Serialized Form (MOA: Massive Online Analysis 2018.07.0-SNAPSHOT API)

Package com.github.javacliparser
- Class com.github.javacliparser.AbstractClassOption extends AbstractOption implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - currentValue
```
Object currentValue
```
      The current object
    - requiredType
```
Class<T> requiredType
```
      The class type
    - defaultCLIString
```
String defaultCLIString
```
      The default command line interface text.
    - nullString
```
String nullString
```
      The null text.
- Class com.github.javacliparser.AbstractOption extends Object implements Serializable
  - Serialized Fields
    - name
```
String name
```
      Name of this option.
    - cliChar
```
char cliChar
```
      Command line interface text of this option.
    - purpose
```
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
```
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
```
    - minVal
```
double minVal
```
    - maxVal
```
double maxVal
```
- Class com.github.javacliparser.IntOption extends AbstractOption implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - currentVal
```
int currentVal
```
    - defaultVal
```
int defaultVal
```
    - minVal
```
int minVal
```
    - maxVal
```
int maxVal
```
- Class com.github.javacliparser.JavaCLIParser extends Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - handler
```
Object handler
```
    - options
```
Options options
```
      Options to handle
    - classOptionNamesToPreparedObjects
```
Map<K,V> classOptionNamesToPreparedObjects
```
      Dictionary with option texts and objects
- Class com.github.javacliparser.ListOption extends AbstractOption implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - currentList
```
Option[] currentList
```
    - expectedType
```
Option expectedType
```
    - defaultList
```
Option[] defaultList
```
    - separatorChar
```
char separatorChar
```
- Class com.github.javacliparser.MultiChoiceOption extends AbstractOption implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - optionLabels
```
String[] optionLabels
```
    - optionDescriptions
```
String[] optionDescriptions
```
    - defaultOptionIndex
```
int defaultOptionIndex
```
    - chosenOptionIndex
```
int chosenOptionIndex
```
- Class com.github.javacliparser.Options extends Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - optionList
```
List<E> 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
```
String currentVal
```
    - defaultVal
```
String defaultVal
```
Package com.github.javacliparser.gui
- Class com.github.javacliparser.gui.ClassOptionEditComponent extends JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - editedOption
```
ClassOption editedOption
```
    - textField
```
JTextField textField
```
    - editButton
```
JButton editButton
```
    - changeListeners
```
HashSet<E> changeListeners
```
      listeners that listen to changes to the chosen option.
- Class com.github.javacliparser.gui.ClassOptionWithNamesEditComponent extends JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - editedOption
```
ClassOptionWithNames editedOption
```
    - textField
```
JTextField textField
```
    - editButton
```
JButton editButton
```
    - changeListeners
```
HashSet<E> changeListeners
```
      listeners that listen to changes to the chosen option.
- Class com.github.javacliparser.gui.FileOptionEditComponent extends JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - editedOption
```
FileOption editedOption
```
    - textField
```
JTextField textField
```
    - browseButton
```
JButton browseButton
```
- Class com.github.javacliparser.gui.FlagOptionEditComponent extends JCheckBox implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - editedOption
```
FlagOption editedOption
```
- Class com.github.javacliparser.gui.FloatOptionEditComponent extends JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - editedOption
```
FloatOption editedOption
```
    - spinner
```
JSpinner spinner
```
    - slider
```
JSlider slider
```
- Class com.github.javacliparser.gui.IntOptionEditComponent extends JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - editedOption
```
IntOption editedOption
```
    - spinner
```
JSpinner spinner
```
    - slider
```
JSlider slider
```
- Class com.github.javacliparser.gui.ListOptionEditComponent extends StringOptionEditComponent implements Serializable
  
  serialVersionUID:
  
  1L
- Class com.github.javacliparser.gui.MultiChoiceOptionEditComponent extends JComboBox<String> implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - editedOption
```
MultiChoiceOption editedOption
```
- Class com.github.javacliparser.gui.OptionsConfigurationPanel extends JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - options
```
Options options
```
    - editComponents
```
List<E> editComponents
```
    - helpButton
```
JButton helpButton
```
    - resetButton
```
JButton resetButton
```
- Class com.github.javacliparser.gui.RangeOptionEditComponent extends StringOptionEditComponent implements Serializable
- Class com.github.javacliparser.gui.StringOptionEditComponent extends JTextField implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - editedOption
```
Option editedOption
```
Package com.yahoo.labs.samoa.instances
- Class com.yahoo.labs.samoa.instances.Attribute extends Object implements Serializable
  - Serialized Fields
    - isNominal
```
boolean isNominal
```
      The is nominal.
    - isNumeric
```
boolean isNumeric
```
      The is numeric.
    - isDate
```
boolean isDate
```
      The is date.
    - m_DateFormat
```
SimpleDateFormat m_DateFormat
```
      Date format specification for date attributes
    - name
```
String name
```
      The name.
    - attributeValues
```
List<E> attributeValues
```
      The attribute values.
    - valuesStringAttribute
```
Map<K,V> valuesStringAttribute
```
      The values string attribute.
- Class com.yahoo.labs.samoa.instances.AttributesInformation extends Object implements Serializable
  - Serialized Fields
    - attributes
```
Attribute[] attributes
```
      The attribute information.
    - indexValues
```
int[] indexValues
```
    - numberAttributes
```
int numberAttributes
```
      The number of attributes.
    - defaultNumericAttribute
```
Attribute defaultNumericAttribute
```
      The attribute used for default for numerical values
- Class com.yahoo.labs.samoa.instances.DenseInstance extends InstanceImpl implements Serializable
- Class com.yahoo.labs.samoa.instances.DenseInstanceData extends 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 Object implements Serializable
  - Serialized Fields
    - weight
```
double weight
```
      The weight.
    - instanceData
```
InstanceData instanceData
```
      The instance data.
    - instanceHeader
```
InstancesHeader instanceHeader
```
      The instance information.
- Class com.yahoo.labs.samoa.instances.InstanceInformation extends Object implements Serializable
  - Serialized Fields
    - relationName
```
String relationName
```
      The dataset's name.
    - attributesInformation
```
AttributesInformation attributesInformation
```
    - classIndex
```
int classIndex
```
      The class index.
    - range
```
Range range
```
      Range for multi-label instances.
- Class com.yahoo.labs.samoa.instances.Instances extends Object implements Serializable
  
  serialVersionUID:
  
  8110510475535581577L
  - Serialized Fields
    - instanceInformation
```
InstanceInformation instanceInformation
```
      The instance information.
    - instances
```
List<E> instances
```
      The instances.
    - arff
```
ArffLoader arff
```
      The arff.
    - hsAttributesIndices
```
HashMap<K,V> hsAttributesIndices
```
      A Hash that stores the indices of features.
    - indicesRelevants
```
int[] indicesRelevants
```
      Indices of relevant features.
    - indicesIrrelevants
```
int[] indicesIrrelevants
```
      Indices of irrelevant features.
- Class com.yahoo.labs.samoa.instances.InstancesHeader extends Instances implements Serializable
  
  serialVersionUID:
  
  1L
- Class com.yahoo.labs.samoa.instances.MultiLabelPrediction extends Object implements Serializable
  - Serialized Fields
    - prediction
```
DoubleVector[] prediction
```
- Class com.yahoo.labs.samoa.instances.Range extends Object implements Serializable
  - Serialized Fields
    - start
```
int start
```
    - end
```
int end
```
    - upperLimit
```
int upperLimit
```
    - rangeText
```
String rangeText
```
- Class com.yahoo.labs.samoa.instances.SamoaToWekaInstanceConverter extends 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 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 Object implements Serializable
  - Serialized Fields
    - samoaInstanceInformation
```
Instances samoaInstanceInformation
```
Package moa
- Class moa.AbstractMOAObject extends Object implements Serializable
Package moa.classifiers
- Class moa.classifiers.AbstractClassifier extends AbstractOptionHandler implements Serializable
  - Serialized Fields
    - modelContext
```
InstancesHeader modelContext
```
      Header of the instances of the data stream
    - trainingWeightSeenByModel
```
double trainingWeightSeenByModel
```
      Sum of the weights of the instances trained by this model
    - randomSeed
```
int randomSeed
```
      Random seed used in randomizable learners
    - randomSeedOption
```
IntOption randomSeedOption
```
      Option for randomizable learners to change the random seed
    - classifierRandom
```
Random classifierRandom
```
      Random Generator used in randomizable learners
- 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
```
    - budgetManagerOption
```
ClassOption budgetManagerOption
```
    - classifier
```
Classifier classifier
```
    - budgetManager
```
BudgetManager budgetManager
```
- Class moa.classifiers.active.ALUncertainty extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - activeLearningStrategyOption
```
MultiChoiceOption activeLearningStrategyOption
```
    - budgetOption
```
FloatOption budgetOption
```
    - fixedThresholdOption
```
FloatOption fixedThresholdOption
```
    - stepOption
```
FloatOption stepOption
```
    - numInstancesInitOption
```
FloatOption numInstancesInitOption
```
    - classifier
```
Classifier classifier
```
    - lastLabelAcq
```
int lastLabelAcq
```
    - costLabeling
```
int costLabeling
```
    - iterationControl
```
int iterationControl
```
    - newThreshold
```
double newThreshold
```
    - maxPosterior
```
double maxPosterior
```
    - accuracyBaseLearner
```
double accuracyBaseLearner
```
    - outPosterior
```
double outPosterior
```
Package moa.classifiers.active.budget
- Class moa.classifiers.active.budget.FixedBM extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - budgetOption
```
FloatOption budgetOption
```
    - acquisitionReport
```
int acquisitionReport
```
Package moa.classifiers.bayes
- Class moa.classifiers.bayes.NaiveBayes extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - observedClassDistribution
```
DoubleVector observedClassDistribution
```
    - attributeObservers
```
AutoExpandVector<T> attributeObservers
```
- 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
    - splitTest
```
InstanceConditionalTest splitTest
```
    - resultingClassDistributions
```
double[][] resultingClassDistributions
```
    - merit
```
double merit
```
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 Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - cut_point
```
double cut_point
```
    - classCountsLeft
```
DoubleVector classCountsLeft
```
    - classCountsRight
```
DoubleVector classCountsRight
```
    - 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 Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - cut_point
```
double cut_point
```
    - lessThan
```
double[] lessThan
```
    - greaterThan
```
double[] greaterThan
```
    - left
```
BinaryTreeNumericAttributeClassObserverRegression.Node left
```
    - right
```
BinaryTreeNumericAttributeClassObserverRegression.Node right
```
- Class moa.classifiers.core.attributeclassobservers.FIMTDDNumericAttributeClassObserver extends BinaryTreeNumericAttributeClassObserver implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - root
```
FIMTDDNumericAttributeClassObserver.Node root
```
    - sumTotalLeft
```
double sumTotalLeft
```
    - sumTotalRight
```
double sumTotalRight
```
    - sumSqTotalLeft
```
double sumSqTotalLeft
```
    - sumSqTotalRight
```
double sumSqTotalRight
```
    - countRightTotal
```
double countRightTotal
```
    - countLeftTotal
```
double countLeftTotal
```
- Class moa.classifiers.core.attributeclassobservers.FIMTDDNumericAttributeClassObserver.Node extends Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - cut_point
```
double cut_point
```
    - leftStatistics
```
DoubleVector leftStatistics
```
    - rightStatistics
```
DoubleVector rightStatistics
```
    - left
```
FIMTDDNumericAttributeClassObserver.Node left
```
    - right
```
FIMTDDNumericAttributeClassObserver.Node right
```
- Class moa.classifiers.core.attributeclassobservers.GaussianNumericAttributeClassObserver extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - minValueObservedPerClass
```
DoubleVector minValueObservedPerClass
```
    - maxValueObservedPerClass
```
DoubleVector maxValueObservedPerClass
```
    - attValDistPerClass
```
AutoExpandVector<T> attValDistPerClass
```
    - 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
    - totalWeightObserved
```
double totalWeightObserved
```
    - missingWeightObserved
```
double missingWeightObserved
```
    - attValDistPerClass
```
AutoExpandVector<T> attValDistPerClass
```
- 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
```
List<E> binList
```
    - numBinsOption
```
IntOption numBinsOption
```
- Class moa.classifiers.core.attributeclassobservers.VFMLNumericAttributeClassObserver.Bin extends Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - lowerBound
```
double lowerBound
```
    - upperBound
```
double upperBound
```
    - classWeights
```
DoubleVector classWeights
```
    - boundaryClass
```
int boundaryClass
```
    - boundaryWeight
```
double boundaryWeight
```
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
    - isChangeDetected
```
boolean isChangeDetected
```
      Change was detected
    - isWarningZone
```
boolean isWarningZone
```
      Warning Zone: after a warning and before a change
    - estimation
```
double estimation
```
      Prediction for the next value based in previous seen values
    - delay
```
double delay
```
      Delay in detecting change
    - isInitialized
```
boolean isInitialized
```
      The change detector has been initialized with the option values
- Class moa.classifiers.core.driftdetection.ADWIN extends AbstractMOAObject implements Serializable
  - Serialized Fields
    - mdbldelta
```
double mdbldelta
```
    - mintTime
```
int mintTime
```
    - mintClock
```
int mintClock
```
    - mdblWidth
```
double mdblWidth
```
    - lastBucketRow
```
int lastBucketRow
```
    - TOTAL
```
double TOTAL
```
    - VARIANCE
```
double VARIANCE
```
    - WIDTH
```
int WIDTH
```
    - BucketNumber
```
int BucketNumber
```
    - Detect
```
int Detect
```
    - numberDetections
```
int numberDetections
```
    - DetectTwice
```
int DetectTwice
```
    - blnBucketDeleted
```
boolean blnBucketDeleted
```
    - BucketNumberMAX
```
int BucketNumberMAX
```
    - mintMinWinLength
```
int mintMinWinLength
```
    - listRowBuckets
```
moa.classifiers.core.driftdetection.ADWIN.List listRowBuckets
```
- 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
    - minNumInstancesOption
```
IntOption minNumInstancesOption
```
    - deltaOption
```
FloatOption deltaOption
```
    - lambdaOption
```
FloatOption lambdaOption
```
    - m_n
```
int m_n
```
    - sum
```
double sum
```
    - x_mean
```
double x_mean
```
    - alpha
```
double alpha
```
    - delta
```
double delta
```
    - lambda
```
double lambda
```
- Class moa.classifiers.core.driftdetection.DDM extends AbstractChangeDetector implements Serializable
  
  serialVersionUID:
  
  -3518369648142099719L
  - Serialized Fields
    - minNumInstancesOption
```
IntOption minNumInstancesOption
```
    - warningLevelOption
```
FloatOption warningLevelOption
```
    - outcontrolLevelOption
```
FloatOption outcontrolLevelOption
```
    - m_n
```
int m_n
```
    - minNumInstances
```
int minNumInstances
```
    - m_p
```
double m_p
```
    - m_s
```
double m_s
```
    - m_psmin
```
double m_psmin
```
    - m_pmin
```
double m_pmin
```
    - m_smin
```
double m_smin
```
    - warningLevel
```
double warningLevel
```
    - outcontrolLevel
```
double outcontrolLevel
```
- Class moa.classifiers.core.driftdetection.EDDM extends AbstractChangeDetector implements Serializable
  
  serialVersionUID:
  
  140980267062162000L
  - Serialized Fields
    - m_numErrors
```
double m_numErrors
```
    - m_minNumErrors
```
int m_minNumErrors
```
    - m_n
```
int m_n
```
    - m_d
```
int m_d
```
    - m_lastd
```
int m_lastd
```
    - m_mean
```
double m_mean
```
    - m_stdTemp
```
double m_stdTemp
```
    - m_m2smax
```
double m_m2smax
```
    - m_lastLevel
```
int m_lastLevel
```
- Class moa.classifiers.core.driftdetection.EnsembleDriftDetectionMethods extends AbstractChangeDetector implements Serializable
  
  serialVersionUID:
  
  -3518369648142099719L
  - Serialized Fields
    - minNumInstancesOption
```
IntOption minNumInstancesOption
```
    - changeDetectorsOption
```
ListOption changeDetectorsOption
```
    - predictionOption
```
MultiChoiceOption predictionOption
```
    - cds
```
ChangeDetector[] cds
```
    - preds
```
Boolean[] preds
```
- Class moa.classifiers.core.driftdetection.EWMAChartDM extends AbstractChangeDetector implements Serializable
  
  serialVersionUID:
  
  -3518369648142099719L
  - Serialized Fields
    - minNumInstancesOption
```
IntOption minNumInstancesOption
```
    - lambdaOption
```
FloatOption lambdaOption
```
    - m_n
```
double m_n
```
    - m_sum
```
double m_sum
```
    - m_p
```
double m_p
```
    - m_s
```
double m_s
```
    - lambda
```
double lambda
```
    - z_t
```
double z_t
```
- Class moa.classifiers.core.driftdetection.GeometricMovingAverageDM extends AbstractChangeDetector implements Serializable
  
  serialVersionUID:
  
  -3518369648142099719L
  - Serialized Fields
    - minNumInstancesOption
```
IntOption minNumInstancesOption
```
    - lambdaOption
```
FloatOption lambdaOption
```
    - alphaOption
```
FloatOption alphaOption
```
    - m_n
```
double m_n
```
    - sum
```
double sum
```
    - x_mean
```
double x_mean
```
    - alpha
```
double alpha
```
    - delta
```
double delta
```
    - lambda
```
double lambda
```
- Class moa.classifiers.core.driftdetection.HDDM_A_Test extends AbstractChangeDetector implements Serializable
  - Serialized Fields
    - driftConfidenceOption
```
FloatOption driftConfidenceOption
```
    - warningConfidenceOption
```
FloatOption warningConfidenceOption
```
    - oneSidedTestOption
```
MultiChoiceOption oneSidedTestOption
```
    - n_min
```
int n_min
```
    - c_min
```
double c_min
```
    - total_n
```
int total_n
```
    - total_c
```
double total_c
```
    - n_max
```
int n_max
```
    - c_max
```
double c_max
```
    - cEstimacion
```
double cEstimacion
```
    - nEstimacion
```
int nEstimacion
```
- Class moa.classifiers.core.driftdetection.HDDM_W_Test extends AbstractChangeDetector implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - driftConfidenceOption
```
FloatOption driftConfidenceOption
```
    - warningConfidenceOption
```
FloatOption warningConfidenceOption
```
    - lambdaOption
```
FloatOption lambdaOption
```
    - oneSidedTestOption
```
MultiChoiceOption oneSidedTestOption
```
    - incrCutPoint
```
double incrCutPoint
```
    - decrCutPoint
```
double decrCutPoint
```
    - lambda
```
double lambda
```
    - warningConfidence
```
double warningConfidence
```
    - driftConfidence
```
double driftConfidence
```
    - oneSidedTest
```
boolean oneSidedTest
```
    - width
```
int width
```
- Class moa.classifiers.core.driftdetection.PageHinkleyDM extends AbstractChangeDetector implements Serializable
  
  serialVersionUID:
  
  -3518369648142099719L
  - Serialized Fields
    - minNumInstancesOption
```
IntOption minNumInstancesOption
```
    - deltaOption
```
FloatOption deltaOption
```
    - lambdaOption
```
FloatOption lambdaOption
```
    - alphaOption
```
FloatOption alphaOption
```
    - m_n
```
int m_n
```
    - sum
```
double sum
```
    - x_mean
```
double x_mean
```
    - alpha
```
double alpha
```
    - delta
```
double delta
```
    - lambda
```
double lambda
```
- Class moa.classifiers.core.driftdetection.RDDM extends AbstractChangeDetector implements Serializable
  
  serialVersionUID:
  
  -489867468386968209L
  - Serialized Fields
    - minNumInstancesOption
```
IntOption minNumInstancesOption
```
    - warningLevelOption
```
FloatOption warningLevelOption
```
    - driftLevelOption
```
FloatOption driftLevelOption
```
    - maxSizeConceptOption
```
IntOption maxSizeConceptOption
```
    - minSizeStableConceptOption
```
IntOption minSizeStableConceptOption
```
    - warnLimitOption
```
IntOption warnLimitOption
```
    - minNumInstances
```
int minNumInstances
```
    - warningLevel
```
double warningLevel
```
    - driftLevel
```
double driftLevel
```
    - maxSizeConcept
```
int maxSizeConcept
```
    - minSizeStableConcept
```
int minSizeStableConcept
```
    - warnLimit
```
int warnLimit
```
    - m_n
```
int m_n
```
    - m_p
```
double m_p
```
    - m_s
```
double m_s
```
    - m_pmin
```
double m_pmin
```
    - m_smin
```
double m_smin
```
    - m_psmin
```
double m_psmin
```
    - storedPredictions
```
byte[] storedPredictions
```
    - numStoredInstances
```
int numStoredInstances
```
    - firstPos
```
int firstPos
```
    - lastPos
```
int lastPos
```
    - pos
```
int pos
```
    - i
```
int i
```
    - lastWarnInst
```
int lastWarnInst
```
    - lastWarnPos
```
int lastWarnPos
```
    - instNum
```
int instNum
```
    - rddmDrift
```
boolean rddmDrift
```
- Class moa.classifiers.core.driftdetection.SEEDChangeDetector extends AbstractChangeDetector implements Serializable
  - Serialized Fields
    - seed
```
SEEDChangeDetector.SEED seed
```
    - deltaSEEDOption
```
FloatOption deltaSEEDOption
```
    - blockSizeSEEDOption
```
IntOption blockSizeSEEDOption
```
    - epsilonPrimeSEEDOption
```
FloatOption epsilonPrimeSEEDOption
```
    - alphaSEEDOption
```
FloatOption alphaSEEDOption
```
    - compressTermSEEDOption
```
IntOption compressTermSEEDOption
```
- Class moa.classifiers.core.driftdetection.SeqDrift1ChangeDetector extends AbstractChangeDetector implements Serializable
  - Serialized Fields
    - seqDrift1
```
SeqDrift1ChangeDetector.SeqDrift1 seqDrift1
```
    - deltaOption
```
FloatOption deltaOption
```
    - deltaWarningOption
```
FloatOption deltaWarningOption
```
    - blockSeqDriftOption
```
IntOption blockSeqDriftOption
```
- Class moa.classifiers.core.driftdetection.SeqDrift1ChangeDetector.SeqDrift1 extends AbstractMOAObject implements Serializable
  - Serialized Fields
    - leftRepository
```
SeqDrift2ChangeDetector.Repository leftRepository
```
    - rightRepository
```
SeqDrift2ChangeDetector.Repository rightRepository
```
    - uniqueRandomNumbers
```
ArrayList<E> uniqueRandomNumbers
```
    - significanceLevel
```
double significanceLevel
```
    - blockSize
```
int blockSize
```
    - sampleSize
```
int sampleSize
```
    - slidingWindowBlockCount
```
int slidingWindowBlockCount
```
    - warningSignificanceLevel
```
double warningSignificanceLevel
```
    - instanceCount
```
int instanceCount
```
    - leftRepositoryMean
```
double leftRepositoryMean
```
    - rightRepositoryMean
```
double rightRepositoryMean
```
    - blockCount
```
int blockCount
```
    - variance
```
double variance
```
    - isWarning
```
boolean isWarning
```
    - total
```
double total
```
    - epsilon
```
moa.classifiers.core.driftdetection.SeqDrift1ChangeDetector.Epsilon epsilon
```
- Class moa.classifiers.core.driftdetection.SeqDrift2ChangeDetector extends AbstractChangeDetector implements Serializable
  - Serialized Fields
    - seqdrift
```
SeqDrift2ChangeDetector.SeqDrift2 seqdrift
```
    - deltaSeqDrift2Option
```
FloatOption deltaSeqDrift2Option
```
    - blockSeqDrift2Option
```
IntOption blockSeqDrift2Option
```
- Class moa.classifiers.core.driftdetection.SeqDrift2ChangeDetector.SeqDrift2 extends AbstractMOAObject implements Serializable
  - Serialized Fields
    - rightRepository
```
SeqDrift2ChangeDetector.Reservoir rightRepository
```
    - leftReservoir
```
SeqDrift2ChangeDetector.Reservoir leftReservoir
```
    - blockSize
```
int blockSize
```
    - significanceLevel
```
double significanceLevel
```
    - leftReservoirSize
```
int leftReservoirSize
```
    - rightRepositorySize
```
int rightRepositorySize
```
    - k
```
double k
```
    - instanceCount
```
int instanceCount
```
    - leftReservoirMean
```
double leftReservoirMean
```
    - rightRepositoryMean
```
double rightRepositoryMean
```
    - variance
```
double variance
```
    - total
```
double total
```
    - epsilon
```
double epsilon
```
- Class moa.classifiers.core.driftdetection.STEPD extends AbstractChangeDetector implements Serializable
  
  serialVersionUID:
  
  -3518369648142099719L
  - Serialized Fields
    - windowSizeOption
```
IntOption windowSizeOption
```
    - alphaDriftOption
```
FloatOption alphaDriftOption
```
    - alphaWarningOption
```
FloatOption alphaWarningOption
```
    - windowSize
```
int windowSize
```
    - alphaDrift
```
double alphaDrift
```
    - alphaWarning
```
double alphaWarning
```
    - storedPredictions
```
byte[] storedPredictions
```
    - firstPos
```
int firstPos
```
    - lastPos
```
int lastPos
```
    - ro
```
double ro
```
    - rr
```
double rr
```
    - wo
```
double wo
```
    - wr
```
double wr
```
    - no
```
int no
```
    - nr
```
int nr
```
    - p
```
double p
```
    - Z
```
double Z
```
    - sizeInvertedSum
```
double sizeInvertedSum
```
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
    - sample1i
```
List<E> sample1i
```
    - sample2i
```
List<E> sample2i
```
    - confidenceLevelOption
```
FloatOption confidenceLevelOption
```
    - replicatesOption
```
IntOption replicatesOption
```
    - kernelOption
```
MultiChoiceOption kernelOption
```
    - maxMOption
```
FloatOption maxMOption
```
    - kOption
```
IntOption kOption
```
- Class moa.classifiers.core.statisticaltests.KNN extends AbstractOptionHandler implements Serializable
  - Serialized Fields
    - sample1i
```
List<E> sample1i
```
    - sample2i
```
List<E> sample2i
```
    - kValueOption
```
IntOption kValueOption
```
Package moa.classifiers.drift
- Class moa.classifiers.drift.DriftDetectionMethodClassifier extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - driftDetectionMethodOption
```
ClassOption driftDetectionMethodOption
```
    - classifier
```
Classifier classifier
```
    - newclassifier
```
Classifier newclassifier
```
    - driftDetectionMethod
```
ChangeDetector driftDetectionMethod
```
    - newClassifierReset
```
boolean newClassifierReset
```
    - ddmLevel
```
int ddmLevel
```
    - changeDetected
```
int changeDetected
```
    - 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
    - m_epsilon
```
double m_epsilon
```
      The epsilon value
    - epsilonOption
```
FloatOption epsilonOption
```
    - m_velocity
```
DoubleVector m_velocity
```
      Stores the weights (+ bias in the last element)
    - m_biasVelocity
```
double m_biasVelocity
```
- 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
```
    - weightAttribute
```
double[][] weightAttribute
```
    - reset
```
boolean reset
```
    - numberAttributes
```
int numberAttributes
```
    - numberClasses
```
int numberClasses
```
    - numberDetections
```
int numberDetections
```
- Class moa.classifiers.functions.SGD extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  -3732968666673530290L
  - Serialized Fields
    - m_lambda
```
double m_lambda
```
      The regularization parameter
    - lambdaRegularizationOption
```
FloatOption lambdaRegularizationOption
```
    - m_learningRate
```
double m_learningRate
```
      The learning rate
    - learningRateOption
```
FloatOption learningRateOption
```
    - m_weights
```
DoubleVector m_weights
```
      Stores the weights (+ bias in the last element)
    - m_bias
```
double m_bias
```
    - m_t
```
double m_t
```
      Holds the current iteration number
    - m_numInstances
```
double m_numInstances
```
      The number of training instances
    - m_loss
```
int m_loss
```
      The current loss function to minimize
    - lossFunctionOption
```
MultiChoiceOption lossFunctionOption
```
- Class moa.classifiers.functions.SGDMultiClass extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  -3732968666673530290L
  - Serialized Fields
    - m_lambda
```
double m_lambda
```
      The regularization parameter
    - lambdaRegularizationOption
```
FloatOption lambdaRegularizationOption
```
    - m_learningRate
```
double m_learningRate
```
      The learning rate
    - learningRateOption
```
FloatOption learningRateOption
```
    - m_weights
```
DoubleVector[] m_weights
```
      Stores the weights (+ bias in the last element)
    - m_bias
```
double[] m_bias
```
    - m_t
```
double m_t
```
      Holds the current iteration number
    - m_numInstances
```
double m_numInstances
```
      The number of training instances
    - m_loss
```
int m_loss
```
      The current loss function to minimize
    - lossFunctionOption
```
MultiChoiceOption lossFunctionOption
```
- Class moa.classifiers.functions.SPegasos extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  -3732968666673530290L
  - Serialized Fields
    - m_lambda
```
double m_lambda
```
      The regularization parameter
    - lambdaRegularizationOption
```
FloatOption lambdaRegularizationOption
```
    - m_loss
```
int m_loss
```
      The current loss function to minimize
    - lossFunctionOption
```
MultiChoiceOption lossFunctionOption
```
    - m_weights
```
double[] m_weights
```
      Stores the weights (+ bias in the last element)
    - m_t
```
double m_t
```
      Holds the current iteration number
Package moa.classifiers.lazy
- Class moa.classifiers.lazy.kNN extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - kOption
```
IntOption kOption
```
    - limitOption
```
IntOption limitOption
```
    - nearestNeighbourSearchOption
```
MultiChoiceOption nearestNeighbourSearchOption
```
    - C
```
int C
```
    - 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
```
    - timeStamp
```
ArrayList<E> timeStamp
```
    - prob
```
double prob
```
    - time
```
int time
```
- Class moa.classifiers.lazy.SAMkNN extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - kOption
```
IntOption kOption
```
    - limitOption
```
IntOption limitOption
```
    - minSTMSizeOption
```
IntOption minSTMSizeOption
```
    - relativeLTMSizeOption
```
FloatOption relativeLTMSizeOption
```
    - recalculateSTMErrorOption
```
FlagOption recalculateSTMErrorOption
```
    - maxClassValue
```
int maxClassValue
```
    - stm
```
Instances stm
```
    - ltm
```
Instances ltm
```
    - maxLTMSize
```
int maxLTMSize
```
    - maxSTMSize
```
int maxSTMSize
```
    - stmHistory
```
List<E> stmHistory
```
    - ltmHistory
```
List<E> ltmHistory
```
    - cmHistory
```
List<E> cmHistory
```
    - distanceMatrixSTM
```
double[][] distanceMatrixSTM
```
    - predictionHistories
```
Map<K,V> predictionHistories
```
    - random
```
Random random
```
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_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_Root
```
KDTreeNode m_Root
```
      The root node of the tree.
    - m_Splitter
```
KDTreeNodeSplitter m_Splitter
```
      The node splitter.
    - m_NumNodes
```
int m_NumNodes
```
      Tree stats.
    - m_NumLeaves
```
int m_NumLeaves
```
      Tree stats.
    - m_MaxDepth
```
int m_MaxDepth
```
      Tree stats.
    - m_NormalizeNodeWidth
```
boolean m_NormalizeNodeWidth
```
      flag for normalizing.
    - m_EuclideanDistance
```
EuclideanDistance m_EuclideanDistance
```
      The euclidean distance function to use.
    - m_MinBoxRelWidth
```
double m_MinBoxRelWidth
```
      minimal relative width of a KDTree rectangle.
    - m_MaxInstInLeaf
```
int m_MaxInstInLeaf
```
      maximal number of instances in a leaf.
- 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 Object implements Serializable
  - Serialized Fields
    - 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_DistanceFunction
```
DistanceFunction m_DistanceFunction
```
      the distance function used.
    - m_MeasurePerformance
```
boolean m_MeasurePerformance
```
      Should we measure Performance.
Package moa.classifiers.lazy.neighboursearch.kdtrees
- Class moa.classifiers.lazy.neighboursearch.kdtrees.KDTreeNode extends Object implements Serializable
  
  serialVersionUID:
  
  -3660396067582792648L
  - Serialized Fields
    - m_NodeNumber
```
int m_NodeNumber
```
      node number (only for debug).
    - m_Left
```
KDTreeNode m_Left
```
      left subtree; contains instances with smaller or equal to split value.
    - m_Right
```
KDTreeNode m_Right
```
      right subtree; contains instances with larger than split value.
    - m_SplitValue
```
double m_SplitValue
```
      value to split on.
    - m_SplitDim
```
int m_SplitDim
```
      attribute to split on.
    - 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_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.
    - 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.
- Class moa.classifiers.lazy.neighboursearch.kdtrees.KDTreeNodeSplitter extends Object implements Serializable
  - Serialized Fields
    - m_Instances
```
Instances m_Instances
```
      The instances that'll be used for tree construction.
    - m_EuclideanDistance
```
EuclideanDistance m_EuclideanDistance
```
      The distance function used for building the tree.
    - 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
    - learnerOption
```
ClassOption learnerOption
```
      Type of classifier to use as a component classifier.
    - memberCountOption
```
IntOption memberCountOption
```
      Number of component classifiers.
    - chunkSizeOption
```
IntOption chunkSizeOption
```
      Chunk size.
    - maxByteSizeOption
```
IntOption maxByteSizeOption
```
      Determines the maximum size of model (evaluated after every chunk).
    - weights
```
double[][] weights
```
      The weights of stored classifiers. weights[x][0] = weight weights[x][1] = classifier number in learners
    - classDistributions
```
long[] classDistributions
```
      Class distributions.
    - learners
```
Classifier[] learners
```
      Ensemble classifiers.
    - processedInstances
```
int processedInstances
```
      Number of processed examples.
    - candidate
```
Classifier candidate
```
      Candidate classifier.
    - currentChunk
```
Instances currentChunk
```
      Current chunk of instances.
- Class moa.classifiers.meta.AccuracyWeightedEnsemble extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learnerOption
```
ClassOption learnerOption
```
      Type of classifier to use as a component classifier.
    - memberCountOption
```
FloatOption memberCountOption
```
      Number of component classifiers.
    - storedCountOption
```
FloatOption storedCountOption
```
      Number of classifiers remembered and available for ensemble construction.
    - chunkSizeOption
```
IntOption chunkSizeOption
```
      Chunk size.
    - numFoldsOption
```
IntOption numFoldsOption
```
      Number of folds in candidate classifier cross-validation.
    - classDistributions
```
long[] classDistributions
```
    - ensemble
```
Classifier[] ensemble
```
    - storedLearners
```
Classifier[] storedLearners
```
    - ensembleWeights
```
double[] ensembleWeights
```
    - storedWeights
```
double[][] storedWeights
```
      The weights of stored classifiers. storedWeights[x][0] = weight storedWeights[x][1] = classifier
    - processedInstances
```
int processedInstances
```
    - chunkSize
```
int chunkSize
```
    - numFolds
```
int numFolds
```
    - maxMemberCount
```
int maxMemberCount
```
    - maxStoredCount
```
int maxStoredCount
```
    - candidateClassifier
```
Classifier candidateClassifier
```
    - currentChunk
```
Instances currentChunk
```
- Class moa.classifiers.meta.ADACC extends DACC implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - tauSizeOption
```
IntOption tauSizeOption
```
      Evaluation window for the stability index computation
    - stabIndexSizeOption
```
FloatOption stabIndexSizeOption
```
      Threshold for the stability index
    - equivIndexSizeOption
```
FloatOption equivIndexSizeOption
```
      Threshold for concept equivalence
    - tau_size
```
int tau_size
```
      Size of the evaluation window to compute the stability index
    - recentChunk
```
Instances recentChunk
```
      Last chunk of data of size (tau_size) to compute the stability index
    - theta_stab
```
double theta_stab
```
      Threshold values for the stability index and concept equivalence
    - theta_diff
```
double theta_diff
```
      Threshold values for the stability index and concept equivalence
    - index
```
double index
```
      Current stability index
    - addedPermanent
```
int addedPermanent
```
      Number of added snapshots
- Class moa.classifiers.meta.AdaptiveRandomForest extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - treeLearnerOption
```
ClassOption treeLearnerOption
```
    - ensembleSizeOption
```
IntOption ensembleSizeOption
```
    - mFeaturesModeOption
```
MultiChoiceOption mFeaturesModeOption
```
    - mFeaturesPerTreeSizeOption
```
IntOption mFeaturesPerTreeSizeOption
```
    - lambdaOption
```
FloatOption lambdaOption
```
    - numberOfJobsOption
```
IntOption numberOfJobsOption
```
    - driftDetectionMethodOption
```
ClassOption driftDetectionMethodOption
```
    - warningDetectionMethodOption
```
ClassOption warningDetectionMethodOption
```
    - disableWeightedVote
```
FlagOption disableWeightedVote
```
    - disableDriftDetectionOption
```
FlagOption disableDriftDetectionOption
```
    - disableBackgroundLearnerOption
```
FlagOption disableBackgroundLearnerOption
```
    - ensemble
```
AdaptiveRandomForest.ARFBaseLearner[] ensemble
```
    - instancesSeen
```
long instancesSeen
```
    - subspaceSize
```
int subspaceSize
```
    - evaluator
```
BasicClassificationPerformanceEvaluator evaluator
```
    - executor
```
ExecutorService executor
```
- Class moa.classifiers.meta.AdaptiveRandomForest.ARFBaseLearner extends AbstractMOAObject implements Serializable
  - Serialized Fields
    - indexOriginal
```
int indexOriginal
```
    - createdOn
```
long createdOn
```
    - lastDriftOn
```
long lastDriftOn
```
    - lastWarningOn
```
long lastWarningOn
```
    - classifier
```
ARFHoeffdingTree classifier
```
    - isBackgroundLearner
```
boolean isBackgroundLearner
```
    - driftOption
```
ClassOption driftOption
```
    - warningOption
```
ClassOption warningOption
```
    - driftDetectionMethod
```
ChangeDetector driftDetectionMethod
```
    - warningDetectionMethod
```
ChangeDetector warningDetectionMethod
```
    - useBkgLearner
```
boolean useBkgLearner
```
    - useDriftDetector
```
boolean useDriftDetector
```
    - bkgLearner
```
AdaptiveRandomForest.ARFBaseLearner bkgLearner
```
    - evaluator
```
BasicClassificationPerformanceEvaluator evaluator
```
    - numberOfDriftsDetected
```
int numberOfDriftsDetected
```
    - numberOfWarningsDetected
```
int numberOfWarningsDetected
```
- Class moa.classifiers.meta.ADOB extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - ensembleSizeOption
```
IntOption ensembleSizeOption
```
    - pureBoostOption
```
FlagOption pureBoostOption
```
    - ensemble
```
Classifier[] ensemble
```
    - orderPosition
```
int[] orderPosition
```
    - scms
```
double[] scms
```
    - swms
```
double[] swms
```
- Class moa.classifiers.meta.BOLE extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - ensembleSizeOption
```
IntOption ensembleSizeOption
```
    - pureBoostOption
```
FlagOption pureBoostOption
```
    - breakVotesOption
```
FlagOption breakVotesOption
```
    - errorBoundOption
```
FloatOption errorBoundOption
```
    - weightShiftOption
```
FloatOption weightShiftOption
```
    - memberWeight
```
double memberWeight
```
    - key_acc
```
double key_acc
```
    - key_position
```
int key_position
```
    - i
```
int i
```
    - j
```
int j
```
    - maxAcc
```
int maxAcc
```
    - minAcc
```
int minAcc
```
    - pos
```
int pos
```
    - lambda_d
```
double lambda_d
```
    - k
```
double k
```
    - correct
```
boolean correct
```
    - okay
```
boolean okay
```
    - em
```
double em
```
    - Bm
```
double Bm
```
    - ensemble
```
Classifier[] ensemble
```
    - orderPosition
```
int[] orderPosition
```
    - scms
```
double[] scms
```
    - swms
```
double[] swms
```
- Class moa.classifiers.meta.DACC extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learnerOption
```
ClassOption learnerOption
```
      Base classifier
    - memberCountOption
```
FloatOption memberCountOption
```
      Ensemble size
    - maturityOption
```
FloatOption maturityOption
```
      Maturity age of classifiers
    - evaluationSizeOption
```
FloatOption evaluationSizeOption
```
      Size of the evaluation window for weights computing
    - 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
    - ensembleWeights
```
DACC.Pair[] ensembleWeights
```
      Weights of classifiers
    - ensembleAges
```
double[] ensembleAges
```
      Age of classifiers (to compare with maturity age)
    - ensembleWindows
```
int[][] ensembleWindows
```
      Evaluation windows (recent classification errors)
    - nbInstances
```
int nbInstances
```
      Number of instances from the stream
- Class moa.classifiers.meta.DACC.Pair extends Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - val
```
double val
```
    - index
```
int index
```
- Class moa.classifiers.meta.DynamicWeightedMajority extends AbstractClassifier implements Serializable
  - Serialized Fields
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - periodOption
```
IntOption periodOption
```
    - betaOption
```
FloatOption betaOption
```
    - thetaOption
```
FloatOption thetaOption
```
    - maxExpertsOption
```
IntOption maxExpertsOption
```
    - experts
```
List<E> experts
```
    - weights
```
List<E> weights
```
    - epochs
```
long epochs
```
- Class moa.classifiers.meta.HeterogeneousEnsembleAbstract extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - baselearnersOption
```
ListOption baselearnersOption
```
    - gracePerionOption
```
IntOption gracePerionOption
```
    - activeClassifiersOption
```
IntOption activeClassifiersOption
```
    - weightClassifiersOption
```
FlagOption weightClassifiersOption
```
    - ensemble
```
Classifier[] ensemble
```
    - historyTotal
```
double[] historyTotal
```
    - instancesSeen
```
Integer instancesSeen
```
    - topK
```
List<E> topK
```
- 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
    - trainingErrors
```
int trainingErrors
```
    - alphaOption
```
FloatOption alphaOption
```
- Class moa.classifiers.meta.LearnNSE extends AbstractClassifier implements Serializable
  - Serialized Fields
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - periodOption
```
IntOption periodOption
```
    - sigmoidSlopeOption
```
FloatOption sigmoidSlopeOption
```
    - sigmoidCrossingPointOption
```
FloatOption sigmoidCrossingPointOption
```
    - ensembleSizeOption
```
IntOption ensembleSizeOption
```
    - pruningStrategyOption
```
MultiChoiceOption pruningStrategyOption
```
    - ensemble
```
List<E> ensemble
```
    - ensembleWeights
```
List<E> ensembleWeights
```
    - bkts
```
List<E> bkts
```
    - wkts
```
List<E> wkts
```
    - buffer
```
Instances buffer
```
    - index
```
long index
```
    - slope
```
double slope
```
    - crossingPoint
```
double crossingPoint
```
    - pruning
```
int pruning
```
    - ensembleSize
```
int ensembleSize
```
- Class moa.classifiers.meta.LeveragingBag extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - ensembleSizeOption
```
IntOption ensembleSizeOption
```
    - weightShrinkOption
```
FloatOption weightShrinkOption
```
    - deltaAdwinOption
```
FloatOption deltaAdwinOption
```
    - outputCodesOption
```
FlagOption outputCodesOption
```
    - leveraginBagAlgorithmOption
```
MultiChoiceOption leveraginBagAlgorithmOption
```
    - ensemble
```
Classifier[] ensemble
```
    - ADError
```
ADWIN[] ADError
```
    - numberOfChangesDetected
```
int numberOfChangesDetected
```
    - matrixCodes
```
int[][] matrixCodes
```
    - initMatrixCodes
```
boolean initMatrixCodes
```
- Class moa.classifiers.meta.LimAttClassifier extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - numAttributesOption
```
IntOption numAttributesOption
```
    - weightShrinkOption
```
FloatOption weightShrinkOption
```
    - deltaAdwinOption
```
FloatOption deltaAdwinOption
```
    - oddsOffsetOption
```
FloatOption oddsOffsetOption
```
    - pruneOption
```
FlagOption pruneOption
```
    - bigTreesOption
```
FlagOption bigTreesOption
```
    - numEnsemblePruningOption
```
IntOption numEnsemblePruningOption
```
    - adwinReplaceWorstClassifierOption
```
FlagOption adwinReplaceWorstClassifierOption
```
    - ensemble
```
Classifier[] ensemble
```
    - ADError
```
ADWIN[] ADError
```
    - numberOfChangesDetected
```
int numberOfChangesDetected
```
    - matrixCodes
```
int[][] matrixCodes
```
    - initMatrixCodes
```
boolean initMatrixCodes
```
    - initClassifiers
```
boolean initClassifiers
```
    - numberAttributes
```
int numberAttributes
```
    - numInstances
```
int numInstances
```
    - learningRatioOption
```
FloatOption learningRatioOption
```
    - penaltyFactorOption
```
FloatOption penaltyFactorOption
```
    - initialNumInstancesOption
```
IntOption initialNumInstancesOption
```
    - weightAttribute
```
double[][] weightAttribute
```
    - reset
```
boolean reset
```
- Class moa.classifiers.meta.OCBoost extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - ensembleSizeOption
```
IntOption ensembleSizeOption
```
    - smoothingOption
```
FloatOption smoothingOption
```
    - ensemble
```
Classifier[] ensemble
```
    - alpha
```
double[] alpha
```
    - alphainc
```
double[] alphainc
```
    - pipos
```
double[] pipos
```
    - pineg
```
double[] pineg
```
    - wpos
```
double[][] wpos
```
    - wneg
```
double[][] wneg
```
- Class moa.classifiers.meta.OnlineAccuracyUpdatedEnsemble extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learnerOption
```
ClassOption learnerOption
```
      Type of classifier to use as a component classifier.
    - memberCountOption
```
IntOption memberCountOption
```
      Number of component classifiers.
    - windowSizeOption
```
FloatOption windowSizeOption
```
      Chunk size.
    - maxByteSizeOption
```
IntOption maxByteSizeOption
```
      Determines the maximum size of model (evaluated after every chunk).
    - verboseOption
```
FlagOption verboseOption
```
      Determines whether additional information should be sent to the output.
    - linearOption
```
FlagOption linearOption
```
      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
    - classDistributions
```
long[] classDistributions
```
      Class distributions.
    - ensemble
```
OnlineAccuracyUpdatedEnsemble.ClassifierWithMemory[] ensemble
```
      Ensemble classifiers.
    - processedInstances
```
int processedInstances
```
      Number of processed examples.
    - candidate
```
OnlineAccuracyUpdatedEnsemble.ClassifierWithMemory candidate
```
      Candidate classifier.
    - currentWindow
```
int[] currentWindow
```
      Current window of instance class values.
    - mse_r
```
double mse_r
```
      The mean square residual in a given moment, based on a window of latest examples.
    - windowSize
```
int windowSize
```
      Window size.
- Class moa.classifiers.meta.OnlineSmoothBoost extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - ensembleSizeOption
```
IntOption ensembleSizeOption
```
    - gammaOption
```
FloatOption gammaOption
```
    - ensemble
```
Classifier[] ensemble
```
    - alpha
```
double[] alpha
```
    - gamma
```
double gamma
```
    - theta
```
double theta
```
- Class moa.classifiers.meta.OzaBag extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - ensembleSizeOption
```
IntOption ensembleSizeOption
```
    - ensemble
```
Classifier[] ensemble
```
- Class moa.classifiers.meta.OzaBagAdwin extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - ensembleSizeOption
```
IntOption ensembleSizeOption
```
    - ensemble
```
Classifier[] ensemble
```
    - ADError
```
ADWIN[] ADError
```
- Class moa.classifiers.meta.OzaBagASHT extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - ensembleSizeOption
```
IntOption ensembleSizeOption
```
    - firstClassifierSizeOption
```
IntOption firstClassifierSizeOption
```
    - useWeightOption
```
FlagOption useWeightOption
```
    - resetTreesOption
```
FlagOption resetTreesOption
```
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - ensemble
```
ASHoeffdingTree[] ensemble
```
    - error
```
double[] error
```
    - alpha
```
double alpha
```
- Class moa.classifiers.meta.OzaBoost extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - ensembleSizeOption
```
IntOption ensembleSizeOption
```
    - pureBoostOption
```
FlagOption pureBoostOption
```
    - ensemble
```
Classifier[] ensemble
```
    - scms
```
double[] scms
```
    - swms
```
double[] swms
```
- Class moa.classifiers.meta.OzaBoostAdwin extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - ensembleSizeOption
```
IntOption ensembleSizeOption
```
    - pureBoostOption
```
FlagOption pureBoostOption
```
    - deltaAdwinOption
```
FloatOption deltaAdwinOption
```
    - outputCodesOption
```
FlagOption outputCodesOption
```
    - sammeOption
```
FlagOption sammeOption
```
    - ensemble
```
Classifier[] ensemble
```
    - scms
```
double[] scms
```
    - swms
```
double[] swms
```
    - ADError
```
ADWIN[] ADError
```
    - numberOfChangesDetected
```
int numberOfChangesDetected
```
    - matrixCodes
```
int[][] matrixCodes
```
    - initMatrixCodes
```
boolean initMatrixCodes
```
    - logKm1
```
double logKm1
```
    - Km1
```
int Km1
```
    - initKm1
```
boolean initKm1
```
- Class moa.classifiers.meta.PairedLearners extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - stableLearnerOption
```
ClassOption stableLearnerOption
```
    - reactiveLearnerOption
```
ClassOption reactiveLearnerOption
```
    - windowSizeOption
```
IntOption windowSizeOption
```
    - thresholdOption
```
FloatOption thresholdOption
```
    - c
```
int[] c
```
    - stableLearner
```
Classifier stableLearner
```
    - reactiveLearner
```
Classifier reactiveLearner
```
    - t
```
int t
```
    - w
```
int w
```
    - theta
```
int theta
```
    - instances
```
Instance[] instances
```
    - changeDetected
```
int changeDetected
```
    - numberOfErrors
```
int numberOfErrors
```
    - i
```
int i
```
- Class moa.classifiers.meta.RandomRules extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - VerbosityOption
```
IntOption VerbosityOption
```
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - ensembleSizeOption
```
IntOption ensembleSizeOption
```
    - numAttributesPercentageOption
```
FloatOption numAttributesPercentageOption
```
    - useBaggingOption
```
FlagOption useBaggingOption
```
    - ensemble
```
Classifier[] ensemble
```
    - isRegression
```
boolean isRegression
```
    - listAttributes
```
int[][] listAttributes
```
    - numAttributes
```
int numAttributes
```
    - dataset
```
InstancesHeader[] dataset
```
- Class moa.classifiers.meta.RCD extends SingleClassifierDrift implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - statisticalTestOption
```
ClassOption statisticalTestOption
```
    - similarityBetweenDistributionsOption
```
FloatOption similarityBetweenDistributionsOption
```
    - bufferSizeOption
```
IntOption bufferSizeOption
```
    - testFrequencyOption
```
IntOption testFrequencyOption
```
    - classifiersSizeOption
```
IntOption classifiersSizeOption
```
    - threadSizeOption
```
IntOption threadSizeOption
```
    - quantityClassifiersTestOption
```
IntOption quantityClassifiersTestOption
```
    - classifiers
```
List<E> classifiers
```
    - currentChunk
```
List<E> currentChunk
```
    - currentChunk2
```
List<E> currentChunk2
```
    - testChunk
```
List<E> testChunk
```
    - bufferSize
```
int bufferSize
```
    - previousState
```
int previousState
```
    - index
```
int index
```
- Class moa.classifiers.meta.TemporallyAugmentedClassifier extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - numOldLabelsOption
```
IntOption numOldLabelsOption
```
    - baseLearner
```
Classifier baseLearner
```
    - oldLabels
```
double[] oldLabels
```
    - header
```
Instances header
```
    - labelDelayOption
```
FlagOption labelDelayOption
```
- Class moa.classifiers.meta.WeightedMajorityAlgorithm extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learnerListOption
```
ListOption learnerListOption
```
    - betaOption
```
FloatOption betaOption
```
    - gammaOption
```
FloatOption gammaOption
```
    - pruneOption
```
FlagOption pruneOption
```
    - ensemble
```
Classifier[] ensemble
```
    - ensembleWeights
```
double[] ensembleWeights
```
- Class moa.classifiers.meta.WEKAClassifier extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - instanceConverter
```
SamoaToWekaInstanceConverter instanceConverter
```
    - baseLearnerOption
```
WEKAClassOption baseLearnerOption
```
    - widthOption
```
IntOption widthOption
```
    - widthInitOption
```
IntOption widthInitOption
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - classifier
```
weka.classifiers.Classifier classifier
```
    - numberInstances
```
int numberInstances
```
    - instancesBuffer
```
weka.core.Instances instancesBuffer
```
    - isClassificationEnabled
```
boolean isClassificationEnabled
```
    - isBufferStoring
```
boolean isBufferStoring
```
Package moa.classifiers.multilabel
- Class moa.classifiers.multilabel.MajorityLabelset extends AbstractMultiLabelLearner implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - maxValue
```
double maxValue
```
    - majorityLabelset
```
MultiLabelPrediction majorityLabelset
```
    - vectorCounts
```
HashMap<K,V> vectorCounts
```
- Class moa.classifiers.multilabel.MEKAClassifier extends AbstractMultiLabelLearner implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - instanceConverter
```
SamoaToWekaInstanceConverter instanceConverter
```
    - baseLearnerOption
```
WEKAClassOption baseLearnerOption
```
    - classifier
```
weka.classifiers.Classifier classifier
```
    - 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
    - treeRoot
```
ISOUPTree.Node treeRoot
```
    - leafNodeCount
```
int leafNodeCount
```
    - splitNodeCount
```
int splitNodeCount
```
    - examplesSeen
```
double examplesSeen
```
    - sumOfValues
```
DoubleVector sumOfValues
```
    - sumOfSquares
```
DoubleVector sumOfSquares
```
    - sumOfAttrValues
```
DoubleVector sumOfAttrValues
```
    - sumOfAttrSquares
```
DoubleVector sumOfAttrSquares
```
    - maxID
```
int maxID
```
    - gracePeriodOption
```
IntOption gracePeriodOption
```
    - splitConfidenceOption
```
FloatOption splitConfidenceOption
```
    - tieThresholdOption
```
FloatOption tieThresholdOption
```
    - alternateTreeFadingFactorOption
```
FloatOption alternateTreeFadingFactorOption
```
    - alternateTreeTMinOption
```
IntOption alternateTreeTMinOption
```
    - alternateTreeTimeOption
```
IntOption alternateTreeTimeOption
```
    - regressionTreeOption
```
FlagOption regressionTreeOption
```
    - learningRatioOption
```
FloatOption learningRatioOption
```
    - learningRateDecayFactorOption
```
FloatOption learningRateDecayFactorOption
```
    - learningRatioConstOption
```
FlagOption learningRatioConstOption
```
    - doNotNormalizeOption
```
FlagOption doNotNormalizeOption
```
- Class moa.classifiers.multilabel.trees.ISOUPTree.InnerNode extends ISOUPTree.Node implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - children
```
AutoExpandVector<T> children
```
    - sumOfAbsErrors
```
DoubleVector sumOfAbsErrors
```
    - PHsums
```
DoubleVector PHsums
```
    - PHmins
```
DoubleVector PHmins
```
    - lossExamplesSeen
```
double lossExamplesSeen
```
    - lossFadedSumOriginal
```
double lossFadedSumOriginal
```
    - lossFadedSumAlternate
```
double lossFadedSumAlternate
```
    - lossNumQiTests
```
double lossNumQiTests
```
    - lossSumQi
```
double lossSumQi
```
    - previousWeight
```
double previousWeight
```
- Class moa.classifiers.multilabel.trees.ISOUPTree.LeafNode extends ISOUPTree.Node implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learningModel
```
ISOUPTree.MultitargetPerceptron learningModel
```
    - errorP
```
DoubleVector errorP
```
    - errorM
```
DoubleVector errorM
```
    - examplesSeenAtLastSplitEvaluation
```
double examplesSeenAtLastSplitEvaluation
```
- Class moa.classifiers.multilabel.trees.ISOUPTree.Node extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - weightSeenAtLastSplitEvaluation
```
double weightSeenAtLastSplitEvaluation
```
    - ID
```
int ID
```
    - tree
```
ISOUPTree tree
```
    - parent
```
ISOUPTree.SplitNode parent
```
    - alternateTree
```
ISOUPTree.Node alternateTree
```
    - originalNode
```
ISOUPTree.Node originalNode
```
    - attributeObservers
```
AutoExpandVector<T> attributeObservers
```
    - changeDetection
```
boolean changeDetection
```
    - examplesSeen
```
double examplesSeen
```
    - sumOfValues
```
DoubleVector sumOfValues
```
    - sumOfSquares
```
DoubleVector sumOfSquares
```
- 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
    - randomSeedOption
```
IntOption randomSeedOption
```
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - ensemble
```
Classifier[] ensemble
```
    - hasStarted
```
boolean hasStarted
```
    - header
```
InstancesHeader[] header
```
- Class moa.classifiers.multitarget.BasicMultiTargetRegressor extends AbstractMultiLabelLearner implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - randomSeedOption
```
IntOption randomSeedOption
```
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - ensemble
```
Classifier[] ensemble
```
    - hasStarted
```
boolean hasStarted
```
    - header
```
InstancesHeader[] header
```
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.rules
- Class moa.classifiers.rules.AbstractAMRules extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - ruleSet
```
RuleSet ruleSet
```
    - defaultRule
```
Rule defaultRule
```
    - ruleNumberID
```
int ruleNumberID
```
    - statistics
```
double[] statistics
```
    - splitConfidenceOption
```
FloatOption splitConfidenceOption
```
    - tieThresholdOption
```
FloatOption tieThresholdOption
```
    - gracePeriodOption
```
IntOption gracePeriodOption
```
    - DriftDetectionOption
```
FlagOption DriftDetectionOption
```
    - pageHinckleyAlphaOption
```
FloatOption pageHinckleyAlphaOption
```
    - pageHinckleyThresholdOption
```
IntOption pageHinckleyThresholdOption
```
    - noAnomalyDetectionOption
```
FlagOption noAnomalyDetectionOption
```
    - multivariateAnomalyProbabilityThresholdOption
```
FloatOption multivariateAnomalyProbabilityThresholdOption
```
    - univariateAnomalyprobabilityThresholdOption
```
FloatOption univariateAnomalyprobabilityThresholdOption
```
    - anomalyNumInstThresholdOption
```
IntOption anomalyNumInstThresholdOption
```
    - unorderedRulesOption
```
FlagOption unorderedRulesOption
```
    - VerbosityOption
```
IntOption VerbosityOption
```
    - numericObserverOption
```
ClassOption numericObserverOption
```
    - attributesPercentage
```
double attributesPercentage
```
    - numChangesDetected
```
double numChangesDetected
```
      AMRules Algorithm. Method for updating (training) the AMRules model using a new instance
    - numAnomaliesDetected
```
double numAnomaliesDetected
```
    - numInstances
```
double numInstances
```
- 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
```
    - votingTypeOption
```
ClassOption votingTypeOption
```
    - splitCriterionOption
```
ClassOption splitCriterionOption
```
- 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
    - predicateSet
```
ArrayList<E> predicateSet
```
    - observers
```
AutoExpandVector<T> observers
```
    - observersGauss
```
AutoExpandVector<T> observersGauss
```
    - attributeStatisticsSupervised
```
ArrayList<E> attributeStatisticsSupervised
```
    - squaredAttributeStatisticsSupervised
```
ArrayList<E> squaredAttributeStatisticsSupervised
```
    - weightAttribute
```
double[] weightAttribute
```
    - attributeStatistics
```
DoubleVector attributeStatistics
```
    - attributesProbability
```
DoubleVector attributesProbability
```
    - squaredAttributeStatistics
```
DoubleVector squaredAttributeStatistics
```
    - obserClassDistrib
```
DoubleVector obserClassDistrib
```
    - attributeMissingValues
```
DoubleVector attributeMissingValues
```
    - instancesSeen
```
int instancesSeen
```
    - instancesSeenTest
```
int instancesSeenTest
```
    - reset
```
boolean reset
```
    - actualClassStatistics
```
double actualClassStatistics
```
    - squaredActualClassStatistics
```
double squaredActualClassStatistics
```
    - PHmT
```
double PHmT
```
    - PHMT
```
double PHMT
```
    - XiSum
```
double XiSum
```
    - ValorTargetRule
```
double ValorTargetRule
```
- Class moa.classifiers.rules.RuleClassifier extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - instance
```
Instance instance
```
    - attributeObservers
```
AutoExpandVector<T> attributeObservers
```
    - attributeObserversGauss
```
AutoExpandVector<T> attributeObserversGauss
```
    - observedClassDistribution
```
DoubleVector observedClassDistribution
```
    - saveBestEntropy
```
DoubleVector saveBestEntropy
```
    - saveBestEntropyNominalAttrib
```
DoubleVector saveBestEntropyNominalAttrib
```
    - ruleClassIndex
```
DoubleVector ruleClassIndex
```
    - saveBestGlobalEntropy
```
DoubleVector saveBestGlobalEntropy
```
    - saveBestValGlobalEntropy
```
ArrayList<E> saveBestValGlobalEntropy
```
    - saveTheBest
```
ArrayList<E> saveTheBest
```
    - ruleSet
```
ArrayList<E> ruleSet
```
    - ruleSetAnomalies
```
ArrayList<E> ruleSetAnomalies
```
    - ruleAnomaliesIndex
```
ArrayList<E> ruleAnomaliesIndex
```
    - caseAnomaly
```
ArrayList<E> caseAnomaly
```
    - ruleAttribAnomalyStatistics
```
ArrayList<E> ruleAttribAnomalyStatistics
```
    - ruleSetAnomaliesSupervised
```
ArrayList<E> ruleSetAnomaliesSupervised
```
    - ruleAnomaliesIndexSupervised
```
ArrayList<E> ruleAnomaliesIndexSupervised
```
    - caseAnomalySupervised
```
ArrayList<E> caseAnomalySupervised
```
    - ruleAttribAnomalyStatisticsSupervised
```
ArrayList<E> ruleAttribAnomalyStatisticsSupervised
```
    - minEntropyTemp
```
double minEntropyTemp
```
    - cutPointTemp
```
double cutPointTemp
```
    - minEntropyNominalAttrib
```
double minEntropyNominalAttrib
```
    - symbol
```
double symbol
```
    - numInstance
```
int numInstance
```
    - numAttributes
```
int numAttributes
```
    - numClass
```
int numClass
```
    - root
```
BinaryTreeNumericAttributeClassObserver.Node root
```
    - pred
```
Predicates pred
```
    - PminOption
```
FloatOption PminOption
```
    - splitConfidenceOption
```
FloatOption splitConfidenceOption
```
    - tieThresholdOption
```
FloatOption tieThresholdOption
```
    - anomalyProbabilityThresholdOption
```
FloatOption anomalyProbabilityThresholdOption
```
    - probabilityThresholdOption
```
FloatOption probabilityThresholdOption
```
    - anomalyNumInstThresholdOption
```
IntOption anomalyNumInstThresholdOption
```
    - gracePeriodOption
```
IntOption gracePeriodOption
```
    - predictionFunctionOption
```
MultiChoiceOption predictionFunctionOption
```
    - orderedRulesOption
```
FlagOption orderedRulesOption
```
    - anomalyDetectionOption
```
FlagOption anomalyDetectionOption
```
    - Supervised
```
FlagOption Supervised
```
    - 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
    - inputAttributeIndex
```
int inputAttributeIndex
```
    - attributeValue
```
double attributeValue
```
    - isEqual
```
boolean isEqual
```
- Class moa.classifiers.rules.core.NumericRulePredicate extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - inputAttributeIndex
```
int inputAttributeIndex
```
    - attributeValue
```
double attributeValue
```
    - isEqualOrLower
```
boolean isEqualOrLower
```
- Class moa.classifiers.rules.core.Rule extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - nodeList
```
List<E> nodeList
```
    - learningNode
```
RuleActiveLearningNode learningNode
```
    - ruleNumberID
```
int ruleNumberID
```
    - statisticsOtherBranchSplit
```
double[] statisticsOtherBranchSplit
```
    - builder
```
Rule.Builder builder
```
    - amRules
```
AbstractAMRules amRules
```
- Class moa.classifiers.rules.core.Rule.Builder extends Object implements Serializable
  
  serialVersionUID:
  
  1712887264918475622L
  - Serialized Fields
    - changeDetection
```
boolean changeDetection
```
    - usePerceptron
```
boolean usePerceptron
```
    - threshold
```
double threshold
```
    - alpha
```
double alpha
```
    - predictionFunction
```
int predictionFunction
```
    - statistics
```
double[] statistics
```
    - lastTargetMean
```
double lastTargetMean
```
    - owner
```
Rule owner
```
    - constantLearningRatioDecayOption
```
FlagOption constantLearningRatioDecayOption
```
    - learningRatioOption
```
FloatOption learningRatioOption
```
    - id
```
int id
```
    - amRules
```
AbstractAMRules amRules
```
- Class moa.classifiers.rules.core.RuleActiveLearningNode extends HoeffdingTree.ActiveLearningNode implements Serializable
  
  serialVersionUID:
  
  9129659494380381126L
  - Serialized Fields
    - pageHinckleyTest
```
PageHinkleyTest pageHinckleyTest
```
    - predictionFunction
```
int predictionFunction
```
    - changeDetection
```
boolean changeDetection
```
    - owner
```
Rule owner
```
    - attributesMask
```
boolean[] attributesMask
```
    - numAttributesSelected
```
int numAttributesSelected
```
    - nodeStatistics
```
DoubleVector nodeStatistics
```
    - amRules
```
AbstractAMRules amRules
```
    - bestSuggestion
```
AttributeSplitSuggestion bestSuggestion
```
    - splitIndex
```
int splitIndex
```
    - statisticsNewRuleActiveLearningNode
```
double[] statisticsNewRuleActiveLearningNode
```
    - statisticsBranchSplit
```
double[] statisticsBranchSplit
```
    - 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 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
    - percentageAnomalousAttributesOption
```
FloatOption percentageAnomalousAttributesOption
```
    - univariateAnomalyprobabilityThresholdOption
```
FloatOption univariateAnomalyprobabilityThresholdOption
```
    - minNumberInstancesOption
```
IntOption minNumberInstancesOption
```
    - probabilityFunctionOption
```
ClassOption probabilityFunctionOption
```
    - minInstances
```
int minInstances
```
    - weightSeen
```
double weightSeen
```
    - univariateThreshold
```
double univariateThreshold
```
    - percentageAnomalous
```
double percentageAnomalous
```
    - sufficientStatistics
```
AutoExpandVector<T> sufficientStatistics
```
    - probabilityFunction
```
ProbabilityFunction probabilityFunction
```
    - anomalyScore
```
double anomalyScore
```
- 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
    - minNumberInstancesOption
```
IntOption minNumberInstancesOption
```
    - thresholdOption
```
FloatOption thresholdOption
```
    - probabilityFunctionOption
```
ClassOption probabilityFunctionOption
```
    - minInstances
```
int minInstances
```
    - weightSeen
```
double weightSeen
```
    - threshold
```
double threshold
```
    - sufficientStatistics
```
AutoExpandVector<T> sufficientStatistics
```
    - probabilityFunction
```
ProbabilityFunction probabilityFunction
```
    - anomalyScore
```
double anomalyScore
```
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
    - votes
```
List<E> votes
```
    - errors
```
List<E> errors
```
    - 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 Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - cumulativeSum
```
double cumulativeSum
```
    - minimumValue
```
double minimumValue
```
    - sumAbsolutError
```
double sumAbsolutError
```
    - phinstancesSeen
```
long phinstancesSeen
```
    - threshold
```
double threshold
```
    - alpha
```
double alpha
```
Package moa.classifiers.rules.errormeasurers
- Class moa.classifiers.rules.errormeasurers.ErrorMeasurement extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - fadingErrorFactorOption
```
FloatOption fadingErrorFactorOption
```
    - fadingErrorFactor
```
double fadingErrorFactor
```
- Class moa.classifiers.rules.errormeasurers.MeanAbsoluteDeviation extends ErrorMeasurement implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - weightSeen
```
double weightSeen
```
    - sumError
```
double sumError
```
- Class moa.classifiers.rules.errormeasurers.RootMeanSquaredError extends ErrorMeasurement implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - weightSeen
```
double weightSeen
```
    - sumSquaredError
```
double sumSquaredError
```
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
```
HashMap<K,V> ruleInformation
```
- Class moa.classifiers.rules.featureranking.MeritFeatureRanking extends AbstractFeatureRanking implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - attributeImportance
```
DoubleVector attributeImportance
```
    - ruleInformation
```
HashMap<K,V> 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
```
    - ruleInformation
```
HashMap<K,V> ruleInformation
```
    - meritThresholdOption
```
FloatOption meritThresholdOption
```
Package moa.classifiers.rules.functions
- Class moa.classifiers.rules.functions.AdaptiveNodePredictor extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - p
```
Perceptron p
```
    - tm
```
TargetMean tm
```
    - hasStarted
```
boolean hasStarted
```
- Class moa.classifiers.rules.functions.FadingTargetMean extends TargetMean implements Serializable
  
  serialVersionUID:
  
  -1383391769242905972L
  - Serialized Fields
    - fadingFactorOption
```
FloatOption fadingFactorOption
```
    - nD
```
double nD
```
    - fadingFactor
```
double fadingFactor
```
- Class moa.classifiers.rules.functions.LowPassFilteredLearner extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - alphaOption
```
FloatOption alphaOption
```
    - learner
```
AbstractClassifier learner
```
    - hasStarted
```
boolean hasStarted
```
    - lastX
```
double lastX
```
    - lastY
```
double lastY
```
    - alpha
```
double alpha
```
- Class moa.classifiers.rules.functions.Perceptron extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - SD_THRESHOLD
```
double SD_THRESHOLD
```
    - constantLearningRatioDecayOption
```
FlagOption constantLearningRatioDecayOption
```
    - learningRatioOption
```
FloatOption learningRatioOption
```
    - learningRateDecayOption
```
FloatOption learningRateDecayOption
```
    - fadingFactorOption
```
FloatOption fadingFactorOption
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - nError
```
double nError
```
    - fadingFactor
```
double fadingFactor
```
    - learningRatio
```
double learningRatio
```
    - learningRateDecay
```
double learningRateDecay
```
    - weightAttribute
```
double[] weightAttribute
```
    - perceptronattributeStatistics
```
DoubleVector perceptronattributeStatistics
```
    - squaredperceptronattributeStatistics
```
DoubleVector squaredperceptronattributeStatistics
```
    - perceptronInstancesSeen
```
double perceptronInstancesSeen
```
    - perceptronYSeen
```
double perceptronYSeen
```
    - accumulatedError
```
double accumulatedError
```
    - initialisePerceptron
```
boolean initialisePerceptron
```
    - perceptronsumY
```
double perceptronsumY
```
    - squaredperceptronsumY
```
double squaredperceptronsumY
```
    - numericAttributesIndex
```
int[] numericAttributesIndex
```
- Class moa.classifiers.rules.functions.TargetMean extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  7152547322803559115L
  - Serialized Fields
    - n
```
double n
```
    - sum
```
double sum
```
    - errorSum
```
double errorSum
```
    - nError
```
double nError
```
    - fadingErrorFactor
```
double fadingErrorFactor
```
    - fadingErrorFactorOption
```
FloatOption fadingErrorFactorOption
```
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
    - VerbosityOption
```
IntOption VerbosityOption
```
    - baseLearnerOption
```
ClassOption baseLearnerOption
```
    - ensembleSizeOption
```
IntOption ensembleSizeOption
```
    - numAttributesPercentageOption
```
FloatOption numAttributesPercentageOption
```
    - useBaggingOption
```
FlagOption useBaggingOption
```
    - votingFunctionOption
```
ClassOption votingFunctionOption
```
    - votingTypeOption
```
MultiChoiceOption votingTypeOption
```
    - fadingErrorFactorOption
```
FloatOption fadingErrorFactorOption
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - ensemble
```
AbstractAMRules[] ensemble
```
    - sumError
```
double[] sumError
```
    - nError
```
double[] nError
```
    - isRegression
```
boolean isRegression
```
    - listAttributes
```
int[][] listAttributes
```
    - numAttributes
```
int numAttributes
```
    - dataset
```
InstancesHeader[] dataset
```
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
    - ruleSet
```
MultiLabelRuleSet ruleSet
```
    - defaultRule
```
MultiLabelRule defaultRule
```
    - ruleNumberID
```
int ruleNumberID
```
    - statistics
```
double[] statistics
```
    - observer
```
ObserverMOAObject observer
```
    - splitConfidenceOption
```
FloatOption splitConfidenceOption
```
    - tieThresholdOption
```
FloatOption tieThresholdOption
```
    - gracePeriodOption
```
IntOption gracePeriodOption
```
    - learnerOption
```
ClassOption learnerOption
```
    - unorderedRulesOption
```
FlagOption unorderedRulesOption
```
    - dropOldRuleAfterExpansionOption
```
FlagOption dropOldRuleAfterExpansionOption
```
    - changeDetector
```
ClassOption changeDetector
```
    - anomalyDetector
```
ClassOption anomalyDetector
```
    - splitCriterionOption
```
ClassOption splitCriterionOption
```
    - errorMeasurerOption
```
ClassOption errorMeasurerOption
```
    - weightedVoteOption
```
ClassOption weightedVoteOption
```
    - numericObserverOption
```
ClassOption numericObserverOption
```
    - nominalObserverOption
```
ClassOption nominalObserverOption
```
    - VerbosityOption
```
IntOption VerbosityOption
```
    - outputSelectorOption
```
ClassOption outputSelectorOption
```
    - inputSelectorOption
```
ClassOption inputSelectorOption
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - featureRankingOption
```
ClassOption featureRankingOption
```
    - nAttributes
```
int nAttributes
```
    - attributesPercentage
```
double attributesPercentage
```
    - numChangesDetected
```
double numChangesDetected
```
      AMRules Algorithm. Method for updating (training) the AMRules model using a new instance
    - numAnomaliesDetected
```
double numAnomaliesDetected
```
    - numInstances
```
double numInstances
```
    - featureRanking
```
FeatureRanking featureRanking
```
- Class moa.classifiers.rules.multilabel.AMRulesMultiLabelLearnerSemiSuper extends AbstractMultiLabelLearner implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - ruleSet
```
MultiLabelRuleSet ruleSet
```
    - defaultRule
```
MultiLabelRule defaultRule
```
    - ruleNumberID
```
int ruleNumberID
```
    - statistics
```
double[] statistics
```
    - observer
```
ObserverMOAObject observer
```
    - splitConfidenceOption
```
FloatOption splitConfidenceOption
```
    - tieThresholdOption
```
FloatOption tieThresholdOption
```
    - gracePeriodOption
```
IntOption gracePeriodOption
```
    - learnerOption
```
ClassOption learnerOption
```
    - unorderedRulesOption
```
FlagOption unorderedRulesOption
```
    - dropOldRuleAfterExpansionOption
```
FlagOption dropOldRuleAfterExpansionOption
```
    - changeDetector
```
ClassOption changeDetector
```
    - anomalyDetector
```
ClassOption anomalyDetector
```
    - splitCriterionOption
```
ClassOption splitCriterionOption
```
    - errorMeasurerOption
```
ClassOption errorMeasurerOption
```
    - weightedVoteOption
```
ClassOption weightedVoteOption
```
    - numericObserverOption
```
ClassOption numericObserverOption
```
    - nominalObserverOption
```
ClassOption nominalObserverOption
```
    - VerbosityOption
```
IntOption VerbosityOption
```
    - outputSelectorOption
```
ClassOption outputSelectorOption
```
    - inputSelectorOption
```
ClassOption inputSelectorOption
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - featureRankingOption
```
ClassOption featureRankingOption
```
    - scoreThreshold
```
FloatOption scoreThreshold
```
    - slidingWindowSize
```
IntOption slidingWindowSize
```
    - slidingWindowStep
```
IntOption slidingWindowStep
```
    - nAttributes
```
int nAttributes
```
    - attributesPercentage
```
double attributesPercentage
```
    - numChangesDetected
```
double numChangesDetected
```
      AMRules Algorithm. Method for updating (training) the AMRules model using a new instance
    - numAnomaliesDetected
```
double numAnomaliesDetected
```
    - numInstances
```
double numInstances
```
    - featureRanking
```
FeatureRanking featureRanking
```
    - prediction
```
Prediction prediction
```
    - numberTotalExamples
```
int numberTotalExamples
```
    - hasModel
```
boolean hasModel
```
    - isUnlabeled
```
boolean isUnlabeled
```
    - anomalyDetector2
```
AnomalyDetector anomalyDetector2
```
- 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
    - maxNodesOption
```
IntOption maxNodesOption
```
    - maxNodes
```
int maxNodes
```
    - numNodes
```
int numNodes
```
    - root
```
MultiLabelBSTree.Node root
```
    - leftStatistics
```
DoubleVector[] leftStatistics
```
    - rightStatistics
```
DoubleVector[] rightStatistics
```
- Class moa.classifiers.rules.multilabel.attributeclassobservers.MultiLabelBSTree.Node extends Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - cutPoint
```
double cutPoint
```
    - leftStatistics
```
DoubleVector[] leftStatistics
```
    - rightStatistics
```
DoubleVector[] rightStatistics
```
    - left
```
MultiLabelBSTree.Node left
```
    - right
```
MultiLabelBSTree.Node right
```
- Class moa.classifiers.rules.multilabel.attributeclassobservers.MultiLabelBSTreeFloat extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - maxNodesOption
```
IntOption maxNodesOption
```
    - maxNodes
```
int maxNodes
```
    - numNodes
```
int numNodes
```
    - root
```
MultiLabelBSTreeFloat.Node root
```
    - leftStatistics
```
DoubleVector[] leftStatistics
```
    - rightStatistics
```
DoubleVector[] rightStatistics
```
- Class moa.classifiers.rules.multilabel.attributeclassobservers.MultiLabelBSTreeFloat.Node extends Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - cutPoint
```
float cutPoint
```
    - leftStatistics
```
SingleVector[] leftStatistics
```
    - rightStatistics
```
SingleVector[] rightStatistics
```
    - left
```
MultiLabelBSTreeFloat.Node left
```
    - right
```
MultiLabelBSTreeFloat.Node right
```
- Class moa.classifiers.rules.multilabel.attributeclassobservers.MultiLabelNominalAttributeObserver extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - addUndeclaredValuesOption
```
FlagOption addUndeclaredValuesOption
```
    - statisticsByNominalValue
```
HashMap<K,V> 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
    - predicate
```
Predicate predicate
```
    - resultingNodeStatistics
```
DoubleVector[][] resultingNodeStatistics
```
    - merit
```
double merit
```
- Class moa.classifiers.rules.multilabel.core.LearningLiteral extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - attributeObservers
```
AutoExpandVector<T> attributeObservers
```
    - literalStatistics
```
DoubleVector[] literalStatistics
```
    - outputsToLearn
```
int[] outputsToLearn
```
    - inputsToLearn
```
int[] inputsToLearn
```
    - learner
```
MultiLabelLearner learner
```
    - errorMeasurer
```
MultiLabelErrorMeasurer errorMeasurer
```
    - changeDetectors
```
ChangeDetector[] changeDetectors
```
    - changeDetector
```
ChangeDetector changeDetector
```
    - anomalyDetector
```
AnomalyDetector anomalyDetector
```
    - splitCriterion
```
MultiLabelSplitCriterion splitCriterion
```
    - weightSeen
```
double weightSeen
```
    - hasStarted
```
boolean hasStarted
```
    - expandedLearningLiteral
```
LearningLiteral expandedLearningLiteral
```
    - otherBranchLearningLiteral
```
LearningLiteral otherBranchLearningLiteral
```
    - otherOutputsLearningLiteral
```
LearningLiteral otherOutputsLearningLiteral
```
    - bestSuggestion
```
AttributeExpansionSuggestion bestSuggestion
```
    - numericStatisticsObserver
```
NumericStatisticsObserver numericStatisticsObserver
```
    - nominalStatisticsObserver
```
NominalStatisticsObserver nominalStatisticsObserver
```
    - outputSelector
```
OutputAttributesSelector outputSelector
```
    - inputSelector
```
InputAttributesSelector inputSelector
```
    - instanceInformation
```
InstanceInformation instanceInformation
```
    - randomGenerator
```
Random randomGenerator
```
    - attributesMask
```
boolean[] attributesMask
```
    - attributesPercentage
```
double attributesPercentage
```
    - instanceTransformer
```
InstanceTransformer instanceTransformer
```
    - instanceHeader
```
InstancesHeader instanceHeader
```
    - meritPerInput
```
double[] meritPerInput
```
- 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
    - literalList
```
List<E> literalList
```
    - learningLiteral
```
LearningLiteral learningLiteral
```
    - ruleNumberID
```
int ruleNumberID
```
    - otherBranchRule
```
MultiLabelRule otherBranchRule
```
    - otherOutputsRule
```
MultiLabelRule otherOutputsRule
```
    - instanceInformation
```
InstanceInformation instanceInformation
```
- 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 LinkedList<MultiLabelRule> implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.rules.multilabel.core.ObservableMOAObject extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - observers
```
List<E> 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
    - votes
```
List<E> votes
```
    - errors
```
List<E> errors
```
    - weights
```
double[][] weights
```
    - outputAttributesCount
```
int[] outputAttributesCount
```
    - weightedVote
```
Prediction weightedVote
```
- 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
    - fadingErrorFactorOption
```
FloatOption fadingErrorFactorOption
```
    - fadingErrorFactor
```
double fadingErrorFactor
```
- 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
    - weightSeen
```
double weightSeen
```
    - sumError
```
double[] sumError
```
    - hasStarted
```
boolean hasStarted
```
    - numLearnedOutputs
```
int numLearnedOutputs
```
- Class moa.classifiers.rules.multilabel.errormeasurers.RelativeMeanAbsoluteDeviationMT extends AbstractMultiTargetErrorMeasurer implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - weightSeen
```
double weightSeen
```
    - sumError
```
double[] sumError
```
    - sumY
```
double[] sumY
```
    - sumErrorToTargetMean
```
double[] sumErrorToTargetMean
```
    - hasStarted
```
boolean hasStarted
```
    - numLearnedOutputs
```
int numLearnedOutputs
```
- Class moa.classifiers.rules.multilabel.errormeasurers.RelativeRootMeanSquaredErrorMT extends AbstractMultiTargetErrorMeasurer implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - weightSeen
```
double weightSeen
```
    - sumY
```
double[] sumY
```
    - sumSquaredError
```
double[] sumSquaredError
```
    - sumSquaredErrorToTargetMean
```
double[] sumSquaredErrorToTargetMean
```
    - hasStarted
```
boolean hasStarted
```
    - numLearnedOutputs
```
int numLearnedOutputs
```
- Class moa.classifiers.rules.multilabel.errormeasurers.RootMeanSquaredErrorMT extends AbstractMultiTargetErrorMeasurer implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - weightSeen
```
double weightSeen
```
    - sumSquaredError
```
double[] sumSquaredError
```
    - hasStarted
```
boolean hasStarted
```
    - numLearnedOutputs
```
int numLearnedOutputs
```
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
    - baseLearnerOption1
```
ClassOption baseLearnerOption1
```
    - baseLearnerOption2
```
ClassOption baseLearnerOption2
```
    - errorMeasurerOption
```
ClassOption errorMeasurerOption
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - hasStarted
```
boolean hasStarted
```
    - baseLearner
```
MultiTargetRegressor[] baseLearner
```
    - errorMeasurer
```
MultiTargetErrorMeasurer[] errorMeasurer
```
- 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
    - SD_THRESHOLD
```
double SD_THRESHOLD
```
    - constantLearningRatioDecayOption
```
FlagOption constantLearningRatioDecayOption
```
    - learningRatioOption
```
FloatOption learningRatioOption
```
    - learningRatio2ndLayerOption
```
FloatOption learningRatio2ndLayerOption
```
    - learningRateDecayOption
```
FloatOption learningRateDecayOption
```
    - skipStackingOption
```
FlagOption skipStackingOption
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - printWeightsOption
```
FlagOption printWeightsOption
```
    - hasStarted
```
boolean hasStarted
```
    - count
```
double count
```
    - inAttrSum
```
double[] inAttrSum
```
    - inAttrSquaredSum
```
double[] inAttrSquaredSum
```
    - outAttrSum
```
double[] outAttrSum
```
    - outAttrSquaredSum
```
double[] outAttrSquaredSum
```
    - layer1Weights
```
double[][] layer1Weights
```
    - layer2Weights
```
double[][] layer2Weights
```
    - currentLearningRate
```
double currentLearningRate
```
    - numericIndices
```
LinkedList<E> numericIndices
```
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
    - targetInstances
```
InstancesHeader targetInstances
```
    - targetInputIndices
```
int[] targetInputIndices
```
    - targetOutputIndices
```
int[] targetOutputIndices
```
    - numSourceInstancesOutputs
```
int numSourceInstancesOutputs
```
- Class moa.classifiers.rules.multilabel.instancetransformers.InstanceOutputAttributesSelector extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - targetInstances
```
InstancesHeader targetInstances
```
    - targetOutputIndices
```
int[] targetOutputIndices
```
    - numSourceInstancesOutputs
```
int numSourceInstancesOutputs
```
- 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

nAttributes
```
int nAttributes
```
VerbosityOption
```
IntOption VerbosityOption
```
baseLearnerOption
```
ClassOption baseLearnerOption
```
ensembleSizeOption
```
IntOption ensembleSizeOption
```

numAttributesPercentageOption

FloatOption numAttributesPercentageOption

useBaggingOption
```
FlagOption useBaggingOption
```
votingFunctionOption
```
ClassOption votingFunctionOption
```
votingTypeOption
```
MultiChoiceOption votingTypeOption
```
randomSeedOption
```
IntOption randomSeedOption
```
ensemble
```
AMRulesMultiLabelLearner[] ensemble
```
errorMeasurer
```
MultiLabelErrorMeasurer[] errorMeasurer
```
errorMeasurerOption
```
ClassOption errorMeasurerOption
```
featureRankingOption
```
ClassOption featureRankingOption
```
isRegression
```
boolean isRegression
```
featureRanking
```
FeatureRanking featureRanking
```

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
    - mcCorrectWeight
```
double mcCorrectWeight
```
    - nbCorrectWeight
```
double nbCorrectWeight
```
    - CorrectWeight
```
double CorrectWeight
```
    - alpha
```
double alpha
```
- 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
    - gracePeriodOption
```
IntOption gracePeriodOption
```
    - binarySplitsOption
```
FlagOption binarySplitsOption
```
    - splitCriterionOption
```
ClassOption splitCriterionOption
```
    - bestSplit
```
AttributeSplitSuggestion bestSplit
```
    - observedClassDistribution
```
DoubleVector observedClassDistribution
```
    - attributeObservers
```
AutoExpandVector<T> attributeObservers
```
    - weightSeenAtLastSplit
```
double weightSeenAtLastSplit
```
- Class moa.classifiers.trees.FIMTDD extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - treeRoot
```
FIMTDD.Node treeRoot
```
    - leafNodeCount
```
int leafNodeCount
```
    - splitNodeCount
```
int splitNodeCount
```
    - examplesSeen
```
double examplesSeen
```
    - sumOfValues
```
double sumOfValues
```
    - sumOfSquares
```
double sumOfSquares
```
    - sumOfAttrValues
```
DoubleVector sumOfAttrValues
```
    - sumOfAttrSquares
```
DoubleVector sumOfAttrSquares
```
    - maxID
```
int maxID
```
    - splitCriterionOption
```
ClassOption splitCriterionOption
```
    - gracePeriodOption
```
IntOption gracePeriodOption
```
    - splitConfidenceOption
```
FloatOption splitConfidenceOption
```
    - tieThresholdOption
```
FloatOption tieThresholdOption
```
    - PageHinckleyAlphaOption
```
FloatOption PageHinckleyAlphaOption
```
    - PageHinckleyThresholdOption
```
IntOption PageHinckleyThresholdOption
```
    - alternateTreeFadingFactorOption
```
FloatOption alternateTreeFadingFactorOption
```
    - alternateTreeTMinOption
```
IntOption alternateTreeTMinOption
```
    - alternateTreeTimeOption
```
IntOption alternateTreeTimeOption
```
    - regressionTreeOption
```
FlagOption regressionTreeOption
```
    - learningRatioOption
```
FloatOption learningRatioOption
```
    - learningRateDecayFactorOption
```
FloatOption learningRateDecayFactorOption
```
    - learningRatioConstOption
```
FlagOption learningRatioConstOption
```
- Class moa.classifiers.trees.FIMTDD.FIMTDDPerceptron extends Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - tree
```
FIMTDD tree
```
    - weightAttribute
```
DoubleVector weightAttribute
```
    - sumOfValues
```
double sumOfValues
```
    - sumOfSquares
```
double sumOfSquares
```
    - instancesSeen
```
double instancesSeen
```
    - reset
```
boolean reset
```
- Class moa.classifiers.trees.FIMTDD.InnerNode extends FIMTDD.Node implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - children
```
AutoExpandVector<T> children
```
    - PHsum
```
double PHsum
```
    - PHmin
```
double PHmin
```
    - lossExamplesSeen
```
double lossExamplesSeen
```
    - lossFadedSumOriginal
```
double lossFadedSumOriginal
```
    - lossFadedSumAlternate
```
double lossFadedSumAlternate
```
    - lossNumQiTests
```
double lossNumQiTests
```
    - lossSumQi
```
double lossSumQi
```
    - previousWeight
```
double previousWeight
```
- Class moa.classifiers.trees.FIMTDD.LeafNode extends FIMTDD.Node implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learningModel
```
FIMTDD.FIMTDDPerceptron learningModel
```
    - attributeObservers
```
AutoExpandVector<T> attributeObservers
```
    - examplesSeenAtLastSplitEvaluation
```
double examplesSeenAtLastSplitEvaluation
```
- Class moa.classifiers.trees.FIMTDD.Node extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - ID
```
int ID
```
    - tree
```
FIMTDD tree
```
    - changeDetection
```
boolean changeDetection
```
    - parent
```
FIMTDD.Node parent
```
    - alternateTree
```
FIMTDD.Node alternateTree
```
    - originalNode
```
FIMTDD.Node originalNode
```
    - examplesSeen
```
double examplesSeen
```
    - sumOfValues
```
double sumOfValues
```
    - sumOfSquares
```
double sumOfSquares
```
    - sumOfAbsErrors
```
double sumOfAbsErrors
```
- 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
    - estimationErrorWeight
```
ADWIN estimationErrorWeight
```
    - ErrorChange
```
boolean ErrorChange
```
    - randomSeed
```
int randomSeed
```
    - classifierRandom
```
Random classifierRandom
```
- Class moa.classifiers.trees.HoeffdingAdaptiveTree.AdaSplitNode extends HoeffdingTree.SplitNode implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - alternateTree
```
HoeffdingTree.Node alternateTree
```
    - estimationErrorWeight
```
ADWIN estimationErrorWeight
```
    - ErrorChange
```
boolean ErrorChange
```
    - randomSeed
```
int randomSeed
```
    - classifierRandom
```
Random classifierRandom
```
- 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
    - maxOptionPathsOption
```
IntOption maxOptionPathsOption
```
    - maxByteSizeOption
```
IntOption maxByteSizeOption
```
    - numericEstimatorOption
```
ClassOption numericEstimatorOption
```
    - nominalEstimatorOption
```
ClassOption nominalEstimatorOption
```
    - memoryEstimatePeriodOption
```
IntOption memoryEstimatePeriodOption
```
    - gracePeriodOption
```
IntOption gracePeriodOption
```
    - splitCriterionOption
```
ClassOption splitCriterionOption
```
    - splitConfidenceOption
```
FloatOption splitConfidenceOption
```
    - secondarySplitConfidenceOption
```
FloatOption secondarySplitConfidenceOption
```
    - tieThresholdOption
```
FloatOption tieThresholdOption
```
    - binarySplitsOption
```
FlagOption binarySplitsOption
```
    - removePoorAttsOption
```
FlagOption removePoorAttsOption
```
    - noPrePruneOption
```
FlagOption noPrePruneOption
```
    - dumpFileOption
```
FileOption dumpFileOption
```
    - memoryStrategyOption
```
IntOption memoryStrategyOption
```
    - treeRoot
```
HoeffdingOptionTree.Node treeRoot
```
    - decisionNodeCount
```
int decisionNodeCount
```
    - activeLeafNodeCount
```
int activeLeafNodeCount
```
    - inactiveLeafNodeCount
```
int inactiveLeafNodeCount
```
    - inactiveLeafByteSizeEstimate
```
double inactiveLeafByteSizeEstimate
```
    - activeLeafByteSizeEstimate
```
double activeLeafByteSizeEstimate
```
    - byteSizeEstimateOverheadFraction
```
double byteSizeEstimateOverheadFraction
```
    - maxPredictionPaths
```
int maxPredictionPaths
```
    - leafpredictionOption
```
MultiChoiceOption leafpredictionOption
```
    - nbThresholdOption
```
IntOption nbThresholdOption
```
- Class moa.classifiers.trees.HoeffdingOptionTree.ActiveLearningNode extends HoeffdingOptionTree.LearningNode implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - weightSeenAtLastSplitEvaluation
```
double weightSeenAtLastSplitEvaluation
```
    - attributeObservers
```
AutoExpandVector<T> attributeObservers
```
- 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
    - splitTest
```
InstanceConditionalTest splitTest
```
    - parent
```
HoeffdingOptionTree.SplitNode parent
```
    - nextOption
```
HoeffdingOptionTree.Node nextOption
```
    - optionCount
```
int optionCount
```
    - children
```
AutoExpandVector<T> children
```
- Class moa.classifiers.trees.HoeffdingTree extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - maxByteSizeOption
```
IntOption maxByteSizeOption
```
    - numericEstimatorOption
```
ClassOption numericEstimatorOption
```
    - nominalEstimatorOption
```
ClassOption nominalEstimatorOption
```
    - memoryEstimatePeriodOption
```
IntOption memoryEstimatePeriodOption
```
    - gracePeriodOption
```
IntOption gracePeriodOption
```
    - splitCriterionOption
```
ClassOption splitCriterionOption
```
    - splitConfidenceOption
```
FloatOption splitConfidenceOption
```
    - tieThresholdOption
```
FloatOption tieThresholdOption
```
    - binarySplitsOption
```
FlagOption binarySplitsOption
```
    - stopMemManagementOption
```
FlagOption stopMemManagementOption
```
    - removePoorAttsOption
```
FlagOption removePoorAttsOption
```
    - noPrePruneOption
```
FlagOption noPrePruneOption
```
    - treeRoot
```
HoeffdingTree.Node treeRoot
```
    - decisionNodeCount
```
int decisionNodeCount
```
    - activeLeafNodeCount
```
int activeLeafNodeCount
```
    - inactiveLeafNodeCount
```
int inactiveLeafNodeCount
```
    - inactiveLeafByteSizeEstimate
```
double inactiveLeafByteSizeEstimate
```
    - activeLeafByteSizeEstimate
```
double activeLeafByteSizeEstimate
```
    - byteSizeEstimateOverheadFraction
```
double byteSizeEstimateOverheadFraction
```
    - growthAllowed
```
boolean growthAllowed
```
    - leafpredictionOption
```
MultiChoiceOption leafpredictionOption
```
    - nbThresholdOption
```
IntOption nbThresholdOption
```
- Class moa.classifiers.trees.HoeffdingTree.ActiveLearningNode extends HoeffdingTree.LearningNode implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - weightSeenAtLastSplitEvaluation
```
double weightSeenAtLastSplitEvaluation
```
    - attributeObservers
```
AutoExpandVector<T> attributeObservers
```
    - isInitialized
```
boolean isInitialized
```
- 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
    - splitTest
```
InstanceConditionalTest splitTest
```
    - children
```
AutoExpandVector<T> children
```
- 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
    - weightSeenAtLastSplitEvaluation
```
double weightSeenAtLastSplitEvaluation
```
    - listAttributes
```
int[] listAttributes
```
    - numAttributes
```
int numAttributes
```
- Class moa.classifiers.trees.ORTO extends FIMTDD implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - innerNodeCount
```
int innerNodeCount
```
    - optionNodeCount
```
int optionNodeCount
```
    - numTrees
```
int numTrees
```
    - maxTreesOption
```
IntOption maxTreesOption
```
    - maxOptionLevelOption
```
IntOption maxOptionLevelOption
```
    - optionDecayFactorOption
```
FloatOption optionDecayFactorOption
```
    - optionNodeAggregationOption
```
MultiChoiceOption optionNodeAggregationOption
```
    - optionFadingFactorOption
```
FloatOption optionFadingFactorOption
```
- Class moa.classifiers.trees.ORTO.OptionNode extends FIMTDD.InnerNode implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - optionFFSSL
```
double[] optionFFSSL
```
    - optionFFSeen
```
double[] optionFFSeen
```
- 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
    - numericEstimatorOption
```
ClassOption numericEstimatorOption
```
    - gracePeriodOption
```
IntOption gracePeriodOption
```
    - splitCriterionOption
```
MultiChoiceOption splitCriterionOption
```
    - splitConfidenceOption
```
FloatOption splitConfidenceOption
```
    - splitTestsOption
```
MultiChoiceOption splitTestsOption
```
    - leafPredictionOption
```
MultiChoiceOption leafPredictionOption
```
    - driftDetectionMethodOption
```
ClassOption driftDetectionMethodOption
```
    - attributeDiferentiation
```
FloatOption attributeDiferentiation
```
    - naiveBayesLimit
```
int naiveBayesLimit
```
    - percentInCommon
```
double percentInCommon
```
    - numberOfInstancesProcessed
```
int numberOfInstancesProcessed
```
    - treeRoot
```
Iadem2.Node treeRoot
```
    - estimator
```
AbstractChangeDetector estimator
```
    - numberOfNodes
```
int numberOfNodes
```
    - numberOfLeaves
```
int numberOfLeaves
```
- Class moa.classifiers.trees.iadem.Iadem2.LeafNode extends Iadem2.Node implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - instNodeCountSinceVirtual
```
long instNodeCountSinceVirtual
```
    - instTreeCountSinceReal
```
long instTreeCountSinceReal
```
    - instNodeCountSinceReal
```
long instNodeCountSinceReal
```
    - virtualChildren
```
AutoExpandVector<T> virtualChildren
```
    - allAttUsed
```
boolean allAttUsed
```
    - instSeenSinceLastSplitAttempt
```
double instSeenSinceLastSplitAttempt
```
    - split
```
boolean split
```
- 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
    - naiveBayesError
```
int naiveBayesError
```
    - majorityClassError
```
int majorityClassError
```
- Class moa.classifiers.trees.iadem.Iadem2.LeafNodeWeightedVote extends Iadem2.LeafNodeNB implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - naiveBayesError
```
AbstractChangeDetector naiveBayesError
```
    - majorityClassError
```
AbstractChangeDetector majorityClassError
```
- Class moa.classifiers.trees.iadem.Iadem2.Node extends Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - tree
```
Iadem2 tree
```
    - classValueDist
```
DoubleVector classValueDist
```
    - parent
```
Iadem2.Node parent
```
- Class moa.classifiers.trees.iadem.Iadem2.NominalVirtualNode extends Iadem2.VirtualNode implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - nominalAttClassObserver
```
AutoExpandVector<T> nominalAttClassObserver
```
    - attValueDist
```
DoubleVector attValueDist
```
    - onlyMultiwayTest
```
boolean onlyMultiwayTest
```
    - onlyBinaryTest
```
boolean onlyBinaryTest
```
- Class moa.classifiers.trees.iadem.Iadem2.NumericVirtualNode extends Iadem2.VirtualNode implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - numericAttClassObserver
```
IademNumericAttributeObserver numericAttClassObserver
```
    - bestCutPoint
```
double bestCutPoint
```
- Class moa.classifiers.trees.iadem.Iadem2.SplitNode extends Iadem2.Node implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - splitTest
```
InstanceConditionalTest splitTest
```
    - children
```
AutoExpandVector<T> children
```
- Class moa.classifiers.trees.iadem.Iadem2.VirtualNode extends Iadem2.Node implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - attIndex
```
int attIndex
```
    - heuristicMeasureUpdated
```
boolean heuristicMeasureUpdated
```
    - bestSplitSuggestion
```
IademAttributeSplitSuggestion bestSplitSuggestion
```
- Class moa.classifiers.trees.iadem.Iadem3 extends Iadem2 implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - maxNestingLevelOption
```
IntOption maxNestingLevelOption
```
    - maxSubtreesPerNodeOption
```
IntOption maxSubtreesPerNodeOption
```
    - restartAtDrift
```
boolean restartAtDrift
```
    - interchangedTrees
```
int interchangedTrees
```
    - deletedTrees
```
int deletedTrees
```
    - numTrees
```
int numTrees
```
    - lastPrediction
```
int lastPrediction
```
    - lastPredictionInLeaf
```
int lastPredictionInLeaf
```
    - treeLevel
```
int treeLevel
```
    - subtreeList
```
AutoExpandVector<T> subtreeList
```
    - currentSplitState
```
int currentSplitState
```
    - SPLIT_BY_TIE_BREAKING
```
int SPLIT_BY_TIE_BREAKING
```
    - SPLIT_WITH_CONFIDENCE
```
int SPLIT_WITH_CONFIDENCE
```
    - numSplitsByBreakingTies
```
int numSplitsByBreakingTies
```
- 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
    - naiveBayesError
```
AbstractChangeDetector naiveBayesError
```
    - majorityClassError
```
AbstractChangeDetector majorityClassError
```
- Class moa.classifiers.trees.iadem.Iadem3.AdaptiveLeafNodeNBKirkby extends Iadem3.AdaptiveLeafNodeNB implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - naiveBayesError
```
int naiveBayesError
```
    - majorityClassError
```
int majorityClassError
```
- 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
```
    - estimator
```
AbstractChangeDetector estimator
```
    - causeOfSplit
```
int causeOfSplit
```
    - leaf
```
Iadem3.AdaptiveLeafNode leaf
```
- Class moa.classifiers.trees.iadem.Iadem3Subtree extends Iadem3 implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - errorEstimator
```
AbstractChangeDetector errorEstimator
```
    - nodo
```
Iadem2.Node nodo
```
    - mainTree
```
Iadem3 mainTree
```
- Class moa.classifiers.trees.iadem.IademAttributeSplitSuggestion extends AttributeSplitSuggestion implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - meritLowerBound
```
double meritLowerBound
```
- Class moa.classifiers.trees.iadem.IademCommonProcedures extends Object implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.classifiers.trees.iadem.IademException extends Exception implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - myClass
```
String myClass
```
    - myMethod
```
String myMethod
```
    - myExplanation
```
String myExplanation
```
- Class moa.classifiers.trees.iadem.IademGaussianNumericAttributeClassObserver extends GaussianNumericAttributeClassObserver implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - valueCount
```
int valueCount
```
    - classDist
```
DoubleVector classDist
```
- 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 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
```
List<E> binList
```
    - classDist
```
DoubleVector classDist
```
- Class moa.classifiers.trees.iadem.IademVFMLNumericAttributeClassObserver.Bin extends Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - lowerBound
```
double lowerBound
```
    - upperBound
```
double upperBound
```
    - classWeights
```
DoubleVector classWeights
```
    - boundaryClass
```
int boundaryClass
```
    - boundaryWeight
```
double boundaryWeight
```
Package moa.cluster
- Class moa.cluster.CFCluster extends SphereCluster implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - radiusFactor
```
double radiusFactor
```
    - N
```
double N
```
      Number of points in the cluster.
    - LS
```
double[] LS
```
      Linear sum of all the points added to the cluster.
    - 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
    - id
```
double id
```
    - gtLabel
```
double gtLabel
```
    - measure_values
```
HashMap<K,V> 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
    - modelContext
```
InstancesHeader modelContext
```
    - trainingWeightSeenByModel
```
double trainingWeightSeenByModel
```
    - randomSeed
```
int randomSeed
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - evaluateMicroClusteringOption
```
FlagOption evaluateMicroClusteringOption
```
    - clustererRandom
```
Random clustererRandom
```
    - clustering
```
Clustering clustering
```
- Class moa.clusterers.ClusterGenerator extends AbstractClusterer implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - timeWindowOption
```
IntOption timeWindowOption
```
    - radiusDecreaseOption
```
FloatOption radiusDecreaseOption
```
    - radiusIncreaseOption
```
FloatOption radiusIncreaseOption
```
    - positionOffsetOption
```
FloatOption positionOffsetOption
```
    - clusterRemoveOption
```
FloatOption clusterRemoveOption
```
    - joinClustersOption
```
FloatOption joinClustersOption
```
    - clusterAddOption
```
FloatOption clusterAddOption
```
    - points
```
ArrayList<E> points
```
    - instanceCounter
```
int instanceCounter
```
    - windowCounter
```
int windowCounter
```
    - random
```
Random random
```
    - sourceClustering
```
Clustering sourceClustering
```
- Class moa.clusterers.CobWeb extends AbstractClusterer implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - acuityOption
```
FloatOption acuityOption
```
    - cutoffOption
```
FloatOption cutoffOption
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - m_acuity
```
double m_acuity
```
      Acuity (minimum standard deviation).
    - m_cutoff
```
double m_cutoff
```
      Cutoff (minimum category utility).
    - m_cobwebTree
```
moa.clusterers.CobWeb.CNode m_cobwebTree
```
      Holds the root of the Cobweb tree.
    - 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_numberMerges
```
int m_numberMerges
```
      the number of merges 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).
- Class moa.clusterers.WekaClusteringAlgorithm extends AbstractClusterer implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - horizonOption
```
IntOption horizonOption
```
    - wekaAlgorithmOption
```
MultiChoiceOption wekaAlgorithmOption
```
    - parameterOption
```
StringOption parameterOption
```
    - clustererClasses
```
Class<T>[] clustererClasses
```
    - instances
```
Instances instances
```
    - clusterer
```
weka.clusterers.AbstractClusterer clusterer
```
    - instanceConverter
```
SamoaToWekaInstanceConverter instanceConverter
```
Package moa.clusterers.clustream
- Class moa.clusterers.clustream.Clustream extends AbstractClusterer implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - timeWindowOption
```
IntOption timeWindowOption
```
    - maxNumKernelsOption
```
IntOption maxNumKernelsOption
```
    - kernelRadiFactorOption
```
IntOption kernelRadiFactorOption
```
    - timeWindow
```
int timeWindow
```
    - timestamp
```
long timestamp
```
    - kernels
```
ClustreamKernel[] kernels
```
    - initialized
```
boolean initialized
```
    - buffer
```
List<E> buffer
```
    - bufferSize
```
int bufferSize
```
    - t
```
double t
```
    - m
```
int m
```
- Class moa.clusterers.clustream.ClustreamKernel extends CFCluster implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - LST
```
double LST
```
    - SST
```
double SST
```
    - m
```
int m
```
    - t
```
double t
```
- Class moa.clusterers.clustream.WithKmeans extends AbstractClusterer implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - timeWindowOption
```
IntOption timeWindowOption
```
    - maxNumKernelsOption
```
IntOption maxNumKernelsOption
```
    - kernelRadiFactorOption
```
IntOption kernelRadiFactorOption
```
    - kOption
```
IntOption kOption
```
    - timeWindow
```
int timeWindow
```
    - timestamp
```
long timestamp
```
    - kernels
```
ClustreamKernel[] kernels
```
    - initialized
```
boolean initialized
```
    - buffer
```
List<E> buffer
```
    - bufferSize
```
int bufferSize
```
    - t
```
double t
```
    - m
```
int m
```
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
    - horizonOption
```
IntOption horizonOption
```
    - maxHeightOption
```
IntOption maxHeightOption
```
    - breadthFirstStrategyOption
```
FlagOption breadthFirstStrategyOption
```
    - root
```
Node root
```
      The root node of the tree.
    - numberDimensions
```
int numberDimensions
```
      Dimensionality of the data points managed by this tree.
    - negLambda
```
double negLambda
```
      Parameter for the weighting function use to weight the entries.
    - height
```
int height
```
      The current height of the tree. Should always be smaller than maxHeight.
    - maxHeight
```
int maxHeight
```
      The maximal height of the tree.
    - numRootSplits
```
int numRootSplits
```
      This variable is used to keep the inverse height that is stored in every node correct.
    - 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
    - numberInsertions
```
int numberInsertions
```
      Number of points inserted into the tree.
    - timestamp
```
long timestamp
```
    - breadthFirstStrat
```
boolean breadthFirstStrat
```
      Parameter to determine wich strategy to use
    - alsoUpdate
```
Entry alsoUpdate
```
- Class moa.clusterers.clustree.Entry extends Object implements Serializable
  - Serialized Fields
    - data
```
ClusKernel data
```
      The actual entry data.
    - 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.
    - parentEntry
```
Entry parentEntry
```
      A reference to the Entry's parent Entry
    - node
```
Node node
```
      A reference to the Node, that contains this Entry
    - timestamp
```
long timestamp
```
      Last time this entry was changed.
- Class moa.clusterers.clustree.Node extends Object implements Serializable
  - Serialized Fields
    - NUMBER_ENTRIES
```
int NUMBER_ENTRIES
```
    - entries
```
Entry[] entries
```
      The children of this node.
    - level
```
int level
```
      The depth at which this Node is in the tree.
Package moa.clusterers.denstream
- Class moa.clusterers.denstream.MicroCluster extends CFCluster implements Serializable
  - Serialized Fields
    - lastEditT
```
long lastEditT
```
    - creationTimestamp
```
long creationTimestamp
```
    - lambda
```
double lambda
```
    - currentTimestamp
```
Timestamp currentTimestamp
```
- 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
    - horizonOption
```
IntOption horizonOption
```
    - epsilonOption
```
FloatOption epsilonOption
```
    - betaOption
```
FloatOption betaOption
```
    - muOption
```
FloatOption muOption
```
    - initPointsOption
```
IntOption initPointsOption
```
    - offlineOption
```
FloatOption offlineOption
```
    - lambdaOption
```
FloatOption lambdaOption
```
    - speedOption
```
IntOption speedOption
```
    - weightThreshold
```
double weightThreshold
```
    - lambda
```
double lambda
```
    - epsilon
```
double epsilon
```
    - minPoints
```
int minPoints
```
    - mu
```
double mu
```
    - beta
```
double beta
```
    - p_micro_cluster
```
Clustering p_micro_cluster
```
    - o_micro_cluster
```
Clustering o_micro_cluster
```
    - initBuffer
```
ArrayList<E> initBuffer
```
    - initialized
```
boolean initialized
```
    - timestamp
```
long timestamp
```
    - currentTimestamp
```
Timestamp currentTimestamp
```
    - tp
```
long tp
```
    - numInitPoints
```
int numInitPoints
```
    - numProcessedPerUnit
```
int numProcessedPerUnit
```
    - processingSpeed
```
int processingSpeed
```
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
    - decayFactorOption
```
FloatOption decayFactorOption
```
    - cmOption
```
FloatOption cmOption
```
    - clOption
```
FloatOption clOption
```
    - betaOption
```
FloatOption betaOption
```
    - currTime
```
int currTime
```
      The data stream's current internal time. Starts at 0.
    - gap
```
int gap
```
      User defined parameter: Time gap between calls to the offline component
    - decayFactor
```
double decayFactor
```
      User defined parameter, represented as lambda in Chen and Tu 2007
    - cm
```
double cm
```
      User defined parameter: Controls the threshold for dense grids
    - cl
```
double cl
```
      User defined parameter: Controls the threshold for sparse grids
    - beta
```
double beta
```
      User defined parameter: Adjusts the window of protection for renaming previously deleted grids as being sporadic
    - dm
```
double dm
```
      Density threshold for dense grids; controlled by cm; given in eq 8 of Chen and Tu 2007
      
      See Also:
      
      cm
    - dl
```
double dl
```
      Density threshold for sparse grids; controlled by cl; given in eq 9 of Chen and Tu 2007
      
      See Also:
      
      cl
    - d
```
int d
```
      The number of dimensions in the data stream; defined in section 3.1 of Chen and Tu 2007
    - N
```
int N
```
      The number of density grids; defined after eq 2 in Chen and Tu 2007
    - initialized
```
boolean initialized
```
      True if initialization of D-Stream is complete, false otherwise
    - grid_list
```
HashMap<K,V> grid_list
```
      A list of all density grids which are being monitored; given in figure 1 of Chen and Tu 2007
    - deleted_grids
```
HashMap<K,V> 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).
    - cluster_list
```
ArrayList<E> cluster_list
```
      A list of all Grid Clusters, which are defined in Definition 3.6 of Chen and Tu 2007
    - newClusterList
```
ArrayList<E> newClusterList
```
      A list of grid clusters used when reclustering an existing cluster.
    - minVals
```
int[] minVals
```
      The minimum value seen for a numerical dimension; used to calculate N
      
      See Also:
      
      N
    - maxVals
```
int[] maxVals
```
      The maximum value seen for a numerical dimension; used to calculate N
      
      See Also:
      
      N
- Class moa.clusterers.dstream.GridCluster extends NonConvexCluster implements Serializable
  
  serialVersionUID:
  
  -6498733665209706370L
  - Serialized Fields
    - grids
```
HashMap<K,V> grids
```
    - visited
```
HashMap<K,V> visited
```
    - clusterLabel
```
int clusterLabel
```
Package moa.clusterers.kmeanspm
- Class moa.clusterers.kmeanspm.BICO extends AbstractClusterer implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - numClustersOption
```
IntOption numClustersOption
```
    - numDimensionsOption
```
IntOption numDimensionsOption
```
    - maxNumClusterFeaturesOption
```
IntOption maxNumClusterFeaturesOption
```
    - numProjectionsOption
```
IntOption numProjectionsOption
```
    - numClusters
```
int numClusters
```
    - numDimensions
```
int numDimensions
```
    - maxNumClusterFeatures
```
int maxNumClusterFeatures
```
    - numProjections
```
int numProjections
```
    - bufferPhase
```
boolean bufferPhase
```
    - buffer
```
List<E> buffer
```
    - minDistance
```
double minDistance
```
    - 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
    - numProjections
```
int numProjections
```
    - projections
```
List<E> projections
```
    - buckets
```
List<E> buckets
```
- Class moa.clusterers.kmeanspm.ClusteringTreeNode extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - center
```
double[] center
```
    - clusteringFeature
```
ClusteringFeature clusteringFeature
```
    - children
```
List<E> children
```
Package moa.clusterers.macro
- Class moa.clusterers.macro.NonConvexCluster extends CFCluster implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - mMicroClusters
```
List<E> mMicroClusters
```

Package moa.clusterers.outliers

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

Serialized Fields

windowSizeOption
```
IntOption windowSizeOption
```

outlierNotifier

MyBaseOutlierDetector.OutlierNotifier outlierNotifier

random
```
Random random
```
iMaxMemUsage
```
int iMaxMemUsage
```
nRangeQueriesExecuted
```
int nRangeQueriesExecuted
```
nTotalRunTime
```
Long nTotalRunTime
```
nTimePerObj
```
double nTimePerObj
```
myClusters
```
Clustering myClusters
```
outliersFound
```
TreeSet<E> outliersFound
```
m_timePreObjSum
```
Long m_timePreObjSum
```
nProcessed
```
int nProcessed
```

myProgressInfo

MyBaseOutlierDetector.ProgressInfo myProgressInfo

myOut
```
MyBaseOutlierDetector.PrintMsg myOut
```
bTrace
```
boolean bTrace
```
bShowProgress
```
boolean bShowProgress
```
bStopAlgorithm
```
boolean bStopAlgorithm
```
_msPrev
```
Long _msPrev
```
_msNow
```
Long _msNow
```

Package moa.clusterers.outliers.AbstractC
- Class moa.clusterers.outliers.AbstractC.AbstractC extends AbstractCBase implements Serializable
  - Serialized Fields
    - radiusOption
```
FloatOption radiusOption
```
    - kOption
```
IntOption kOption
```
    - waitWinFullOption
```
FlagOption waitWinFullOption
```
- Class moa.clusterers.outliers.AbstractC.AbstractCBase extends MyBaseOutlierDetector implements Serializable
  - Serialized Fields
    - objId
```
Long objId
```
    - windowNodes
```
Vector<E> windowNodes
```
    - ISB
```
ISBIndex ISB
```
    - m_WindowSize
```
int m_WindowSize
```
    - m_radius
```
double m_radius
```
    - m_Fraction
```
double m_Fraction
```
    - bWarning
```
boolean bWarning
```
    - m_nBothInlierOutlier
```
int m_nBothInlierOutlier
```
    - m_nOnlyInlier
```
int m_nOnlyInlier
```
    - m_nOnlyOutlier
```
int m_nOnlyOutlier
```
Package moa.clusterers.outliers.Angiulli
- Class moa.clusterers.outliers.Angiulli.ApproxSTORM extends STORMBase implements Serializable
  - Serialized Fields
    - radiusOption
```
FloatOption radiusOption
```
    - kOption
```
IntOption kOption
```
    - queryFreqOption
```
IntOption queryFreqOption
```
    - pOption
```
FloatOption pOption
```
    - safe_inliers
```
Set<E> safe_inliers
```
    - m_FractWindowSize
```
int m_FractWindowSize
```
    - m_Random
```
Random m_Random
```
- Class moa.clusterers.outliers.Angiulli.ExactSTORM extends STORMBase implements Serializable
  - Serialized Fields
    - radiusOption
```
FloatOption radiusOption
```
    - kOption
```
IntOption kOption
```
    - queryFreqOption
```
IntOption queryFreqOption
```
- Class moa.clusterers.outliers.Angiulli.STORMBase extends MyBaseOutlierDetector implements Serializable
  - Serialized Fields
    - waitWinFullOption
```
FlagOption waitWinFullOption
```
    - objId
```
Long objId
```
    - windowNodes
```
Vector<E> windowNodes
```
    - ISB
```
ISBIndex ISB
```
    - m_WindowSize
```
int m_WindowSize
```
    - m_radius
```
double m_radius
```
    - m_k
```
int m_k
```
    - m_QueryFreq
```
int m_QueryFreq
```
    - m_nBothInlierOutlier
```
int m_nBothInlierOutlier
```
    - m_nOnlyInlier
```
int m_nOnlyInlier
```
    - m_nOnlyOutlier
```
int m_nOnlyOutlier
```
Package moa.clusterers.outliers.AnyOut
- Class moa.clusterers.outliers.AnyOut.AnyOut extends MyBaseOutlierDetector implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - FIRST_OBJ_ID
```
int FIRST_OBJ_ID
```
    - minDepth
```
double minDepth
```
    - maxDepth
```
double maxDepth
```
    - anyout
```
AnyOutCore anyout
```
    - idCounter
```
int idCounter
```
    - windowSize
```
int windowSize
```
    - objects
```
ArrayList<E> objects
```
    - trainingSet
```
DataSet trainingSet
```
    - trainingCount
```
int trainingCount
```
    - trainingSetSize
```
int trainingSetSize
```
    - truePositive
```
int truePositive
```
    - falsePositive
```
int falsePositive
```
    - totalOutliers
```
int totalOutliers
```
    - outlierClass
```
int outlierClass
```
- Class moa.clusterers.outliers.AnyOut.AnyOutCore extends ClusTree implements Serializable
  - Serialized Fields
    - aggregatedOScoreResult
```
HashMap<K,V> aggregatedOScoreResult
```
    - lastOScoreResult
```
HashMap<K,V> lastOScoreResult
```
    - lastConfidenceResult
```
HashMap<K,V> lastConfidenceResult
```
    - objectAsKernel
```
HashMap<K,V> objectAsKernel
```
    - previousOScoreResultList
```
HashMap<K,V> previousOScoreResultList
```
    - descendToNode
```
HashMap<K,V> descendToNode
```
    - currentLevel
```
HashMap<K,V> currentLevel
```
    - threshold
```
double threshold
```
    - weightThreshold
```
double weightThreshold
```
    - oScoreK
```
int oScoreK
```
    - confK
```
int confK
```
    - trainingSetSizeOption
```
IntOption trainingSetSizeOption
```
    - oScoreKOption
```
IntOption oScoreKOption
```
    - confKOption
```
IntOption confKOption
```
    - confidenceChoiceOption
```
IntOption confidenceChoiceOption
```
    - UseMeanScoreOption
```
FlagOption UseMeanScoreOption
```
    - threshholdOption
```
FloatOption threshholdOption
```
Package moa.clusterers.outliers.MCOD
- Class moa.clusterers.outliers.MCOD.MCOD extends MCODBase implements Serializable
  - Serialized Fields
    - radiusOption
```
FloatOption radiusOption
```
    - kOption
```
IntOption kOption
```
- Class moa.clusterers.outliers.MCOD.MCODBase extends MyBaseOutlierDetector implements Serializable
  - Serialized Fields
    - objId
```
Long objId
```
    - windowNodes
```
Vector<E> windowNodes
```
    - eventQueue
```
MCODBase.EventQueue eventQueue
```
    - mtreeMC
```
moa.clusterers.outliers.MCOD.MTreeMicroClusters mtreeMC
```
    - setMC
```
TreeSet<E> setMC
```
    - nodesReinsert
```
TreeSet<E> nodesReinsert
```
    - ISB_PD
```
ISBIndex ISB_PD
```
    - m_WindowSize
```
int m_WindowSize
```
    - m_radius
```
double m_radius
```
    - m_k
```
int m_k
```
    - m_theta
```
double m_theta
```
    - bWarning
```
boolean bWarning
```
    - m_nBothInlierOutlier
```
int m_nBothInlierOutlier
```
    - m_nOnlyInlier
```
int m_nOnlyInlier
```
    - m_nOnlyOutlier
```
int m_nOnlyOutlier
```
Package moa.clusterers.outliers.SimpleCOD
- Class moa.clusterers.outliers.SimpleCOD.SimpleCOD extends SimpleCODBase implements Serializable
  - Serialized Fields
    - radiusOption
```
FloatOption radiusOption
```
    - kOption
```
IntOption kOption
```
- Class moa.clusterers.outliers.SimpleCOD.SimpleCODBase extends MyBaseOutlierDetector implements Serializable
  - Serialized Fields
    - objId
```
Long objId
```
    - windowNodes
```
Vector<E> windowNodes
```
    - eventQueue
```
SimpleCODBase.EventQueue eventQueue
```
    - ISB
```
ISBIndex ISB
```
    - m_WindowSize
```
int m_WindowSize
```
    - m_radius
```
double m_radius
```
    - m_k
```
int m_k
```
    - bWarning
```
boolean bWarning
```
    - m_nBothInlierOutlier
```
int m_nBothInlierOutlier
```
    - m_nOnlyInlier
```
int m_nOnlyInlier
```
    - m_nOnlyOutlier
```
int m_nOnlyOutlier
```
Package moa.clusterers.streamkm
- Class moa.clusterers.streamkm.MTRandom extends Random implements Serializable
  
  serialVersionUID:
  
  -515082678588212038L
- Class moa.clusterers.streamkm.StreamKM extends AbstractClusterer implements Serializable
  - Serialized Fields
    - sizeCoresetOption
```
IntOption sizeCoresetOption
```
    - numClustersOption
```
IntOption numClustersOption
```
    - lengthOption
```
IntOption lengthOption
```
    - evaluateOption
```
FlagOption evaluateOption
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - clustererRandom
```
MTRandom clustererRandom
```
    - centresStreamingCoreset
```
Point[] centresStreamingCoreset
```
    - numberInstances
```
int numberInstances
```
    - dimension
```
int dimension
```
    - length
```
int length
```
    - numberOfCentres
```
int numberOfCentres
```
    - coresetsize
```
int coresetsize
```
    - manager
```
BucketManager manager
```
    - initialized
```
boolean initialized
```
Package moa.core
- Class moa.core.AutoExpandVector extends 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 ArrayList<E> implements Serializable
- Class moa.core.GaussianEstimator extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - weightSum
```
double weightSum
```
    - mean
```
double mean
```
    - varianceSum
```
double varianceSum
```
- Class moa.core.GreenwaldKhannaQuantileSummary extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - summary
```
GreenwaldKhannaQuantileSummary.Tuple[] summary
```
    - numTuples
```
int numTuples
```
    - numObservations
```
long numObservations
```
- Class moa.core.GreenwaldKhannaQuantileSummary.Tuple extends Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - v
```
double v
```
    - g
```
long g
```
    - delta
```
long delta
```
- Class moa.core.Measurement extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - name
```
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 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
    - acquisitionRateEstimator
```
BasicClassificationPerformanceEvaluator.Estimator acquisitionRateEstimator
```
    - acquiredInstances
```
int acquiredInstances
```
- Class moa.evaluation.BasicAUCImbalancedPerformanceEvaluator extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - calculateAUC
```
FlagOption calculateAUC
```
    - totalObservedInstances
```
double totalObservedInstances
```
    - aucEstimator
```
BasicAUCImbalancedPerformanceEvaluator.Estimator aucEstimator
```
    - weightMajorityClassifier
```
BasicAUCImbalancedPerformanceEvaluator.SimpleEstimator weightMajorityClassifier
```
    - numClasses
```
int numClasses
```
- Class moa.evaluation.BasicClassificationPerformanceEvaluator extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - weightCorrect
```
BasicClassificationPerformanceEvaluator.Estimator weightCorrect
```
    - columnKappa
```
BasicClassificationPerformanceEvaluator.Estimator[] columnKappa
```
    - rowKappa
```
BasicClassificationPerformanceEvaluator.Estimator[] rowKappa
```
    - precision
```
BasicClassificationPerformanceEvaluator.Estimator[] precision
```
    - recall
```
BasicClassificationPerformanceEvaluator.Estimator[] recall
```
    - numClasses
```
int numClasses
```
    - weightCorrectNoChangeClassifier
```
BasicClassificationPerformanceEvaluator.Estimator weightCorrectNoChangeClassifier
```
    - weightMajorityClassifier
```
BasicClassificationPerformanceEvaluator.Estimator weightMajorityClassifier
```
    - lastSeenClass
```
int lastSeenClass
```
    - totalWeightObserved
```
double totalWeightObserved
```
    - precisionRecallOutputOption
```
FlagOption precisionRecallOutputOption
```
    - precisionPerClassOption
```
FlagOption precisionPerClassOption
```
    - recallPerClassOption
```
FlagOption recallPerClassOption
```
    - f1PerClassOption
```
FlagOption f1PerClassOption
```
- Class moa.evaluation.BasicClassificationPerformanceEvaluator.BasicEstimator extends Object implements Serializable
  - Serialized Fields
    - len
```
double len
```
    - sum
```
double sum
```
- Class moa.evaluation.BasicConceptDriftPerformanceEvaluator extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - weightObserved
```
double weightObserved
```
    - numberDetections
```
double numberDetections
```
    - numberDetectionsOccurred
```
double numberDetectionsOccurred
```
    - numberChanges
```
double numberChanges
```
    - numberWarnings
```
double numberWarnings
```
    - delay
```
double delay
```
    - errorPrediction
```
double errorPrediction
```
    - totalDelay
```
double totalDelay
```
    - isWarningZone
```
boolean isWarningZone
```
    - inputValues
```
double inputValues
```
    - hasChangeOccurred
```
boolean hasChangeOccurred
```
- Class moa.evaluation.BasicMultiLabelPerformanceEvaluator extends AbstractMOAObject implements Serializable
  - Serialized Fields
    - L
```
int L
```
    - sumAccuracy
```
double sumAccuracy
```
      running sum of accuracy
    - sumHamming
```
double sumHamming
```
    - sumAccuracy2
```
double sumAccuracy2
```
    - sumPrecision
```
double sumPrecision
```
    - sumRecall
```
double sumRecall
```
    - sumFmeasure
```
double sumFmeasure
```
    - sumExamples
```
int sumExamples
```
      running number of examples
- Class moa.evaluation.BasicMultiTargetPerformanceEvaluator extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - weightObserved
```
double weightObserved
```
    - squareError
```
double squareError
```
    - averageError
```
double averageError
```
    - numberOutputs
```
int numberOutputs
```
- Class moa.evaluation.BasicMultiTargetPerformanceRelativeMeasuresEvaluator extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - weightObserved
```
double weightObserved
```
    - squareError
```
double[] squareError
```
    - averageError
```
double[] averageError
```
    - averageErrorToTargetMean
```
double[] averageErrorToTargetMean
```
    - squareErrorToTargetMean
```
double[] squareErrorToTargetMean
```
    - sumY
```
double[] sumY
```
    - numberOutputs
```
int numberOutputs
```
- Class moa.evaluation.BasicRegressionPerformanceEvaluator extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - weightObserved
```
double weightObserved
```
    - squareError
```
double squareError
```
    - averageError
```
double averageError
```
    - sumTarget
```
double sumTarget
```
    - squareTargetError
```
double squareTargetError
```
    - averageTargetError
```
double averageTargetError
```
- 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
    - gtAnalysis
```
CMM_GTAnalysis gtAnalysis
```
      the ground truth analysis
    - numPoints
```
int numPoints
```
      number of points within the horizon
    - 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
    - matchMap
```
int[] matchMap
```
      match found clusters to GT clusters
    - 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
    - lamdaMissed
```
double lamdaMissed
```
      parameterize the error weight of missed points (default 1)
    - 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
- Class moa.evaluation.CMM_GTAnalysis.CMMPoint extends DataPoint implements Serializable
  - Serialized Fields
    - p
```
DataPoint p
```
      Reference to original point
    - pID
```
int pID
```
      point ID
    - trueClass
```
int trueClass
```
      true class label
    - connectivity
```
double connectivity
```
      the connectivity of the point to its cluster
    - knnInCluster
```
double knnInCluster
```
      knn distnace within own cluster
    - knnIndices
```
ArrayList<E> knnIndices
```
      knn indices (for debugging only)
- Class moa.evaluation.EntropyCollection extends MeasureCollection implements Serializable
  - Serialized Fields
    - debug
```
boolean debug
```
    - beta
```
double beta
```
- 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 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 Object implements Serializable
  - Serialized Fields
    - alpha
```
double alpha
```
    - estimation
```
double estimation
```
    - b
```
double b
```
- Class moa.evaluation.General extends MeasureCollection implements Serializable
  - Serialized Fields
    - numPoints
```
int numPoints
```
    - numFClusters
```
int numFClusters
```
    - numDims
```
int numDims
```
    - pointInclusionProbThreshold
```
double pointInclusionProbThreshold
```
    - clustering
```
Clustering clustering
```
    - points
```
ArrayList<E> 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
    - names
```
String[] names
```
    - values
```
ArrayList<E>[] values
```
    - sortedValues
```
ArrayList<E>[] sortedValues
```
    - events
```
ArrayList<E> events
```
    - minValue
```
double[] minValue
```
    - maxValue
```
double[] maxValue
```
    - sumValues
```
double[] sumValues
```
    - enabled
```
boolean[] enabled
```
    - corrupted
```
boolean[] corrupted
```
    - time
```
double time
```
    - debug
```
boolean debug
```
    - mm
```
MembershipMatrix mm
```
    - map
```
HashMap<K,V> map
```
    - numMeasures
```
int numMeasures
```
- Class moa.evaluation.MultiTargetWindowRegressionPerformanceEvaluator extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - widthOption
```
IntOption widthOption
```
    - TotalweightObserved
```
double TotalweightObserved
```
    - weightObserved
```
MultiTargetWindowRegressionPerformanceEvaluator.Estimator weightObserved
```
    - squareError
```
MultiTargetWindowRegressionPerformanceEvaluator.Estimator squareError
```
    - averageError
```
MultiTargetWindowRegressionPerformanceEvaluator.Estimator averageError
```
    - numClasses
```
int numClasses
```
    - numberOutputs
```
int numberOutputs
```
- Class moa.evaluation.MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - widthOption
```
IntOption widthOption
```
    - TotalweightObserved
```
double TotalweightObserved
```
    - weightObserved
```
MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator.Estimator weightObserved
```
    - squareError
```
MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator.Estimator[] squareError
```
    - averageError
```
MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator.Estimator[] averageError
```
    - averageErrorToTargetMean
```
MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator.Estimator[] averageErrorToTargetMean
```
    - squareErrorToTargetMean
```
MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator.Estimator[] squareErrorToTargetMean
```
    - sumY
```
MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator.Estimator[] sumY
```
    - numClasses
```
int numClasses
```
    - numberOutputs
```
int numberOutputs
```
- 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
    - widthOption
```
IntOption widthOption
```
    - totalObservedInstances
```
double totalObservedInstances
```
    - aucEstimator
```
WindowAUCImbalancedPerformanceEvaluator.Estimator aucEstimator
```
    - weightMajorityClassifier
```
WindowAUCImbalancedPerformanceEvaluator.SimpleEstimator weightMajorityClassifier
```
    - numClasses
```
int numClasses
```
- Class moa.evaluation.WindowClassificationPerformanceEvaluator extends BasicClassificationPerformanceEvaluator implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - widthOption
```
IntOption widthOption
```
- Class moa.evaluation.WindowClassificationPerformanceEvaluator.WindowEstimator extends Object implements Serializable
  - Serialized Fields
    - window
```
double[] window
```
    - posWindow
```
int posWindow
```
    - lenWindow
```
int lenWindow
```
    - SizeWindow
```
int SizeWindow
```
    - sum
```
double sum
```
    - qtyNaNs
```
double qtyNaNs
```
- Class moa.evaluation.WindowRegressionPerformanceEvaluator extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - widthOption
```
IntOption widthOption
```
    - TotalweightObserved
```
double TotalweightObserved
```
    - weightObserved
```
WindowRegressionPerformanceEvaluator.Estimator weightObserved
```
    - squareError
```
WindowRegressionPerformanceEvaluator.Estimator squareError
```
    - averageError
```
WindowRegressionPerformanceEvaluator.Estimator averageError
```
    - numClasses
```
int numClasses
```
Package moa.evaluation.preview
- Class moa.evaluation.preview.LearningCurve extends Preview implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - measurementNames
```
List<E> measurementNames
```
    - measurementValues
```
List<E> measurementValues
```
    - taskClass
```
Class<T> 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
    - orderingName
```
String orderingName
```
    - indexName
```
String indexName
```
    - subPreviews
```
List<E> subPreviews
```
    - requiredMeasurementNames
```
List<E> requiredMeasurementNames
```
    - measurementNames
```
List<E> measurementNames
```
    - minEntryNum
```
int minEntryNum
```
    - taskClass
```
Class<T> taskClass
```
    - variedParamName
```
String variedParamName
```
    - variedParamValues
```
double[] variedParamValues
```
- Class moa.evaluation.preview.PreviewCollectionLearningCurveWrapper extends Preview implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learningCurveToBeWrapped
```
LearningCurve learningCurveToBeWrapped
```
    - taskClass
```
Class<T> taskClass
```
Package moa.gui
- Class moa.gui.AbstractTabPanel extends JPanel implements Serializable
- Class moa.gui.ALTabPanel extends AbstractTabPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - taskManagerPanel
```
ALTaskManagerPanel taskManagerPanel
```
    - previewPanel
```
ALPreviewPanel previewPanel
```
- Class moa.gui.AuxiliarTabPanel extends AbstractTabPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - taskManagerPanel
```
AuxiliarTaskManagerPanel taskManagerPanel
```
    - previewPanel
```
PreviewPanel previewPanel
```
- Class moa.gui.AuxiliarTaskManagerPanel extends JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - currentTask
```
MainTask currentTask
```
    - taskList
```
List<E> taskList
```
    - configureTaskButton
```
JButton configureTaskButton
```
    - taskDescField
```
JTextField taskDescField
```
    - runTaskButton
```
JButton runTaskButton
```
    - taskTableModel
```
AuxiliarTaskManagerPanel.TaskTableModel taskTableModel
```
    - taskTable
```
JTable taskTable
```
    - pauseTaskButton
```
JButton pauseTaskButton
```
    - resumeTaskButton
```
JButton resumeTaskButton
```
    - cancelTaskButton
```
JButton cancelTaskButton
```
    - deleteTaskButton
```
JButton deleteTaskButton
```
    - previewPanel
```
PreviewPanel previewPanel
```
    - prefs
```
Preferences prefs
```
    - PREF_NAME
```
String PREF_NAME
```
- Class moa.gui.AuxiliarTaskManagerPanel.ProgressCellRenderer extends JProgressBar implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.AuxiliarTaskManagerPanel.TaskTableModel extends AbstractTableModel implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.ClassificationTabPanel extends AbstractTabPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - taskManagerPanel
```
TaskManagerPanel taskManagerPanel
```
    - previewPanel
```
PreviewPanel previewPanel
```
- Class moa.gui.ClassOptionSelectionPanel extends JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - classChoiceBox
```
JComboBox<E> classChoiceBox
```
    - chosenObjectEditor
```
JComponent chosenObjectEditor
```
    - chosenObject
```
Object chosenObject
```
- Class moa.gui.ClassOptionWithListenerOptionEditComponent extends ClassOptionEditComponent implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.ClassOptionWithNamesSelectionPanel extends JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - debug
```
boolean debug
```
    - classChoiceBox
```
JComboBox<E> classChoiceBox
```
    - chosenObjectEditor
```
JComponent chosenObjectEditor
```
    - chosenObject
```
Object chosenObject
```
- Class moa.gui.ConceptDriftTabPanel extends AbstractTabPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - taskManagerPanel
```
CDTaskManagerPanel taskManagerPanel
```
    - previewPanel
```
PreviewPanel previewPanel
```
- Class moa.gui.EditableMultiChoiceOptionEditComponent extends MultiChoiceOptionEditComponent implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.GUI extends JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - panel
```
JTabbedPane panel
```
- Class moa.gui.GUIDefaults extends Object implements Serializable
  
  serialVersionUID:
  
  4954795757927524225L
- Class moa.gui.LineGraphViewPanel extends JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - plotLines
```
List<E> plotLines
```
- Class moa.gui.LineGraphViewPanel.PlotPanel extends JPanel implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.LineGraphViewPanel.PlotTableModel extends AbstractTableModel implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.MultiLabelTabPanel extends AbstractTabPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - taskManagerPanel
```
MultiLabelTaskManagerPanel taskManagerPanel
```
    - previewPanel
```
PreviewPanel previewPanel
```
- Class moa.gui.MultiLabelTaskManagerPanel extends JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - currentTask
```
MultiLabelMainTask currentTask
```
    - taskList
```
List<E> taskList
```
    - configureTaskButton
```
JButton configureTaskButton
```
    - taskDescField
```
JTextField taskDescField
```
    - runTaskButton
```
JButton runTaskButton
```
    - taskTableModel
```
MultiLabelTaskManagerPanel.TaskTableModel taskTableModel
```
    - taskTable
```
JTable taskTable
```
    - pauseTaskButton
```
JButton pauseTaskButton
```
    - resumeTaskButton
```
JButton resumeTaskButton
```
    - cancelTaskButton
```
JButton cancelTaskButton
```
    - deleteTaskButton
```
JButton deleteTaskButton
```
    - previewPanel
```
PreviewPanel previewPanel
```
    - prefs
```
Preferences prefs
```
    - PREF_NAME
```
String PREF_NAME
```
- Class moa.gui.MultiLabelTaskManagerPanel.ProgressCellRenderer extends JProgressBar implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.MultiLabelTaskManagerPanel.TaskTableModel extends AbstractTableModel implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.MultiTargetTabPanel extends AbstractTabPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - taskManagerPanel
```
MultiTargetTaskManagerPanel taskManagerPanel
```
    - previewPanel
```
PreviewPanel previewPanel
```
- Class moa.gui.MultiTargetTaskManagerPanel extends JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - currentTask
```
MultiTargetMainTask currentTask
```
    - taskList
```
List<E> taskList
```
    - configureTaskButton
```
JButton configureTaskButton
```
    - taskDescField
```
JTextField taskDescField
```
    - runTaskButton
```
JButton runTaskButton
```
    - taskTableModel
```
MultiTargetTaskManagerPanel.TaskTableModel taskTableModel
```
    - taskTable
```
JTable taskTable
```
    - pauseTaskButton
```
JButton pauseTaskButton
```
    - resumeTaskButton
```
JButton resumeTaskButton
```
    - cancelTaskButton
```
JButton cancelTaskButton
```
    - deleteTaskButton
```
JButton deleteTaskButton
```
    - previewPanel
```
PreviewPanel previewPanel
```
    - prefs
```
Preferences prefs
```
    - PREF_NAME
```
String PREF_NAME
```
- Class moa.gui.MultiTargetTaskManagerPanel.ProgressCellRenderer extends JProgressBar implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.MultiTargetTaskManagerPanel.TaskTableModel extends AbstractTableModel implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.PreviewPanel extends JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - previewedThread
```
TaskThread previewedThread
```
    - previewLabel
```
JLabel previewLabel
```
    - refreshButton
```
JButton refreshButton
```
    - autoRefreshLabel
```
JLabel autoRefreshLabel
```
    - autoRefreshComboBox
```
JComboBox<E> autoRefreshComboBox
```
    - textViewerPanel
```
TaskTextViewerPanel textViewerPanel
```
    - autoRefreshTimer
```
Timer autoRefreshTimer
```
- Class moa.gui.PreviewTableModel extends AbstractTableModel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - names
```
List<E> names
```
    - data
```
List<E> data
```
    - latestPreview
```
Preview latestPreview
```
    - structureChangeFlag
```
boolean structureChangeFlag
```
- Class moa.gui.RegressionTabPanel extends AbstractTabPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - taskManagerPanel
```
RegressionTaskManagerPanel taskManagerPanel
```
    - previewPanel
```
PreviewPanel previewPanel
```
- Class moa.gui.RegressionTaskManagerPanel extends JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - currentTask
```
RegressionMainTask currentTask
```
    - taskList
```
List<E> taskList
```
    - configureTaskButton
```
JButton configureTaskButton
```
    - taskDescField
```
JTextField taskDescField
```
    - runTaskButton
```
JButton runTaskButton
```
    - taskTableModel
```
RegressionTaskManagerPanel.TaskTableModel taskTableModel
```
    - taskTable
```
JTable taskTable
```
    - pauseTaskButton
```
JButton pauseTaskButton
```
    - resumeTaskButton
```
JButton resumeTaskButton
```
    - cancelTaskButton
```
JButton cancelTaskButton
```
    - deleteTaskButton
```
JButton deleteTaskButton
```
    - previewPanel
```
PreviewPanel previewPanel
```
    - prefs
```
Preferences prefs
```
    - PREF_NAME
```
String PREF_NAME
```
- Class moa.gui.RegressionTaskManagerPanel.ProgressCellRenderer extends JProgressBar implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.RegressionTaskManagerPanel.TaskTableModel extends 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 JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - taskManagerPanel
```
TaskManagerPanel taskManagerPanel
```
    - previewPanel
```
PreviewPanel previewPanel
```
- Class moa.gui.TaskManagerPanel extends JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - currentTask
```
MainTask currentTask
```
    - taskList
```
List<E> taskList
```
    - configureTaskButton
```
JButton configureTaskButton
```
    - taskDescField
```
JTextField taskDescField
```
    - runTaskButton
```
JButton runTaskButton
```
    - taskTableModel
```
TaskManagerPanel.TaskTableModel taskTableModel
```
    - taskTable
```
JTable taskTable
```
    - pauseTaskButton
```
JButton pauseTaskButton
```
    - resumeTaskButton
```
JButton resumeTaskButton
```
    - cancelTaskButton
```
JButton cancelTaskButton
```
    - deleteTaskButton
```
JButton deleteTaskButton
```
    - previewPanel
```
PreviewPanel previewPanel
```
    - prefs
```
Preferences prefs
```
    - PREF_NAME
```
String PREF_NAME
```
- Class moa.gui.TaskManagerPanel.ProgressCellRenderer extends JProgressBar implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.TaskManagerPanel.TaskTableModel extends AbstractTableModel implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.TaskTextViewerPanel extends JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - previewTableModel
```
PreviewTableModel previewTableModel
```
    - previewTable
```
JTable previewTable
```
    - errorTextField
```
JTextArea errorTextField
```
    - scrollPaneTable
```
JScrollPane scrollPaneTable
```
    - scrollPaneText
```
JScrollPane scrollPaneText
```
    - exportButton
```
JButton exportButton
```
    - topWrapper
```
JPanel topWrapper
```
    - jSplitPane1
```
JSplitPane jSplitPane1
```
    - taskManagerPanel
```
CDTaskManagerPanel taskManagerPanel
```
    - typePanel
```
PreviewPanel.TypePanel typePanel
```
    - gridBagConstraints
```
GridBagConstraints gridBagConstraints
```
    - acc1
```
MeasureCollection[] acc1
```
    - acc2
```
MeasureCollection[] acc2
```
    - secondLine
```
String secondLine
```
    - buttonRun
```
JButton buttonRun
```
    - buttonScreenshot
```
JButton buttonScreenshot
```
    - buttonStop
```
JButton buttonStop
```
    - buttonZoomInX
```
JButton buttonZoomInX
```
    - buttonZoomInY
```
JButton buttonZoomInY
```
    - buttonZoomOutX
```
JButton buttonZoomOutX
```
    - buttonZoomOutY
```
JButton buttonZoomOutY
```
    - checkboxDrawClustering
```
JCheckBox checkboxDrawClustering
```
    - checkboxDrawGT
```
JCheckBox checkboxDrawGT
```
    - checkboxDrawMicro
```
JCheckBox checkboxDrawMicro
```
    - checkboxDrawPoints
```
JCheckBox checkboxDrawPoints
```
    - clusteringVisualEvalPanel1
```
ClusteringVisualEvalPanel clusteringVisualEvalPanel1
```
    - comboX
```
JComboBox<E> comboX
```
    - comboY
```
JComboBox<E> comboY
```
    - graphCanvas
```
GraphCanvas graphCanvas
```
    - graphPanel
```
JPanel graphPanel
```
    - graphPanelControlBottom
```
JPanel graphPanelControlBottom
```
    - graphPanelControlTop
```
JPanel graphPanelControlTop
```
    - graphScrollPanel
```
JScrollPane graphScrollPanel
```
    - jLabel1
```
JLabel jLabel1
```
    - labelEvents
```
JLabel labelEvents
```
    - labelNumPause
```
JLabel labelNumPause
```
    - labelX
```
JLabel labelX
```
    - labelY
```
JLabel labelY
```
    - label_processed_points
```
JLabel label_processed_points
```
    - label_processed_points_value
```
JLabel label_processed_points_value
```
    - numPauseAfterPoints
```
JTextField numPauseAfterPoints
```
    - panelControl
```
JPanel panelControl
```
    - panelEvalOutput
```
JPanel panelEvalOutput
```
    - panelVisualWrapper
```
JPanel panelVisualWrapper
```
    - scrollPane0
```
JScrollPane scrollPane0
```
    - scrollPane1
```
JScrollPane scrollPane1
```
    - speedSlider
```
JSlider speedSlider
```
    - splitVisual
```
JSplitPane splitVisual
```
    - streamPanel0
```
StreamPanel streamPanel0
```
    - streamPanel1
```
StreamPanel streamPanel1
```
- Class moa.gui.TextViewerPanel extends JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - textArea
```
JTextArea textArea
```
    - scrollPane
```
JScrollPane scrollPane
```
    - exportButton
```
JButton exportButton
```
- Class moa.gui.WEKAClassOptionEditComponent extends JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - editedOption
```
WEKAClassOption editedOption
```
    - textField
```
JTextField textField
```
    - editButton
```
JButton editButton
```
Package moa.gui.active
- Class moa.gui.active.ALPreviewPanel extends JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - previewedThread
```
ALTaskThread previewedThread
```
    - previewLabel
```
JLabel previewLabel
```
    - refreshButton
```
JButton refreshButton
```
    - autoRefreshLabel
```
JLabel autoRefreshLabel
```
    - autoRefreshComboBox
```
JComboBox<E> autoRefreshComboBox
```
    - textViewerPanel
```
ALTaskTextViewerPanel textViewerPanel
```
    - autoRefreshTimer
```
Timer autoRefreshTimer
```
- Class moa.gui.active.ALTaskManagerPanel extends JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - currentTask
```
ALMainTask currentTask
```
    - taskList
```
List<E> taskList
```
    - configureTaskButton
```
JButton configureTaskButton
```
    - taskDescField
```
JTextField taskDescField
```
    - runTaskButton
```
JButton runTaskButton
```
    - taskTableModel
```
ALTaskManagerPanel.TaskTableModel taskTableModel
```
    - taskTable
```
JTable taskTable
```
    - pauseTaskButton
```
JButton pauseTaskButton
```
    - resumeTaskButton
```
JButton resumeTaskButton
```
    - cancelTaskButton
```
JButton cancelTaskButton
```
    - deleteTaskButton
```
JButton deleteTaskButton
```
    - previewPanel
```
ALPreviewPanel previewPanel
```
    - prefs
```
Preferences prefs
```
    - PREF_NAME
```
String PREF_NAME
```
- Class moa.gui.active.ALTaskManagerPanel.ProgressCellRenderer extends JProgressBar implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.active.ALTaskManagerPanel.TaskColorCodingCellRenderer extends DefaultTableCellRenderer implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.active.ALTaskManagerPanel.TaskTableModel extends AbstractTableModel implements Serializable
  
  serialVersionUID:
  
  1L
- Class moa.gui.active.ALTaskTextViewerPanel extends JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - mainPane
```
JSplitPane mainPane
```
    - topWrapper
```
JPanel topWrapper
```
    - previewTableModel
```
PreviewTableModel previewTableModel
```
    - previewTable
```
JTable previewTable
```
    - errorTextField
```
JTextArea errorTextField
```
    - scrollPaneTable
```
JScrollPane scrollPaneTable
```
    - scrollPaneText
```
JScrollPane scrollPaneText
```
    - exportButton
```
JButton exportButton
```
    - panelEvalOutput
```
JPanel panelEvalOutput
```
    - measureOverview
```
MeasureOverview measureOverview
```
    - gridBagConstraints
```
GridBagConstraints gridBagConstraints
```
    - graphPanel
```
JPanel graphPanel
```
    - graphPanelControlLeft
```
JPanel graphPanelControlLeft
```
    - buttonZoomInY
```
JButton buttonZoomInY
```
    - buttonZoomOutY
```
JButton buttonZoomOutY
```
    - labelEvents
```
JLabel labelEvents
```
    - graphPanelTabbedPane
```
JTabbedPane graphPanelTabbedPane
```
    - graphScrollPanel
```
JScrollPane graphScrollPanel
```
    - graphCanvas
```
ProcessGraphCanvas graphCanvas
```
    - paramGraphScrollPanel
```
JScrollPane paramGraphScrollPanel
```
    - paramGraphCanvas
```
ParamGraphCanvas paramGraphCanvas
```
    - budgetGraphScrollPanel
```
JScrollPane budgetGraphScrollPanel
```
    - budgetGraphCanvas
```
ParamGraphCanvas budgetGraphCanvas
```
    - graphPanelControlRight
```
JPanel graphPanelControlRight
```
    - buttonZoomInX
```
JButton buttonZoomInX
```
    - buttonZoomOutX
```
JButton buttonZoomOutX
```
    - variedParamName
```
String variedParamName
```
    - variedParamValues
```
double[] variedParamValues
```
    - budgets
```
double[] budgets
```
- Class moa.gui.active.MeasureOverview extends JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - measures
```
MeasureCollection[] measures
```
    - measureCollectionSelected
```
int measureCollectionSelected
```
    - variedParamName
```
String variedParamName
```
    - variedParamValues
```
double[] variedParamValues
```
    - contentPanel
```
JPanel contentPanel
```
    - scrollPane
```
JScrollPane scrollPane
```
    - radioGroup
```
ButtonGroup radioGroup
```
    - radioButtons
```
JRadioButton[] radioButtons
```
    - currentValues
```
JLabel[] currentValues
```
    - meanValues
```
JLabel[] meanValues
```
    - labelMeasure
```
JLabel labelMeasure
```
    - labelCurrent
```
JLabel labelCurrent
```
    - labelMean
```
JLabel labelMean
```
    - paramBox
```
JComboBox<E> paramBox
```

Package moa.gui.clustertab

Class moa.gui.clustertab.ClusteringAlgoPanel extends JPanel implements Serializable
- Serialized Fields
  - editComponents
```
List<E> editComponents
```
  - streamOption
```
ClassOption streamOption
```
  - algorithmOption0
```
ClassOption algorithmOption0
```
  - algorithmOption1
```
ClassOption algorithmOption1
```
Class moa.gui.clustertab.ClusteringEvalPanel extends JPanel implements Serializable
- Serialized Fields
  - measure_classes
```
Class<T>[] measure_classes
```
  - labels
```
ArrayList<E> labels
```
  - checkboxes
```
ArrayList<E> checkboxes
```
  - contentPanel
```
JPanel contentPanel
```
  - scrollPane
```
JScrollPane scrollPane
```

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

Serialized Fields

clusteringTab
```
ClusteringTabPanel clusteringTab
```
lastfile
```
String lastfile
```
buttonExport
```
JButton buttonExport
```
buttonExportSettings
```
JButton buttonExportSettings
```
buttonImportSettings
```
JButton buttonImportSettings
```
buttonStart
```
JButton buttonStart
```
buttonStop
```
JButton buttonStop
```
buttonWeka
```
JButton buttonWeka
```

clusteringAlgoPanel0

ClusteringAlgoPanel clusteringAlgoPanel0

clusteringEvalPanel1

ClusteringEvalPanel clusteringEvalPanel1

logPanel
```
TextViewerPanel logPanel
```

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

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

Serialized Fields

names
```
ArrayList<E> names
```
values
```
ArrayList<E> values
```
radiobuttons
```
ArrayList<E> radiobuttons
```
measures0
```
MeasureCollection[] measures0
```
measures1
```
MeasureCollection[] measures1
```
radioGroup
```
ButtonGroup radioGroup
```
labelDummy
```
JLabel labelDummy
```
labelMeasure
```
JLabel labelMeasure
```
labelCurrent0
```
JLabel labelCurrent0
```
labelMean0
```
JLabel labelMean0
```
contentPanel
```
JPanel contentPanel
```
scrollPane
```
JScrollPane scrollPane
```

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

Serialized Fields

visualizer
```
RunVisualizer visualizer
```
visualizerThread
```
Thread visualizerThread
```
running
```
Boolean running
```
clusteringSetupTab
```
ClusteringSetupTab clusteringSetupTab
```
exportFile
```
String exportFile
```
screenshotFilebase
```
String screenshotFilebase
```
buttonRun
```
JButton buttonRun
```
buttonScreenshot
```
JButton buttonScreenshot
```
buttonStop
```
JButton buttonStop
```
buttonZoomInX
```
JButton buttonZoomInX
```
buttonZoomInY
```
JButton buttonZoomInY
```
buttonZoomOutX
```
JButton buttonZoomOutX
```
buttonZoomOutY
```
JButton buttonZoomOutY
```
checkboxDrawClustering
```
JCheckBox checkboxDrawClustering
```
checkboxDrawGT
```
JCheckBox checkboxDrawGT
```
checkboxDrawMicro
```
JCheckBox checkboxDrawMicro
```
checkboxDrawPoints
```
JCheckBox checkboxDrawPoints
```

clusteringVisualEvalPanel1

ClusteringVisualEvalPanel clusteringVisualEvalPanel1

comboX
```
JComboBox<E> comboX
```
comboY
```
JComboBox<E> comboY
```
graphCanvas
```
GraphCanvas graphCanvas
```
graphPanel
```
JPanel graphPanel
```
graphPanelControlBottom
```
JPanel graphPanelControlBottom
```
graphPanelControlTop
```
JPanel graphPanelControlTop
```
graphScrollPanel
```
JScrollPane graphScrollPanel
```
jLabel1
```
JLabel jLabel1
```
jSplitPane1
```
JSplitPane jSplitPane1
```
labelEvents
```
JLabel labelEvents
```
labelNumPause
```
JLabel labelNumPause
```
labelX
```
JLabel labelX
```
labelY
```
JLabel labelY
```
label_processed_points
```
JLabel label_processed_points
```
label_processed_points_value
```
JLabel label_processed_points_value
```
numPauseAfterPoints
```
JTextField numPauseAfterPoints
```
panelControl
```
JPanel panelControl
```
panelEvalOutput
```
JPanel panelEvalOutput
```
panelVisualWrapper
```
JPanel panelVisualWrapper
```
scrollPane0
```
JScrollPane scrollPane0
```
scrollPane1
```
JScrollPane scrollPane1
```
speedSlider
```
JSlider speedSlider
```
splitVisual
```
JSplitPane splitVisual
```
streamPanel0
```
StreamPanel streamPanel0
```
streamPanel1
```
StreamPanel streamPanel1
```
topWrapper
```
JPanel topWrapper
```

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

Package moa.gui.outliertab

Class moa.gui.outliertab.OutlierAlgoPanel extends JPanel implements Serializable
- Serialized Fields
  - editComponents
```
List<E> editComponents
```
  - streamOption
```
ClassOption streamOption
```
  - algorithmOption0
```
ClassOption algorithmOption0
```
  - algorithmOption1
```
ClassOption algorithmOption1
```
Class moa.gui.outliertab.OutlierEvalPanel extends JPanel implements Serializable
- Serialized Fields
  - measure_classes
```
Class<T>[] measure_classes
```
  - labels
```
ArrayList<E> labels
```
  - checkboxes
```
ArrayList<E> checkboxes
```
  - contentPanel
```
JPanel contentPanel
```
  - scrollPane
```
JScrollPane scrollPane
```

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

Serialized Fields

outlierTab
```
OutlierTabPanel outlierTab
```
lastfile
```
String lastfile
```
buttonExport
```
JButton buttonExport
```
buttonExportSettings
```
JButton buttonExportSettings
```
buttonImportSettings
```
JButton buttonImportSettings
```
buttonStart
```
JButton buttonStart
```
buttonStop
```
JButton buttonStop
```
buttonWeka
```
JButton buttonWeka
```
outlierAlgoPanel0
```
OutlierAlgoPanel outlierAlgoPanel0
```
outlierEvalPanel1
```
OutlierEvalPanel outlierEvalPanel1
```
logPanel
```
TextViewerPanel logPanel
```

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

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

Serialized Fields

names
```
ArrayList<E> names
```
values
```
ArrayList<E> values
```
radiobuttons
```
ArrayList<E> radiobuttons
```
measures0
```
MeasureCollection[] measures0
```
radioGroup
```
ButtonGroup radioGroup
```
labelDummy
```
JLabel labelDummy
```
labelMeasure
```
JLabel labelMeasure
```
labelCurrent0
```
JLabel labelCurrent0
```
labelMean0
```
JLabel labelMean0
```
contentPanel
```
JPanel contentPanel
```
scrollPane
```
JScrollPane scrollPane
```

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

Serialized Fields

visualizer
```
RunOutlierVisualizer visualizer
```
visualizerThread
```
Thread visualizerThread
```
running
```
Boolean running
```
outlierSetupTab
```
OutlierSetupTab outlierSetupTab
```
exportFile
```
String exportFile
```
screenshotFilebase
```
String screenshotFilebase
```
buttonRun
```
JButton buttonRun
```
buttonScreenshot
```
JButton buttonScreenshot
```
buttonRedraw
```
JButton buttonRedraw
```
buttonStop
```
JButton buttonStop
```
buttonZoomInX
```
JButton buttonZoomInX
```
buttonZoomInY
```
JButton buttonZoomInY
```
buttonZoomOutX
```
JButton buttonZoomOutX
```
buttonZoomOutY
```
JButton buttonZoomOutY
```
checkboxDrawOutliers
```
JCheckBox checkboxDrawOutliers
```
checkboxDrawPoints
```
JCheckBox checkboxDrawPoints
```
checkboxWaitWinFull
```
JCheckBox checkboxWaitWinFull
```
comboX
```
JComboBox<E> comboX
```
comboY
```
JComboBox<E> comboY
```
graphCanvas
```
GraphCanvas graphCanvas
```
graphPanel
```
JPanel graphPanel
```
graphPanelControlBottom
```
JPanel graphPanelControlBottom
```
graphPanelControlTop
```
JPanel graphPanelControlTop
```
graphScrollPanel
```
JScrollPane graphScrollPanel
```
jLabel1
```
JLabel jLabel1
```
jSplitPane1
```
JSplitPane jSplitPane1
```
labelEvents
```
JLabel labelEvents
```
labelNumPause
```
JLabel labelNumPause
```
labelX
```
JLabel labelX
```
labelY
```
JLabel labelY
```
label_processed_points
```
JLabel label_processed_points
```
label_processed_points_value
```
JLabel label_processed_points_value
```
numPauseAfterPoints
```
JTextField numPauseAfterPoints
```
panelControl
```
JPanel panelControl
```
panelEvalOutput
```
JPanel panelEvalOutput
```
panelVisualWrapper
```
JPanel panelVisualWrapper
```
scrollPane0
```
JScrollPane scrollPane0
```
scrollPane1
```
JScrollPane scrollPane1
```
speedSlider
```
JSlider speedSlider
```
splitVisual
```
JSplitPane splitVisual
```
streamPanel0
```
StreamOutlierPanel streamPanel0
```
streamPanel1
```
StreamOutlierPanel streamPanel1
```
topWrapper
```
JPanel topWrapper
```

Package moa.gui.visualization
- Class moa.gui.visualization.AbstractGraphAxes extends JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - width
```
int width
```
    - height
```
int height
```
    - x_resolution
```
double x_resolution
```
    - y_resolution
```
double y_resolution
```
    - min_x_value
```
double min_x_value
```
    - max_x_value
```
double max_x_value
```
    - max_y_value
```
double max_y_value
```
    - lower_x_value
```
double lower_x_value
```
    - upper_x_value
```
double upper_x_value
```
    - upper_y_value
```
double upper_y_value
```
- Class moa.gui.visualization.AbstractGraphCanvas extends JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - measures
```
MeasureCollection[] measures
```
    - measureStds
```
MeasureCollection[] measureStds
```
    - measureSelected
```
int measureSelected
```
    - axesPanel
```
AbstractGraphAxes axesPanel
```
    - plotPanel
```
AbstractGraphPlot plotPanel
```
    - min_x_value
```
double min_x_value
```
    - max_x_value
```
double max_x_value
```
    - max_y_value
```
double max_y_value
```
    - x_resolution
```
double x_resolution
```
    - y_resolution
```
double y_resolution
```
    - baseWidth
```
double baseWidth
```
    - baseHeight
```
double baseHeight
```
- Class moa.gui.visualization.AbstractGraphPlot extends JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - measures
```
MeasureCollection[] measures
```
    - measureStds
```
MeasureCollection[] measureStds
```
    - measureSelected
```
int measureSelected
```
    - min_x_value
```
double min_x_value
```
    - max_x_value
```
double max_x_value
```
    - max_y_value
```
double max_y_value
```
    - lower_x_value
```
double lower_x_value
```
    - upper_x_value
```
double upper_x_value
```
    - upper_y_value
```
double upper_y_value
```
    - x_resolution
```
double x_resolution
```
    - colors
```
Color[] colors
```
    - isStandardDeviationPainted
```
boolean isStandardDeviationPainted
```
- Class moa.gui.visualization.ClusterPanel extends JPanel implements Serializable
  - Serialized Fields
    - cluster
```
SphereCluster cluster
```
    - center
```
double[] center
```
    - decay_rate
```
double decay_rate
```
    - x_dim
```
int x_dim
```
    - y_dim
```
int y_dim
```
    - col
```
Color col
```
    - default_color
```
Color default_color
```
    - direction
```
double[] direction
```
    - streamPanel
```
StreamPanel streamPanel
```
    - panel_size
```
int panel_size
```
    - window_size
```
int window_size
```
    - highligted
```
boolean highligted
```
    - r
```
double r
```
- Class moa.gui.visualization.DataPoint extends DenseInstance implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - timestamp
```
int timestamp
```
    - measure_values
```
HashMap<K,V> measure_values
```
    - noiseLabel
```
int noiseLabel
```
- Class moa.gui.visualization.GraphAxes extends JPanel implements Serializable
  - Serialized Fields
    - x_offset_left
```
int x_offset_left
```
    - x_offset_right
```
int x_offset_right
```
    - y_offset_bottom
```
int y_offset_bottom
```
    - y_offset_top
```
int y_offset_top
```
    - height
```
int height
```
    - width
```
int width
```
    - x_resolution
```
double x_resolution
```
    - processFrequency
```
int processFrequency
```
    - min_value
```
double min_value
```
    - max_value
```
double max_value
```
    - max_x_value
```
int max_x_value
```
- Class moa.gui.visualization.GraphCanvas extends JPanel implements Serializable
  - Serialized Fields
    - measure0
```
MeasureCollection measure0
```
    - measure1
```
MeasureCollection measure1
```
    - measureSelected
```
int measureSelected
```
    - clusterEvents
```
ArrayList<E> clusterEvents
```
    - eventLabelList
```
ArrayList<E> eventLabelList
```
    - axesPanel
```
GraphAxes axesPanel
```
    - curvePanel
```
GraphCurve curvePanel
```
    - eventPanel
```
JPanel eventPanel
```
    - eventCounter
```
int eventCounter
```
    - x_offset_left
```
int x_offset_left
```
    - x_offset_right
```
int x_offset_right
```
    - y_offset_bottom
```
int y_offset_bottom
```
    - y_offset_top
```
int y_offset_top
```
    - processFrequency
```
int processFrequency
```
    - min_y_value
```
double min_y_value
```
    - max_y_value
```
double max_y_value
```
    - max_x_value
```
double max_x_value
```
    - x_resolution
```
double x_resolution
```
    - y_resolution
```
double y_resolution
```
    - viewport
```
JViewport viewport
```
- Class moa.gui.visualization.GraphCurve extends JPanel implements Serializable
  - Serialized Fields
    - min_value
```
double min_value
```
    - max_value
```
double max_value
```
    - measure0
```
MeasureCollection measure0
```
    - measure1
```
MeasureCollection measure1
```
    - measureSelected
```
int measureSelected
```
    - x_resolution
```
double x_resolution
```
    - processFrequency
```
int processFrequency
```
    - clusterEvents
```
ArrayList<E> clusterEvents
```
- 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 JPanel implements Serializable
  - Serialized Fields
    - infoFrame
```
JFrame infoFrame
```
    - jTextPane1
```
JTextPane jTextPane1
```
- Class moa.gui.visualization.OutlierPanel extends JPanel implements Serializable
  - Serialized Fields
    - bAntiAlias
```
boolean bAntiAlias
```
    - myOutlierDetector
```
MyBaseOutlierDetector myOutlierDetector
```
    - myOutlier
```
MyBaseOutlierDetector.Outlier myOutlier
```
    - cluster
```
SphereCluster cluster
```
    - frameInfo
```
JDialog frameInfo
```
    - center
```
double[] center
```
    - decay_rate
```
double decay_rate
```
    - x_dim
```
int x_dim
```
    - y_dim
```
int y_dim
```
    - col
```
Color col
```
    - default_color
```
Color default_color
```
    - streamPanel
```
StreamOutlierPanel streamPanel
```
    - panel_size
```
int panel_size
```
    - window_size
```
int window_size
```
    - highligted
```
boolean highligted
```
    - r
```
double r
```
- 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 JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - point
```
DataPoint point
```
    - x_dim
```
int x_dim
```
    - y_dim
```
int y_dim
```
    - col
```
Color col
```
    - default_color
```
Color default_color
```
    - panel_size
```
int panel_size
```
    - window_size
```
int window_size
```
    - highligted
```
boolean highligted
```
    - decayRate
```
double decayRate
```
    - decayThreshold
```
double decayThreshold
```
    - type
```
int type
```
    - TYPE_PLAIN
```
int TYPE_PLAIN
```
    - TYPE_CLUSTERED
```
int TYPE_CLUSTERED
```
    - sp
```
StreamPanel sp
```
- 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
    - processFrequencies
```
int[] processFrequencies
```
    - min_processFrequency
```
int min_processFrequency
```
- Class moa.gui.visualization.StreamOutlierPanel extends JPanel implements Serializable
  - Serialized Fields
    - highlighted_outlier
```
OutlierPanel highlighted_outlier
```
    - zoom_factor
```
double zoom_factor
```
    - zoom
```
int zoom
```
    - width_org
```
int width_org
```
    - height_org
```
int height_org
```
    - activeXDim
```
int activeXDim
```
    - activeYDim
```
int activeYDim
```
    - layerOutliers
```
JPanel layerOutliers
```
    - layerAlgorithmTitle
```
moa.gui.visualization.StreamOutlierPanel.LabelAlgorithmPanel layerAlgorithmTitle
```
    - m_visualizer
```
RunOutlierVisualizer m_visualizer
```
    - m_outlierDetector
```
MyBaseOutlierDetector m_outlierDetector
```
    - pointImg
```
BufferedImage pointImg
```
    - canvasImg
```
BufferedImage canvasImg
```
    - layerCanvas
```
moa.gui.visualization.StreamOutlierPanel.ImgPanel layerCanvas
```
    - bAntiAlias
```
boolean bAntiAlias
```
    - EVENTSIZE
```
int EVENTSIZE
```
- Class moa.gui.visualization.StreamPanel extends JPanel implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - highlighted_cluster
```
ClusterPanel highlighted_cluster
```
    - zoom_factor
```
double zoom_factor
```
    - zoom
```
int zoom
```
    - width_org
```
int width_org
```
    - height_org
```
int height_org
```
    - activeXDim
```
int activeXDim
```
    - activeYDim
```
int activeYDim
```
    - layerPoints
```
JPanel layerPoints
```
    - layerMicro
```
JPanel layerMicro
```
    - layerMacro
```
JPanel layerMacro
```
    - layerGroundTruth
```
JPanel layerGroundTruth
```
    - pointCanvas
```
BufferedImage pointCanvas
```
    - layerPointCanvas
```
moa.gui.visualization.StreamPanel.pointCanvasPanel layerPointCanvas
```
    - pointsVisible
```
boolean pointsVisible
```
    - ANTIALIAS
```
boolean ANTIALIAS
```
Package moa.learners
- Class moa.learners.ChangeDetectorLearner extends AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - driftDetectionMethodOption
```
ClassOption driftDetectionMethodOption
```
    - driftDetectionMethod
```
ChangeDetector driftDetectionMethod
```
Package moa.options
- Class moa.options.AbstractClassOption extends AbstractOption implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - currentValue
```
Object currentValue
```
      The current object
    - requiredType
```
Class<T> requiredType
```
      The class type
    - defaultCLIString
```
String defaultCLIString
```
      The default command line interface text.
    - nullString
```
String nullString
```
      The null text.
- 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
```
ChangeListener listener
```
- Class moa.options.ClassOptionWithNames extends AbstractClassOption implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - names
```
String[] names
```
- Class moa.options.DependentOptionsUpdater extends Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - lastEvalTaskCLIString
```
String lastEvalTaskCLIString
```
    - evalTaskOption
```
ClassOptionWithListenerOption evalTaskOption
```
    - 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 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
    - strLine
```
String strLine
```
    - br
```
BufferedReader br
```
    - fileOption
```
FileOption fileOption
```
- Class moa.recommender.dataset.impl.JesterDataset extends AbstractOptionHandler implements Serializable
  - Serialized Fields
    - strLine
```
String strLine
```
    - br
```
BufferedReader br
```
    - fileOption
```
FileOption fileOption
```
- Class moa.recommender.dataset.impl.MovielensDataset extends AbstractOptionHandler implements Serializable
  - Serialized Fields
    - strLine
```
String strLine
```
    - br
```
BufferedReader br
```
    - fileOption
```
FileOption fileOption
```
Package moa.recommender.predictor
- Class moa.recommender.predictor.BaselinePredictor extends AbstractOptionHandler implements Serializable
  - Serialized Fields
    - rp
```
BaselinePredictor rp
```
    - dataOption
```
ClassOption dataOption
```
- Class moa.recommender.predictor.BRISMFPredictor extends AbstractOptionHandler implements Serializable
  - Serialized Fields
    - rp
```
BRISMFPredictor rp
```
    - featuresOption
```
IntOption featuresOption
```
    - lRateOption
```
FloatOption lRateOption
```
    - rFactorOption
```
FloatOption rFactorOption
```
    - iterationsOption
```
IntOption iterationsOption
```
    - dataOption
```
ClassOption dataOption
```
Package moa.recommender.rc.data
- Class moa.recommender.rc.data.AbstractRecommenderData extends Object implements Serializable
  
  serialVersionUID:
  
  -5409390358073330733L
  - Serialized Fields
    - updatables
```
ArrayList<E> updatables
```
    - disableUpdates
```
boolean disableUpdates
```
Package moa.recommender.rc.data.impl
- Class moa.recommender.rc.data.impl.MemRecommenderData extends AbstractRecommenderData implements Serializable
  
  serialVersionUID:
  
  2844235954903772074L
  - Serialized Fields
    - ratingsUser
```
Map<K,V> ratingsUser
```
    - ratingsItem
```
Map<K,V> ratingsItem
```
    - usersStats
```
Map<K,V> usersStats
```
    - itemsStats
```
Map<K,V> itemsStats
```
    - nItems
```
int nItems
```
    - nUsers
```
int nUsers
```
    - sumRatings
```
double sumRatings
```
    - nRatings
```
int nRatings
```
    - minRating
```
double minRating
```
    - maxRating
```
double maxRating
```
Package moa.recommender.rc.predictor
Package moa.recommender.rc.predictor.impl
- Class moa.recommender.rc.predictor.impl.BaselinePredictor extends 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
```
ArrayList<E> list
```
- Class moa.recommender.rc.utils.Pair extends Object implements Serializable
  
  serialVersionUID:
  
  -1048781440947783998L
  - Serialized Fields
    - first
```
Comparable<T> first
```
    - second
```
Comparable<T> second
```
- Class moa.recommender.rc.utils.SparseVector extends Vector implements Serializable
  
  serialVersionUID:
  
  1971022389328939125L
  - Serialized Fields
    - map
```
Map<K,V> map
```
- Class moa.recommender.rc.utils.Vector extends 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
```
    - instances
```
Instances instances
```
    - fileReader
```
Reader fileReader
```
    - hitEndOfFile
```
boolean hitEndOfFile
```
    - lastInstanceRead
```
InstanceExample lastInstanceRead
```
    - numInstancesRead
```
int numInstancesRead
```
    - fileProgressMonitor
```
InputStreamProgressMonitor fileProgressMonitor
```
    - clusterEvents
```
ArrayList<E> clusterEvents
```
- Class moa.streams.BootstrappedStream extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - streamOption
```
ClassOption streamOption
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - originalStream
```
MultiTargetInstanceStream originalStream
```
    - waitingToSend
```
int waitingToSend
```
    - queuedInstance
```
Example<T> queuedInstance
```
    - randomGenerator
```
Random randomGenerator
```
- Class moa.streams.CachedInstancesStream extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - toStream
```
Instances toStream
```
    - streamPos
```
int streamPos
```
- Class moa.streams.ConceptDriftRealStream extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - streamOption
```
ClassOption streamOption
```
    - driftstreamOption
```
ClassOption driftstreamOption
```
    - alphaOption
```
FloatOption alphaOption
```
    - positionOption
```
IntOption positionOption
```
    - widthOption
```
IntOption widthOption
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - inputStream
```
InstanceStream inputStream
```
    - driftStream
```
InstanceStream driftStream
```
    - random
```
Random random
```
    - numberInstanceStream
```
int numberInstanceStream
```
    - streamHeader
```
InstancesHeader streamHeader
```
    - inputInstance
```
Instance inputInstance
```
    - driftInstance
```
Instance driftInstance
```
- Class moa.streams.ConceptDriftStream extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - streamOption
```
ClassOption streamOption
```
    - driftstreamOption
```
ClassOption driftstreamOption
```
    - alphaOption
```
FloatOption alphaOption
```
    - positionOption
```
IntOption positionOption
```
    - widthOption
```
IntOption widthOption
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - inputStream
```
ExampleStream<E extends Example> inputStream
```
    - driftStream
```
ExampleStream<E extends Example> driftStream
```
    - random
```
Random random
```
    - numberInstanceStream
```
int numberInstanceStream
```
- Class moa.streams.FilteredStream extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - streamOption
```
ClassOption streamOption
```
    - filtersOption
```
ClassOption filtersOption
```
    - filterChain
```
ExampleStream<E extends Example> filterChain
```
- Class moa.streams.ImbalancedStream extends AbstractOptionHandler implements Serializable
  - Serialized Fields
    - streamOption
```
ClassOption streamOption
```
    - classRatioOption
```
StringOption classRatioOption
```
    - instanceRandomSeedOption
```
IntOption instanceRandomSeedOption
```
    - originalStream
```
ExampleStream<E extends Example> originalStream
```
    - instancesBuffer
```
Instances[] instancesBuffer
```
    - probPerClass
```
double[] probPerClass
```
    - random
```
Random random
```
    - numClasses
```
int numClasses
```
- Class moa.streams.IrrelevantFeatureAppenderStream extends AbstractOptionHandler implements Serializable
  - Serialized Fields
    - streamOption
```
ClassOption streamOption
```
    - numNumericFeaturesOption
```
IntOption numNumericFeaturesOption
```
    - numCategoricalFeaturesOption
```
IntOption numCategoricalFeaturesOption
```
    - numValuesCategoricalFeatureOption
```
IntOption numValuesCategoricalFeatureOption
```
    - instanceRandomSeedOption
```
IntOption instanceRandomSeedOption
```
    - originalStream
```
ExampleStream<E extends Example> originalStream
```
      The original stream.
    - newHeader
```
InstancesHeader newHeader
```
      The header with the new features appended.
    - random
```
Random random
```
      A pseudo-random number generator.
- Class moa.streams.MultiFilteredStream extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - streamOption
```
ClassOption streamOption
```
    - filtersOption
```
ListOption filtersOption
```
    - filterChain
```
ExampleStream<E extends Example> filterChain
```
- Class moa.streams.MultiLabelFilteredStream extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - streamOption
```
ClassOption streamOption
```
    - filtersOption
```
ClassOption filtersOption
```
    - filterChain
```
ExampleStream<E extends Example> filterChain
```
- Class moa.streams.MultiTargetArffFileStream extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - arffFileOption
```
FileOption arffFileOption
```
    - outputAttributesOption
```
RangeOption outputAttributesOption
```
    - instances
```
Instances instances
```
    - fileReader
```
Reader fileReader
```
    - hitEndOfFile
```
boolean hitEndOfFile
```
    - lastInstanceRead
```
InstanceExample lastInstanceRead
```
    - numInstancesRead
```
int numInstancesRead
```
    - fileProgressMonitor
```
InputStreamProgressMonitor fileProgressMonitor
```
- Class moa.streams.PartitioningStream extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - streamOption
```
ClassOption streamOption
```
    - partitionIndexOption
```
IntOption partitionIndexOption
```
    - numPartitionsOption
```
IntOption numPartitionsOption
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - baseStream
```
ExampleStream<E extends Example> baseStream
```
    - partitionIndex
```
int partitionIndex
```
    - numPartitions
```
int numPartitions
```
    - random
```
Random random
```
- Class moa.streams.RecurrentConceptDriftStream extends ConceptDriftStream implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - widthRecurrenceOption
```
IntOption widthRecurrenceOption
```
    - stabPeriodOption
```
IntOption stabPeriodOption
```
    - numRepOption
```
IntOption numRepOption
```

Package moa.streams.clustering

Class moa.streams.clustering.ClusterEvent extends EventObject implements Serializable
- Serialized Fields
  - type
```
String type
```
  - message
```
String message
```
  - timestamp
```
long timestamp
```
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

defaultfile
```
String defaultfile
```
arffFileOption
```
FileOption arffFileOption
```
classIndexOption
```
IntOption classIndexOption
```
normalizeOption
```
FlagOption normalizeOption
```
removeAttributesOption
```
ListOption removeAttributesOption
```
keepNonNumericalAttrOption
```
FlagOption keepNonNumericalAttrOption
```
instances
```
Instances instances
```
fileReader
```
Reader fileReader
```
hitEndOfFile
```
boolean hitEndOfFile
```
lastInstanceRead
```
InstanceExample lastInstanceRead
```
numInstancesRead
```
int numInstancesRead
```

fileProgressMonitor

InputStreamProgressMonitor fileProgressMonitor

removeAttributes
```
Integer[] removeAttributes
```
filteredDataset
```
Instances filteredDataset
```
valuesMinMaxDiff
```
ArrayList<E> valuesMinMaxDiff
```

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

serialVersionUID:: 1L

Serialized Fields

modelRandomSeedOption
```
IntOption modelRandomSeedOption
```
instanceRandomSeedOption
```
IntOption instanceRandomSeedOption
```
numClusterOption
```
IntOption numClusterOption
```
numClusterRangeOption
```
IntOption numClusterRangeOption
```
kernelRadiiOption
```
FloatOption kernelRadiiOption
```
kernelRadiiRangeOption
```
FloatOption kernelRadiiRangeOption
```
densityRangeOption
```
FloatOption densityRangeOption
```
speedOption
```
IntOption speedOption
```
speedRangeOption
```
IntOption speedRangeOption
```
noiseLevelOption
```
FloatOption noiseLevelOption
```
noiseInClusterOption
```
FlagOption noiseInClusterOption
```
eventFrequencyOption
```
IntOption eventFrequencyOption
```
eventMergeSplitOption
```
FlagOption eventMergeSplitOption
```
eventDeleteCreateOption
```
FlagOption eventDeleteCreateOption
```
merge_threshold
```
double merge_threshold
```
kernelMovePointFrequency
```
int kernelMovePointFrequency
```
maxDistanceMoveThresholdByStep
```
double maxDistanceMoveThresholdByStep
```
maxOverlapFitRuns
```
int maxOverlapFitRuns
```
eventFrequencyRange
```
double eventFrequencyRange
```
debug
```
boolean debug
```
kernels
```
AutoExpandVector<T> kernels
```
instanceRandom
```
Random instanceRandom
```
streamHeader
```
InstancesHeader streamHeader
```
numGeneratedInstances
```
int numGeneratedInstances
```
numActiveKernels
```
int numActiveKernels
```
nextEventCounter
```
int nextEventCounter
```
nextEventChoice
```
int nextEventChoice
```
clusterIdCounter
```
int clusterIdCounter
```

mergeClusterA

moa.streams.clustering.RandomRBFGeneratorEvents.GeneratorCluster mergeClusterA

mergeClusterB

moa.streams.clustering.RandomRBFGeneratorEvents.GeneratorCluster mergeClusterB

mergeKernelsOverlapping
```
boolean mergeKernelsOverlapping
```

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

serialVersionUID:: 1L

Serialized Fields

defaultfile
```
String defaultfile
```
csvFileOption
```
FileOption csvFileOption
```
splitCharOption
```
StringOption splitCharOption
```
classIndexOption
```
FlagOption classIndexOption
```
dataset
```
Instances dataset
```
fileReader
```
BufferedReader fileReader
```
hitEndOfFile
```
boolean hitEndOfFile
```
lastInstanceRead
```
InstanceExample lastInstanceRead
```
numInstancesRead
```
int numInstancesRead
```
numTokens
```
int numTokens
```
numAttributes
```
int numAttributes
```

fileProgressMonitor

InputStreamProgressMonitor fileProgressMonitor

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
    - randomSeedOption
```
IntOption randomSeedOption
```
    - attNoiseFractionOption
```
FloatOption attNoiseFractionOption
```
    - classNoiseFractionOption
```
FloatOption classNoiseFractionOption
```
    - random
```
Random random
```
    - attValObservers
```
AutoExpandVector<T> attValObservers
```
- Class moa.streams.filters.RBFFilter extends AbstractStreamFilter implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - dataset
```
InstancesHeader dataset
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - numLatentOption
```
IntOption numLatentOption
```
    - random
```
Random random
```
    - c
```
double[] c
```
    - r
```
double[] r
```
- Class moa.streams.filters.ReLUFilter extends AbstractStreamFilter implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - dataset
```
InstancesHeader dataset
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - numLatentOption
```
IntOption numLatentOption
```
    - H
```
int H
```
    - random
```
Random random
```
    - W
```
double[][] W
```
- Class moa.streams.filters.RemoveDiscreteAttributeFilter extends AbstractStreamFilter implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - streamHeader
```
InstancesHeader streamHeader
```
    - numericAttributes
```
List<E> numericAttributes
```
- Class moa.streams.filters.ReplacingMissingValuesFilter extends AbstractStreamFilter implements Serializable
  
  serialVersionUID:
  
  1470772215201414815L
  - Serialized Fields
    - numericReplacementStrategyOption
```
MultiChoiceOption numericReplacementStrategyOption
```
    - nominalReplacementStrategyOption
```
MultiChoiceOption nominalReplacementStrategyOption
```
    - numericalConstantValueOption
```
FloatOption numericalConstantValueOption
```
    - numAttributes
```
int numAttributes
```
    - columnsStatistics
```
double[] columnsStatistics
```
    - numberOfSamples
```
long[] numberOfSamples
```
    - lastNominalValues
```
double[] lastNominalValues
```
    - frequencies
```
HashMap<K,V>[] frequencies
```
    - numericalSelectedStrategy
```
int numericalSelectedStrategy
```
    - nominalSelectedStrategy
```
int nominalSelectedStrategy
```
- Class moa.streams.filters.SelectAttributesFilter extends AbstractMultiLabelStreamFilter implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - dataset
```
InstancesHeader dataset
```
    - inputsSelected
```
Selection inputsSelected
```
    - outputsSelected
```
Selection outputsSelected
```
    - inputStringOption
```
StringOption inputStringOption
```
    - outputStringOption
```
StringOption outputStringOption
```
Package moa.streams.generators
- Class moa.streams.generators.AgrawalGenerator extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - functionOption
```
IntOption functionOption
```
    - instanceRandomSeedOption
```
IntOption instanceRandomSeedOption
```
    - peturbFractionOption
```
FloatOption peturbFractionOption
```
    - balanceClassesOption
```
FlagOption balanceClassesOption
```
    - streamHeader
```
InstancesHeader streamHeader
```
    - instanceRandom
```
Random instanceRandom
```
    - nextClassShouldBeZero
```
boolean nextClassShouldBeZero
```
- Class moa.streams.generators.AssetNegotiationGenerator extends AbstractOptionHandler implements Serializable
  - Serialized Fields
    - functionOption
```
IntOption functionOption
```
    - noisePercentage
```
FloatOption noisePercentage
```
    - instanceRandomSeedOption
```
IntOption instanceRandomSeedOption
```
    - streamHeader
```
InstancesHeader streamHeader
```
    - instanceRandom
```
Random instanceRandom
```
    - nextClassShouldBeZero
```
boolean nextClassShouldBeZero
```
    - classFunction
```
AssetNegotiationGenerator.ClassFunction classFunction
```
- Class moa.streams.generators.HyperplaneGenerator extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - instanceRandomSeedOption
```
IntOption instanceRandomSeedOption
```
    - numClassesOption
```
IntOption numClassesOption
```
    - numAttsOption
```
IntOption numAttsOption
```
    - numDriftAttsOption
```
IntOption numDriftAttsOption
```
    - magChangeOption
```
FloatOption magChangeOption
```
    - noisePercentageOption
```
IntOption noisePercentageOption
```
    - sigmaPercentageOption
```
IntOption sigmaPercentageOption
```
    - streamHeader
```
InstancesHeader streamHeader
```
    - instanceRandom
```
Random instanceRandom
```
    - weights
```
double[] weights
```
    - sigma
```
int[] sigma
```
    - numberInstance
```
int numberInstance
```
- Class moa.streams.generators.LEDGenerator extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - instanceRandomSeedOption
```
IntOption instanceRandomSeedOption
```
    - noisePercentageOption
```
IntOption noisePercentageOption
```
    - suppressIrrelevantAttributesOption
```
FlagOption suppressIrrelevantAttributesOption
```
    - streamHeader
```
InstancesHeader streamHeader
```
    - instanceRandom
```
Random instanceRandom
```
- Class moa.streams.generators.LEDGeneratorDrift extends LEDGenerator implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - numberAttributesDriftOption
```
IntOption numberAttributesDriftOption
```
    - numberAttribute
```
int[] numberAttribute
```
- Class moa.streams.generators.MixedGenerator extends AbstractOptionHandler implements Serializable
  - Serialized Fields
    - functionOption
```
IntOption functionOption
```
    - instanceRandomSeedOption
```
IntOption instanceRandomSeedOption
```
    - balanceClassesOption
```
FlagOption balanceClassesOption
```
    - streamHeader
```
InstancesHeader streamHeader
```
    - instanceRandom
```
Random instanceRandom
```
    - nextClassShouldBeZero
```
boolean nextClassShouldBeZero
```
- Class moa.streams.generators.RandomRBFGenerator extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - modelRandomSeedOption
```
IntOption modelRandomSeedOption
```
    - instanceRandomSeedOption
```
IntOption instanceRandomSeedOption
```
    - numClassesOption
```
IntOption numClassesOption
```
    - numAttsOption
```
IntOption numAttsOption
```
    - numCentroidsOption
```
IntOption numCentroidsOption
```
    - streamHeader
```
InstancesHeader streamHeader
```
    - centroids
```
RandomRBFGenerator.Centroid[] centroids
```
    - centroidWeights
```
double[] centroidWeights
```
    - instanceRandom
```
Random instanceRandom
```
- Class moa.streams.generators.RandomRBFGenerator.Centroid extends 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
    - speedChangeOption
```
FloatOption speedChangeOption
```
    - numDriftCentroidsOption
```
IntOption numDriftCentroidsOption
```
    - speedCentroids
```
double[][] speedCentroids
```
- Class moa.streams.generators.RandomTreeGenerator extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - treeRandomSeedOption
```
IntOption treeRandomSeedOption
```
    - instanceRandomSeedOption
```
IntOption instanceRandomSeedOption
```
    - numClassesOption
```
IntOption numClassesOption
```
    - numNominalsOption
```
IntOption numNominalsOption
```
    - numNumericsOption
```
IntOption numNumericsOption
```
    - numValsPerNominalOption
```
IntOption numValsPerNominalOption
```
    - maxTreeDepthOption
```
IntOption maxTreeDepthOption
```
    - firstLeafLevelOption
```
IntOption firstLeafLevelOption
```
    - leafFractionOption
```
FloatOption leafFractionOption
```
    - treeRoot
```
RandomTreeGenerator.Node treeRoot
```
    - streamHeader
```
InstancesHeader streamHeader
```
    - instanceRandom
```
Random instanceRandom
```
- Class moa.streams.generators.RandomTreeGenerator.Node extends Object implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - classLabel
```
int classLabel
```
    - splitAttIndex
```
int splitAttIndex
```
    - splitAttValue
```
double splitAttValue
```
    - children
```
RandomTreeGenerator.Node[] children
```
- Class moa.streams.generators.SEAGenerator extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - functionOption
```
IntOption functionOption
```
    - instanceRandomSeedOption
```
IntOption instanceRandomSeedOption
```
    - balanceClassesOption
```
FlagOption balanceClassesOption
```
    - numInstancesConcept
```
IntOption numInstancesConcept
```
    - noisePercentageOption
```
IntOption noisePercentageOption
```
    - streamHeader
```
InstancesHeader streamHeader
```
    - instanceRandom
```
Random instanceRandom
```
    - nextClassShouldBeZero
```
boolean nextClassShouldBeZero
```
- Class moa.streams.generators.SineGenerator extends AbstractOptionHandler implements Serializable
  - Serialized Fields
    - instanceRandomSeedOption
```
IntOption instanceRandomSeedOption
```
    - functionOption
```
IntOption functionOption
```
    - suppressIrrelevantAttributesOption
```
FlagOption suppressIrrelevantAttributesOption
```
    - balanceClassesOption
```
FlagOption balanceClassesOption
```
    - streamHeader
```
InstancesHeader streamHeader
```
    - instanceRandom
```
Random instanceRandom
```
    - nextClassShouldBeZero
```
boolean nextClassShouldBeZero
```
- Class moa.streams.generators.STAGGERGenerator extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - instanceRandomSeedOption
```
IntOption instanceRandomSeedOption
```
    - functionOption
```
IntOption functionOption
```
    - balanceClassesOption
```
FlagOption balanceClassesOption
```
    - streamHeader
```
InstancesHeader streamHeader
```
    - instanceRandom
```
Random instanceRandom
```
    - nextClassShouldBeZero
```
boolean nextClassShouldBeZero
```
- Class moa.streams.generators.TextGenerator extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  3028905554604259131L
  - Serialized Fields
    - numAttsOption
```
IntOption numAttsOption
```
    - instanceRandomSeedOption
```
IntOption instanceRandomSeedOption
```
    - streamHeader
```
InstancesHeader streamHeader
```
    - instanceRandom
```
Random instanceRandom
```
    - wordTwitterGenerator
```
int[] wordTwitterGenerator
```
    - freqTwitterGenerator
```
double[] freqTwitterGenerator
```
    - sumFreqTwitterGenerator
```
double[] sumFreqTwitterGenerator
```
    - classTwitterGenerator
```
int[] classTwitterGenerator
```
    - sizeTable
```
int sizeTable
```
    - probPositive
```
double probPositive
```
    - probNegative
```
double probNegative
```
    - zipfExponent
```
double zipfExponent
```
    - lengthTweet
```
double lengthTweet
```
    - countTweets
```
int countTweets
```
- Class moa.streams.generators.WaveformGenerator extends AbstractOptionHandler implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - instanceRandomSeedOption
```
IntOption instanceRandomSeedOption
```
    - addNoiseOption
```
FlagOption addNoiseOption
```
    - streamHeader
```
InstancesHeader streamHeader
```
    - instanceRandom
```
Random instanceRandom
```
- Class moa.streams.generators.WaveformGeneratorDrift extends WaveformGenerator implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - numberAttributesDriftOption
```
IntOption numberAttributesDriftOption
```
    - numberAttribute
```
int[] numberAttribute
```
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
    - clusterEvents
```
ArrayList<E> clusterEvents
```
    - instanceRandomSeedOption
```
IntOption instanceRandomSeedOption
```
    - notBinaryStreamOption
```
FlagOption notBinaryStreamOption
```
    - numInstancesConceptOption
```
IntOption numInstancesConceptOption
```
    - streamHeader
```
InstancesHeader streamHeader
```
    - instanceRandom
```
Random instanceRandom
```
    - period
```
int period
```
    - numInstances
```
int numInstances
```
    - change
```
boolean change
```
- 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
```
    - metaRandomSeedOption
```
IntOption metaRandomSeedOption
```
    - numLabelsOption
```
IntOption numLabelsOption
```
    - skewOption
```
IntOption skewOption
```
    - labelCardinalityOption
```
FloatOption labelCardinalityOption
```
    - labelCardinalityVarOption
```
FloatOption labelCardinalityVarOption
```
    - labelCardinalityRatioOption
```
FloatOption labelCardinalityRatioOption
```
    - labelDependencyChangeRatioOption
```
FloatOption labelDependencyChangeRatioOption
```
    - m_MultilabelInstancesHeader
```
MultilabelInstancesHeader m_MultilabelInstancesHeader
```
    - m_BinaryGenerator
```
InstanceStream m_BinaryGenerator
```
    - multilabelStreamTemplate
```
Instances multilabelStreamTemplate
```
    - m_MetaRandom
```
Random m_MetaRandom
```
    - m_L
```
int m_L
```
    - m_A
```
int m_A
```
    - priors
```
double[] priors
```
    - priors_norm
```
double[] priors_norm
```
    - Conditional
```
double[][] Conditional
```
    - m_TopCombinations
```
HashSet<E>[] m_TopCombinations
```
    - queue
```
LinkedList<E>[] queue
```
      GetNextWithBinary. Get the next instance with binary class i
- 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
```
ArrayList<E> events
```
- Class moa.tasks.CacheShuffledStream extends AbstractTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - streamOption
```
ClassOption streamOption
```
    - maximumCacheSizeOption
```
IntOption maximumCacheSizeOption
```
    - shuffleRandomSeedOption
```
IntOption shuffleRandomSeedOption
```
- Class moa.tasks.ClassificationMainTask extends MainTask implements Serializable
  - Serialized Fields
    - events
```
ArrayList<E> events
```
- Class moa.tasks.ConceptDriftMainTask extends MainTask implements Serializable
  - Serialized Fields
    - events
```
ArrayList<E> events
```
- Class moa.tasks.EvaluateClustering extends AuxiliarMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learnerOption
```
ClassOption learnerOption
```
    - streamOption
```
ClassOption streamOption
```
    - instanceLimitOption
```
IntOption instanceLimitOption
```
    - generalEvalOption
```
FlagOption generalEvalOption
```
    - f1Option
```
FlagOption f1Option
```
    - entropyOption
```
FlagOption entropyOption
```
    - cmmOption
```
FlagOption cmmOption
```
    - ssqOption
```
FlagOption ssqOption
```
    - separationOption
```
FlagOption separationOption
```
    - silhouetteOption
```
FlagOption silhouetteOption
```
    - statisticalOption
```
FlagOption statisticalOption
```
    - dumpFileOption
```
FileOption dumpFileOption
```
- Class moa.tasks.EvaluateConceptDrift extends ConceptDriftMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learnerOption
```
ClassOption learnerOption
```
    - streamOption
```
ClassOption streamOption
```
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - instanceLimitOption
```
IntOption instanceLimitOption
```
    - timeLimitOption
```
IntOption timeLimitOption
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - dumpFileOption
```
FileOption dumpFileOption
```
- Class moa.tasks.EvaluateInterleavedChunks extends ClassificationMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learnerOption
```
ClassOption learnerOption
```
      Allows to select the trained classifier.
    - streamOption
```
ClassOption streamOption
```
      Allows to select the stream the classifier will learn.
    - 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).
    - chunkSizeOption
```
IntOption chunkSizeOption
```
      Allow to define the training/testing chunk size.
    - timeLimitOption
```
IntOption timeLimitOption
```
      Allows to define the maximum number of seconds to test/train for (-1 = no limit).
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
      Defines how often classifier parameters will be calculated.
    - maxMemoryOption
```
IntOption maxMemoryOption
```
      Allows to define the memory limit for the created model.
    - memCheckFrequencyOption
```
IntOption memCheckFrequencyOption
```
      Allows to define the frequency of memory checks.
    - dumpFileOption
```
FileOption dumpFileOption
```
      Allows to define the output file name and location.
- Class moa.tasks.EvaluateInterleavedTestThenTrain extends ClassificationMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learnerOption
```
ClassOption learnerOption
```
    - streamOption
```
ClassOption streamOption
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - instanceLimitOption
```
IntOption instanceLimitOption
```
    - timeLimitOption
```
IntOption timeLimitOption
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - memCheckFrequencyOption
```
IntOption memCheckFrequencyOption
```
    - dumpFileOption
```
FileOption dumpFileOption
```
- Class moa.tasks.EvaluateModel extends ClassificationMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - modelOption
```
ClassOption modelOption
```
    - streamOption
```
ClassOption streamOption
```
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - maxInstancesOption
```
IntOption maxInstancesOption
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - outputPredictionFileOption
```
FileOption outputPredictionFileOption
```
- Class moa.tasks.EvaluateModelMultiLabel extends MultiLabelMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - modelOption
```
ClassOption modelOption
```
    - streamOption
```
ClassOption streamOption
```
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - maxInstancesOption
```
IntOption maxInstancesOption
```
    - outputPredictionFileOption
```
FileOption outputPredictionFileOption
```
- Class moa.tasks.EvaluateModelMultiTarget extends MultiTargetMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - modelOption
```
ClassOption modelOption
```
    - streamOption
```
ClassOption streamOption
```
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - maxInstancesOption
```
IntOption maxInstancesOption
```
    - outputPredictionFileOption
```
FileOption outputPredictionFileOption
```
- Class moa.tasks.EvaluateModelRegression extends RegressionMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - modelOption
```
ClassOption modelOption
```
    - streamOption
```
ClassOption streamOption
```
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - maxInstancesOption
```
IntOption maxInstancesOption
```
    - outputPredictionFileOption
```
FileOption outputPredictionFileOption
```
- Class moa.tasks.EvaluateMultipleClusterings extends AuxiliarMainTask implements Serializable
  
  serialVersionUID:
  
  4846907962483608940L
  - Serialized Fields
    - defaultfile
```
String defaultfile
```
    - learnerOption
```
ClassOption learnerOption
```
    - streamOption
```
ClassOption streamOption
```
    - numStreamsOption
```
IntOption numStreamsOption
```
    - generalEvalOption
```
FlagOption generalEvalOption
```
    - f1Option
```
FlagOption f1Option
```
    - entropyOption
```
FlagOption entropyOption
```
    - cmmOption
```
FlagOption cmmOption
```
    - ssqOption
```
FlagOption ssqOption
```
    - separationOption
```
FlagOption separationOption
```
    - silhouetteOption
```
FlagOption silhouetteOption
```
    - statisticalOption
```
FlagOption statisticalOption
```
    - dumpFileOption
```
FileOption dumpFileOption
```
    - 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
    - learnerOption
```
ClassOption learnerOption
```
    - streamOption
```
ClassOption streamOption
```
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - testSizeOption
```
IntOption testSizeOption
```
    - trainSizeOption
```
IntOption trainSizeOption
```
    - trainTimeOption
```
IntOption trainTimeOption
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - dumpFileOption
```
FileOption dumpFileOption
```
    - cacheTestOption
```
FlagOption cacheTestOption
```
- Class moa.tasks.EvaluatePrequential extends ClassificationMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learnerOption
```
ClassOption learnerOption
```
    - streamOption
```
ClassOption streamOption
```
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - instanceLimitOption
```
IntOption instanceLimitOption
```
    - timeLimitOption
```
IntOption timeLimitOption
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - memCheckFrequencyOption
```
IntOption memCheckFrequencyOption
```
    - dumpFileOption
```
FileOption dumpFileOption
```
    - outputPredictionFileOption
```
FileOption outputPredictionFileOption
```
    - widthOption
```
IntOption widthOption
```
    - alphaOption
```
FloatOption alphaOption
```
- Class moa.tasks.EvaluatePrequentialCV extends ClassificationMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learnerOption
```
ClassOption learnerOption
```
    - streamOption
```
ClassOption streamOption
```
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - instanceLimitOption
```
IntOption instanceLimitOption
```
    - timeLimitOption
```
IntOption timeLimitOption
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - memCheckFrequencyOption
```
IntOption memCheckFrequencyOption
```
    - dumpFileOption
```
FileOption dumpFileOption
```
    - numFoldsOption
```
IntOption numFoldsOption
```
    - validationMethodologyOption
```
MultiChoiceOption validationMethodologyOption
```
    - randomSeedOption
```
IntOption randomSeedOption
```
- Class moa.tasks.EvaluatePrequentialDelayed extends ClassificationMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learnerOption
```
ClassOption learnerOption
```
    - streamOption
```
ClassOption streamOption
```
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - delayLengthOption
```
IntOption delayLengthOption
```
    - initialWindowSizeOption
```
IntOption initialWindowSizeOption
```
    - trainOnInitialWindowOption
```
FlagOption trainOnInitialWindowOption
```
    - trainInBatches
```
FlagOption trainInBatches
```
    - instanceLimitOption
```
IntOption instanceLimitOption
```
    - timeLimitOption
```
IntOption timeLimitOption
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - memCheckFrequencyOption
```
IntOption memCheckFrequencyOption
```
    - dumpFileOption
```
FileOption dumpFileOption
```
    - outputPredictionFileOption
```
FileOption outputPredictionFileOption
```
    - widthOption
```
IntOption widthOption
```
    - alphaOption
```
FloatOption alphaOption
```
    - trainInstances
```
LinkedList<E> trainInstances
```
- Class moa.tasks.EvaluatePrequentialDelayedCV extends ClassificationMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learnerOption
```
ClassOption learnerOption
```
    - streamOption
```
ClassOption streamOption
```
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - delayLengthOption
```
IntOption delayLengthOption
```
    - instanceLimitOption
```
IntOption instanceLimitOption
```
    - timeLimitOption
```
IntOption timeLimitOption
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - memCheckFrequencyOption
```
IntOption memCheckFrequencyOption
```
    - dumpFileOption
```
FileOption dumpFileOption
```
    - numFoldsOption
```
IntOption numFoldsOption
```
    - validationMethodologyOption
```
MultiChoiceOption validationMethodologyOption
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - trainInstances
```
LinkedList<E> trainInstances
```
- Class moa.tasks.EvaluatePrequentialMultiLabel extends MultiLabelMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learnerOption
```
ClassOption learnerOption
```
    - streamOption
```
ClassOption streamOption
```
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - instanceLimitOption
```
IntOption instanceLimitOption
```
    - timeLimitOption
```
IntOption timeLimitOption
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - memCheckFrequencyOption
```
IntOption memCheckFrequencyOption
```
    - dumpFileOption
```
FileOption dumpFileOption
```
    - outputPredictionFileOption
```
FileOption outputPredictionFileOption
```
    - widthOption
```
IntOption widthOption
```
    - alphaOption
```
FloatOption alphaOption
```
- Class moa.tasks.EvaluatePrequentialMultiTarget extends MultiTargetMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learnerOption
```
ClassOption learnerOption
```
    - streamOption
```
ClassOption streamOption
```
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - instanceLimitOption
```
IntOption instanceLimitOption
```
    - timeLimitOption
```
IntOption timeLimitOption
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - memCheckFrequencyOption
```
IntOption memCheckFrequencyOption
```
    - dumpFileOption
```
FileOption dumpFileOption
```
    - outputPredictionFileOption
```
FileOption outputPredictionFileOption
```
    - widthOption
```
IntOption widthOption
```
    - alphaOption
```
FloatOption alphaOption
```
- Class moa.tasks.EvaluatePrequentialMultiTargetSemiSuper extends MultiTargetMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learnerOption
```
ClassOption learnerOption
```
    - streamOption
```
ClassOption streamOption
```
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - instanceLimitOption
```
IntOption instanceLimitOption
```
    - timeLimitOption
```
IntOption timeLimitOption
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - memCheckFrequencyOption
```
IntOption memCheckFrequencyOption
```
    - dumpFileOption
```
FileOption dumpFileOption
```
    - outputPredictionFileOption
```
FileOption outputPredictionFileOption
```
    - widthOption
```
IntOption widthOption
```
    - alphaOption
```
FloatOption alphaOption
```
    - unlabeledPercentage
```
FloatOption unlabeledPercentage
```
    - dbInitialModelPercentage
```
FloatOption dbInitialModelPercentage
```
    - runSeed
```
IntOption runSeed
```
    - slidingWindowSize
```
IntOption slidingWindowSize
```
    - slidingWindowStep
```
IntOption slidingWindowStep
```
- Class moa.tasks.EvaluatePrequentialRegression extends RegressionMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learnerOption
```
ClassOption learnerOption
```
    - streamOption
```
ClassOption streamOption
```
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - instanceLimitOption
```
IntOption instanceLimitOption
```
    - timeLimitOption
```
IntOption timeLimitOption
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - memCheckFrequencyOption
```
IntOption memCheckFrequencyOption
```
    - dumpFileOption
```
FileOption dumpFileOption
```
    - outputPredictionFileOption
```
FileOption outputPredictionFileOption
```
    - widthOption
```
IntOption widthOption
```
    - alphaOption
```
FloatOption alphaOption
```
- Class moa.tasks.FailedTaskReport extends AbstractMOAObject implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - failureReason
```
Throwable failureReason
```
- Class moa.tasks.LearnModel extends ClassificationMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learnerOption
```
ClassOption learnerOption
```
    - streamOption
```
ClassOption streamOption
```
    - maxInstancesOption
```
IntOption maxInstancesOption
```
    - numPassesOption
```
IntOption numPassesOption
```
    - memCheckFrequencyOption
```
IntOption memCheckFrequencyOption
```
- Class moa.tasks.LearnModelMultiLabel extends MultiLabelMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learnerOption
```
ClassOption learnerOption
```
    - streamOption
```
ClassOption streamOption
```
    - maxInstancesOption
```
IntOption maxInstancesOption
```
    - numPassesOption
```
IntOption numPassesOption
```
    - memCheckFrequencyOption
```
IntOption memCheckFrequencyOption
```
- Class moa.tasks.LearnModelMultiTarget extends MultiTargetMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learnerOption
```
ClassOption learnerOption
```
    - streamOption
```
ClassOption streamOption
```
    - maxInstancesOption
```
IntOption maxInstancesOption
```
    - numPassesOption
```
IntOption numPassesOption
```
    - memCheckFrequencyOption
```
IntOption memCheckFrequencyOption
```
- Class moa.tasks.LearnModelRegression extends RegressionMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learnerOption
```
ClassOption learnerOption
```
    - streamOption
```
ClassOption streamOption
```
    - maxInstancesOption
```
IntOption maxInstancesOption
```
    - numPassesOption
```
IntOption numPassesOption
```
    - memCheckFrequencyOption
```
IntOption memCheckFrequencyOption
```
- 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
    - streamOption
```
ClassOption streamOption
```
    - generateSizeOption
```
IntOption generateSizeOption
```
- Class moa.tasks.MultiLabelMainTask extends MainTask implements Serializable
  - Serialized Fields
    - events
```
ArrayList<E> events
```
- Class moa.tasks.MultiTargetMainTask extends MainTask implements Serializable
  - Serialized Fields
    - events
```
ArrayList<E> events
```
- Class moa.tasks.Plot extends MainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - gnuplotPathOption
```
StringOption gnuplotPathOption
```
      Path to gunplot's binary directory, for example C:\Tools\Gnuplot\binary.
    - plotOutputOption
```
FileOption plotOutputOption
```
      FileOption for selecting the plot output file.
    - 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).
    - 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.
    - outputTypeOption
```
MultiChoiceOption outputTypeOption
```
      Gnuplot terminal - postscript, png, pdf etc.
    - plotStyleOption
```
MultiChoiceOption plotStyleOption
```
      Type of plot - dots, points, lines ets.
    - 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.
    - lineWidthOption
```
IntOption lineWidthOption
```
      Plotted line width.
    - pointIntervalOption
```
IntOption pointIntervalOption
```
      Interval between plotted data points.
    - smoothOption
```
FlagOption smoothOption
```
      Determines whether to smooth the plot with bezier curves.
    - deleteScriptsOption
```
FlagOption deleteScriptsOption
```
      Determines whether to delete gnuplot scripts after plotting.
    - legendLocationOption
```
MultiChoiceOption legendLocationOption
```
      Legend (key) location on the plot.
    - legendTypeOption
```
MultiChoiceOption legendTypeOption
```
      Legend elements' alignment.
    - 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.
    - 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.
- Class moa.tasks.RegressionMainTask extends MainTask implements Serializable
  - Serialized Fields
    - events
```
ArrayList<E> events
```
- Class moa.tasks.RunStreamTasks extends ConceptDriftMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - taskOption
```
ClassOption taskOption
```
    - streamParameterOption
```
StringOption streamParameterOption
```
    - firstValueOption
```
FloatOption firstValueOption
```
    - lastValueOption
```
FloatOption lastValueOption
```
    - incrementValueOption
```
FloatOption incrementValueOption
```
    - task
```
Task task
```
- Class moa.tasks.RunTasks extends AuxiliarMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - taskOption
```
ClassOption taskOption
```
    - classifierParameterOption
```
StringOption classifierParameterOption
```
    - firstValueOption
```
FloatOption firstValueOption
```
    - lastValueOption
```
FloatOption lastValueOption
```
    - incrementValueOption
```
FloatOption incrementValueOption
```
    - task
```
Task task
```
- Class moa.tasks.WriteMultipleStreamsToARFF extends AuxiliarMainTask implements Serializable
  
  serialVersionUID:
  
  4687495597494400174L
  - Serialized Fields
    - streamOption
```
ClassOption streamOption
```
    - arffFileOption
```
FileOption arffFileOption
```
    - maxInstancesOption
```
IntOption maxInstancesOption
```
    - suppressHeaderOption
```
FlagOption suppressHeaderOption
```
    - numStreamsOption
```
IntOption numStreamsOption
```
    - randomFlagOne
```
FlagOption randomFlagOne
```
    - randomOneOption
```
StringOption randomOneOption
```
    - randomFlagTwo
```
FlagOption randomFlagTwo
```
    - randomTwoOption
```
StringOption randomTwoOption
```
    - stream
```
InstanceStream stream
```
- Class moa.tasks.WriteStreamToARFFFile extends AuxiliarMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - streamOption
```
ClassOption streamOption
```
    - arffFileOption
```
FileOption arffFileOption
```
    - maxInstancesOption
```
IntOption maxInstancesOption
```
    - 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
    - prequentialEvaluationTaskOption
```
ClassOptionWithListenerOption prequentialEvaluationTaskOption
```
    - variedParamNameOption
```
EditableMultiChoiceOption variedParamNameOption
```
    - variedParamValuesOption
```
ListOption variedParamValuesOption
```
    - subtasks
```
ArrayList<E> subtasks
```
    - subtaskThreads
```
ArrayList<E> subtaskThreads
```
    - flattenedSubtaskThreads
```
ArrayList<E> flattenedSubtaskThreads
```
    - subTaskColorCoding
```
Color[] subTaskColorCoding
```
    - partitionIdx
```
int partitionIdx
```
- Class moa.tasks.meta.ALPartitionEvaluationTask extends ALMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - multiParamTaskOption
```
ClassOption multiParamTaskOption
```
    - numPartitionsOption
```
IntOption numPartitionsOption
```
    - randomSeedOption
```
IntOption randomSeedOption
```
    - subtaskThreads
```
ArrayList<E> subtaskThreads
```
    - flattenedSubtaskThreads
```
ArrayList<E> flattenedSubtaskThreads
```
- Class moa.tasks.meta.ALPrequentialEvaluationTask extends ALMainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - learnerOption
```
ClassOption learnerOption
```
    - streamOption
```
ClassOption streamOption
```
    - evaluatorOption
```
ClassOption evaluatorOption
```
    - instanceLimitOption
```
IntOption instanceLimitOption
```
    - timeLimitOption
```
IntOption timeLimitOption
```
    - sampleFrequencyOption
```
IntOption sampleFrequencyOption
```
    - dumpFileOption
```
FileOption dumpFileOption
```
- Class moa.tasks.meta.MetaMainTask extends MainTask implements Serializable
  
  serialVersionUID:
  
  1L
  - Serialized Fields
    - isLastSubtaskOnLevel
```
boolean[] isLastSubtaskOnLevel
```
    - nameSuffix
```
String nameSuffix
```
    - colorCoding
```
Color colorCoding
```
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_NumIterationsPerformed
```
int m_NumIterationsPerformed
```
    - m_WeightThreshold
```
int m_WeightThreshold
```
    - m_UseResampling
```
boolean m_UseResampling
```
    - m_NumClasses
```
int m_NumClasses
```
    - m_ZeroR
```
weka.classifiers.Classifier m_ZeroR
```
    - m_TrainingData
```
weka.core.Instances m_TrainingData
```
    - m_RandomInstance
```
Random m_RandomInstance
```
- Class weka.classifiers.meta.AdditiveRegression extends weka.classifiers.IteratedSingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  -2368937577670527151L
  - Serialized Fields
    - m_Classifiers
```
ArrayList<E> m_Classifiers
```
    - m_shrinkage
```
double m_shrinkage
```
    - m_InitialPrediction
```
double m_InitialPrediction
```
    - m_SuitableData
```
boolean m_SuitableData
```
    - m_Data
```
weka.core.Instances m_Data
```
    - m_Error
```
double m_Error
```
    - m_Diff
```
double m_Diff
```
    - m_MinimizeAbsoluteError
```
boolean m_MinimizeAbsoluteError
```
- 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_Search
```
weka.attributeSelection.ASSearch m_Search
```
    - m_ReducedHeader
```
weka.core.Instances m_ReducedHeader
```
    - m_numClasses
```
int m_numClasses
```
    - m_numAttributesSelected
```
double m_numAttributesSelected
```
    - 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_RepresentUsingWeights
```
boolean m_RepresentUsingWeights
```
    - m_OutOfBagEvaluationObject
```
weka.classifiers.evaluation.Evaluation m_OutOfBagEvaluationObject
```
    - m_StoreOutOfBagPredictions
```
boolean m_StoreOutOfBagPredictions
```
    - m_OutputOutOfBagComplexityStatistics
```
boolean m_OutputOutOfBagComplexityStatistics
```
    - m_Numeric
```
boolean m_Numeric
```
    - m_printClassifiers
```
boolean m_printClassifiers
```
    - m_random
```
Random m_random
```
    - m_inBag
```
boolean[][] m_inBag
```
    - m_data
```
weka.core.Instances m_data
```
    - m_classifiersCache
```
List<E> m_classifiersCache
```
- Class weka.classifiers.meta.ClassificationViaRegression extends weka.classifiers.SingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  4500023123618669859L
  - Serialized Fields
    - m_Classifiers
```
weka.classifiers.Classifier[] m_Classifiers
```
    - m_ClassFilters
```
weka.filters.unsupervised.attribute.MakeIndicator[] m_ClassFilters
```
- Class weka.classifiers.meta.CostSensitiveClassifier extends weka.classifiers.RandomizableSingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  -110658209263002404L
  - Serialized Fields
    - m_MatrixSource
```
int m_MatrixSource
```
    - m_OnDemandDirectory
```
File m_OnDemandDirectory
```
    - m_CostFile
```
String m_CostFile
```
    - m_CostMatrix
```
weka.classifiers.CostMatrix m_CostMatrix
```
    - m_MinimizeExpectedCost
```
boolean m_MinimizeExpectedCost
```
- Class weka.classifiers.meta.CVParameterSelection extends weka.classifiers.RandomizableSingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  -6529603380876641265L
  - Serialized Fields
    - m_ClassifierOptions
```
String[] m_ClassifierOptions
```
    - m_BestClassifierOptions
```
String[] m_BestClassifierOptions
```
    - m_InitOptions
```
String[] m_InitOptions
```
    - m_BestPerformance
```
double m_BestPerformance
```
    - m_CVParams
```
Vector<E> m_CVParams
```
    - m_NumAttributes
```
int m_NumAttributes
```
    - m_TrainFoldSize
```
int m_TrainFoldSize
```
    - m_NumFolds
```
int m_NumFolds
```
- Class weka.classifiers.meta.CVParameterSelection.CVParameter extends Object implements Serializable
  
  serialVersionUID:
  
  -4668812017709421953L
  - Serialized Fields
    - m_ParamChar
```
String m_ParamChar
```
    - m_Lower
```
double m_Lower
```
    - m_Upper
```
double m_Upper
```
    - m_Steps
```
double m_Steps
```
    - m_ParamValue
```
double m_ParamValue
```
    - m_AddAtEnd
```
boolean m_AddAtEnd
```
    - m_RoundParam
```
boolean m_RoundParam
```
- Class weka.classifiers.meta.FilteredClassifier extends weka.classifiers.RandomizableSingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  -4523450618538717400L
  - Serialized Fields
    - m_Filter
```
weka.filters.Filter m_Filter
```
    - m_FilteredInstances
```
weka.core.Instances m_FilteredInstances
```
    - m_DoNotCheckForModifiedClassAttribute
```
boolean m_DoNotCheckForModifiedClassAttribute
```
    - m_ReorderOriginal
```
weka.filters.unsupervised.attribute.Reorder m_ReorderOriginal
```
    - m_ReorderFiltered
```
weka.filters.unsupervised.attribute.Reorder m_ReorderFiltered
```
- Class weka.classifiers.meta.IterativeClassifierOptimizer extends weka.classifiers.RandomizableClassifier implements Serializable
  
  serialVersionUID:
  
  -3665485256313525864L
  - Serialized Fields
    - m_IterativeClassifier
```
weka.classifiers.IterativeClassifier m_IterativeClassifier
```
    - m_NumFolds
```
int m_NumFolds
```
    - m_NumRuns
```
int m_NumRuns
```
    - m_StepSize
```
int m_StepSize
```
    - m_UseAverage
```
boolean m_UseAverage
```
    - m_lookAheadIterations
```
int m_lookAheadIterations
```
    - m_evalMetric
```
String m_evalMetric
```
    - m_classValueIndex
```
int m_classValueIndex
```
    - m_thresholds
```
double[] m_thresholds
```
    - m_bestResult
```
double m_bestResult
```
    - m_bestNumIts
```
int m_bestNumIts
```
    - m_numThreads
```
int m_numThreads
```
    - m_poolSize
```
int m_poolSize
```
    - m_splitPercentage
```
double m_splitPercentage
```
    - m_preserveOrderInPercentageSplitEvaluation
```
boolean m_preserveOrderInPercentageSplitEvaluation
```
- Class weka.classifiers.meta.LogitBoost extends weka.classifiers.RandomizableIteratedSingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  -1105660358715833753L
  - Serialized Fields
    - m_Classifiers
```
ArrayList<E> m_Classifiers
```
    - m_NumClasses
```
int m_NumClasses
```
    - m_NumGenerated
```
int m_NumGenerated
```
    - m_WeightThreshold
```
int m_WeightThreshold
```
    - m_NumericClassData
```
weka.core.Instances m_NumericClassData
```
    - m_ClassAttribute
```
weka.core.Attribute m_ClassAttribute
```
    - m_UseResampling
```
boolean m_UseResampling
```
    - m_Precision
```
double m_Precision
```
    - m_Shrinkage
```
double m_Shrinkage
```
    - m_UseEstimatedPriors
```
boolean m_UseEstimatedPriors
```
    - m_RandomInstance
```
Random m_RandomInstance
```
    - m_Offset
```
double m_Offset
```
    - m_ZeroR
```
weka.classifiers.Classifier m_ZeroR
```
    - m_InitialFs
```
double[] m_InitialFs
```
    - m_zMax
```
double m_zMax
```
    - m_trainYs
```
double[][] m_trainYs
```
    - m_trainFs
```
double[][] m_trainFs
```
    - m_probs
```
double[][] m_probs
```
    - m_logLikelihood
```
double m_logLikelihood
```
    - m_sumOfWeights
```
double m_sumOfWeights
```
    - m_data
```
weka.core.Instances m_data
```
    - m_numThreads
```
int m_numThreads
```
    - m_poolSize
```
int m_poolSize
```
- Class weka.classifiers.meta.MOA extends weka.classifiers.AbstractClassifier implements Serializable
  
  serialVersionUID:
  
  2605797948130310166L
  - Serialized Fields
    - 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).
    - instanceConverter
```
WekaToSamoaInstanceConverter instanceConverter
```
- Class weka.classifiers.meta.MultiClassClassifier extends weka.classifiers.RandomizableSingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  -3879602011542849141L
  - Serialized Fields
    - m_Classifiers
```
weka.classifiers.Classifier[] m_Classifiers
```
    - m_pairwiseCoupling
```
boolean m_pairwiseCoupling
```
    - m_SumOfWeights
```
double[] m_SumOfWeights
```
    - m_ClassFilters
```
weka.filters.Filter[] m_ClassFilters
```
    - m_ZeroR
```
weka.classifiers.rules.ZeroR m_ZeroR
```
    - m_ClassAttribute
```
weka.core.Attribute m_ClassAttribute
```
    - m_TwoClassDataset
```
weka.core.Instances m_TwoClassDataset
```
    - m_RandomWidthFactor
```
double m_RandomWidthFactor
```
    - m_logLossDecoding
```
boolean m_logLossDecoding
```
    - m_Method
```
int m_Method
```
- 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_BestClassifier
```
weka.classifiers.meta.multisearch.AbstractSearch.SearchResult m_BestClassifier
```
    - 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> m_Factory
```
    - m_Metrics
```
weka.classifiers.meta.multisearch.AbstractEvaluationMetrics m_Metrics
```
    - m_Evaluation
```
int m_Evaluation
```
    - m_ClassLabel
```
weka.core.SingleIndex m_ClassLabel
```
    - m_LogFile
```
File m_LogFile
```
    - m_DefaultParameters
```
weka.core.setupgenerator.AbstractParameter[] m_DefaultParameters
```
    - m_Parameters
```
weka.core.setupgenerator.AbstractParameter[] m_Parameters
```
    - m_Algorithm
```
weka.classifiers.meta.multisearch.AbstractSearch m_Algorithm
```
    - m_Generator
```
weka.core.SetupGenerator m_Generator
```
    - m_Trace
```
List<E> 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_SubSpaceSize
```
double m_SubSpaceSize
```
    - m_ZeroR
```
weka.classifiers.Classifier m_ZeroR
```
    - m_data
```
weka.core.Instances m_data
```
- Class weka.classifiers.meta.RegressionByDiscretization extends weka.classifiers.SingleClassifierEnhancer implements Serializable
  
  serialVersionUID:
  
  5066426153134050378L
  - Serialized Fields
    - m_Discretizer
```
weka.filters.unsupervised.attribute.Discretize m_Discretizer
```
    - m_NumBins
```
int m_NumBins
```
    - m_ClassMeans
```
double[] m_ClassMeans
```
    - m_ClassCounts
```
int[] m_ClassCounts
```
    - m_DeleteEmptyBins
```
boolean m_DeleteEmptyBins
```
    - m_OldIndexToNewIndex
```
int[] m_OldIndexToNewIndex
```
    - m_DiscretizedHeader
```
weka.core.Instances m_DiscretizedHeader
```
    - m_UseEqualFrequency
```
boolean m_UseEqualFrequency
```
    - m_MinimizeAbsoluteError
```
boolean m_MinimizeAbsoluteError
```
    - m_Estimator
```
weka.estimators.UnivariateDensityEstimator m_Estimator
```
    - m_OriginalTargetValues
```
double[] m_OriginalTargetValues
```
    - m_NewTargetValues
```
int[] m_NewTargetValues
```
- Class weka.classifiers.meta.Stacking extends weka.classifiers.RandomizableParallelMultipleClassifiersCombiner implements Serializable
  
  serialVersionUID:
  
  5134738557155845452L
  - Serialized Fields
    - m_MetaClassifier
```
weka.classifiers.Classifier m_MetaClassifier
```
    - m_MetaFormat
```
weka.core.Instances m_MetaFormat
```
    - m_BaseFormat
```
weka.core.Instances m_BaseFormat
```
    - m_NumFolds
```
int m_NumFolds
```
- Class weka.classifiers.meta.Vote extends weka.classifiers.RandomizableMultipleClassifiersCombiner implements Serializable
  
  serialVersionUID:
  
  -637891196294399624L
  - Serialized Fields
    - m_CombinationRule
```
int m_CombinationRule
```
    - m_classifiersToLoad
```
List<E> m_classifiersToLoad
```
    - m_preBuiltClassifiers
```
List<E> m_preBuiltClassifiers
```
    - m_structure
```
weka.core.Instances m_structure
```
    - m_dontPrintModels
```
boolean m_dontPrintModels
```
- 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 Object implements Serializable
  
  serialVersionUID:
  
  1482635194499365155L
  - Serialized Fields
    - m_Dataset
```
weka.core.Instances m_Dataset
```
    - m_AttValues
```
double[] m_AttValues
```
    - m_Weight
```
double m_Weight
```
- Class weka.core.AlgVector extends Object implements Serializable
  
  serialVersionUID:
  
  -4023736016850256591L
  - Serialized Fields
    - m_Elements
```
double[] m_Elements
```
- Class weka.core.Attribute extends Object implements Serializable
  
  serialVersionUID:
  
  -742180568732916383L
  - Serialized Fields
    - m_Name
```
String m_Name
```
    - m_Type
```
int m_Type
```
    - m_AttributeInfo
```
weka.core.AttributeInfo m_AttributeInfo
```
    - m_Index
```
int m_Index
```
    - m_Weight
```
double m_Weight
```
    - m_AttributeMetaInfo
```
weka.core.AttributeMetaInfo m_AttributeMetaInfo
```
- Class weka.core.AttributeLocator extends Object implements Serializable
  
  serialVersionUID:
  
  -2932848827681070345L
  - Serialized Fields
    - m_AllowedIndices
```
int[] m_AllowedIndices
```
    - m_Attributes
```
BitSet m_Attributes
```
    - m_Locators
```
ArrayList<E> m_Locators
```
    - m_Type
```
int m_Type
```
    - m_Data
```
weka.core.Instances m_Data
```
    - m_Indices
```
int[] m_Indices
```
    - m_LocatorIndices
```
int[] m_LocatorIndices
```
- Class weka.core.AttributeMetaInfo extends Object implements Serializable
  - Serialized Fields
    - m_Metadata
```
weka.core.ProtectedProperties m_Metadata
```
    - m_Ordering
```
int m_Ordering
```
    - m_IsRegular
```
boolean m_IsRegular
```
    - m_IsAveragable
```
boolean m_IsAveragable
```
    - m_HasZeropoint
```
boolean m_HasZeropoint
```
    - m_LowerBound
```
double m_LowerBound
```
    - m_LowerBoundIsOpen
```
boolean m_LowerBoundIsOpen
```
    - m_UpperBound
```
double m_UpperBound
```
    - m_UpperBoundIsOpen
```
boolean m_UpperBoundIsOpen
```
- Class weka.core.AttributeStats extends Object implements Serializable
  
  serialVersionUID:
  
  4434688832743939380L
  - Serialized Fields
    - intCount
```
int intCount
```
    - realCount
```
int realCount
```
    - missingCount
```
int missingCount
```
    - distinctCount
```
int distinctCount
```
    - uniqueCount
```
int uniqueCount
```
    - totalCount
```
int totalCount
```
    - numericStats
```
weka.experiment.Stats numericStats
```
    - nominalCounts
```
int[] nominalCounts
```
    - nominalWeights
```
double[] nominalWeights
```
- Class weka.core.BinarySparseInstance extends weka.core.SparseInstance implements Serializable
  
  serialVersionUID:
  
  -5297388762342528737L
- Class weka.core.Capabilities extends Object implements Serializable
  
  serialVersionUID:
  
  -5478590032325567849L
  - Serialized Fields
    - m_Owner
```
weka.core.CapabilitiesHandler m_Owner
```
    - m_Capabilities
```
HashSet<E> m_Capabilities
```
    - m_Dependencies
```
HashSet<E> m_Dependencies
```
    - m_InterfaceDefinedCapabilities
```
HashSet<E> m_InterfaceDefinedCapabilities
```
    - m_FailReason
```
Exception m_FailReason
```
    - m_MinimumNumberInstances
```
int m_MinimumNumberInstances
```
    - m_Test
```
boolean m_Test
```
    - m_InstancesTest
```
boolean m_InstancesTest
```
    - m_AttributeTest
```
boolean m_AttributeTest
```
    - m_MissingValuesTest
```
boolean m_MissingValuesTest
```
    - m_MissingClassValuesTest
```
boolean m_MissingClassValuesTest
```
    - m_MinimumNumberInstancesTest
```
boolean m_MinimumNumberInstancesTest
```
- Class weka.core.ChebyshevDistance extends weka.core.NormalizableDistance implements Serializable
  
  serialVersionUID:
  
  -7739904999895461429L
- Class weka.core.DateAttributeInfo extends Object implements Serializable
  - Serialized Fields
    - m_DateFormat
```
SimpleDateFormat m_DateFormat
```
- Class weka.core.Debug extends Object implements Serializable
  
  serialVersionUID:
  
  66171861743328020L
  - Serialized Fields
    - m_Enabled
```
boolean m_Enabled
```
    - m_Log
```
weka.core.Debug.Log m_Log
```
    - m_Clock
```
weka.core.Debug.Clock m_Clock
```
- Class weka.core.Debug.Clock extends Object implements Serializable
  
  serialVersionUID:
  
  4622161807307942201L
  - Serialized Fields
    - m_OutputFormat
```
int m_OutputFormat
```
    - m_Start
```
long m_Start
```
    - m_Stop
```
long m_Stop
```
    - m_Running
```
boolean m_Running
```
    - m_ThreadID
```
long m_ThreadID
```
    - m_CanMeasureCpuTime
```
boolean m_CanMeasureCpuTime
```
    - m_UseCpuTime
```
boolean m_UseCpuTime
```
- Class weka.core.Debug.DBO extends Object implements Serializable
  
  serialVersionUID:
  
  -5245628124742606784L
  - Serialized Fields
    - m_verboseOn
```
boolean m_verboseOn
```
    - m_outputTypes
```
weka.core.Range m_outputTypes
```
- Class weka.core.Debug.Log extends Object implements Serializable
  
  serialVersionUID:
  
  1458435732111675823L
  - Serialized Fields
    - m_Filename
```
String m_Filename
```
    - m_Size
```
int m_Size
```
    - m_NumFiles
```
int m_NumFiles
```
    - m_LoggerInitFailed
```
boolean m_LoggerInitFailed
```
- Class weka.core.Debug.Random extends 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 Object implements Serializable
  
  serialVersionUID:
  
  -2671928223819510830L
  - Serialized Fields
    - m_Filename
```
String m_Filename
```
- Class weka.core.Debug.Timestamp extends Object implements Serializable
  
  serialVersionUID:
  
  -6099868388466922753L
  - Serialized Fields
    - m_Stamp
```
Date m_Stamp
```
    - m_Format
```
String m_Format
```
    - m_Formatter
```
SimpleDateFormat m_Formatter
```
- Class weka.core.Defaults extends Object implements Serializable
  
  serialVersionUID:
  
  1061521489520308096L
  - Serialized Fields
    - m_defaultsID
```
String m_defaultsID
```
    - m_defaults
```
Map<K,V> m_defaults
```
- Class weka.core.DenseInstance extends weka.core.AbstractInstance implements Serializable
  
  serialVersionUID:
  
  1482635194499365122L
- Class weka.core.DictionaryBuilder extends Object implements Serializable
  
  serialVersionUID:
  
  5579506627960356012L
  - Serialized Fields
    - m_inputFormat
```
weka.core.Instances m_inputFormat
```
    - m_outputFormat
```
weka.core.Instances m_outputFormat
```
    - m_dictsPerClass
```
Map<K,V>[] m_dictsPerClass
```
    - m_consolidatedDict
```
Map<K,V> m_consolidatedDict
```
    - m_doNotOperateOnPerClassBasis
```
boolean m_doNotOperateOnPerClassBasis
```
    - m_outputCounts
```
boolean m_outputCounts
```
    - m_lowerCaseTokens
```
boolean m_lowerCaseTokens
```
    - m_stemmer
```
weka.core.stemmers.Stemmer m_stemmer
```
    - m_stopwordsHandler
```
weka.core.stopwords.StopwordsHandler m_stopwordsHandler
```
    - m_wordsToKeep
```
int m_wordsToKeep
```
    - m_periodicPruneRate
```
long m_periodicPruneRate
```
    - m_minFrequency
```
int m_minFrequency
```
    - m_count
```
int m_count
```
    - m_tokenizer
```
weka.core.tokenizers.Tokenizer m_tokenizer
```
    - m_selectedRange
```
weka.core.Range m_selectedRange
```
    - m_classIndex
```
int m_classIndex
```
    - m_numClasses
```
int m_numClasses
```
    - m_Prefix
```
String m_Prefix
```
    - m_TFTransform
```
boolean m_TFTransform
```
    - m_IDFTransform
```
boolean m_IDFTransform
```
    - m_normalize
```
boolean m_normalize
```
    - m_docLengthSum
```
double m_docLengthSum
```
    - m_avgDocLength
```
double m_avgDocLength
```
    - m_sortDictionary
```
boolean m_sortDictionary
```
    - m_inputContainsStringAttributes
```
boolean m_inputContainsStringAttributes
```
- Class weka.core.EnvironmentProperties extends Properties implements Serializable
- Class weka.core.EuclideanDistance extends weka.core.NormalizableDistance implements Serializable
  
  serialVersionUID:
  
  1068606253458807903L
- Class weka.core.FastVector extends ArrayList<E> implements Serializable
  
  serialVersionUID:
  
  -2173635135622930169L
- Class weka.core.FilteredDistance extends 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 Object implements Serializable
  
  serialVersionUID:
  
  -6589278678230949683L
  - Serialized Fields
    - m_IncludeClass
```
boolean m_IncludeClass
```
    - m_Range
```
weka.core.Range m_Range
```
- Class weka.core.Instances extends AbstractList<weka.core.Instance> implements Serializable
  
  serialVersionUID:
  
  -19412345060742748L
  - Serialized Fields
    - m_RelationName
```
String m_RelationName
```
    - m_Attributes
```
ArrayList<E> m_Attributes
```
    - m_NamesToAttributeIndices
```
HashMap<K,V> m_NamesToAttributeIndices
```
    - m_Instances
```
ArrayList<E> m_Instances
```
    - m_ClassIndex
```
int m_ClassIndex
```
    - m_Lines
```
int m_Lines
```
- Class weka.core.ManhattanDistance extends weka.core.NormalizableDistance implements Serializable
  
  serialVersionUID:
  
  6783782554224000243L
- Class weka.core.Matrix extends 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 Object implements Serializable
  - Serialized Fields
    - m_Values
```
ArrayList<E> m_Values
```
    - m_Hashtable
```
Hashtable<K,V> m_Hashtable
```
- Class weka.core.NormalizableDistance extends Object implements Serializable
  
  serialVersionUID:
  
  -2806520224161351708L
  - Serialized Fields
    - m_Data
```
weka.core.Instances m_Data
```
    - m_DontNormalize
```
boolean m_DontNormalize
```
    - m_Ranges
```
double[][] m_Ranges
```
    - m_AttributeIndices
```
weka.core.Range m_AttributeIndices
```
    - m_ActiveIndices
```
boolean[] m_ActiveIndices
```
    - m_Validated
```
boolean m_Validated
```
- Class weka.core.NoSupportForMissingValuesException extends weka.core.WekaException implements Serializable
  
  serialVersionUID:
  
  5161175307725893973L
- Class weka.core.ProtectedProperties extends Properties implements Serializable
  
  serialVersionUID:
  
  3876658672657323985L
  - Serialized Fields
    - closed
```
boolean closed
```
- Class weka.core.Queue extends Object implements Serializable
  
  serialVersionUID:
  
  -1141282001146389780L
  - Serialized Fields
    - m_Head
```
weka.core.Queue.QueueNode m_Head
```
    - m_Tail
```
weka.core.Queue.QueueNode m_Tail
```
    - m_Size
```
int m_Size
```
- Class weka.core.Queue.QueueNode extends Object implements Serializable
  
  serialVersionUID:
  
  -5119358279412097455L
  - Serialized Fields
    - m_Next
```
weka.core.Queue.QueueNode m_Next
```
    - m_Contents
```
Object m_Contents
```
- Class weka.core.RandomVariates extends Random implements Serializable
  
  serialVersionUID:
  
  -4763742718209460354L
- Class weka.core.Range extends Object implements Serializable
  
  serialVersionUID:
  
  3667337062176835900L
  - Serialized Fields
    - m_RangeStrings
```
ArrayList<E> m_RangeStrings
```
    - m_Invert
```
boolean m_Invert
```
    - 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 Object implements Serializable
  
  serialVersionUID:
  
  6947341624626504975L
  - Serialized Fields
    - m_Selected
```
int m_Selected
```
    - m_Tags
```
weka.core.Tag[] m_Tags
```
- Class weka.core.SerializedObject extends Object implements Serializable
  
  serialVersionUID:
  
  6635502953928860434L
  - Serialized Fields
    - m_storedObjectArray
```
byte[] m_storedObjectArray
```
    - m_isCompressed
```
boolean m_isCompressed
```
    - m_isJython
```
boolean m_isJython
```
- Class weka.core.Settings extends Object implements Serializable
  
  serialVersionUID:
  
  -4005372566372478008L
  - Serialized Fields
    - m_settings
```
Map<K,V> m_settings
```
    - m_storeName
```
String m_storeName
```
    - m_ID
```
String m_ID
```
- Class weka.core.Settings.SettingKey extends Object implements Serializable
  - Serialized Fields
    - m_key
```
String m_key
```
    - m_description
```
String m_description
```
    - m_toolTip
```
String m_toolTip
```
    - m_pickList
```
List<E> m_pickList
```
    - m_meta
```
Map<K,V> m_meta
```
- Class weka.core.SetupGenerator extends Object implements Serializable
  
  serialVersionUID:
  
  7683008589774888142L
  - Serialized Fields
    - m_BaseObject
```
Serializable m_BaseObject
```
    - m_Parameters
```
weka.core.setupgenerator.AbstractParameter[] m_Parameters
```
    - m_Initialized
```
boolean m_Initialized
```
    - m_Space
```
weka.core.setupgenerator.Space m_Space
```
- Class weka.core.SingleIndex extends Object implements Serializable
  
  serialVersionUID:
  
  5285169134430839303L
  - Serialized Fields
    - m_IndexString
```
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 Object implements Serializable
  
  serialVersionUID:
  
  3326379903447135320L
  - Serialized Fields
    - m_ID
```
int m_ID
```
    - m_IDStr
```
String m_IDStr
```
    - m_Readable
```
String m_Readable
```
- Class weka.core.TestInstances extends Object implements Serializable
  
  serialVersionUID:
  
  -6263968936330390469L
  - Serialized Fields
    - m_Words
```
String[] m_Words
```
    - m_WordSeparators
```
String m_WordSeparators
```
    - m_Relation
```
String m_Relation
```
    - m_Seed
```
int m_Seed
```
    - m_Random
```
Random m_Random
```
    - m_NumInstances
```
int m_NumInstances
```
    - m_ClassType
```
int m_ClassType
```
    - m_NumClasses
```
int m_NumClasses
```
    - m_ClassIndex
```
int m_ClassIndex
```
    - m_NumNominal
```
int m_NumNominal
```
    - m_NumNominalValues
```
int m_NumNominalValues
```
    - m_NumNumeric
```
int m_NumNumeric
```
    - m_NumString
```
int m_NumString
```
    - m_NumDate
```
int m_NumDate
```
    - m_NumRelational
```
int m_NumRelational
```
    - m_NumRelationalNominal
```
int m_NumRelationalNominal
```
    - m_NumRelationalNominalValues
```
int m_NumRelationalNominalValues
```
    - m_NumRelationalNumeric
```
int m_NumRelationalNumeric
```
    - m_NumRelationalString
```
int m_NumRelationalString
```
    - m_NumRelationalDate
```
int m_NumRelationalDate
```
    - m_MultiInstance
```
boolean m_MultiInstance
```
    - m_NumInstancesRelational
```
int m_NumInstancesRelational
```
    - m_RelationalFormat
```
weka.core.Instances[] m_RelationalFormat
```
    - m_RelationalClassFormat
```
weka.core.Instances m_RelationalClassFormat
```
    - m_Data
```
weka.core.Instances m_Data
```
    - m_Handler
```
weka.core.CapabilitiesHandler m_Handler
```
- Class weka.core.Trie extends Object implements Serializable
  
  serialVersionUID:
  
  -5897980928817779048L
  - Serialized Fields
    - m_Root
```
weka.core.Trie.TrieNode m_Root
```
    - m_HashCode
```
int m_HashCode
```
    - m_RecalcHashCode
```
boolean m_RecalcHashCode
```
- Class weka.core.Trie.TrieNode extends DefaultMutableTreeNode implements Serializable
  
  serialVersionUID:
  
  -2252907099391881148L
  - Serialized Fields
    - m_Children
```
Hashtable<K,V> m_Children
```
- Class weka.core.UnassignedClassException extends RuntimeException implements Serializable
  
  serialVersionUID:
  
  6268278694768818235L
- Class weka.core.UnassignedDatasetException extends 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 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_Function
```
int m_Function
```
    - m_BalanceClass
```
boolean m_BalanceClass
```
    - m_PerturbationFraction
```
double m_PerturbationFraction
```
    - m_nextClassShouldBeZero
```
boolean m_nextClassShouldBeZero
```
    - m_lastLabel
```
double m_lastLabel
```
- 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
    - m_ActualGenerator
```
InstanceStream m_ActualGenerator
```
      the actual data generator.
    - m_Generator
```
ClassOption m_Generator
```
      for manipulating the generator through the GUI.
    - instanceConverter
```
SamoaToWekaInstanceConverter instanceConverter
```
- Class weka.datagenerators.classifiers.classification.RandomRBF extends weka.datagenerators.ClassificationGenerator implements Serializable
  
  serialVersionUID:
  
  6069033710635728720L
  - Serialized Fields
    - m_NumAttributes
```
int m_NumAttributes
```
    - m_NumClasses
```
int m_NumClasses
```
    - m_NumCentroids
```
int m_NumCentroids
```
    - m_centroids
```
double[][] m_centroids
```
    - m_centroidClasses
```
int[] m_centroidClasses
```
    - m_centroidWeights
```
double[] m_centroidWeights
```
    - m_centroidStdDevs
```
double[] m_centroidStdDevs
```
- Class weka.datagenerators.classifiers.classification.RDG1 extends weka.datagenerators.ClassificationGenerator implements Serializable
  
  serialVersionUID:
  
  7751005204635320414L
  - Serialized Fields
    - m_NumAttributes
```
int m_NumAttributes
```
    - m_NumClasses
```
int m_NumClasses
```
    - m_MaxRuleSize
```
int m_MaxRuleSize
```
    - m_MinRuleSize
```
int m_MinRuleSize
```
    - m_NumIrrelevant
```
int m_NumIrrelevant
```
    - m_NumNumeric
```
int m_NumNumeric
```
    - m_VoteFlag
```
boolean m_VoteFlag
```
    - m_DecisionList
```
ArrayList<E> m_DecisionList
```
    - m_AttList_Irr
```
boolean[] m_AttList_Irr
```
Package weka.gui
- Class weka.gui.AbstractGUIApplication extends JPanel implements Serializable
  
  serialVersionUID:
  
  -2116770422043462730L
  - Serialized Fields
    - m_perspectiveManager
```
weka.gui.PerspectiveManager m_perspectiveManager
```
    - m_applicationSettings
```
weka.core.Settings m_applicationSettings
```
- Class weka.gui.AbstractPerspective extends JPanel implements Serializable
  
  serialVersionUID:
  
  1919714661641262879L
  - Serialized Fields
    - m_isActive
```
boolean m_isActive
```
    - m_isLoaded
```
boolean m_isLoaded
```
    - m_mainApplication
```
weka.gui.GUIApplication m_mainApplication
```
    - m_perspectiveTitle
```
String m_perspectiveTitle
```
    - m_perspectiveID
```
String m_perspectiveID
```
    - m_perspectiveTipText
```
String m_perspectiveTipText
```
    - m_perspectiveIcon
```
Icon m_perspectiveIcon
```
    - m_log
```
weka.gui.Logger m_log
```
- Class weka.gui.AttributeListPanel extends JPanel implements Serializable
  
  serialVersionUID:
  
  -2030706987910400362L
  - Serialized Fields
    - m_Table
```
JTable m_Table
```
    - m_Model
```
weka.gui.AttributeListPanel.AttributeTableModel m_Model
```
- Class weka.gui.AttributeSelectionPanel extends JPanel implements Serializable
  
  serialVersionUID:
  
  627131485290359194L
  - Serialized Fields
    - m_IncludeAll
```
JButton m_IncludeAll
```
    - m_RemoveAll
```
JButton m_RemoveAll
```
    - m_Invert
```
JButton m_Invert
```
    - m_Pattern
```
JButton m_Pattern
```
    - m_Table
```
JTable m_Table
```
    - m_Model
```
weka.gui.AttributeSelectionPanel.AttributeTableModel m_Model
```
    - m_PatternRegEx
```
String m_PatternRegEx
```
- Class weka.gui.AttributeSummaryPanel extends JPanel implements Serializable
  
  serialVersionUID:
  
  -5434987925737735880L
  - Serialized Fields
    - m_AttributeNameLab
```
JLabel m_AttributeNameLab
```
    - m_AttributeWeightLab
```
JLabel m_AttributeWeightLab
```
    - m_WeightLab
```
JLabel m_WeightLab
```
    - m_AttributeTypeLab
```
JLabel m_AttributeTypeLab
```
    - m_MissingLab
```
JLabel m_MissingLab
```
    - m_UniqueLab
```
JLabel m_UniqueLab
```
    - m_DistinctLab
```
JLabel m_DistinctLab
```
    - m_StatsTable
```
JTable m_StatsTable
```
    - m_Instances
```
weka.core.Instances m_Instances
```
    - m_AttributeStats
```
weka.core.AttributeStats[] m_AttributeStats
```
    - m_allEqualWeights
```
boolean m_allEqualWeights
```
- Class weka.gui.AttributeVisualizationPanel extends weka.gui.visualize.PrintablePanel implements Serializable
  
  serialVersionUID:
  
  -8650490488825371193L
  - Serialized Fields
    - m_data
```
weka.core.Instances m_data
```
    - m_as
```
weka.core.AttributeStats m_as
```
    - m_asCache
```
weka.core.AttributeStats[] m_asCache
```
    - m_attribIndex
```
int m_attribIndex
```
    - m_maxValue
```
double m_maxValue
```
    - m_histBarCounts
```
double[] m_histBarCounts
```
    - m_histBarClassCounts
```
weka.core.SparseInstance[] m_histBarClassCounts
```
    - m_barRange
```
double m_barRange
```
    - m_classIndex
```
int m_classIndex
```
    - m_hc
```
Thread m_hc
```
    - m_threadRun
```
boolean m_threadRun
```
    - m_doneCurrentAttribute
```
boolean m_doneCurrentAttribute
```
    - m_displayCurrentAttribute
```
boolean m_displayCurrentAttribute
```
    - m_colorAttrib
```
JComboBox<E> m_colorAttrib
```
    - m_fm
```
FontMetrics m_fm
```
    - m_locker
```
Integer m_locker
```
    - m_colorList
```
ArrayList<E> m_colorList
```
- Class weka.gui.CheckBoxList extends JList implements Serializable
  
  serialVersionUID:
  
  -4359573373359270258L
- Class weka.gui.CheckBoxList.CheckBoxListModel extends DefaultListModel implements Serializable
  
  serialVersionUID:
  
  7772455499540273507L
- Class weka.gui.CheckBoxList.CheckBoxListRenderer extends JCheckBox implements Serializable
  
  serialVersionUID:
  
  1059591605858524586L
- Class weka.gui.CloseableTabTitle extends JPanel implements Serializable
  
  serialVersionUID:
  
  9178081197757118130L
  - Serialized Fields
    - m_enclosingPane
```
JTabbedPane m_enclosingPane
```
    - m_tabLabel
```
JLabel m_tabLabel
```
    - m_tabButton
```
weka.gui.CloseableTabTitle.TabButton m_tabButton
```
    - m_callback
```
weka.gui.CloseableTabTitle.ClosingCallback m_callback
```
    - m_closeAccelleratorText
```
String m_closeAccelleratorText
```
- Class weka.gui.ConverterFileChooser extends JFileChooser implements Serializable
  
  serialVersionUID:
  
  -5373058011025481738L
  - Serialized Fields
    - m_Self
```
weka.gui.ConverterFileChooser m_Self
```
    - m_DialogType
```
int m_DialogType
```
    - m_CurrentConverter
```
Object m_CurrentConverter
```
    - m_ConfigureButton
```
JButton m_ConfigureButton
```
    - m_Listener
```
PropertyChangeListener m_Listener
```
    - m_LastFilter
```
FileFilter m_LastFilter
```
    - m_CapabilitiesFilter
```
weka.core.Capabilities m_CapabilitiesFilter
```
    - m_OverwriteWarning
```
boolean m_OverwriteWarning
```
    - m_FileMustExist
```
boolean m_FileMustExist
```
    - m_CheckBoxOptions
```
JCheckBox m_CheckBoxOptions
```
    - m_LabelOptions
```
JLabel m_LabelOptions
```
    - m_Editor
```
weka.gui.GenericObjectEditor m_Editor
```
    - m_EditorResult
```
int m_EditorResult
```
    - m_CoreConvertersOnly
```
boolean m_CoreConvertersOnly
```
- Class weka.gui.CostBenefitAnalysisPanel extends JPanel implements Serializable
  
  serialVersionUID:
  
  5364871945448769003L
  - Serialized Fields
    - m_performancePanel
```
weka.gui.visualize.VisualizePanel m_performancePanel
```
    - m_costBenefitPanel
```
weka.gui.visualize.VisualizePanel m_costBenefitPanel
```
    - m_classAttribute
```
weka.core.Attribute m_classAttribute
```
    - m_masterPlot
```
weka.gui.visualize.PlotData2D m_masterPlot
```
    - m_costBenefit
```
weka.gui.visualize.PlotData2D m_costBenefit
```
    - m_shapeSizes
```
int[] m_shapeSizes
```
    - m_previousShapeIndex
```
int m_previousShapeIndex
```
    - m_thresholdSlider
```
JSlider m_thresholdSlider
```
    - m_percPop
```
JRadioButton m_percPop
```
    - m_percOfTarget
```
JRadioButton m_percOfTarget
```
    - m_threshold
```
JRadioButton m_threshold
```
    - m_percPopLab
```
JLabel m_percPopLab
```
    - m_percOfTargetLab
```
JLabel m_percOfTargetLab
```
    - m_thresholdLab
```
JLabel m_thresholdLab
```
    - m_conf_predictedA
```
JLabel m_conf_predictedA
```
    - m_conf_predictedB
```
JLabel m_conf_predictedB
```
    - m_conf_actualA
```
JLabel m_conf_actualA
```
    - m_conf_actualB
```
JLabel m_conf_actualB
```
    - m_conf_aa
```
weka.gui.CostBenefitAnalysisPanel.ConfusionCell m_conf_aa
```
    - m_conf_ab
```
weka.gui.CostBenefitAnalysisPanel.ConfusionCell m_conf_ab
```
    - m_conf_ba
```
weka.gui.CostBenefitAnalysisPanel.ConfusionCell m_conf_ba
```
    - m_conf_bb
```
weka.gui.CostBenefitAnalysisPanel.ConfusionCell m_conf_bb
```
    - m_cost_predictedA
```
JLabel m_cost_predictedA
```
    - m_cost_predictedB
```
JLabel m_cost_predictedB
```
    - m_cost_actualA
```
JLabel m_cost_actualA
```
    - m_cost_actualB
```
JLabel m_cost_actualB
```
    - m_cost_aa
```
JTextField m_cost_aa
```
    - m_cost_ab
```
JTextField m_cost_ab
```
    - m_cost_ba
```
JTextField m_cost_ba
```
    - m_cost_bb
```
JTextField m_cost_bb
```
    - m_maximizeCB
```
JButton m_maximizeCB
```
    - m_minimizeCB
```
JButton m_minimizeCB
```
    - m_costR
```
JRadioButton m_costR
```
    - m_benefitR
```
JRadioButton m_benefitR
```
    - m_costBenefitL
```
JLabel m_costBenefitL
```
    - m_costBenefitV
```
JLabel m_costBenefitV
```
    - m_randomV
```
JLabel m_randomV
```
    - m_gainV
```
JLabel m_gainV
```
    - m_originalPopSize
```
int m_originalPopSize
```
    - m_totalPopField
```
JTextField m_totalPopField
```
    - m_totalPopPrevious
```
int m_totalPopPrevious
```
    - m_classificationAccV
```
JLabel m_classificationAccV
```
    - m_tpPrevious
```
double m_tpPrevious
```
    - m_fpPrevious
```
double m_fpPrevious
```
    - m_tnPrevious
```
double m_tnPrevious
```
    - m_fnPrevious
```
double m_fnPrevious
```
- Class weka.gui.CostBenefitAnalysisPanel.ConfusionCell extends JPanel implements Serializable
  
  serialVersionUID:
  
  6148640235434494767L
  - Serialized Fields
    - m_conf_cell
```
JLabel m_conf_cell
```
    - m_conf_perc
```
JLabel m_conf_perc
```
    - m_percentageP
```
JPanel m_percentageP
```
    - m_percentage
```
double m_percentage
```
- Class weka.gui.DatabaseConnectionDialog extends JDialog implements Serializable
  
  serialVersionUID:
  
  -1081946748666245054L
  - Serialized Fields
    - m_DbaseURLText
```
JTextField m_DbaseURLText
```
    - m_DbaseURLLab
```
JLabel m_DbaseURLLab
```
    - m_UserNameText
```
JTextField m_UserNameText
```
    - m_UserNameLab
```
JLabel m_UserNameLab
```
    - m_PasswordText
```
JPasswordField m_PasswordText
```
    - m_PasswordLab
```
JLabel m_PasswordLab
```
    - m_DebugCheckBox
```
JCheckBox m_DebugCheckBox
```
    - m_DebugLab
```
JLabel m_DebugLab
```
    - m_returnValue
```
int m_returnValue
```
- Class weka.gui.EnvironmentField extends JPanel implements Serializable
  
  serialVersionUID:
  
  -3125404573324734121L
  - Serialized Fields
    - m_label
```
JLabel m_label
```
    - m_combo
```
JComboBox<E> m_combo
```
    - m_env
```
weka.core.Environment m_env
```
    - m_currentContents
```
String m_currentContents
```
    - m_firstCaretPos
```
int m_firstCaretPos
```
    - m_previousCaretPos
```
int m_previousCaretPos
```
    - m_currentCaretPos
```
int m_currentCaretPos
```
    - m_support
```
PropertyChangeSupport m_support
```
- Class weka.gui.EnvironmentField.WideComboBox extends JComboBox implements Serializable
  
  serialVersionUID:
  
  -6512065375459733517L
  - Serialized Fields
    - m_layingOut
```
boolean m_layingOut
```
- Class weka.gui.ETable extends JTable implements Serializable
  
  serialVersionUID:
  
  -3028630226368293049L
  - Serialized Fields
    - MAC_FOCUSED_SELECTED_CELL_HORIZONTAL_LINE_COLOR
```
Color MAC_FOCUSED_SELECTED_CELL_HORIZONTAL_LINE_COLOR
```
    - MAC_UNFOCUSED_SELECTED_CELL_HORIZONTAL_LINE_COLOR
```
Color MAC_UNFOCUSED_SELECTED_CELL_HORIZONTAL_LINE_COLOR
```
    - MAC_UNFOCUSED_SELECTED_CELL_BACKGROUND_COLOR
```
Color MAC_UNFOCUSED_SELECTED_CELL_BACKGROUND_COLOR
```
    - MAC_FOCUSED_UNSELECTED_VERTICAL_LINE_COLOR
```
Color MAC_FOCUSED_UNSELECTED_VERTICAL_LINE_COLOR
```
    - MAC_FOCUSED_SELECTED_VERTICAL_LINE_COLOR
```
Color MAC_FOCUSED_SELECTED_VERTICAL_LINE_COLOR
```
    - MAC_UNFOCUSED_UNSELECTED_VERTICAL_LINE_COLOR
```
Color MAC_UNFOCUSED_UNSELECTED_VERTICAL_LINE_COLOR
```
    - MAC_UNFOCUSED_SELECTED_VERTICAL_LINE_COLOR
```
Color MAC_UNFOCUSED_SELECTED_VERTICAL_LINE_COLOR
```
    - MAC_OS_ALTERNATE_ROW_COLOR
```
Color MAC_OS_ALTERNATE_ROW_COLOR
```
- Class weka.gui.EvaluationMetricSelectionDialog extends JDialog implements Serializable
  
  serialVersionUID:
  
  4451184027143094270L
  - Serialized Fields
    - m_selectedEvalMetrics
```
List<E> m_selectedEvalMetrics
```
- Class weka.gui.ExtensionFileFilter extends FileFilter implements Serializable
  
  serialVersionUID:
  
  -5960622841390665131L
  - Serialized Fields
    - m_Description
```
String m_Description
```
    - m_Extension
```
String[] m_Extension
```
- Class weka.gui.FileEnvironmentField extends weka.gui.EnvironmentField implements Serializable
  
  serialVersionUID:
  
  -233731548086207652L
  - Serialized Fields
    - m_fileEditor
```
weka.gui.FileEditor m_fileEditor
```
    - m_fileEditorDialog
```
weka.gui.PropertyDialog m_fileEditorDialog
```
    - m_browseBut
```
JButton m_browseBut
```
- Class weka.gui.GenericObjectEditor.CapabilitiesFilterDialog extends JDialog implements Serializable
  
  serialVersionUID:
  
  -7845503345689646266L
  - Serialized Fields
    - m_Self
```
JDialog m_Self
```
    - m_Popup
```
JPopupMenu m_Popup
```
    - m_Capabilities
```
weka.core.Capabilities m_Capabilities
```
    - m_InfoLabel
```
JLabel m_InfoLabel
```
    - m_List
```
weka.gui.CheckBoxList m_List
```
    - m_OkButton
```
JButton m_OkButton
```
    - m_CancelButton
```
JButton m_CancelButton
```
- Class weka.gui.GenericObjectEditor.GOEPanel extends JPanel implements Serializable
  
  serialVersionUID:
  
  3656028520876011335L
  - Serialized Fields
    - m_ChildPropertySheet
```
weka.gui.PropertySheetPanel m_ChildPropertySheet
```
    - m_ClassNameLabel
```
JLabel m_ClassNameLabel
```
    - m_OpenBut
```
JButton m_OpenBut
```
    - m_SaveBut
```
JButton m_SaveBut
```
    - m_okBut
```
JButton m_okBut
```
    - m_cancelBut
```
JButton m_cancelBut
```
    - m_FileChooser
```
JFileChooser m_FileChooser
```
- Class weka.gui.GenericObjectEditor.GOETreeNode extends DefaultMutableTreeNode implements Serializable
  
  serialVersionUID:
  
  -1707872446682150133L
  - Serialized Fields
    - m_Capabilities
```
weka.core.Capabilities m_Capabilities
```
    - m_toolTipText
```
String m_toolTipText
```
- Class weka.gui.GenericObjectEditor.JTreePopupMenu extends JPopupMenu implements Serializable
  
  serialVersionUID:
  
  -3404546329655057387L
  - Serialized Fields
    - m_Self
```
JPopupMenu m_Self
```
    - m_tree
```
JTree m_tree
```
    - m_scroller
```
JScrollPane m_scroller
```
    - m_FilterButton
```
JButton m_FilterButton
```
    - m_RemoveFilterButton
```
JButton m_RemoveFilterButton
```
    - m_CloseButton
```
JButton m_CloseButton
```
- Class weka.gui.GenericObjectEditorHistory extends Object implements Serializable
  
  serialVersionUID:
  
  -1255734638729633595L
  - Serialized Fields
    - m_History
```
Vector<E> m_History
```
- Class weka.gui.GenericObjectEditorHistory.HistorySelectionEvent extends EventObject implements Serializable
  
  serialVersionUID:
  
  45824542929908105L
  - Serialized Fields
    - m_HistoryItem
```
Object m_HistoryItem
```
- Class weka.gui.GUIChooserApp extends JFrame implements Serializable
  
  serialVersionUID:
  
  9001529425230247914L
  - Serialized Fields
    - m_settings
```
weka.core.Settings m_settings
```
    - m_Self
```
weka.gui.GUIChooserApp m_Self
```
    - m_jMenuBar
```
JMenuBar m_jMenuBar
```
    - m_jMenuProgram
```
JMenu m_jMenuProgram
```
    - m_jMenuVisualization
```
JMenu m_jMenuVisualization
```
    - m_jMenuTools
```
JMenu m_jMenuTools
```
    - m_jMenuHelp
```
JMenu m_jMenuHelp
```
    - m_Frames
```
Vector<E> m_Frames
```
    - m_PanelApplications
```
JPanel m_PanelApplications
```
    - m_WorkbenchBut
```
JButton m_WorkbenchBut
```
    - m_ExplorerBut
```
JButton m_ExplorerBut
```
    - m_ExperimenterBut
```
JButton m_ExperimenterBut
```
    - m_KnowledgeFlowBut
```
JButton m_KnowledgeFlowBut
```
    - m_SimpleBut
```
JButton m_SimpleBut
```
    - m_weka
```
Image m_weka
```
    - m_FileChooserTreeVisualizer
```
JFileChooser m_FileChooserTreeVisualizer
```
    - m_FileChooserGraphVisualizer
```
JFileChooser m_FileChooserGraphVisualizer
```
    - m_FileChooserPlot
```
JFileChooser m_FileChooserPlot
```
    - m_FileChooserROC
```
JFileChooser m_FileChooserROC
```
    - m_Icon
```
Image m_Icon
```
    - m_ChildFrames
```
HashSet<E> m_ChildFrames
```
- Class weka.gui.GUIChooserApp.ChildFrameSDI extends 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 Object implements Serializable
  
  serialVersionUID:
  
  -4151103338506077544L
  - Serialized Fields
    - m_Root
```
weka.gui.HierarchyPropertyParser.TreeNode m_Root
```
    - m_Current
```
weka.gui.HierarchyPropertyParser.TreeNode m_Current
```
    - m_Seperator
```
String m_Seperator
```
    - m_Depth
```
int m_Depth
```
- Class weka.gui.InstancesSummaryPanel extends JPanel implements Serializable
  
  serialVersionUID:
  
  -5243579535296681063L
  - Serialized Fields
    - m_RelationNameLab
```
JLabel m_RelationNameLab
```
    - m_NumInstancesLab
```
JLabel m_NumInstancesLab
```
    - m_NumAttributesLab
```
JLabel m_NumAttributesLab
```
    - m_sumOfWeightsLab
```
JLabel m_sumOfWeightsLab
```
    - m_Instances
```
weka.core.Instances m_Instances
```
    - m_showZeroInstancesAsUnknown
```
boolean m_showZeroInstancesAsUnknown
```
- Class weka.gui.InteractiveTableModel extends AbstractTableModel implements Serializable
  
  serialVersionUID:
  
  -5113873323690309667L
  - Serialized Fields
    - m_hidden_index
```
int m_hidden_index
```
    - m_columnNames
```
String[] m_columnNames
```
    - m_dataVector
```
List<E> m_dataVector
```
- Class weka.gui.InteractiveTablePanel extends JPanel implements Serializable
  
  serialVersionUID:
  
  4495705463732140410L
  - Serialized Fields
    - m_columnNames
```
String[] m_columnNames
```
    - m_table
```
JTable m_table
```
    - m_scroller
```
JScrollPane m_scroller
```
    - m_tableModel
```
weka.gui.InteractiveTableModel m_tableModel
```
- Class weka.gui.ListSelectorDialog extends JDialog implements Serializable
  
  serialVersionUID:
  
  906147926840288895L
  - Serialized Fields
    - m_SelectBut
```
JButton m_SelectBut
```
    - m_CancelBut
```
JButton m_CancelBut
```
    - m_PatternBut
```
JButton m_PatternBut
```
    - m_List
```
JList<E> m_List
```
    - m_Result
```
int m_Result
```
    - m_PatternRegEx
```
String m_PatternRegEx
```
- Class weka.gui.LogPanel extends JPanel implements Serializable
  
  serialVersionUID:
  
  -4072464549112439484L
  - Serialized Fields
    - m_StatusLab
```
JLabel m_StatusLab
```
    - m_LogText
```
JTextArea m_LogText
```
    - m_logButton
```
JButton m_logButton
```
    - m_First
```
boolean m_First
```
    - m_TaskMonitor
```
weka.gui.WekaTaskMonitor m_TaskMonitor
```
- Class weka.gui.LogWindow extends JFrame implements Serializable
  
  serialVersionUID:
  
  5650947361381061112L
  - Serialized Fields
    - m_UseWordwrap
```
boolean m_UseWordwrap
```
    - m_Output
```
JTextPane m_Output
```
    - m_ButtonClear
```
JButton m_ButtonClear
```
    - m_ButtonClose
```
JButton m_ButtonClose
```
    - m_LabelCurrentSize
```
JLabel m_LabelCurrentSize
```
    - m_SpinnerMaxSize
```
JSpinner m_SpinnerMaxSize
```
    - m_CheckBoxWordwrap
```
JCheckBox m_CheckBoxWordwrap
```
- Class weka.gui.Main extends JFrame implements Serializable
  
  serialVersionUID:
  
  1453813254824253849L
  - Serialized Fields
    - m_Self
```
weka.gui.Main m_Self
```
    - m_GUIType
```
int m_GUIType
```
    - m_ChildFrames
```
HashSet<E> m_ChildFrames
```
    - m_FileChooserTreeVisualizer
```
JFileChooser m_FileChooserTreeVisualizer
```
    - m_FileChooserGraphVisualizer
```
JFileChooser m_FileChooserGraphVisualizer
```
    - m_FileChooserPlot
```
JFileChooser m_FileChooserPlot
```
    - m_FileChooserROC
```
JFileChooser m_FileChooserROC
```
    - jMenuHelp
```
JMenu jMenuHelp
```
    - jMenuVisualization
```
JMenu jMenuVisualization
```
    - jMenuTools
```
JMenu jMenuTools
```
    - jDesktopPane
```
JDesktopPane jDesktopPane
```
    - jMenuApplications
```
JMenu jMenuApplications
```
    - jMenuItemHelpSystemInfo
```
JMenuItem jMenuItemHelpSystemInfo
```
    - jMenuItemHelpAbout
```
JMenuItem jMenuItemHelpAbout
```
    - jMenuItemHelpHomepage
```
JMenuItem jMenuItemHelpHomepage
```
    - jMenuItemHelpWekaWiki
```
JMenuItem jMenuItemHelpWekaWiki
```
    - jMenuItemHelpSourceforge
```
JMenuItem jMenuItemHelpSourceforge
```
    - jMenuItemVisualizationBoundaryVisualizer
```
JMenuItem jMenuItemVisualizationBoundaryVisualizer
```
    - jMenuItemVisualizationGraphVisualizer
```
JMenuItem jMenuItemVisualizationGraphVisualizer
```
    - jMenuItemVisualizationTreeVisualizer
```
JMenuItem jMenuItemVisualizationTreeVisualizer
```
    - jMenuItemVisualizationROC
```
JMenuItem jMenuItemVisualizationROC
```
    - jMenuItemVisualizationPlot
```
JMenuItem jMenuItemVisualizationPlot
```
    - jMenuItemToolsSqlViewer
```
JMenuItem jMenuItemToolsSqlViewer
```
    - jMenuItemToolsGroovyConsole
```
JMenuItem jMenuItemToolsGroovyConsole
```
    - jMenuItemToolsJythonConsole
```
JMenuItem jMenuItemToolsJythonConsole
```
    - jMenuItemToolsArffViewer
```
JMenuItem jMenuItemToolsArffViewer
```
    - jMenuItemApplicationsSimpleCLI
```
JMenuItem jMenuItemApplicationsSimpleCLI
```
    - jMenuItemApplicationsKnowledgeFlow
```
JMenuItem jMenuItemApplicationsKnowledgeFlow
```
    - jMenuItemApplicationsExperimenter
```
JMenuItem jMenuItemApplicationsExperimenter
```
    - jMenuItemApplicationsExplorer
```
JMenuItem jMenuItemApplicationsExplorer
```
    - jMenuItemProgramExit
```
JMenuItem jMenuItemProgramExit
```
    - jMenuItemProgramLogWindow
```
JMenuItem jMenuItemProgramLogWindow
```
    - jMenuItemProgramMemoryUsage
```
JMenuItem jMenuItemProgramMemoryUsage
```
    - jMenuProgram
```
JMenu jMenuProgram
```
    - jMenuExtensions
```
JMenu jMenuExtensions
```
    - jMenuWindows
```
JMenu jMenuWindows
```
    - jMenuBar
```
JMenuBar jMenuBar
```
- Class weka.gui.Main.BackgroundDesktopPane extends JDesktopPane implements Serializable
  
  serialVersionUID:
  
  2046713123452402745L
  - Serialized Fields
    - m_Background
```
Image m_Background
```
- Class weka.gui.Main.ChildFrameMDI extends JInternalFrame implements Serializable
  
  serialVersionUID:
  
  3772573515346899959L
  - Serialized Fields
    - m_Parent
```
weka.gui.Main m_Parent
```
- Class weka.gui.Main.ChildFrameSDI extends JFrame implements Serializable
  
  serialVersionUID:
  
  8588293938686425618L
  - Serialized Fields
    - m_Parent
```
weka.gui.Main m_Parent
```
- Class weka.gui.MemoryUsagePanel extends JPanel implements Serializable
  
  serialVersionUID:
  
  -4812319791687471721L
  - Serialized Fields
    - m_History
```
Vector<E> m_History
```
    - m_Memory
```
weka.core.Memory m_Memory
```
    - m_Monitor
```
weka.gui.MemoryUsagePanel.MemoryMonitor m_Monitor
```
    - m_ButtonGC
```
JButton m_ButtonGC
```
    - m_Percentages
```
Vector<E> m_Percentages
```
    - m_Colors
```
Hashtable<K,V> m_Colors
```
    - m_DefaultColor
```
Color m_DefaultColor
```
    - m_BackgroundColor
```
Color m_BackgroundColor
```
    - m_FrameLocation
```
Point m_FrameLocation
```
- Class weka.gui.PackageManager extends JPanel implements Serializable
  
  serialVersionUID:
  
  -7463821313750352385L
  - Serialized Fields
    - m_table
```
JTable m_table
```
    - m_splitP
```
JSplitPane m_splitP
```
    - m_infoPane
```
JEditorPane m_infoPane
```
    - m_installedBut
```
JRadioButton m_installedBut
```
    - m_availableBut
```
JRadioButton m_availableBut
```
    - m_allBut
```
JRadioButton m_allBut
```
    - m_installBut
```
JButton m_installBut
```
    - m_forceBut
```
JCheckBox m_forceBut
```
    - m_uninstallBut
```
JButton m_uninstallBut
```
    - m_refreshCacheBut
```
JButton m_refreshCacheBut
```
    - m_toggleLoad
```
JButton m_toggleLoad
```
    - m_progress
```
JProgressBar m_progress
```
    - m_detailLabel
```
JLabel m_detailLabel
```
    - m_backB
```
JButton m_backB
```
    - m_browserHistory
```
LinkedList<E> m_browserHistory
```
    - m_homeB
```
JButton m_homeB
```
    - m_browserTools
```
JToolBar m_browserTools
```
    - m_newPackagesAvailableL
```
JLabel m_newPackagesAvailableL
```
    - m_model
```
DefaultTableModel m_model
```
    - m_packageLookupInfo
```
Map<K,V> m_packageLookupInfo
```
    - m_allPackages
```
List<E> m_allPackages
```
    - m_installedPackages
```
List<E> m_installedPackages
```
    - m_availablePackages
```
List<E> m_availablePackages
```
    - m_packageDescriptions
```
Map<K,V> m_packageDescriptions
```
    - m_searchResults
```
List<E> m_searchResults
```
    - m_searchField
```
JTextField m_searchField
```
    - m_searchHitsLab
```
JLabel m_searchHitsLab
```
    - m_sortColumn
```
int m_sortColumn
```
    - m_reverseSort
```
boolean m_reverseSort
```
    - m_unofficialBut
```
JButton m_unofficialBut
```
    - m_unofficialChooser
```
weka.gui.FileEnvironmentField m_unofficialChooser
```
    - m_unofficialFrame
```
JFrame m_unofficialFrame
```
    - m_packageComparator
```
Comparator<T> m_packageComparator
```
    - m_installing
```
boolean m_installing
```
    - m_cacheEstablished
```
boolean m_cacheEstablished
```
    - m_cacheRefreshInProgress
```
boolean m_cacheRefreshInProgress
```
- Class weka.gui.PackageManager.ComboBoxEditor extends DefaultCellEditor implements Serializable
  
  serialVersionUID:
  
  5240331667759901966L
- Class weka.gui.PasswordField extends JPanel implements Serializable
  
  serialVersionUID:
  
  8180782063577036194L
  - Serialized Fields
    - m_password
```
JPasswordField m_password
```
    - m_label
```
JLabel m_label
```
    - m_support
```
PropertyChangeSupport m_support
```
- Class weka.gui.PerspectiveManager extends JPanel implements Serializable
  
  serialVersionUID:
  
  -6099806469970666208L
  - Serialized Fields
    - m_perspectiveToolBar
```
JToolBar m_perspectiveToolBar
```
    - m_perspectiveGroup
```
ButtonGroup m_perspectiveGroup
```
    - m_mainApp
```
weka.gui.GUIApplication m_mainApp
```
    - m_perspectiveCache
```
Map<K,V> m_perspectiveCache
```
    - m_perspectiveNameLookup
```
Map<K,V> m_perspectiveNameLookup
```
    - m_perspectives
```
List<E> m_perspectives
```
    - m_visiblePerspectives
```
LinkedHashSet<E> m_visiblePerspectives
```
    - m_allowedPerspectiveClassPrefixes
```
List<E> m_allowedPerspectiveClassPrefixes
```
    - m_disallowedPerspectiveClassPrefixes
```
List<E> m_disallowedPerspectiveClassPrefixes
```
    - m_mainPerspective
```
weka.gui.Perspective m_mainPerspective
```
    - m_configAndPerspectivesVisible
```
boolean m_configAndPerspectivesVisible
```
    - m_configAndPerspectivesToolBar
```
JPanel m_configAndPerspectivesToolBar
```
    - m_appMenuBar
```
JMenuBar m_appMenuBar
```
    - m_programMenu
```
JMenu m_programMenu
```
    - m_togglePerspectivesToolBar
```
JMenuItem m_togglePerspectivesToolBar
```
    - m_LogPanel
```
weka.gui.LogPanel m_LogPanel
```
    - m_logVisible
```
boolean m_logVisible
```
- Class weka.gui.PerspectiveManager.SelectedPerspectivePreferences extends Object implements Serializable
  
  serialVersionUID:
  
  -2665480123235382483L
  - Serialized Fields
    - m_userVisiblePerspectives
```
LinkedList<E> m_userVisiblePerspectives
```
    - m_perspectivesToolbarVisibleOnStartup
```
boolean m_perspectivesToolbarVisibleOnStartup
```
    - m_perspectivesToolbarAlwaysHidden
```
boolean m_perspectivesToolbarAlwaysHidden
```
- Class weka.gui.PropertyDialog extends JDialog implements Serializable
  
  serialVersionUID:
  
  -2314850859392433539L
  - Serialized Fields
    - m_Editor
```
PropertyEditor m_Editor
```
    - m_EditorComponent
```
Component m_EditorComponent
```
- Class weka.gui.PropertyPanel extends JPanel implements Serializable
  
  serialVersionUID:
  
  5370025273466728904L
  - Serialized Fields
    - m_Editor
```
PropertyEditor m_Editor
```
    - m_PD
```
weka.gui.PropertyDialog m_PD
```
    - m_HasCustomPanel
```
boolean m_HasCustomPanel
```
    - m_CustomPanel
```
JPanel m_CustomPanel
```
- Class weka.gui.PropertySelectorDialog extends JDialog implements Serializable
  
  serialVersionUID:
  
  -3155058124137930518L
  - Serialized Fields
    - m_SelectBut
```
JButton m_SelectBut
```
    - m_CancelBut
```
JButton m_CancelBut
```
    - m_Root
```
DefaultMutableTreeNode m_Root
```
    - m_RootObject
```
Object m_RootObject
```
    - m_Result
```
int m_Result
```
    - m_ResultPath
```
Object[] m_ResultPath
```
    - m_Tree
```
JTree m_Tree
```
- Class weka.gui.PropertySheetPanel extends JPanel implements Serializable
  
  serialVersionUID:
  
  -8939835593429918345L
  - Serialized Fields
    - m_Target
```
Object m_Target
```
    - m_showAboutPanel
```
boolean m_showAboutPanel
```
    - m_Customizer
```
weka.gui.beans.GOECustomizer m_Customizer
```
    - m_Properties
```
PropertyDescriptor[] m_Properties
```
    - m_Methods
```
MethodDescriptor[] m_Methods
```
    - m_Editors
```
PropertyEditor[] m_Editors
```
    - m_Values
```
Object[] m_Values
```
    - m_Views
```
JComponent[] m_Views
```
    - m_Labels
```
JLabel[] m_Labels
```
    - m_TipTexts
```
String[] m_TipTexts
```
    - m_HelpText
```
StringBuffer m_HelpText
```
    - m_HelpDialog
```
JDialog m_HelpDialog
```
    - m_CapabilitiesDialog
```
weka.gui.PropertySheetPanel.CapabilitiesHelpDialog m_CapabilitiesDialog
```
    - m_HelpBut
```
JButton m_HelpBut
```
    - m_CapabilitiesBut
```
JButton m_CapabilitiesBut
```
    - m_CapabilitiesText
```
JTextArea m_CapabilitiesText
```
    - m_NumEditable
```
int m_NumEditable
```
    - m_aboutPanel
```
JPanel m_aboutPanel
```
    - m_useEnvironmentPropertyEditors
```
boolean m_useEnvironmentPropertyEditors
```
    - support
```
PropertyChangeSupport support
```
- Class weka.gui.PropertySheetPanel.CapabilitiesHelpDialog extends JDialog implements Serializable
  
  serialVersionUID:
  
  -1404770987103289858L
  - Serialized Fields
    - m_Self
```
weka.gui.PropertySheetPanel.CapabilitiesHelpDialog m_Self
```
- Class weka.gui.ResultHistoryPanel extends JPanel implements Serializable
  
  serialVersionUID:
  
  4297069440135326829L
  - Serialized Fields
    - m_SingleText
```
JTextComponent m_SingleText
```
    - m_SingleName
```
String m_SingleName
```
    - m_Model
```
DefaultListModel<E> m_Model
```
    - m_List
```
JList<E> m_List
```
    - m_Results
```
Hashtable<K,V> m_Results
```
    - m_FramedOutput
```
Hashtable<K,V> m_FramedOutput
```
    - m_Objs
```
Hashtable<K,V> m_Objs
```
    - m_HandleRightClicks
```
boolean m_HandleRightClicks
```
    - m_Printer
```
weka.gui.visualize.PrintableComponent m_Printer
```
- Class weka.gui.ResultHistoryPanel.RKeyAdapter extends KeyAdapter implements Serializable
  
  serialVersionUID:
  
  -8675332541861828079L
- Class weka.gui.ResultHistoryPanel.RMouseAdapter extends MouseAdapter implements Serializable
  
  serialVersionUID:
  
  -8991922650552358669L
- Class weka.gui.SetInstancesPanel extends JPanel implements Serializable
  
  serialVersionUID:
  
  -384804041420453735L
  - Serialized Fields
    - m_OpenFileBut
```
JButton m_OpenFileBut
```
    - m_OpenURLBut
```
JButton m_OpenURLBut
```
    - m_CloseBut
```
JButton m_CloseBut
```
    - m_Summary
```
weka.gui.InstancesSummaryPanel m_Summary
```
    - m_ClassLabel
```
JLabel m_ClassLabel
```
    - m_ClassComboBox
```
JComboBox<E> m_ClassComboBox
```
    - m_FileChooser
```
weka.gui.ConverterFileChooser m_FileChooser
```
    - m_LastURL
```
String m_LastURL
```
    - m_IOThread
```
Thread m_IOThread
```
    - m_Support
```
PropertyChangeSupport m_Support
```
    - m_Instances
```
weka.core.Instances m_Instances
```
    - m_Loader
```
weka.core.converters.Loader m_Loader
```
    - m_ParentFrame
```
JFrame m_ParentFrame
```
    - m_CloseButPanel
```
JPanel m_CloseButPanel
```
    - m_readIncrementally
```
boolean m_readIncrementally
```
    - m_showZeroInstancesAsUnknown
```
boolean m_showZeroInstancesAsUnknown
```
    - m_showClassComboBox
```
boolean m_showClassComboBox
```
- Class weka.gui.SettingsEditor extends JPanel implements Serializable
  
  serialVersionUID:
  
  1453121012707399758L
  - Serialized Fields
    - m_ownerApp
```
weka.gui.GUIApplication m_ownerApp
```
    - m_settings
```
weka.core.Settings m_settings
```
    - m_settingsTabs
```
JTabbedPane m_settingsTabs
```
    - m_perspectiveSelector
```
weka.gui.SettingsEditor.PerspectiveSelector m_perspectiveSelector
```
    - m_perspectiveEditors
```
List<E> m_perspectiveEditors
```
- Class weka.gui.SettingsEditor.PerspectiveSelector extends JPanel implements Serializable
  
  serialVersionUID:
  
  -4765015948030757897L
  - Serialized Fields
    - m_perspectiveChecks
```
List<E> m_perspectiveChecks
```
    - m_toolBarVisibleOnStartup
```
JCheckBox m_toolBarVisibleOnStartup
```
- Class weka.gui.SettingsEditor.PickList extends JPanel implements Serializable
  
  serialVersionUID:
  
  3505647427533464230L
  - Serialized Fields
    - m_list
```
JComboBox<E> m_list
```
- Class weka.gui.SettingsEditor.SingleSettingsEditor extends JPanel implements Serializable
  
  serialVersionUID:
  
  8896265984902770239L
  - Serialized Fields
    - m_perspSettings
```
Map<K,V> m_perspSettings
```
    - m_editorMap
```
Map<K,V> m_editorMap
```
- Class weka.gui.SimpleCLI extends JFrame implements Serializable
  
  serialVersionUID:
  
  -50661410800566036L
- Class weka.gui.SimpleCLIPanel extends weka.gui.scripting.ScriptingPanel implements Serializable
  
  serialVersionUID:
  
  1089039734615114942L
  - Serialized Fields
    - m_mainApp
```
weka.gui.GUIApplication m_mainApp
```
    - m_perspectiveIcon
```
Icon m_perspectiveIcon
```
    - m_OutputArea
```
JTextPane m_OutputArea
```
    - m_Input
```
JTextField m_Input
```
    - m_CommandHistory
```
Vector<E> m_CommandHistory
```
    - m_HistoryPos
```
int m_HistoryPos
```
    - m_RunThread
```
Thread m_RunThread
```
    - m_Completion
```
weka.gui.SimpleCLIPanel.CommandlineCompletion m_Completion
```
- Class weka.gui.SortedTableModel extends AbstractTableModel implements Serializable
  
  serialVersionUID:
  
  4030907921461127548L
  - Serialized Fields
    - mModel
```
TableModel mModel
```
    - mIndices
```
int[] mIndices
```
    - mSortColumn
```
int mSortColumn
```
    - mAscending
```
boolean mAscending
```
- Class weka.gui.SplashWindow extends Window implements Serializable
  
  serialVersionUID:
  
  -2685134277041307795L
  - Serialized Fields
    - image
```
Image image
```
    - message
```
List<E> message
```
    - paintCalled
```
boolean paintCalled
```
- Class weka.gui.ViewerDialog extends JDialog implements Serializable
  
  serialVersionUID:
  
  6747718484736047752L
  - Serialized Fields
    - m_Result
```
int m_Result
```
    - m_OkButton
```
JButton m_OkButton
```
    - m_CancelButton
```
JButton m_CancelButton
```
    - m_UndoButton
```
JButton m_UndoButton
```
    - m_addInstanceButton
```
JButton m_addInstanceButton
```
    - m_ArffPanel
```
weka.gui.arffviewer.ArffPanel m_ArffPanel
```
- Class weka.gui.WekaTaskMonitor extends JPanel implements Serializable
  
  serialVersionUID:
  
  508309816292197578L
  - Serialized Fields
    - m_ActiveTasks
```
int m_ActiveTasks
```
    - m_MonitorLabel
```
JLabel m_MonitorLabel
```
    - m_iconStationary
```
ImageIcon m_iconStationary
```
    - m_iconAnimated
```
ImageIcon m_iconAnimated
```
    - m_animating
```
boolean m_animating
```
- 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 FlowLayout implements Serializable
  
  serialVersionUID:
  
  7055023419450383821L
  - Serialized Fields
    - preferredLayoutSize
```
Dimension preferredLayoutSize
```

Serialized Form

Package com.github.javacliparser

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

Serialized Fields

currentValue

requiredType

defaultCLIString

nullString

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

Serialized Fields

name

cliChar

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

minVal

maxVal

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

Serialized Fields

currentVal

defaultVal

minVal

maxVal

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

Serialized Fields

handler

options

classOptionNamesToPreparedObjects

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

Serialized Fields

currentList

expectedType

defaultList

separatorChar

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

Serialized Fields

optionLabels

optionDescriptions

defaultOptionIndex

chosenOptionIndex

Class com.github.javacliparser.Options extends 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 JPanel implements Serializable

Serialized Fields

editedOption

textField

editButton

changeListeners

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

Serialized Fields

editedOption

textField

editButton

changeListeners

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

Serialized Fields

editedOption

textField

browseButton

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

Serialized Fields

editedOption

Class com.github.javacliparser.gui.FloatOptionEditComponent extends JPanel implements Serializable