serializable
  
  serialVersionUID:
  
  6359349250620616482L
Package moa.classifiers.rules.driftdetection
- Class moa.classifiers.rules.driftdetection.PageHinkleyFading extends PageHinkleyTest implements Serializable
  
  serialVersionUID:
  
  7110953184708812339L
  - Serialized Fields
    - fadingFactor
```
double fadingFactor
```
    - instancesSeen
```
double instancesSeen
```
- Class moa.classifiers.rules.driftdetection.PageHinkleyTest extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - alpha
```
double alpha
```
    - cumulativeSum
```
double cumulativeSum
```
    - minimumValue
```
double minimumValue
```
    - phinstancesSeen
```
long phinstancesSeen
```
    - sumAbsolutError
```
double sumAbsolutError
```
    - threshold
```
double threshold
```
Package moa.classifiers.rules.errormeasurers
- Class moa.classifiers.rules.errormeasurers.ErrorMeasurement extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - fadingErrorFactor
```
double fadingErrorFactor
```
    - fadingErrorFactorOption
```
FloatOption fadingErrorFactorOption
```
- Class moa.classifiers.rules.errormeasurers.MeanAbsoluteDeviation extends ErrorMeasurement implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - sumError
```
double sumError
```
    - weightSeen
```
double weightSeen
```
- Class moa.classifiers.rules.errormeasurers.RootMeanSquaredError extends ErrorMeasurement implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - sumSquaredError
```
double sumSquaredError
```
    - weightSeen
```
double weightSeen
```
Package moa.classifiers.rules.featureranking
- Class moa.classifiers.rules.featureranking.AbstractFeatureRanking extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.rules.featureranking.BasicFeatureRanking extends AbstractFeatureRanking implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - attributeImportance
```
DoubleVector attributeImportance
```
    - ruleInformation
```
java.util.HashMap<K extends java.lang.Object,V extends java.lang.Object> ruleInformation
```
- Class moa.classifiers.rules.featureranking.MeritFeatureRanking extends AbstractFeatureRanking implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - attributeImportance
```
DoubleVector attributeImportance
```
    - ruleInformation
```
java.util.HashMap<K extends java.lang.Object,V extends java.lang.Object> ruleInformation
```
- Class moa.classifiers.rules.featureranking.NoFeatureRanking extends AbstractFeatureRanking implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.rules.featureranking.WeightedMajorityFeatureRanking extends AbstractFeatureRanking implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - attributeImportance
```
double[] attributeImportance
```
    - meritThresholdOption
```
FloatOption meritThresholdOption
```
    - ruleInformation
```
java.util.HashMap<K extends java.lang.Object,V extends java.lang.Object> ruleInformation
```
Package moa.classifiers.rules.functions
- Class moa.classifiers.rules.functions.AdaptiveNodePredictor extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - hasStarted
```
boolean hasStarted
```
    - p
```
Perceptron p
```
    - tm
```
TargetMean tm
```
- Class moa.classifiers.rules.functions.FadingTargetMean extends TargetMean implements Serializable
  
  serialVersionUID:
  
  -1383391769242905972L
  - Serialized Fields
    - fadingFactor
```
double fadingFactor
```
    - fadingFactorOption
```
FloatOption fadingFactorOption
```
    - nD
```
double nD
```
- Class moa.classifiers.rules.functions.LowPassFilteredLearner extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - alpha
```
double alpha
```
    - alphaOption
```
FloatOption alphaOption
```
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - hasStarted
```
boolean hasStarted
```
    - lastX
```
double lastX
```
    - lastY
```
double lastY
```
    - learner
```
AbstractClassifier learner
```
- Class moa.classifiers.rules.functions.Perceptron extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - accumulatedError
```
double accumulatedError
```
    - constantLearningRatioDecayOption
```
FlagOption constantLearningRatioDecayOption
```
    - fadingFactor
```
double fadingFactor
```
    - fadingFactorOption
```
FloatOption fadingFactorOption
```
    - initialisePerceptron
```
boolean initialisePerceptron
```
    - learningRateDecay
```
double learningRateDecay
```
    - learningRateDecayOption
```
FloatOption learningRateDecayOption
```
    - learningRatio
```
double learningRatio
```
    - learningRatioOption
```
FloatOption learningRatioOption
```
    - nError
```
double nError
```
    - numericAttributesIndex
```
int[] numericAttributesIndex
```
    - perceptronattributeStatistics
```
DoubleVector perceptronattributeStatistics
```
    - perceptronInstancesSeen
```
double perceptronInstancesSeen
```
    - perceptronsumY
```
double perceptronsumY
```
    - perceptronYSeen
```
double perceptronYSeen
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - SD_THRESHOLD
```
double SD_THRESHOLD
```
    - squaredperceptronattributeStatistics
```
DoubleVector squaredperceptronattributeStatistics
```
    - squaredperceptronsumY
```
double squaredperceptronsumY
```
    - weightAttribute
```
double[] weightAttribute
```
- Class moa.classifiers.rules.functions.TargetMean extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  7152547322803559115L
  - Serialized Fields
    - errorSum
```
double errorSum
```
    - fadingErrorFactor
```
double fadingErrorFactor
```
    - fadingErrorFactorOption
```
FloatOption fadingErrorFactorOption
```
    - n
```
double n
```
    - nError
```
double nError
```
    - sum
```
double sum
```
Package moa.classifiers.rules.meta
- Class moa.classifiers.rules.meta.RandomAMRules extends MultiLabelRandomAMRules implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.rules.meta.RandomAMRulesOld extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - dataset
```
InstancesHeader[] dataset
```
    - ensemble
```
AbstractAMRules[] ensemble
```
    - ensembleSizeOption
```
IntOption ensembleSizeOption
```
    - fadingErrorFactorOption
```
FloatOption fadingErrorFactorOption
```
    - isRegression
```
boolean isRegression
```
    - listAttributes
```
int[][] listAttributes
```
    - nError
```
double[] nError
```
    - numAttributes
```
int numAttributes
```
    - numAttributesPercentageOption
```
FloatOption numAttributesPercentageOption
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - sumError
```
double[] sumError
```
    - useBaggingOption
```
FlagOption useBaggingOption
```
    - VerbosityOption
```
IntOption VerbosityOption
```
    - votingFunctionOption
```
ClassOption votingFunctionOption
```
    - votingTypeOption
```
MultiChoiceOption votingTypeOption
```
Package moa.classifiers.rules.multilabel
- Class moa.classifiers.rules.multilabel.AMRulesMultiLabelClassifier extends AMRulesMultiLabelLearner implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.rules.multilabel.AMRulesMultiLabelLearner extends AbstractMultiLabelLearner implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - anomalyDetector
```
ClassOption anomalyDetector
```
    - attributesPercentage
```
double attributesPercentage
```
    - changeDetector
```
ClassOption changeDetector
```
    - defaultRule
```
MultiLabelRule defaultRule
```
    - dropOldRuleAfterExpansionOption
```
FlagOption dropOldRuleAfterExpansionOption
```
    - errorMeasurerOption
```
ClassOption errorMeasurerOption
```
    - featureRanking
```
FeatureRanking featureRanking
```
    - featureRankingOption
```
ClassOption featureRankingOption
```
    - gracePeriodOption
```
IntOption gracePeriodOption
```
    - inputSelectorOption
```
ClassOption inputSelectorOption
```
    - learnerOption
```
ClassOption learnerOption
```
    - nAttributes
```
int nAttributes
```
    - nominalObserverOption
```
ClassOption nominalObserverOption
```
    - numAnomaliesDetected
```
double numAnomaliesDetected
```
    - numChangesDetected
```
double numChangesDetected
```
      AMRules Algorithm. Method for updating (training) the AMRules model using a new instance
    - numericObserverOption
```
ClassOption numericObserverOption
```
    - numInstances
```
double numInstances
```
    - observer
```
ObserverMOAObject observer
```
    - outputSelectorOption
```
ClassOption outputSelectorOption
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - ruleNumberID
```
int ruleNumberID
```
    - ruleSet
```
MultiLabelRuleSet ruleSet
```
    - splitConfidenceOption
```
FloatOption splitConfidenceOption
```
    - splitCriterionOption
```
ClassOption splitCriterionOption
```
    - statistics
```
double[] statistics
```
    - tieThresholdOption
```
FloatOption tieThresholdOption
```
    - unorderedRulesOption
```
FlagOption unorderedRulesOption
```
    - VerbosityOption
```
IntOption VerbosityOption
```
    - weightedVoteOption
```
ClassOption weightedVoteOption
```
- Class moa.classifiers.rules.multilabel.AMRulesMultiLabelLearnerSemiSuper extends AbstractMultiLabelLearner implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - anomalyDetector
```
ClassOption anomalyDetector
```
    - anomalyDetector2
```
AnomalyDetector anomalyDetector2
```
    - attributesPercentage
```
double attributesPercentage
```
    - changeDetector
```
ClassOption changeDetector
```
    - defaultRule
```
MultiLabelRule defaultRule
```
    - dropOldRuleAfterExpansionOption
```
FlagOption dropOldRuleAfterExpansionOption
```
    - errorMeasurerOption
```
ClassOption errorMeasurerOption
```
    - featureRanking
```
FeatureRanking featureRanking
```
    - featureRankingOption
```
ClassOption featureRankingOption
```
    - gracePeriodOption
```
IntOption gracePeriodOption
```
    - hasModel
```
boolean hasModel
```
    - inputSelectorOption
```
ClassOption inputSelectorOption
```
    - isUnlabeled
```
boolean isUnlabeled
```
    - learnerOption
```
ClassOption learnerOption
```
    - nAttributes
```
int nAttributes
```
    - nominalObserverOption
```
ClassOption nominalObserverOption
```
    - numAnomaliesDetected
```
double numAnomaliesDetected
```
    - numberTotalExamples
```
int numberTotalExamples
```
    - numChangesDetected
```
double numChangesDetected
```
      AMRules Algorithm. Method for updating (training) the AMRules model using a new instance
    - numericObserverOption
```
ClassOption numericObserverOption
```
    - numInstances
```
double numInstances
```
    - observer
```
ObserverMOAObject observer
```
    - outputSelectorOption
```
ClassOption outputSelectorOption
```
    - prediction
```
Prediction prediction
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - ruleNumberID
```
int ruleNumberID
```
    - ruleSet
```
MultiLabelRuleSet ruleSet
```
    - scoreThreshold
```
FloatOption scoreThreshold
```
    - slidingWindowSize
```
IntOption slidingWindowSize
```
    - slidingWindowStep
```
IntOption slidingWindowStep
```
    - splitConfidenceOption
```
FloatOption splitConfidenceOption
```
    - splitCriterionOption
```
ClassOption splitCriterionOption
```
    - statistics
```
double[] statistics
```
    - tieThresholdOption
```
FloatOption tieThresholdOption
```
    - unorderedRulesOption
```
FlagOption unorderedRulesOption
```
    - VerbosityOption
```
IntOption VerbosityOption
```
    - weightedVoteOption
```
ClassOption weightedVoteOption
```
- Class moa.classifiers.rules.multilabel.AMRulesMultiTargetRegressor extends AMRulesMultiLabelLearner implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.rules.multilabel.AMRulesMultiTargetRegressorSemiSuper extends AMRulesMultiLabelLearnerSemiSuper implements Serializable
  
  serialVersionUID:
  
  1L
Package moa.classifiers.rules.multilabel.attributeclassobservers
- Class moa.classifiers.rules.multilabel.attributeclassobservers.MultiLabelBSTree extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - leftStatistics
```
DoubleVector[] leftStatistics
```
    - maxNodes
```
int maxNodes
```
    - maxNodesOption
```
IntOption maxNodesOption
```
    - numNodes
```
int numNodes
```
    - rightStatistics
```
DoubleVector[] rightStatistics
```
    - root
```
MultiLabelBSTree.Node root
```
- Class moa.classifiers.rules.multilabel.attributeclassobservers.MultiLabelBSTree.Node extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - cutPoint
```
double cutPoint
```
    - left
```
MultiLabelBSTree.Node left
```
    - leftStatistics
```
DoubleVector[] leftStatistics
```
    - right
```
MultiLabelBSTree.Node right
```
    - rightStatistics
```
DoubleVector[] rightStatistics
```
- Class moa.classifiers.rules.multilabel.attributeclassobservers.MultiLabelBSTreeFloat extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - leftStatistics
```
DoubleVector[] leftStatistics
```
    - maxNodes
```
int maxNodes
```
    - maxNodesOption
```
IntOption maxNodesOption
```
    - numNodes
```
int numNodes
```
    - rightStatistics
```
DoubleVector[] rightStatistics
```
    - root
```
MultiLabelBSTreeFloat.Node root
```
- Class moa.classifiers.rules.multilabel.attributeclassobservers.MultiLabelBSTreeFloat.Node extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - cutPoint
```
float cutPoint
```
    - left
```
MultiLabelBSTreeFloat.Node left
```
    - leftStatistics
```
SingleVector[] leftStatistics
```
    - right
```
MultiLabelBSTreeFloat.Node right
```
    - rightStatistics
```
SingleVector[] rightStatistics
```
- Class moa.classifiers.rules.multilabel.attributeclassobservers.MultiLabelNominalAttributeObserver extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - addUndeclaredValuesOption
```
FlagOption addUndeclaredValuesOption
```
    - statisticsByNominalValue
```
java.util.HashMap<K extends java.lang.Object,V extends java.lang.Object> statisticsByNominalValue
```
- Class moa.classifiers.rules.multilabel.attributeclassobservers.SingleVector extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - array
```
float[] array
```
Package moa.classifiers.rules.multilabel.core
- Class moa.classifiers.rules.multilabel.core.AttributeExpansionSuggestion extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - merit
```
double merit
```
    - predicate
```
Predicate predicate
```
    - resultingNodeStatistics
```
DoubleVector[][] resultingNodeStatistics
```
- Class moa.classifiers.rules.multilabel.core.LearningLiteral extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - anomalyDetector
```
AnomalyDetector anomalyDetector
```
    - attributeObservers
```
AutoExpandVector<T> attributeObservers
```
    - attributesMask
```
boolean[] attributesMask
```
    - attributesPercentage
```
double attributesPercentage
```
    - bestSuggestion
```
AttributeExpansionSuggestion bestSuggestion
```
    - changeDetector
```
ChangeDetector changeDetector
```
    - changeDetectors
```
ChangeDetector[] changeDetectors
```
    - errorMeasurer
```
MultiLabelErrorMeasurer errorMeasurer
```
    - expandedLearningLiteral
```
LearningLiteral expandedLearningLiteral
```
    - hasStarted
```
boolean hasStarted
```
    - inputSelector
```
InputAttributesSelector inputSelector
```
    - inputsToLearn
```
int[] inputsToLearn
```
    - instanceHeader
```
InstancesHeader instanceHeader
```
    - instanceInformation
```
InstanceInformation instanceInformation
```
    - instanceTransformer
```
InstanceTransformer instanceTransformer
```
    - learner
```
MultiLabelLearner learner
```
    - literalStatistics
```
DoubleVector[] literalStatistics
```
    - meritPerInput
```
double[] meritPerInput
```
    - nominalStatisticsObserver
```
NominalStatisticsObserver nominalStatisticsObserver
```
    - numericStatisticsObserver
```
NumericStatisticsObserver numericStatisticsObserver
```
    - otherBranchLearningLiteral
```
LearningLiteral otherBranchLearningLiteral
```
    - otherOutputsLearningLiteral
```
LearningLiteral otherOutputsLearningLiteral
```
    - outputSelector
```
OutputAttributesSelector outputSelector
```
    - outputsToLearn
```
int[] outputsToLearn
```
    - randomGenerator
```
java.util.Random randomGenerator
```
    - splitCriterion
```
MultiLabelSplitCriterion splitCriterion
```
    - weightSeen
```
double weightSeen
```
- Class moa.classifiers.rules.multilabel.core.LearningLiteralClassification extends LearningLiteral implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - EntropyShift
```
double[] EntropyShift
```
- Class moa.classifiers.rules.multilabel.core.LearningLiteralRegression extends LearningLiteral implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - varianceShift
```
double[] varianceShift
```
- Class moa.classifiers.rules.multilabel.core.Literal extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - predicate
```
Predicate predicate
```
- Class moa.classifiers.rules.multilabel.core.MultiLabelRule extends ObservableMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - instanceInformation
```
InstanceInformation instanceInformation
```
    - learningLiteral
```
LearningLiteral learningLiteral
```
    - literalList
```
java.util.List<E extends java.lang.Object> literalList
```
    - otherBranchRule
```
MultiLabelRule otherBranchRule
```
    - otherOutputsRule
```
MultiLabelRule otherOutputsRule
```
    - ruleNumberID
```
int ruleNumberID
```
- Class moa.classifiers.rules.multilabel.core.MultiLabelRuleClassification extends MultiLabelRule implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.rules.multilabel.core.MultiLabelRuleRegression extends MultiLabelRule implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.rules.multilabel.core.MultiLabelRuleSet extends java.util.LinkedList<MultiLabelRule> implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.rules.multilabel.core.ObservableMOAObject extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - observers
```
java.util.List<E extends java.lang.Object> observers
```
Package moa.classifiers.rules.multilabel.core.splitcriteria
- Class moa.classifiers.rules.multilabel.core.splitcriteria.MultilabelInformationGain extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.rules.multilabel.core.splitcriteria.MultiTargetVarianceRatio extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
Package moa.classifiers.rules.multilabel.core.voting
- Class moa.classifiers.rules.multilabel.core.voting.AbstractErrorWeightedVoteMultiLabel extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - errors
```
java.util.List<E extends java.lang.Object> errors
```
    - outputAttributesCount
```
int[] outputAttributesCount
```
    - votes
```
java.util.List<E extends java.lang.Object> votes
```
    - weightedVote
```
Prediction weightedVote
```
    - weights
```
double[][] weights
```
- Class moa.classifiers.rules.multilabel.core.voting.FirstHitVoteMultiLabel extends AbstractErrorWeightedVoteMultiLabel implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.rules.multilabel.core.voting.InverseErrorWeightedVoteMultiLabel extends AbstractErrorWeightedVoteMultiLabel implements Serializable
  
  serialVersionUID:
  
  6359349250620616482L
- Class moa.classifiers.rules.multilabel.core.voting.UniformWeightedVoteMultiLabel extends AbstractErrorWeightedVoteMultiLabel implements Serializable
  
  serialVersionUID:
  
  1L
Package moa.classifiers.rules.multilabel.errormeasurers
- Class moa.classifiers.rules.multilabel.errormeasurers.AbstractMultiLabelErrorMeasurer extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - fadingErrorFactor
```
double fadingErrorFactor
```
    - fadingErrorFactorOption
```
FloatOption fadingErrorFactorOption
```
- Class moa.classifiers.rules.multilabel.errormeasurers.AbstractMultiTargetErrorMeasurer extends AbstractMultiLabelErrorMeasurer implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.rules.multilabel.errormeasurers.MeanAbsoluteDeviationMT extends AbstractMultiTargetErrorMeasurer implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - hasStarted
```
boolean hasStarted
```
    - numLearnedOutputs
```
int numLearnedOutputs
```
    - sumError
```
double[] sumError
```
    - weightSeen
```
double weightSeen
```
- Class moa.classifiers.rules.multilabel.errormeasurers.RelativeMeanAbsoluteDeviationMT extends AbstractMultiTargetErrorMeasurer implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - hasStarted
```
boolean hasStarted
```
    - numLearnedOutputs
```
int numLearnedOutputs
```
    - sumError
```
double[] sumError
```
    - sumErrorToTargetMean
```
double[] sumErrorToTargetMean
```
    - sumY
```
double[] sumY
```
    - weightSeen
```
double weightSeen
```
- Class moa.classifiers.rules.multilabel.errormeasurers.RelativeRootMeanSquaredErrorMT extends AbstractMultiTargetErrorMeasurer implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - hasStarted
```
boolean hasStarted
```
    - numLearnedOutputs
```
int numLearnedOutputs
```
    - sumSquaredError
```
double[] sumSquaredError
```
    - sumSquaredErrorToTargetMean
```
double[] sumSquaredErrorToTargetMean
```
    - sumY
```
double[] sumY
```
    - weightSeen
```
double weightSeen
```
- Class moa.classifiers.rules.multilabel.errormeasurers.RootMeanSquaredErrorMT extends AbstractMultiTargetErrorMeasurer implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - hasStarted
```
boolean hasStarted
```
    - numLearnedOutputs
```
int numLearnedOutputs
```
    - sumSquaredError
```
double[] sumSquaredError
```
    - weightSeen
```
double weightSeen
```
Package moa.classifiers.rules.multilabel.functions
- Class moa.classifiers.rules.multilabel.functions.AbstractAMRulesFunctionBasicMlLearner extends BasicMultiLabelLearner implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.rules.multilabel.functions.AdaptiveMultiTargetRegressor extends AbstractMultiLabelLearner implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - baseLearner
```
MultiTargetRegressor[] baseLearner
```
    - baseLearnerOption1
```
ClassOption baseLearnerOption1
```
    - baseLearnerOption2
```
ClassOption baseLearnerOption2
```
    - errorMeasurer
```
MultiTargetErrorMeasurer[] errorMeasurer
```
    - errorMeasurerOption
```
ClassOption errorMeasurerOption
```
    - hasStarted
```
boolean hasStarted
```
    - randomSeedOption
```
IntOption randomSeedOption
```
- Class moa.classifiers.rules.multilabel.functions.DominantLabelsClassifier extends AbstractMultiLabelLearner implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - countVector
```
double[] countVector
```
    - numInstances
```
double numInstances
```
- Class moa.classifiers.rules.multilabel.functions.MultiLabelNaiveBayes extends AbstractAMRulesFunctionBasicMlLearner implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.rules.multilabel.functions.MultiLabelPerceptronClassification extends AbstractAMRulesFunctionBasicMlLearner implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.rules.multilabel.functions.MultiTargetMeanRegressor extends AbstractAMRulesFunctionBasicMlLearner implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.rules.multilabel.functions.MultiTargetPerceptronRegressor extends AbstractAMRulesFunctionBasicMlLearner implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.rules.multilabel.functions.StackedPredictor extends AbstractMultiLabelLearner implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - constantLearningRatioDecayOption
```
FlagOption constantLearningRatioDecayOption
```
    - count
```
double count
```
    - currentLearningRate
```
double currentLearningRate
```
    - hasStarted
```
boolean hasStarted
```
    - inAttrSquaredSum
```
double[] inAttrSquaredSum
```
    - inAttrSum
```
double[] inAttrSum
```
    - layer1Weights
```
double[][] layer1Weights
```
    - layer2Weights
```
double[][] layer2Weights
```
    - learningRateDecayOption
```
FloatOption learningRateDecayOption
```
    - learningRatio2ndLayerOption
```
FloatOption learningRatio2ndLayerOption
```
    - learningRatioOption
```
FloatOption learningRatioOption
```
    - numericIndices
```
java.util.LinkedList<E extends java.lang.Object> numericIndices
```
    - outAttrSquaredSum
```
double[] outAttrSquaredSum
```
    - outAttrSum
```
double[] outAttrSum
```
    - printWeightsOption
```
FlagOption printWeightsOption
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - SD_THRESHOLD
```
double SD_THRESHOLD
```
    - skipStackingOption
```
FlagOption skipStackingOption
```
Package moa.classifiers.rules.multilabel.inputselectors
- Class moa.classifiers.rules.multilabel.inputselectors.MeritThreshold extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - percentageThresholdOption
```
FloatOption percentageThresholdOption
```
- Class moa.classifiers.rules.multilabel.inputselectors.SelectAllInputs extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
Package moa.classifiers.rules.multilabel.instancetransformers
- Class moa.classifiers.rules.multilabel.instancetransformers.InstanceAttributesSelector extends InstanceOutputAttributesSelector implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - numSourceInstancesOutputs
```
int numSourceInstancesOutputs
```
    - targetInputIndices
```
int[] targetInputIndices
```
    - targetInstances
```
InstancesHeader targetInstances
```
    - targetOutputIndices
```
int[] targetOutputIndices
```
- Class moa.classifiers.rules.multilabel.instancetransformers.InstanceOutputAttributesSelector extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - numSourceInstancesOutputs
```
int numSourceInstancesOutputs
```
    - targetInstances
```
InstancesHeader targetInstances
```
    - targetOutputIndices
```
int[] targetOutputIndices
```
- Class moa.classifiers.rules.multilabel.instancetransformers.NoInstanceTransformation extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L

Package moa.classifiers.rules.multilabel.meta

Class moa.classifiers.rules.multilabel.meta.MultiLabelRandomAMRules extends AbstractMultiLabelLearner implements Serializable

serialVersionUID:: 1L

Serialized Fields

baseLearnerOption
```
ClassOption baseLearnerOption
```
ensemble
```
AMRulesMultiLabelLearner[] ensemble
```
ensembleSizeOption
```
IntOption ensembleSizeOption
```
errorMeasurer
```
MultiLabelErrorMeasurer[] errorMeasurer
```
errorMeasurerOption
```
ClassOption errorMeasurerOption
```
featureRanking
```
FeatureRanking featureRanking
```
featureRankingOption
```
ClassOption featureRankingOption
```
isRegression
```
boolean isRegression
```
nAttributes
```
int nAttributes
```

numAttributesPercentageOption

FloatOption numAttributesPercentageOption

randomSeedOption
```
IntOption randomSeedOption
```
useBaggingOption
```
FlagOption useBaggingOption
```
VerbosityOption
```
IntOption VerbosityOption
```
votingFunctionOption
```
ClassOption votingFunctionOption
```
votingTypeOption
```
MultiChoiceOption votingTypeOption
```

Package moa.classifiers.rules.multilabel.outputselectors
- Class moa.classifiers.rules.multilabel.outputselectors.EntropyThreshold extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - thresholdOption
```
FloatOption thresholdOption
```
- Class moa.classifiers.rules.multilabel.outputselectors.SelectAllOutputs extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.rules.multilabel.outputselectors.StdDevThreshold extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - thresholdOption
```
FloatOption thresholdOption
```
- Class moa.classifiers.rules.multilabel.outputselectors.VarianceThreshold extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - thresholdOption
```
FloatOption thresholdOption
```
Package moa.classifiers.trees
- Class moa.classifiers.trees.AdaHoeffdingOptionTree extends HoeffdingOptionTree implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.trees.AdaHoeffdingOptionTree.AdaLearningNode extends HoeffdingOptionTree.LearningNodeNB implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - alpha
```
double alpha
```
    - CorrectWeight
```
double CorrectWeight
```
    - mcCorrectWeight
```
double mcCorrectWeight
```
    - nbCorrectWeight
```
double nbCorrectWeight
```
- Class moa.classifiers.trees.ARFFIMTDD extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - alternateTreeFadingFactorOption
```
FloatOption alternateTreeFadingFactorOption
```
    - alternateTreeTimeOption
```
IntOption alternateTreeTimeOption
```
    - alternateTreeTMinOption
```
IntOption alternateTreeTMinOption
```
    - examplesSeen
```
double examplesSeen
```
    - gracePeriodOption
```
IntOption gracePeriodOption
```
    - leafNodeCount
```
int leafNodeCount
```
    - learningRateDecayFactorOption
```
FloatOption learningRateDecayFactorOption
```
    - learningRatioConstOption
```
FlagOption learningRatioConstOption
```
    - learningRatioOption
```
FloatOption learningRatioOption
```
    - maxID
```
int maxID
```
    - PageHinckleyAlphaOption
```
FloatOption PageHinckleyAlphaOption
```
    - PageHinckleyThresholdOption
```
IntOption PageHinckleyThresholdOption
```
    - regressionTreeOption
```
FlagOption regressionTreeOption
```
    - splitConfidenceOption
```
FloatOption splitConfidenceOption
```
    - splitCriterionOption
```
ClassOption splitCriterionOption
```
    - splitNodeCount
```
int splitNodeCount
```
    - subspaceSizeOption
```
IntOption subspaceSizeOption
```
    - sumOfAttrSquares
```
DoubleVector sumOfAttrSquares
```
    - sumOfAttrValues
```
DoubleVector sumOfAttrValues
```
    - sumOfSquares
```
double sumOfSquares
```
    - sumOfValues
```
double sumOfValues
```
    - tieThresholdOption
```
FloatOption tieThresholdOption
```
    - treeRoot
```
ARFFIMTDD.Node treeRoot
```
- Class moa.classifiers.trees.ARFFIMTDD.FIMTDDPerceptron extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - instancesSeen
```
double instancesSeen
```
    - reset
```
boolean reset
```
    - sumOfSquares
```
double sumOfSquares
```
    - sumOfValues
```
double sumOfValues
```
    - tree
```
ARFFIMTDD tree
```
    - weightAttribute
```
DoubleVector weightAttribute
```
- Class moa.classifiers.trees.ARFFIMTDD.InnerNode extends ARFFIMTDD.Node implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - children
```
AutoExpandVector<T> children
```
    - lossExamplesSeen
```
double lossExamplesSeen
```
    - lossFadedSumAlternate
```
double lossFadedSumAlternate
```
    - lossFadedSumOriginal
```
double lossFadedSumOriginal
```
    - lossNumQiTests
```
double lossNumQiTests
```
    - lossSumQi
```
double lossSumQi
```
    - PHmin
```
double PHmin
```
    - PHsum
```
double PHsum
```
    - previousWeight
```
double previousWeight
```
- Class moa.classifiers.trees.ARFFIMTDD.LeafNode extends ARFFIMTDD.Node implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - attributeObservers
```
AutoExpandVector<T> attributeObservers
```
    - examplesSeenAtLastSplitEvaluation
```
double examplesSeenAtLastSplitEvaluation
```
    - learningModel
```
ARFFIMTDD.FIMTDDPerceptron learningModel
```
    - listAttributes
```
int[] listAttributes
```
    - numAttributes
```
int numAttributes
```
- Class moa.classifiers.trees.ARFFIMTDD.Node extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - alternateTree
```
ARFFIMTDD.Node alternateTree
```
    - changeDetection
```
boolean changeDetection
```
    - examplesSeen
```
double examplesSeen
```
    - ID
```
int ID
```
    - originalNode
```
ARFFIMTDD.Node originalNode
```
    - parent
```
ARFFIMTDD.Node parent
```
    - sumOfAbsErrors
```
double sumOfAbsErrors
```
    - sumOfSquares
```
double sumOfSquares
```
    - sumOfValues
```
double sumOfValues
```
    - tree
```
ARFFIMTDD tree
```
- Class moa.classifiers.trees.ARFFIMTDD.SplitNode extends ARFFIMTDD.InnerNode implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - splitTest
```
InstanceConditionalTest splitTest
```
- Class moa.classifiers.trees.ARFHoeffdingTree extends HoeffdingTree implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - subspaceSizeOption
```
IntOption subspaceSizeOption
```
- Class moa.classifiers.trees.ARFHoeffdingTree.LearningNodeNB extends ARFHoeffdingTree.RandomLearningNode implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.trees.ARFHoeffdingTree.LearningNodeNBAdaptive extends ARFHoeffdingTree.LearningNodeNB implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - mcCorrectWeight
```
double mcCorrectWeight
```
    - nbCorrectWeight
```
double nbCorrectWeight
```
- Class moa.classifiers.trees.ARFHoeffdingTree.RandomLearningNode extends HoeffdingTree.ActiveLearningNode implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - listAttributes
```
int[] listAttributes
```
    - numAttributes
```
int numAttributes
```
- Class moa.classifiers.trees.ASHoeffdingTree extends HoeffdingTree implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - maxSize
```
int maxSize
```
    - resetTree
```
boolean resetTree
```
- Class moa.classifiers.trees.DecisionStump extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - attributeObservers
```
AutoExpandVector<T> attributeObservers
```
    - bestSplit
```
AttributeSplitSuggestion bestSplit
```
    - binarySplitsOption
```
FlagOption binarySplitsOption
```
    - gracePeriodOption
```
IntOption gracePeriodOption
```
    - observedClassDistribution
```
DoubleVector observedClassDistribution
```
    - splitCriterionOption
```
ClassOption splitCriterionOption
```
    - weightSeenAtLastSplit
```
double weightSeenAtLastSplit
```
- Class moa.classifiers.trees.EFDT extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  2L
  - Serialized Fields
    - activeLeafByteSizeEstimate
```
double activeLeafByteSizeEstimate
```
    - activeLeafNodeCount
```
int activeLeafNodeCount
```
    - binarySplitsOption
```
FlagOption binarySplitsOption
```
    - byteSizeEstimateOverheadFraction
```
double byteSizeEstimateOverheadFraction
```
    - decisionNodeCount
```
int decisionNodeCount
```
    - gracePeriodOption
```
IntOption gracePeriodOption
```
    - growthAllowed
```
boolean growthAllowed
```
    - inactiveLeafByteSizeEstimate
```
double inactiveLeafByteSizeEstimate
```
    - inactiveLeafNodeCount
```
int inactiveLeafNodeCount
```
    - leafpredictionOption
```
MultiChoiceOption leafpredictionOption
```
    - maxByteSizeOption
```
IntOption maxByteSizeOption
```
    - memoryEstimatePeriodOption
```
IntOption memoryEstimatePeriodOption
```
    - nbThresholdOption
```
IntOption nbThresholdOption
```
    - nominalEstimatorOption
```
ClassOption nominalEstimatorOption
```
    - noPrePruneOption
```
FlagOption noPrePruneOption
```
    - numericEstimatorOption
```
ClassOption numericEstimatorOption
```
    - numInstances
```
int numInstances
```
    - reEvalPeriodOption
```
IntOption reEvalPeriodOption
```
    - removePoorAttsOption
```
FlagOption removePoorAttsOption
```
    - splitConfidenceOption
```
FloatOption splitConfidenceOption
```
    - splitCount
```
int splitCount
```
    - splitCriterionOption
```
ClassOption splitCriterionOption
```
    - stopMemManagementOption
```
FlagOption stopMemManagementOption
```
    - tieThresholdOption
```
FloatOption tieThresholdOption
```
    - treeRoot
```
EFDT.Node treeRoot
```
- Class moa.classifiers.trees.EFDT.ActiveLearningNode extends EFDT.LearningNode implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - attributeObservers
```
AutoExpandVector<T> attributeObservers
```
    - isInitialized
```
boolean isInitialized
```
    - weightSeenAtLastSplitEvaluation
```
double weightSeenAtLastSplitEvaluation
```
- Class moa.classifiers.trees.EFDT.EFDTLearningNode extends EFDT.LearningNodeNBAdaptive implements Serializable
  
  serialVersionUID:
  
  -2525042202040084035L
  - Serialized Fields
    - isRoot
```
boolean isRoot
```
    - parent
```
EFDT.EFDTSplitNode parent
```
- Class moa.classifiers.trees.EFDT.EFDTSplitNode extends EFDT.SplitNode implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - attributeObservers
```
AutoExpandVector<T> attributeObservers
```
    - isRoot
```
boolean isRoot
```
    - parent
```
EFDT.EFDTSplitNode parent
```
- Class moa.classifiers.trees.EFDT.InactiveLearningNode extends EFDT.LearningNode implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.trees.EFDT.LearningNode extends EFDT.Node implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.trees.EFDT.LearningNodeNB extends EFDT.ActiveLearningNode implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.trees.EFDT.LearningNodeNBAdaptive extends EFDT.LearningNodeNB implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - mcCorrectWeight
```
double mcCorrectWeight
```
    - nbCorrectWeight
```
double nbCorrectWeight
```
- Class moa.classifiers.trees.EFDT.Node extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - classDistributionAtTimeOfCreation
```
DoubleVector classDistributionAtTimeOfCreation
```
    - infogainSum
```
java.util.HashMap<K extends java.lang.Object,V extends java.lang.Object> infogainSum
```
    - nodeTime
```
int nodeTime
```
    - numSplitAttempts
```
int numSplitAttempts
```
    - observedClassDistribution
```
DoubleVector observedClassDistribution
```
    - usedNominalAttributes
```
java.util.List<E extends java.lang.Object> usedNominalAttributes
```
- Class moa.classifiers.trees.EFDT.SplitNode extends EFDT.Node implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - children
```
AutoExpandVector<T> children
```
    - splitTest
```
InstanceConditionalTest splitTest
```
- Class moa.classifiers.trees.FIMTDD extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - alternateTreeFadingFactorOption
```
FloatOption alternateTreeFadingFactorOption
```
    - alternateTreeTimeOption
```
IntOption alternateTreeTimeOption
```
    - alternateTreeTMinOption
```
IntOption alternateTreeTMinOption
```
    - examplesSeen
```
double examplesSeen
```
    - gracePeriodOption
```
IntOption gracePeriodOption
```
    - leafNodeCount
```
int leafNodeCount
```
    - learningRateDecayFactorOption
```
FloatOption learningRateDecayFactorOption
```
    - learningRatioConstOption
```
FlagOption learningRatioConstOption
```
    - learningRatioOption
```
FloatOption learningRatioOption
```
    - maxID
```
int maxID
```
    - PageHinckleyAlphaOption
```
FloatOption PageHinckleyAlphaOption
```
    - PageHinckleyThresholdOption
```
IntOption PageHinckleyThresholdOption
```
    - regressionTreeOption
```
FlagOption regressionTreeOption
```
    - splitConfidenceOption
```
FloatOption splitConfidenceOption
```
    - splitCriterionOption
```
ClassOption splitCriterionOption
```
    - splitNodeCount
```
int splitNodeCount
```
    - sumOfAttrSquares
```
DoubleVector sumOfAttrSquares
```
    - sumOfAttrValues
```
DoubleVector sumOfAttrValues
```
    - sumOfSquares
```
double sumOfSquares
```
    - sumOfValues
```
double sumOfValues
```
    - tieThresholdOption
```
FloatOption tieThresholdOption
```
    - treeRoot
```
FIMTDD.Node treeRoot
```
- Class moa.classifiers.trees.FIMTDD.FIMTDDPerceptron extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - instancesSeen
```
double instancesSeen
```
    - reset
```
boolean reset
```
    - sumOfSquares
```
double sumOfSquares
```
    - sumOfValues
```
double sumOfValues
```
    - tree
```
FIMTDD tree
```
    - weightAttribute
```
DoubleVector weightAttribute
```
- Class moa.classifiers.trees.FIMTDD.InnerNode extends FIMTDD.Node implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - children
```
AutoExpandVector<T> children
```
    - lossExamplesSeen
```
double lossExamplesSeen
```
    - lossFadedSumAlternate
```
double lossFadedSumAlternate
```
    - lossFadedSumOriginal
```
double lossFadedSumOriginal
```
    - lossNumQiTests
```
double lossNumQiTests
```
    - lossSumQi
```
double lossSumQi
```
    - PHmin
```
double PHmin
```
    - PHsum
```
double PHsum
```
    - previousWeight
```
double previousWeight
```
- Class moa.classifiers.trees.FIMTDD.LeafNode extends FIMTDD.Node implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - attributeObservers
```
AutoExpandVector<T> attributeObservers
```
    - examplesSeenAtLastSplitEvaluation
```
double examplesSeenAtLastSplitEvaluation
```
    - learningModel
```
FIMTDD.FIMTDDPerceptron learningModel
```
- Class moa.classifiers.trees.FIMTDD.Node extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - alternateTree
```
FIMTDD.Node alternateTree
```
    - changeDetection
```
boolean changeDetection
```
    - examplesSeen
```
double examplesSeen
```
    - ID
```
int ID
```
    - originalNode
```
FIMTDD.Node originalNode
```
    - parent
```
FIMTDD.Node parent
```
    - sumOfAbsErrors
```
double sumOfAbsErrors
```
    - sumOfSquares
```
double sumOfSquares
```
    - sumOfValues
```
double sumOfValues
```
    - tree
```
FIMTDD tree
```
- Class moa.classifiers.trees.FIMTDD.SplitNode extends FIMTDD.InnerNode implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - splitTest
```
InstanceConditionalTest splitTest
```
- Class moa.classifiers.trees.HoeffdingAdaptiveTree extends HoeffdingTree implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - alternateTrees
```
int alternateTrees
```
    - prunedAlternateTrees
```
int prunedAlternateTrees
```
    - switchedAlternateTrees
```
int switchedAlternateTrees
```
- Class moa.classifiers.trees.HoeffdingAdaptiveTree.AdaLearningNode extends HoeffdingTree.LearningNodeNBAdaptive implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - classifierRandom
```
java.util.Random classifierRandom
```
    - ErrorChange
```
boolean ErrorChange
```
    - estimationErrorWeight
```
ADWIN estimationErrorWeight
```
    - randomSeed
```
int randomSeed
```
- Class moa.classifiers.trees.HoeffdingAdaptiveTree.AdaSplitNode extends HoeffdingTree.SplitNode implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - alternateTree
```
HoeffdingTree.Node alternateTree
```
    - classifierRandom
```
java.util.Random classifierRandom
```
    - ErrorChange
```
boolean ErrorChange
```
    - estimationErrorWeight
```
ADWIN estimationErrorWeight
```
    - randomSeed
```
int randomSeed
```
- Class moa.classifiers.trees.HoeffdingAdaptiveTreeClassifLeaves extends HoeffdingAdaptiveTree implements Serializable
  - Serialized Fields
    - leaveLearnerOption
```
ClassOption leaveLearnerOption
```
- Class moa.classifiers.trees.HoeffdingAdaptiveTreeClassifLeaves.LearningNodeHATClassifier extends HoeffdingAdaptiveTree.AdaLearningNode implements Serializable
  - Serialized Fields
    - classifier
```
Classifier classifier
```
- Class moa.classifiers.trees.HoeffdingOptionTree extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - activeLeafByteSizeEstimate
```
double activeLeafByteSizeEstimate
```
    - activeLeafNodeCount
```
int activeLeafNodeCount
```
    - binarySplitsOption
```
FlagOption binarySplitsOption
```
    - byteSizeEstimateOverheadFraction
```
double byteSizeEstimateOverheadFraction
```
    - decisionNodeCount
```
int decisionNodeCount
```
    - dumpFileOption
```
FileOption dumpFileOption
```
    - gracePeriodOption
```
IntOption gracePeriodOption
```
    - inactiveLeafByteSizeEstimate
```
double inactiveLeafByteSizeEstimate
```
    - inactiveLeafNodeCount
```
int inactiveLeafNodeCount
```
    - leafpredictionOption
```
MultiChoiceOption leafpredictionOption
```
    - maxByteSizeOption
```
IntOption maxByteSizeOption
```
    - maxOptionPathsOption
```
IntOption maxOptionPathsOption
```
    - maxPredictionPaths
```
int maxPredictionPaths
```
    - memoryEstimatePeriodOption
```
IntOption memoryEstimatePeriodOption
```
    - memoryStrategyOption
```
IntOption memoryStrategyOption
```
    - nbThresholdOption
```
IntOption nbThresholdOption
```
    - nominalEstimatorOption
```
ClassOption nominalEstimatorOption
```
    - noPrePruneOption
```
FlagOption noPrePruneOption
```
    - numericEstimatorOption
```
ClassOption numericEstimatorOption
```
    - removePoorAttsOption
```
FlagOption removePoorAttsOption
```
    - secondarySplitConfidenceOption
```
FloatOption secondarySplitConfidenceOption
```
    - splitConfidenceOption
```
FloatOption splitConfidenceOption
```
    - splitCriterionOption
```
ClassOption splitCriterionOption
```
    - tieThresholdOption
```
FloatOption tieThresholdOption
```
    - treeRoot
```
HoeffdingOptionTree.Node treeRoot
```
- Class moa.classifiers.trees.HoeffdingOptionTree.ActiveLearningNode extends HoeffdingOptionTree.LearningNode implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - attributeObservers
```
AutoExpandVector<T> attributeObservers
```
    - weightSeenAtLastSplitEvaluation
```
double weightSeenAtLastSplitEvaluation
```
- Class moa.classifiers.trees.HoeffdingOptionTree.InactiveLearningNode extends HoeffdingOptionTree.LearningNode implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.trees.HoeffdingOptionTree.LearningNode extends HoeffdingOptionTree.Node implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.trees.HoeffdingOptionTree.LearningNodeNB extends HoeffdingOptionTree.ActiveLearningNode implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.trees.HoeffdingOptionTree.LearningNodeNBAdaptive extends HoeffdingOptionTree.LearningNodeNB implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - mcCorrectWeight
```
double mcCorrectWeight
```
    - nbCorrectWeight
```
double nbCorrectWeight
```
- Class moa.classifiers.trees.HoeffdingOptionTree.Node extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - observedClassDistribution
```
DoubleVector observedClassDistribution
```
- Class moa.classifiers.trees.HoeffdingOptionTree.SplitNode extends HoeffdingOptionTree.Node implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - children
```
AutoExpandVector<T> children
```
    - nextOption
```
HoeffdingOptionTree.Node nextOption
```
    - optionCount
```
int optionCount
```
    - parent
```
HoeffdingOptionTree.SplitNode parent
```
    - splitTest
```
InstanceConditionalTest splitTest
```
- Class moa.classifiers.trees.HoeffdingTree extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - activeLeafByteSizeEstimate
```
double activeLeafByteSizeEstimate
```
    - activeLeafNodeCount
```
int activeLeafNodeCount
```
    - binarySplitsOption
```
FlagOption binarySplitsOption
```
    - byteSizeEstimateOverheadFraction
```
double byteSizeEstimateOverheadFraction
```
    - decisionNodeCount
```
int decisionNodeCount
```
    - gracePeriodOption
```
IntOption gracePeriodOption
```
    - growthAllowed
```
boolean growthAllowed
```
    - inactiveLeafByteSizeEstimate
```
double inactiveLeafByteSizeEstimate
```
    - inactiveLeafNodeCount
```
int inactiveLeafNodeCount
```
    - leafpredictionOption
```
MultiChoiceOption leafpredictionOption
```
    - maxByteSizeOption
```
IntOption maxByteSizeOption
```
    - memoryEstimatePeriodOption
```
IntOption memoryEstimatePeriodOption
```
    - nbThresholdOption
```
IntOption nbThresholdOption
```
    - nominalEstimatorOption
```
ClassOption nominalEstimatorOption
```
    - noPrePruneOption
```
FlagOption noPrePruneOption
```
    - numericEstimatorOption
```
ClassOption numericEstimatorOption
```
    - removePoorAttsOption
```
FlagOption removePoorAttsOption
```
    - splitConfidenceOption
```
FloatOption splitConfidenceOption
```
    - splitCriterionOption
```
ClassOption splitCriterionOption
```
    - stopMemManagementOption
```
FlagOption stopMemManagementOption
```
    - tieThresholdOption
```
FloatOption tieThresholdOption
```
    - treeRoot
```
HoeffdingTree.Node treeRoot
```
- Class moa.classifiers.trees.HoeffdingTree.ActiveLearningNode extends HoeffdingTree.LearningNode implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - attributeObservers
```
AutoExpandVector<T> attributeObservers
```
    - isInitialized
```
boolean isInitialized
```
    - weightSeenAtLastSplitEvaluation
```
double weightSeenAtLastSplitEvaluation
```
- Class moa.classifiers.trees.HoeffdingTree.InactiveLearningNode extends HoeffdingTree.LearningNode implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.trees.HoeffdingTree.LearningNode extends HoeffdingTree.Node implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.trees.HoeffdingTree.LearningNodeNB extends HoeffdingTree.ActiveLearningNode implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.trees.HoeffdingTree.LearningNodeNBAdaptive extends HoeffdingTree.LearningNodeNB implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - mcCorrectWeight
```
double mcCorrectWeight
```
    - nbCorrectWeight
```
double nbCorrectWeight
```
- Class moa.classifiers.trees.HoeffdingTree.Node extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - observedClassDistribution
```
DoubleVector observedClassDistribution
```
- Class moa.classifiers.trees.HoeffdingTree.SplitNode extends HoeffdingTree.Node implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - children
```
AutoExpandVector<T> children
```
    - splitTest
```
InstanceConditionalTest splitTest
```
- Class moa.classifiers.trees.HoeffdingTreeClassifLeaves extends HoeffdingTree implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learnerOption
```
ClassOption learnerOption
```
- Class moa.classifiers.trees.HoeffdingTreeClassifLeaves.LearningNodeClassifier extends HoeffdingTree.ActiveLearningNode implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - classifier
```
Classifier classifier
```
- Class moa.classifiers.trees.LimAttHoeffdingTree extends HoeffdingTree implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - listAttributes
```
int[] listAttributes
```
- Class moa.classifiers.trees.LimAttHoeffdingTree.LearningNodeNB extends LimAttHoeffdingTree.LimAttLearningNode implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.trees.LimAttHoeffdingTree.LearningNodeNBAdaptive extends LimAttHoeffdingTree.LearningNodeNB implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - mcCorrectWeight
```
double mcCorrectWeight
```
    - nbCorrectWeight
```
double nbCorrectWeight
```
- Class moa.classifiers.trees.LimAttHoeffdingTree.LimAttLearningNode extends HoeffdingTree.ActiveLearningNode implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - listAttributes
```
int[] listAttributes
```
    - numAttributes
```
int numAttributes
```
    - weightSeenAtLastSplitEvaluation
```
double weightSeenAtLastSplitEvaluation
```
- Class moa.classifiers.trees.ORTO extends FIMTDD implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - innerNodeCount
```
int innerNodeCount
```
    - maxOptionLevelOption
```
IntOption maxOptionLevelOption
```
    - maxTreesOption
```
IntOption maxTreesOption
```
    - numTrees
```
int numTrees
```
    - optionDecayFactorOption
```
FloatOption optionDecayFactorOption
```
    - optionFadingFactorOption
```
FloatOption optionFadingFactorOption
```
    - optionNodeAggregationOption
```
MultiChoiceOption optionNodeAggregationOption
```
    - optionNodeCount
```
int optionNodeCount
```
- Class moa.classifiers.trees.ORTO.OptionNode extends FIMTDD.InnerNode implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - optionFFSeen
```
double[] optionFFSeen
```
    - optionFFSSL
```
double[] optionFFSSL
```
- Class moa.classifiers.trees.RandomHoeffdingTree extends HoeffdingTree implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.trees.RandomHoeffdingTree.LearningNodeNB extends RandomHoeffdingTree.RandomLearningNode implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.trees.RandomHoeffdingTree.LearningNodeNBAdaptive extends RandomHoeffdingTree.LearningNodeNB implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - mcCorrectWeight
```
double mcCorrectWeight
```
    - nbCorrectWeight
```
double nbCorrectWeight
```
- Class moa.classifiers.trees.RandomHoeffdingTree.RandomLearningNode extends HoeffdingTree.ActiveLearningNode implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - listAttributes
```
int[] listAttributes
```
    - numAttributes
```
int numAttributes
```
Package moa.classifiers.trees.iadem
- Class moa.classifiers.trees.iadem.Iadem2 extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - attributeDiferentiation
```
FloatOption attributeDiferentiation
```
    - driftDetectionMethodOption
```
ClassOption driftDetectionMethodOption
```
    - estimator
```
AbstractChangeDetector estimator
```
    - gracePeriodOption
```
IntOption gracePeriodOption
```
    - leafPredictionOption
```
MultiChoiceOption leafPredictionOption
```
    - naiveBayesLimit
```
int naiveBayesLimit
```
    - numberOfInstancesProcessed
```
int numberOfInstancesProcessed
```
    - numberOfLeaves
```
int numberOfLeaves
```
    - numberOfNodes
```
int numberOfNodes
```
    - numericEstimatorOption
```
ClassOption numericEstimatorOption
```
    - percentInCommon
```
double percentInCommon
```
    - splitConfidenceOption
```
FloatOption splitConfidenceOption
```
    - splitCriterionOption
```
MultiChoiceOption splitCriterionOption
```
    - splitTestsOption
```
MultiChoiceOption splitTestsOption
```
    - treeRoot
```
Iadem2.Node treeRoot
```
- Class moa.classifiers.trees.iadem.Iadem2.LeafNode extends Iadem2.Node implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - allAttUsed
```
boolean allAttUsed
```
    - instNodeCountSinceReal
```
long instNodeCountSinceReal
```
    - instNodeCountSinceVirtual
```
long instNodeCountSinceVirtual
```
    - instSeenSinceLastSplitAttempt
```
double instSeenSinceLastSplitAttempt
```
    - instTreeCountSinceReal
```
long instTreeCountSinceReal
```
    - split
```
boolean split
```
    - virtualChildren
```
AutoExpandVector<T> virtualChildren
```
- Class moa.classifiers.trees.iadem.Iadem2.LeafNodeNB extends Iadem2.LeafNode implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - naiveBayesLimit
```
int naiveBayesLimit
```
- Class moa.classifiers.trees.iadem.Iadem2.LeafNodeNBKirkby extends Iadem2.LeafNodeNB implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - majorityClassError
```
int majorityClassError
```
    - naiveBayesError
```
int naiveBayesError
```
- Class moa.classifiers.trees.iadem.Iadem2.LeafNodeWeightedVote extends Iadem2.LeafNodeNB implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - majorityClassError
```
AbstractChangeDetector majorityClassError
```
    - naiveBayesError
```
AbstractChangeDetector naiveBayesError
```
- Class moa.classifiers.trees.iadem.Iadem2.Node extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - classValueDist
```
DoubleVector classValueDist
```
    - parent
```
Iadem2.Node parent
```
    - tree
```
Iadem2 tree
```
- Class moa.classifiers.trees.iadem.Iadem2.NominalVirtualNode extends Iadem2.VirtualNode implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - attValueDist
```
DoubleVector attValueDist
```
    - nominalAttClassObserver
```
AutoExpandVector<T> nominalAttClassObserver
```
    - onlyBinaryTest
```
boolean onlyBinaryTest
```
    - onlyMultiwayTest
```
boolean onlyMultiwayTest
```
- Class moa.classifiers.trees.iadem.Iadem2.NumericVirtualNode extends Iadem2.VirtualNode implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - bestCutPoint
```
double bestCutPoint
```
    - numericAttClassObserver
```
IademNumericAttributeObserver numericAttClassObserver
```
- Class moa.classifiers.trees.iadem.Iadem2.SplitNode extends Iadem2.Node implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - children
```
AutoExpandVector<T> children
```
    - splitTest
```
InstanceConditionalTest splitTest
```
- Class moa.classifiers.trees.iadem.Iadem2.VirtualNode extends Iadem2.Node implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - attIndex
```
int attIndex
```
    - bestSplitSuggestion
```
IademAttributeSplitSuggestion bestSplitSuggestion
```
    - heuristicMeasureUpdated
```
boolean heuristicMeasureUpdated
```
- Class moa.classifiers.trees.iadem.Iadem3 extends Iadem2 implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - currentSplitState
```
int currentSplitState
```
    - deletedTrees
```
int deletedTrees
```
    - interchangedTrees
```
int interchangedTrees
```
    - lastPrediction
```
int lastPrediction
```
    - lastPredictionInLeaf
```
int lastPredictionInLeaf
```
    - maxNestingLevelOption
```
IntOption maxNestingLevelOption
```
    - maxSubtreesPerNodeOption
```
IntOption maxSubtreesPerNodeOption
```
    - numSplitsByBreakingTies
```
int numSplitsByBreakingTies
```
    - numTrees
```
int numTrees
```
    - restartAtDrift
```
boolean restartAtDrift
```
    - SPLIT_BY_TIE_BREAKING
```
int SPLIT_BY_TIE_BREAKING
```
    - SPLIT_WITH_CONFIDENCE
```
int SPLIT_WITH_CONFIDENCE
```
    - subtreeList
```
AutoExpandVector<T> subtreeList
```
    - treeLevel
```
int treeLevel
```
- Class moa.classifiers.trees.iadem.Iadem3.AdaptiveLeafNode extends Iadem2.LeafNode implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - estimator
```
AbstractChangeDetector estimator
```
- Class moa.classifiers.trees.iadem.Iadem3.AdaptiveLeafNodeNB extends Iadem3.AdaptiveLeafNode implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - limitNaiveBayes
```
int limitNaiveBayes
```
- Class moa.classifiers.trees.iadem.Iadem3.AdaptiveLeafNodeNBAdaptive extends Iadem3.AdaptiveLeafNodeNB implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - majorityClassError
```
AbstractChangeDetector majorityClassError
```
    - naiveBayesError
```
AbstractChangeDetector naiveBayesError
```
- Class moa.classifiers.trees.iadem.Iadem3.AdaptiveLeafNodeNBKirkby extends Iadem3.AdaptiveLeafNodeNB implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - majorityClassError
```
int majorityClassError
```
    - naiveBayesError
```
int naiveBayesError
```
- Class moa.classifiers.trees.iadem.Iadem3.AdaptiveLeafNodeWeightedVote extends Iadem3.AdaptiveLeafNodeNBAdaptive implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.trees.iadem.Iadem3.AdaptiveNominalVirtualNode extends Iadem2.NominalVirtualNode implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - estimador
```
AbstractChangeDetector estimador
```
- Class moa.classifiers.trees.iadem.Iadem3.AdaptiveNumericVirtualNode extends Iadem2.NumericVirtualNode implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - altAttClassObserver
```
IademNumericAttributeObserver altAttClassObserver
```
    - altClassDist
```
DoubleVector altClassDist
```
    - estimator
```
AbstractChangeDetector estimator
```
- Class moa.classifiers.trees.iadem.Iadem3.AdaptiveSplitNode extends Iadem2.SplitNode implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - alternativeTree
```
AutoExpandVector<T> alternativeTree
```
    - causeOfSplit
```
int causeOfSplit
```
    - estimator
```
AbstractChangeDetector estimator
```
    - leaf
```
Iadem3.AdaptiveLeafNode leaf
```
- Class moa.classifiers.trees.iadem.Iadem3Subtree extends Iadem3 implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - errorEstimator
```
AbstractChangeDetector errorEstimator
```
    - mainTree
```
Iadem3 mainTree
```
    - nodo
```
Iadem2.Node nodo
```
- Class moa.classifiers.trees.iadem.IademAttributeSplitSuggestion extends AttributeSplitSuggestion implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - meritLowerBound
```
double meritLowerBound
```
- Class moa.classifiers.trees.iadem.IademCommonProcedures extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.trees.iadem.IademException extends java.lang.Exception implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - myClass
```
java.lang.String myClass
```
    - myExplanation
```
java.lang.String myExplanation
```
    - myMethod
```
java.lang.String myMethod
```
- Class moa.classifiers.trees.iadem.IademGaussianNumericAttributeClassObserver extends GaussianNumericAttributeClassObserver implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - classDist
```
DoubleVector classDist
```
    - valueCount
```
int valueCount
```
- Class moa.classifiers.trees.iadem.IademGreenwaldKhannaNumericAttributeClassObserver extends GreenwaldKhannaNumericAttributeClassObserver implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.trees.iadem.IademGreenwaldKhannaQuantileSummary extends GreenwaldKhannaQuantileSummary implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.trees.iadem.IademNominalAttributeBinaryTest extends NominalAttributeBinaryTest implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.trees.iadem.IademNominalAttributeMultiwayTest extends NominalAttributeMultiwayTest implements Serializable
  - Serialized Fields
    - maxBranches
```
int maxBranches
```
- Class moa.classifiers.trees.iadem.IademNumericAttributeBinaryTest extends NumericAttributeBinaryTest implements Serializable
- Class moa.classifiers.trees.iadem.IademSplitCriterion extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - splitMeasure
```
int splitMeasure
```
- Class moa.classifiers.trees.iadem.IademVFMLNumericAttributeClassObserver extends VFMLNumericAttributeClassObserver implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - binList
```
java.util.List<E extends java.lang.Object> binList
```
    - classDist
```
DoubleVector classDist
```
- Class moa.classifiers.trees.iadem.IademVFMLNumericAttributeClassObserver.Bin extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - boundaryClass
```
int boundaryClass
```
    - boundaryWeight
```
double boundaryWeight
```
    - classWeights
```
DoubleVector classWeights
```
    - lowerBound
```
double lowerBound
```
    - upperBound
```
double upperBound
```
Package moa.cluster
- Class moa.cluster.CFCluster extends SphereCluster implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - LS
```
double[] LS
```
      Linear sum of all the points added to the cluster.
    - N
```
double N
```
      Number of points in the cluster.
    - radiusFactor
```
double radiusFactor
```
    - SS
```
double[] SS
```
      Squared sum of all the points added to the cluster.
- Class moa.cluster.Cluster extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - gtLabel
```
double gtLabel
```
    - id
```
double id
```
    - measure_values
```
java.util.HashMap<K extends java.lang.Object,V extends java.lang.Object> measure_values
```
- Class moa.cluster.Clustering extends AbstractMOAObject implements Serializable
  - Serialized Fields
    - clusters
```
AutoExpandVector<T> clusters
```
- Class moa.cluster.SphereCluster extends Cluster implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - center
```
double[] center
```
    - radius
```
double radius
```
    - weight
```
double weight
```
Package moa.clusterers
- Class moa.clusterers.AbstractClusterer extends AbstractOptionHandler implements Serializable
  - Serialized Fields
    - clustererRandom
```
java.util.Random clustererRandom
```
    - clustering
```
Clustering clustering
```
    - evaluateMicroClusteringOption
```
FlagOption evaluateMicroClusteringOption
```
    - modelContext
```
InstancesHeader modelContext
```
    - randomSeed
```
int randomSeed
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - trainingWeightSeenByModel
```
double trainingWeightSeenByModel
```
- Class moa.clusterers.ClusterGenerator extends AbstractClusterer implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - clusterAddOption
```
FloatOption clusterAddOption
```
    - clusterRemoveOption
```
FloatOption clusterRemoveOption
```
    - instanceCounter
```
int instanceCounter
```
    - joinClustersOption
```
FloatOption joinClustersOption
```
    - points
```
java.util.ArrayList<E extends java.lang.Object> points
```
    - positionOffsetOption
```
FloatOption positionOffsetOption
```
    - radiusDecreaseOption
```
FloatOption radiusDecreaseOption
```
    - radiusIncreaseOption
```
FloatOption radiusIncreaseOption
```
    - random
```
java.util.Random random
```
    - sourceClustering
```
Clustering sourceClustering
```
    - timeWindowOption
```
IntOption timeWindowOption
```
    - windowCounter
```
int windowCounter
```
- Class moa.clusterers.CobWeb extends AbstractClusterer implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - acuityOption
```
FloatOption acuityOption
```
    - cutoffOption
```
FloatOption cutoffOption
```
    - m_acuity
```
double m_acuity
```
      Acuity (minimum standard deviation).
    - m_cobwebTree
```
moa.clusterers.CobWeb.CNode m_cobwebTree
```
      Holds the root of the Cobweb tree.
    - m_cutoff
```
double m_cutoff
```
      Cutoff (minimum category utility).
    - m_numberMerges
```
int m_numberMerges
```
      the number of merges that happened
    - m_numberOfClusters
```
int m_numberOfClusters
```
      Number of clusters (nodes in the tree). Must never be queried directly, only via the method numberOfClusters(). Otherwise it's not guaranteed that it contains the correct value.
      
      See Also:
      
      CobWeb.numberOfClusters(), CobWeb.m_numberOfClustersDetermined
    - m_numberOfClustersDetermined
```
boolean m_numberOfClustersDetermined
```
      whether the number of clusters was already determined
    - m_numberSplits
```
int m_numberSplits
```
      the number of splits that happened
    - m_saveInstances
```
boolean m_saveInstances
```
      Output instances in graph representation of Cobweb tree (Allows instances at nodes in the tree to be visualized in the Explorer).
    - randomSeedOption
```
IntOption randomSeedOption
```
- Class moa.clusterers.WekaClusteringAlgorithm extends AbstractClusterer implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - clusterer
```
weka.clusterers.AbstractClusterer clusterer
```
    - clustererClasses
```
java.lang.Class<T extends java.lang.Object>[] clustererClasses
```
    - horizonOption
```
IntOption horizonOption
```
    - instanceConverter
```
SamoaToWekaInstanceConverter instanceConverter
```
    - instances
```
Instances instances
```
    - parameterOption
```
StringOption parameterOption
```
    - wekaAlgorithmOption
```
MultiChoiceOption wekaAlgorithmOption
```
Package moa.clusterers.clustream
- Class moa.clusterers.clustream.Clustream extends AbstractClusterer implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - buffer
```
java.util.List<E extends java.lang.Object> buffer
```
    - bufferSize
```
int bufferSize
```
    - initialized
```
boolean initialized
```
    - kernelRadiFactorOption
```
IntOption kernelRadiFactorOption
```
    - kernels
```
ClustreamKernel[] kernels
```
    - m
```
int m
```
    - maxNumKernelsOption
```
IntOption maxNumKernelsOption
```
    - t
```
double t
```
    - timestamp
```
long timestamp
```
    - timeWindow
```
int timeWindow
```
    - timeWindowOption
```
IntOption timeWindowOption
```
- Class moa.clusterers.clustream.ClustreamKernel extends CFCluster implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - LST
```
double LST
```
    - m
```
int m
```
    - SST
```
double SST
```
    - t
```
double t
```
- Class moa.clusterers.clustream.WithKmeans extends AbstractClusterer implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - buffer
```
java.util.List<E extends java.lang.Object> buffer
```
    - bufferSize
```
int bufferSize
```
    - initialized
```
boolean initialized
```
    - kernelRadiFactorOption
```
IntOption kernelRadiFactorOption
```
    - kernels
```
ClustreamKernel[] kernels
```
    - kOption
```
IntOption kOption
```
    - m
```
int m
```
    - maxNumKernelsOption
```
IntOption maxNumKernelsOption
```
    - t
```
double t
```
    - timestamp
```
long timestamp
```
    - timeWindow
```
int timeWindow
```
    - timeWindowOption
```
IntOption timeWindowOption
```
Package moa.clusterers.clustree
- Class moa.clusterers.clustree.ClusKernel extends CFCluster implements Serializable
  - Serialized Fields
    - totalN
```
double totalN
```
      Counting of the number of N as normal N is weighted by how much time passes between updates. If weighted N is under a threshhold, we may consider the cluster irrelevant and we can delete it.
- Class moa.clusterers.clustree.ClusTree extends AbstractClusterer implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - alsoUpdate
```
Entry alsoUpdate
```
    - breadthFirstStrat
```
boolean breadthFirstStrat
```
      Parameter to determine wich strategy to use
    - breadthFirstStrategyOption
```
FlagOption breadthFirstStrategyOption
```
    - height
```
int height
```
      The current height of the tree. Should always be smaller than maxHeight.
    - horizonOption
```
IntOption horizonOption
```
    - maxHeight
```
int maxHeight
```
      The maximal height of the tree.
    - maxHeightOption
```
IntOption maxHeightOption
```
    - negLambda
```
double negLambda
```
      Parameter for the weighting function use to weight the entries.
    - numberDimensions
```
int numberDimensions
```
      Dimensionality of the data points managed by this tree.
    - numberInsertions
```
int numberInsertions
```
      Number of points inserted into the tree.
    - numRootSplits
```
int numRootSplits
```
      This variable is used to keep the inverse height that is stored in every node correct.
    - root
```
Node root
```
      The root node of the tree.
    - timestamp
```
long timestamp
```
    - weightThreshold
```
double weightThreshold
```
      The threshold for the weighting of an Entry. An Entry is irrelevant, if it is in a leaf and the weightedN of the data Cluster is smaller than this threshold.
      
      See Also:
      
      Entry.data
- Class moa.clusterers.clustree.Entry extends java.lang.Object implements Serializable
  - Serialized Fields
    - buffer
```
ClusKernel buffer
```
      The buffer of this entry. It can also be seen as the buffer of the child node, it is here just to simplify the insertion recuersion.
    - child
```
Node child
```
      A reference to the next node in the tree. null if we are at a leaf, or this is an entry is part of a lying Node.
    - data
```
ClusKernel data
```
      The actual entry data.
    - node
```
Node node
```
      A reference to the Node, that contains this Entry
    - parentEntry
```
Entry parentEntry
```
      A reference to the Entry's parent Entry
    - timestamp
```
long timestamp
```
      Last time this entry was changed.
- Class moa.clusterers.clustree.Node extends java.lang.Object implements Serializable
  - Serialized Fields
    - entries
```
Entry[] entries
```
      The children of this node.
    - level
```
int level
```
      The depth at which this Node is in the tree.
    - NUMBER_ENTRIES
```
int NUMBER_ENTRIES
```
Package moa.clusterers.denstream
- Class moa.clusterers.denstream.MicroCluster extends CFCluster implements Serializable
  - Serialized Fields
    - creationTimestamp
```
long creationTimestamp
```
    - currentTimestamp
```
Timestamp currentTimestamp
```
    - lambda
```
double lambda
```
    - lastEditT
```
long lastEditT
```
- Class moa.clusterers.denstream.Timestamp extends AbstractMOAObject implements Serializable
  - Serialized Fields
    - timestamp
```
long timestamp
```
- Class moa.clusterers.denstream.WithDBSCAN extends AbstractClusterer implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - beta
```
double beta
```
    - betaOption
```
FloatOption betaOption
```
    - currentTimestamp
```
Timestamp currentTimestamp
```
    - epsilon
```
double epsilon
```
    - epsilonOption
```
FloatOption epsilonOption
```
    - horizonOption
```
IntOption horizonOption
```
    - initBuffer
```
java.util.ArrayList<E extends java.lang.Object> initBuffer
```
    - initialized
```
boolean initialized
```
    - initPointsOption
```
IntOption initPointsOption
```
    - lambda
```
double lambda
```
    - lambdaOption
```
FloatOption lambdaOption
```
    - minPoints
```
int minPoints
```
    - mu
```
double mu
```
    - muOption
```
FloatOption muOption
```
    - numInitPoints
```
int numInitPoints
```
    - numProcessedPerUnit
```
int numProcessedPerUnit
```
    - o_micro_cluster
```
Clustering o_micro_cluster
```
    - offlineOption
```
FloatOption offlineOption
```
    - p_micro_cluster
```
Clustering p_micro_cluster
```
    - processingSpeed
```
int processingSpeed
```
    - speedOption
```
IntOption speedOption
```
    - timestamp
```
long timestamp
```
    - tp
```
long tp
```
    - weightThreshold
```
double weightThreshold
```
Package moa.clusterers.dstream
- Class moa.clusterers.dstream.DensityGrid extends CFCluster implements Serializable
  
  serialVersionUID:
  
  7527683701564950206L
  - Serialized Fields
    - coordinates
```
int[] coordinates
```
      For each dimension, its space Si, i =1, ··· ,d is divided into pi partitions as Si = Si,1 U Si,2 U ··· U Si,pi A density grid g that is composed of S1,j1 ×S2,j2 ···×Sd,jd , ji =1, ...,pi, has coordinates (j1,j2, ··· ,jd).
    - dimensions
```
int dimensions
```
      The value of 'd' for the d-dimensional space S considered by D-Stream.
    - isVisited
```
boolean isVisited
```
      Flag denoting whether this density grid has been inspected during the adjustClustering() step of D-Stream.
- Class moa.clusterers.dstream.Dstream extends AbstractClusterer implements Serializable
  
  serialVersionUID:
  
  8759754409276716725L
  - Serialized Fields
    - beta
```
double beta
```
      User defined parameter: Adjusts the window of protection for renaming previously deleted grids as being sporadic
    - betaOption
```
FloatOption betaOption
```
    - cl
```
double cl
```
      User defined parameter: Controls the threshold for sparse grids
    - clOption
```
FloatOption clOption
```
    - cluster_list
```
java.util.ArrayList<E extends java.lang.Object> cluster_list
```
      A list of all Grid Clusters, which are defined in Definition 3.6 of Chen and Tu 2007
    - cm
```
double cm
```
      User defined parameter: Controls the threshold for dense grids
    - cmOption
```
FloatOption cmOption
```
    - currTime
```
int currTime
```
      The data stream's current internal time. Starts at 0.
    - d
```
int d
```
      The number of dimensions in the data stream; defined in section 3.1 of Chen and Tu 2007
    - decayFactor
```
double decayFactor
```
      User defined parameter, represented as lambda in Chen and Tu 2007
    - decayFactorOption
```
FloatOption decayFactorOption
```
    - deleted_grids
```
java.util.HashMap<K extends java.lang.Object,V extends java.lang.Object> deleted_grids
```
      A list of all density grids which have been deleted; allows the recording of tm - the last time when the grid is removed from grid list as a sporadic grid (if ever).
    - dl
```
double dl
```
      Density threshold for sparse grids; controlled by cl; given in eq 9 of Chen and Tu 2007
      
      See Also:
      
      Dstream.cl
    - dm
```
double dm
```
      Density threshold for dense grids; controlled by cm; given in eq 8 of Chen and Tu 2007
      
      See Also:
      
      Dstream.cm
    - gap
```
int gap
```
      User defined parameter: Time gap between calls to the offline component
    - grid_list
```
java.util.HashMap<K extends java.lang.Object,V extends java.lang.Object> grid_list
```
      A list of all density grids which are being monitored; given in figure 1 of Chen and Tu 2007
    - initialized
```
boolean initialized
```
      True if initialization of D-Stream is complete, false otherwise
    - maxVals
```
int[] maxVals
```
      The maximum value seen for a numerical dimension; used to calculate N
      
      See Also:
      
      Dstream.N
    - minVals
```
int[] minVals
```
      The minimum value seen for a numerical dimension; used to calculate N
      
      See Also:
      
      Dstream.N
    - N
```
int N
```
      The number of density grids; defined after eq 2 in Chen and Tu 2007
    - newClusterList
```
java.util.ArrayList<E extends java.lang.Object> newClusterList
```
      A list of grid clusters used when reclustering an existing cluster.
- Class moa.clusterers.dstream.GridCluster extends NonConvexCluster implements Serializable
  
  serialVersionUID:
  
  -6498733665209706370L
  - Serialized Fields
    - clusterLabel
```
int clusterLabel
```
    - grids
```
java.util.HashMap<K extends java.lang.Object,V extends java.lang.Object> grids
```
    - visited
```
java.util.HashMap<K extends java.lang.Object,V extends java.lang.Object> visited
```
Package moa.clusterers.kmeanspm
- Class moa.clusterers.kmeanspm.BICO extends AbstractClusterer implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - buffer
```
java.util.List<E extends java.lang.Object> buffer
```
    - bufferPhase
```
boolean bufferPhase
```
    - maxNumClusterFeatures
```
int maxNumClusterFeatures
```
    - maxNumClusterFeaturesOption
```
IntOption maxNumClusterFeaturesOption
```
    - minDistance
```
double minDistance
```
    - numClusters
```
int numClusters
```
    - numClustersOption
```
IntOption numClustersOption
```
    - numDimensions
```
int numDimensions
```
    - numDimensionsOption
```
IntOption numDimensionsOption
```
    - numProjections
```
int numProjections
```
    - numProjectionsOption
```
IntOption numProjectionsOption
```
    - pairwiseDifferent
```
int pairwiseDifferent
```
    - root
```
ClusteringTreeNode root
```
    - rootCount
```
int rootCount
```
    - T
```
double T
```
- Class moa.clusterers.kmeanspm.ClusteringFeature extends SphereCluster implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - numPoints
```
int numPoints
```
    - sumPoints
```
double[] sumPoints
```
    - sumSquaredLength
```
double sumSquaredLength
```
- Class moa.clusterers.kmeanspm.ClusteringTreeHeadNode extends ClusteringTreeNode implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - buckets
```
java.util.List<E extends java.lang.Object> buckets
```
    - numProjections
```
int numProjections
```
    - projections
```
java.util.List<E extends java.lang.Object> projections
```
- Class moa.clusterers.kmeanspm.ClusteringTreeNode extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - center
```
double[] center
```
    - children
```
java.util.List<E extends java.lang.Object> children
```
    - clusteringFeature
```
ClusteringFeature clusteringFeature
```
Package moa.clusterers.macro
- Class moa.clusterers.macro.NonConvexCluster extends CFCluster implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - mMicroClusters
```
java.util.List<E extends java.lang.Object> mMicroClusters
```

Package moa.clusterers.outliers

Class moa.clusterers.outliers.MyBaseOutlierDetector extends AbstractClusterer implements Serializable

Serialized Fields

_msNow
```
java.lang.Long _msNow
```
_msPrev
```
java.lang.Long _msPrev
```
bShowProgress
```
boolean bShowProgress
```
bStopAlgorithm
```
boolean bStopAlgorithm
```
bTrace
```
boolean bTrace
```
iMaxMemUsage
```
int iMaxMemUsage
```
m_timePreObjSum
```
java.lang.Long m_timePreObjSum
```
myClusters
```
Clustering myClusters
```
myOut
```
MyBaseOutlierDetector.PrintMsg myOut
```

myProgressInfo

MyBaseOutlierDetector.ProgressInfo myProgressInfo

nProcessed
```
int nProcessed
```
nRangeQueriesExecuted
```
int nRangeQueriesExecuted
```
nTimePerObj
```
double nTimePerObj
```
nTotalRunTime
```
java.lang.Long nTotalRunTime
```

outlierNotifier

MyBaseOutlierDetector.OutlierNotifier outlierNotifier

outliersFound

java.util.TreeSet<E extends java.lang.Object> outliersFound

random
```
java.util.Random random
```
windowSizeOption
```
IntOption windowSizeOption
```

Package moa.clusterers.outliers.AbstractC
- Class moa.clusterers.outliers.AbstractC.AbstractC extends AbstractCBase implements Serializable
  - Serialized Fields
    - kOption
```
IntOption kOption
```
    - radiusOption
```
FloatOption radiusOption
```
    - waitWinFullOption
```
FlagOption waitWinFullOption
```
- Class moa.clusterers.outliers.AbstractC.AbstractCBase extends MyBaseOutlierDetector implements Serializable
  - Serialized Fields
    - bWarning
```
boolean bWarning
```
    - ISB
```
ISBIndex ISB
```
    - m_Fraction
```
double m_Fraction
```
    - m_nBothInlierOutlier
```
int m_nBothInlierOutlier
```
    - m_nOnlyInlier
```
int m_nOnlyInlier
```
    - m_nOnlyOutlier
```
int m_nOnlyOutlier
```
    - m_radius
```
double m_radius
```
    - m_WindowSize
```
int m_WindowSize
```
    - objId
```
java.lang.Long objId
```
    - windowNodes
```
java.util.Vector<E extends java.lang.Object> windowNodes
```
Package moa.clusterers.outliers.Angiulli
- Class moa.clusterers.outliers.Angiulli.ApproxSTORM extends STORMBase implements Serializable
  - Serialized Fields
    - kOption
```
IntOption kOption
```
    - m_FractWindowSize
```
int m_FractWindowSize
```
    - m_Random
```
java.util.Random m_Random
```
    - pOption
```
FloatOption pOption
```
    - queryFreqOption
```
IntOption queryFreqOption
```
    - radiusOption
```
FloatOption radiusOption
```
    - safe_inliers
```
java.util.Set<E extends java.lang.Object> safe_inliers
```
- Class moa.clusterers.outliers.Angiulli.ExactSTORM extends STORMBase implements Serializable
  - Serialized Fields
    - kOption
```
IntOption kOption
```
    - queryFreqOption
```
IntOption queryFreqOption
```
    - radiusOption
```
FloatOption radiusOption
```
- Class moa.clusterers.outliers.Angiulli.STORMBase extends MyBaseOutlierDetector implements Serializable
  - Serialized Fields
    - ISB
```
ISBIndex ISB
```
    - m_k
```
int m_k
```
    - m_nBothInlierOutlier
```
int m_nBothInlierOutlier
```
    - m_nOnlyInlier
```
int m_nOnlyInlier
```
    - m_nOnlyOutlier
```
int m_nOnlyOutlier
```
    - m_QueryFreq
```
int m_QueryFreq
```
    - m_radius
```
double m_radius
```
    - m_WindowSize
```
int m_WindowSize
```
    - objId
```
java.lang.Long objId
```
    - waitWinFullOption
```
FlagOption waitWinFullOption
```
    - windowNodes
```
java.util.Vector<E extends java.lang.Object> windowNodes
```

Package moa.clusterers.outliers.AnyOut

Class moa.clusterers.outliers.AnyOut.AnyOut extends MyBaseOutlierDetector implements Serializable

serialVersionUID:

1L
- Serialized Fields
  - anyout
```
AnyOutCore anyout
```
  - falsePositive
```
int falsePositive
```
  - FIRST_OBJ_ID
```
int FIRST_OBJ_ID
```
  - idCounter
```
int idCounter
```
  - maxDepth
```
double maxDepth
```
  - minDepth
```
double minDepth
```
  - objects
```
java.util.ArrayList<E extends java.lang.Object> objects
```
  - outlierClass
```
int outlierClass
```
  - totalOutliers
```
int totalOutliers
```
  - trainingCount
```
int trainingCount
```
  - trainingSet
```
DataSet trainingSet
```
  - trainingSetSize
```
int trainingSetSize
```
  - truePositive
```
int truePositive
```
  - windowSize
```
int windowSize
```

Class moa.clusterers.outliers.AnyOut.AnyOutCore extends ClusTree implements Serializable

Serialized Fields

aggregatedOScoreResult

java.util.HashMap<K extends java.lang.Object,V extends java.lang.Object> aggregatedOScoreResult

confidenceChoiceOption
```
IntOption confidenceChoiceOption
```
confK
```
int confK
```
confKOption
```
IntOption confKOption
```

currentLevel

java.util.HashMap<K extends java.lang.Object,V extends java.lang.Object> currentLevel

descendToNode

java.util.HashMap<K extends java.lang.Object,V extends java.lang.Object> descendToNode

lastConfidenceResult

java.util.HashMap<K extends java.lang.Object,V extends java.lang.Object> lastConfidenceResult

lastOScoreResult

java.util.HashMap<K extends java.lang.Object,V extends java.lang.Object> lastOScoreResult

objectAsKernel

java.util.HashMap<K extends java.lang.Object,V extends java.lang.Object> objectAsKernel

oScoreK
```
int oScoreK
```
oScoreKOption
```
IntOption oScoreKOption
```

previousOScoreResultList

java.util.HashMap<K extends java.lang.Object,V extends java.lang.Object> previousOScoreResultList

threshholdOption
```
FloatOption threshholdOption
```
threshold
```
double threshold
```
trainingSetSizeOption
```
IntOption trainingSetSizeOption
```
UseMeanScoreOption
```
FlagOption UseMeanScoreOption
```
weightThreshold
```
double weightThreshold
```

Package moa.clusterers.outliers.MCOD

Class moa.clusterers.outliers.MCOD.MCOD extends MCODBase implements Serializable
- Serialized Fields
  - kOption
```
IntOption kOption
```
  - radiusOption
```
FloatOption radiusOption
```

Class moa.clusterers.outliers.MCOD.MCODBase extends MyBaseOutlierDetector implements Serializable

Serialized Fields

bWarning
```
boolean bWarning
```
eventQueue
```
MCODBase.EventQueue eventQueue
```
ISB_PD
```
ISBIndex ISB_PD
```
m_k
```
int m_k
```
m_nBothInlierOutlier
```
int m_nBothInlierOutlier
```
m_nOnlyInlier
```
int m_nOnlyInlier
```
m_nOnlyOutlier
```
int m_nOnlyOutlier
```
m_radius
```
double m_radius
```
m_theta
```
double m_theta
```
m_WindowSize
```
int m_WindowSize
```

mtreeMC

moa.clusterers.outliers.MCOD.MTreeMicroClusters mtreeMC

nodesReinsert

java.util.TreeSet<E extends java.lang.Object> nodesReinsert

objId
```
java.lang.Long objId
```

setMC

java.util.TreeSet<E extends java.lang.Object> setMC

windowNodes

java.util.Vector<E extends java.lang.Object> windowNodes

Package moa.clusterers.outliers.SimpleCOD
- Class moa.clusterers.outliers.SimpleCOD.SimpleCOD extends SimpleCODBase implements Serializable
  - Serialized Fields
    - kOption
```
IntOption kOption
```
    - radiusOption
```
FloatOption radiusOption
```
- Class moa.clusterers.outliers.SimpleCOD.SimpleCODBase extends MyBaseOutlierDetector implements Serializable
  - Serialized Fields
    - bWarning
```
boolean bWarning
```
    - eventQueue
```
SimpleCODBase.EventQueue eventQueue
```
    - ISB
```
ISBIndex ISB
```
    - m_k
```
int m_k
```
    - m_nBothInlierOutlier
```
int m_nBothInlierOutlier
```
    - m_nOnlyInlier
```
int m_nOnlyInlier
```
    - m_nOnlyOutlier
```
int m_nOnlyOutlier
```
    - m_radius
```
double m_radius
```
    - m_WindowSize
```
int m_WindowSize
```
    - objId
```
java.lang.Long objId
```
    - windowNodes
```
java.util.Vector<E extends java.lang.Object> windowNodes
```
Package moa.clusterers.streamkm
- Class moa.clusterers.streamkm.MTRandom extends java.util.Random implements Serializable
  
  serialVersionUID:
  
  -515082678588212038L
- Class moa.clusterers.streamkm.StreamKM extends AbstractClusterer implements Serializable
  - Serialized Fields
    - centresStreamingCoreset
```
Point[] centresStreamingCoreset
```
    - clustererRandom
```
MTRandom clustererRandom
```
    - coresetsize
```
int coresetsize
```
    - dimension
```
int dimension
```
    - evaluateOption
```
FlagOption evaluateOption
```
    - initialized
```
boolean initialized
```
    - length
```
int length
```
    - lengthOption
```
IntOption lengthOption
```
    - manager
```
BucketManager manager
```
    - numberInstances
```
int numberInstances
```
    - numberOfCentres
```
int numberOfCentres
```
    - numClustersOption
```
IntOption numClustersOption
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - sizeCoresetOption
```
IntOption sizeCoresetOption
```
Package moa.core
- Class moa.core.AutoExpandVector extends java.util.ArrayList<T> implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.core.DoubleVector extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - array
```
double[] array
```
- Class moa.core.FastVector extends java.util.ArrayList<E> implements Serializable
- Class moa.core.FixedLengthList extends java.util.ArrayList<E> implements Serializable
  
  serialVersionUID:
  
  5763493643390042080L
  - Serialized Fields
    - maxSize
```
int maxSize
```
      The fixed length of the FixedLengthList
- Class moa.core.GaussianEstimator extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - mean
```
double mean
```
    - varianceSum
```
double varianceSum
```
    - weightSum
```
double weightSum
```
- Class moa.core.GreenwaldKhannaQuantileSummary extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - numObservations
```
long numObservations
```
    - numTuples
```
int numTuples
```
    - summary
```
GreenwaldKhannaQuantileSummary.Tuple[] summary
```
- Class moa.core.GreenwaldKhannaQuantileSummary.Tuple extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - delta
```
long delta
```
    - g
```
long g
```
    - v
```
double v
```
- Class moa.core.Measurement extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - name
```
java.lang.String name
```
    - value
```
double value
```
- Class moa.core.MultilabelInstance extends InstanceImpl implements Serializable
  - Serialized Fields
    - L
```
int L
```
- Class moa.core.MultilabelInstancesHeader extends InstancesHeader implements Serializable
  - Serialized Fields
    - m_NumLabels
```
int m_NumLabels
```
Package moa.core.utils
- Class moa.core.utils.Converter extends AbstractMOAObject implements Serializable
  - Serialized Fields
    - m_InstancesTemplate
```
Instances m_InstancesTemplate
```
    - m_L
```
int m_L
```
Package moa.evaluation
- Class moa.evaluation.Accuracy extends MeasureCollection implements Serializable
  - Serialized Fields
    - debug
```
boolean debug
```
- Class moa.evaluation.AdwinClassificationPerformanceEvaluator extends BasicClassificationPerformanceEvaluator implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.evaluation.AdwinClassificationPerformanceEvaluator.AdwinEstimator extends java.lang.Object implements Serializable
  - Serialized Fields
    - adwin
```
ADWIN adwin
```
- Class moa.evaluation.ALMeasureCollection extends MeasureCollection implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.evaluation.ALWindowClassificationPerformanceEvaluator extends WindowClassificationPerformanceEvaluator implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - acquiredInstances
```
int acquiredInstances
```
    - acquisitionRateEstimator
```
BasicClassificationPerformanceEvaluator.Estimator acquisitionRateEstimator
```
- Class moa.evaluation.BasicAUCImbalancedPerformanceEvaluator extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - aucEstimator
```
BasicAUCImbalancedPerformanceEvaluator.Estimator aucEstimator
```
    - calculateAUC
```
FlagOption calculateAUC
```
    - numClasses
```
int numClasses
```
    - totalObservedInstances
```
double totalObservedInstances
```
    - weightMajorityClassifier
```
BasicAUCImbalancedPerformanceEvaluator.SimpleEstimator weightMajorityClassifier
```
- Class moa.evaluation.BasicClassificationPerformanceEvaluator extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - columnKappa
```
BasicClassificationPerformanceEvaluator.Estimator[] columnKappa
```
    - f1PerClassOption
```
FlagOption f1PerClassOption
```
    - lastSeenClass
```
int lastSeenClass
```
    - numClasses
```
int numClasses
```
    - precision
```
BasicClassificationPerformanceEvaluator.Estimator[] precision
```
    - precisionPerClassOption
```
FlagOption precisionPerClassOption
```
    - precisionRecallOutputOption
```
FlagOption precisionRecallOutputOption
```
    - recall
```
BasicClassificationPerformanceEvaluator.Estimator[] recall
```
    - recallPerClassOption
```
FlagOption recallPerClassOption
```
    - rowKappa
```
BasicClassificationPerformanceEvaluator.Estimator[] rowKappa
```
    - totalWeightObserved
```
double totalWeightObserved
```
    - weightCorrect
```
BasicClassificationPerformanceEvaluator.Estimator weightCorrect
```
    - weightCorrectNoChangeClassifier
```
BasicClassificationPerformanceEvaluator.Estimator weightCorrectNoChangeClassifier
```
    - weightMajorityClassifier
```
BasicClassificationPerformanceEvaluator.Estimator weightMajorityClassifier
```
- Class moa.evaluation.BasicClassificationPerformanceEvaluator.BasicEstimator extends java.lang.Object implements Serializable
  - Serialized Fields
    - len
```
double len
```
    - sum
```
double sum
```
- Class moa.evaluation.BasicConceptDriftPerformanceEvaluator extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - delay
```
double delay
```
    - errorPrediction
```
double errorPrediction
```
    - hasChangeOccurred
```
boolean hasChangeOccurred
```
    - inputValues
```
double inputValues
```
    - isWarningZone
```
boolean isWarningZone
```
    - numberChanges
```
double numberChanges
```
    - numberDetections
```
double numberDetections
```
    - numberDetectionsOccurred
```
double numberDetectionsOccurred
```
    - numberWarnings
```
double numberWarnings
```
    - totalDelay
```
double totalDelay
```
    - weightObserved
```
double weightObserved
```
- Class moa.evaluation.BasicMultiLabelPerformanceEvaluator extends AbstractMOAObject implements Serializable
  - Serialized Fields
    - L
```
int L
```
    - sumAccuracy
```
double sumAccuracy
```
      running sum of accuracy
    - sumAccuracy2
```
double sumAccuracy2
```
    - sumExamples
```
int sumExamples
```
      running number of examples
    - sumFmeasure
```
double sumFmeasure
```
    - sumHamming
```
double sumHamming
```
    - sumPrecision
```
double sumPrecision
```
    - sumRecall
```
double sumRecall
```
- Class moa.evaluation.BasicMultiTargetPerformanceEvaluator extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - averageError
```
double averageError
```
    - numberOutputs
```
int numberOutputs
```
    - squareError
```
double squareError
```
    - weightObserved
```
double weightObserved
```
- Class moa.evaluation.BasicMultiTargetPerformanceRelativeMeasuresEvaluator extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - averageError
```
double[] averageError
```
    - averageErrorToTargetMean
```
double[] averageErrorToTargetMean
```
    - numberOutputs
```
int numberOutputs
```
    - squareError
```
double[] squareError
```
    - squareErrorToTargetMean
```
double[] squareErrorToTargetMean
```
    - sumY
```
double[] sumY
```
    - weightObserved
```
double weightObserved
```
- Class moa.evaluation.BasicRegressionPerformanceEvaluator extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - averageError
```
double averageError
```
    - averageTargetError
```
double averageTargetError
```
    - squareError
```
double squareError
```
    - squareTargetError
```
double squareTargetError
```
    - sumTarget
```
double sumTarget
```
    - weightObserved
```
double weightObserved
```
- Class moa.evaluation.ChangeDetectionMeasures extends MeasureCollection implements Serializable
  - Serialized Fields
    - debug
```
boolean debug
```
- Class moa.evaluation.CMM extends MeasureCollection implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - clustering
```
Clustering clustering
```
      found clustering
    - debug
```
boolean debug
```
      enable/disable debug mode
    - enableClassMerge
```
boolean enableClassMerge
```
      enable/disable class merge (main feature of ground truth analysis)
    - enableModelError
```
boolean enableModelError
```
      enable/disable model error when enabled errors that are caused by the underling cluster model will not be counted
    - gtAnalysis
```
CMM_GTAnalysis gtAnalysis
```
      the ground truth analysis
    - lamdaMissed
```
double lamdaMissed
```
      parameterize the error weight of missed points (default 1)
    - matchMap
```
int[] matchMap
```
      match found clusters to GT clusters
    - numFClusters
```
int numFClusters
```
      number of clusters in the found clustering
    - numGT0Classes
```
int numGT0Classes
```
      number of cluster in the adjusted groundtruth clustering that was calculated through the groundtruth analysis
    - numPoints
```
int numPoints
```
      number of points within the horizon
    - pointInclusionProbFC
```
double[][] pointInclusionProbFC
```
      pointInclusionProbFC[p][C] contains the probability of point p being included in cluster C
    - pointInclusionProbThreshold
```
double pointInclusionProbThreshold
```
      threshold that defines when a point is being considered belonging to a cluster
- Class moa.evaluation.CMM_GTAnalysis.CMMPoint extends DataPoint implements Serializable
  - Serialized Fields
    - connectivity
```
double connectivity
```
      the connectivity of the point to its cluster
    - knnInCluster
```
double knnInCluster
```
      knn distnace within own cluster
    - knnIndices
```
java.util.ArrayList<E extends java.lang.Object> knnIndices
```
      knn indices (for debugging only)
    - p
```
DataPoint p
```
      Reference to original point
    - pID
```
int pID
```
      point ID
    - trueClass
```
int trueClass
```
      true class label
- Class moa.evaluation.EntropyCollection extends MeasureCollection implements Serializable
  - Serialized Fields
    - beta
```
double beta
```
    - debug
```
boolean debug
```
- Class moa.evaluation.EWMAClassificationPerformanceEvaluator extends BasicClassificationPerformanceEvaluator implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - alphaOption
```
FloatOption alphaOption
```
    - weightCorrect
```
BasicClassificationPerformanceEvaluator.Estimator weightCorrect
```
- Class moa.evaluation.EWMAClassificationPerformanceEvaluator.EWMAEstimator extends java.lang.Object implements Serializable
  - Serialized Fields
    - alpha
```
double alpha
```
    - estimation
```
double estimation
```
- Class moa.evaluation.F1 extends MeasureCollection implements Serializable
- Class moa.evaluation.FadingFactorClassificationPerformanceEvaluator extends BasicClassificationPerformanceEvaluator implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - alphaOption
```
FloatOption alphaOption
```
- Class moa.evaluation.FadingFactorClassificationPerformanceEvaluator.FadingFactorEstimator extends java.lang.Object implements Serializable
  - Serialized Fields
    - alpha
```
double alpha
```
    - b
```
double b
```
    - estimation
```
double estimation
```
- Class moa.evaluation.General extends MeasureCollection implements Serializable
  - Serialized Fields
    - clustering
```
Clustering clustering
```
    - numDims
```
int numDims
```
    - numFClusters
```
int numFClusters
```
    - numPoints
```
int numPoints
```
    - pointInclusionProbThreshold
```
double pointInclusionProbThreshold
```
    - points
```
java.util.ArrayList<E extends java.lang.Object> points
```
- Class moa.evaluation.LearningEvaluation extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - measurements
```
Measurement[] measurements
```
- Class moa.evaluation.MeasureCollection extends AbstractMOAObject implements Serializable
  - Serialized Fields
    - corrupted
```
boolean[] corrupted
```
    - debug
```
boolean debug
```
    - enabled
```
boolean[] enabled
```
    - events
```
java.util.ArrayList<E extends java.lang.Object> events
```
    - map
```
java.util.HashMap<K extends java.lang.Object,V extends java.lang.Object> map
```
    - maxValue
```
double[] maxValue
```
    - minValue
```
double[] minValue
```
    - mm
```
MembershipMatrix mm
```
    - names
```
java.lang.String[] names
```
    - numMeasures
```
int numMeasures
```
    - sortedValues
```
java.util.ArrayList<E extends java.lang.Object>[] sortedValues
```
    - sumValues
```
double[] sumValues
```
    - time
```
double time
```
    - values
```
java.util.ArrayList<E extends java.lang.Object>[] values
```
- Class moa.evaluation.MultiTargetWindowRegressionPerformanceEvaluator extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - averageError
```
MultiTargetWindowRegressionPerformanceEvaluator.Estimator averageError
```
    - numberOutputs
```
int numberOutputs
```
    - numClasses
```
int numClasses
```
    - squareError
```
MultiTargetWindowRegressionPerformanceEvaluator.Estimator squareError
```
    - TotalweightObserved
```
double TotalweightObserved
```
    - weightObserved
```
MultiTargetWindowRegressionPerformanceEvaluator.Estimator weightObserved
```
    - widthOption
```
IntOption widthOption
```
- Class moa.evaluation.MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - averageError
```
MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator.Estimator[] averageError
```
    - averageErrorToTargetMean
```
MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator.Estimator[] averageErrorToTargetMean
```
    - numberOutputs
```
int numberOutputs
```
    - numClasses
```
int numClasses
```
    - squareError
```
MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator.Estimator[] squareError
```
    - squareErrorToTargetMean
```
MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator.Estimator[] squareErrorToTargetMean
```
    - sumY
```
MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator.Estimator[] sumY
```
    - TotalweightObserved
```
double TotalweightObserved
```
    - weightObserved
```
MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator.Estimator weightObserved
```
    - widthOption
```
IntOption widthOption
```
- Class moa.evaluation.OutlierPerformance extends MeasureCollection implements Serializable
- Class moa.evaluation.RegressionAccuracy extends Accuracy implements Serializable
- Class moa.evaluation.Separation extends MeasureCollection implements Serializable
- Class moa.evaluation.SilhouetteCoefficient extends MeasureCollection implements Serializable
  - Serialized Fields
    - pointInclusionProbThreshold
```
double pointInclusionProbThreshold
```
- Class moa.evaluation.SSQ extends MeasureCollection implements Serializable
- Class moa.evaluation.StatisticalCollection extends MeasureCollection implements Serializable
  - Serialized Fields
    - debug
```
boolean debug
```
- Class moa.evaluation.WindowAUCImbalancedPerformanceEvaluator extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - aucEstimator
```
WindowAUCImbalancedPerformanceEvaluator.Estimator aucEstimator
```
    - numClasses
```
int numClasses
```
    - totalObservedInstances
```
double totalObservedInstances
```
    - weightMajorityClassifier
```
WindowAUCImbalancedPerformanceEvaluator.SimpleEstimator weightMajorityClassifier
```
    - widthOption
```
IntOption widthOption
```
- Class moa.evaluation.WindowClassificationPerformanceEvaluator extends BasicClassificationPerformanceEvaluator implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - widthOption
```
IntOption widthOption
```
- Class moa.evaluation.WindowClassificationPerformanceEvaluator.WindowEstimator extends java.lang.Object implements Serializable
  - Serialized Fields
    - lenWindow
```
int lenWindow
```
    - posWindow
```
int posWindow
```
    - qtyNaNs
```
double qtyNaNs
```
    - SizeWindow
```
int SizeWindow
```
    - sum
```
double sum
```
    - window
```
double[] window
```
- Class moa.evaluation.WindowRegressionPerformanceEvaluator extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - averageError
```
WindowRegressionPerformanceEvaluator.Estimator averageError
```
    - numClasses
```
int numClasses
```
    - squareError
```
WindowRegressionPerformanceEvaluator.Estimator squareError
```
    - TotalweightObserved
```
double TotalweightObserved
```
    - weightObserved
```
WindowRegressionPerformanceEvaluator.Estimator weightObserved
```
    - widthOption
```
IntOption widthOption
```
Package moa.evaluation.preview
- Class moa.evaluation.preview.LearningCurve extends Preview implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - measurementNames
```
java.util.List<E extends java.lang.Object> measurementNames
```
    - measurementValues
```
java.util.List<E extends java.lang.Object> measurementValues
```
    - taskClass
```
java.lang.Class<T extends java.lang.Object> taskClass
```
- Class moa.evaluation.preview.Preview extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.evaluation.preview.PreviewCollection extends Preview implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - indexName
```
java.lang.String indexName
```
    - measurementNames
```
java.util.List<E extends java.lang.Object> measurementNames
```
    - minEntryNum
```
int minEntryNum
```
    - orderingName
```
java.lang.String orderingName
```
    - requiredMeasurementNames
```
java.util.List<E extends java.lang.Object> requiredMeasurementNames
```
    - subPreviews
```
java.util.List<E extends java.lang.Object> subPreviews
```
    - taskClass
```
java.lang.Class<T extends java.lang.Object> taskClass
```
    - variedParamName
```
java.lang.String variedParamName
```
    - variedParamValues
```
double[] variedParamValues
```
- Class moa.evaluation.preview.PreviewCollectionLearningCurveWrapper extends Preview implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learningCurveToBeWrapped
```
LearningCurve learningCurveToBeWrapped
```
    - taskClass
```
java.lang.Class<T extends java.lang.Object> taskClass
```
Package moa.gui
- Class moa.gui.AbstractTabPanel extends javax.swing.JPanel implements Serializable
- Class moa.gui.ALTabPanel extends AbstractTabPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - previewPanel
```
ALPreviewPanel previewPanel
```
    - taskManagerPanel
```
ALTaskManagerPanel taskManagerPanel
```
- Class moa.gui.AuxiliarTabPanel extends AbstractTabPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - previewPanel
```
PreviewPanel previewPanel
```
    - taskManagerPanel
```
AuxiliarTaskManagerPanel taskManagerPanel
```
- Class moa.gui.AuxiliarTaskManagerPanel extends javax.swing.JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - cancelTaskButton
```
javax.swing.JButton cancelTaskButton
```
    - configureTaskButton
```
javax.swing.JButton configureTaskButton
```
    - currentTask
```
MainTask currentTask
```
    - deleteTaskButton
```
javax.swing.JButton deleteTaskButton
```
    - pauseTaskButton
```
javax.swing.JButton pauseTaskButton
```
    - PREF_NAME
```
java.lang.String PREF_NAME
```
    - prefs
```
java.util.prefs.Preferences prefs
```
    - previewPanel
```
PreviewPanel previewPanel
```
    - resumeTaskButton
```
javax.swing.JButton resumeTaskButton
```
    - runTaskButton
```
javax.swing.JButton runTaskButton
```
    - taskDescField
```
javax.swing.JTextField taskDescField
```
    - taskList
```
java.util.List<E extends java.lang.Object> taskList
```
    - taskTable
```
javax.swing.JTable taskTable
```
    - taskTableModel
```
AuxiliarTaskManagerPanel.TaskTableModel taskTableModel
```
- Class moa.gui.AuxiliarTaskManagerPanel.ProgressCellRenderer extends javax.swing.JProgressBar implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.AuxiliarTaskManagerPanel.TaskTableModel extends javax.swing.table.AbstractTableModel implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.ClassificationTabPanel extends AbstractTabPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - previewPanel
```
PreviewPanel previewPanel
```
    - taskManagerPanel
```
TaskManagerPanel taskManagerPanel
```
- Class moa.gui.ClassOptionSelectionPanel extends javax.swing.JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - chosenObject
```
java.lang.Object chosenObject
```
    - chosenObjectEditor
```
javax.swing.JComponent chosenObjectEditor
```
    - classChoiceBox
```
javax.swing.JComboBox<E extends java.lang.Object> classChoiceBox
```
- Class moa.gui.ClassOptionWithListenerOptionEditComponent extends ClassOptionEditComponent implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.ClassOptionWithNamesSelectionPanel extends javax.swing.JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - chosenObject
```
java.lang.Object chosenObject
```
    - chosenObjectEditor
```
javax.swing.JComponent chosenObjectEditor
```
    - classChoiceBox
```
javax.swing.JComboBox<E extends java.lang.Object> classChoiceBox
```
    - debug
```
boolean debug
```
- Class moa.gui.ConceptDriftTabPanel extends AbstractTabPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - previewPanel
```
PreviewPanel previewPanel
```
    - taskManagerPanel
```
CDTaskManagerPanel taskManagerPanel
```
- Class moa.gui.EditableMultiChoiceOptionEditComponent extends MultiChoiceOptionEditComponent implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.GUI extends javax.swing.JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - panel
```
javax.swing.JTabbedPane panel
```
- Class moa.gui.GUIDefaults extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4954795757927524225L
- Class moa.gui.LineGraphViewPanel extends javax.swing.JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - plotLines
```
java.util.List<E extends java.lang.Object> plotLines
```
- Class moa.gui.LineGraphViewPanel.PlotPanel extends javax.swing.JPanel implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.LineGraphViewPanel.PlotTableModel extends javax.swing.table.AbstractTableModel implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.MultiLabelTabPanel extends AbstractTabPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - previewPanel
```
PreviewPanel previewPanel
```
    - taskManagerPanel
```
MultiLabelTaskManagerPanel taskManagerPanel
```
- Class moa.gui.MultiLabelTaskManagerPanel extends javax.swing.JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - cancelTaskButton
```
javax.swing.JButton cancelTaskButton
```
    - configureTaskButton
```
javax.swing.JButton configureTaskButton
```
    - currentTask
```
MultiLabelMainTask currentTask
```
    - deleteTaskButton
```
javax.swing.JButton deleteTaskButton
```
    - pauseTaskButton
```
javax.swing.JButton pauseTaskButton
```
    - PREF_NAME
```
java.lang.String PREF_NAME
```
    - prefs
```
java.util.prefs.Preferences prefs
```
    - previewPanel
```
PreviewPanel previewPanel
```
    - resumeTaskButton
```
javax.swing.JButton resumeTaskButton
```
    - runTaskButton
```
javax.swing.JButton runTaskButton
```
    - taskDescField
```
javax.swing.JTextField taskDescField
```
    - taskList
```
java.util.List<E extends java.lang.Object> taskList
```
    - taskTable
```
javax.swing.JTable taskTable
```
    - taskTableModel
```
MultiLabelTaskManagerPanel.TaskTableModel taskTableModel
```
- Class moa.gui.MultiLabelTaskManagerPanel.ProgressCellRenderer extends javax.swing.JProgressBar implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.MultiLabelTaskManagerPanel.TaskTableModel extends javax.swing.table.AbstractTableModel implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.MultiTargetTabPanel extends AbstractTabPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - previewPanel
```
PreviewPanel previewPanel
```
    - taskManagerPanel
```
MultiTargetTaskManagerPanel taskManagerPanel
```
- Class moa.gui.MultiTargetTaskManagerPanel extends javax.swing.JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - cancelTaskButton
```
javax.swing.JButton cancelTaskButton
```
    - configureTaskButton
```
javax.swing.JButton configureTaskButton
```
    - currentTask
```
MultiTargetMainTask currentTask
```
    - deleteTaskButton
```
javax.swing.JButton deleteTaskButton
```
    - pauseTaskButton
```
javax.swing.JButton pauseTaskButton
```
    - PREF_NAME
```
java.lang.String PREF_NAME
```
    - prefs
```
java.util.prefs.Preferences prefs
```
    - previewPanel
```
PreviewPanel previewPanel
```
    - resumeTaskButton
```
javax.swing.JButton resumeTaskButton
```
    - runTaskButton
```
javax.swing.JButton runTaskButton
```
    - taskDescField
```
javax.swing.JTextField taskDescField
```
    - taskList
```
java.util.List<E extends java.lang.Object> taskList
```
    - taskTable
```
javax.swing.JTable taskTable
```
    - taskTableModel
```
MultiTargetTaskManagerPanel.TaskTableModel taskTableModel
```
- Class moa.gui.MultiTargetTaskManagerPanel.ProgressCellRenderer extends javax.swing.JProgressBar implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.MultiTargetTaskManagerPanel.TaskTableModel extends javax.swing.table.AbstractTableModel implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.PreviewPanel extends javax.swing.JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - autoRefreshComboBox
```
javax.swing.JComboBox<E extends java.lang.Object> autoRefreshComboBox
```
    - autoRefreshLabel
```
javax.swing.JLabel autoRefreshLabel
```
    - autoRefreshTimer
```
javax.swing.Timer autoRefreshTimer
```
    - previewedThread
```
TaskThread previewedThread
```
    - previewLabel
```
javax.swing.JLabel previewLabel
```
    - refreshButton
```
javax.swing.JButton refreshButton
```
    - textViewerPanel
```
TaskTextViewerPanel textViewerPanel
```
- Class moa.gui.PreviewTableModel extends javax.swing.table.AbstractTableModel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - data
```
java.util.List<E extends java.lang.Object> data
```
    - latestPreview
```
Preview latestPreview
```
    - names
```
java.util.List<E extends java.lang.Object> names
```
    - structureChangeFlag
```
boolean structureChangeFlag
```
- Class moa.gui.RegressionTabPanel extends AbstractTabPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - previewPanel
```
PreviewPanel previewPanel
```
    - taskManagerPanel
```
RegressionTaskManagerPanel taskManagerPanel
```
- Class moa.gui.RegressionTaskManagerPanel extends javax.swing.JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - cancelTaskButton
```
javax.swing.JButton cancelTaskButton
```
    - configureTaskButton
```
javax.swing.JButton configureTaskButton
```
    - currentTask
```
RegressionMainTask currentTask
```
    - deleteTaskButton
```
javax.swing.JButton deleteTaskButton
```
    - pauseTaskButton
```
javax.swing.JButton pauseTaskButton
```
    - PREF_NAME
```
java.lang.String PREF_NAME
```
    - prefs
```
java.util.prefs.Preferences prefs
```
    - previewPanel
```
PreviewPanel previewPanel
```
    - resumeTaskButton
```
javax.swing.JButton resumeTaskButton
```
    - runTaskButton
```
javax.swing.JButton runTaskButton
```
    - taskDescField
```
javax.swing.JTextField taskDescField
```
    - taskList
```
java.util.List<E extends java.lang.Object> taskList
```
    - taskTable
```
javax.swing.JTable taskTable
```
    - taskTableModel
```
RegressionTaskManagerPanel.TaskTableModel taskTableModel
```
- Class moa.gui.RegressionTaskManagerPanel.ProgressCellRenderer extends javax.swing.JProgressBar implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.RegressionTaskManagerPanel.TaskTableModel extends javax.swing.table.AbstractTableModel implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.ScriptingTabPanel extends AbstractTabPanel implements Serializable
  - Serialized Fields
    - m_PanelJShell
```
com.github.fracpete.jshell.JShellPanel m_PanelJShell
```
      the panel to use.
- Class moa.gui.TaskLauncher extends javax.swing.JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - previewPanel
```
PreviewPanel previewPanel
```
    - taskManagerPanel
```
TaskManagerPanel taskManagerPanel
```
- Class moa.gui.TaskManagerPanel extends javax.swing.JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - cancelTaskButton
```
javax.swing.JButton cancelTaskButton
```
    - configureTaskButton
```
javax.swing.JButton configureTaskButton
```
    - currentTask
```
MainTask currentTask
```
    - deleteTaskButton
```
javax.swing.JButton deleteTaskButton
```
    - pauseTaskButton
```
javax.swing.JButton pauseTaskButton
```
    - PREF_NAME
```
java.lang.String PREF_NAME
```
    - prefs
```
java.util.prefs.Preferences prefs
```
    - previewPanel
```
PreviewPanel previewPanel
```
    - resumeTaskButton
```
javax.swing.JButton resumeTaskButton
```
    - runTaskButton
```
javax.swing.JButton runTaskButton
```
    - taskDescField
```
javax.swing.JTextField taskDescField
```
    - taskList
```
java.util.List<E extends java.lang.Object> taskList
```
    - taskTable
```
javax.swing.JTable taskTable
```
    - taskTableModel
```
TaskManagerPanel.TaskTableModel taskTableModel
```
    - viewModeList
```
javax.swing.JComboBox<E extends java.lang.Object> viewModeList
```
- Class moa.gui.TaskManagerPanel.ProgressCellRenderer extends javax.swing.JProgressBar implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.TaskManagerPanel.TaskTableModel extends javax.swing.table.AbstractTableModel implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.TaskTextViewerPanel extends javax.swing.JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - acc1
```
MeasureCollection[] acc1
```
    - acc2
```
MeasureCollection[] acc2
```
    - buttonRun
```
javax.swing.JButton buttonRun
```
    - buttonScreenshot
```
javax.swing.JButton buttonScreenshot
```
    - buttonStop
```
javax.swing.JButton buttonStop
```
    - buttonZoomInX
```
javax.swing.JButton buttonZoomInX
```
    - buttonZoomInY
```
javax.swing.JButton buttonZoomInY
```
    - buttonZoomOutX
```
javax.swing.JButton buttonZoomOutX
```
    - buttonZoomOutY
```
javax.swing.JButton buttonZoomOutY
```
    - checkboxDrawClustering
```
javax.swing.JCheckBox checkboxDrawClustering
```
    - checkboxDrawGT
```
javax.swing.JCheckBox checkboxDrawGT
```
    - checkboxDrawMicro
```
javax.swing.JCheckBox checkboxDrawMicro
```
    - checkboxDrawPoints
```
javax.swing.JCheckBox checkboxDrawPoints
```
    - clusteringVisualEvalPanel1
```
ClusteringVisualEvalPanel clusteringVisualEvalPanel1
```
    - comboX
```
javax.swing.JComboBox<E extends java.lang.Object> comboX
```
    - comboY
```
javax.swing.JComboBox<E extends java.lang.Object> comboY
```
    - exportButton
```
javax.swing.JButton exportButton
```
    - graphCanvas
```
GraphCanvas graphCanvas
```
    - graphPanel
```
javax.swing.JPanel graphPanel
```
    - graphPanelControlBottom
```
javax.swing.JPanel graphPanelControlBottom
```
    - graphPanelControlTop
```
javax.swing.JPanel graphPanelControlTop
```
    - graphScrollPanel
```
javax.swing.JScrollPane graphScrollPanel
```
    - gridBagConstraints
```
java.awt.GridBagConstraints gridBagConstraints
```
    - jLabel1
```
javax.swing.JLabel jLabel1
```
    - jSplitPane1
```
javax.swing.JSplitPane jSplitPane1
```
    - label_processed_points
```
javax.swing.JLabel label_processed_points
```
    - label_processed_points_value
```
javax.swing.JLabel label_processed_points_value
```
    - labelEvents
```
javax.swing.JLabel labelEvents
```
    - labelNumPause
```
javax.swing.JLabel labelNumPause
```
    - labelX
```
javax.swing.JLabel labelX
```
    - labelY
```
javax.swing.JLabel labelY
```
    - numPauseAfterPoints
```
javax.swing.JTextField numPauseAfterPoints
```
    - panelControl
```
javax.swing.JPanel panelControl
```
    - panelEvalOutput
```
javax.swing.JPanel panelEvalOutput
```
    - panelVisualWrapper
```
javax.swing.JPanel panelVisualWrapper
```
    - previewTable
```
javax.swing.JTable previewTable
```
    - previewTableModel
```
PreviewTableModel previewTableModel
```
    - previewText
```
javax.swing.JTextArea previewText
```
    - scrollPane0
```
javax.swing.JScrollPane scrollPane0
```
    - scrollPane1
```
javax.swing.JScrollPane scrollPane1
```
    - scrollPaneTable
```
javax.swing.JScrollPane scrollPaneTable
```
    - scrollPaneText
```
javax.swing.JScrollPane scrollPaneText
```
    - secondLine
```
java.lang.String secondLine
```
    - speedSlider
```
javax.swing.JSlider speedSlider
```
    - splitVisual
```
javax.swing.JSplitPane splitVisual
```
    - streamPanel0
```
StreamPanel streamPanel0
```
    - streamPanel1
```
StreamPanel streamPanel1
```
    - taskManagerPanel
```
CDTaskManagerPanel taskManagerPanel
```
    - topWrapper
```
javax.swing.JPanel topWrapper
```
    - typePanel
```
PreviewPanel.TypePanel typePanel
```
- Class moa.gui.TextViewerPanel extends javax.swing.JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - exportButton
```
javax.swing.JButton exportButton
```
    - scrollPane
```
javax.swing.JScrollPane scrollPane
```
    - textArea
```
javax.swing.JTextArea textArea
```
- Class moa.gui.WEKAClassOptionEditComponent extends javax.swing.JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - editButton
```
javax.swing.JButton editButton
```
    - editedOption
```
WEKAClassOption editedOption
```
    - textField
```
javax.swing.JTextField textField
```

Package moa.gui.active

Class moa.gui.active.ALPreviewPanel extends javax.swing.JPanel implements Serializable

serialVersionUID:: 1L

Serialized Fields

autoRefreshComboBox

javax.swing.JComboBox<E extends java.lang.Object> autoRefreshComboBox

autoRefreshLabel
```
javax.swing.JLabel autoRefreshLabel
```
autoRefreshTimer
```
javax.swing.Timer autoRefreshTimer
```
previewedThread
```
ALTaskThread previewedThread
```
previewLabel
```
javax.swing.JLabel previewLabel
```
refreshButton
```
javax.swing.JButton refreshButton
```
textViewerPanel
```
ALTaskTextViewerPanel textViewerPanel
```

Class moa.gui.active.ALTaskManagerPanel extends javax.swing.JPanel implements Serializable

serialVersionUID:: 1L

Serialized Fields

cancelTaskButton
```
javax.swing.JButton cancelTaskButton
```
configureTaskButton
```
javax.swing.JButton configureTaskButton
```
currentTask
```
ALMainTask currentTask
```
deleteTaskButton
```
javax.swing.JButton deleteTaskButton
```
pauseTaskButton
```
javax.swing.JButton pauseTaskButton
```
PREF_NAME
```
java.lang.String PREF_NAME
```
prefs
```
java.util.prefs.Preferences prefs
```
previewPanel
```
ALPreviewPanel previewPanel
```
resumeTaskButton
```
javax.swing.JButton resumeTaskButton
```
runTaskButton
```
javax.swing.JButton runTaskButton
```
taskDescField
```
javax.swing.JTextField taskDescField
```

taskList

java.util.List<E extends java.lang.Object> taskList

taskTable
```
javax.swing.JTable taskTable
```

taskTableModel

ALTaskManagerPanel.TaskTableModel taskTableModel

Class moa.gui.active.ALTaskManagerPanel.ProgressCellRenderer extends javax.swing.JProgressBar implements Serializable

serialVersionUID:

1L
Class moa.gui.active.ALTaskManagerPanel.TaskColorCodingCellRenderer extends javax.swing.table.DefaultTableCellRenderer implements Serializable

serialVersionUID:

1L
Class moa.gui.active.ALTaskManagerPanel.TaskTableModel extends javax.swing.table.AbstractTableModel implements Serializable

serialVersionUID:

1L

Class moa.gui.active.ALTaskTextViewerPanel extends javax.swing.JPanel implements Serializable

serialVersionUID:: 1L

Serialized Fields

budgetGraphCanvas
```
ParamGraphCanvas budgetGraphCanvas
```

budgetGraphScrollPanel

javax.swing.JScrollPane budgetGraphScrollPanel

budgets
```
double[] budgets
```
buttonZoomInX
```
javax.swing.JButton buttonZoomInX
```
buttonZoomInY
```
javax.swing.JButton buttonZoomInY
```
buttonZoomOutX
```
javax.swing.JButton buttonZoomOutX
```
buttonZoomOutY
```
javax.swing.JButton buttonZoomOutY
```
errorTextField
```
javax.swing.JTextArea errorTextField
```
exportButton
```
javax.swing.JButton exportButton
```
graphCanvas
```
ProcessGraphCanvas graphCanvas
```
graphPanel
```
javax.swing.JPanel graphPanel
```

graphPanelControlLeft

javax.swing.JPanel graphPanelControlLeft

graphPanelControlRight

javax.swing.JPanel graphPanelControlRight

graphPanelTabbedPane

javax.swing.JTabbedPane graphPanelTabbedPane

graphScrollPanel

javax.swing.JScrollPane graphScrollPanel

gridBagConstraints

java.awt.GridBagConstraints gridBagConstraints

labelEvents
```
javax.swing.JLabel labelEvents
```
mainPane
```
javax.swing.JSplitPane mainPane
```
measureOverview
```
MeasureOverview measureOverview
```
panelEvalOutput
```
javax.swing.JPanel panelEvalOutput
```
paramGraphCanvas
```
ParamGraphCanvas paramGraphCanvas
```

paramGraphScrollPanel

javax.swing.JScrollPane paramGraphScrollPanel

previewTable
```
javax.swing.JTable previewTable
```
previewTableModel
```
PreviewTableModel previewTableModel
```
scrollPaneTable
```
javax.swing.JScrollPane scrollPaneTable
```
scrollPaneText
```
javax.swing.JScrollPane scrollPaneText
```
topWrapper
```
javax.swing.JPanel topWrapper
```
variedParamName
```
java.lang.String variedParamName
```
variedParamValues
```
double[] variedParamValues
```

Class moa.gui.active.MeasureOverview extends javax.swing.JPanel implements Serializable

serialVersionUID:: 1L

Serialized Fields

contentPanel
```
javax.swing.JPanel contentPanel
```
currentValues
```
javax.swing.JLabel[] currentValues
```
labelCurrent
```
javax.swing.JLabel labelCurrent
```
labelMean
```
javax.swing.JLabel labelMean
```
labelMeasure
```
javax.swing.JLabel labelMeasure
```
meanValues
```
javax.swing.JLabel[] meanValues
```
measureCollectionSelected
```
int measureCollectionSelected
```
measures
```
MeasureCollection[] measures
```

paramBox

javax.swing.JComboBox<E extends java.lang.Object> paramBox

radioButtons
```
javax.swing.JRadioButton[] radioButtons
```
radioGroup
```
javax.swing.ButtonGroup radioGroup
```
scrollPane
```
javax.swing.JScrollPane scrollPane
```
variedParamName
```
java.lang.String variedParamName
```
variedParamValues
```
double[] variedParamValues
```

Package moa.gui.clustertab

Class moa.gui.clustertab.ClusteringAlgoPanel extends javax.swing.JPanel implements Serializable
- Serialized Fields
  - algorithmOption0
```
ClassOption algorithmOption0
```
  - algorithmOption1
```
ClassOption algorithmOption1
```
  - editComponents
```
java.util.List<E extends java.lang.Object> editComponents
```
  - streamOption
```
ClassOption streamOption
```

Class moa.gui.clustertab.ClusteringEvalPanel extends javax.swing.JPanel implements Serializable

Serialized Fields

checkboxes

java.util.ArrayList<E extends java.lang.Object> checkboxes

contentPanel
```
javax.swing.JPanel contentPanel
```

labels

java.util.ArrayList<E extends java.lang.Object> labels

measure_classes

java.lang.Class<T extends java.lang.Object>[] measure_classes

scrollPane
```
javax.swing.JScrollPane scrollPane
```

Class moa.gui.clustertab.ClusteringSetupTab extends javax.swing.JPanel implements Serializable

Serialized Fields

buttonExport
```
javax.swing.JButton buttonExport
```

buttonExportSettings

javax.swing.JButton buttonExportSettings

buttonImportSettings

javax.swing.JButton buttonImportSettings

buttonStart
```
javax.swing.JButton buttonStart
```
buttonStop
```
javax.swing.JButton buttonStop
```
buttonWeka
```
javax.swing.JButton buttonWeka
```

clusteringAlgoPanel0

ClusteringAlgoPanel clusteringAlgoPanel0

clusteringEvalPanel1

ClusteringEvalPanel clusteringEvalPanel1

clusteringTab
```
ClusteringTabPanel clusteringTab
```
lastfile
```
java.lang.String lastfile
```
logPanel
```
TextViewerPanel logPanel
```

Class moa.gui.clustertab.ClusteringTabPanel extends AbstractTabPanel implements Serializable
- Serialized Fields
  - clusteringSetupTab
```
ClusteringSetupTab clusteringSetupTab
```
  - clusteringVisualTab
```
ClusteringVisualTab clusteringVisualTab
```
  - jTabbedPane1
```
javax.swing.JTabbedPane jTabbedPane1
```

Class moa.gui.clustertab.ClusteringVisualEvalPanel extends javax.swing.JPanel implements Serializable

Serialized Fields

contentPanel
```
javax.swing.JPanel contentPanel
```
labelCurrent0
```
javax.swing.JLabel labelCurrent0
```
labelDummy
```
javax.swing.JLabel labelDummy
```
labelMean0
```
javax.swing.JLabel labelMean0
```
labelMeasure
```
javax.swing.JLabel labelMeasure
```
measures0
```
MeasureCollection[] measures0
```
measures1
```
MeasureCollection[] measures1
```

names

java.util.ArrayList<E extends java.lang.Object> names

radiobuttons

java.util.ArrayList<E extends java.lang.Object> radiobuttons

radioGroup
```
javax.swing.ButtonGroup radioGroup
```
scrollPane
```
javax.swing.JScrollPane scrollPane
```

values

java.util.ArrayList<E extends java.lang.Object> values

Class moa.gui.clustertab.ClusteringVisualTab extends javax.swing.JPanel implements Serializable

Serialized Fields

buttonRun
```
javax.swing.JButton buttonRun
```
buttonScreenshot
```
javax.swing.JButton buttonScreenshot
```
buttonStop
```
javax.swing.JButton buttonStop
```
buttonZoomInX
```
javax.swing.JButton buttonZoomInX
```
buttonZoomInY
```
javax.swing.JButton buttonZoomInY
```
buttonZoomOutX
```
javax.swing.JButton buttonZoomOutX
```
buttonZoomOutY
```
javax.swing.JButton buttonZoomOutY
```

checkboxDrawClustering

javax.swing.JCheckBox checkboxDrawClustering

checkboxDrawGT
```
javax.swing.JCheckBox checkboxDrawGT
```
checkboxDrawMicro
```
javax.swing.JCheckBox checkboxDrawMicro
```

checkboxDrawPoints

javax.swing.JCheckBox checkboxDrawPoints

clusteringSetupTab
```
ClusteringSetupTab clusteringSetupTab
```

clusteringVisualEvalPanel1

ClusteringVisualEvalPanel clusteringVisualEvalPanel1

comboX

javax.swing.JComboBox<E extends java.lang.Object> comboX

comboY

javax.swing.JComboBox<E extends java.lang.Object> comboY

exportFile
```
java.lang.String exportFile
```
graphCanvas
```
GraphCanvas graphCanvas
```
graphPanel
```
javax.swing.JPanel graphPanel
```

graphPanelControlBottom

javax.swing.JPanel graphPanelControlBottom

graphPanelControlTop
```
javax.swing.JPanel graphPanelControlTop
```

graphScrollPanel

javax.swing.JScrollPane graphScrollPanel

jLabel1
```
javax.swing.JLabel jLabel1
```
jSplitPane1
```
javax.swing.JSplitPane jSplitPane1
```

label_processed_points

javax.swing.JLabel label_processed_points

label_processed_points_value

javax.swing.JLabel label_processed_points_value

labelEvents
```
javax.swing.JLabel labelEvents
```
labelNumPause
```
javax.swing.JLabel labelNumPause
```
labelX
```
javax.swing.JLabel labelX
```
labelY
```
javax.swing.JLabel labelY
```

numPauseAfterPoints

javax.swing.JTextField numPauseAfterPoints

panelControl
```
javax.swing.JPanel panelControl
```
panelEvalOutput
```
javax.swing.JPanel panelEvalOutput
```
panelVisualWrapper
```
javax.swing.JPanel panelVisualWrapper
```
running
```
java.lang.Boolean running
```
screenshotFilebase
```
java.lang.String screenshotFilebase
```
scrollPane0
```
javax.swing.JScrollPane scrollPane0
```
scrollPane1
```
javax.swing.JScrollPane scrollPane1
```
speedSlider
```
javax.swing.JSlider speedSlider
```
splitVisual
```
javax.swing.JSplitPane splitVisual
```
streamPanel0
```
StreamPanel streamPanel0
```
streamPanel1
```
StreamPanel streamPanel1
```
topWrapper
```
javax.swing.JPanel topWrapper
```
visualizer
```
RunVisualizer visualizer
```
visualizerThread
```
java.lang.Thread visualizerThread
```

Package moa.gui.conceptdrift
- Class moa.gui.conceptdrift.CDTaskManagerPanel extends javax.swing.JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - cancelTaskButton
```
javax.swing.JButton cancelTaskButton
```
    - configureTaskButton
```
javax.swing.JButton configureTaskButton
```
    - currentTask
```
ConceptDriftMainTask currentTask
```
    - deleteTaskButton
```
javax.swing.JButton deleteTaskButton
```
    - pauseTaskButton
```
javax.swing.JButton pauseTaskButton
```
    - PREF_NAME
```
java.lang.String PREF_NAME
```
    - prefs
```
java.util.prefs.Preferences prefs
```
    - previewPanel
```
PreviewPanel previewPanel
```
    - resumeTaskButton
```
javax.swing.JButton resumeTaskButton
```
    - runTaskButton
```
javax.swing.JButton runTaskButton
```
    - taskDescField
```
javax.swing.JTextField taskDescField
```
    - taskList
```
java.util.List<E extends java.lang.Object> taskList
```
    - taskTable
```
javax.swing.JTable taskTable
```
    - taskTableModel
```
CDTaskManagerPanel.TaskTableModel taskTableModel
```
- Class moa.gui.conceptdrift.CDTaskManagerPanel.ProgressCellRenderer extends javax.swing.JProgressBar implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.conceptdrift.CDTaskManagerPanel.TaskTableModel extends javax.swing.table.AbstractTableModel implements Serializable
  
  serialVersionUID:
  
  1L

Package moa.gui.experimentertab

Class moa.gui.experimentertab.AnalyzeTab extends javax.swing.JPanel implements Serializable

Serialized Fields

algorithms
```
java.lang.String[] algorithms
```

algoritmModel

javax.swing.table.DefaultTableModel algoritmModel

jButtonDelAlgoritm
```
javax.swing.JButton jButtonDelAlgoritm
```
jButtonDelStream
```
javax.swing.JButton jButtonDelStream
```
jButtonImage
```
javax.swing.JButton jButtonImage
```
jButtonReset
```
javax.swing.JButton jButtonReset
```
jButtonResults
```
javax.swing.JButton jButtonResults
```
jButtonTest
```
javax.swing.JButton jButtonTest
```

jComboBoxMeasure

javax.swing.JComboBox<E extends java.lang.Object> jComboBoxMeasure

jComboBoxTest

javax.swing.JComboBox<E extends java.lang.Object> jComboBoxTest

jComboBoxType

javax.swing.JComboBox<E extends java.lang.Object> jComboBoxType

jLabel1
```
javax.swing.JLabel jLabel1
```
jLabel2
```
javax.swing.JLabel jLabel2
```
jLabel3
```
javax.swing.JLabel jLabel3
```
jLabel4
```
javax.swing.JLabel jLabel4
```
jLabelDirectory
```
javax.swing.JLabel jLabelDirectory
```
jPanel1
```
javax.swing.JPanel jPanel1
```
jPanel2
```
javax.swing.JPanel jPanel2
```
jScrollPane1
```
javax.swing.JScrollPane jScrollPane1
```

jScrollPaneAlgorithms

javax.swing.JScrollPane jScrollPaneAlgorithms

jScrollPaneStreams

javax.swing.JScrollPane jScrollPaneStreams

jSpinnerPvalue
```
javax.swing.JSpinner jSpinnerPvalue
```
jTableAlgoritms
```
javax.swing.JTable jTableAlgoritms
```
jTableStreams
```
javax.swing.JTable jTableStreams
```
jTextAreaOut
```
javax.swing.JTextArea jTextAreaOut
```

jTextFieldResultsPath

javax.swing.JTextField jTextFieldResultsPath

measures

java.util.LinkedList<E extends java.lang.Object> measures

path
```
java.lang.String path
```

pvalues

java.util.ArrayList<E extends java.lang.Object> pvalues

rank

java.util.ArrayList<E extends java.lang.Object> rank

rf
```
ReadFile rf
```

streamModel

javax.swing.table.DefaultTableModel streamModel

Class moa.gui.experimentertab.ExperimenterTabPanel extends AbstractTabPanel implements Serializable

serialVersionUID:

1L
- Serialized Fields
  - previewPanel
```
ExpPreviewPanel previewPanel
```
  - tabs
```
javax.swing.JTabbedPane tabs
```
  - taskTabManagerPanel
```
TaskManagerTabPanel taskTabManagerPanel
```

Class moa.gui.experimentertab.ExpPreviewPanel extends javax.swing.JPanel implements Serializable

serialVersionUID:: 1L

Serialized Fields

autoRefreshComboBox

javax.swing.JComboBox<E extends java.lang.Object> autoRefreshComboBox

autoRefreshLabel
```
javax.swing.JLabel autoRefreshLabel
```
autoRefreshTimer
```
javax.swing.Timer autoRefreshTimer
```
previewedThread
```
ExpTaskThread previewedThread
```
previewLabel
```
javax.swing.JLabel previewLabel
```
refreshButton
```
javax.swing.JButton refreshButton
```
textViewerPanel
```
TaskTextViewerPanel textViewerPanel
```

Class moa.gui.experimentertab.ImagePanel extends org.jfree.chart.ChartPanel implements Serializable
- Serialized Fields
  - chart
```
org.jfree.chart.JFreeChart chart
```
Class moa.gui.experimentertab.ImageTreePanel extends javax.swing.JPanel implements Serializable
- Serialized Fields
  - chart
```
ImageChart[] chart
```
  - chartPanel
```
ImagePanel[] chartPanel
```
  - imgPanel
```
javax.swing.JPanel imgPanel
```
  - tree
```
javax.swing.JTree tree
```
Class moa.gui.experimentertab.ImageViewer extends javax.swing.JFrame implements Serializable
- Serialized Fields
  - btn
```
javax.swing.JButton btn
```
  - imgPanel
```
ImageTreePanel imgPanel
```
  - imgType
```
javax.swing.JComboBox<E extends java.lang.Object> imgType
```
  - resultsPath
```
java.lang.String resultsPath
```

Class moa.gui.experimentertab.PlotTab extends javax.swing.JPanel implements Serializable

Serialized Fields

algoritmModel

javax.swing.table.DefaultTableModel algoritmModel

chart
```
ImageChart[] chart
```
imgPanel
```
ImageTreePanel imgPanel
```
jButtonAcept
```
javax.swing.JButton jButtonAcept
```
jButtonAceptGnuP
```
javax.swing.JButton jButtonAceptGnuP
```

jButtonDeletAlgorithm

javax.swing.JButton jButtonDeletAlgorithm

jButtonDeleteStream
```
javax.swing.JButton jButtonDeleteStream
```
jButtonGnuoPath
```
javax.swing.JButton jButtonGnuoPath
```
jButtonInPath
```
javax.swing.JButton jButtonInPath
```
jButtonReset
```
javax.swing.JButton jButtonReset
```
jButtonResetGnuP
```
javax.swing.JButton jButtonResetGnuP
```

jCheckBoxDeleteScript

javax.swing.JCheckBox jCheckBoxDeleteScript

jCheckBoxShape
```
javax.swing.JCheckBox jCheckBoxShape
```
jCheckBoxSmooth
```
javax.swing.JCheckBox jCheckBoxSmooth
```

jComboBoxGrid

javax.swing.JComboBox<E extends java.lang.Object> jComboBoxGrid

jComboBoxLegendLocation

javax.swing.JComboBox<E extends java.lang.Object> jComboBoxLegendLocation

jComboBoxLegendType

javax.swing.JComboBox<E extends java.lang.Object> jComboBoxLegendType

jComboBoxLineStyle

javax.swing.JComboBox<E extends java.lang.Object> jComboBoxLineStyle

jComboBoxOutPTypeGnuP

javax.swing.JComboBox<E extends java.lang.Object> jComboBoxOutPTypeGnuP

jComboBoxXColumn

javax.swing.JComboBox<E extends java.lang.Object> jComboBoxXColumn

jComboBoxXColumnGnuP

javax.swing.JComboBox<E extends java.lang.Object> jComboBoxXColumnGnuP

jComboBoxYColumn

javax.swing.JComboBox<E extends java.lang.Object> jComboBoxYColumn

jComboBoxYColumnGnuP

javax.swing.JComboBox<E extends java.lang.Object> jComboBoxYColumnGnuP

jLabel1
```
javax.swing.JLabel jLabel1
```
jLabel10
```
javax.swing.JLabel jLabel10
```
jLabel11
```
javax.swing.JLabel jLabel11
```
jLabel13
```
javax.swing.JLabel jLabel13
```
jLabel14
```
javax.swing.JLabel jLabel14
```
jLabel15
```
javax.swing.JLabel jLabel15
```
jLabel16
```
javax.swing.JLabel jLabel16
```
jLabel17
```
javax.swing.JLabel jLabel17
```
jLabel18
```
javax.swing.JLabel jLabel18
```
jLabel19
```
javax.swing.JLabel jLabel19
```
jLabel2
```
javax.swing.JLabel jLabel2
```
jLabel20
```
javax.swing.JLabel jLabel20
```
jLabel21
```
javax.swing.JLabel jLabel21
```
jLabel22
```
javax.swing.JLabel jLabel22
```
jLabel23
```
javax.swing.JLabel jLabel23
```
jLabel24
```
javax.swing.JLabel jLabel24
```
jLabel25
```
javax.swing.JLabel jLabel25
```
jLabel26
```
javax.swing.JLabel jLabel26
```
jLabel27
```
javax.swing.JLabel jLabel27
```
jLabel3
```
javax.swing.JLabel jLabel3
```
jLabel5
```
javax.swing.JLabel jLabel5
```
jLabel6
```
javax.swing.JLabel jLabel6
```
jLabel7
```
javax.swing.JLabel jLabel7
```
jLabel8
```
javax.swing.JLabel jLabel8
```
jPanel1
```
javax.swing.JPanel jPanel1
```
jPanel2
```
javax.swing.JPanel jPanel2
```
jPanel3
```
javax.swing.JPanel jPanel3
```
jPanel4
```
javax.swing.JPanel jPanel4
```
jPanelGnuP
```
javax.swing.JPanel jPanelGnuP
```
jScrollPane1
```
javax.swing.JScrollPane jScrollPane1
```
jScrollPane3
```
javax.swing.JScrollPane jScrollPane3
```

jScrollPaneAlgorithms

javax.swing.JScrollPane jScrollPaneAlgorithms

jScrollPaneGnuP
```
javax.swing.JScrollPane jScrollPaneGnuP
```
jSpinnerHeight
```
javax.swing.JSpinner jSpinnerHeight
```
jSpinnerLineWidth
```
javax.swing.JSpinner jSpinnerLineWidth
```

jSpinnerPlotInterval

javax.swing.JSpinner jSpinnerPlotInterval

jSpinnerWidth
```
javax.swing.JSpinner jSpinnerWidth
```
jTabbedPane1
```
javax.swing.JTabbedPane jTabbedPane1
```
jTableAlgoritms
```
javax.swing.JTable jTableAlgoritms
```
jTableStreams
```
javax.swing.JTable jTableStreams
```

jTextFieldAdcComand

javax.swing.JTextField jTextFieldAdcComand

jTextFieldAPOptions

javax.swing.JTextField jTextFieldAPOptions

jTextFieldGNUPath

javax.swing.JTextField jTextFieldGNUPath

jTextFieldResultPath

javax.swing.JTextField jTextFieldResultPath

jTextFieldTitle
```
javax.swing.JTextField jTextFieldTitle
```
jTextFieldxTitle
```
javax.swing.JTextField jTextFieldxTitle
```

jTextFieldxTitleGnuP

javax.swing.JTextField jTextFieldxTitleGnuP

jTextFieldyTitle
```
javax.swing.JTextField jTextFieldyTitle
```

jTextFieldyTitleGnuP

javax.swing.JTextField jTextFieldyTitleGnuP

measures

java.util.LinkedList<E extends java.lang.Object> measures

path
```
java.lang.String path
```
rf
```
ReadFile rf
```

streamModel

javax.swing.table.DefaultTableModel streamModel

Class moa.gui.experimentertab.PreviewExperiments extends javax.swing.JFrame implements Serializable
- Serialized Fields
  - previewPanel
```
ExpPreviewPanel previewPanel
```

Class moa.gui.experimentertab.RankingGraph extends javax.swing.JFrame implements Serializable

Serialized Fields

algRank

java.util.ArrayList<E extends java.lang.Object> algRank

availableStrokeSamples

org.jfree.ui.StrokeSample[] availableStrokeSamples

btnDir
```
javax.swing.JButton btnDir
```
btnFont
```
javax.swing.JButton btnFont
```
btnLineDifStronke
```
javax.swing.JButton btnLineDifStronke
```
btnLineStroke
```
javax.swing.JButton btnLineStroke
```
btnSave
```
javax.swing.JButton btnSave
```
controlPanel
```
javax.swing.JPanel controlPanel
```
controlPanelDisplay
```
javax.swing.JPanel controlPanelDisplay
```
difStroke
```
org.jfree.ui.StrokeSample difStroke
```
exportPanel
```
javax.swing.JPanel exportPanel
```
gb
```
java.awt.Graphics2D gb
```
graphPanel
```
javax.swing.JPanel graphPanel
```
graphPanelDisplay
```
javax.swing.JPanel graphPanelDisplay
```
height
```
int height
```
image
```
java.awt.image.BufferedImage image
```
imgOptionsPanel
```
javax.swing.JPanel imgOptionsPanel
```
imgPath
```
java.lang.String imgPath
```
pvalue
```
double pvalue
```

PValues

java.util.ArrayList<E extends java.lang.Object> PValues

stroke
```
org.jfree.ui.StrokeSample stroke
```
textFont
```
java.awt.Font textFont
```
width
```
int width
```
x0
```
int x0
```
xScale
```
int xScale
```
xSlider
```
javax.swing.JSlider xSlider
```
y0
```
int y0
```
yScale
```
int yScale
```
ySlider
```
javax.swing.JSlider ySlider
```
zoomPanel
```
javax.swing.JPanel zoomPanel
```

Class moa.gui.experimentertab.RankingGraph.SliderPanel extends javax.swing.JPanel implements Serializable

Class moa.gui.experimentertab.SummaryTab extends javax.swing.JPanel implements Serializable

Serialized Fields

algorithmNames

java.util.LinkedList<E extends java.lang.Object> algorithmNames

algoritmModel

javax.swing.table.DefaultTableModel algoritmModel

algotithmID

java.util.ArrayList<E extends java.lang.Object> algotithmID

jButtonAddMeasure
```
javax.swing.JButton jButtonAddMeasure
```
jButtonDelAlgoritm
```
javax.swing.JButton jButtonDelAlgoritm
```
jButtonDelMeasure
```
javax.swing.JButton jButtonDelMeasure
```
jButtonDelStream
```
javax.swing.JButton jButtonDelStream
```
jButtonDleteRow
```
javax.swing.JButton jButtonDleteRow
```
jButtonResults
```
javax.swing.JButton jButtonResults
```
jButtonShowSummary
```
javax.swing.JButton jButtonShowSummary
```
jButtonSummarize
```
javax.swing.JButton jButtonSummarize
```

jComboBoxMeasure

javax.swing.JComboBox<E extends java.lang.Object> jComboBoxMeasure

jLabelMeasure
```
javax.swing.JLabel jLabelMeasure
```
jLabelResults
```
javax.swing.JLabel jLabelResults
```
jPanelConfig
```
javax.swing.JPanel jPanelConfig
```

jScrollPaneAlgorithms

javax.swing.JScrollPane jScrollPaneAlgorithms

jScrollPaneMeasure

javax.swing.JScrollPane jScrollPaneMeasure

jScrollPaneStreams

javax.swing.JScrollPane jScrollPaneStreams

jTableAlgoritms
```
javax.swing.JTable jTableAlgoritms
```
jTableMeasures
```
javax.swing.JTable jTableMeasures
```
jTableStreams
```
javax.swing.JTable jTableStreams
```

jTextFieldResultsPath

javax.swing.JTextField jTextFieldResultsPath

measureModel

javax.swing.table.DefaultTableModel measureModel

measures

java.util.LinkedList<E extends java.lang.Object> measures

option

javax.swing.JComboBox<E extends java.lang.Object> option

rf
```
ReadFile rf
```

streamModel

javax.swing.table.DefaultTableModel streamModel

streamNames

java.util.LinkedList<E extends java.lang.Object> streamNames

summary
```
Summary summary
```

Class moa.gui.experimentertab.SummaryViewer extends javax.swing.JFrame implements Serializable

Serialized Fields

bntExport
```
javax.swing.JButton bntExport
```
jTablePanel
```
javax.swing.JPanel jTablePanel
```
resultsPath
```
java.lang.String resultsPath
```
scroll
```
javax.swing.JScrollPane scroll
```
summary
```
Summary summary
```
summaryTable
```
SummaryTable[] summaryTable
```

summaryType

javax.swing.JComboBox<E extends java.lang.Object> summaryType

tableSummary
```
javax.swing.JTable tableSummary
```

Class moa.gui.experimentertab.TaskManagerForm extends javax.swing.JPanel implements Serializable

Serialized Fields

jButtonAlgorithm
```
javax.swing.JButton jButtonAlgorithm
```
jButtonDelAlgoritm
```
javax.swing.JButton jButtonDelAlgoritm
```
jButtonDelStream
```
javax.swing.JButton jButtonDelStream
```
jButtonDir
```
javax.swing.JButton jButtonDir
```
jButtonOpenConfig
```
javax.swing.JButton jButtonOpenConfig
```
jButtonSaveConfig
```
javax.swing.JButton jButtonSaveConfig
```
jButtonStream
```
javax.swing.JButton jButtonStream
```
jButtonTask
```
javax.swing.JButton jButtonTask
```
jLabel1
```
javax.swing.JLabel jLabel1
```
jLabelDirectory
```
javax.swing.JLabel jLabelDirectory
```
jPanel1
```
javax.swing.JPanel jPanel1
```

jScrollPaneAlgorithms

javax.swing.JScrollPane jScrollPaneAlgorithms

jScrollPaneStreams

javax.swing.JScrollPane jScrollPaneStreams

jTableAlgorithms
```
javax.swing.JTable jTableAlgorithms
```
jTableStreams
```
javax.swing.JTable jTableStreams
```
jTextFieldDir
```
javax.swing.JTextField jTextFieldDir
```
jTextFieldTask
```
javax.swing.JTextField jTextFieldTask
```

Class moa.gui.experimentertab.TaskManagerTabPanel extends javax.swing.JPanel implements Serializable

Serialized Fields

algoritmModel

javax.swing.table.DefaultTableModel algoritmModel

analizeTab
```
AnalyzeTab analizeTab
```
currentTask
```
MainTask currentTask
```
detector
```
ChangeDetectorLearner detector
```
detectorStream
```
ConceptDriftGenerator detectorStream
```
initialString
```
java.lang.String initialString
```
jButtonAlgorithm
```
javax.swing.JButton jButtonAlgorithm
```
jButtonCancel
```
javax.swing.JButton jButtonCancel
```
jButtonDelAlgoritm
```
javax.swing.JButton jButtonDelAlgoritm
```
jButtonDelete
```
javax.swing.JButton jButtonDelete
```
jButtonDelStream
```
javax.swing.JButton jButtonDelStream
```
jButtonDir
```
javax.swing.JButton jButtonDir
```
jButtonOpenConfig
```
javax.swing.JButton jButtonOpenConfig
```
jButtonPause
```
javax.swing.JButton jButtonPause
```
jButtonPreview
```
javax.swing.JButton jButtonPreview
```
jButtonReset
```
javax.swing.JButton jButtonReset
```
jButtonResume
```
javax.swing.JButton jButtonResume
```
jButtonRun
```
javax.swing.JButton jButtonRun
```
jButtonSaveConfig
```
javax.swing.JButton jButtonSaveConfig
```
jButtonStream
```
javax.swing.JButton jButtonStream
```
jButtonTask
```
javax.swing.JButton jButtonTask
```
jPanelConfig
```
javax.swing.JPanel jPanelConfig
```

jScrollPaneAlgorithms

javax.swing.JScrollPane jScrollPaneAlgorithms

jScrollPaneStreams

javax.swing.JScrollPane jScrollPaneStreams

jScrollPaneTaskTable

javax.swing.JScrollPane jScrollPaneTaskTable

jTableAlgorithms
```
javax.swing.JTable jTableAlgorithms
```
jTableStreams
```
javax.swing.JTable jTableStreams
```
jTextFieldDir
```
javax.swing.JTextField jTextFieldDir
```

jTextFieldProcess

javax.swing.JTextField jTextFieldProcess

jTextFieldTask
```
javax.swing.JTextField jTextFieldTask
```
learner
```
Classifier learner
```

listModelMonitor

javax.swing.DefaultListModel<E extends java.lang.Object> listModelMonitor

plot
```
PlotTab plot
```
preview
```
PreviewExperiments preview
```
previewPanel
```
ExpPreviewPanel previewPanel
```
resultsPath
```
java.lang.String resultsPath
```
stream
```
AbstractOptionHandler stream
```

streamModel

javax.swing.table.DefaultTableModel streamModel

summary
```
SummaryTab summary
```

taskList

java.util.List<E extends java.lang.Object> taskList

taskTable
```
javax.swing.JTable taskTable
```

taskTableModel

TaskManagerTabPanel.TaskTableModel taskTableModel

Class moa.gui.experimentertab.TaskManagerTabPanel.ProgressCellRenderer extends javax.swing.JProgressBar implements Serializable

serialVersionUID:

1L
Class moa.gui.experimentertab.TaskManagerTabPanel.TaskTableModel extends javax.swing.table.AbstractTableModel implements Serializable

serialVersionUID:

1L

Class moa.gui.experimentertab.TaskTextViewerPanel extends javax.swing.JPanel implements Serializable

serialVersionUID:: 1L

Serialized Fields

acc1
```
MeasureCollection[] acc1
```
acc2
```
MeasureCollection[] acc2
```
buttonRun
```
javax.swing.JButton buttonRun
```
buttonScreenshot
```
javax.swing.JButton buttonScreenshot
```
buttonStop
```
javax.swing.JButton buttonStop
```
buttonZoomInX
```
javax.swing.JButton buttonZoomInX
```
buttonZoomInY
```
javax.swing.JButton buttonZoomInY
```
buttonZoomOutX
```
javax.swing.JButton buttonZoomOutX
```
buttonZoomOutY
```
javax.swing.JButton buttonZoomOutY
```

checkboxDrawClustering

javax.swing.JCheckBox checkboxDrawClustering

checkboxDrawGT
```
javax.swing.JCheckBox checkboxDrawGT
```
checkboxDrawMicro
```
javax.swing.JCheckBox checkboxDrawMicro
```

checkboxDrawPoints

javax.swing.JCheckBox checkboxDrawPoints

clusteringVisualEvalPanel1

ClusteringVisualEvalPanel clusteringVisualEvalPanel1

comboX

javax.swing.JComboBox<E extends java.lang.Object> comboX

comboY

javax.swing.JComboBox<E extends java.lang.Object> comboY

exportButton
```
javax.swing.JButton exportButton
```
graphCanvas
```
GraphCanvas graphCanvas
```
graphPanel
```
javax.swing.JPanel graphPanel
```

graphPanelControlBottom

javax.swing.JPanel graphPanelControlBottom

graphPanelControlTop
```
javax.swing.JPanel graphPanelControlTop
```

graphScrollPanel

javax.swing.JScrollPane graphScrollPanel

gridBagConstraints

java.awt.GridBagConstraints gridBagConstraints

jLabel1
```
javax.swing.JLabel jLabel1
```
jSplitPane1
```
javax.swing.JSplitPane jSplitPane1
```

label_processed_points

javax.swing.JLabel label_processed_points

label_processed_points_value

javax.swing.JLabel label_processed_points_value

labelEvents
```
javax.swing.JLabel labelEvents
```
labelNumPause
```
javax.swing.JLabel labelNumPause
```
labelX
```
javax.swing.JLabel labelX
```
labelY
```
javax.swing.JLabel labelY
```

numPauseAfterPoints

javax.swing.JTextField numPauseAfterPoints

panelControl
```
javax.swing.JPanel panelControl
```
panelEvalOutput
```
javax.swing.JPanel panelEvalOutput
```
panelVisualWrapper
```
javax.swing.JPanel panelVisualWrapper
```
scrollPane
```
javax.swing.JScrollPane scrollPane
```
scrollPane0
```
javax.swing.JScrollPane scrollPane0
```
scrollPane1
```
javax.swing.JScrollPane scrollPane1
```
secondLine
```
java.lang.String secondLine
```
speedSlider
```
javax.swing.JSlider speedSlider
```
splitVisual
```
javax.swing.JSplitPane splitVisual
```
streamPanel0
```
StreamPanel streamPanel0
```
streamPanel1
```
StreamPanel streamPanel1
```
taskManagerPanel
```
CDTaskManagerPanel taskManagerPanel
```
textArea
```
javax.swing.JTextArea textArea
```
topWrapper
```
javax.swing.JPanel topWrapper
```
typePanel
```
ExpPreviewPanel.TypePanel typePanel
```

Package moa.gui.experimentertab.tasks
- Class moa.gui.experimentertab.tasks.ConceptDriftMainTask extends ExperimenterTask implements Serializable
  - Serialized Fields
    - events
```
java.util.ArrayList<E extends java.lang.Object> events
```
- Class moa.gui.experimentertab.tasks.EvaluateConceptDrift extends ConceptDriftMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - instanceLimitOption
```
IntOption instanceLimitOption
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - timeLimitOption
```
IntOption timeLimitOption
```
- Class moa.gui.experimentertab.tasks.EvaluateInterleavedChunks extends ExperimenterTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - chunkSizeOption
```
IntOption chunkSizeOption
```
      Allow to define the training/testing chunk size.
    - evaluatorOption
```
ClassOption evaluatorOption
```
      Allows to select the classifier performance evaluation method.
    - instanceLimitOption
```
IntOption instanceLimitOption
```
      Allows to define the maximum number of instances to test/train on (-1 = no limit).
    - maxMemoryOption
```
IntOption maxMemoryOption
```
      Allows to define the memory limit for the created model.
    - memCheckFrequencyOption
```
IntOption memCheckFrequencyOption
```
      Allows to define the frequency of memory checks.
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
      Defines how often classifier parameters will be calculated.
    - timeLimitOption
```
IntOption timeLimitOption
```
      Allows to define the maximum number of seconds to test/train for (-1 = no limit).
- Class moa.gui.experimentertab.tasks.EvaluateInterleavedTestThenTrain extends ExperimenterTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - instanceLimitOption
```
IntOption instanceLimitOption
```
    - memCheckFrequencyOption
```
IntOption memCheckFrequencyOption
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - timeLimitOption
```
IntOption timeLimitOption
```
- Class moa.gui.experimentertab.tasks.EvaluatePeriodicHeldOutTest extends ExperimenterTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - cacheTestOption
```
FlagOption cacheTestOption
```
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - testSizeOption
```
IntOption testSizeOption
```
    - trainSizeOption
```
IntOption trainSizeOption
```
    - trainTimeOption
```
IntOption trainTimeOption
```
- Class moa.gui.experimentertab.tasks.EvaluatePrequential extends ExperimenterTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - alphaOption
```
FloatOption alphaOption
```
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - instanceLimitOption
```
IntOption instanceLimitOption
```
    - memCheckFrequencyOption
```
IntOption memCheckFrequencyOption
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - timeLimitOption
```
IntOption timeLimitOption
```
    - widthOption
```
IntOption widthOption
```
- Class moa.gui.experimentertab.tasks.EvaluatePrequentialCV extends ExperimenterTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - ensembleSizeOption
```
IntOption ensembleSizeOption
```
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - instanceLimitOption
```
IntOption instanceLimitOption
```
    - memCheckFrequencyOption
```
IntOption memCheckFrequencyOption
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - timeLimitOption
```
IntOption timeLimitOption
```
    - validationMethodologyOption
```
MultiChoiceOption validationMethodologyOption
```
- Class moa.gui.experimentertab.tasks.ExperimenterTask extends AbstractTask implements Serializable
  
  serialVersionUID:
  
  1L

Package moa.gui.outliertab

Class moa.gui.outliertab.OutlierAlgoPanel extends javax.swing.JPanel implements Serializable
- Serialized Fields
  - algorithmOption0
```
ClassOption algorithmOption0
```
  - algorithmOption1
```
ClassOption algorithmOption1
```
  - editComponents
```
java.util.List<E extends java.lang.Object> editComponents
```
  - streamOption
```
ClassOption streamOption
```

Class moa.gui.outliertab.OutlierEvalPanel extends javax.swing.JPanel implements Serializable

Serialized Fields

checkboxes

java.util.ArrayList<E extends java.lang.Object> checkboxes

contentPanel
```
javax.swing.JPanel contentPanel
```

labels

java.util.ArrayList<E extends java.lang.Object> labels

measure_classes

java.lang.Class<T extends java.lang.Object>[] measure_classes

scrollPane
```
javax.swing.JScrollPane scrollPane
```

Class moa.gui.outliertab.OutlierSetupTab extends javax.swing.JPanel implements Serializable

Serialized Fields

buttonExport
```
javax.swing.JButton buttonExport
```

buttonExportSettings

javax.swing.JButton buttonExportSettings

buttonImportSettings

javax.swing.JButton buttonImportSettings

buttonStart
```
javax.swing.JButton buttonStart
```
buttonStop
```
javax.swing.JButton buttonStop
```
buttonWeka
```
javax.swing.JButton buttonWeka
```
lastfile
```
java.lang.String lastfile
```
logPanel
```
TextViewerPanel logPanel
```
outlierAlgoPanel0
```
OutlierAlgoPanel outlierAlgoPanel0
```
outlierEvalPanel1
```
OutlierEvalPanel outlierEvalPanel1
```
outlierTab
```
OutlierTabPanel outlierTab
```

Class moa.gui.outliertab.OutlierTabPanel extends AbstractTabPanel implements Serializable
- Serialized Fields
  - jTabbedPane1
```
javax.swing.JTabbedPane jTabbedPane1
```
  - outlierSetupTab
```
OutlierSetupTab outlierSetupTab
```
  - outlierVisualTab
```
OutlierVisualTab outlierVisualTab
```

Class moa.gui.outliertab.OutlierVisualEvalPanel extends javax.swing.JPanel implements Serializable

Serialized Fields

contentPanel
```
javax.swing.JPanel contentPanel
```
labelCurrent0
```
javax.swing.JLabel labelCurrent0
```
labelDummy
```
javax.swing.JLabel labelDummy
```
labelMean0
```
javax.swing.JLabel labelMean0
```
labelMeasure
```
javax.swing.JLabel labelMeasure
```
measures0
```
MeasureCollection[] measures0
```

names

java.util.ArrayList<E extends java.lang.Object> names

radiobuttons

java.util.ArrayList<E extends java.lang.Object> radiobuttons

radioGroup
```
javax.swing.ButtonGroup radioGroup
```
scrollPane
```
javax.swing.JScrollPane scrollPane
```

values

java.util.ArrayList<E extends java.lang.Object> values

Class moa.gui.outliertab.OutlierVisualTab extends javax.swing.JPanel implements Serializable

Serialized Fields

buttonRedraw
```
javax.swing.JButton buttonRedraw
```
buttonRun
```
javax.swing.JButton buttonRun
```
buttonScreenshot
```
javax.swing.JButton buttonScreenshot
```
buttonStop
```
javax.swing.JButton buttonStop
```
buttonZoomInX
```
javax.swing.JButton buttonZoomInX
```
buttonZoomInY
```
javax.swing.JButton buttonZoomInY
```
buttonZoomOutX
```
javax.swing.JButton buttonZoomOutX
```
buttonZoomOutY
```
javax.swing.JButton buttonZoomOutY
```

checkboxDrawOutliers

javax.swing.JCheckBox checkboxDrawOutliers

checkboxDrawPoints

javax.swing.JCheckBox checkboxDrawPoints

checkboxWaitWinFull

javax.swing.JCheckBox checkboxWaitWinFull

comboX

javax.swing.JComboBox<E extends java.lang.Object> comboX

comboY

javax.swing.JComboBox<E extends java.lang.Object> comboY

exportFile
```
java.lang.String exportFile
```
graphCanvas
```
GraphCanvas graphCanvas
```
graphPanel
```
javax.swing.JPanel graphPanel
```

graphPanelControlBottom

javax.swing.JPanel graphPanelControlBottom

graphPanelControlTop
```
javax.swing.JPanel graphPanelControlTop
```

graphScrollPanel

javax.swing.JScrollPane graphScrollPanel

jLabel1
```
javax.swing.JLabel jLabel1
```
jSplitPane1
```
javax.swing.JSplitPane jSplitPane1
```

label_processed_points

javax.swing.JLabel label_processed_points

label_processed_points_value

javax.swing.JLabel label_processed_points_value

labelEvents
```
javax.swing.JLabel labelEvents
```
labelNumPause
```
javax.swing.JLabel labelNumPause
```
labelX
```
javax.swing.JLabel labelX
```
labelY
```
javax.swing.JLabel labelY
```

numPauseAfterPoints

javax.swing.JTextField numPauseAfterPoints

outlierSetupTab
```
OutlierSetupTab outlierSetupTab
```
panelControl
```
javax.swing.JPanel panelControl
```
panelEvalOutput
```
javax.swing.JPanel panelEvalOutput
```
panelVisualWrapper
```
javax.swing.JPanel panelVisualWrapper
```
running
```
java.lang.Boolean running
```
screenshotFilebase
```
java.lang.String screenshotFilebase
```
scrollPane0
```
javax.swing.JScrollPane scrollPane0
```
scrollPane1
```
javax.swing.JScrollPane scrollPane1
```
speedSlider
```
javax.swing.JSlider speedSlider
```
splitVisual
```
javax.swing.JSplitPane splitVisual
```
streamPanel0
```
StreamOutlierPanel streamPanel0
```
streamPanel1
```
StreamOutlierPanel streamPanel1
```
topWrapper
```
javax.swing.JPanel topWrapper
```
visualizer
```
RunOutlierVisualizer visualizer
```
visualizerThread
```
java.lang.Thread visualizerThread
```

Package moa.gui.visualization
- Class moa.gui.visualization.AbstractGraphAxes extends javax.swing.JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - height
```
int height
```
    - lower_x_value
```
double lower_x_value
```
    - max_x_value
```
double max_x_value
```
    - max_y_value
```
double max_y_value
```
    - min_x_value
```
double min_x_value
```
    - upper_x_value
```
double upper_x_value
```
    - upper_y_value
```
double upper_y_value
```
    - width
```
int width
```
    - x_resolution
```
double x_resolution
```
    - y_resolution
```
double y_resolution
```
- Class moa.gui.visualization.AbstractGraphCanvas extends javax.swing.JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - axesPanel
```
AbstractGraphAxes axesPanel
```
    - baseHeight
```
double baseHeight
```
    - baseWidth
```
double baseWidth
```
    - max_x_value
```
double max_x_value
```
    - max_y_value
```
double max_y_value
```
    - measures
```
MeasureCollection[] measures
```
    - measureSelected
```
int measureSelected
```
    - measureStds
```
MeasureCollection[] measureStds
```
    - min_x_value
```
double min_x_value
```
    - plotPanel
```
AbstractGraphPlot plotPanel
```
    - x_resolution
```
double x_resolution
```
    - y_resolution
```
double y_resolution
```
- Class moa.gui.visualization.AbstractGraphPlot extends javax.swing.JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - colors
```
java.awt.Color[] colors
```
    - isStandardDeviationPainted
```
boolean isStandardDeviationPainted
```
    - lower_x_value
```
double lower_x_value
```
    - max_x_value
```
double max_x_value
```
    - max_y_value
```
double max_y_value
```
    - measures
```
MeasureCollection[] measures
```
    - measureSelected
```
int measureSelected
```
    - measureStds
```
MeasureCollection[] measureStds
```
    - min_x_value
```
double min_x_value
```
    - upper_x_value
```
double upper_x_value
```
    - upper_y_value
```
double upper_y_value
```
    - x_resolution
```
double x_resolution
```
- Class moa.gui.visualization.ClusterPanel extends javax.swing.JPanel implements Serializable
  - Serialized Fields
    - center
```
double[] center
```
    - cluster
```
SphereCluster cluster
```
    - col
```
java.awt.Color col
```
    - decay_rate
```
double decay_rate
```
    - default_color
```
java.awt.Color default_color
```
    - direction
```
double[] direction
```
    - highligted
```
boolean highligted
```
    - panel_size
```
int panel_size
```
    - r
```
double r
```
    - streamPanel
```
StreamPanel streamPanel
```
    - window_size
```
int window_size
```
    - x_dim
```
int x_dim
```
    - y_dim
```
int y_dim
```
- Class moa.gui.visualization.DataPoint extends DenseInstance implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - measure_values
```
java.util.HashMap<K extends java.lang.Object,V extends java.lang.Object> measure_values
```
    - noiseLabel
```
int noiseLabel
```
    - timestamp
```
int timestamp
```
- Class moa.gui.visualization.GraphAxes extends javax.swing.JPanel implements Serializable
  - Serialized Fields
    - height
```
int height
```
    - max_value
```
double max_value
```
    - max_x_value
```
int max_x_value
```
    - min_value
```
double min_value
```
    - processFrequency
```
int processFrequency
```
    - width
```
int width
```
    - x_offset_left
```
int x_offset_left
```
    - x_offset_right
```
int x_offset_right
```
    - x_resolution
```
double x_resolution
```
    - y_offset_bottom
```
int y_offset_bottom
```
    - y_offset_top
```
int y_offset_top
```
- Class moa.gui.visualization.GraphCanvas extends javax.swing.JPanel implements Serializable
  - Serialized Fields
    - axesPanel
```
GraphAxes axesPanel
```
    - clusterEvents
```
java.util.ArrayList<E extends java.lang.Object> clusterEvents
```
    - curvePanel
```
GraphCurve curvePanel
```
    - eventCounter
```
int eventCounter
```
    - eventLabelList
```
java.util.ArrayList<E extends java.lang.Object> eventLabelList
```
    - eventPanel
```
javax.swing.JPanel eventPanel
```
    - max_x_value
```
double max_x_value
```
    - max_y_value
```
double max_y_value
```
    - measure0
```
MeasureCollection measure0
```
    - measure1
```
MeasureCollection measure1
```
    - measureSelected
```
int measureSelected
```
    - min_y_value
```
double min_y_value
```
    - processFrequency
```
int processFrequency
```
    - viewport
```
javax.swing.JViewport viewport
```
    - x_offset_left
```
int x_offset_left
```
    - x_offset_right
```
int x_offset_right
```
    - x_resolution
```
double x_resolution
```
    - y_offset_bottom
```
int y_offset_bottom
```
    - y_offset_top
```
int y_offset_top
```
    - y_resolution
```
double y_resolution
```
- Class moa.gui.visualization.GraphCurve extends javax.swing.JPanel implements Serializable
  - Serialized Fields
    - clusterEvents
```
java.util.ArrayList<E extends java.lang.Object> clusterEvents
```
    - max_value
```
double max_value
```
    - measure0
```
MeasureCollection measure0
```
    - measure1
```
MeasureCollection measure1
```
    - measureSelected
```
int measureSelected
```
    - min_value
```
double min_value
```
    - processFrequency
```
int processFrequency
```
    - x_resolution
```
double x_resolution
```
- Class moa.gui.visualization.GraphMultiCurve extends AbstractGraphPlot implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.visualization.GraphScatter extends AbstractGraphPlot implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - variedParamValues
```
double[] variedParamValues
```
- Class moa.gui.visualization.InfoPanel extends javax.swing.JPanel implements Serializable
  - Serialized Fields
    - infoFrame
```
javax.swing.JFrame infoFrame
```
    - jTextPane1
```
javax.swing.JTextPane jTextPane1
```
- Class moa.gui.visualization.OutlierPanel extends javax.swing.JPanel implements Serializable
  - Serialized Fields
    - bAntiAlias
```
boolean bAntiAlias
```
    - center
```
double[] center
```
    - cluster
```
SphereCluster cluster
```
    - col
```
java.awt.Color col
```
    - decay_rate
```
double decay_rate
```
    - default_color
```
java.awt.Color default_color
```
    - frameInfo
```
javax.swing.JDialog frameInfo
```
    - highligted
```
boolean highligted
```
    - myOutlier
```
MyBaseOutlierDetector.Outlier myOutlier
```
    - myOutlierDetector
```
MyBaseOutlierDetector myOutlierDetector
```
    - panel_size
```
int panel_size
```
    - r
```
double r
```
    - streamPanel
```
StreamOutlierPanel streamPanel
```
    - window_size
```
int window_size
```
    - x_dim
```
int x_dim
```
    - y_dim
```
int y_dim
```
- Class moa.gui.visualization.ParamGraphAxes extends AbstractGraphAxes implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.visualization.ParamGraphCanvas extends AbstractGraphCanvas implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - variedParamValues
```
double[] variedParamValues
```
- Class moa.gui.visualization.PointPanel extends javax.swing.JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - col
```
java.awt.Color col
```
    - decayRate
```
double decayRate
```
    - decayThreshold
```
double decayThreshold
```
    - default_color
```
java.awt.Color default_color
```
    - highligted
```
boolean highligted
```
    - panel_size
```
int panel_size
```
    - point
```
DataPoint point
```
    - sp
```
StreamPanel sp
```
    - type
```
int type
```
    - TYPE_CLUSTERED
```
int TYPE_CLUSTERED
```
    - TYPE_PLAIN
```
int TYPE_PLAIN
```
    - window_size
```
int window_size
```
    - x_dim
```
int x_dim
```
    - y_dim
```
int y_dim
```
- Class moa.gui.visualization.ProcessGraphAxes extends AbstractGraphAxes implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - processFrequency
```
int processFrequency
```
- Class moa.gui.visualization.ProcessGraphCanvas extends AbstractGraphCanvas implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - min_processFrequency
```
int min_processFrequency
```
    - processFrequencies
```
int[] processFrequencies
```
- Class moa.gui.visualization.StreamOutlierPanel extends javax.swing.JPanel implements Serializable
  - Serialized Fields
    - activeXDim
```
int activeXDim
```
    - activeYDim
```
int activeYDim
```
    - bAntiAlias
```
boolean bAntiAlias
```
    - canvasImg
```
java.awt.image.BufferedImage canvasImg
```
    - EVENTSIZE
```
int EVENTSIZE
```
    - height_org
```
int height_org
```
    - highlighted_outlier
```
OutlierPanel highlighted_outlier
```
    - layerAlgorithmTitle
```
moa.gui.visualization.StreamOutlierPanel.LabelAlgorithmPanel layerAlgorithmTitle
```
    - layerCanvas
```
moa.gui.visualization.StreamOutlierPanel.ImgPanel layerCanvas
```
    - layerOutliers
```
javax.swing.JPanel layerOutliers
```
    - m_outlierDetector
```
MyBaseOutlierDetector m_outlierDetector
```
    - m_visualizer
```
RunOutlierVisualizer m_visualizer
```
    - pointImg
```
java.awt.image.BufferedImage pointImg
```
    - width_org
```
int width_org
```
    - zoom
```
int zoom
```
    - zoom_factor
```
double zoom_factor
```
- Class moa.gui.visualization.StreamPanel extends javax.swing.JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - activeXDim
```
int activeXDim
```
    - activeYDim
```
int activeYDim
```
    - ANTIALIAS
```
boolean ANTIALIAS
```
    - height_org
```
int height_org
```
    - highlighted_cluster
```
ClusterPanel highlighted_cluster
```
    - layerGroundTruth
```
javax.swing.JPanel layerGroundTruth
```
    - layerMacro
```
javax.swing.JPanel layerMacro
```
    - layerMicro
```
javax.swing.JPanel layerMicro
```
    - layerPointCanvas
```
moa.gui.visualization.StreamPanel.pointCanvasPanel layerPointCanvas
```
    - layerPoints
```
javax.swing.JPanel layerPoints
```
    - pointCanvas
```
java.awt.image.BufferedImage pointCanvas
```
    - pointsVisible
```
boolean pointsVisible
```
    - width_org
```
int width_org
```
    - zoom
```
int zoom
```
    - zoom_factor
```
double zoom_factor
```
Package moa.learners
- Class moa.learners.ChangeDetectorLearner extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - driftDetectionMethod
```
ChangeDetector driftDetectionMethod
```
    - driftDetectionMethodOption
```
ClassOption driftDetectionMethodOption
```
Package moa.options
- Class moa.options.AbstractClassOption extends AbstractOption implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - currentValue
```
java.lang.Object currentValue
```
      The current object
    - defaultCLIString
```
java.lang.String defaultCLIString
```
      The default command line interface text.
    - nullString
```
java.lang.String nullString
```
      The null text.
    - requiredType
```
java.lang.Class<T extends java.lang.Object> requiredType
```
      The class type
- Class moa.options.AbstractOptionHandler extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - config
```
OptionsHandler config
```
- Class moa.options.ClassOption extends AbstractClassOption implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.options.ClassOptionWithListenerOption extends ClassOption implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - listener
```
javax.swing.event.ChangeListener listener
```
- Class moa.options.ClassOptionWithNames extends AbstractClassOption implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - names
```
java.lang.String[] names
```
- Class moa.options.DependentOptionsUpdater extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - evalTaskOption
```
ClassOptionWithListenerOption evalTaskOption
```
    - lastEvalTaskCLIString
```
java.lang.String lastEvalTaskCLIString
```
    - variedParamNameOption
```
EditableMultiChoiceOption variedParamNameOption
```
- Class moa.options.EditableMultiChoiceOption extends MultiChoiceOption implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - editComponent
```
EditableMultiChoiceOptionEditComponent editComponent
```
      The corresponding UI component
- Class moa.options.OptionsHandler extends JavaCLIParser implements Serializable
- Class moa.options.RequiredOptionNotSpecifiedException extends java.lang.Exception implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.options.WEKAClassOption extends AbstractClassOption implements Serializable
  
  serialVersionUID:
  
  1L
Package moa.recommender.data
- Class moa.recommender.data.MemRecommenderData extends AbstractOptionHandler implements Serializable
  - Serialized Fields
    - drm
```
MemRecommenderData drm
```
Package moa.recommender.dataset.impl
- Class moa.recommender.dataset.impl.FlixsterDataset extends AbstractOptionHandler implements Serializable
  - Serialized Fields
    - br
```
java.io.BufferedReader br
```
    - fileOption
```
FileOption fileOption
```
    - strLine
```
java.lang.String strLine
```
- Class moa.recommender.dataset.impl.JesterDataset extends AbstractOptionHandler implements Serializable
  - Serialized Fields
    - br
```
java.io.BufferedReader br
```
    - fileOption
```
FileOption fileOption
```
    - strLine
```
java.lang.String strLine
```
- Class moa.recommender.dataset.impl.MovielensDataset extends AbstractOptionHandler implements Serializable
  - Serialized Fields
    - br
```
java.io.BufferedReader br
```
    - fileOption
```
FileOption fileOption
```
    - strLine
```
java.lang.String strLine
```
Package moa.recommender.predictor
- Class moa.recommender.predictor.BaselinePredictor extends AbstractOptionHandler implements Serializable
  - Serialized Fields
    - dataOption
```
ClassOption dataOption
```
    - rp
```
BaselinePredictor rp
```
- Class moa.recommender.predictor.BRISMFPredictor extends AbstractOptionHandler implements Serializable
  - Serialized Fields
    - dataOption
```
ClassOption dataOption
```
    - featuresOption
```
IntOption featuresOption
```
    - iterationsOption
```
IntOption iterationsOption
```
    - lRateOption
```
FloatOption lRateOption
```
    - rFactorOption
```
FloatOption rFactorOption
```
    - rp
```
BRISMFPredictor rp
```
Package moa.recommender.rc.data
- Class moa.recommender.rc.data.AbstractRecommenderData extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -5409390358073330733L
  - Serialized Fields
    - disableUpdates
```
boolean disableUpdates
```
    - updatables
```
java.util.ArrayList<E extends java.lang.Object> updatables
```

Package moa.recommender.rc.data.impl

Class moa.recommender.rc.data.impl.MemRecommenderData extends AbstractRecommenderData implements Serializable

serialVersionUID:: 2844235954903772074L

Serialized Fields

itemsStats

java.util.Map<K extends java.lang.Object,V extends java.lang.Object> itemsStats

maxRating
```
double maxRating
```
minRating
```
double minRating
```
nItems
```
int nItems
```
nRatings
```
int nRatings
```
nUsers
```
int nUsers
```

ratingsItem

java.util.Map<K extends java.lang.Object,V extends java.lang.Object> ratingsItem

ratingsUser

java.util.Map<K extends java.lang.Object,V extends java.lang.Object> ratingsUser

sumRatings
```
double sumRatings
```

usersStats

java.util.Map<K extends java.lang.Object,V extends java.lang.Object> usersStats

Package moa.recommender.rc.predictor
Package moa.recommender.rc.predictor.impl
- Class moa.recommender.rc.predictor.impl.BaselinePredictor extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  8444152568941483368L
  - Serialized Fields
    - data
```
RecommenderData data
```
Package moa.recommender.rc.utils
- Class moa.recommender.rc.utils.DenseVector extends Vector implements Serializable
  
  serialVersionUID:
  
  -6077169543484777829L
  - Serialized Fields
    - list
```
java.util.ArrayList<E extends java.lang.Object> list
```
- Class moa.recommender.rc.utils.Pair extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -1048781440947783998L
  - Serialized Fields
    - first
```
java.lang.Comparable<T extends java.lang.Object> first
```
    - second
```
java.lang.Comparable<T extends java.lang.Object> second
```
- Class moa.recommender.rc.utils.SparseVector extends Vector implements Serializable
  
  serialVersionUID:
  
  1971022389328939125L
  - Serialized Fields
    - map
```
java.util.Map<K extends java.lang.Object,V extends java.lang.Object> map
```
- Class moa.recommender.rc.utils.Vector extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  2440314068879207731L
Package moa.streams
- Class moa.streams.ArffFileStream extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - arffFileOption
```
FileOption arffFileOption
```
    - classIndexOption
```
IntOption classIndexOption
```
    - clusterEvents
```
java.util.ArrayList<E extends java.lang.Object> clusterEvents
```
    - fileProgressMonitor
```
InputStreamProgressMonitor fileProgressMonitor
```
    - fileReader
```
java.io.Reader fileReader
```
    - hitEndOfFile
```
boolean hitEndOfFile
```
    - instances
```
Instances instances
```
    - lastInstanceRead
```
InstanceExample lastInstanceRead
```
    - numInstancesRead
```
int numInstancesRead
```
- Class moa.streams.BootstrappedStream extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - originalStream
```
MultiTargetInstanceStream originalStream
```
    - queuedInstance
```
Example<T> queuedInstance
```
    - randomGenerator
```
java.util.Random randomGenerator
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - streamOption
```
ClassOption streamOption
```
    - waitingToSend
```
int waitingToSend
```
- Class moa.streams.CachedInstancesStream extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - streamPos
```
int streamPos
```
    - toStream
```
Instances toStream
```
- Class moa.streams.ConceptDriftRealStream extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - alphaOption
```
FloatOption alphaOption
```
    - driftInstance
```
Instance driftInstance
```
    - driftStream
```
InstanceStream driftStream
```
    - driftstreamOption
```
ClassOption driftstreamOption
```
    - inputInstance
```
Instance inputInstance
```
    - inputStream
```
InstanceStream inputStream
```
    - numberInstanceStream
```
int numberInstanceStream
```
    - positionOption
```
IntOption positionOption
```
    - random
```
java.util.Random random
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - streamHeader
```
InstancesHeader streamHeader
```
    - streamOption
```
ClassOption streamOption
```
    - widthOption
```
IntOption widthOption
```
- Class moa.streams.ConceptDriftStream extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - alphaOption
```
FloatOption alphaOption
```
    - driftStream
```
ExampleStream<E extends Example> driftStream
```
    - driftstreamOption
```
ClassOption driftstreamOption
```
    - inputStream
```
ExampleStream<E extends Example> inputStream
```
    - numberInstanceStream
```
int numberInstanceStream
```
    - positionOption
```
IntOption positionOption
```
    - random
```
java.util.Random random
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - streamOption
```
ClassOption streamOption
```
    - widthOption
```
IntOption widthOption
```
- Class moa.streams.FilteredStream extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - filterChain
```
ExampleStream<E extends Example> filterChain
```
    - filtersOption
```
ClassOption filtersOption
```
    - streamOption
```
ClassOption streamOption
```
- Class moa.streams.ImbalancedStream extends AbstractOptionHandler implements Serializable
  - Serialized Fields
    - classRatioOption
```
StringOption classRatioOption
```
    - instanceRandomSeedOption
```
IntOption instanceRandomSeedOption
```
    - instancesBuffer
```
Instances[] instancesBuffer
```
    - numClasses
```
int numClasses
```
    - originalStream
```
ExampleStream<E extends Example> originalStream
```
    - probPerClass
```
double[] probPerClass
```
    - random
```
java.util.Random random
```
    - streamOption
```
ClassOption streamOption
```
- Class moa.streams.IrrelevantFeatureAppenderStream extends AbstractOptionHandler implements Serializable
  - Serialized Fields
    - instanceRandomSeedOption
```
IntOption instanceRandomSeedOption
```
    - newHeader
```
InstancesHeader newHeader
```
      The header with the new features appended.
    - numCategoricalFeaturesOption
```
IntOption numCategoricalFeaturesOption
```
    - numNumericFeaturesOption
```
IntOption numNumericFeaturesOption
```
    - numValuesCategoricalFeatureOption
```
IntOption numValuesCategoricalFeatureOption
```
    - originalStream
```
ExampleStream<E extends Example> originalStream
```
      The original stream.
    - random
```
java.util.Random random
```
      A pseudo-random number generator.
    - streamOption
```
ClassOption streamOption
```
- Class moa.streams.MultiFilteredStream extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - filterChain
```
ExampleStream<E extends Example> filterChain
```
    - filtersOption
```
ListOption filtersOption
```
    - streamOption
```
ClassOption streamOption
```
- Class moa.streams.MultiLabelFilteredStream extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - filterChain
```
ExampleStream<E extends Example> filterChain
```
    - filtersOption
```
ClassOption filtersOption
```
    - streamOption
```
ClassOption streamOption
```
- Class moa.streams.MultiTargetArffFileStream extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - arffFileOption
```
FileOption arffFileOption
```
    - fileProgressMonitor
```
InputStreamProgressMonitor fileProgressMonitor
```
    - fileReader
```
java.io.Reader fileReader
```
    - hitEndOfFile
```
boolean hitEndOfFile
```
    - instances
```
Instances instances
```
    - lastInstanceRead
```
InstanceExample lastInstanceRead
```
    - numInstancesRead
```
int numInstancesRead
```
    - outputAttributesOption
```
RangeOption outputAttributesOption
```
- Class moa.streams.PartitioningStream extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - baseStream
```
ExampleStream<E extends Example> baseStream
```
    - numPartitions
```
int numPartitions
```
    - numPartitionsOption
```
IntOption numPartitionsOption
```
    - partitionIndex
```
int partitionIndex
```
    - partitionIndexOption
```
IntOption partitionIndexOption
```
    - random
```
java.util.Random random
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - streamOption
```
ClassOption streamOption
```
- Class moa.streams.RecurrentConceptDriftStream extends ConceptDriftStream implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - numRepOption
```
IntOption numRepOption
```
    - stabPeriodOption
```
IntOption stabPeriodOption
```
    - widthRecurrenceOption
```
IntOption widthRecurrenceOption
```

Package moa.streams.clustering

Class moa.streams.clustering.ClusterEvent extends java.util.EventObject implements Serializable
- Serialized Fields
  - message
```
java.lang.String message
```
  - timestamp
```
long timestamp
```
  - type
```
java.lang.String type
```
Class moa.streams.clustering.ClusteringStream extends AbstractOptionHandler implements Serializable
- Serialized Fields
  - decayHorizonOption
```
IntOption decayHorizonOption
```
  - decayThresholdOption
```
FloatOption decayThresholdOption
```
  - evaluationFrequencyOption
```
IntOption evaluationFrequencyOption
```
  - numAttsOption
```
IntOption numAttsOption
```

Class moa.streams.clustering.FileStream extends ClusteringStream implements Serializable

serialVersionUID:: 1L

Serialized Fields

arffFileOption
```
FileOption arffFileOption
```
classIndexOption
```
IntOption classIndexOption
```
defaultfile
```
java.lang.String defaultfile
```

fileProgressMonitor

InputStreamProgressMonitor fileProgressMonitor

fileReader
```
java.io.Reader fileReader
```
filteredDataset
```
Instances filteredDataset
```
hitEndOfFile
```
boolean hitEndOfFile
```
instances
```
Instances instances
```
keepNonNumericalAttrOption
```
FlagOption keepNonNumericalAttrOption
```
lastInstanceRead
```
InstanceExample lastInstanceRead
```
normalizeOption
```
FlagOption normalizeOption
```
numInstancesRead
```
int numInstancesRead
```
removeAttributes
```
java.lang.Integer[] removeAttributes
```
removeAttributesOption
```
ListOption removeAttributesOption
```

valuesMinMaxDiff

java.util.ArrayList<E extends java.lang.Object> valuesMinMaxDiff

Class moa.streams.clustering.RandomRBFGeneratorEvents extends ClusteringStream implements Serializable

serialVersionUID:: 1L

Serialized Fields

clusterIdCounter
```
int clusterIdCounter
```
debug
```
boolean debug
```
densityRangeOption
```
FloatOption densityRangeOption
```
eventDeleteCreateOption
```
FlagOption eventDeleteCreateOption
```
eventFrequencyOption
```
IntOption eventFrequencyOption
```
eventFrequencyRange
```
double eventFrequencyRange
```
eventMergeSplitOption
```
FlagOption eventMergeSplitOption
```
instanceRandom
```
java.util.Random instanceRandom
```
instanceRandomSeedOption
```
IntOption instanceRandomSeedOption
```
kernelMovePointFrequency
```
int kernelMovePointFrequency
```
kernelRadiiOption
```
FloatOption kernelRadiiOption
```
kernelRadiiRangeOption
```
FloatOption kernelRadiiRangeOption
```
kernels
```
AutoExpandVector<T> kernels
```
maxDistanceMoveThresholdByStep
```
double maxDistanceMoveThresholdByStep
```
maxOverlapFitRuns
```
int maxOverlapFitRuns
```
merge_threshold
```
double merge_threshold
```

mergeClusterA

moa.streams.clustering.RandomRBFGeneratorEvents.GeneratorCluster mergeClusterA

mergeClusterB

moa.streams.clustering.RandomRBFGeneratorEvents.GeneratorCluster mergeClusterB

mergeKernelsOverlapping
```
boolean mergeKernelsOverlapping
```
modelRandomSeedOption
```
IntOption modelRandomSeedOption
```
nextEventChoice
```
int nextEventChoice
```
nextEventCounter
```
int nextEventCounter
```
noiseInClusterOption
```
FlagOption noiseInClusterOption
```
noiseLevelOption
```
FloatOption noiseLevelOption
```
numActiveKernels
```
int numActiveKernels
```
numClusterOption
```
IntOption numClusterOption
```
numClusterRangeOption
```
IntOption numClusterRangeOption
```
numGeneratedInstances
```
int numGeneratedInstances
```
speedOption
```
IntOption speedOption
```
speedRangeOption
```
IntOption speedRangeOption
```
streamHeader
```
InstancesHeader streamHeader
```

Class moa.streams.clustering.SimpleCSVStream extends ClusteringStream implements Serializable

serialVersionUID:: 1L

Serialized Fields

classIndexOption
```
FlagOption classIndexOption
```
csvFileOption
```
FileOption csvFileOption
```
dataset
```
Instances dataset
```
defaultfile
```
java.lang.String defaultfile
```

fileProgressMonitor

InputStreamProgressMonitor fileProgressMonitor

fileReader
```
java.io.BufferedReader fileReader
```
hitEndOfFile
```
boolean hitEndOfFile
```
lastInstanceRead
```
InstanceExample lastInstanceRead
```
numAttributes
```
int numAttributes
```
numInstancesRead
```
int numInstancesRead
```
numTokens
```
int numTokens
```
splitCharOption
```
StringOption splitCharOption
```

Package moa.streams.filters
- Class moa.streams.filters.AbstractMultiLabelStreamFilter extends AbstractOptionHandler implements Serializable
  - Serialized Fields
    - inputStream
```
ExampleStream<E extends Example> inputStream
```
      The input stream to this filter.
- Class moa.streams.filters.AbstractStreamFilter extends AbstractOptionHandler implements Serializable
  - Serialized Fields
    - inputStream
```
ExampleStream<E extends Example> inputStream
```
      The input stream to this filter.
- Class moa.streams.filters.AddNoiseFilter extends AbstractStreamFilter implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - attNoiseFractionOption
```
FloatOption attNoiseFractionOption
```
    - attValObservers
```
AutoExpandVector<T> attValObservers
```
    - classNoiseFractionOption
```
FloatOption classNoiseFractionOption
```
    - random
```
java.util.Random random
```
    - randomSeedOption
```
IntOption randomSeedOption
```
- Class moa.streams.filters.RBFFilter extends AbstractStreamFilter implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - c
```
double[] c
```
    - dataset
```
InstancesHeader dataset
```
    - numLatentOption
```
IntOption numLatentOption
```
    - r
```
double[] r
```
    - random
```
java.util.Random random
```
    - randomSeedOption
```
IntOption randomSeedOption
```
- Class moa.streams.filters.ReLUFilter extends AbstractStreamFilter implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - dataset
```
InstancesHeader dataset
```
    - H
```
int H
```
    - numLatentOption
```
IntOption numLatentOption
```
    - random
```
java.util.Random random
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - W
```
double[][] W
```
- Class moa.streams.filters.RemoveDiscreteAttributeFilter extends AbstractStreamFilter implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - numericAttributes
```
java.util.List<E extends java.lang.Object> numericAttributes
```
    - streamHeader
```
InstancesHeader streamHeader
```
- Class moa.streams.filters.ReplacingMissingValuesFilter extends AbstractStreamFilter implements Serializable
  
  serialVersionUID:
  
  1470772215201414815L
  - Serialized Fields
    - columnsStatistics
```
double[] columnsStatistics
```
    - frequencies
```
java.util.HashMap<K extends java.lang.Object,V extends java.lang.Object>[] frequencies
```
    - lastNominalValues
```
double[] lastNominalValues
```
    - nominalReplacementStrategyOption
```
MultiChoiceOption nominalReplacementStrategyOption
```
    - nominalSelectedStrategy
```
int nominalSelectedStrategy
```
    - numAttributes
```
int numAttributes
```
    - numberOfSamples
```
long[] numberOfSamples
```
    - numericalConstantValueOption
```
FloatOption numericalConstantValueOption
```
    - numericalSelectedStrategy
```
int numericalSelectedStrategy
```
    - numericReplacementStrategyOption
```
MultiChoiceOption numericReplacementStrategyOption
```
- Class moa.streams.filters.SelectAttributesFilter extends AbstractMultiLabelStreamFilter implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - dataset
```
InstancesHeader dataset
```
    - inputsSelected
```
Selection inputsSelected
```
    - inputStringOption
```
StringOption inputStringOption
```
    - outputsSelected
```
Selection outputsSelected
```
    - outputStringOption
```
StringOption outputStringOption
```
Package moa.streams.generators
- Class moa.streams.generators.AgrawalGenerator extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - balanceClassesOption
```
FlagOption balanceClassesOption
```
    - functionOption
```
IntOption functionOption
```
    - instanceRandom
```
java.util.Random instanceRandom
```
    - instanceRandomSeedOption
```
IntOption instanceRandomSeedOption
```
    - nextClassShouldBeZero
```
boolean nextClassShouldBeZero
```
    - peturbFractionOption
```
FloatOption peturbFractionOption
```
    - streamHeader
```
InstancesHeader streamHeader
```
- Class moa.streams.generators.AssetNegotiationGenerator extends AbstractOptionHandler implements Serializable
  - Serialized Fields
    - classFunction
```
AssetNegotiationGenerator.ClassFunction classFunction
```
    - functionOption
```
IntOption functionOption
```
    - instanceRandom
```
java.util.Random instanceRandom
```
    - instanceRandomSeedOption
```
IntOption instanceRandomSeedOption
```
    - nextClassShouldBeZero
```
boolean nextClassShouldBeZero
```
    - noisePercentage
```
FloatOption noisePercentage
```
    - streamHeader
```
InstancesHeader streamHeader
```
- Class moa.streams.generators.HyperplaneGenerator extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - instanceRandom
```
java.util.Random instanceRandom
```
    - instanceRandomSeedOption
```
IntOption instanceRandomSeedOption
```
    - magChangeOption
```
FloatOption magChangeOption
```
    - noisePercentageOption
```
IntOption noisePercentageOption
```
    - numAttsOption
```
IntOption numAttsOption
```
    - numberInstance
```
int numberInstance
```
    - numClassesOption
```
IntOption numClassesOption
```
    - numDriftAttsOption
```
IntOption numDriftAttsOption
```
    - sigma
```
int[] sigma
```
    - sigmaPercentageOption
```
IntOption sigmaPercentageOption
```
    - streamHeader
```
InstancesHeader streamHeader
```
    - weights
```
double[] weights
```
- Class moa.streams.generators.LEDGenerator extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - instanceRandom
```
java.util.Random instanceRandom
```
    - instanceRandomSeedOption
```
IntOption instanceRandomSeedOption
```
    - noisePercentageOption
```
IntOption noisePercentageOption
```
    - streamHeader
```
InstancesHeader streamHeader
```
    - suppressIrrelevantAttributesOption
```
FlagOption suppressIrrelevantAttributesOption
```
- Class moa.streams.generators.LEDGeneratorDrift extends LEDGenerator implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - numberAttribute
```
int[] numberAttribute
```
    - numberAttributesDriftOption
```
IntOption numberAttributesDriftOption
```
- Class moa.streams.generators.MixedGenerator extends AbstractOptionHandler implements Serializable
  - Serialized Fields
    - balanceClassesOption
```
FlagOption balanceClassesOption
```
    - functionOption
```
IntOption functionOption
```
    - instanceRandom
```
java.util.Random instanceRandom
```
    - instanceRandomSeedOption
```
IntOption instanceRandomSeedOption
```
    - nextClassShouldBeZero
```
boolean nextClassShouldBeZero
```
    - streamHeader
```
InstancesHeader streamHeader
```
- Class moa.streams.generators.RandomRBFGenerator extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - centroids
```
RandomRBFGenerator.Centroid[] centroids
```
    - centroidWeights
```
double[] centroidWeights
```
    - instanceRandom
```
java.util.Random instanceRandom
```
    - instanceRandomSeedOption
```
IntOption instanceRandomSeedOption
```
    - modelRandomSeedOption
```
IntOption modelRandomSeedOption
```
    - numAttsOption
```
IntOption numAttsOption
```
    - numCentroidsOption
```
IntOption numCentroidsOption
```
    - numClassesOption
```
IntOption numClassesOption
```
    - streamHeader
```
InstancesHeader streamHeader
```
- Class moa.streams.generators.RandomRBFGenerator.Centroid extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - centre
```
double[] centre
```
    - classLabel
```
int classLabel
```
    - stdDev
```
double stdDev
```
- Class moa.streams.generators.RandomRBFGeneratorDrift extends RandomRBFGenerator implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - numDriftCentroidsOption
```
IntOption numDriftCentroidsOption
```
    - speedCentroids
```
double[][] speedCentroids
```
    - speedChangeOption
```
FloatOption speedChangeOption
```
- Class moa.streams.generators.RandomTreeGenerator extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - firstLeafLevelOption
```
IntOption firstLeafLevelOption
```
    - instanceRandom
```
java.util.Random instanceRandom
```
    - instanceRandomSeedOption
```
IntOption instanceRandomSeedOption
```
    - leafFractionOption
```
FloatOption leafFractionOption
```
    - maxTreeDepthOption
```
IntOption maxTreeDepthOption
```
    - numClassesOption
```
IntOption numClassesOption
```
    - numNominalsOption
```
IntOption numNominalsOption
```
    - numNumericsOption
```
IntOption numNumericsOption
```
    - numValsPerNominalOption
```
IntOption numValsPerNominalOption
```
    - streamHeader
```
InstancesHeader streamHeader
```
    - treeRandomSeedOption
```
IntOption treeRandomSeedOption
```
    - treeRoot
```
RandomTreeGenerator.Node treeRoot
```
- Class moa.streams.generators.RandomTreeGenerator.Node extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - children
```
RandomTreeGenerator.Node[] children
```
    - classLabel
```
int classLabel
```
    - splitAttIndex
```
int splitAttIndex
```
    - splitAttValue
```
double splitAttValue
```
- Class moa.streams.generators.SEAGenerator extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - balanceClassesOption
```
FlagOption balanceClassesOption
```
    - functionOption
```
IntOption functionOption
```
    - instanceRandom
```
java.util.Random instanceRandom
```
    - instanceRandomSeedOption
```
IntOption instanceRandomSeedOption
```
    - nextClassShouldBeZero
```
boolean nextClassShouldBeZero
```
    - noisePercentageOption
```
IntOption noisePercentageOption
```
    - numInstancesConcept
```
IntOption numInstancesConcept
```
    - streamHeader
```
InstancesHeader streamHeader
```
- Class moa.streams.generators.SineGenerator extends AbstractOptionHandler implements Serializable
  - Serialized Fields
    - balanceClassesOption
```
FlagOption balanceClassesOption
```
    - functionOption
```
IntOption functionOption
```
    - instanceRandom
```
java.util.Random instanceRandom
```
    - instanceRandomSeedOption
```
IntOption instanceRandomSeedOption
```
    - nextClassShouldBeZero
```
boolean nextClassShouldBeZero
```
    - streamHeader
```
InstancesHeader streamHeader
```
    - suppressIrrelevantAttributesOption
```
FlagOption suppressIrrelevantAttributesOption
```
- Class moa.streams.generators.STAGGERGenerator extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - balanceClassesOption
```
FlagOption balanceClassesOption
```
    - functionOption
```
IntOption functionOption
```
    - instanceRandom
```
java.util.Random instanceRandom
```
    - instanceRandomSeedOption
```
IntOption instanceRandomSeedOption
```
    - nextClassShouldBeZero
```
boolean nextClassShouldBeZero
```
    - streamHeader
```
InstancesHeader streamHeader
```
- Class moa.streams.generators.TextGenerator extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  3028905554604259131L
  - Serialized Fields
    - classTwitterGenerator
```
int[] classTwitterGenerator
```
    - countTweets
```
int countTweets
```
    - freqTwitterGenerator
```
double[] freqTwitterGenerator
```
    - instanceRandom
```
java.util.Random instanceRandom
```
    - instanceRandomSeedOption
```
IntOption instanceRandomSeedOption
```
    - lengthTweet
```
double lengthTweet
```
    - numAttsOption
```
IntOption numAttsOption
```
    - probNegative
```
double probNegative
```
    - probPositive
```
double probPositive
```
    - sizeTable
```
int sizeTable
```
    - streamHeader
```
InstancesHeader streamHeader
```
    - sumFreqTwitterGenerator
```
double[] sumFreqTwitterGenerator
```
    - wordTwitterGenerator
```
int[] wordTwitterGenerator
```
    - zipfExponent
```
double zipfExponent
```
- Class moa.streams.generators.WaveformGenerator extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - addNoiseOption
```
FlagOption addNoiseOption
```
    - instanceRandom
```
java.util.Random instanceRandom
```
    - instanceRandomSeedOption
```
IntOption instanceRandomSeedOption
```
    - streamHeader
```
InstancesHeader streamHeader
```
- Class moa.streams.generators.WaveformGeneratorDrift extends WaveformGenerator implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - numberAttribute
```
int[] numberAttribute
```
    - numberAttributesDriftOption
```
IntOption numberAttributesDriftOption
```
Package moa.streams.generators.cd
- Class moa.streams.generators.cd.AbruptChangeGenerator extends AbstractConceptDriftGenerator implements Serializable
- Class moa.streams.generators.cd.AbstractConceptDriftGenerator extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - change
```
boolean change
```
    - clusterEvents
```
java.util.ArrayList<E extends java.lang.Object> clusterEvents
```
    - instanceRandom
```
java.util.Random instanceRandom
```
    - instanceRandomSeedOption
```
IntOption instanceRandomSeedOption
```
    - notBinaryStreamOption
```
FlagOption notBinaryStreamOption
```
    - numInstances
```
int numInstances
```
    - numInstancesConceptOption
```
IntOption numInstancesConceptOption
```
    - period
```
int period
```
    - streamHeader
```
InstancesHeader streamHeader
```
- Class moa.streams.generators.cd.GradualChangeGenerator extends AbstractConceptDriftGenerator implements Serializable
  - Serialized Fields
    - changeDriftOption
```
FloatOption changeDriftOption
```
- Class moa.streams.generators.cd.NoChangeGenerator extends AbstractConceptDriftGenerator implements Serializable
Package moa.streams.generators.multilabel
- Class moa.streams.generators.multilabel.MetaMultilabelGenerator extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - binaryGeneratorOption
```
ClassOption binaryGeneratorOption
```
    - Conditional
```
double[][] Conditional
```
    - labelCardinalityOption
```
FloatOption labelCardinalityOption
```
    - labelCardinalityRatioOption
```
FloatOption labelCardinalityRatioOption
```
    - labelCardinalityVarOption
```
FloatOption labelCardinalityVarOption
```
    - labelDependencyChangeRatioOption
```
FloatOption labelDependencyChangeRatioOption
```
    - m_A
```
int m_A
```
    - m_BinaryGenerator
```
InstanceStream m_BinaryGenerator
```
    - m_L
```
int m_L
```
    - m_MetaRandom
```
java.util.Random m_MetaRandom
```
    - m_MultilabelInstancesHeader
```
MultilabelInstancesHeader m_MultilabelInstancesHeader
```
    - m_TopCombinations
```
java.util.HashSet<E extends java.lang.Object>[] m_TopCombinations
```
    - metaRandomSeedOption
```
IntOption metaRandomSeedOption
```
    - multilabelStreamTemplate
```
Instances multilabelStreamTemplate
```
    - numLabelsOption
```
IntOption numLabelsOption
```
    - priors
```
double[] priors
```
    - priors_norm
```
double[] priors_norm
```
    - queue
```
java.util.LinkedList<E extends java.lang.Object>[] queue
```
      GetNextWithBinary. Get the next instance with binary class i
    - skewOption
```
IntOption skewOption
```
- Class moa.streams.generators.multilabel.MultilabelArffFileStream extends ArffFileStream implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - numLabelsOption
```
IntOption numLabelsOption
```
Package moa.tasks
- Class moa.tasks.AbstractTask extends AbstractOptionHandler implements Serializable
- Class moa.tasks.AuxiliarMainTask extends MainTask implements Serializable
  - Serialized Fields
    - events
```
java.util.ArrayList<E extends java.lang.Object> events
```
- Class moa.tasks.CacheShuffledStream extends AbstractTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - maximumCacheSizeOption
```
IntOption maximumCacheSizeOption
```
    - shuffleRandomSeedOption
```
IntOption shuffleRandomSeedOption
```
    - streamOption
```
ClassOption streamOption
```
- Class moa.tasks.ClassificationMainTask extends MainTask implements Serializable
  - Serialized Fields
    - events
```
java.util.ArrayList<E extends java.lang.Object> events
```
- Class moa.tasks.ConceptDriftMainTask extends MainTask implements Serializable
  - Serialized Fields
    - events
```
java.util.ArrayList<E extends java.lang.Object> events
```
- Class moa.tasks.EvaluateClustering extends AuxiliarMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - cmmOption
```
FlagOption cmmOption
```
    - dumpFileOption
```
FileOption dumpFileOption
```
    - entropyOption
```
FlagOption entropyOption
```
    - f1Option
```
FlagOption f1Option
```
    - generalEvalOption
```
FlagOption generalEvalOption
```
    - instanceLimitOption
```
IntOption instanceLimitOption
```
    - learnerOption
```
ClassOption learnerOption
```
    - separationOption
```
FlagOption separationOption
```
    - silhouetteOption
```
FlagOption silhouetteOption
```
    - ssqOption
```
FlagOption ssqOption
```
    - statisticalOption
```
FlagOption statisticalOption
```
    - streamOption
```
ClassOption streamOption
```
- Class moa.tasks.EvaluateConceptDrift extends ConceptDriftMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - dumpFileOption
```
FileOption dumpFileOption
```
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - instanceLimitOption
```
IntOption instanceLimitOption
```
    - learnerOption
```
ClassOption learnerOption
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - streamOption
```
ClassOption streamOption
```
    - timeLimitOption
```
IntOption timeLimitOption
```
- Class moa.tasks.EvaluateInterleavedChunks extends ClassificationMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - chunkSizeOption
```
IntOption chunkSizeOption
```
      Allow to define the training/testing chunk size.
    - dumpFileOption
```
FileOption dumpFileOption
```
      Allows to define the output file name and location.
    - evaluatorOption
```
ClassOption evaluatorOption
```
      Allows to select the classifier performance evaluation method.
    - instanceLimitOption
```
IntOption instanceLimitOption
```
      Allows to define the maximum number of instances to test/train on (-1 = no limit).
    - learnerOption
```
ClassOption learnerOption
```
      Allows to select the trained classifier.
    - maxMemoryOption
```
IntOption maxMemoryOption
```
      Allows to define the memory limit for the created model.
    - memCheckFrequencyOption
```
IntOption memCheckFrequencyOption
```
      Allows to define the frequency of memory checks.
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
      Defines how often classifier parameters will be calculated.
    - streamOption
```
ClassOption streamOption
```
      Allows to select the stream the classifier will learn.
    - timeLimitOption
```
IntOption timeLimitOption
```
      Allows to define the maximum number of seconds to test/train for (-1 = no limit).
- Class moa.tasks.EvaluateInterleavedTestThenTrain extends ClassificationMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - dumpFileOption
```
FileOption dumpFileOption
```
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - instanceLimitOption
```
IntOption instanceLimitOption
```
    - learnerOption
```
ClassOption learnerOption
```
    - memCheckFrequencyOption
```
IntOption memCheckFrequencyOption
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - streamOption
```
ClassOption streamOption
```
    - timeLimitOption
```
IntOption timeLimitOption
```
- Class moa.tasks.EvaluateModel extends ClassificationMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - maxInstancesOption
```
IntOption maxInstancesOption
```
    - modelOption
```
ClassOption modelOption
```
    - outputPredictionFileOption
```
FileOption outputPredictionFileOption
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - streamOption
```
ClassOption streamOption
```
- Class moa.tasks.EvaluateModelMultiLabel extends MultiLabelMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - maxInstancesOption
```
IntOption maxInstancesOption
```
    - modelOption
```
ClassOption modelOption
```
    - outputPredictionFileOption
```
FileOption outputPredictionFileOption
```
    - streamOption
```
ClassOption streamOption
```
- Class moa.tasks.EvaluateModelMultiTarget extends MultiTargetMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - maxInstancesOption
```
IntOption maxInstancesOption
```
    - modelOption
```
ClassOption modelOption
```
    - outputPredictionFileOption
```
FileOption outputPredictionFileOption
```
    - streamOption
```
ClassOption streamOption
```
- Class moa.tasks.EvaluateModelRegression extends RegressionMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - maxInstancesOption
```
IntOption maxInstancesOption
```
    - modelOption
```
ClassOption modelOption
```
    - outputPredictionFileOption
```
FileOption outputPredictionFileOption
```
    - streamOption
```
ClassOption streamOption
```
- Class moa.tasks.EvaluateMultipleClusterings extends AuxiliarMainTask implements Serializable
  
  serialVersionUID:
  
  4846907962483608940L
  - Serialized Fields
    - cmmOption
```
FlagOption cmmOption
```
    - defaultfile
```
java.lang.String defaultfile
```
    - dumpFileOption
```
FileOption dumpFileOption
```
    - entropyOption
```
FlagOption entropyOption
```
    - f1Option
```
FlagOption f1Option
```
    - generalEvalOption
```
FlagOption generalEvalOption
```
    - learnerOption
```
ClassOption learnerOption
```
    - mergeResultsOption
```
FlagOption mergeResultsOption
```
    - numStreamsOption
```
IntOption numStreamsOption
```
    - separationOption
```
FlagOption separationOption
```
    - silhouetteOption
```
FlagOption silhouetteOption
```
    - ssqOption
```
FlagOption ssqOption
```
    - statisticalOption
```
FlagOption statisticalOption
```
    - streamOption
```
ClassOption streamOption
```
    - task
```
EvaluateClustering task
```
- Class moa.tasks.EvaluateOnlineRecommender extends AuxiliarMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - datasetOption
```
ClassOption datasetOption
```
    - ratingPredictorOption
```
ClassOption ratingPredictorOption
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
- Class moa.tasks.EvaluatePeriodicHeldOutTest extends ClassificationMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - cacheTestOption
```
FlagOption cacheTestOption
```
    - dumpFileOption
```
FileOption dumpFileOption
```
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - learnerOption
```
ClassOption learnerOption
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - streamOption
```
ClassOption streamOption
```
    - testSizeOption
```
IntOption testSizeOption
```
    - trainSizeOption
```
IntOption trainSizeOption
```
    - trainTimeOption
```
IntOption trainTimeOption
```
- Class moa.tasks.EvaluatePrequential extends ClassificationMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - alphaOption
```
FloatOption alphaOption
```
    - dumpFileOption
```
FileOption dumpFileOption
```
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - instanceLimitOption
```
IntOption instanceLimitOption
```
    - learnerOption
```
ClassOption learnerOption
```
    - memCheckFrequencyOption
```
IntOption memCheckFrequencyOption
```
    - outputPredictionFileOption
```
FileOption outputPredictionFileOption
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - streamOption
```
ClassOption streamOption
```
    - timeLimitOption
```
IntOption timeLimitOption
```
    - widthOption
```
IntOption widthOption
```
- Class moa.tasks.EvaluatePrequentialCV extends ClassificationMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - dumpFileOption
```
FileOption dumpFileOption
```
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - instanceLimitOption
```
IntOption instanceLimitOption
```
    - learnerOption
```
ClassOption learnerOption
```
    - memCheckFrequencyOption
```
IntOption memCheckFrequencyOption
```
    - numFoldsOption
```
IntOption numFoldsOption
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - streamOption
```
ClassOption streamOption
```
    - timeLimitOption
```
IntOption timeLimitOption
```
    - validationMethodologyOption
```
MultiChoiceOption validationMethodologyOption
```
- Class moa.tasks.EvaluatePrequentialDelayed extends ClassificationMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - alphaOption
```
FloatOption alphaOption
```
    - delayLengthOption
```
IntOption delayLengthOption
```
    - dumpFileOption
```
FileOption dumpFileOption
```
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - initialWindowSizeOption
```
IntOption initialWindowSizeOption
```
    - instanceLimitOption
```
IntOption instanceLimitOption
```
    - learnerOption
```
ClassOption learnerOption
```
    - memCheckFrequencyOption
```
IntOption memCheckFrequencyOption
```
    - outputPredictionFileOption
```
FileOption outputPredictionFileOption
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - streamOption
```
ClassOption streamOption
```
    - timeLimitOption
```
IntOption timeLimitOption
```
    - trainInBatches
```
FlagOption trainInBatches
```
    - trainInstances
```
java.util.LinkedList<E extends java.lang.Object> trainInstances
```
    - trainOnInitialWindowOption
```
FlagOption trainOnInitialWindowOption
```
    - widthOption
```
IntOption widthOption
```
- Class moa.tasks.EvaluatePrequentialDelayedCV extends ClassificationMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - delayLengthOption
```
IntOption delayLengthOption
```
    - dumpFileOption
```
FileOption dumpFileOption
```
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - instanceLimitOption
```
IntOption instanceLimitOption
```
    - learnerOption
```
ClassOption learnerOption
```
    - memCheckFrequencyOption
```
IntOption memCheckFrequencyOption
```
    - numFoldsOption
```
IntOption numFoldsOption
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - streamOption
```
ClassOption streamOption
```
    - timeLimitOption
```
IntOption timeLimitOption
```
    - trainInstances
```
java.util.LinkedList<E extends java.lang.Object> trainInstances
```
    - validationMethodologyOption
```
MultiChoiceOption validationMethodologyOption
```
- Class moa.tasks.EvaluatePrequentialMultiLabel extends MultiLabelMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - alphaOption
```
FloatOption alphaOption
```
    - dumpFileOption
```
FileOption dumpFileOption
```
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - instanceLimitOption
```
IntOption instanceLimitOption
```
    - learnerOption
```
ClassOption learnerOption
```
    - memCheckFrequencyOption
```
IntOption memCheckFrequencyOption
```
    - outputPredictionFileOption
```
FileOption outputPredictionFileOption
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - streamOption
```
ClassOption streamOption
```
    - timeLimitOption
```
IntOption timeLimitOption
```
    - widthOption
```
IntOption widthOption
```
- Class moa.tasks.EvaluatePrequentialMultiTarget extends MultiTargetMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - alphaOption
```
FloatOption alphaOption
```
    - dumpFileOption
```
FileOption dumpFileOption
```
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - instanceLimitOption
```
IntOption instanceLimitOption
```
    - learnerOption
```
ClassOption learnerOption
```
    - memCheckFrequencyOption
```
IntOption memCheckFrequencyOption
```
    - outputPredictionFileOption
```
FileOption outputPredictionFileOption
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - streamOption
```
ClassOption streamOption
```
    - timeLimitOption
```
IntOption timeLimitOption
```
    - widthOption
```
IntOption widthOption
```
- Class moa.tasks.EvaluatePrequentialMultiTargetSemiSuper extends MultiTargetMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - alphaOption
```
FloatOption alphaOption
```
    - dbInitialModelPercentage
```
FloatOption dbInitialModelPercentage
```
    - dumpFileOption
```
FileOption dumpFileOption
```
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - instanceLimitOption
```
IntOption instanceLimitOption
```
    - learnerOption
```
ClassOption learnerOption
```
    - memCheckFrequencyOption
```
IntOption memCheckFrequencyOption
```
    - outputPredictionFileOption
```
FileOption outputPredictionFileOption
```
    - runSeed
```
IntOption runSeed
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - slidingWindowSize
```
IntOption slidingWindowSize
```
    - slidingWindowStep
```
IntOption slidingWindowStep
```
    - streamOption
```
ClassOption streamOption
```
    - timeLimitOption
```
IntOption timeLimitOption
```
    - unlabeledPercentage
```
FloatOption unlabeledPercentage
```
    - widthOption
```
IntOption widthOption
```
- Class moa.tasks.EvaluatePrequentialRegression extends RegressionMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - alphaOption
```
FloatOption alphaOption
```
    - dumpFileOption
```
FileOption dumpFileOption
```
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - instanceLimitOption
```
IntOption instanceLimitOption
```
    - learnerOption
```
ClassOption learnerOption
```
    - memCheckFrequencyOption
```
IntOption memCheckFrequencyOption
```
    - outputPredictionFileOption
```
FileOption outputPredictionFileOption
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - streamOption
```
ClassOption streamOption
```
    - timeLimitOption
```
IntOption timeLimitOption
```
    - widthOption
```
IntOption widthOption
```
- Class moa.tasks.FailedTaskReport extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - failureReason
```
java.lang.Throwable failureReason
```
- Class moa.tasks.LearnModel extends ClassificationMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learnerOption
```
ClassOption learnerOption
```
    - maxInstancesOption
```
IntOption maxInstancesOption
```
    - memCheckFrequencyOption
```
IntOption memCheckFrequencyOption
```
    - numPassesOption
```
IntOption numPassesOption
```
    - streamOption
```
ClassOption streamOption
```
- Class moa.tasks.LearnModelMultiLabel extends MultiLabelMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learnerOption
```
ClassOption learnerOption
```
    - maxInstancesOption
```
IntOption maxInstancesOption
```
    - memCheckFrequencyOption
```
IntOption memCheckFrequencyOption
```
    - numPassesOption
```
IntOption numPassesOption
```
    - streamOption
```
ClassOption streamOption
```
- Class moa.tasks.LearnModelMultiTarget extends MultiTargetMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learnerOption
```
ClassOption learnerOption
```
    - maxInstancesOption
```
IntOption maxInstancesOption
```
    - memCheckFrequencyOption
```
IntOption memCheckFrequencyOption
```
    - numPassesOption
```
IntOption numPassesOption
```
    - streamOption
```
ClassOption streamOption
```
- Class moa.tasks.LearnModelRegression extends RegressionMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learnerOption
```
ClassOption learnerOption
```
    - maxInstancesOption
```
IntOption maxInstancesOption
```
    - memCheckFrequencyOption
```
IntOption memCheckFrequencyOption
```
    - numPassesOption
```
IntOption numPassesOption
```
    - streamOption
```
ClassOption streamOption
```
- Class moa.tasks.MainTask extends AbstractTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - outputFileOption
```
FileOption outputFileOption
```
      File option to save the final result of the task to.
- Class moa.tasks.MeasureStreamSpeed extends AuxiliarMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - generateSizeOption
```
IntOption generateSizeOption
```
    - streamOption
```
ClassOption streamOption
```
- Class moa.tasks.MultiLabelMainTask extends MainTask implements Serializable
  - Serialized Fields
    - events
```
java.util.ArrayList<E extends java.lang.Object> events
```
- Class moa.tasks.MultiTargetMainTask extends MainTask implements Serializable
  - Serialized Fields
    - events
```
java.util.ArrayList<E extends java.lang.Object> events
```
- Class moa.tasks.Plot extends MainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - additionalPlotOption
```
StringOption additionalPlotOption
```
      Additional plot options. For example \"[] [0:]\" will force the y-axis to start from 0. See the gnuplot manual for more options.
    - additionalSetOption
```
StringOption additionalSetOption
```
      Addition pre-plot gunplot commands. For example "set tics out" will change the default tic option and force outward facing tics. See the gnuplot manual for more commands.
    - deleteScriptsOption
```
FlagOption deleteScriptsOption
```
      Determines whether to delete gnuplot scripts after plotting.
    - fileAliasesOption
```
ListOption fileAliasesOption
```
      Comma separated list of aliases for the input *csv files. If a legend is added to the plot, aliases will be presented in the legend.
    - gnuplotPathOption
```
StringOption gnuplotPathOption
```
      Path to gunplot's binary directory, for example C:\Tools\Gnuplot\binary.
    - inputFilesOption
```
ListOption inputFilesOption
```
      Comma separated list of input *csv files. The file paths can be absolute or relative to the executing directory (moa.jar directory).
    - legendLocationOption
```
MultiChoiceOption legendLocationOption
```
      Legend (key) location on the plot.
    - legendTypeOption
```
MultiChoiceOption legendTypeOption
```
      Legend elements' alignment.
    - lineWidthOption
```
IntOption lineWidthOption
```
      Plotted line width.
    - outputTypeOption
```
MultiChoiceOption outputTypeOption
```
      Gnuplot terminal - postscript, png, pdf etc.
    - plotOutputOption
```
FileOption plotOutputOption
```
      FileOption for selecting the plot output file.
    - plotStyleOption
```
MultiChoiceOption plotStyleOption
```
      Type of plot - dots, points, lines ets.
    - pointIntervalOption
```
IntOption pointIntervalOption
```
      Interval between plotted data points.
    - smoothOption
```
FlagOption smoothOption
```
      Determines whether to smooth the plot with bezier curves.
    - xColumnOption
```
IntOption xColumnOption
```
      Index of the csv column from which values for the x-axis should be taken.
    - xTitleOption
```
StringOption xTitleOption
```
      Title of the plots' x-axis.
    - xUnitOption
```
StringOption xUnitOption
```
      Units displayed next to x-axis values.
    - yColumnOption
```
IntOption yColumnOption
```
      Index of the csv column from which values for the y-axis should be taken.
    - yTitleOption
```
StringOption yTitleOption
```
      Title of the plots' y-axis.
    - yUnitOption
```
StringOption yUnitOption
```
      Units displayed next to y-axis values.
- Class moa.tasks.RegressionMainTask extends MainTask implements Serializable
  - Serialized Fields
    - events
```
java.util.ArrayList<E extends java.lang.Object> events
```
- Class moa.tasks.RunStreamTasks extends ConceptDriftMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - firstValueOption
```
FloatOption firstValueOption
```
    - incrementValueOption
```
FloatOption incrementValueOption
```
    - lastValueOption
```
FloatOption lastValueOption
```
    - streamParameterOption
```
StringOption streamParameterOption
```
    - task
```
Task task
```
    - taskOption
```
ClassOption taskOption
```
- Class moa.tasks.RunTasks extends AuxiliarMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - classifierParameterOption
```
StringOption classifierParameterOption
```
    - firstValueOption
```
FloatOption firstValueOption
```
    - incrementValueOption
```
FloatOption incrementValueOption
```
    - lastValueOption
```
FloatOption lastValueOption
```
    - task
```
Task task
```
    - taskOption
```
ClassOption taskOption
```
- Class moa.tasks.WriteMultipleStreamsToARFF extends AuxiliarMainTask implements Serializable
  
  serialVersionUID:
  
  4687495597494400174L
  - Serialized Fields
    - arffFileOption
```
FileOption arffFileOption
```
    - maxInstancesOption
```
IntOption maxInstancesOption
```
    - numStreamsOption
```
IntOption numStreamsOption
```
    - randomFlagOne
```
FlagOption randomFlagOne
```
    - randomFlagTwo
```
FlagOption randomFlagTwo
```
    - randomOneOption
```
StringOption randomOneOption
```
    - randomTwoOption
```
StringOption randomTwoOption
```
    - stream
```
InstanceStream stream
```
    - streamOption
```
ClassOption streamOption
```
    - suppressHeaderOption
```
FlagOption suppressHeaderOption
```
- Class moa.tasks.WriteStreamToARFFFile extends AuxiliarMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - arffFileOption
```
FileOption arffFileOption
```
    - maxInstancesOption
```
IntOption maxInstancesOption
```
    - streamOption
```
ClassOption streamOption
```
    - suppressHeaderOption
```
FlagOption suppressHeaderOption
```
Package moa.tasks.meta
- Class moa.tasks.meta.ALMainTask extends MetaMainTask implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.tasks.meta.ALMultiParamTask extends ALMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - flattenedSubtaskThreads
```
java.util.ArrayList<E extends java.lang.Object> flattenedSubtaskThreads
```
    - partitionIdx
```
int partitionIdx
```
    - prequentialEvaluationTaskOption
```
ClassOptionWithListenerOption prequentialEvaluationTaskOption
```
    - subTaskColorCoding
```
java.awt.Color[] subTaskColorCoding
```
    - subtasks
```
java.util.ArrayList<E extends java.lang.Object> subtasks
```
    - subtaskThreads
```
java.util.ArrayList<E extends java.lang.Object> subtaskThreads
```
    - variedParamNameOption
```
EditableMultiChoiceOption variedParamNameOption
```
    - variedParamValuesOption
```
ListOption variedParamValuesOption
```
- Class moa.tasks.meta.ALPartitionEvaluationTask extends ALMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - flattenedSubtaskThreads
```
java.util.ArrayList<E extends java.lang.Object> flattenedSubtaskThreads
```
    - multiParamTaskOption
```
ClassOption multiParamTaskOption
```
    - numPartitionsOption
```
IntOption numPartitionsOption
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - subtaskThreads
```
java.util.ArrayList<E extends java.lang.Object> subtaskThreads
```
- Class moa.tasks.meta.ALPrequentialEvaluationTask extends ALMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - dumpFileOption
```
FileOption dumpFileOption
```
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - instanceLimitOption
```
IntOption instanceLimitOption
```
    - learnerOption
```
ClassOption learnerOption
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - streamOption
```
ClassOption streamOption
```
    - timeLimitOption
```
IntOption timeLimitOption
```
- Class moa.tasks.meta.MetaMainTask extends MainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - colorCoding
```
java.awt.Color colorCoding
```
    - isLastSubtaskOnLevel
```
boolean[] isLastSubtaskOnLevel
```
    - nameSuffix
```
java.lang.String nameSuffix
```
Package weka.classifiers.meta
- Class weka.classifiers.meta.AdaBoostM1 extends weka.classifiers.RandomizableIteratedSingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  -1178107808933117974L
  - Serialized Fields
    - m_Betas
```
double[] m_Betas
```
    - m_NumClasses
```
int m_NumClasses
```
    - m_NumIterationsPerformed
```
int m_NumIterationsPerformed
```
    - m_RandomInstance
```
java.util.Random m_RandomInstance
```
    - m_TrainingData
```
weka.core.Instances m_TrainingData
```
    - m_UseResampling
```
boolean m_UseResampling
```
    - m_WeightThreshold
```
int m_WeightThreshold
```
    - m_ZeroR
```
weka.classifiers.Classifier m_ZeroR
```
- Class weka.classifiers.meta.AdditiveRegression extends weka.classifiers.IteratedSingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  -2368937577670527151L
  - Serialized Fields
    - m_Classifiers
```
java.util.ArrayList<E extends java.lang.Object> m_Classifiers
```
    - m_Data
```
weka.core.Instances m_Data
```
    - m_Diff
```
double m_Diff
```
    - m_Error
```
double m_Error
```
    - m_InitialPrediction
```
double m_InitialPrediction
```
    - m_MinimizeAbsoluteError
```
boolean m_MinimizeAbsoluteError
```
    - m_shrinkage
```
double m_shrinkage
```
    - m_SuitableData
```
boolean m_SuitableData
```
- Class weka.classifiers.meta.AttributeSelectedClassifier extends weka.classifiers.SingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  -1151805453487947577L
  - Serialized Fields
    - m_AttributeSelection
```
weka.attributeSelection.AttributeSelection m_AttributeSelection
```
    - m_Evaluator
```
weka.attributeSelection.ASEvaluation m_Evaluator
```
    - m_numAttributesSelected
```
double m_numAttributesSelected
```
    - m_numClasses
```
int m_numClasses
```
    - m_ReducedHeader
```
weka.core.Instances m_ReducedHeader
```
    - m_Search
```
weka.attributeSelection.ASSearch m_Search
```
    - m_selectionTime
```
double m_selectionTime
```
    - m_totalTime
```
double m_totalTime
```
- Class weka.classifiers.meta.Bagging extends weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  -115879962237199703L
  - Serialized Fields
    - m_BagSizePercent
```
int m_BagSizePercent
```
    - m_CalcOutOfBag
```
boolean m_CalcOutOfBag
```
    - m_classifiersCache
```
java.util.List<E extends java.lang.Object> m_classifiersCache
```
    - m_data
```
weka.core.Instances m_data
```
    - m_inBag
```
boolean[][] m_inBag
```
    - m_Numeric
```
boolean m_Numeric
```
    - m_OutOfBagEvaluationObject
```
weka.classifiers.evaluation.Evaluation m_OutOfBagEvaluationObject
```
    - m_OutputOutOfBagComplexityStatistics
```
boolean m_OutputOutOfBagComplexityStatistics
```
    - m_printClassifiers
```
boolean m_printClassifiers
```
    - m_random
```
java.util.Random m_random
```
    - m_RepresentUsingWeights
```
boolean m_RepresentUsingWeights
```
    - m_StoreOutOfBagPredictions
```
boolean m_StoreOutOfBagPredictions
```
- Class weka.classifiers.meta.ClassificationViaRegression extends weka.classifiers.SingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  4500023123618669859L
  - Serialized Fields
    - m_ClassFilters
```
weka.filters.unsupervised.attribute.MakeIndicator[] m_ClassFilters
```
    - m_Classifiers
```
weka.classifiers.Classifier[] m_Classifiers
```
- Class weka.classifiers.meta.CostSensitiveClassifier extends weka.classifiers.RandomizableSingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  -110658209263002404L
  - Serialized Fields
    - m_CostFile
```
java.lang.String m_CostFile
```
    - m_CostMatrix
```
weka.classifiers.CostMatrix m_CostMatrix
```
    - m_MatrixSource
```
int m_MatrixSource
```
    - m_MinimizeExpectedCost
```
boolean m_MinimizeExpectedCost
```
    - m_OnDemandDirectory
```
java.io.File m_OnDemandDirectory
```
- Class weka.classifiers.meta.CVParameterSelection extends weka.classifiers.RandomizableSingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  -6529603380876641265L
  - Serialized Fields
    - m_BestClassifierOptions
```
java.lang.String[] m_BestClassifierOptions
```
    - m_BestPerformance
```
double m_BestPerformance
```
    - m_ClassifierOptions
```
java.lang.String[] m_ClassifierOptions
```
    - m_CVParams
```
java.util.Vector<E extends java.lang.Object> m_CVParams
```
    - m_InitOptions
```
java.lang.String[] m_InitOptions
```
    - m_NumAttributes
```
int m_NumAttributes
```
    - m_NumFolds
```
int m_NumFolds
```
    - m_TrainFoldSize
```
int m_TrainFoldSize
```
- Class weka.classifiers.meta.CVParameterSelection.CVParameter extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -4668812017709421953L
  - Serialized Fields
    - m_AddAtEnd
```
boolean m_AddAtEnd
```
    - m_Lower
```
double m_Lower
```
    - m_ParamChar
```
java.lang.String m_ParamChar
```
    - m_ParamValue
```
double m_ParamValue
```
    - m_RoundParam
```
boolean m_RoundParam
```
    - m_Steps
```
double m_Steps
```
    - m_Upper
```
double m_Upper
```
- Class weka.classifiers.meta.FilteredClassifier extends weka.classifiers.RandomizableSingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  -4523450618538717400L
  - Serialized Fields
    - m_DoNotCheckForModifiedClassAttribute
```
boolean m_DoNotCheckForModifiedClassAttribute
```
    - m_Filter
```
weka.filters.Filter m_Filter
```
    - m_FilteredInstances
```
weka.core.Instances m_FilteredInstances
```
    - m_ReorderFiltered
```
weka.filters.unsupervised.attribute.Reorder m_ReorderFiltered
```
    - m_ReorderOriginal
```
weka.filters.unsupervised.attribute.Reorder m_ReorderOriginal
```
- Class weka.classifiers.meta.IterativeClassifierOptimizer extends weka.classifiers.RandomizableClassifier implements Serializable
  
  serialVersionUID:
  
  -3665485256313525864L
  - Serialized Fields
    - m_bestNumIts
```
int m_bestNumIts
```
    - m_bestResult
```
double m_bestResult
```
    - m_classValueIndex
```
int m_classValueIndex
```
    - m_evalMetric
```
java.lang.String m_evalMetric
```
    - m_IterativeClassifier
```
weka.classifiers.IterativeClassifier m_IterativeClassifier
```
    - m_lookAheadIterations
```
int m_lookAheadIterations
```
    - m_NumFolds
```
int m_NumFolds
```
    - m_NumRuns
```
int m_NumRuns
```
    - m_numThreads
```
int m_numThreads
```
    - m_poolSize
```
int m_poolSize
```
    - m_preserveOrderInPercentageSplitEvaluation
```
boolean m_preserveOrderInPercentageSplitEvaluation
```
    - m_splitPercentage
```
double m_splitPercentage
```
    - m_StepSize
```
int m_StepSize
```
    - m_thresholds
```
double[] m_thresholds
```
    - m_UseAverage
```
boolean m_UseAverage
```
- Class weka.classifiers.meta.LogitBoost extends weka.classifiers.RandomizableIteratedSingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  -1105660358715833753L
  - Serialized Fields
    - m_ClassAttribute
```
weka.core.Attribute m_ClassAttribute
```
    - m_Classifiers
```
java.util.ArrayList<E extends java.lang.Object> m_Classifiers
```
    - m_data
```
weka.core.Instances m_data
```
    - m_InitialFs
```
double[] m_InitialFs
```
    - m_logLikelihood
```
double m_logLikelihood
```
    - m_NumClasses
```
int m_NumClasses
```
    - m_NumericClassData
```
weka.core.Instances m_NumericClassData
```
    - m_NumGenerated
```
int m_NumGenerated
```
    - m_numThreads
```
int m_numThreads
```
    - m_Offset
```
double m_Offset
```
    - m_poolSize
```
int m_poolSize
```
    - m_Precision
```
double m_Precision
```
    - m_probs
```
double[][] m_probs
```
    - m_RandomInstance
```
java.util.Random m_RandomInstance
```
    - m_Shrinkage
```
double m_Shrinkage
```
    - m_sumOfWeights
```
double m_sumOfWeights
```
    - m_trainFs
```
double[][] m_trainFs
```
    - m_trainYs
```
double[][] m_trainYs
```
    - m_UseEstimatedPriors
```
boolean m_UseEstimatedPriors
```
    - m_UseResampling
```
boolean m_UseResampling
```
    - m_WeightThreshold
```
int m_WeightThreshold
```
    - m_ZeroR
```
weka.classifiers.Classifier m_ZeroR
```
    - m_zMax
```
double m_zMax
```
- Class weka.classifiers.meta.MOA extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  2605797948130310166L
  - Serialized Fields
    - instanceConverter
```
WekaToSamoaInstanceConverter instanceConverter
```
    - m_ActualClassifier
```
Classifier m_ActualClassifier
```
      the actual moa classifier to use for learning.
    - m_Classifier
```
ClassOption m_Classifier
```
      the moa classifier option (this object is used in the GenericObjectEditor).
- Class weka.classifiers.meta.MultiClassClassifier extends weka.classifiers.RandomizableSingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  -3879602011542849141L
  - Serialized Fields
    - m_ClassAttribute
```
weka.core.Attribute m_ClassAttribute
```
    - m_ClassFilters
```
weka.filters.Filter[] m_ClassFilters
```
    - m_Classifiers
```
weka.classifiers.Classifier[] m_Classifiers
```
    - m_logLossDecoding
```
boolean m_logLossDecoding
```
    - m_Method
```
int m_Method
```
    - m_pairwiseCoupling
```
boolean m_pairwiseCoupling
```
    - m_RandomWidthFactor
```
double m_RandomWidthFactor
```
    - m_SumOfWeights
```
double[] m_SumOfWeights
```
    - m_TwoClassDataset
```
weka.core.Instances m_TwoClassDataset
```
    - m_ZeroR
```
weka.classifiers.rules.ZeroR m_ZeroR
```
- Class weka.classifiers.meta.MultiClassClassifierUpdateable extends weka.classifiers.meta.MultiClassClassifier implements Serializable
  
  serialVersionUID:
  
  -1619685269774366430L
- Class weka.classifiers.meta.MultiScheme extends weka.classifiers.RandomizableMultipleClassifiersCombiner implements Serializable
  
  serialVersionUID:
  
  5710744346128957520L
  - Serialized Fields
    - m_Classifier
```
weka.classifiers.Classifier m_Classifier
```
    - m_ClassifierIndex
```
int m_ClassifierIndex
```
    - m_NumXValFolds
```
int m_NumXValFolds
```
- Class weka.classifiers.meta.MultiSearch extends weka.classifiers.RandomizableSingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  -5129316523575906233L
  - Serialized Fields
    - m_Algorithm
```
weka.classifiers.meta.multisearch.AbstractSearch m_Algorithm
```
    - m_BestClassifier
```
weka.classifiers.meta.multisearch.AbstractSearch.SearchResult m_BestClassifier
```
    - m_ClassLabel
```
weka.core.SingleIndex m_ClassLabel
```
    - m_DefaultParameters
```
weka.core.setupgenerator.AbstractParameter[] m_DefaultParameters
```
    - m_Evaluation
```
int m_Evaluation
```
    - m_Factory
```
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 extends java.lang.Object> m_Factory
```
    - m_Generator
```
weka.core.SetupGenerator m_Generator
```
    - m_LogFile
```
java.io.File m_LogFile
```
    - m_Metrics
```
weka.classifiers.meta.multisearch.AbstractEvaluationMetrics m_Metrics
```
    - m_Parameters
```
weka.core.setupgenerator.AbstractParameter[] m_Parameters
```
    - m_Trace
```
java.util.List<E extends java.lang.Object> m_Trace
```
- Class weka.classifiers.meta.RandomCommittee extends weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  -9204394360557300093L
  - Serialized Fields
    - m_data
```
weka.core.Instances m_data
```
- Class weka.classifiers.meta.RandomizableFilteredClassifier extends weka.classifiers.meta.FilteredClassifier implements Serializable
  
  serialVersionUID:
  
  -4523466618555717333L
- Class weka.classifiers.meta.RandomSubSpace extends weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  1278172513912424947L
  - Serialized Fields
    - m_data
```
weka.core.Instances m_data
```
    - m_SubSpaceSize
```
double m_SubSpaceSize
```
    - m_ZeroR
```
weka.classifiers.Classifier m_ZeroR
```
- Class weka.classifiers.meta.RegressionByDiscretization extends weka.classifiers.SingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  5066426153134050378L
  - Serialized Fields
    - m_ClassCounts
```
int[] m_ClassCounts
```
    - m_ClassMeans
```
double[] m_ClassMeans
```
    - m_DeleteEmptyBins
```
boolean m_DeleteEmptyBins
```
    - m_DiscretizedHeader
```
weka.core.Instances m_DiscretizedHeader
```
    - m_Discretizer
```
weka.filters.unsupervised.attribute.Discretize m_Discretizer
```
    - m_Estimator
```
weka.estimators.UnivariateDensityEstimator m_Estimator
```
    - m_MinimizeAbsoluteError
```
boolean m_MinimizeAbsoluteError
```
    - m_NewTargetValues
```
int[] m_NewTargetValues
```
    - m_NumBins
```
int m_NumBins
```
    - m_OldIndexToNewIndex
```
int[] m_OldIndexToNewIndex
```
    - m_OriginalTargetValues
```
double[] m_OriginalTargetValues
```
    - m_UseEqualFrequency
```
boolean m_UseEqualFrequency
```
- Class weka.classifiers.meta.Stacking extends weka.classifiers.RandomizableParallelMultipleClassifiersCombiner implements Serializable
  
  serialVersionUID:
  
  5134738557155845452L
  - Serialized Fields
    - m_BaseFormat
```
weka.core.Instances m_BaseFormat
```
    - m_MetaClassifier
```
weka.classifiers.Classifier m_MetaClassifier
```
    - m_MetaFormat
```
weka.core.Instances m_MetaFormat
```
    - m_NumFolds
```
int m_NumFolds
```
- Class weka.classifiers.meta.Vote extends weka.classifiers.RandomizableMultipleClassifiersCombiner implements Serializable
  
  serialVersionUID:
  
  -637891196294399624L
  - Serialized Fields
    - m_classifiersToLoad
```
java.util.List<E extends java.lang.Object> m_classifiersToLoad
```
    - m_CombinationRule
```
int m_CombinationRule
```
    - m_dontPrintModels
```
boolean m_dontPrintModels
```
    - m_preBuiltClassifiers
```
java.util.List<E extends java.lang.Object> m_preBuiltClassifiers
```
    - m_structure
```
weka.core.Instances m_structure
```
- Class weka.classifiers.meta.WeightedInstancesHandlerWrapper extends weka.classifiers.RandomizableSingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  2980789213434466135L
  - Serialized Fields
    - m_ForceResampleWithWeights
```
boolean m_ForceResampleWithWeights
```
Package weka.core
- Class weka.core.AbstractInstance extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1482635194499365155L
  - Serialized Fields
    - m_AttValues
```
double[] m_AttValues
```
    - m_Dataset
```
weka.core.Instances m_Dataset
```
    - m_Weight
```
double m_Weight
```
- Class weka.core.AlgVector extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -4023736016850256591L
  - Serialized Fields
    - m_Elements
```
double[] m_Elements
```
- Class weka.core.Attribute extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -742180568732916383L
  - Serialized Fields
    - m_AttributeInfo
```
weka.core.AttributeInfo m_AttributeInfo
```
    - m_AttributeMetaInfo
```
weka.core.AttributeMetaInfo m_AttributeMetaInfo
```
    - m_Index
```
int m_Index
```
    - m_Name
```
java.lang.String m_Name
```
    - m_Type
```
int m_Type
```
    - m_Weight
```
double m_Weight
```
- Class weka.core.AttributeLocator extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -2932848827681070345L
  - Serialized Fields
    - m_AllowedIndices
```
int[] m_AllowedIndices
```
    - m_Attributes
```
java.util.BitSet m_Attributes
```
    - m_Data
```
weka.core.Instances m_Data
```
    - m_Indices
```
int[] m_Indices
```
    - m_LocatorIndices
```
int[] m_LocatorIndices
```
    - m_Locators
```
java.util.ArrayList<E extends java.lang.Object> m_Locators
```
    - m_Type
```
int m_Type
```
- Class weka.core.AttributeMetaInfo extends java.lang.Object implements Serializable
  - Serialized Fields
    - m_HasZeropoint
```
boolean m_HasZeropoint
```
    - m_IsAveragable
```
boolean m_IsAveragable
```
    - m_IsRegular
```
boolean m_IsRegular
```
    - m_LowerBound
```
double m_LowerBound
```
    - m_LowerBoundIsOpen
```
boolean m_LowerBoundIsOpen
```
    - m_Metadata
```
weka.core.ProtectedProperties m_Metadata
```
    - m_Ordering
```
int m_Ordering
```
    - m_UpperBound
```
double m_UpperBound
```
    - m_UpperBoundIsOpen
```
boolean m_UpperBoundIsOpen
```
- Class weka.core.AttributeStats extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4434688832743939380L
  - Serialized Fields
    - distinctCount
```
int distinctCount
```
    - intCount
```
int intCount
```
    - missingCount
```
int missingCount
```
    - nominalCounts
```
int[] nominalCounts
```
    - nominalWeights
```
double[] nominalWeights
```
    - numericStats
```
weka.experiment.Stats numericStats
```
    - realCount
```
int realCount
```
    - totalCount
```
int totalCount
```
    - uniqueCount
```
int uniqueCount
```
- Class weka.core.BinarySparseInstance extends weka.core.SparseInstance implements Serializable
  
  serialVersionUID:
  
  -5297388762342528737L
- Class weka.core.Capabilities extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -5478590032325567849L
  - Serialized Fields
    - m_AttributeTest
```
boolean m_AttributeTest
```
    - m_Capabilities
```
java.util.HashSet<E extends java.lang.Object> m_Capabilities
```
    - m_Dependencies
```
java.util.HashSet<E extends java.lang.Object> m_Dependencies
```
    - m_FailReason
```
java.lang.Exception m_FailReason
```
    - m_InstancesTest
```
boolean m_InstancesTest
```
    - m_InterfaceDefinedCapabilities
```
java.util.HashSet<E extends java.lang.Object> m_InterfaceDefinedCapabilities
```
    - m_MinimumNumberInstances
```
int m_MinimumNumberInstances
```
    - m_MinimumNumberInstancesTest
```
boolean m_MinimumNumberInstancesTest
```
    - m_MissingClassValuesTest
```
boolean m_MissingClassValuesTest
```
    - m_MissingValuesTest
```
boolean m_MissingValuesTest
```
    - m_Owner
```
weka.core.CapabilitiesHandler m_Owner
```
    - m_Test
```
boolean m_Test
```
- Class weka.core.ChebyshevDistance extends weka.core.NormalizableDistance implements Serializable
  
  serialVersionUID:
  
  -7739904999895461429L
- Class weka.core.DateAttributeInfo extends java.lang.Object implements Serializable
  - Serialized Fields
    - m_DateFormat
```
java.text.SimpleDateFormat m_DateFormat
```
- Class weka.core.Debug extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  66171861743328020L
  - Serialized Fields
    - m_Clock
```
weka.core.Debug.Clock m_Clock
```
    - m_Enabled
```
boolean m_Enabled
```
    - m_Log
```
weka.core.Debug.Log m_Log
```
- Class weka.core.Debug.Clock extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  4622161807307942201L
  - Serialized Fields
    - m_CanMeasureCpuTime
```
boolean m_CanMeasureCpuTime
```
    - m_OutputFormat
```
int m_OutputFormat
```
    - m_Running
```
boolean m_Running
```
    - m_Start
```
long m_Start
```
    - m_Stop
```
long m_Stop
```
    - m_ThreadID
```
long m_ThreadID
```
    - m_UseCpuTime
```
boolean m_UseCpuTime
```
- Class weka.core.Debug.DBO extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -5245628124742606784L
  - Serialized Fields
    - m_outputTypes
```
weka.core.Range m_outputTypes
```
    - m_verboseOn
```
boolean m_verboseOn
```
- Class weka.core.Debug.Log extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1458435732111675823L
  - Serialized Fields
    - m_Filename
```
java.lang.String m_Filename
```
    - m_LoggerInitFailed
```
boolean m_LoggerInitFailed
```
    - m_NumFiles
```
int m_NumFiles
```
    - m_Size
```
int m_Size
```
- Class weka.core.Debug.Random extends java.util.Random implements Serializable
  
  serialVersionUID:
  
  1256846887618333956L
  - Serialized Fields
    - m_Debug
```
boolean m_Debug
```
    - m_ID
```
long m_ID
```
    - m_Log
```
weka.core.Debug.Log m_Log
```
- Class weka.core.Debug.SimpleLog extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -2671928223819510830L
  - Serialized Fields
    - m_Filename
```
java.lang.String m_Filename
```
- Class weka.core.Debug.Timestamp extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -6099868388466922753L
  - Serialized Fields
    - m_Format
```
java.lang.String m_Format
```
    - m_Formatter
```
java.text.SimpleDateFormat m_Formatter
```
    - m_Stamp
```
java.util.Date m_Stamp
```
- Class weka.core.Defaults extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  1061521489520308096L
  - Serialized Fields
    - m_defaults
```
java.util.Map<K extends java.lang.Object,V extends java.lang.Object> m_defaults
```
    - m_defaultsID
```
java.lang.String m_defaultsID
```
- Class weka.core.DenseInstance extends weka.core.AbstractInstance implements Serializable
  
  serialVersionUID:
  
  1482635194499365122L
- Class weka.core.DictionaryBuilder extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  5579506627960356012L
  - Serialized Fields
    - m_avgDocLength
```
double m_avgDocLength
```
    - m_classIndex
```
int m_classIndex
```
    - m_consolidatedDict
```
java.util.Map<K extends java.lang.Object,V extends java.lang.Object> m_consolidatedDict
```
    - m_count
```
int m_count
```
    - m_dictsPerClass
```
java.util.Map<K extends java.lang.Object,V extends java.lang.Object>[] m_dictsPerClass
```
    - m_docLengthSum
```
double m_docLengthSum
```
    - m_doNotOperateOnPerClassBasis
```
boolean m_doNotOperateOnPerClassBasis
```
    - m_IDFTransform
```
boolean m_IDFTransform
```
    - m_inputContainsStringAttributes
```
boolean m_inputContainsStringAttributes
```
    - m_inputFormat
```
weka.core.Instances m_inputFormat
```
    - m_lowerCaseTokens
```
boolean m_lowerCaseTokens
```
    - m_minFrequency
```
int m_minFrequency
```
    - m_normalize
```
boolean m_normalize
```
    - m_numClasses
```
int m_numClasses
```
    - m_outputCounts
```
boolean m_outputCounts
```
    - m_outputFormat
```
weka.core.Instances m_outputFormat
```
    - m_periodicPruneRate
```
long m_periodicPruneRate
```
    - m_Prefix
```
java.lang.String m_Prefix
```
    - m_selectedRange
```
weka.core.Range m_selectedRange
```
    - m_sortDictionary
```
boolean m_sortDictionary
```
    - m_stemmer
```
weka.core.stemmers.Stemmer m_stemmer
```
    - m_stopwordsHandler
```
weka.core.stopwords.StopwordsHandler m_stopwordsHandler
```
    - m_TFTransform
```
boolean m_TFTransform
```
    - m_tokenizer
```
weka.core.tokenizers.Tokenizer m_tokenizer
```
    - m_wordsToKeep
```
int m_wordsToKeep
```
- Class weka.core.EnvironmentProperties extends java.util.Properties implements Serializable
- Class weka.core.EuclideanDistance extends weka.core.NormalizableDistance implements Serializable
  
  serialVersionUID:
  
  1068606253458807903L
- Class weka.core.FastVector extends java.util.ArrayList<E extends java.lang.Object> implements Serializable
  
  serialVersionUID:
  
  -2173635135622930169L
- Class weka.core.FilteredDistance extends java.lang.Object implements Serializable
  - Serialized Fields
    - m_Distance
```
weka.core.DistanceFunction m_Distance
```
    - m_Filter
```
weka.filters.Filter m_Filter
```
    - m_Remove
```
weka.filters.unsupervised.attribute.Remove m_Remove
```
- Class weka.core.InstanceComparator extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -6589278678230949683L
  - Serialized Fields
    - m_IncludeClass
```
boolean m_IncludeClass
```
    - m_Range
```
weka.core.Range m_Range
```
- Class weka.core.Instances extends java.util.AbstractList<weka.core.Instance> implements Serializable
  
  serialVersionUID:
  
  -19412345060742748L
  - Serialized Fields
    - m_Attributes
```
java.util.ArrayList<E extends java.lang.Object> m_Attributes
```
    - m_ClassIndex
```
int m_ClassIndex
```
    - m_Instances
```
java.util.ArrayList<E extends java.lang.Object> m_Instances
```
    - m_Lines
```
int m_Lines
```
    - m_NamesToAttributeIndices
```
java.util.HashMap<K extends java.lang.Object,V extends java.lang.Object> m_NamesToAttributeIndices
```
    - m_RelationName
```
java.lang.String m_RelationName
```
- Class weka.core.ManhattanDistance extends weka.core.NormalizableDistance implements Serializable
  
  serialVersionUID:
  
  6783782554224000243L
- Class weka.core.Matrix extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -3604757095849145838L
  - Serialized Fields
    - m_Matrix
```
weka.core.matrix.Matrix m_Matrix
```
      Deprecated.
- Class weka.core.MinkowskiDistance extends weka.core.NormalizableDistance implements Serializable
  
  serialVersionUID:
  
  -7446019339455453893L
  - Serialized Fields
    - m_Order
```
double m_Order
```
- Class weka.core.NominalAttributeInfo extends java.lang.Object implements Serializable
  - Serialized Fields
    - m_Hashtable
```
java.util.Hashtable<K extends java.lang.Object,V extends java.lang.Object> m_Hashtable
```
    - m_Values
```
java.util.ArrayList<E extends java.lang.Object> m_Values
```
- Class weka.core.NormalizableDistance extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -2806520224161351708L
  - Serialized Fields
    - m_ActiveIndices
```
boolean[] m_ActiveIndices
```
    - m_AttributeIndices
```
weka.core.Range m_AttributeIndices
```
    - m_Data
```
weka.core.Instances m_Data
```
    - m_DontNormalize
```
boolean m_DontNormalize
```
    - m_Ranges
```
double[][] m_Ranges
```
    - m_Validated
```
boolean m_Validated
```
- Class weka.core.NoSupportForMissingValuesException extends weka.core.WekaException implements Serializable
  
  serialVersionUID:
  
  5161175307725893973L
- Class weka.core.ProtectedProperties extends java.util.Properties implements Serializable
  
  serialVersionUID:
  
  3876658672657323985L
  - Serialized Fields
    - closed
```
boolean closed
```
- Class weka.core.Queue extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -1141282001146389780L
  - Serialized Fields
    - m_Head
```
weka.core.Queue.QueueNode m_Head
```
    - m_Size
```
int m_Size
```
    - m_Tail
```
weka.core.Queue.QueueNode m_Tail
```
- Class weka.core.Queue.QueueNode extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -5119358279412097455L
  - Serialized Fields
    - m_Contents
```
java.lang.Object m_Contents
```
    - m_Next
```
weka.core.Queue.QueueNode m_Next
```
- Class weka.core.RandomVariates extends java.util.Random implements Serializable
  
  serialVersionUID:
  
  -4763742718209460354L
- Class weka.core.Range extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  3667337062176835900L
  - Serialized Fields
    - m_Invert
```
boolean m_Invert
```
    - m_RangeStrings
```
java.util.ArrayList<E extends java.lang.Object> m_RangeStrings
```
    - m_SelectFlags
```
boolean[] m_SelectFlags
```
    - m_Upper
```
int m_Upper
```
- Class weka.core.RelationalAttributeInfo extends weka.core.NominalAttributeInfo implements Serializable
  - Serialized Fields
    - m_Header
```
weka.core.Instances m_Header
```
- Class weka.core.RelationalLocator extends weka.core.AttributeLocator implements Serializable
  
  serialVersionUID:
  
  4646872277151854732L
- Class weka.core.SelectedTag extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  6947341624626504975L
  - Serialized Fields
    - m_Selected
```
int m_Selected
```
    - m_Tags
```
weka.core.Tag[] m_Tags
```
- Class weka.core.SerializedObject extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  6635502953928860434L
  - Serialized Fields
    - m_isCompressed
```
boolean m_isCompressed
```
    - m_isJython
```
boolean m_isJython
```
    - m_storedObjectArray
```
byte[] m_storedObjectArray
```
- Class weka.core.Settings extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -4005372566372478008L
  - Serialized Fields
    - m_ID
```
java.lang.String m_ID
```
    - m_settings
```
java.util.Map<K extends java.lang.Object,V extends java.lang.Object> m_settings
```
    - m_storeName
```
java.lang.String m_storeName
```
- Class weka.core.Settings.SettingKey extends java.lang.Object implements Serializable
  - Serialized Fields
    - m_description
```
java.lang.String m_description
```
    - m_key
```
java.lang.String m_key
```
    - m_meta
```
java.util.Map<K extends java.lang.Object,V extends java.lang.Object> m_meta
```
    - m_pickList
```
java.util.List<E extends java.lang.Object> m_pickList
```
    - m_toolTip
```
java.lang.String m_toolTip
```
- Class weka.core.SetupGenerator extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  7683008589774888142L
  - Serialized Fields
    - m_BaseObject
```
java.io.Serializable m_BaseObject
```
    - m_Initialized
```
boolean m_Initialized
```
    - m_Parameters
```
weka.core.setupgenerator.AbstractParameter[] m_Parameters
```
    - m_Space
```
weka.core.setupgenerator.Space m_Space
```
- Class weka.core.SingleIndex extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  5285169134430839303L
  - Serialized Fields
    - m_IndexString
```
java.lang.String m_IndexString
```
    - m_SelectedIndex
```
int m_SelectedIndex
```
    - m_Upper
```
int m_Upper
```
- Class weka.core.SparseInstance extends weka.core.AbstractInstance implements Serializable
  
  serialVersionUID:
  
  -3579051291332630149L
  - Serialized Fields
    - m_Indices
```
int[] m_Indices
```
    - m_NumAttributes
```
int m_NumAttributes
```
- Class weka.core.StringLocator extends weka.core.AttributeLocator implements Serializable
  
  serialVersionUID:
  
  7805522230268783972L
- Class weka.core.Tag extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  3326379903447135320L
  - Serialized Fields
    - m_ID
```
int m_ID
```
    - m_IDStr
```
java.lang.String m_IDStr
```
    - m_Readable
```
java.lang.String m_Readable
```
- Class weka.core.TestInstances extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -6263968936330390469L
  - Serialized Fields
    - m_ClassIndex
```
int m_ClassIndex
```
    - m_ClassType
```
int m_ClassType
```
    - m_Data
```
weka.core.Instances m_Data
```
    - m_Handler
```
weka.core.CapabilitiesHandler m_Handler
```
    - m_MultiInstance
```
boolean m_MultiInstance
```
    - m_NumClasses
```
int m_NumClasses
```
    - m_NumDate
```
int m_NumDate
```
    - m_NumInstances
```
int m_NumInstances
```
    - m_NumInstancesRelational
```
int m_NumInstancesRelational
```
    - m_NumNominal
```
int m_NumNominal
```
    - m_NumNominalValues
```
int m_NumNominalValues
```
    - m_NumNumeric
```
int m_NumNumeric
```
    - m_NumRelational
```
int m_NumRelational
```
    - m_NumRelationalDate
```
int m_NumRelationalDate
```
    - m_NumRelationalNominal
```
int m_NumRelationalNominal
```
    - m_NumRelationalNominalValues
```
int m_NumRelationalNominalValues
```
    - m_NumRelationalNumeric
```
int m_NumRelationalNumeric
```
    - m_NumRelationalString
```
int m_NumRelationalString
```
    - m_NumString
```
int m_NumString
```
    - m_Random
```
java.util.Random m_Random
```
    - m_Relation
```
java.lang.String m_Relation
```
    - m_RelationalClassFormat
```
weka.core.Instances m_RelationalClassFormat
```
    - m_RelationalFormat
```
weka.core.Instances[] m_RelationalFormat
```
    - m_Seed
```
int m_Seed
```
    - m_Words
```
java.lang.String[] m_Words
```
    - m_WordSeparators
```
java.lang.String m_WordSeparators
```
- Class weka.core.Trie extends java.lang.Object implements Serializable
  
  serialVersionUID:
  
  -5897980928817779048L
  - Serialized Fields
    - m_HashCode
```
int m_HashCode
```
    - m_RecalcHashCode
```
boolean m_RecalcHashCode
```
    - m_Root
```
weka.core.Trie.TrieNode m_Root
```
- Class weka.core.Trie.TrieNode extends javax.swing.tree.DefaultMutableTreeNode implements Serializable
  
  serialVersionUID:
  
  -2252907099391881148L
  - Serialized Fields
    - m_Children
```
java.util.Hashtable<K extends java.lang.Object,V extends java.lang.Object> m_Children
```
- Class weka.core.UnassignedClassException extends java.lang.RuntimeException implements Serializable
  
  serialVersionUID:
  
  6268278694768818235L
- Class weka.core.UnassignedDatasetException extends java.lang.RuntimeException implements Serializable
  
  serialVersionUID:
  
  -9000116786626328854L
- Class weka.core.UnsupportedAttributeTypeException extends weka.core.WekaException implements Serializable
  
  serialVersionUID:
  
  2658987325328414838L
- Class weka.core.UnsupportedClassTypeException extends weka.core.WekaException implements Serializable
  
  serialVersionUID:
  
  5175741076972192151L
- Class weka.core.WekaException extends java.lang.Exception implements Serializable
  
  serialVersionUID:
  
  6428269989006208585L
Package weka.datagenerators.classifiers.classification
- Class weka.datagenerators.classifiers.classification.Agrawal extends weka.datagenerators.ClassificationGenerator implements Serializable
  
  serialVersionUID:
  
  2254651939636143025L
  - Serialized Fields
    - m_BalanceClass
```
boolean m_BalanceClass
```
    - m_Function
```
int m_Function
```
    - m_lastLabel
```
double m_lastLabel
```
    - m_nextClassShouldBeZero
```
boolean m_nextClassShouldBeZero
```
    - m_PerturbationFraction
```
double m_PerturbationFraction
```
- Class weka.datagenerators.classifiers.classification.BayesNet extends weka.datagenerators.ClassificationGenerator implements Serializable
  
  serialVersionUID:
  
  -796118162379901512L
  - Serialized Fields
    - m_Generator
```
weka.classifiers.bayes.net.BayesNetGenerator m_Generator
```
- Class weka.datagenerators.classifiers.classification.LED24 extends weka.datagenerators.ClassificationGenerator implements Serializable
  
  serialVersionUID:
  
  -7880209100415868737L
  - Serialized Fields
    - m_NoisePercent
```
double m_NoisePercent
```
    - m_numIrrelevantAttributes
```
int m_numIrrelevantAttributes
```
- Class weka.datagenerators.classifiers.classification.MOA extends weka.datagenerators.ClassificationGenerator implements Serializable
  
  serialVersionUID:
  
  13533833825026962L
  - Serialized Fields
    - instanceConverter
```
SamoaToWekaInstanceConverter instanceConverter
```
    - m_ActualGenerator
```
InstanceStream m_ActualGenerator
```
      the actual data generator.
    - m_Generator
```
ClassOption m_Generator
```
      for manipulating the generator through the GUI.
- Class weka.datagenerators.classifiers.classification.RandomRBF extends weka.datagenerators.ClassificationGenerator implements Serializable
  
  serialVersionUID:
  
  6069033710635728720L
  - Serialized Fields
    - m_centroidClasses
```
int[] m_centroidClasses
```
    - m_centroids
```
double[][] m_centroids
```
    - m_centroidStdDevs
```
double[] m_centroidStdDevs
```
    - m_centroidWeights
```
double[] m_centroidWeights
```
    - m_NumAttributes
```
int m_NumAttributes
```
    - m_NumCentroids
```
int m_NumCentroids
```
    - m_NumClasses
```
int m_NumClasses
```
- Class weka.datagenerators.classifiers.classification.RDG1 extends weka.datagenerators.ClassificationGenerator implements Serializable
  
  serialVersionUID:
  
  7751005204635320414L
  - Serialized Fields
    - m_AttList_Irr
```
boolean[] m_AttList_Irr
```
    - m_DecisionList
```
java.util.ArrayList<E extends java.lang.Object> m_DecisionList
```
    - m_MaxRuleSize
```
int m_MaxRuleSize
```
    - m_MinRuleSize
```
int m_MinRuleSize
```
    - m_NumAttributes
```
int m_NumAttributes
```
    - m_NumClasses
```
int m_NumClasses
```
    - m_NumIrrelevant
```
int m_NumIrrelevant
```
    - m_NumNumeric
```
int m_NumNumeric
```
    - m_VoteFlag
```
boolean m_VoteFlag
```

Package weka.gui

Class weka.gui.AbstractGUIApplication extends javax.swing.JPanel implements Serializable

serialVersionUID:

-2116770422043462730L
- Serialized Fields
  - m_applicationSettings
```
weka.core.Settings m_applicationSettings
```
  - m_perspectiveManager
```
weka.gui.PerspectiveManager m_perspectiveManager
```
Class weka.gui.AbstractPerspective extends javax.swing.JPanel implements Serializable

serialVersionUID:

1919714661641262879L
- Serialized Fields
  - m_isActive
```
boolean m_isActive
```
  - m_isLoaded
```
boolean m_isLoaded
```
  - m_log
```
weka.gui.Logger m_log
```
  - m_mainApplication
```
weka.gui.GUIApplication m_mainApplication
```
  - m_perspectiveIcon
```
javax.swing.Icon m_perspectiveIcon
```
  - m_perspectiveID
```
java.lang.String m_perspectiveID
```
  - m_perspectiveTipText
```
java.lang.String m_perspectiveTipText
```
  - m_perspectiveTitle
```
java.lang.String m_perspectiveTitle
```
Class weka.gui.AttributeListPanel extends javax.swing.JPanel implements Serializable

serialVersionUID:

-2030706987910400362L
- Serialized Fields
  - m_Model
```
weka.gui.AttributeListPanel.AttributeTableModel m_Model
```
  - m_Table
```
javax.swing.JTable m_Table
```

Class weka.gui.AttributeSelectionPanel extends javax.swing.JPanel implements Serializable

serialVersionUID:: 627131485290359194L

Serialized Fields

m_IncludeAll
```
javax.swing.JButton m_IncludeAll
```
m_Invert
```
javax.swing.JButton m_Invert
```

m_Model

weka.gui.AttributeSelectionPanel.AttributeTableModel m_Model

m_Pattern
```
javax.swing.JButton m_Pattern
```
m_PatternRegEx
```
java.lang.String m_PatternRegEx
```
m_RemoveAll
```
javax.swing.JButton m_RemoveAll
```
m_Table
```
javax.swing.JTable m_Table
```

Class weka.gui.AttributeSummaryPanel extends javax.swing.JPanel implements Serializable

serialVersionUID:: -5434987925737735880L

Serialized Fields

m_allEqualWeights
```
boolean m_allEqualWeights
```
m_AttributeNameLab
```
javax.swing.JLabel m_AttributeNameLab
```

m_AttributeStats

weka.core.AttributeStats[] m_AttributeStats

m_AttributeTypeLab
```
javax.swing.JLabel m_AttributeTypeLab
```
m_AttributeWeightLab
```
javax.swing.JLabel m_AttributeWeightLab
```
m_DistinctLab
```
javax.swing.JLabel m_DistinctLab
```
m_Instances
```
weka.core.Instances m_Instances
```
m_MissingLab
```
javax.swing.JLabel m_MissingLab
```
m_StatsTable
```
javax.swing.JTable m_StatsTable
```
m_UniqueLab
```
javax.swing.JLabel m_UniqueLab
```
m_WeightLab
```
javax.swing.JLabel m_WeightLab
```

Class weka.gui.AttributeVisualizationPanel extends weka.gui.visualize.PrintablePanel implements Serializable

serialVersionUID:: -8650490488825371193L

Serialized Fields

m_as
```
weka.core.AttributeStats m_as
```
m_asCache
```
weka.core.AttributeStats[] m_asCache
```
m_attribIndex
```
int m_attribIndex
```
m_barRange
```
double m_barRange
```
m_classIndex
```
int m_classIndex
```

m_colorAttrib

javax.swing.JComboBox<E extends java.lang.Object> m_colorAttrib

m_colorList

java.util.ArrayList<E extends java.lang.Object> m_colorList

m_data
```
weka.core.Instances m_data
```
m_displayCurrentAttribute
```
boolean m_displayCurrentAttribute
```
m_doneCurrentAttribute
```
boolean m_doneCurrentAttribute
```
m_fm
```
java.awt.FontMetrics m_fm
```
m_hc
```
java.lang.Thread m_hc
```

m_histBarClassCounts

weka.core.SparseInstance[] m_histBarClassCounts

m_histBarCounts
```
double[] m_histBarCounts
```
m_locker
```
java.lang.Integer m_locker
```
m_maxValue
```
double m_maxValue
```
m_threadRun
```
boolean m_threadRun
```

Class weka.gui.CheckBoxList extends javax.swing.JList implements Serializable

serialVersionUID:

-4359573373359270258L
Class weka.gui.CheckBoxList.CheckBoxListModel extends javax.swing.DefaultListModel implements Serializable

serialVersionUID:

7772455499540273507L
Class weka.gui.CheckBoxList.CheckBoxListRenderer extends javax.swing.JCheckBox implements Serializable

serialVersionUID:

1059591605858524586L

Class weka.gui.CloseableTabTitle extends javax.swing.JPanel implements Serializable

serialVersionUID:: 9178081197757118130L

Serialized Fields

m_callback

weka.gui.CloseableTabTitle.ClosingCallback m_callback

m_closeAccelleratorText

java.lang.String m_closeAccelleratorText

m_enclosingPane
```
javax.swing.JTabbedPane m_enclosingPane
```

m_tabButton

weka.gui.CloseableTabTitle.TabButton m_tabButton

m_tabLabel
```
javax.swing.JLabel m_tabLabel
```

Class weka.gui.ConverterFileChooser extends javax.swing.JFileChooser implements Serializable

serialVersionUID:: -5373058011025481738L

Serialized Fields

m_CapabilitiesFilter

weka.core.Capabilities m_CapabilitiesFilter

m_CheckBoxOptions
```
javax.swing.JCheckBox m_CheckBoxOptions
```
m_ConfigureButton
```
javax.swing.JButton m_ConfigureButton
```
m_CoreConvertersOnly
```
boolean m_CoreConvertersOnly
```
m_CurrentConverter
```
java.lang.Object m_CurrentConverter
```
m_DialogType
```
int m_DialogType
```
m_Editor
```
weka.gui.GenericObjectEditor m_Editor
```
m_EditorResult
```
int m_EditorResult
```
m_FileMustExist
```
boolean m_FileMustExist
```
m_LabelOptions
```
javax.swing.JLabel m_LabelOptions
```

m_LastFilter

javax.swing.filechooser.FileFilter m_LastFilter

m_Listener

java.beans.PropertyChangeListener m_Listener

m_OverwriteWarning
```
boolean m_OverwriteWarning
```
m_Self
```
weka.gui.ConverterFileChooser m_Self
```

Class weka.gui.CostBenefitAnalysisPanel extends javax.swing.JPanel implements Serializable

serialVersionUID:: 5364871945448769003L

Serialized Fields

m_benefitR
```
javax.swing.JRadioButton m_benefitR
```
m_classAttribute
```
weka.core.Attribute m_classAttribute
```
m_classificationAccV
```
javax.swing.JLabel m_classificationAccV
```

m_conf_aa

weka.gui.CostBenefitAnalysisPanel.ConfusionCell m_conf_aa

m_conf_ab

weka.gui.CostBenefitAnalysisPanel.ConfusionCell m_conf_ab

m_conf_actualA
```
javax.swing.JLabel m_conf_actualA
```
m_conf_actualB
```
javax.swing.JLabel m_conf_actualB
```

m_conf_ba

weka.gui.CostBenefitAnalysisPanel.ConfusionCell m_conf_ba

m_conf_bb

weka.gui.CostBenefitAnalysisPanel.ConfusionCell m_conf_bb

m_conf_predictedA
```
javax.swing.JLabel m_conf_predictedA
```
m_conf_predictedB
```
javax.swing.JLabel m_conf_predictedB
```
m_cost_aa
```
javax.swing.JTextField m_cost_aa
```
m_cost_ab
```
javax.swing.JTextField m_cost_ab
```
m_cost_actualA
```
javax.swing.JLabel m_cost_actualA
```
m_cost_actualB
```
javax.swing.JLabel m_cost_actualB
```
m_cost_ba
```
javax.swing.JTextField m_cost_ba
```
m_cost_bb
```
javax.swing.JTextField m_cost_bb
```
m_cost_predictedA
```
javax.swing.JLabel m_cost_predictedA
```
m_cost_predictedB
```
javax.swing.JLabel m_cost_predictedB
```

m_costBenefit

weka.gui.visualize.PlotData2D m_costBenefit

m_costBenefitL
```
javax.swing.JLabel m_costBenefitL
```

m_costBenefitPanel

weka.gui.visualize.VisualizePanel m_costBenefitPanel

m_costBenefitV
```
javax.swing.JLabel m_costBenefitV
```
m_costR
```
javax.swing.JRadioButton m_costR
```
m_fnPrevious
```
double m_fnPrevious
```
m_fpPrevious
```
double m_fpPrevious
```
m_gainV
```
javax.swing.JLabel m_gainV
```

m_masterPlot

weka.gui.visualize.PlotData2D m_masterPlot

m_maximizeCB
```
javax.swing.JButton m_maximizeCB
```
m_minimizeCB
```
javax.swing.JButton m_minimizeCB
```
m_originalPopSize
```
int m_originalPopSize
```
m_percOfTarget
```
javax.swing.JRadioButton m_percOfTarget
```
m_percOfTargetLab
```
javax.swing.JLabel m_percOfTargetLab
```
m_percPop
```
javax.swing.JRadioButton m_percPop
```
m_percPopLab
```
javax.swing.JLabel m_percPopLab
```

m_performancePanel

weka.gui.visualize.VisualizePanel m_performancePanel

m_previousShapeIndex
```
int m_previousShapeIndex
```
m_randomV
```
javax.swing.JLabel m_randomV
```
m_shapeSizes
```
int[] m_shapeSizes
```
m_threshold
```
javax.swing.JRadioButton m_threshold
```
m_thresholdLab
```
javax.swing.JLabel m_thresholdLab
```
m_thresholdSlider
```
javax.swing.JSlider m_thresholdSlider
```
m_tnPrevious
```
double m_tnPrevious
```
m_totalPopField
```
javax.swing.JTextField m_totalPopField
```
m_totalPopPrevious
```
int m_totalPopPrevious
```
m_tpPrevious
```
double m_tpPrevious
```

Class weka.gui.CostBenefitAnalysisPanel.ConfusionCell extends javax.swing.JPanel implements Serializable

serialVersionUID:

6148640235434494767L
- Serialized Fields
  - m_conf_cell
```
javax.swing.JLabel m_conf_cell
```
  - m_conf_perc
```
javax.swing.JLabel m_conf_perc
```
  - m_percentage
```
double m_percentage
```
  - m_percentageP
```
javax.swing.JPanel m_percentageP
```

Class weka.gui.DatabaseConnectionDialog extends javax.swing.JDialog implements Serializable

serialVersionUID:: -1081946748666245054L

Serialized Fields

m_DbaseURLLab
```
javax.swing.JLabel m_DbaseURLLab
```
m_DbaseURLText
```
javax.swing.JTextField m_DbaseURLText
```
m_DebugCheckBox
```
javax.swing.JCheckBox m_DebugCheckBox
```
m_DebugLab
```
javax.swing.JLabel m_DebugLab
```
m_PasswordLab
```
javax.swing.JLabel m_PasswordLab
```

m_PasswordText

javax.swing.JPasswordField m_PasswordText

m_returnValue
```
int m_returnValue
```
m_UserNameLab
```
javax.swing.JLabel m_UserNameLab
```
m_UserNameText
```
javax.swing.JTextField m_UserNameText
```

Class weka.gui.EnvironmentField extends javax.swing.JPanel implements Serializable

serialVersionUID:: -3125404573324734121L

Serialized Fields

m_combo

javax.swing.JComboBox<E extends java.lang.Object> m_combo

m_currentCaretPos
```
int m_currentCaretPos
```
m_currentContents
```
java.lang.String m_currentContents
```
m_env
```
weka.core.Environment m_env
```
m_firstCaretPos
```
int m_firstCaretPos
```
m_label
```
javax.swing.JLabel m_label
```
m_previousCaretPos
```
int m_previousCaretPos
```

m_support

java.beans.PropertyChangeSupport m_support

Class weka.gui.EnvironmentField.WideComboBox extends javax.swing.JComboBox implements Serializable

serialVersionUID:

-6512065375459733517L
- Serialized Fields
  - m_layingOut
```
boolean m_layingOut
```
Class weka.gui.ETable extends javax.swing.JTable implements Serializable

serialVersionUID:

-3028630226368293049L
- Serialized Fields
  - MAC_FOCUSED_SELECTED_CELL_HORIZONTAL_LINE_COLOR
```
java.awt.Color MAC_FOCUSED_SELECTED_CELL_HORIZONTAL_LINE_COLOR
```
  - MAC_FOCUSED_SELECTED_VERTICAL_LINE_COLOR
```
java.awt.Color MAC_FOCUSED_SELECTED_VERTICAL_LINE_COLOR
```
  - MAC_FOCUSED_UNSELECTED_VERTICAL_LINE_COLOR
```
java.awt.Color MAC_FOCUSED_UNSELECTED_VERTICAL_LINE_COLOR
```
  - MAC_OS_ALTERNATE_ROW_COLOR
```
java.awt.Color MAC_OS_ALTERNATE_ROW_COLOR
```
  - MAC_UNFOCUSED_SELECTED_CELL_BACKGROUND_COLOR
```
java.awt.Color MAC_UNFOCUSED_SELECTED_CELL_BACKGROUND_COLOR
```
  - MAC_UNFOCUSED_SELECTED_CELL_HORIZONTAL_LINE_COLOR
```
java.awt.Color MAC_UNFOCUSED_SELECTED_CELL_HORIZONTAL_LINE_COLOR
```
  - MAC_UNFOCUSED_SELECTED_VERTICAL_LINE_COLOR
```
java.awt.Color MAC_UNFOCUSED_SELECTED_VERTICAL_LINE_COLOR
```
  - MAC_UNFOCUSED_UNSELECTED_VERTICAL_LINE_COLOR
```
java.awt.Color MAC_UNFOCUSED_UNSELECTED_VERTICAL_LINE_COLOR
```
Class weka.gui.EvaluationMetricSelectionDialog extends javax.swing.JDialog implements Serializable

serialVersionUID:

4451184027143094270L
- Serialized Fields
  - m_selectedEvalMetrics
```
java.util.List<E extends java.lang.Object> m_selectedEvalMetrics
```
Class weka.gui.ExtensionFileFilter extends javax.swing.filechooser.FileFilter implements Serializable

serialVersionUID:

-5960622841390665131L
- Serialized Fields
  - m_Description
```
java.lang.String m_Description
```
  - m_Extension
```
java.lang.String[] m_Extension
```
Class weka.gui.FileEnvironmentField extends weka.gui.EnvironmentField implements Serializable

serialVersionUID:

-233731548086207652L
- Serialized Fields
  - m_browseBut
```
javax.swing.JButton m_browseBut
```
  - m_fileEditor
```
weka.gui.FileEditor m_fileEditor
```
  - m_fileEditorDialog
```
weka.gui.PropertyDialog m_fileEditorDialog
```
Class weka.gui.GenericObjectEditor.CapabilitiesFilterDialog extends javax.swing.JDialog implements Serializable

serialVersionUID:

-7845503345689646266L
- Serialized Fields
  - m_CancelButton
```
javax.swing.JButton m_CancelButton
```
  - m_Capabilities
```
weka.core.Capabilities m_Capabilities
```
  - m_InfoLabel
```
javax.swing.JLabel m_InfoLabel
```
  - m_List
```
weka.gui.CheckBoxList m_List
```
  - m_OkButton
```
javax.swing.JButton m_OkButton
```
  - m_Popup
```
javax.swing.JPopupMenu m_Popup
```
  - m_Self
```
javax.swing.JDialog m_Self
```

Class weka.gui.GenericObjectEditor.GOEPanel extends javax.swing.JPanel implements Serializable

serialVersionUID:: 3656028520876011335L

Serialized Fields

m_cancelBut
```
javax.swing.JButton m_cancelBut
```

m_ChildPropertySheet

weka.gui.PropertySheetPanel m_ChildPropertySheet

m_ClassNameLabel
```
javax.swing.JLabel m_ClassNameLabel
```
m_FileChooser
```
javax.swing.JFileChooser m_FileChooser
```
m_okBut
```
javax.swing.JButton m_okBut
```
m_OpenBut
```
javax.swing.JButton m_OpenBut
```
m_SaveBut
```
javax.swing.JButton m_SaveBut
```

Class weka.gui.GenericObjectEditor.GOETreeNode extends javax.swing.tree.DefaultMutableTreeNode implements Serializable

serialVersionUID:

-1707872446682150133L
- Serialized Fields
  - m_Capabilities
```
weka.core.Capabilities m_Capabilities
```
  - m_toolTipText
```
java.lang.String m_toolTipText
```
Class weka.gui.GenericObjectEditor.JTreePopupMenu extends javax.swing.JPopupMenu implements Serializable

serialVersionUID:

-3404546329655057387L
- Serialized Fields
  - m_CloseButton
```
javax.swing.JButton m_CloseButton
```
  - m_FilterButton
```
javax.swing.JButton m_FilterButton
```
  - m_RemoveFilterButton
```
javax.swing.JButton m_RemoveFilterButton
```
  - m_scroller
```
javax.swing.JScrollPane m_scroller
```
  - m_Self
```
javax.swing.JPopupMenu m_Self
```
  - m_tree
```
javax.swing.JTree m_tree
```
Class weka.gui.GenericObjectEditorHistory extends java.lang.Object implements Serializable

serialVersionUID:

-1255734638729633595L
- Serialized Fields
  - m_History
```
java.util.Vector<E extends java.lang.Object> m_History
```
Class weka.gui.GenericObjectEditorHistory.HistorySelectionEvent extends java.util.EventObject implements Serializable

serialVersionUID:

45824542929908105L
- Serialized Fields
  - m_HistoryItem
```
java.lang.Object m_HistoryItem
```

Class weka.gui.GUIChooserApp extends javax.swing.JFrame implements Serializable

serialVersionUID:: 9001529425230247914L

Serialized Fields

m_ChildFrames

java.util.HashSet<E extends java.lang.Object> m_ChildFrames

m_ExperimenterBut
```
javax.swing.JButton m_ExperimenterBut
```
m_ExplorerBut
```
javax.swing.JButton m_ExplorerBut
```

m_FileChooserGraphVisualizer

javax.swing.JFileChooser m_FileChooserGraphVisualizer

m_FileChooserPlot

javax.swing.JFileChooser m_FileChooserPlot

m_FileChooserROC

javax.swing.JFileChooser m_FileChooserROC

m_FileChooserTreeVisualizer

javax.swing.JFileChooser m_FileChooserTreeVisualizer

m_Frames

java.util.Vector<E extends java.lang.Object> m_Frames

m_Icon
```
java.awt.Image m_Icon
```
m_jMenuBar
```
javax.swing.JMenuBar m_jMenuBar
```
m_jMenuHelp
```
javax.swing.JMenu m_jMenuHelp
```
m_jMenuProgram
```
javax.swing.JMenu m_jMenuProgram
```
m_jMenuTools
```
javax.swing.JMenu m_jMenuTools
```
m_jMenuVisualization
```
javax.swing.JMenu m_jMenuVisualization
```
m_KnowledgeFlowBut
```
javax.swing.JButton m_KnowledgeFlowBut
```
m_PanelApplications
```
javax.swing.JPanel m_PanelApplications
```
m_Self
```
weka.gui.GUIChooserApp m_Self
```
m_settings
```
weka.core.Settings m_settings
```
m_SimpleBut
```
javax.swing.JButton m_SimpleBut
```
m_weka
```
java.awt.Image m_weka
```
m_WorkbenchBut
```
javax.swing.JButton m_WorkbenchBut
```

Class weka.gui.GUIChooserApp.ChildFrameSDI extends javax.swing.JFrame implements Serializable

serialVersionUID:

8588293938686425618L
- Serialized Fields
  - m_Parent
```
weka.gui.GUIChooserApp m_Parent
```
Class weka.gui.GUIChooserApp.GUIChooserDefaults extends weka.core.Defaults implements Serializable

serialVersionUID:

-8524894440289936685L
Class weka.gui.HierarchyPropertyParser extends java.lang.Object implements Serializable

serialVersionUID:

-4151103338506077544L
- Serialized Fields
  - m_Current
```
weka.gui.HierarchyPropertyParser.TreeNode m_Current
```
  - m_Depth
```
int m_Depth
```
  - m_Root
```
weka.gui.HierarchyPropertyParser.TreeNode m_Root
```
  - m_Seperator
```
java.lang.String m_Seperator
```
Class weka.gui.InstancesSummaryPanel extends javax.swing.JPanel implements Serializable

serialVersionUID:

-5243579535296681063L
- Serialized Fields
  - m_Instances
```
weka.core.Instances m_Instances
```
  - m_NumAttributesLab
```
javax.swing.JLabel m_NumAttributesLab
```
  - m_NumInstancesLab
```
javax.swing.JLabel m_NumInstancesLab
```
  - m_RelationNameLab
```
javax.swing.JLabel m_RelationNameLab
```
  - m_showZeroInstancesAsUnknown
```
boolean m_showZeroInstancesAsUnknown
```
  - m_sumOfWeightsLab
```
javax.swing.JLabel m_sumOfWeightsLab
```
Class weka.gui.InteractiveTableModel extends javax.swing.table.AbstractTableModel implements Serializable

serialVersionUID:

-5113873323690309667L
- Serialized Fields
  - m_columnNames
```
java.lang.String[] m_columnNames
```
  - m_dataVector
```
java.util.List<E extends java.lang.Object> m_dataVector
```
  - m_hidden_index
```
int m_hidden_index
```
Class weka.gui.InteractiveTablePanel extends javax.swing.JPanel implements Serializable

serialVersionUID:

4495705463732140410L
- Serialized Fields
  - m_columnNames
```
java.lang.String[] m_columnNames
```
  - m_scroller
```
javax.swing.JScrollPane m_scroller
```
  - m_table
```
javax.swing.JTable m_table
```
  - m_tableModel
```
weka.gui.InteractiveTableModel m_tableModel
```
Class weka.gui.ListSelectorDialog extends javax.swing.JDialog implements Serializable

serialVersionUID:

906147926840288895L
- Serialized Fields
  - m_CancelBut
```
javax.swing.JButton m_CancelBut
```
  - m_List
```
javax.swing.JList<E extends java.lang.Object> m_List
```
  - m_PatternBut
```
javax.swing.JButton m_PatternBut
```
  - m_PatternRegEx
```
java.lang.String m_PatternRegEx
```
  - m_Result
```
int m_Result
```
  - m_SelectBut
```
javax.swing.JButton m_SelectBut
```
Class weka.gui.LogPanel extends javax.swing.JPanel implements Serializable

serialVersionUID:

-4072464549112439484L
- Serialized Fields
  - m_First
```
boolean m_First
```
  - m_logButton
```
javax.swing.JButton m_logButton
```
  - m_LogText
```
javax.swing.JTextArea m_LogText
```
  - m_StatusLab
```
javax.swing.JLabel m_StatusLab
```
  - m_TaskMonitor
```
weka.gui.WekaTaskMonitor m_TaskMonitor
```

Class weka.gui.LogWindow extends javax.swing.JFrame implements Serializable

serialVersionUID:: 5650947361381061112L

Serialized Fields

m_ButtonClear
```
javax.swing.JButton m_ButtonClear
```
m_ButtonClose
```
javax.swing.JButton m_ButtonClose
```

m_CheckBoxWordwrap

javax.swing.JCheckBox m_CheckBoxWordwrap

m_LabelCurrentSize
```
javax.swing.JLabel m_LabelCurrentSize
```
m_Output
```
javax.swing.JTextPane m_Output
```
m_SpinnerMaxSize
```
javax.swing.JSpinner m_SpinnerMaxSize
```
m_UseWordwrap
```
boolean m_UseWordwrap
```

Class weka.gui.Main extends javax.swing.JFrame implements Serializable

serialVersionUID:: 1453813254824253849L

Serialized Fields

jDesktopPane
```
javax.swing.JDesktopPane jDesktopPane
```
jMenuApplications
```
javax.swing.JMenu jMenuApplications
```
jMenuBar
```
javax.swing.JMenuBar jMenuBar
```
jMenuExtensions
```
javax.swing.JMenu jMenuExtensions
```
jMenuHelp
```
javax.swing.JMenu jMenuHelp
```

jMenuItemApplicationsExperimenter

javax.swing.JMenuItem jMenuItemApplicationsExperimenter

jMenuItemApplicationsExplorer

javax.swing.JMenuItem jMenuItemApplicationsExplorer

jMenuItemApplicationsKnowledgeFlow

javax.swing.JMenuItem jMenuItemApplicationsKnowledgeFlow

jMenuItemApplicationsSimpleCLI

javax.swing.JMenuItem jMenuItemApplicationsSimpleCLI

jMenuItemHelpAbout

javax.swing.JMenuItem jMenuItemHelpAbout

jMenuItemHelpHomepage

javax.swing.JMenuItem jMenuItemHelpHomepage

jMenuItemHelpSourceforge

javax.swing.JMenuItem jMenuItemHelpSourceforge

jMenuItemHelpSystemInfo

javax.swing.JMenuItem jMenuItemHelpSystemInfo

jMenuItemHelpWekaWiki

javax.swing.JMenuItem jMenuItemHelpWekaWiki

jMenuItemProgramExit

javax.swing.JMenuItem jMenuItemProgramExit

jMenuItemProgramLogWindow

javax.swing.JMenuItem jMenuItemProgramLogWindow

jMenuItemProgramMemoryUsage

javax.swing.JMenuItem jMenuItemProgramMemoryUsage

jMenuItemToolsArffViewer

javax.swing.JMenuItem jMenuItemToolsArffViewer

jMenuItemToolsGroovyConsole

javax.swing.JMenuItem jMenuItemToolsGroovyConsole

jMenuItemToolsJythonConsole

javax.swing.JMenuItem jMenuItemToolsJythonConsole

jMenuItemToolsSqlViewer

javax.swing.JMenuItem jMenuItemToolsSqlViewer

jMenuItemVisualizationBoundaryVisualizer

javax.swing.JMenuItem jMenuItemVisualizationBoundaryVisualizer

jMenuItemVisualizationGraphVisualizer

javax.swing.JMenuItem jMenuItemVisualizationGraphVisualizer

jMenuItemVisualizationPlot

javax.swing.JMenuItem jMenuItemVisualizationPlot

jMenuItemVisualizationROC

javax.swing.JMenuItem jMenuItemVisualizationROC

jMenuItemVisualizationTreeVisualizer

javax.swing.JMenuItem jMenuItemVisualizationTreeVisualizer

jMenuProgram
```
javax.swing.JMenu jMenuProgram
```
jMenuTools
```
javax.swing.JMenu jMenuTools
```
jMenuVisualization
```
javax.swing.JMenu jMenuVisualization
```
jMenuWindows
```
javax.swing.JMenu jMenuWindows
```

m_ChildFrames

java.util.HashSet<E extends java.lang.Object> m_ChildFrames

m_FileChooserGraphVisualizer

javax.swing.JFileChooser m_FileChooserGraphVisualizer

m_FileChooserPlot

javax.swing.JFileChooser m_FileChooserPlot

m_FileChooserROC

javax.swing.JFileChooser m_FileChooserROC

m_FileChooserTreeVisualizer

javax.swing.JFileChooser m_FileChooserTreeVisualizer

m_GUIType
```
int m_GUIType
```
m_Self
```
weka.gui.Main m_Self
```

Class weka.gui.Main.BackgroundDesktopPane extends javax.swing.JDesktopPane implements Serializable

serialVersionUID:

2046713123452402745L
- Serialized Fields
  - m_Background
```
java.awt.Image m_Background
```
Class weka.gui.Main.ChildFrameMDI extends javax.swing.JInternalFrame implements Serializable

serialVersionUID:

3772573515346899959L
- Serialized Fields
  - m_Parent
```
weka.gui.Main m_Parent
```
Class weka.gui.Main.ChildFrameSDI extends javax.swing.JFrame implements Serializable

serialVersionUID:

8588293938686425618L
- Serialized Fields
  - m_Parent
```
weka.gui.Main m_Parent
```

Class weka.gui.MemoryUsagePanel extends javax.swing.JPanel implements Serializable

serialVersionUID:: -4812319791687471721L

Serialized Fields

m_BackgroundColor
```
java.awt.Color m_BackgroundColor
```
m_ButtonGC
```
javax.swing.JButton m_ButtonGC
```

m_Colors

java.util.Hashtable<K extends java.lang.Object,V extends java.lang.Object> m_Colors

m_DefaultColor
```
java.awt.Color m_DefaultColor
```
m_FrameLocation
```
java.awt.Point m_FrameLocation
```

m_History

java.util.Vector<E extends java.lang.Object> m_History

m_Memory
```
weka.core.Memory m_Memory
```

m_Monitor

weka.gui.MemoryUsagePanel.MemoryMonitor m_Monitor

m_Percentages

java.util.Vector<E extends java.lang.Object> m_Percentages

Class weka.gui.PackageManager extends javax.swing.JPanel implements Serializable

serialVersionUID:: -7463821313750352385L

Serialized Fields

m_allBut
```
javax.swing.JRadioButton m_allBut
```

m_allPackages

java.util.List<E extends java.lang.Object> m_allPackages

m_availableBut
```
javax.swing.JRadioButton m_availableBut
```

m_availablePackages

java.util.List<E extends java.lang.Object> m_availablePackages

m_backB
```
javax.swing.JButton m_backB
```

m_browserHistory

java.util.LinkedList<E extends java.lang.Object> m_browserHistory

m_browserTools
```
javax.swing.JToolBar m_browserTools
```
m_cacheEstablished
```
boolean m_cacheEstablished
```
m_cacheRefreshInProgress
```
boolean m_cacheRefreshInProgress
```
m_detailLabel
```
javax.swing.JLabel m_detailLabel
```
m_forceBut
```
javax.swing.JCheckBox m_forceBut
```
m_homeB
```
javax.swing.JButton m_homeB
```
m_infoPane
```
javax.swing.JEditorPane m_infoPane
```
m_installBut
```
javax.swing.JButton m_installBut
```
m_installedBut
```
javax.swing.JRadioButton m_installedBut
```

m_installedPackages

java.util.List<E extends java.lang.Object> m_installedPackages

m_installing
```
boolean m_installing
```

m_model

javax.swing.table.DefaultTableModel m_model

m_newPackagesAvailableL

javax.swing.JLabel m_newPackagesAvailableL

m_packageComparator

java.util.Comparator<T extends java.lang.Object> m_packageComparator

m_packageDescriptions

java.util.Map<K extends java.lang.Object,V extends java.lang.Object> m_packageDescriptions

m_packageLookupInfo

java.util.Map<K extends java.lang.Object,V extends java.lang.Object> m_packageLookupInfo

m_progress
```
javax.swing.JProgressBar m_progress
```
m_refreshCacheBut
```
javax.swing.JButton m_refreshCacheBut
```
m_reverseSort
```
boolean m_reverseSort
```
m_searchField
```
javax.swing.JTextField m_searchField
```
m_searchHitsLab
```
javax.swing.JLabel m_searchHitsLab
```

m_searchResults

java.util.List<E extends java.lang.Object> m_searchResults

m_sortColumn
```
int m_sortColumn
```
m_splitP
```
javax.swing.JSplitPane m_splitP
```
m_table
```
javax.swing.JTable m_table
```
m_toggleLoad
```
javax.swing.JButton m_toggleLoad
```
m_uninstallBut
```
javax.swing.JButton m_uninstallBut
```
m_unofficialBut
```
javax.swing.JButton m_unofficialBut
```

m_unofficialChooser

weka.gui.FileEnvironmentField m_unofficialChooser

m_unofficialFrame
```
javax.swing.JFrame m_unofficialFrame
```

Class weka.gui.PackageManager.ComboBoxEditor extends javax.swing.DefaultCellEditor implements Serializable

serialVersionUID:

5240331667759901966L
Class weka.gui.PasswordField extends javax.swing.JPanel implements Serializable

serialVersionUID:

8180782063577036194L
- Serialized Fields
  - m_label
```
javax.swing.JLabel m_label
```
  - m_password
```
javax.swing.JPasswordField m_password
```
  - m_support
```
java.beans.PropertyChangeSupport m_support
```

Class weka.gui.PerspectiveManager extends javax.swing.JPanel implements Serializable

serialVersionUID:: -6099806469970666208L

Serialized Fields

m_allowedPerspectiveClassPrefixes

java.util.List<E extends java.lang.Object> m_allowedPerspectiveClassPrefixes

m_appMenuBar
```
javax.swing.JMenuBar m_appMenuBar
```

m_configAndPerspectivesToolBar

javax.swing.JPanel m_configAndPerspectivesToolBar

m_configAndPerspectivesVisible
```
boolean m_configAndPerspectivesVisible
```

m_disallowedPerspectiveClassPrefixes

java.util.List<E extends java.lang.Object> m_disallowedPerspectiveClassPrefixes

m_LogPanel
```
weka.gui.LogPanel m_LogPanel
```
m_logVisible
```
boolean m_logVisible
```
m_mainApp
```
weka.gui.GUIApplication m_mainApp
```
m_mainPerspective
```
weka.gui.Perspective m_mainPerspective
```

m_perspectiveCache

java.util.Map<K extends java.lang.Object,V extends java.lang.Object> m_perspectiveCache

m_perspectiveGroup

javax.swing.ButtonGroup m_perspectiveGroup

m_perspectiveNameLookup

java.util.Map<K extends java.lang.Object,V extends java.lang.Object> m_perspectiveNameLookup

m_perspectives

java.util.List<E extends java.lang.Object> m_perspectives

m_perspectiveToolBar

javax.swing.JToolBar m_perspectiveToolBar

m_programMenu
```
javax.swing.JMenu m_programMenu
```

m_togglePerspectivesToolBar

javax.swing.JMenuItem m_togglePerspectivesToolBar

m_visiblePerspectives

java.util.LinkedHashSet<E extends java.lang.Object> m_visiblePerspectives

Class weka.gui.PerspectiveManager.SelectedPerspectivePreferences extends java.lang.Object implements Serializable

serialVersionUID:

-2665480123235382483L
- Serialized Fields
  - m_perspectivesToolbarAlwaysHidden
```
boolean m_perspectivesToolbarAlwaysHidden
```
  - m_perspectivesToolbarVisibleOnStartup
```
boolean m_perspectivesToolbarVisibleOnStartup
```
  - m_userVisiblePerspectives
```
java.util.LinkedList<E extends java.lang.Object> m_userVisiblePerspectives
```
Class weka.gui.PropertyDialog extends javax.swing.JDialog implements Serializable

serialVersionUID:

-2314850859392433539L
- Serialized Fields
  - m_Editor
```
java.beans.PropertyEditor m_Editor
```
  - m_EditorComponent
```
java.awt.Component m_EditorComponent
```
Class weka.gui.PropertyPanel extends javax.swing.JPanel implements Serializable

serialVersionUID:

5370025273466728904L
- Serialized Fields
  - m_CustomPanel
```
javax.swing.JPanel m_CustomPanel
```
  - m_Editor
```
java.beans.PropertyEditor m_Editor
```
  - m_HasCustomPanel
```
boolean m_HasCustomPanel
```
  - m_PD
```
weka.gui.PropertyDialog m_PD
```
Class weka.gui.PropertySelectorDialog extends javax.swing.JDialog implements Serializable

serialVersionUID:

-3155058124137930518L
- Serialized Fields
  - m_CancelBut
```
javax.swing.JButton m_CancelBut
```
  - m_Result
```
int m_Result
```
  - m_ResultPath
```
java.lang.Object[] m_ResultPath
```
  - m_Root
```
javax.swing.tree.DefaultMutableTreeNode m_Root
```
  - m_RootObject
```
java.lang.Object m_RootObject
```
  - m_SelectBut
```
javax.swing.JButton m_SelectBut
```
  - m_Tree
```
javax.swing.JTree m_Tree
```

Class weka.gui.PropertySheetPanel extends javax.swing.JPanel implements Serializable

serialVersionUID:: -8939835593429918345L

Serialized Fields

m_aboutPanel
```
javax.swing.JPanel m_aboutPanel
```
m_CapabilitiesBut
```
javax.swing.JButton m_CapabilitiesBut
```

m_CapabilitiesDialog

weka.gui.PropertySheetPanel.CapabilitiesHelpDialog m_CapabilitiesDialog

m_CapabilitiesText

javax.swing.JTextArea m_CapabilitiesText

m_Customizer

weka.gui.beans.GOECustomizer m_Customizer

m_Editors
```
java.beans.PropertyEditor[] m_Editors
```
m_HelpBut
```
javax.swing.JButton m_HelpBut
```
m_HelpDialog
```
javax.swing.JDialog m_HelpDialog
```
m_HelpText
```
java.lang.StringBuffer m_HelpText
```
m_Labels
```
javax.swing.JLabel[] m_Labels
```
m_Methods
```
java.beans.MethodDescriptor[] m_Methods
```
m_NumEditable
```
int m_NumEditable
```

m_Properties

java.beans.PropertyDescriptor[] m_Properties

m_showAboutPanel
```
boolean m_showAboutPanel
```
m_Target
```
java.lang.Object m_Target
```
m_TipTexts
```
java.lang.String[] m_TipTexts
```
m_useEnvironmentPropertyEditors
```
boolean m_useEnvironmentPropertyEditors
```
m_Values
```
java.lang.Object[] m_Values
```
m_Views
```
javax.swing.JComponent[] m_Views
```

support

java.beans.PropertyChangeSupport support

Class weka.gui.PropertySheetPanel.CapabilitiesHelpDialog extends javax.swing.JDialog implements Serializable

serialVersionUID:

-1404770987103289858L
- Serialized Fields
  - m_Self
```
weka.gui.PropertySheetPanel.CapabilitiesHelpDialog m_Self
```

Class weka.gui.ResultHistoryPanel extends javax.swing.JPanel implements Serializable

serialVersionUID:: 4297069440135326829L

Serialized Fields

m_FramedOutput

java.util.Hashtable<K extends java.lang.Object,V extends java.lang.Object> m_FramedOutput

m_HandleRightClicks
```
boolean m_HandleRightClicks
```

m_List

javax.swing.JList<E extends java.lang.Object> m_List

m_Model

javax.swing.DefaultListModel<E extends java.lang.Object> m_Model

m_Objs

java.util.Hashtable<K extends java.lang.Object,V extends java.lang.Object> m_Objs

m_Printer

weka.gui.visualize.PrintableComponent m_Printer

m_Results

java.util.Hashtable<K extends java.lang.Object,V extends java.lang.Object> m_Results

m_SingleName
```
java.lang.String m_SingleName
```

m_SingleText

javax.swing.text.JTextComponent m_SingleText

Class weka.gui.ResultHistoryPanel.RKeyAdapter extends java.awt.event.KeyAdapter implements Serializable

serialVersionUID:

-8675332541861828079L
Class weka.gui.ResultHistoryPanel.RMouseAdapter extends java.awt.event.MouseAdapter implements Serializable

serialVersionUID:

-8991922650552358669L

Class weka.gui.SetInstancesPanel extends javax.swing.JPanel implements Serializable

serialVersionUID:: -384804041420453735L

Serialized Fields

m_ClassComboBox

javax.swing.JComboBox<E extends java.lang.Object> m_ClassComboBox

m_ClassLabel
```
javax.swing.JLabel m_ClassLabel
```
m_CloseBut
```
javax.swing.JButton m_CloseBut
```
m_CloseButPanel
```
javax.swing.JPanel m_CloseButPanel
```

m_FileChooser

weka.gui.ConverterFileChooser m_FileChooser

m_Instances
```
weka.core.Instances m_Instances
```
m_IOThread
```
java.lang.Thread m_IOThread
```
m_LastURL
```
java.lang.String m_LastURL
```
m_Loader
```
weka.core.converters.Loader m_Loader
```
m_OpenFileBut
```
javax.swing.JButton m_OpenFileBut
```
m_OpenURLBut
```
javax.swing.JButton m_OpenURLBut
```
m_ParentFrame
```
javax.swing.JFrame m_ParentFrame
```
m_readIncrementally
```
boolean m_readIncrementally
```
m_showClassComboBox
```
boolean m_showClassComboBox
```
m_showZeroInstancesAsUnknown
```
boolean m_showZeroInstancesAsUnknown
```

m_Summary

weka.gui.InstancesSummaryPanel m_Summary

m_Support

java.beans.PropertyChangeSupport m_Support

Class weka.gui.SettingsEditor extends javax.swing.JPanel implements Serializable

serialVersionUID:: 1453121012707399758L

Serialized Fields

m_ownerApp
```
weka.gui.GUIApplication m_ownerApp
```

m_perspectiveEditors

java.util.List<E extends java.lang.Object> m_perspectiveEditors

m_perspectiveSelector

weka.gui.SettingsEditor.PerspectiveSelector m_perspectiveSelector

m_settings
```
weka.core.Settings m_settings
```
m_settingsTabs
```
javax.swing.JTabbedPane m_settingsTabs
```

Class weka.gui.SettingsEditor.PerspectiveSelector extends javax.swing.JPanel implements Serializable

serialVersionUID:

-4765015948030757897L
- Serialized Fields
  - m_perspectiveChecks
```
java.util.List<E extends java.lang.Object> m_perspectiveChecks
```
  - m_toolBarVisibleOnStartup
```
javax.swing.JCheckBox m_toolBarVisibleOnStartup
```
Class weka.gui.SettingsEditor.PickList extends javax.swing.JPanel implements Serializable

serialVersionUID:

3505647427533464230L
- Serialized Fields
  - m_list
```
javax.swing.JComboBox<E extends java.lang.Object> m_list
```
Class weka.gui.SettingsEditor.SingleSettingsEditor extends javax.swing.JPanel implements Serializable

serialVersionUID:

8896265984902770239L
- Serialized Fields
  - m_editorMap
```
java.util.Map<K extends java.lang.Object,V extends java.lang.Object> m_editorMap
```
  - m_perspSettings
```
java.util.Map<K extends java.lang.Object,V extends java.lang.Object> m_perspSettings
```
Class weka.gui.SimpleCLI extends javax.swing.JFrame implements Serializable

serialVersionUID:

-50661410800566036L

Class weka.gui.SimpleCLIPanel extends weka.gui.scripting.ScriptingPanel implements Serializable

serialVersionUID:: 1089039734615114942L

Serialized Fields

m_CommandHistory

java.util.Vector<E extends java.lang.Object> m_CommandHistory

m_Completion

weka.gui.SimpleCLIPanel.CommandlineCompletion m_Completion

m_HistoryPos
```
int m_HistoryPos
```
m_Input
```
javax.swing.JTextField m_Input
```
m_mainApp
```
weka.gui.GUIApplication m_mainApp
```
m_OutputArea
```
javax.swing.JTextPane m_OutputArea
```
m_perspectiveIcon
```
javax.swing.Icon m_perspectiveIcon
```
m_RunThread
```
java.lang.Thread m_RunThread
```

Class weka.gui.SortedTableModel extends javax.swing.table.AbstractTableModel implements Serializable

serialVersionUID:

4030907921461127548L
- Serialized Fields
  - mAscending
```
boolean mAscending
```
  - mIndices
```
int[] mIndices
```
  - mModel
```
javax.swing.table.TableModel mModel
```
  - mSortColumn
```
int mSortColumn
```
Class weka.gui.SplashWindow extends java.awt.Window implements Serializable

serialVersionUID:

-2685134277041307795L
- Serialized Fields
  - image
```
java.awt.Image image
```
  - message
```
java.util.List<E extends java.lang.Object> message
```
  - paintCalled
```
boolean paintCalled
```
Class weka.gui.ViewerDialog extends javax.swing.JDialog implements Serializable

serialVersionUID:

6747718484736047752L
- Serialized Fields
  - m_addInstanceButton
```
javax.swing.JButton m_addInstanceButton
```
  - m_ArffPanel
```
weka.gui.arffviewer.ArffPanel m_ArffPanel
```
  - m_CancelButton
```
javax.swing.JButton m_CancelButton
```
  - m_OkButton
```
javax.swing.JButton m_OkButton
```
  - m_Result
```
int m_Result
```
  - m_UndoButton
```
javax.swing.JButton m_UndoButton
```
Class weka.gui.WekaTaskMonitor extends javax.swing.JPanel implements Serializable

serialVersionUID:

508309816292197578L
- Serialized Fields
  - m_ActiveTasks
```
int m_ActiveTasks
```
  - m_animating
```
boolean m_animating
```
  - m_iconAnimated
```
javax.swing.ImageIcon m_iconAnimated
```
  - m_iconStationary
```
javax.swing.ImageIcon m_iconStationary
```
  - m_MonitorLabel
```
javax.swing.JLabel m_MonitorLabel
```
Class weka.gui.WorkbenchApp extends weka.gui.AbstractGUIApplication implements Serializable

serialVersionUID:

-2357486011273897728L
- Serialized Fields
  - m_mainPerspective
```
weka.gui.explorer.PreprocessPanel m_mainPerspective
```
  - m_workbenchSettings
```
weka.core.Settings m_workbenchSettings
```
Class weka.gui.WorkbenchDefaults extends weka.core.Defaults implements Serializable

serialVersionUID:

7881327795923189743L
Class weka.gui.WrapLayout extends java.awt.FlowLayout implements Serializable

serialVersionUID:

7055023419450383821L
- Serialized Fields
  - preferredLayoutSize
```
java.awt.Dimension preferredLayoutSize
```

Serialized Form

Package com.github.javacliparser

Class com.github.javacliparser.AbstractClassOption extends AbstractOption implements Serializable

Serialized Fields

currentValue

defaultCLIString

nullString

requiredType

Class com.github.javacliparser.AbstractOption extends java.lang.Object implements Serializable

Serialized Fields

cliChar

name

purpose

Class com.github.javacliparser.ClassOption extends AbstractClassOption implements Serializable

Class com.github.javacliparser.FileOption extends StringOption implements Serializable

Serialized Fields

defaultFileExtension

isOutputFile

Class com.github.javacliparser.FlagOption extends AbstractOption implements Serializable

Serialized Fields

isSet

Class com.github.javacliparser.FloatOption extends AbstractOption implements Serializable

Serialized Fields

currentVal

defaultVal

maxVal

minVal

Class com.github.javacliparser.IntOption extends AbstractOption implements Serializable

Serialized Fields

currentVal

defaultVal

maxVal

minVal

Class com.github.javacliparser.JavaCLIParser extends java.lang.Object implements Serializable

Serialized Fields

classOptionNamesToPreparedObjects

handler

options

Class com.github.javacliparser.ListOption extends AbstractOption implements Serializable

Serialized Fields

currentList

defaultList

expectedType

separatorChar

Class com.github.javacliparser.MultiChoiceOption extends AbstractOption implements Serializable

Serialized Fields

chosenOptionIndex

defaultOptionIndex

optionDescriptions

optionLabels

Class com.github.javacliparser.Options extends java.lang.Object implements Serializable

Serialized Fields

optionList

Class com.github.javacliparser.RangeOption extends StringOption implements Serializable

Class com.github.javacliparser.StringOption extends AbstractOption implements Serializable

Serialized Fields

currentVal

defaultVal

Package com.github.javacliparser.gui

Class com.github.javacliparser.gui.ClassOptionEditComponent extends javax.swing.JPanel implements Serializable

Serialized Fields

changeListeners

editButton

editedOption

midUpdate

textField

Class com.github.javacliparser.gui.ClassOptionWithNamesEditComponent extends javax.swing.JPanel implements Serializable

Serialized Fields

changeListeners

editButton

editedOption

textField

Class com.github.javacliparser.gui.FileOptionEditComponent extends javax.swing.JPanel implements Serializable

Serialized Fields

browseButton

editedOption

textField

Class com.github.javacliparser.gui.FlagOptionEditComponent extends javax.swing.JCheckBox implements Serializable

Serialized Fields

editedOption